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qsc_code_frac_chars_top_3grams_quality_signal
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qsc_code_frac_chars_top_4grams_quality_signal
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qsc_code_frac_chars_dupe_6grams_quality_signal
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qsc_code_frac_chars_dupe_10grams_quality_signal
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qsc_code_frac_chars_replacement_symbols_quality_signal
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qsc_code_frac_chars_whitespace_quality_signal
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qsc_code_size_file_byte_quality_signal
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qsc_code_num_chars_line_mean_quality_signal
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qsc_code_cate_xml_start_quality_signal
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qsc_code_frac_chars_long_word_length_quality_signal
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qsc_code_frac_chars_hex_words_quality_signal
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qsc_code_frac_lines_prompt_comments_quality_signal
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qsc_code_frac_lines_assert_quality_signal
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qsc_codepython_cate_ast_quality_signal
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qsc_codepython_frac_lines_func_ratio_quality_signal
float64
qsc_codepython_cate_var_zero_quality_signal
bool
qsc_codepython_frac_lines_pass_quality_signal
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qsc_codepython_frac_lines_simplefunc_quality_signal
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1bd7c01a1037c147084869e77a8d55961e7cf34b
2,638
py
Python
tests/test_so3.py
utiasASRL/pylgmath
b392f9960c2b12758bd05a639966f161240282cb
[ "BSD-3-Clause" ]
3
2021-11-11T17:54:35.000Z
2021-12-09T01:44:16.000Z
tests/test_so3.py
utiasASRL/pylgmath
b392f9960c2b12758bd05a639966f161240282cb
[ "BSD-3-Clause" ]
null
null
null
tests/test_so3.py
utiasASRL/pylgmath
b392f9960c2b12758bd05a639966f161240282cb
[ "BSD-3-Clause" ]
null
null
null
import numpy as np import numpy.linalg as npla from pylgmath import so3op TEST_SIZE = 10000 def test_hat_hatinv(): test_vecs = np.random.uniform(-np.pi / 2, np.pi / 2, size=(TEST_SIZE, 3, 1)) mats = so3op.hat(test_vecs) vecs = so3op.hatinv(mats) # going back and forth assert np.allclose(test_vecs, vecs) # identity, rot^T = rot^-1 assert np.allclose(np.swapaxes(mats, -2, -1), -mats) def test_vec2rot_rot2vec(): test_vecs = np.random.uniform(-np.pi / 2, np.pi / 2, size=(TEST_SIZE, 3, 1)) mats = so3op.vec2rot(test_vecs) mats_numerical = so3op.vec2rot(test_vecs, 20) vecs = so3op.rot2vec(mats) # going back and forth assert np.allclose(test_vecs, vecs) # identity, rot^T = rot^-1 assert np.allclose(np.swapaxes(mats, -2, -1), npla.inv(mats)) # numerical vs analytical assert np.allclose(mats, mats_numerical, atol=1e-6) def test_vec2rot_rot2vec_special_cases(): test_vecs = np.expand_dims(np.array([ [np.pi, 0, 0], [0, np.pi, 0], [0, 0, np.pi], [np.pi / 2, 0, 0], [0, np.pi / 2, 0], [0, 0, np.pi / 2], ]), axis=-1) mats = so3op.vec2rot(test_vecs) mats_numerical = so3op.vec2rot(test_vecs, 20) vecs = so3op.rot2vec(mats) # going back and forth assert np.allclose(test_vecs, vecs) # identity, rot^T = rot^-1 assert np.allclose(np.swapaxes(mats, -2, -1), npla.inv(mats)) # numerical vs analytical assert np.allclose(mats, mats_numerical, atol=1e-6) def test_vec2jac_vec2jacinv(): test_vecs = np.random.uniform(-np.pi / 2, np.pi / 2, size=(TEST_SIZE, 3, 1)) jac = so3op.vec2jac(test_vecs) jac_numerical = so3op.vec2jac(test_vecs, 20) jacinv = so3op.vec2jacinv(test_vecs) jacinv_numerical = so3op.vec2jacinv(test_vecs, 20) # jacinv vs inverse of jac assert np.allclose(jac, npla.inv(jacinv)) # numerical vs analytical assert np.allclose(jac, jac_numerical, atol=1e-6) assert np.allclose(jacinv, jacinv_numerical, atol=1e-6) def test_vec2jac_vec2jacinv_special_cases(): test_vecs = np.expand_dims(np.array([ [np.pi, 0, 0], [0, np.pi, 0], [0, 0, np.pi], [np.pi / 2, 0, 0], [0, np.pi / 2, 0], [0, 0, np.pi / 2], ]), axis=-1) jac = so3op.vec2jac(test_vecs) jac_numerical = so3op.vec2jac(test_vecs, 20) jacinv = so3op.vec2jacinv(test_vecs) jacinv_numerical = so3op.vec2jacinv(test_vecs, 20) # jacinv vs inverse of jac assert np.allclose(jac, npla.inv(jacinv)) # numerical vs analytical assert np.allclose(jac, jac_numerical, atol=1e-6) assert np.allclose(jacinv, jacinv_numerical, atol=1e-6)
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py
Python
gym_vrep/envs/mobile_robot_navigation/__init__.py
Souphis/gym-vrep
a0c280a64baa530aa673c61903ad5e460805007f
[ "Apache-2.0" ]
17
2019-07-17T07:33:31.000Z
2022-02-24T15:21:03.000Z
gym_vrep/envs/mobile_robot_navigation/__init__.py
Souphis/gym-vrep
a0c280a64baa530aa673c61903ad5e460805007f
[ "Apache-2.0" ]
8
2018-11-18T12:04:42.000Z
2022-01-22T23:04:12.000Z
gym_vrep/envs/mobile_robot_navigation/__init__.py
Souphis/gym-vrep
a0c280a64baa530aa673c61903ad5e460805007f
[ "Apache-2.0" ]
7
2018-09-29T01:58:27.000Z
2022-02-24T15:21:05.000Z
from gym_vrep.envs.mobile_robot_navigation.mobile_robot_navigation import NavigationEnv from gym_vrep.envs.mobile_robot_navigation.mobile_robot_navigation import VisionNavigationEnv from gym_vrep.envs.mobile_robot_navigation.mobile_robot_navigation import OdomNavigationEnv from gym_vrep.envs.mobile_robot_navigation.mobile_robot_navigation import GyroNavigationEnv from gym_vrep.envs.mobile_robot_navigation.mobile_robot_navigation import DynamicNavigationEnv from gym_vrep.envs.mobile_robot_navigation.mobile_robot_navigation import DynamicVisionNavigationEnv from gym_vrep.envs.mobile_robot_navigation.navigation_algos import Ideal from gym_vrep.envs.mobile_robot_navigation.navigation_algos import Odometry from gym_vrep.envs.mobile_robot_navigation.navigation_algos import Gyrodometry from gym_vrep.envs.mobile_robot_navigation.robots.smartbot import SmartBot
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84a2fef9397c975612d2ac3cdfe7283def5e1cb4
156
py
Python
2764.py
barroslipe/urionlinejudge
a20d8199d9a92b30ea394a6c949967d2fc51aa34
[ "MIT" ]
null
null
null
2764.py
barroslipe/urionlinejudge
a20d8199d9a92b30ea394a6c949967d2fc51aa34
[ "MIT" ]
null
null
null
2764.py
barroslipe/urionlinejudge
a20d8199d9a92b30ea394a6c949967d2fc51aa34
[ "MIT" ]
null
null
null
dia, mes, ano = map(int, input().split('/')) print(f"{mes:02}/{dia:02}/{ano:02}") print(f"{ano:02}/{mes:02}/{dia:02}") print(f"{dia:02}-{mes:02}-{ano:02}")
31.2
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8
84b626130b3c4dadb85218e6c7c23e4053bd3c69
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py
Python
player-statistics/tests/test_init_player_statistics.py
OpenMatchmaking/microservice-player-statistics
2f265df73a93483c5ac6ee8ef06a8611ecfba415
[ "BSD-3-Clause" ]
4
2018-09-04T07:09:53.000Z
2021-08-13T10:04:20.000Z
player-statistics/tests/test_init_player_statistics.py
OpenMatchmaking/microservice-player-statistics
2f265df73a93483c5ac6ee8ef06a8611ecfba415
[ "BSD-3-Clause" ]
1
2019-01-01T09:40:42.000Z
2019-01-01T09:40:42.000Z
player-statistics/tests/test_init_player_statistics.py
OpenMatchmaking/microservice-player-statistics
2f265df73a93483c5ac6ee8ef06a8611ecfba415
[ "BSD-3-Clause" ]
null
null
null
import pytest from bson import ObjectId from sage_utils.amqp.clients import RpcAmqpClient from sage_utils.constants import VALIDATION_ERROR from sage_utils.wrappers import Response from app.statistics.documents import PlayerStatistic from app.workers.init_player_statistics import InitPlayerStatisticsWorker REQUEST_QUEUE = InitPlayerStatisticsWorker.QUEUE_NAME REQUEST_EXCHANGE = InitPlayerStatisticsWorker.REQUEST_EXCHANGE_NAME RESPONSE_EXCHANGE = InitPlayerStatisticsWorker.RESPONSE_EXCHANGE_NAME @pytest.mark.asyncio async def test_worker_returns_a_new_initialized_player(sanic_server): await PlayerStatistic.collection.delete_many({}) player_id = str(ObjectId()) init_data = {'player_id': player_id} client = RpcAmqpClient( sanic_server.app, routing_key=REQUEST_QUEUE, request_exchange=REQUEST_EXCHANGE, response_queue='', response_exchange=RESPONSE_EXCHANGE ) response = await client.send(payload=init_data) assert Response.EVENT_FIELD_NAME in response.keys() assert Response.CONTENT_FIELD_NAME in response.keys() content = response[Response.CONTENT_FIELD_NAME] assert len(list(content.keys())) == 6 assert set(content.keys()) == {'id', 'player_id', 'total_games', 'wins', 'loses', 'rating'} assert content['player_id'] == player_id assert content['total_games'] == 0 assert content['wins'] == 0 assert content['loses'] == 0 assert content['rating'] == 0 players_count = await PlayerStatistic.collection.count_documents({}) assert players_count == 1 await PlayerStatistic.collection.delete_many({}) @pytest.mark.asyncio async def test_worker_returns_an_reinitialized_player(sanic_server): await PlayerStatistic.collection.delete_many({}) await PlayerStatistic.collection.delete_many({}) player_id = str(ObjectId()) create_data = { 'player_id': player_id, 'total_games': 10, 'wins': 6, 'loses': 4, 'rating': 2676 } object = PlayerStatistic(**create_data) await object.commit() players_count = await PlayerStatistic.collection.count_documents({}) assert players_count == 1 init_data = {'player_id': player_id} client = RpcAmqpClient( sanic_server.app, routing_key=REQUEST_QUEUE, request_exchange=REQUEST_EXCHANGE, response_queue='', response_exchange=RESPONSE_EXCHANGE ) response = await client.send(payload=init_data) assert Response.EVENT_FIELD_NAME in response.keys() assert Response.CONTENT_FIELD_NAME in response.keys() content = response[Response.CONTENT_FIELD_NAME] assert len(list(content.keys())) == 6 assert set(content.keys()) == {'id', 'player_id', 'total_games', 'wins', 'loses', 'rating'} assert content['player_id'] == create_data['player_id'] assert content['player_id'] == player_id assert content['total_games'] != create_data['total_games'] assert content['total_games'] == 0 assert content['wins'] != create_data['wins'] assert content['wins'] == 0 assert content['loses'] != create_data['loses'] assert content['loses'] == 0 assert content['rating'] != create_data['rating'] assert content['rating'] == 0 players_count = await PlayerStatistic.collection.count_documents({}) assert players_count == 1 await PlayerStatistic.collection.delete_many({}) @pytest.mark.asyncio async def test_worker_returns_validation_for_non_specified_fields(sanic_server): await PlayerStatistic.collection.delete_many({}) client = RpcAmqpClient( sanic_server.app, routing_key=REQUEST_QUEUE, request_exchange=REQUEST_EXCHANGE, response_queue='', response_exchange=RESPONSE_EXCHANGE ) response = await client.send(payload={}) assert Response.ERROR_FIELD_NAME in response.keys() error = response[Response.ERROR_FIELD_NAME] assert Response.ERROR_TYPE_FIELD_NAME in error.keys() assert error[Response.ERROR_TYPE_FIELD_NAME] == VALIDATION_ERROR assert Response.ERROR_DETAILS_FIELD_NAME in error.keys() assert len(error[Response.ERROR_DETAILS_FIELD_NAME]) == 1 assert 'player_id' in error[Response.ERROR_DETAILS_FIELD_NAME] assert len(error[Response.ERROR_DETAILS_FIELD_NAME]['player_id']) == 1 assert error[Response.ERROR_DETAILS_FIELD_NAME]['player_id'][0] == 'Missing data for ' \ 'required field.' players_count = await PlayerStatistic.collection.count_documents({}) assert players_count == 0 await PlayerStatistic.collection.delete_many({}) @pytest.mark.asyncio async def test_worker_returns_validation_for_invalid_player_id(sanic_server): await PlayerStatistic.collection.delete_many({}) client = RpcAmqpClient( sanic_server.app, routing_key=REQUEST_QUEUE, request_exchange=REQUEST_EXCHANGE, response_queue='', response_exchange=RESPONSE_EXCHANGE ) response = await client.send(payload={'player_id': "INVALID_OBJECT_ID"}) assert Response.ERROR_FIELD_NAME in response.keys() error = response[Response.ERROR_FIELD_NAME] assert Response.ERROR_TYPE_FIELD_NAME in error.keys() assert error[Response.ERROR_TYPE_FIELD_NAME] == VALIDATION_ERROR assert Response.ERROR_DETAILS_FIELD_NAME in error.keys() assert len(error[Response.ERROR_DETAILS_FIELD_NAME]) == 1 assert 'player_id' in error[Response.ERROR_DETAILS_FIELD_NAME] assert len(error[Response.ERROR_DETAILS_FIELD_NAME]['player_id']) == 1 assert error[Response.ERROR_DETAILS_FIELD_NAME]['player_id'][0] == 'Invalid ObjectId.' players_count = await PlayerStatistic.collection.count_documents({}) assert players_count == 0 await PlayerStatistic.collection.delete_many({})
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84d93114fb14ae280370207c3d7684132284c99a
5,821
py
Python
mri_works/NodeEditor/modules/Java/MRIFileManager.py
montigno/mri_works
8ec6ff1500aa34d3540e44e4b0148023cf821f61
[ "CECILL-B" ]
2
2020-08-20T21:00:53.000Z
2021-08-16T15:28:51.000Z
mri_works/NodeEditor/modules/Java/MRIFileManager.py
montigno/mri_works
8ec6ff1500aa34d3540e44e4b0148023cf821f61
[ "CECILL-B" ]
3
2020-09-24T06:50:43.000Z
2020-12-15T11:02:04.000Z
mri_works/NodeEditor/modules/Java/MRIFileManager.py
montigno/mri_works
8ec6ff1500aa34d3540e44e4b0148023cf821f61
[ "CECILL-B" ]
1
2020-08-20T21:00:59.000Z
2020-08-20T21:00:59.000Z
class BrukerToNifti: def __init__(self, Bruker_files=['path'], naming='PatientName/StudyName/CreationDate-SeqNumber-Protocol-SequenceName-AcquisitionTime', path_export='path', bvals_bvecs=False): import os import sys from subprocess import Popen, PIPE listBruker = '' for ls in Bruker_files: listBruker += ls + ";" listBruker = listBruker[0:-1] options_export = "00000" if bvals_bvecs: options_export = "00013" command = 'java -classpath $MRIFilePATH' + \ ' BrukerToNifti \"' + listBruker + \ '\" ' + path_export + ' ' + naming + \ ' [ExportOptions]' + options_export print('Bruker : ', command) p = Popen(command, stdin=PIPE, stdout=PIPE, stderr=PIPE, shell=True) txt, error = p.communicate() rc = p.returncode txt = txt.decode("utf-8") txt = txt[txt.index("exported to ") + 12:] self.output = [] for val in txt.split("exported to "): self.output.append(val[0:val.index("\n")]) def list_files_exported(self: 'list_path'): return self.output ############################################################################################################################ class PhilipsToNifti: def __init__(self, Philips_files=['path'], naming='PatientName/StudyName/CreationDate-SeqNumber-Protocol-SequenceName-AcquisitionTime', path_export='path', bvals_bvecs=False): import os import sys from subprocess import Popen, PIPE # from NodeEditor.python.configStandalone import ConfigModuls listPhilips = '' for ls in Philips_files: if ls[-1] !='/': ls +='/' listPhilips += ls + ";" listPhilips = listPhilips[0:-1] options_export = "00000" if bvals_bvecs: options_export = "00013" command = 'java -classpath $MRIFilePATH' + \ ' PhilipsToNifti \"' + listPhilips + \ '\" ' + path_export + ' ' + naming + \ ' [ExportOptions]' + options_export print('Philips : ', command) p = Popen(command, stdin=PIPE, stdout=PIPE, stderr=PIPE, shell=True) txt, error = p.communicate() rc = p.returncode txt = txt.decode("utf-8") txt = txt[txt.index("exported to ") + 12:] self.output = [] for val in txt.split("exported to "): self.output.append(val[0:val.index("\n")]) def list_files_exported(self: 'list_path'): return self.output ############################################################################################################################ class BidsToNifti: def __init__(self, Bids_dir=['path'], naming='PatientName/StudyName/CreationDate-SeqNumber-Protocol-SequenceName-AcquisitionTime', path_export='path', bvals_bvecs=False): import os import sys from subprocess import Popen, PIPE # from NodeEditor.python.configStandalone import ConfigModuls listBids = '' for ls in Bids_dir: listBids += ls + ";" listBids = listBids[0:-1] options_export = "00000" if bvals_bvecs: options_export = "00013" # command = 'java -classpath ' + ConfigModuls().getPathConfig('MRIFileManager') + \ command = 'java -classpath $MRIFilePATH' + \ ' BidsToNifti \"' + listBids + \ '\" ' + path_export + ' ' + naming + \ ' [ExportOptions]' + options_export print('BIDS : ', command) p = Popen(command, stdin=PIPE, stdout=PIPE, stderr=PIPE, shell=True) txt, error = p.communicate() rc = p.returncode txt = txt.decode("utf-8") txt = txt[txt.index("exported to ") + 12:] self.output = [] for val in txt.split("exported to "): self.output.append(val[0:val.index("\n")]) def list_files_exported(self: 'list_path'): return self.output ############################################################################################################################ class DicomToNifti: def __init__(self, Dicom_dir=['path'], naming='PatientName/StudyName/CreationDate-SeqNumber-Protocol-SequenceName-AcquisitionTime', path_export='path', bvals_bvecs=False): import os import sys from subprocess import Popen, PIPE # from NodeEditor.python.configStandalone import ConfigModuls listDicom = '' for ls in Dicom_dir: listDicom += ls + ";" listDicom = listDicom[0:-1] options_export = "00000" if bvals_bvecs: options_export = "00013" # command = 'java -classpath ' + ConfigModuls().getPathConfig('MRIFileManager') + \ command = 'java -classpath $MRIFilePATH' + \ ' DicomToNifti \"' + listDicom + \ '\" ' + path_export + ' ' + naming + \ ' [ExportOptions]' + options_export print('Dicom : ', command) p = Popen(command, stdin=PIPE, stdout=PIPE, stderr=PIPE, shell=True) txt, error = p.communicate() rc = p.returncode txt = txt.decode("utf-8") txt = txt[txt.index("exported to ") + 12:] self.output = [] for val in txt.split("exported to "): self.output.append(val[0:val.index("\n")]) def list_files_exported(self: 'list_path'): return self.output
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7
84dcf081529c49f7c87cf7c3d84b6d29ebbb0260
1,893
py
Python
configs/ssd.py
fortoon21/detecthangul
d59cfc64fe658022040f949b836c9e7fa00d3ecd
[ "MIT" ]
null
null
null
configs/ssd.py
fortoon21/detecthangul
d59cfc64fe658022040f949b836c9e7fa00d3ecd
[ "MIT" ]
null
null
null
configs/ssd.py
fortoon21/detecthangul
d59cfc64fe658022040f949b836c9e7fa00d3ecd
[ "MIT" ]
null
null
null
def ssd300_config(args): args.add_argument('--steps', type=str, default=(8, 16, 32, 64, 100, 300)) args.add_argument('--box_sizes', type=str, default=(30, 60, 111, 162, 213, 264, 315)) args.add_argument('--aspect_ratios', type=str, default=((2,), (2, 3), (2, 3), (2, 3), (2,), (2,))) args.add_argument('--fm_sizes', type=str, default=(38, 19, 10, 5, 3, 1)) args.add_argument('--img_size', type=int, default=300) args.add_argument('--use_pretrained', type=bool, default=True) args.add_argument('--lr', type=float, default=1e-3) args.add_argument('--momentum', type=float, default=0.9) args.add_argument('--weight_decay', type=float, default=1e-4) args.add_argument('--lr_steps', type=str, default=[190, 250]) args.add_argument('--lr_decay_rate', type=float, default=0.1) args.add_argument('--accum_grad', type=int, default=2) # fddb settings args.add_argument('--fold', type=int, default=9) opt = args.parse_args() return opt def ssd512_config(args): args.add_argument('--steps', type=str, default=(8, 16, 32, 64, 128, 256, 512)) args.add_argument('--box_sizes', type=str, default=(35.84, 76.8, 153.6, 230.4, 307.2, 384.0, 460.8, 537.6)) args.add_argument('--aspect_ratios', type=str, default=((2,), (2, 3), (2, 3), (2, 3), (2, 3), (2,), (2,))) args.add_argument('--fm_sizes', type=str, default=(64, 32, 16, 8, 4, 2, 1)) args.add_argument('--img_size', type=int, default=512) args.add_argument('--lr', type=float, default=1e-3) args.add_argument('--momentum', type=float, default=0.9) args.add_argument('--weight_decay', type=float, default=1e-4) args.add_argument('--lr_steps', type=str, default=[60, 120, 180]) args.add_argument('--lr_decay_rate', type=float, default=0.1) args.add_argument('--accum_grad', type=int, default=2) opt = args.parse_args() return opt
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0
7
ca2fe56e953bba7ff076cfab6c1b452f4b3511fe
70,622
py
Python
src/char_classification/resnet.py
statsu1990/kuzushiji-recognition
7f9c40fbf766a97e89f53a54c27008e440a3cc04
[ "MIT" ]
3
2019-10-25T05:27:03.000Z
2019-12-23T04:32:05.000Z
src/char_classification/resnet.py
aihill/kuzushiji-recognition
3b677c086a915691c02fa4e655ce1def9b0326a7
[ "MIT" ]
null
null
null
src/char_classification/resnet.py
aihill/kuzushiji-recognition
3b677c086a915691c02fa4e655ce1def9b0326a7
[ "MIT" ]
3
2019-10-24T13:05:16.000Z
2020-03-02T12:49:15.000Z
from __future__ import print_function import keras from keras.layers import Dense, Conv2D, BatchNormalization, Activation, LeakyReLU from keras.layers import AveragePooling2D, GlobalAveragePooling2D, Input, Flatten, Add, Concatenate, Flatten from keras.optimizers import Adam from keras.callbacks import ModelCheckpoint, CSVLogger, LearningRateScheduler from keras.callbacks import ReduceLROnPlateau from keras.preprocessing.image import ImageDataGenerator from keras.regularizers import l2 from keras import backend as K from keras.models import Model from keras.models import load_model from keras.utils import plot_model import tensorflow as tf import numpy as np import os from char_classification import data_operator from kuzushiji_data import visualization as visu class ResNet20: """ https://keras.io/examples/cifar10_resnet/ """ def __init__(self, image_shape, num_class): # gray : (h, w, 1) self.IMAGE_SHAPE = image_shape self.NUM_CLASS = num_class return def build_model(self): self.model = self.resnet_v2(input_shape=self.IMAGE_SHAPE, depth=20, num_classes=self.NUM_CLASS) return def train_model(self, train_image, train_class, val_image, val_class, learning_rate, epochs, batch_size): # model compile self.model.compile(loss='categorical_crossentropy', optimizer=Adam(lr=learning_rate), metrics=['accuracy']) self.model.summary() # learning rate self.LEARNING_RATE = learning_rate lr_scheduler = LearningRateScheduler(self.lr_schedule) lr_reducer = ReduceLROnPlateau(factor=np.sqrt(0.1), cooldown=0, patience=5, min_lr=0.5e-6) callbacks = [lr_reducer, lr_scheduler] # This will do preprocessing and realtime data augmentation: datagen = ImageDataGenerator( # set input mean to 0 over the dataset featurewise_center=False, # set each sample mean to 0 samplewise_center=False, # divide inputs by std of dataset featurewise_std_normalization=False, # divide each input by its std samplewise_std_normalization=False, # apply ZCA whitening zca_whitening=False, # epsilon for ZCA whitening zca_epsilon=1e-06, # randomly rotate images in the range (deg 0 to 180) rotation_range=0, # randomly shift images horizontally width_shift_range=0.1, # randomly shift images vertically height_shift_range=0.1, # set range for random shear shear_range=0., # set range for random zoom zoom_range=0.2, # set range for random channel shifts channel_shift_range=0., # set mode for filling points outside the input boundaries fill_mode='nearest', # value used for fill_mode = "constant" cval=0., # randomly flip images horizontal_flip=False, # randomly flip images vertical_flip=False, # set rescaling factor (applied before any other transformation) rescale=None, # set function that will be applied on each input preprocessing_function=None, # image data format, either "channels_first" or "channels_last" data_format=None, # fraction of images reserved for validation (strictly between 0 and 1) validation_split=0.0) # Fit the model on the batches generated by datagen.flow(). self.model.fit_generator(datagen.flow(train_image, train_class, batch_size=batch_size), validation_data=(val_image, val_class), epochs=epochs, steps_per_epoch=len(train_image)/batch_size, callbacks=callbacks) return def lr_schedule(self, epoch): """Learning Rate Schedule Learning rate is scheduled to be reduced after 80, 120, 160, 180 epochs. Called automatically every epoch as part of callbacks during training. # Arguments epoch (int): The number of epochs # Returns lr (float32): learning rate """ lr = self.LEARNING_RATE if epoch > 180: lr *= 0.5e-3 elif epoch > 160: lr *= 1e-3 elif epoch > 120: lr *= 1e-2 elif epoch > 80: lr *= 1e-1 return lr def resnet_layer(self, inputs, num_filters=16, kernel_size=3, strides=1, activation='relu', batch_normalization=True, conv_first=True): """2D Convolution-Batch Normalization-Activation stack builder # Arguments inputs (tensor): input tensor from input image or previous layer num_filters (int): Conv2D number of filters kernel_size (int): Conv2D square kernel dimensions strides (int): Conv2D square stride dimensions activation (string): activation name batch_normalization (bool): whether to include batch normalization conv_first (bool): conv-bn-activation (True) or bn-activation-conv (False) # Returns x (tensor): tensor as input to the next layer """ conv = Conv2D(num_filters, kernel_size=kernel_size, strides=strides, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4)) x = inputs if conv_first: x = conv(x) if batch_normalization: x = BatchNormalization()(x) if activation is not None: x = Activation(activation)(x) else: if batch_normalization: x = BatchNormalization()(x) if activation is not None: x = Activation(activation)(x) x = conv(x) return x def resnet_v2(self, input_shape, depth, num_classes): """ResNet Version 2 Model builder [b] Stacks of (1 x 1)-(3 x 3)-(1 x 1) BN-ReLU-Conv2D or also known as bottleneck layer First shortcut connection per layer is 1 x 1 Conv2D. Second and onwards shortcut connection is identity. At the beginning of each stage, the feature map size is halved (downsampled) by a convolutional layer with strides=2, while the number of filter maps is doubled. Within each stage, the layers have the same number filters and the same filter map sizes. Features maps sizes: conv1 : 32x32, 16 stage 0: 32x32, 64 stage 1: 16x16, 128 stage 2: 8x8, 256 # Arguments input_shape (tensor): shape of input image tensor depth (int): number of core convolutional layers num_classes (int): number of classes (CIFAR10 has 10) # Returns model (Model): Keras model instance """ if (depth - 2) % 9 != 0: raise ValueError('depth should be 9n+2 (eg 56 or 110 in [b])') # Start model definition. num_filters_in = 16 num_res_blocks = int((depth - 2) / 9) inputs = Input(shape=input_shape) # v2 performs Conv2D with BN-ReLU on input before splitting into 2 paths x = self.resnet_layer(inputs=inputs, num_filters=num_filters_in, conv_first=True) # Instantiate the stack of residual units for stage in range(3): for res_block in range(num_res_blocks): activation = 'relu' batch_normalization = True strides = 1 if stage == 0: num_filters_out = num_filters_in * 4 if res_block == 0: # first layer and first stage activation = None batch_normalization = False else: num_filters_out = num_filters_in * 2 if res_block == 0: # first layer but not first stage strides = 2 # downsample # bottleneck residual unit y = self.resnet_layer(inputs=x, num_filters=num_filters_in, kernel_size=1, strides=strides, activation=activation, batch_normalization=batch_normalization, conv_first=False) y = self.resnet_layer(inputs=y, num_filters=num_filters_in, conv_first=False) y = self.resnet_layer(inputs=y, num_filters=num_filters_out, kernel_size=1, conv_first=False) if res_block == 0: # linear projection residual shortcut connection to match # changed dims x = self.resnet_layer(inputs=x, num_filters=num_filters_out, kernel_size=1, strides=strides, activation=None, batch_normalization=False) x = keras.layers.add([x, y]) num_filters_in = num_filters_out # Add classifier on top. # v2 has BN-ReLU before Pooling x = BatchNormalization()(x) x = Activation('relu')(x) x = AveragePooling2D(pool_size=8)(x) y = Flatten()(x) outputs = Dense(num_classes, activation='softmax', kernel_initializer='he_normal')(y) # Instantiate model. model = Model(inputs=inputs, outputs=outputs) return model def save_model(self, save_file, only_model_plot=False): """ save model """ # make dir save_dir = os.path.dirname(save_file) if not os.path.isdir(save_dir): os.makedirs(save_dir) # visualize plot_model(self.model, to_file=os.path.join(save_dir, 'model_structure.png'), show_shapes=True, show_layer_names=False) if not only_model_plot: # save model self.model.save(save_file) print('Saved trained model at %s ' % save_file) return def load_model(self, model_file): """ load model .h5 file """ self.model = load_model(model_file) return def predict(self, images): oups = self.model.predict(images) oup_numbers = np.argmax(oups, axis=1) return oup_numbers def predict_tta(self, images, aug_num, rotation_range=0, width_shift_range=0.1, height_shift_range=0.1, zoom_range=0.2, horizontal_flip=False, vertical_flip=False,): """ test time augmentation http://ultraist.hatenablog.com/entry/2015/03/20/121031 """ if aug_num < 1: oup_numbers = self.predict(images) else: datagen = ImageDataGenerator( # set input mean to 0 over the dataset featurewise_center=False, # set each sample mean to 0 samplewise_center=False, # divide inputs by std of dataset featurewise_std_normalization=False, # divide each input by its std samplewise_std_normalization=False, # apply ZCA whitening zca_whitening=False, # epsilon for ZCA whitening zca_epsilon=1e-06, # randomly rotate images in the range (deg 0 to 180) rotation_range=rotation_range, # randomly shift images horizontally width_shift_range=width_shift_range, # randomly shift images vertically height_shift_range=height_shift_range, # set range for random shear shear_range=0., # set range for random zoom zoom_range=zoom_range, # set range for random channel shifts channel_shift_range=0., # set mode for filling points outside the input boundaries fill_mode='nearest', # value used for fill_mode = "constant" cval=0., # randomly flip images horizontal_flip=horizontal_flip, # randomly flip images vertical_flip=vertical_flip, # set rescaling factor (applied before any other transformation) rescale=None, # set function that will be applied on each input preprocessing_function=None, # image data format, either "channels_first" or "channels_last" data_format=None, # fraction of images reserved for validation (strictly between 0 and 1) validation_split=0.0) # batch size. data num is 1 or not. batch_size = len(images) if len(images.shape) == 4 else 1 gen = datagen.flow(images, batch_size=batch_size, shuffle=False) # tta oups = self.model.predict(images) for i in range(aug_num): aug_images = next(gen) aug_oups = self.model.predict(aug_images) oups = oups + aug_oups oups = oups / (aug_num + 1) # output number oup_numbers = np.argmax(oups, axis=1) return oup_numbers def predict_tta2(self, images, tta_func): """ Args: tta_func: tta_func(images): return augmented images set. image set is [aug image1, ..., aug imageN]. """ auged_imgs_set = tta_func(images) aug_num = len(auged_imgs_set) for iaug, auged_imgs in enumerate(auged_imgs_set): if iaug == 0: oups = self.model.predict(auged_imgs) else: oups = oups + self.model.predict(auged_imgs) oups = oups / aug_num # output number oup_numbers = np.argmax(oups, axis=1) return oup_numbers class ResNet: """ https://keras.io/examples/cifar10_resnet/ """ def __init__(self, image_shape, num_class, resnet_version): # gray : (h, w, 1) self.IMAGE_SHAPE = image_shape self.NUM_CLASS = num_class self.RESNET_VERSION = resnet_version return def build_model(self): if self.RESNET_VERSION == 'ver1': self.model = self.resnet_ver1(input_shape=self.IMAGE_SHAPE, num_classes=self.NUM_CLASS) elif self.RESNET_VERSION == 'ver2': self.model = self.resnet_ver2(input_shape=self.IMAGE_SHAPE, num_classes=self.NUM_CLASS) return def train_model(self, train_x, train_y, val_x, val_y, learning_rate, epochs, batch_size, save_file=None, csv_file=None): # model compile self.model.compile(loss='categorical_crossentropy', optimizer=Adam(lr=learning_rate), metrics=['accuracy']) self.model.summary() # call back callbacks = [] # learning rate self.LEARNING_RATE = learning_rate lr_scheduler = LearningRateScheduler(self.lr_schedule) #lr_reducer = ReduceLROnPlateau(factor=np.sqrt(0.1), # cooldown=0, # patience=5, # min_lr=0.5e-6) #callbacks = [lr_reducer, lr_scheduler] callbacks.append(lr_scheduler) # save model if save_file is not None: checkpoint = ModelCheckpoint(filepath=save_file, monitor='val_acc', verbose=1, save_best_only=True) callbacks.append(checkpoint) # save csv if csv_file is not None: csvlogger = CSVLogger(csv_file) callbacks.append(csvlogger) # This will do preprocessing and realtime data augmentation: datagen = ImageDataGenerator( # set input mean to 0 over the dataset featurewise_center=False, # set each sample mean to 0 samplewise_center=False, # divide inputs by std of dataset featurewise_std_normalization=False, # divide each input by its std samplewise_std_normalization=False, # apply ZCA whitening zca_whitening=False, # epsilon for ZCA whitening zca_epsilon=1e-06, # randomly rotate images in the range (deg 0 to 180) rotation_range=0, # randomly shift images horizontally width_shift_range=0.1, # randomly shift images vertically height_shift_range=0.1, # set range for random shear shear_range=0., # set range for random zoom zoom_range=0.2, # set range for random channel shifts channel_shift_range=0., # set mode for filling points outside the input boundaries fill_mode='nearest', # value used for fill_mode = "constant" cval=0., # randomly flip images horizontal_flip=False, # randomly flip images vertical_flip=False, # set rescaling factor (applied before any other transformation) rescale=None, # set function that will be applied on each input preprocessing_function=None, # image data format, either "channels_first" or "channels_last" data_format=None, # fraction of images reserved for validation (strictly between 0 and 1) validation_split=0.0) # Fit the model on the batches generated by datagen.flow(). self.model.fit_generator(datagen.flow(train_x, train_y, batch_size=batch_size), validation_data=(val_x, val_y), epochs=epochs, steps_per_epoch=len(train_x)/batch_size, callbacks=callbacks) return def lr_schedule(self, epoch): """Learning Rate Schedule Learning rate is scheduled to be reduced after 80, 120, 160, 180 epochs. Called automatically every epoch as part of callbacks during training. # Arguments epoch (int): The number of epochs # Returns lr (float32): learning rate """ lr = self.LEARNING_RATE if epoch > 180: lr *= 0.5e-3 elif epoch > 160: lr *= 1e-3 elif epoch > 120: lr *= 1e-2 elif epoch > 80: lr *= 1e-1 return lr def resnet_layer(self, inputs, num_filters=16, kernel_size=3, strides=1, activation='relu', batch_normalization=True, conv_first=True): """2D Convolution-Batch Normalization-Activation stack builder # Arguments inputs (tensor): input tensor from input image or previous layer num_filters (int): Conv2D number of filters kernel_size (int): Conv2D square kernel dimensions strides (int): Conv2D square stride dimensions activation (string): activation name batch_normalization (bool): whether to include batch normalization conv_first (bool): conv-bn-activation (True) or bn-activation-conv (False) # Returns x (tensor): tensor as input to the next layer """ conv = Conv2D(num_filters, kernel_size=kernel_size, strides=strides, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4)) x = inputs if conv_first: x = conv(x) if batch_normalization: x = BatchNormalization()(x) if activation is not None: x = Activation(activation)(x) else: if batch_normalization: x = BatchNormalization()(x) if activation is not None: x = Activation(activation)(x) x = conv(x) return x def resblock_ver1(self, input, num_block, num_filters, kernel_size, first_block_stride): """ architecture: inp -> (conv -> bn -> relu), [kernel_size*kernel_size, num_filters], stride=first_block_stride -> (conv -> bn -> relu) [kernel_size*kernel_size, num_filters], stride=1 -> ... -> (conv -> bn) [kernel_size*kernel_size, num_filters], stride=1 -> oup """ x = input for iblock in range(num_block): # set stride if iblock == 0: stride = first_block_stride else: stride = 1 # set activation if iblock != num_block - 1: activation = 'relu' else: activation = None # resnet layer x = self.resnet_layer(inputs=x, num_filters=num_filters, kernel_size=kernel_size, strides=stride, activation=activation, batch_normalization=True, conv_first=True) return x def resblock_ver2(self, input, num_block, num_filters, kernel_size, first_block_stride): """ architecture: inp -> (conv -> bn -> relu), [kernel_size*kernel_size, num_filters], stride=first_block_stride -> (conv -> bn -> relu) [kernel_size*kernel_size, num_filters], stride=1 -> ... -> (conv -> bn) [kernel_size*kernel_size, num_filters], stride=1 -> oup """ x = input for iblock in range(num_block): # set stride if iblock == 0: stride = first_block_stride else: stride = 1 # set activation if iblock != num_block - 1: activation = 'relu' else: activation = 'relu' # resnet layer x = self.resnet_layer(inputs=x, num_filters=num_filters, kernel_size=kernel_size, strides=stride, activation=activation, batch_normalization=True, conv_first=True) return x def shortcut(self, x, residual): ''' http://pynote.hatenablog.com/entry/keras-resnet-implementation shortcut connection を作成する。 ''' x_shape = K.int_shape(x) residual_shape = K.int_shape(residual) if x_shape == residual_shape: # x と residual の形状が同じ場合、なにもしない。 shortcut = x else: # x と residual の形状が異なる場合、線形変換を行い、形状を一致させる。 stride_w = int(round(x_shape[1] / residual_shape[1])) stride_h = int(round(x_shape[2] / residual_shape[2])) shortcut = Conv2D(filters=residual_shape[3], kernel_size=(1, 1), strides=(stride_w, stride_h), kernel_initializer='he_normal', kernel_regularizer=l2(1.e-4))(x) return Add()([shortcut, residual]) def resnet_ver1(self, input_shape, num_classes): FIRST_NUM_FILTER = 32 FRIST_STRIDE = 2 NUM_RES_BLOCK = [2, 2, 2] FIRST_BLOCK_STRIDES = [2, 2, 2] NUM_FILTERS = [FIRST_NUM_FILTER*2, FIRST_NUM_FILTER*4, FIRST_NUM_FILTER*8] # input image_inputs = Input(shape=input_shape) # first layer x = self.resnet_layer(inputs=image_inputs, num_filters=FIRST_NUM_FILTER, kernel_size=FRIST_STRIDE, strides=1, activation='relu', batch_normalization=True, conv_first=True) # stacked layer for istack in range(len(NUM_RES_BLOCK)): # res block y = self.resblock_ver1(input=x, num_block=NUM_RES_BLOCK[istack], num_filters=NUM_FILTERS[istack], kernel_size=3, first_block_stride=FIRST_BLOCK_STRIDES[istack]) # shortcut x = self.shortcut(x, y) # to last layer x = BatchNormalization()(x) x = Activation('relu')(x) x = GlobalAveragePooling2D()(x) # classification outputs = Dense(num_classes, activation='softmax', kernel_initializer='he_normal')(x) # Instantiate model. model = Model(inputs=image_inputs, outputs=outputs) return model def resnet_ver2(self, input_shape, num_classes): FIRST_NUM_FILTER = 48 FRIST_STRIDE = 2 NUM_RES_BLOCK = [2, 2, 2] FIRST_BLOCK_STRIDES = [2, 2, 2] NUM_FILTERS = [FIRST_NUM_FILTER*2, FIRST_NUM_FILTER*4, FIRST_NUM_FILTER*8] # input image_inputs = Input(shape=input_shape) # first layer x = self.resnet_layer(inputs=image_inputs, num_filters=FIRST_NUM_FILTER, kernel_size=3, strides=FRIST_STRIDE, activation='relu', batch_normalization=True, conv_first=True) # stacked layer for istack in range(len(NUM_RES_BLOCK)): # res block y = self.resblock_ver1(input=x, num_block=NUM_RES_BLOCK[istack], num_filters=NUM_FILTERS[istack], kernel_size=3, first_block_stride=FIRST_BLOCK_STRIDES[istack]) # shortcut x = self.shortcut(x, y) # to last layer x = BatchNormalization()(x) x = Activation('relu')(x) x = GlobalAveragePooling2D()(x) # classification outputs = Dense(num_classes, activation='softmax', kernel_initializer='he_normal')(x) # Instantiate model. model = Model(inputs=image_inputs, outputs=outputs) return model def save_model(self, save_file, only_model_plot=False): """ save model """ # make dir save_dir = os.path.dirname(save_file) if not os.path.isdir(save_dir): os.makedirs(save_dir) # visualize plot_model(self.model, to_file=os.path.join(save_dir, 'model_structure.png'), show_shapes=True, show_layer_names=False) if not only_model_plot: # save model self.model.save(save_file) print('Saved trained model at %s ' % save_file) return def load_model(self, model_file): """ load model .h5 file """ self.model = load_model(model_file) return def predict(self, images): oups = self.model.predict(images) oup_numbers = np.argmax(oups, axis=1) return oup_numbers def predict_tta(self, images, aug_num, rotation_range=0, width_shift_range=0.1, height_shift_range=0.1, zoom_range=0.2, horizontal_flip=False, vertical_flip=False,): """ test time augmentation http://ultraist.hatenablog.com/entry/2015/03/20/121031 """ if aug_num < 1: oup_numbers = self.predict(images) else: datagen = ImageDataGenerator( # set input mean to 0 over the dataset featurewise_center=False, # set each sample mean to 0 samplewise_center=False, # divide inputs by std of dataset featurewise_std_normalization=False, # divide each input by its std samplewise_std_normalization=False, # apply ZCA whitening zca_whitening=False, # epsilon for ZCA whitening zca_epsilon=1e-06, # randomly rotate images in the range (deg 0 to 180) rotation_range=rotation_range, # randomly shift images horizontally width_shift_range=width_shift_range, # randomly shift images vertically height_shift_range=height_shift_range, # set range for random shear shear_range=0., # set range for random zoom zoom_range=zoom_range, # set range for random channel shifts channel_shift_range=0., # set mode for filling points outside the input boundaries fill_mode='nearest', # value used for fill_mode = "constant" cval=0., # randomly flip images horizontal_flip=horizontal_flip, # randomly flip images vertical_flip=vertical_flip, # set rescaling factor (applied before any other transformation) rescale=None, # set function that will be applied on each input preprocessing_function=None, # image data format, either "channels_first" or "channels_last" data_format=None, # fraction of images reserved for validation (strictly between 0 and 1) validation_split=0.0) # batch size. data num is 1 or not. batch_size = len(images) if len(images.shape) == 4 else 1 gen = datagen.flow(images, batch_size=batch_size, shuffle=False) # tta oups = self.model.predict(images) for i in range(aug_num): aug_images = next(gen) aug_oups = self.model.predict(aug_images) oups = oups + aug_oups oups = oups / (aug_num + 1) # output number oup_numbers = np.argmax(oups, axis=1) return oup_numbers def predict_tta2(self, images, tta_func): """ Args: tta_func: tta_func(images): return augmented images set. image set is [aug image1, ..., aug imageN]. """ auged_imgs_set = tta_func(images) aug_num = len(auged_imgs_set) for iaug, auged_imgs in enumerate(auged_imgs_set): if iaug == 0: oups = self.model.predict(auged_imgs) else: oups = oups + self.model.predict(auged_imgs) oups = oups / aug_num # output number oup_numbers = np.argmax(oups, axis=1) return oup_numbers class ResNet_with_otherinput: """ https://keras.io/examples/cifar10_resnet/ """ def __init__(self, image_shape, num_class, resnet_version, other_input_shape): # gray : (h, w, 1) self.IMAGE_SHAPE = image_shape self.NUM_CLASS = num_class self.RESNET_VERSION = resnet_version self.OTHER_INPUT_SHAPE = other_input_shape self.train_hist = None return def build_model(self): if self.RESNET_VERSION == 'ver1': self.model = self.resnet_ver1(input_shape=self.IMAGE_SHAPE, other_input_shape=self.OTHER_INPUT_SHAPE, num_classes=self.NUM_CLASS) return def train_model(self, train_x, train_y, val_x, val_y, learning_rate, epochs, batch_size, save_file=None, csv_file=None): # model compile self.model.compile(loss='categorical_crossentropy', optimizer=Adam(lr=learning_rate), metrics=['accuracy']) self.model.summary() # call back callbacks = [] # learning rate self.LEARNING_RATE = learning_rate lr_scheduler = LearningRateScheduler(self.lr_schedule) #lr_reducer = ReduceLROnPlateau(factor=np.sqrt(0.1), # cooldown=0, # patience=5, # min_lr=0.5e-6) #callbacks = [lr_reducer, lr_scheduler] callbacks.append(lr_scheduler) # save model if save_file is not None: checkpoint = ModelCheckpoint(filepath=save_file, monitor='val_acc', verbose=1, save_best_only=True) callbacks.append(checkpoint) # save csv if csv_file is not None: csvlogger = CSVLogger(csv_file) callbacks.append(csvlogger) # This will do preprocessing and realtime data augmentation: image_gen_args = { # set input mean to 0 over the dataset "featurewise_center":False, # set each sample mean to 0 "samplewise_center":False, # divide inputs by std of dataset "featurewise_std_normalization":False, # divide each input by its std "samplewise_std_normalization":False, # apply ZCA whitening "zca_whitening":False, # epsilon for ZCA whitening "zca_epsilon":1e-06, # randomly rotate images in the range (deg 0 to 180) "rotation_range":0, # randomly shift images horizontally "width_shift_range":0.1, # randomly shift images vertically "height_shift_range":0.1, # set range for random shear "shear_range":0., # set range for random zoom "zoom_range":0.2, # set range for random channel shifts "channel_shift_range":0., # set mode for filling points outside the input boundaries "fill_mode":'nearest', # value used for fill_mode : "constant" "cval":0., # randomly flip images "horizontal_flip":False, # randomly flip images "vertical_flip":False, # set rescaling factor (applied before any other transformation) "rescale":None, # set function that will be applied on each input "preprocessing_function":None, # image data format, either "channels_first" or "channels_last" "data_format":None, # fraction of images reserved for validation (strictly between 0 and 1) "validation_split":0.0} datagen = data_operator.ImageDataGeneratorWithOtherInputs( images=train_x[0], other_inputs=train_x[1], y=train_y, batch_size=batch_size, image_generator_args=image_gen_args) # Fit the model on the batches generated by datagen.flow(). self.train_hist = self.model.fit_generator(datagen, validation_data=(val_x, val_y), epochs=epochs, steps_per_epoch=len(train_x[0])/batch_size, callbacks=callbacks, ) return def lr_schedule(self, epoch): """Learning Rate Schedule Learning rate is scheduled to be reduced after 80, 120, 160, 180 epochs. Called automatically every epoch as part of callbacks during training. # Arguments epoch (int): The number of epochs # Returns lr (float32): learning rate """ lr = self.LEARNING_RATE if epoch > 180: lr *= 0.5e-3 elif epoch > 160: lr *= 1e-3 elif epoch > 120: lr *= 1e-2 elif epoch > 80: lr *= 1e-1 return lr def resnet_layer(self, inputs, num_filters=16, kernel_size=3, strides=1, activation='relu', batch_normalization=True, conv_first=True): """2D Convolution-Batch Normalization-Activation stack builder # Arguments inputs (tensor): input tensor from input image or previous layer num_filters (int): Conv2D number of filters kernel_size (int): Conv2D square kernel dimensions strides (int): Conv2D square stride dimensions activation (string): activation name batch_normalization (bool): whether to include batch normalization conv_first (bool): conv-bn-activation (True) or bn-activation-conv (False) # Returns x (tensor): tensor as input to the next layer """ conv = Conv2D(num_filters, kernel_size=kernel_size, strides=strides, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4)) x = inputs if conv_first: x = conv(x) if batch_normalization: x = BatchNormalization()(x) if activation is not None: x = Activation(activation)(x) else: if batch_normalization: x = BatchNormalization()(x) if activation is not None: x = Activation(activation)(x) x = conv(x) return x def resblock_ver1(self, input, num_block, num_filters, kernel_size, first_block_stride): """ architecture: inp -> (conv -> bn -> relu), [kernel_size*kernel_size, num_filters], stride=first_block_stride -> (conv -> bn -> relu) [kernel_size*kernel_size, num_filters], stride=1 -> ... -> (conv -> bn) [kernel_size*kernel_size, num_filters], stride=1 -> oup """ x = input for iblock in range(num_block): # set stride if iblock == 0: stride = first_block_stride else: stride = 1 # set activation if iblock != num_block - 1: activation = 'relu' else: activation = None # resnet layer x = self.resnet_layer(inputs=x, num_filters=num_filters, kernel_size=kernel_size, strides=stride, activation=activation, batch_normalization=True, conv_first=True) return x def shortcut(self, x, residual): ''' http://pynote.hatenablog.com/entry/keras-resnet-implementation shortcut connection を作成する。 ''' x_shape = K.int_shape(x) residual_shape = K.int_shape(residual) if x_shape == residual_shape: # x と residual の形状が同じ場合、なにもしない。 shortcut = x else: # x と residual の形状が異なる場合、線形変換を行い、形状を一致させる。 stride_w = int(round(x_shape[1] / residual_shape[1])) stride_h = int(round(x_shape[2] / residual_shape[2])) shortcut = Conv2D(filters=residual_shape[3], kernel_size=(1, 1), strides=(stride_w, stride_h), kernel_initializer='he_normal', kernel_regularizer=l2(1.e-4))(x) return Add()([shortcut, residual]) def resnet_ver1(self, input_shape, other_input_shape, num_classes): FIRST_NUM_FILTER = 48 FRIST_STRIDE = 2 NUM_RES_BLOCK = [2, 2, 2] FIRST_BLOCK_STRIDES = [2, 2, 2] NUM_FILTERS = [FIRST_NUM_FILTER*2, FIRST_NUM_FILTER*4, FIRST_NUM_FILTER*8] # input image_inputs = Input(shape=input_shape) # first layer x = self.resnet_layer(inputs=image_inputs, num_filters=FIRST_NUM_FILTER, kernel_size=3, strides=FRIST_STRIDE, activation='relu', batch_normalization=True, conv_first=True) # stacked layer for istack in range(len(NUM_RES_BLOCK)): # res block y = self.resblock_ver1(input=x, num_block=NUM_RES_BLOCK[istack], num_filters=NUM_FILTERS[istack], kernel_size=3, first_block_stride=FIRST_BLOCK_STRIDES[istack]) # shortcut x = self.shortcut(x, y) # to last layer x = BatchNormalization()(x) x = Activation('relu')(x) x = GlobalAveragePooling2D()(x) x_shape = K.int_shape(x) # other inputs other_inputs = Input(shape=other_input_shape) z = other_inputs z = BatchNormalization()(z) #z = Flatten()(z) z_shape = K.int_shape(z) # concatenate x = Concatenate()([x, z]) # fully conection #x = Dense(x_shape[1] + z_shape[1], # activation='linear', # kernel_initializer='he_normal')(x) #x = BatchNormalization()(x) #x = Activation('relu')(x) #x = LeakyReLU()(x) # classification outputs = Dense(num_classes, activation='softmax', kernel_initializer='he_normal')(x) # Instantiate model. model = Model(inputs=[image_inputs, other_inputs], outputs=outputs) return model def save_model(self, save_file, only_model_plot=False): """ save model """ # make dir save_dir = os.path.dirname(save_file) if not os.path.isdir(save_dir): os.makedirs(save_dir) # visualize plot_model(self.model, to_file=os.path.join(save_dir, 'model_structure.png'), show_shapes=True, show_layer_names=False) if not only_model_plot: # save model self.model.save(save_file) print('Saved trained model at %s ' % save_file) return def load_model(self, model_file): """ load model .h5 file """ self.model = load_model(model_file) return def predict(self, images): oups = self.model.predict(images) oup_numbers = np.argmax(oups, axis=1) return oup_numbers def predict_tta2(self, images, other_inputs, tta_func): """ Args: tta_func: tta_func(images): return augmented images set. image set is [aug image1, ..., aug imageN]. """ auged_imgs_set = tta_func(images) aug_num = len(auged_imgs_set) for iaug, auged_imgs in enumerate(auged_imgs_set): if iaug == 0: oups = self.model.predict([auged_imgs, other_inputs]) else: oups = oups + self.model.predict([auged_imgs, other_inputs]) oups = oups / aug_num # output number oup_numbers = np.argmax(oups, axis=1) return oup_numbers class MyResNet: """ https://arxiv.org/abs/1512.03385 https://keras.io/examples/cifar10_resnet/ """ def __init__(self, image_shape, num_class, resnet_version, other_input_shape=None): # gray : (h, w, 1) self.IMAGE_SHAPE = image_shape self.NUM_CLASS = num_class self.RESNET_VERSION = resnet_version self.OTHER_INPUT_SHAPE = other_input_shape self.train_hist = None return def build_model(self): if self.RESNET_VERSION == 'ver1': self.model = self.resnet_ver1(input_shape=self.IMAGE_SHAPE, other_input_shape=self.OTHER_INPUT_SHAPE, num_classes=self.NUM_CLASS) elif self.RESNET_VERSION == 'ver2': self.model = self.resnet_ver2(input_shape=self.IMAGE_SHAPE, other_input_shape=self.OTHER_INPUT_SHAPE, num_classes=self.NUM_CLASS) elif self.RESNET_VERSION == 'ver3': self.model = self.resnet_ver3(input_shape=self.IMAGE_SHAPE, other_input_shape=self.OTHER_INPUT_SHAPE, num_classes=self.NUM_CLASS) return def train_model(self, train_x, train_y, val_x, val_y, learning_rate, epochs, batch_size, class_balance_loss_effective_beta=None, focal_loss_gamma=None, random_erasing_kwargs=None, mixup_alpha=None, normalize_by_1275=False, save_file=None, csv_file=None): # model compile if (class_balance_loss_effective_beta is None) and (focal_loss_gamma is None): # categorical crossentropy self.model.compile(loss='categorical_crossentropy', optimizer=Adam(lr=learning_rate), metrics=['accuracy']) else: # constant self.CLASS_BALANCE_LOSS_EFFECTIVE_BETA = class_balance_loss_effective_beta self.FOCAL_LOSS_GAMMA = focal_loss_gamma self.TRUE_EACH_LABEL_NUM = np.sum(train_y, axis=0) # class balanced loss, focal loss self.model.compile(loss=self.__class_balanced_focal_loss, optimizer=Adam(lr=learning_rate), metrics=['accuracy']) # summary self.model.summary() # call back callbacks = [] # learning rate self.LEARNING_RATE = learning_rate lr_scheduler = LearningRateScheduler(self.__lr_schedule) #lr_reducer = ReduceLROnPlateau(factor=np.sqrt(0.1), # cooldown=0, # patience=5, # min_lr=0.5e-6) #callbacks = [lr_reducer, lr_scheduler] callbacks.append(lr_scheduler) # save model if save_file is not None: checkpoint = ModelCheckpoint(filepath=save_file, monitor='val_acc', verbose=1, save_best_only=True) callbacks.append(checkpoint) # save csv if csv_file is not None: csvlogger = CSVLogger(csv_file) callbacks.append(csvlogger) # This will do preprocessing and realtime data augmentation: image_gen_args = { # set input mean to 0 over the dataset "featurewise_center":False, # set each sample mean to 0 "samplewise_center":False, # divide inputs by std of dataset "featurewise_std_normalization":False, # divide each input by its std "samplewise_std_normalization":False, # apply ZCA whitening "zca_whitening":False, # epsilon for ZCA whitening "zca_epsilon":1e-06, # randomly rotate images in the range (deg 0 to 180) "rotation_range":5, # randomly shift images horizontally "width_shift_range":0.1, # randomly shift images vertically "height_shift_range":0.1, # set range for random shear "shear_range":0., # set range for random zoom "zoom_range":0.2, # set range for random channel shifts "channel_shift_range":0., # set mode for filling points outside the input boundaries "fill_mode":'nearest', # value used for fill_mode : "constant" "cval":0., # randomly flip images "horizontal_flip":False, # randomly flip images "vertical_flip":False, # set rescaling factor (applied before any other transformation) "rescale":None, # set function that will be applied on each input "preprocessing_function":None, # image data format, either "channels_first" or "channels_last" "data_format":None, # fraction of images reserved for validation (strictly between 0 and 1) "validation_split":0.0} if self.OTHER_INPUT_SHAPE is None: datagen = ImageDataGenerator(**image_gen_args).flow(train_x, train_y, batch_size=batch_size) else: datagen = data_operator.ImageDataGeneratorWithOtherInputs( images=train_x[0], other_inputs=train_x[1], y=train_y, batch_size=batch_size, image_generator_args=image_gen_args, random_erasing_kwargs=random_erasing_kwargs, mixup_alpha=mixup_alpha, normalize_by_1275=normalize_by_1275) val_datagen = data_operator.ImageDataGeneratorWithOtherInputs( images=val_x[0], other_inputs=val_x[1], y=val_y, batch_size=batch_size, image_generator_args=None, random_erasing_kwargs=None, mixup_alpha=None, normalize_by_1275=normalize_by_1275) #xxx = datagen[0] # Fit the model on the batches generated by datagen.flow(). if self.OTHER_INPUT_SHAPE is None: self.train_hist = self.model.fit_generator(datagen, validation_data=(val_x, val_y), epochs=epochs, steps_per_epoch=len(train_x[0])/batch_size, callbacks=callbacks, ) else: self.train_hist = self.model.fit_generator(datagen, validation_data=val_datagen, epochs=epochs, steps_per_epoch=len(train_x[0])/batch_size, callbacks=callbacks, ) return def __lr_schedule(self, epoch): """Learning Rate Schedule Learning rate is scheduled to be reduced after 80, 120, 160, 180 epochs. Called automatically every epoch as part of callbacks during training. # Arguments epoch (int): The number of epochs # Returns lr (float32): learning rate """ lr = self.LEARNING_RATE if epoch > 180: lr *= 0.5e-3 elif epoch > 160: lr *= 1e-3 elif epoch > 120: lr *= 1e-2 elif epoch > 80: lr *= 1e-1 return lr def __resnet_layer(self, inputs, num_filters=16, kernel_size=3, strides=1, activation='relu', batch_normalization=True, conv_first=True): """2D Convolution-Batch Normalization-Activation stack builder # Arguments inputs (tensor): input tensor from input image or previous layer num_filters (int): Conv2D number of filters kernel_size (int): Conv2D square kernel dimensions strides (int): Conv2D square stride dimensions activation (string): activation name batch_normalization (bool): whether to include batch normalization conv_first (bool): conv-bn-activation (True) or bn-activation-conv (False) # Returns x (tensor): tensor as input to the next layer """ conv = Conv2D(num_filters, kernel_size=kernel_size, strides=strides, padding='same', kernel_initializer='he_normal', kernel_regularizer=l2(1e-4)) x = inputs if conv_first: x = conv(x) if batch_normalization: x = BatchNormalization()(x) if activation is not None: x = Activation(activation)(x) else: if batch_normalization: x = BatchNormalization()(x) if activation is not None: x = Activation(activation)(x) x = conv(x) return x def __resblock_ver1(self, input, num_block, num_filters, kernel_size, first_block_stride): """ architecture: inp -> (conv -> bn -> relu), [kernel_size*kernel_size, num_filters], stride=first_block_stride -> (conv -> bn -> relu) [kernel_size*kernel_size, num_filters], stride=1 -> ... -> (conv -> bn) [kernel_size*kernel_size, num_filters], stride=1 -> oup """ x = input for iblock in range(num_block): # set stride if iblock == 0: stride = first_block_stride else: stride = 1 # set activation if iblock != num_block - 1: activation = 'relu' else: activation = None # resnet layer x = self.__resnet_layer(inputs=x, num_filters=num_filters, kernel_size=kernel_size, strides=stride, activation=activation, batch_normalization=True, conv_first=True) return x def __shortcut(self, x, residual): ''' http://pynote.hatenablog.com/entry/keras-resnet-implementation shortcut connection を作成する。 ''' x_shape = K.int_shape(x) residual_shape = K.int_shape(residual) if x_shape == residual_shape: # x と residual の形状が同じ場合、なにもしない。 shortcut = x else: # x と residual の形状が異なる場合、線形変換を行い、形状を一致させる。 stride_w = int(round(x_shape[1] / residual_shape[1])) stride_h = int(round(x_shape[2] / residual_shape[2])) shortcut = Conv2D(filters=residual_shape[3], kernel_size=(1, 1), strides=(stride_w, stride_h), kernel_initializer='he_normal', kernel_regularizer=l2(1.e-4))(x) return Add()([shortcut, residual]) def resnet_ver1(self, input_shape, other_input_shape, num_classes): FIRST_NUM_FILTER = 48 FRIST_STRIDE = 2 NUM_RES_BLOCK = [2, 2, 2] FIRST_BLOCK_STRIDES = [2, 2, 2] NUM_FILTERS = [FIRST_NUM_FILTER*2, FIRST_NUM_FILTER*4, FIRST_NUM_FILTER*8] # input image_inputs = Input(shape=input_shape) # first layer x = self.__resnet_layer(inputs=image_inputs, num_filters=FIRST_NUM_FILTER, kernel_size=3, strides=FRIST_STRIDE, activation='relu', batch_normalization=True, conv_first=True) # stacked layer for istack in range(len(NUM_RES_BLOCK)): # res block y = self.__resblock_ver1(input=x, num_block=NUM_RES_BLOCK[istack], num_filters=NUM_FILTERS[istack], kernel_size=3, first_block_stride=FIRST_BLOCK_STRIDES[istack]) # shortcut x = self.__shortcut(x, y) # to last layer x = BatchNormalization()(x) x = Activation('relu')(x) x = GlobalAveragePooling2D()(x) x_shape = K.int_shape(x) # other inputs if other_input_shape is None: z_shape = [0, 0] else: other_inputs = Input(shape=other_input_shape) z = other_inputs z = BatchNormalization()(z) if len(K.int_shape(z)) > 2: z = Flatten()(z) z_shape = K.int_shape(z) # concatenate x = Concatenate()([x, z]) # fully conection #x = Dense(x_shape[1] + z_shape[1], # activation='linear', # kernel_initializer='he_normal')(x) #x = BatchNormalization()(x) #x = Activation('relu')(x) #x = LeakyReLU()(x) # classification outputs = Dense(num_classes, activation='softmax', kernel_initializer='he_normal')(x) # Instantiate model. if other_input_shape is None: model = Model(inputs=image_inputs, outputs=outputs) else: model = Model(inputs=[image_inputs, other_inputs], outputs=outputs) return model def resnet_ver2(self, input_shape, other_input_shape, num_classes): FIRST_NUM_FILTER = 48 FRIST_STRIDE = 2 NUM_RES_BLOCK = [6, 8, 6] FIRST_BLOCK_STRIDES = [2, 2, 2] NUM_FILTERS = [FIRST_NUM_FILTER*2, FIRST_NUM_FILTER*4, FIRST_NUM_FILTER*8] #NUM_RES_BLOCK = [2, 2, # 2, 2, # 2, 2] #FIRST_BLOCK_STRIDES = [1, 2, # 1, 2, # 1, 2] #NUM_FILTERS = [FIRST_NUM_FILTER*2, FIRST_NUM_FILTER*2, # FIRST_NUM_FILTER*4, FIRST_NUM_FILTER*4, # FIRST_NUM_FILTER*8, FIRST_NUM_FILTER*8] # input image_inputs = Input(shape=input_shape) # first layer x = self.__resnet_layer(inputs=image_inputs, num_filters=FIRST_NUM_FILTER, kernel_size=3, strides=FRIST_STRIDE, activation='relu', batch_normalization=True, conv_first=True) # stacked layer for istack in range(len(NUM_RES_BLOCK)): # res block y = self.__resblock_ver1(input=x, num_block=NUM_RES_BLOCK[istack], num_filters=NUM_FILTERS[istack], kernel_size=3, first_block_stride=FIRST_BLOCK_STRIDES[istack]) # shortcut x = self.__shortcut(x, y) # to last layer x = BatchNormalization()(x) x = Activation('relu')(x) x = GlobalAveragePooling2D()(x) x_shape = K.int_shape(x) # other inputs if other_input_shape is None: z_shape = [0, 0] else: other_inputs = Input(shape=other_input_shape) z = other_inputs z = BatchNormalization()(z) if len(K.int_shape(z)) > 2: z = Flatten()(z) z_shape = K.int_shape(z) # concatenate x = Concatenate()([x, z]) # fully conection #x = Dense(x_shape[1] + z_shape[1], # activation='linear', # kernel_initializer='he_normal')(x) #x = BatchNormalization()(x) #x = Activation('relu')(x) #x = LeakyReLU()(x) # classification outputs = Dense(num_classes, activation='softmax', kernel_initializer='he_normal')(x) # Instantiate model. if other_input_shape is None: model = Model(inputs=image_inputs, outputs=outputs) else: model = Model(inputs=[image_inputs, other_inputs], outputs=outputs) return model def resnet_ver3(self, input_shape, other_input_shape, num_classes): FIRST_NUM_FILTER = 48 FRIST_STRIDE = 2 NUM_RES_BLOCK = [6, 8, 6] FIRST_BLOCK_STRIDES = [2, 2, 2] NUM_FILTERS = [FIRST_NUM_FILTER*2, FIRST_NUM_FILTER*4, FIRST_NUM_FILTER*8] #NUM_RES_BLOCK = [2, 2, # 2, 2, # 2, 2] #FIRST_BLOCK_STRIDES = [1, 2, # 1, 2, # 1, 2] #NUM_FILTERS = [FIRST_NUM_FILTER*2, FIRST_NUM_FILTER*2, # FIRST_NUM_FILTER*4, FIRST_NUM_FILTER*4, # FIRST_NUM_FILTER*8, FIRST_NUM_FILTER*8] # input image_inputs = Input(shape=input_shape) # first layer x = self.__resnet_layer(inputs=image_inputs, num_filters=FIRST_NUM_FILTER, kernel_size=3, strides=FRIST_STRIDE, activation='relu', batch_normalization=True, conv_first=True) # stacked layer for istack in range(len(NUM_RES_BLOCK)): # res block y = self.__resblock_ver1(input=x, num_block=NUM_RES_BLOCK[istack], num_filters=NUM_FILTERS[istack], kernel_size=3, first_block_stride=FIRST_BLOCK_STRIDES[istack]) # shortcut x = self.__shortcut(x, y) # to last layer x = BatchNormalization()(x) x = Activation('relu')(x) x = GlobalAveragePooling2D()(x) x_shape = K.int_shape(x) # other inputs if other_input_shape is None: z_shape = [0, 0] else: other_inputs = Input(shape=other_input_shape) z = other_inputs z = BatchNormalization()(z) if len(K.int_shape(z)) > 2: z = Flatten()(z) z_shape = K.int_shape(z) # concatenate x = Concatenate()([x, z]) # fully conection #x = Dense(x_shape[1] + z_shape[1], # activation='linear', # kernel_initializer='he_normal')(x) #x = BatchNormalization()(x) #x = Activation('relu')(x) #x = LeakyReLU()(x) # classification outputs = Dense(num_classes, activation='softmax', kernel_initializer='he_normal')(x) # Instantiate model. if other_input_shape is None: model = Model(inputs=image_inputs, outputs=outputs) else: model = Model(inputs=[image_inputs, other_inputs], outputs=outputs) return model def __class_balanced_focal_loss(self, y_true, y_pred): """ https://arxiv.org/abs/1901.05555 https://qiita.com/tancoro/items/c58cbb33ee1b5971ee3b loss = weight * local * base_loss where weight = (1 - beta)/(1 - beta^n), focal = (1 - p)^gamma, base_loss: calagorical crossentropy = - p_true * log(p), """ epsilon = 1e-07 # weight if self.CLASS_BALANCE_LOSS_EFFECTIVE_BETA is not None: # weight = (1 - beta)/(1 - beta^n) # shape = (1, num_y) beta = self.CLASS_BALANCE_LOSS_EFFECTIVE_BETA #label_num = K.sum(y_true, axis=0) label_num = self.TRUE_EACH_LABEL_NUM beta_pow_n = tf.math.pow(beta, label_num) weight = (1 - beta) / (1 - beta_pow_n + epsilon) weight = weight[tf.newaxis,:] else: weight = 1.0 # focal if self.FOCAL_LOSS_GAMMA is not None: # focal = (1 - p)^gamma # shape = (num_sample, num_y) gamma = self.FOCAL_LOSS_GAMMA focal = K.pow(1 - y_pred + 1e-07, gamma) else: focal = 1.0 # calagorical crossentropy # shape = (num_sample, num_y) base_loss = - y_true * K.log(y_pred + epsilon) # loss # shape = (num_sample) loss = tf.reduce_sum(weight * focal * base_loss, axis=1) return loss def save_model(self, save_file, only_model_plot=False): """ save model """ # make dir save_dir = os.path.dirname(save_file) if not os.path.isdir(save_dir): os.makedirs(save_dir) # visualize plot_model(self.model, to_file=os.path.join(save_dir, 'model_structure.png'), show_shapes=True, show_layer_names=False) if not only_model_plot: # save model self.model.save(save_file) print('Saved trained model at %s ' % save_file) return def load_model(self, model_file): """ load model .h5 file """ self.model = load_model(model_file) return def predict(self, xs, soft=False): oups = self.model.predict(xs) if not soft: # output number oups = np.argmax(oups, axis=1) return oups def predict_tta(self, images, tta_func, other_inputs=None, soft=False, need_print=False): """ Args: tta_func: tta_func(images): return augmented images set. image set is [aug image1, ..., aug imageN]. """ if need_print: print('tta augment image') auged_imgs_set = tta_func(images, other_inputs) aug_num = len(auged_imgs_set) for iaug, auged_imgs in enumerate(auged_imgs_set): if need_print: print('tta set no. {0}'.format(iaug)) if iaug == 0: oups = self.model.predict(auged_imgs) else: oups = oups + self.model.predict(auged_imgs) oups = oups / aug_num if not soft: # output number oups = np.argmax(oups, axis=1) return oups
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7
0463dd21c72585a531363647fcb9c551aa7c11cd
1,947
py
Python
src/google_search.py
majhcc/M-API
b733d1bf15aec8b09bb613300f24ea7e000c0d5e
[ "MIT" ]
6
2022-01-30T10:59:04.000Z
2022-03-28T14:20:19.000Z
src/google_search.py
majhcc/M-API
b733d1bf15aec8b09bb613300f24ea7e000c0d5e
[ "MIT" ]
5
2022-02-07T12:17:03.000Z
2022-03-31T08:14:55.000Z
src/google_search.py
majhcc/M-API
b733d1bf15aec8b09bb613300f24ea7e000c0d5e
[ "MIT" ]
4
2022-01-30T10:59:08.000Z
2022-02-22T08:42:18.000Z
""" Coded by @majhcc """ import requests import lxml.html from bs4 import BeautifulSoup def get_google_results(query): res = requests.get(f'https://www.google.com/search?q={query}', allow_redirects=True, headers={ 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}) soup = BeautifulSoup(res.content, 'lxml') respon = soup.find_all('span', {'class': 'SJajHc NVbCr'}) links = [] for i in range(len(respon)+1): res = requests.get(f'https://www.google.com/search?q={query}&start={i*10}', allow_redirects=True, headers={ 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}) html = lxml.html.fromstring(res.content) respon = html.xpath('//*[@class="yuRUbf"]/a/@href') links += respon return links def advanced_search(query, county, language) -> list: resp = requests.get(f'https://www.google.com/search?as_q={query}&lr=lang_{language}&cr=country{county}', allow_redirects=True, headers={ 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}) soup = BeautifulSoup(resp.content, 'lxml') respon = soup.find_all('span', {'class': 'SJajHc NVbCr'}) links = [] for i in range(len(respon)+1): res = requests.get(f'https://www.google.com/search?as_q={query}&lr=lang_{language}&cr=country{county}&start={i*10}', allow_redirects=True, headers={ 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}) html = lxml.html.fromstring(res.content) respon = html.xpath('//*[@class="yuRUbf"]/a/@href') links += respon return links
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7
8e1abfca263c3596f07f70c049266a172313d99e
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py
Python
lib_rovpp/old/as_classes/v2/v2_base/__init__.py
jfuruness/lib_rovpp
67032c2dc296fa1804a8305d8cb671339b8e45e0
[ "BSD-3-Clause" ]
1
2021-09-27T14:20:12.000Z
2021-09-27T14:20:12.000Z
lib_rovpp/old/as_classes/v2/v2_base/__init__.py
jfuruness/lib_rovpp
67032c2dc296fa1804a8305d8cb671339b8e45e0
[ "BSD-3-Clause" ]
null
null
null
lib_rovpp/old/as_classes/v2/v2_base/__init__.py
jfuruness/lib_rovpp
67032c2dc296fa1804a8305d8cb671339b8e45e0
[ "BSD-3-Clause" ]
1
2021-10-01T16:30:33.000Z
2021-10-01T16:30:33.000Z
from .rovpp_v2_lite_simple_as import ROVPPV2LiteSimpleAS from .rovpp_v2_simple_as import ROVPPV2SimpleAS
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7
8e2e7d25d627c610473ee2cd1c9bb9bcb953a5fc
17,164
py
Python
unittests/test_match.py
pcjco/PyFuzzy-renamer
a8656f9d5b959a9e0d6c4e286c68e948e9cba80c
[ "MIT" ]
2
2021-07-12T17:46:31.000Z
2022-03-13T23:30:08.000Z
unittests/test_match.py
pcjco/PyFuzzy-renamer
a8656f9d5b959a9e0d6c4e286c68e948e9cba80c
[ "MIT" ]
null
null
null
unittests/test_match.py
pcjco/PyFuzzy-renamer
a8656f9d5b959a9e0d6c4e286c68e948e9cba80c
[ "MIT" ]
1
2021-07-19T21:27:23.000Z
2021-07-19T21:27:23.000Z
import os import unittest import wx from unittests import pfr from pyfuzzyrenamer import config # --------------------------------------------------------------------------- class match_Tests(pfr.PyFuzzyRenamerTestCase): def test_match(self): sourcesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/sources")) self.frame.panel.AddSourcesFromDir(sourcesDir) choicesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/choices")) self.frame.panel.AddChoicesFromDir(choicesDir) for each in self.button_panel.GetChildren(): if each.GetLabel() == "Best match": btn = each break event = wx.CommandEvent(wx.wxEVT_COMMAND_BUTTON_CLICKED, btn.GetId()) btn.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl item = -1 item = lst.GetNextItem(item) self.assertEqual( [ "Abutilon à feuilles marbrées.txt", "86", "Abutilon hybridum.txt", "Abutilon hybridum.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe à feuilles molles.txt", "70", "Acanthus mollis.txt", "Acanthus mollis.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe épineuse.txt", "73", "Acanthus spinosus.txt", "Acanthus spinosus.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Aconit vénéneux.txt", "52", "Aconitum anthora.txt", "Aconitum anthora.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Violette cornue.txt", "71", "Viola cornuta.txt", "Viola cornuta.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( [ "Volutaire à fleurs tubulées.txt", "54", "Volutaria tubuliflora.txt", "Volutaria tubuliflora.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) def test_match_sort_similarity(self): sourcesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/sources")) self.frame.panel.AddSourcesFromDir(sourcesDir) choicesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/choices")) self.frame.panel.AddChoicesFromDir(choicesDir) for each in self.button_panel.GetChildren(): if each.GetLabel() == "Best match": btn = each break event = wx.CommandEvent(wx.wxEVT_COMMAND_BUTTON_CLICKED, btn.GetId()) btn.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl event = wx.ListEvent(wx.wxEVT_LIST_COL_CLICK, lst.GetId()) event.SetColumn(1) lst.GetEventHandler().ProcessEvent(event) item = -1 item = lst.GetNextItem(item) self.assertEqual( ["Aconit vénéneux.txt", "52", "Aconitum anthora.txt", "Aconitum anthora.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( [ "Volutaire à fleurs tubulées.txt", "54", "Volutaria tubuliflora.txt", "Volutaria tubuliflora.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe à feuilles molles.txt", "70", "Acanthus mollis.txt", "Acanthus mollis.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Violette cornue.txt", "71", "Viola cornuta.txt", "Viola cornuta.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe épineuse.txt", "73", "Acanthus spinosus.txt", "Acanthus spinosus.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( [ "Abutilon à feuilles marbrées.txt", "86", "Abutilon hybridum.txt", "Abutilon hybridum.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) def test_match_sort_match(self): sourcesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/sources")) self.frame.panel.AddSourcesFromDir(sourcesDir) choicesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/choices")) self.frame.panel.AddChoicesFromDir(choicesDir) for each in self.button_panel.GetChildren(): if each.GetLabel() == "Best match": btn = each break event = wx.CommandEvent(wx.wxEVT_COMMAND_BUTTON_CLICKED, btn.GetId()) btn.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl event = wx.ListEvent(wx.wxEVT_LIST_COL_CLICK, lst.GetId()) event.SetColumn(2) lst.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl item = -1 item = lst.GetNextItem(item) self.assertEqual( [ "Abutilon à feuilles marbrées.txt", "86", "Abutilon hybridum.txt", "Abutilon hybridum.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe à feuilles molles.txt", "70", "Acanthus mollis.txt", "Acanthus mollis.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe épineuse.txt", "73", "Acanthus spinosus.txt", "Acanthus spinosus.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Aconit vénéneux.txt", "52", "Aconitum anthora.txt", "Aconitum anthora.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Violette cornue.txt", "71", "Viola cornuta.txt", "Viola cornuta.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( [ "Volutaire à fleurs tubulées.txt", "54", "Volutaria tubuliflora.txt", "Volutaria tubuliflora.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) def test_match_sort_preview(self): sourcesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/sources")) self.frame.panel.AddSourcesFromDir(sourcesDir) choicesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/choices")) self.frame.panel.AddChoicesFromDir(choicesDir) for each in self.button_panel.GetChildren(): if each.GetLabel() == "Best match": btn = each break event = wx.CommandEvent(wx.wxEVT_COMMAND_BUTTON_CLICKED, btn.GetId()) btn.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl event = wx.ListEvent(wx.wxEVT_LIST_COL_CLICK, lst.GetId()) event.SetColumn(3) lst.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl item = -1 item = lst.GetNextItem(item) self.assertEqual( [ "Abutilon à feuilles marbrées.txt", "86", "Abutilon hybridum.txt", "Abutilon hybridum.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe à feuilles molles.txt", "70", "Acanthus mollis.txt", "Acanthus mollis.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe épineuse.txt", "73", "Acanthus spinosus.txt", "Acanthus spinosus.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Aconit vénéneux.txt", "52", "Aconitum anthora.txt", "Aconitum anthora.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Violette cornue.txt", "71", "Viola cornuta.txt", "Viola cornuta.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( [ "Volutaire à fleurs tubulées.txt", "54", "Volutaria tubuliflora.txt", "Volutaria tubuliflora.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) def test_match_sort_status(self): sourcesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/sources")) self.frame.panel.AddSourcesFromDir(sourcesDir) choicesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/choices")) self.frame.panel.AddChoicesFromDir(choicesDir) for each in self.button_panel.GetChildren(): if each.GetLabel() == "Best match": btn = each break event = wx.CommandEvent(wx.wxEVT_COMMAND_BUTTON_CLICKED, btn.GetId()) btn.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl event = wx.ListEvent(wx.wxEVT_LIST_COL_CLICK, lst.GetId()) event.SetColumn(4) lst.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl item = -1 item = lst.GetNextItem(item) self.assertEqual( [ "Abutilon à feuilles marbrées.txt", "86", "Abutilon hybridum.txt", "Abutilon hybridum.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe à feuilles molles.txt", "70", "Acanthus mollis.txt", "Acanthus mollis.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe épineuse.txt", "73", "Acanthus spinosus.txt", "Acanthus spinosus.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Aconit vénéneux.txt", "52", "Aconitum anthora.txt", "Aconitum anthora.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Violette cornue.txt", "71", "Viola cornuta.txt", "Viola cornuta.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( [ "Volutaire à fleurs tubulées.txt", "54", "Volutaria tubuliflora.txt", "Volutaria tubuliflora.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) def test_match_sort_checked(self): sourcesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/sources")) self.frame.panel.AddSourcesFromDir(sourcesDir) choicesDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "./data/choices")) self.frame.panel.AddChoicesFromDir(choicesDir) for each in self.button_panel.GetChildren(): if each.GetLabel() == "Best match": btn = each break event = wx.CommandEvent(wx.wxEVT_COMMAND_BUTTON_CLICKED, btn.GetId()) btn.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl event = wx.ListEvent(wx.wxEVT_LIST_COL_CLICK, lst.GetId()) event.SetColumn(5) lst.GetEventHandler().ProcessEvent(event) lst = self.frame.panel.list_ctrl item = -1 item = lst.GetNextItem(item) self.assertEqual( [ "Abutilon à feuilles marbrées.txt", "86", "Abutilon hybridum.txt", "Abutilon hybridum.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe à feuilles molles.txt", "70", "Acanthus mollis.txt", "Acanthus mollis.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Acanthe épineuse.txt", "73", "Acanthus spinosus.txt", "Acanthus spinosus.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Aconit vénéneux.txt", "52", "Aconitum anthora.txt", "Aconitum anthora.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( ["Violette cornue.txt", "71", "Viola cornuta.txt", "Viola cornuta.txt", "1", "Matched", "True",], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) item = lst.GetNextItem(item) self.assertEqual( [ "Volutaire à fleurs tubulées.txt", "54", "Volutaria tubuliflora.txt", "Volutaria tubuliflora.txt", "1", "Matched", "True", ], [lst.GetItemText(item, col) for col in range(0, len(config.default_columns))], ) # --------------------------------------------------------------------------- if __name__ == "__main__": unittest.main()
40.9642
123
0.549056
1,793
17,164
5.167875
0.060792
0.023311
0.069933
0.085474
0.976149
0.976149
0.976149
0.976149
0.97561
0.97561
0
0.013023
0.306572
17,164
418
124
41.062201
0.765502
0.008797
0
0.824147
0
0
0.183186
0
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0.094488
1
0.015748
false
0
0.013123
0
0.031496
0
0
0
0
null
0
0
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1
1
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0
0
0
0
0
0
0
0
0
0
0
7
8e3446ae02f279e52644ad54cb244adf6f19872d
157
py
Python
dvik_logging/__init__.py
aquarioos/dvik-logging
91fe1ff2d797d5c2cf4a97148e74191b8904e1b4
[ "MIT" ]
2
2018-09-19T22:27:13.000Z
2020-08-11T07:30:53.000Z
dvik_logging/__init__.py
aquarioos/dvik-logging
91fe1ff2d797d5c2cf4a97148e74191b8904e1b4
[ "MIT" ]
null
null
null
dvik_logging/__init__.py
aquarioos/dvik-logging
91fe1ff2d797d5c2cf4a97148e74191b8904e1b4
[ "MIT" ]
null
null
null
from .dvik_logging import add_file_handler, add_console_handler from .dvik_logging import clear_handlers from .dvik_logging import create_logger, get_logger
39.25
63
0.878981
24
157
5.333333
0.541667
0.1875
0.351563
0.492188
0
0
0
0
0
0
0
0
0.089172
157
3
64
52.333333
0.895105
0
0
0
0
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0
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1
0
true
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1
0
1
0
1
0
0
null
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
1
0
1
0
0
7
8e3ead3d91feae8b0c180d72f41402c6bd354e33
158
py
Python
Python/libraries/recognizers-sequence/recognizers_sequence/sequence/config/__init__.py
XiaoxiaoMa0815/Recognizers-Text
d9a4bc939348bd79b5982345255961dff5f356c6
[ "MIT" ]
2
2017-08-22T11:21:19.000Z
2017-09-17T20:06:00.000Z
Python/libraries/recognizers-sequence/recognizers_sequence/sequence/config/__init__.py
XiaoxiaoMa0815/Recognizers-Text
d9a4bc939348bd79b5982345255961dff5f356c6
[ "MIT" ]
76
2018-11-09T18:19:44.000Z
2019-08-20T20:29:53.000Z
Python/libraries/recognizers-sequence/recognizers_sequence/sequence/config/__init__.py
XiaoxiaoMa0815/Recognizers-Text
d9a4bc939348bd79b5982345255961dff5f356c6
[ "MIT" ]
6
2017-05-04T17:24:59.000Z
2019-07-23T15:48:44.000Z
from .url_configuration import * from .phone_number_configuration import * from .ip_configuration import * from .base_phone_number_configuration import *
31.6
47
0.822785
19
158
6.473684
0.421053
0.617886
0.560976
0.487805
0
0
0
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0
0
0
0
0.126582
158
4
48
39.5
0.891304
0
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true
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0
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null
0
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0
0
0
1
0
1
0
1
0
0
8
f3ebb1d2afed9ba539e7deca2809f0bc2593ca23
159
py
Python
pgkit/application/models/__init__.py
SadeghHayeri/pgk
258c859f4e6c1ca7d515851552402a2e6bec80dc
[ "MIT" ]
7
2021-06-14T07:22:50.000Z
2021-12-15T14:25:49.000Z
pgkit/application/models/__init__.py
SadeghHayeri/pgkit
258c859f4e6c1ca7d515851552402a2e6bec80dc
[ "MIT" ]
null
null
null
pgkit/application/models/__init__.py
SadeghHayeri/pgkit
258c859f4e6c1ca7d515851552402a2e6bec80dc
[ "MIT" ]
null
null
null
from pgkit.application.models.postgres import Postgres from pgkit.application.models.master import Master from pgkit.application.models.replica import Replica
39.75
54
0.867925
21
159
6.571429
0.380952
0.195652
0.434783
0.565217
0
0
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0
0
0
0
0.075472
159
3
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53
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0
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true
0
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1
0
1
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null
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0
1
0
1
0
1
0
0
7
6d1a37acdc37e577576f8e74f04d75cb028336ff
8,331
py
Python
tests/test_check_syntax.py
jonhadfield/fval
c6945f6e9542a8a9faf1dda62e6b70c7df32c0e6
[ "MIT" ]
null
null
null
tests/test_check_syntax.py
jonhadfield/fval
c6945f6e9542a8a9faf1dda62e6b70c7df32c0e6
[ "MIT" ]
null
null
null
tests/test_check_syntax.py
jonhadfield/fval
c6945f6e9542a8a9faf1dda62e6b70c7df32c0e6
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- from __future__ import (absolute_import, unicode_literals, print_function) import os from fval.checks import syntax CHECK_NAME = 'SYNTAX' def test_valid_yaml_check(): yaml_content = """--- item1: a item2: 1 item3: - first: f - second: s """ test_1 = {"item1": "a"} test_2 = {"item2": "1"} test_3 = {"item3.1.second": "s"} check_args = dict() check_args['regexes'] = [test_1, test_2, test_3] check_args['markup'] = 'yaml' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=yaml_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'INFO' def test_valid_yaml_check_with_failed_match(): yaml_content = """--- item1: a item2: 1 item3: - first: f - second: t """ test_1 = {"item1": "a"} test_2 = {"item2": "1"} test_3 = {"item3.1.second": "s"} check_args = dict() check_args['regexes'] = [test_1, test_2, test_3] check_args['markup'] = 'yaml' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=yaml_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_valid_yaml_check_with_missing_param(): yaml_content = """--- item1: a item2: 1 item3: - first: f - second: t """ test_1 = {"item1": "a"} test_2 = {"item2": "1"} test_3 = {"item4.1.second": "s"} check_args = dict() check_args['regexes'] = [test_1, test_2, test_3] check_args['markup'] = 'yaml' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=yaml_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_invalid_yaml_check(): yaml_content = """*a """ test_1 = {"item1": "b"} test_2 = {"item2": "b"} check_args = dict() check_args['regexes'] = [test_1, test_2] check_args['markup'] = 'yaml' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=yaml_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_invalid_json_check(): json_content = """--- item1: a item2: b """ test_1 = {"item1": "b"} test_2 = {"item2": "b"} check_args = dict() check_args['regexes'] = [test_1, test_2] check_args['markup'] = 'json' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=json_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_valid_json_check(): json_content = """ {"employees":[ {"firstName":"John", "lastName":"Doe"}, {"firstName":"Anna", "lastName":"Smith"}, {"firstName":"Peter", "lastName":"Jones"} ]} """ test_1 = {"employees.0.firstName": "John"} check_args = dict() check_args['regexes'] = [test_1] check_args['markup'] = 'json' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=json_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'INFO' def test_invalid_ini_check(): ini_content = """*""" check_args = dict() check_args['regexes'] = list() check_args['markup'] = 'ini' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=ini_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_invalid_xml_check(): xml_content = """--- item1: a item2: b """ test_1 = {"item1": "b"} test_2 = {"item2": "b"} check_args = dict() check_args['regexes'] = [test_1, test_2] check_args['markup'] = 'xml' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=xml_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_valid_xml_check(): xml_content = b"""<valid>a</valid>""" test_1 = {"employees.0.firstName": "John"} check_args = dict() check_args['regexes'] = [test_1] check_args['markup'] = 'xml' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=xml_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'INFO' def test_invalid_java_properties_check(): java_properties_content = b"""invalid""" test_1 = {"employees.0.firstName": "John"} check_args = dict() check_args['regexes'] = [test_1] check_args['markup'] = 'java_properties' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=java_properties_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_valid_java_properties_check(): java_properties_content = 'hello=world' + os.linesep + 'job:goodun' test_1 = {"hello": "world"} test_2 = {"job": "goodun"} check_args = dict() check_args['regexes'] = [test_1, test_2] check_args['markup'] = 'java_properties' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=java_properties_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'INFO' def test_valid_java_properties_check_with_non_matching_regex(): java_properties_content = 'hello=world' + os.linesep + 'job:goodun' test_1 = {"hello": "world"} test_2 = {"job": "baddun"} check_args = dict() check_args['regexes'] = [test_1, test_2] check_args['markup'] = 'java_properties' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=java_properties_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_valid_java_properties_check_with_missing_param(): java_properties_content = 'hello=world' test_1 = {"hello": "world"} test_2 = {"job": "goodun"} check_args = dict() check_args['regexes'] = [test_1, test_2] check_args['markup'] = 'java_properties' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=java_properties_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'WARN' def test_invalid_check(): java_properties_content = 'hello=world' test_1 = {"hello": "world"} check_args = dict() check_args['regexes'] = [test_1] check_args['markup'] = 'dodgy_markup' check_args['config'] = 'test' execution_args = dict(unit_path='fake_path', unit_content=java_properties_content, check_args=check_args, config=None) result = syntax.run(**execution_args) assert result['level'] == 'ERROR'
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0.171818
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0.057273
0.902727
0.897955
0.875227
0.869091
0.869091
0.851591
0
0.015453
0.293122
8,331
259
75
32.166023
0.731703
0.002521
0
0.833333
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0.184762
0.010111
0
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0.061404
false
0
0.013158
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0.074561
0.004386
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0
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0
0
0
0
0
0
0
0
7
6d28b1f9f345e3008d11aa61bc52ac1a624b8378
7,951
py
Python
ECGMOD/ALquery.py
TheJacksonLab/ECG_ActiveLearning
131870c5804a022ee54274c9994663bb504c963e
[ "MIT" ]
3
2021-12-10T03:25:11.000Z
2022-01-13T20:36:10.000Z
ECGMOD/ALquery.py
TheJacksonLab/ECG_ActiveLearning
131870c5804a022ee54274c9994663bb504c963e
[ "MIT" ]
null
null
null
ECGMOD/ALquery.py
TheJacksonLab/ECG_ActiveLearning
131870c5804a022ee54274c9994663bb504c963e
[ "MIT" ]
null
null
null
""" @author: gsivaraman@anl.gov """ import torch import numpy as np import scipy.special as sc def unc_sampler(predictions, gpnoise, globind, GP='EXACT'): """ GP uncertainity query Q_${unc}$(u) = argmin{xi elem u} \frac{|mu(xi)|}{ sqrt( var(xi) ) } Input Args: prediction : (tensor) gpnoise : Learned GP noise variance (1x1 tensor) globind :(list or tuple) List of global dataset index for prediction GP : EXACT, MULTITASK (str) Return: index : Argmin global index to be added to training """ from itertools import compress unc = predictions.mean.abs() / torch.sqrt(predictions.variance + gpnoise) # gpnoise ---> torch.exp(2 * gpnoise) # lowerbound = torch.abs( torch.mean(unc.norm(dim =1)) - torch.std(unc.norm(dim =1) ) ) # trutharray = unc.norm(dim =1) < lowerbound # true_index = list(compress(range(len(trutharray)), trutharray)) if GP == 'EXACT': selected_label = torch.argmin(unc) elif GP == 'MULTITASK': selected_label = torch.argmin(unc.norm(dim=1)) index = [] index.append(globind[selected_label]) return index class EMOC: """ Expected Model Output Changes Freytag et al., 'Selecting Influential Examples: Active Learning with Expected Model Output Changes', ECCV (2014) """ def __init__(self, predictions, model, gpnoise, globind, Ntrain, Nval, norm=1): """ Input Args: prediction : (tensor) model : GPyTorch model after validation gpnoise : Learned GP noise variance (1x1 tensor) globind :(list or tuple) List of global dataset index for prediction Ntrain : Number of training samples in current AL iteration (int) Nval : Number of validation samples in current AL iteration (int) norm : order of the moment (int) """ self.predictions = predictions self.model = model self.Kernel = self.model.K self.gpnoise = gpnoise self.globind = globind self.Ntrain = Ntrain self.Nval = Nval self.norm = norm self.dtype = self.determine_dtype() self.emoc = torch.zeros(self.Nval).type(self.dtype) self.index = [] def determine_dtype(self): """ Determines the torch data type return: dtype : Tensor Float type """ use_cuda = torch.cuda.is_available() dtype = torch.cuda.FloatTensor if use_cuda else torch.FloatTensor return dtype def gaussianabsolutemoment(self): """ Computes Gaussian absolute moments Return: moments : tensor """ mean_to_variance = (self.predictions.mean ** 2) / self.predictions.variance dim = mean_to_variance.shape[0] prefactor = ( (2 * self.predictions.variance )**(self.norm/2.) * torch.lgamma(torch.tensor(1. + self.norm/2.)).exp() ) / (torch.sqrt(torch.tensor(np.pi) ) ) hypf = sc.hyp1f1(np.ones(dim) * (- self.norm/2.), np.ones(dim) * 0.5, mean_to_variance * -0.5) return prefactor * hypf def compute_emoc(self): """ Gather all the prefactor, test sample, kernels, and compute EMOC. Guide : delta alpha expanded as first term \times denominator + second term \times denominator Return: index : Argmax global index to be added to training """ moments = self.gaussianabsolutemoment() K_inv_prod=torch.ones([self.Ntrain+1, self.Nval])*-1 K_inv_prod[:self.Ntrain, :], _= torch.solve(torch.from_numpy(self.Kernel[0:self.Ntrain, self.Ntrain:].numpy( )), torch.from_numpy(self.Kernel[0:self.Ntrain, 0:self.Ntrain].numpy()) + torch.eye(self.Ntrain) * self.gpnoise) firstterm=torch.matmul( K_inv_prod[:-1, :].T, torch.from_numpy(self.Kernel[:self.Ntrain, :].numpy())) denominator=1 / (self.predictions.variance + self.gpnoise) # denominator[ind] * for ind in range(self.Nval): deltaF=denominator[ind] * firstterm[ind] + denominator[ind] * K_inv_prod[-1, ind] * torch.from_numpy(self.Kernel[self.Ntrain+ind, :].detach().numpy()) self.emoc[ind] = torch.mean(torch.pow(torch.abs(deltaF), self.norm)) self.emoc *= moments selected_label=torch.argmax(self.emoc) self.index.append(self.globind[selected_label]) return self.index class EMOC_GPU: """ Expected Model Output Changes Freytag et al., 'Selecting Influential Examples: Active Learning with Expected Model Output Changes', ECCV (2014) """ def __init__(self, predictions, model, gpnoise, globind, Ntrain, Nval, norm=1): """ Input Args: prediction : (tensor) model : GPyTorch model after validation gpnoise : Learned GP noise variance (1x1 tensor) globind :(list or tuple) List of global dataset index for prediction Ntrain : Number of training samples in current AL iteration (int) Nval : Number of validation samples in current AL iteration (int) norm : order of the moment (int) """ self.predictions = predictions self.model = model self.Kernel = self.model.K self.gpnoise = gpnoise self.globind = globind self.Ntrain = Ntrain self.Nval = Nval self.norm = norm self.dtype = self.determine_dtype() self.emoc = torch.zeros(self.Nval).type(self.dtype) self.index = [] def determine_dtype(self): """ Determines the torch data type return: dtype : Tensor Float type """ use_cuda = torch.cuda.is_available() dtype = torch.cuda.FloatTensor if use_cuda else torch.FloatTensor return dtype def gaussianabsolutemoment(self): """ Computes Gaussian absolute moments Return: moments : tensor """ mean_to_variance = (self.predictions.mean ** 2) / self.predictions.variance dim = mean_to_variance.shape[0] prefactor = ( (2 * self.predictions.variance )**(self.norm/2.) * torch.lgamma(torch.tensor(1. + self.norm/2.)).exp() ) / (torch.sqrt(torch.tensor(np.pi) ) ) hypf = sc.hyp1f1(np.ones(dim) * (- self.norm/2.), np.ones(dim) * 0.5, mean_to_variance.cpu() * -0.5) hypf = hypf.cuda() return prefactor * hypf def compute_emoc(self): """ Gather all the prefactor, test sample, kernels, and compute EMOC. Guide : delta alpha expanded as first term \times denominator + second term \times denominator Return: index : Argmax global index to be added to training """ moments = self.gaussianabsolutemoment() K_inv_prod=torch.ones([self.Ntrain+1, self.Nval])*-1 K_inv_prod = K_inv_prod.cuda() K_inv_prod[:self.Ntrain, :], _= torch.solve( torch.from_numpy(self.Kernel[0:self.Ntrain, self.Ntrain:].cuda().numpy( )).cuda() , torch.from_numpy(self.Kernel[0:self.Ntrain, 0:self.Ntrain].cuda().numpy()).cuda() + torch.eye(self.Ntrain).cuda() * self.gpnoise) firstterm=torch.matmul( K_inv_prod[:-1, :].T, torch.from_numpy(self.Kernel[:self.Ntrain, :].cuda().numpy()).cuda()) denominator=1 / (self.predictions.variance + self.gpnoise) denominator = denominator.cuda() # denominator[ind] * for ind in range(self.Nval): deltaF= denominator[ind] * firstterm[ind] + denominator[ind] * K_inv_prod[-1, ind] * torch.from_numpy(self.Kernel[self.Ntrain+ind, :].detach().cpu().numpy()).cuda() self.emoc[ind] = torch.mean(torch.pow(torch.abs(deltaF), self.norm)) self.emoc *= moments selected_label=torch.argmax(self.emoc) self.index.append(self.globind[selected_label]) return self.index
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7,951
4.951795
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0.262608
7,951
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36.140909
0.812724
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0
0
0
0
0
0
0
0
7
6d3caa992ece2950122204cc5b6ae1c51003c1ab
2,031
py
Python
tests/unit2/test_drawing_dimensions.py
yegarti/arcade
1862e61aab9a7dc646265005b0e808d953a9dfe3
[ "MIT" ]
824
2016-01-07T19:27:57.000Z
2020-08-01T03:15:47.000Z
tests/unit2/test_drawing_dimensions.py
yegarti/arcade
1862e61aab9a7dc646265005b0e808d953a9dfe3
[ "MIT" ]
646
2016-01-08T02:42:31.000Z
2020-08-03T14:13:27.000Z
tests/unit2/test_drawing_dimensions.py
yegarti/arcade
1862e61aab9a7dc646265005b0e808d953a9dfe3
[ "MIT" ]
221
2016-01-07T22:36:33.000Z
2020-07-24T23:30:08.000Z
import arcade SCREEN_WIDTH = 800 SCREEN_HEIGHT = 600 def test_drawing_dims(window): arcade.set_background_color(arcade.color.WHITE) # Start the render process. This must be done before any drawing commands. arcade.start_render() radius = 50 width = radius * 2 x = 200 y = 100 arcade.draw_rectangle_outline(x, y, width, width, arcade.color.BLACK, 2) arcade.draw_circle_outline(x, y, radius, arcade.color.BLACK, 2) arcade.draw_line(x - radius, y, x + radius, y, arcade.color.BLACK, 2) x = 200 y = 300 width = 150 half_width = width / 2 arcade.draw_rectangle_outline(x, y, width, 50, arcade.color.BLACK, 2) arcade.draw_ellipse_outline(x, y, width, 50, arcade.color.AFRICAN_VIOLET, 2) arcade.draw_line(x - half_width, y, x + half_width, y, arcade.color.RED, 2) x = 200 y = 500 width = 150 half_width = width / 2 arcade.draw_rectangle_outline(x, y, width, 50, arcade.color.BLACK, 2) arcade.draw_arc_outline(x, y, width, 50, arcade.color.AFRICAN_VIOLET, 0, 180, 5) arcade.draw_line(x - half_width, y, x + half_width, y, arcade.color.RED, 2) radius = 50 width = radius * 2 x = 400 y = 100 arcade.draw_rectangle_outline(x, y, width, width, arcade.color.BLACK, 2) arcade.draw_circle_filled(x, y, radius, arcade.color.AFRICAN_VIOLET) arcade.draw_line(x - radius, y, x + radius, y, arcade.color.BLACK, 2) x = 400 y = 300 width = 150 half_width = width / 2 arcade.draw_rectangle_outline(x, y, width, 50, arcade.color.BLACK, 2) arcade.draw_ellipse_filled(x, y, width, 50, arcade.color.AFRICAN_VIOLET, 2) arcade.draw_line(x - half_width, y, x + half_width, y, arcade.color.RED, 2) x = 400 y = 500 width = 150 half_width = width / 2 arcade.draw_rectangle_outline(x, y, width, 50, arcade.color.BLACK, 2) arcade.draw_arc_filled(x, y, width, 50, arcade.color.AFRICAN_VIOLET, 0, 180) arcade.draw_line(x - half_width, y, x + half_width, y, arcade.color.RED, 2)
33.85
84
0.670606
328
2,031
3.987805
0.164634
0.159786
0.109327
0.116972
0.827217
0.806575
0.761468
0.761468
0.761468
0.74159
0
0.065
0.212211
2,031
59
85
34.423729
0.7525
0.035451
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0.020833
false
0
0.020833
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0.041667
0
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0
0
0
0
0
0
0
7
6d539edf2a1ec2656a142bdb7e6731cb21a78188
135,189
py
Python
src/orbitaz/files/arrays/commodity_products.py
w0L-g0R/orbitaz
f4daf028060fe527b8c6eb809f24b011928c2fa2
[ "MIT" ]
null
null
null
src/orbitaz/files/arrays/commodity_products.py
w0L-g0R/orbitaz
f4daf028060fe527b8c6eb809f24b011928c2fa2
[ "MIT" ]
null
null
null
src/orbitaz/files/arrays/commodity_products.py
w0L-g0R/orbitaz
f4daf028060fe527b8c6eb809f24b011928c2fa2
[ "MIT" ]
null
null
null
from abc import ABC, abstractmethod class RecordsArray(ABC): @classmethod @abstractmethod def get_all(cls): raise NotImplementedError() class CommodityProductArray(RecordsArray): """ Encapsulates records per country and/or data source, in order to be used to prepolate the commodity product database model as python lists """ AT = [ ["Erdöl", "Diesel", "true", "WOB", "2015-03-23", "week", 0, 3], [ "Erdöl", "Heizöl leicht", "true", "WOB", "2015-03-23", "week", 0, 3, ], ["Erdöl", "Schweröl", "true", "WOB", "2015-03-23", "week", 0, 3], ["Erdöl", "Benzin 95", "true", "WOB", "2015-03-23", "week", 0, 3], ["Erdöl", "Diesel", "false", "WOB", "2015-03-23", "week", 0, 3], [ "Erdöl", "Heizöl leicht", "false", "WOB", "2015-03-23", "week", 0, 3, ], ["Erdöl", "Schweröl", "false", "WOB", "2015-03-23", "week", 0, 3], ["Erdöl", "Benzin 95", "false", "WOB", "2015-03-23", "week", 0, 3], ["Strom", "BM+0", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+7", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+8", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+9", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BM+10", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+0", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+7", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+8", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+9", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PM+10", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+0", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+7", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+8", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+9", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+10", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+11", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BQ+12", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+0", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+7", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+8", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+9", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+10", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+11", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PQ+12", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BY+0", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BY+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BY+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BY+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BY+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BY+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "BY+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PY+0", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PY+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PY+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PY+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PY+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PY+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Strom", "PY+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+0", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+7", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+8", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+9", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+10", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+11", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+12", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+13", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+14", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+15", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+16", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+17", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+18", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+19", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+20", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+21", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+22", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+23", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+24", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+25", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+26", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+27", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+28", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+29", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+30", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+31", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+32", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+33", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+34", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "M+35", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+7", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+8", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+9", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+10", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+11", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Q+12", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "S+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "S+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "S+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "S+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "S+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "S+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "S+7", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Y+1", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Y+2", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Y+3", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Y+4", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Y+5", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "Y+6", "false", "EEX", "2017-01-01", "day", 0, 4], ["Gas", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_Peak", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_0", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_1", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_2", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_3", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_4", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_5", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_6", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_7", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_8", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_9", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_10", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_11", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_12", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_13", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_14", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_15", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_16", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_17", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_18", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_19", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_20", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_21", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_22", "false", "EEPEX", "2018-01-01", "day", 0, 4], ["Strom", "DA_23", "false", "EEPEX", "2018-01-01", "day", 0, 4], ] DE = [ ["Erdöl", "Diesel", "true", "WOB", "2015-03-23", "week", 1, 3], [ "Erdöl", "Heizöl leicht", "true", "WOB", "2015-03-23", "week", 1, 3, ], ["Erdöl", "Schweröl", "true", "WOB", "2015-03-23", "week", 1, 3], ["Erdöl", "Benzin 95", "true", "WOB", "2015-03-23", "week", 1, 3], ["Erdöl", "Diesel", "false", "WOB", "2015-03-23", "week", 1, 3], [ "Erdöl", "Heizöl leicht", "false", "WOB", "2015-03-23", "week", 1, 3, ], ["Erdöl", "Schweröl", "false", "WOB", "2015-03-23", "week", 1, 3], ["Erdöl", "Benzin 95", "false", "WOB", "2015-03-23", "week", 1, 3], ["Strom", "BM+0", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+7", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+8", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+9", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BM+10", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+0", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+7", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+8", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+9", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PM+10", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+0", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+7", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+8", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+9", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+10", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+11", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BQ+12", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+0", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+7", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+8", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+9", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+10", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+11", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PQ+12", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BY+0", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BY+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BY+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BY+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BY+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BY+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "BY+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PY+0", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PY+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PY+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PY+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PY+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PY+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Strom", "PY+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+0", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+7", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+8", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+9", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+10", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+11", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+12", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+13", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+14", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+15", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+16", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+17", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+18", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+19", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+20", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+21", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+22", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+23", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+24", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+25", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+26", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+27", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+28", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+29", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+30", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+31", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+32", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+33", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+34", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "M+35", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+7", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+8", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+9", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+10", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+11", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Q+12", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "S+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "S+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "S+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "S+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "S+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "S+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "S+7", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Y+1", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Y+2", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Y+3", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Y+4", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Y+5", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "Y+6", "false", "EEX", "2017-01-01", "day", 1, 4], ["Gas", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_Peak", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_0", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_1", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_2", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_3", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_4", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_5", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_6", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_7", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_8", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_9", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_10", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_11", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_12", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_13", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_14", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_15", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_16", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_17", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_18", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_19", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_20", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_21", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_22", "false", "EEPEX", "2018-01-01", "day", 1, 4], ["Strom", "DA_23", "false", "EEPEX", "2018-01-01", "day", 1, 4], ] BE = [ ["Erdöl", "Diesel", "true", "WOB", "2015-03-23", "week", 2, 3], [ "Erdöl", "Heizöl leicht", "true", "WOB", "2015-03-23", "week", 2, 3, ], ["Erdöl", "Schweröl", "true", "WOB", "2015-03-23", "week", 2, 3], ["Erdöl", "Benzin 95", "true", "WOB", "2015-03-23", "week", 2, 3], ["Erdöl", "Diesel", "false", "WOB", "2015-03-23", "week", 2, 3], [ "Erdöl", "Heizöl leicht", "false", "WOB", "2015-03-23", "week", 2, 3, ], ["Erdöl", "Schweröl", "false", "WOB", "2015-03-23", "week", 2, 3], ["Erdöl", "Benzin 95", "false", "WOB", "2015-03-23", "week", 2, 3], ["Strom", "BM+0", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+7", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+8", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+9", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BM+10", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+0", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+7", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+8", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+9", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PM+10", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+0", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+7", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+8", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+9", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+10", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+11", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BQ+12", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+0", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+7", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+8", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+9", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+10", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+11", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PQ+12", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BY+0", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BY+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BY+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BY+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BY+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BY+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "BY+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PY+0", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PY+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PY+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PY+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PY+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PY+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Strom", "PY+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+0", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+7", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+8", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+9", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+10", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+11", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+12", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+13", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+14", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+15", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+16", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+17", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+18", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+19", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+20", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+21", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+22", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+23", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+24", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+25", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+26", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+27", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+28", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+29", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+30", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+31", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+32", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+33", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+34", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "M+35", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+7", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+8", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+9", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+10", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+11", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Q+12", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "S+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "S+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "S+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "S+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "S+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "S+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "S+7", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Y+1", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Y+2", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Y+3", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Y+4", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Y+5", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "Y+6", "false", "EEX", "2017-01-01", "day", 2, 4], ["Gas", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_Peak", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_0", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_1", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_2", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_3", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_4", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_5", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_6", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_7", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_8", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_9", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_10", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_11", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_12", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_13", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_14", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_15", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_16", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_17", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_18", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_19", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_20", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_21", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_22", "false", "EEPEX", "2018-01-01", "day", 2, 4], ["Strom", "DA_23", "false", "EEPEX", "2018-01-01", "day", 2, 4], ] NL = [ ["Erdöl", "Diesel", "true", "WOB", "2015-03-23", "week", 3, 3], [ "Erdöl", "Heizöl leicht", "true", "WOB", "2015-03-23", "week", 3, 3, ], ["Erdöl", "Schweröl", "true", "WOB", "2015-03-23", "week", 3, 3], ["Erdöl", "Benzin 95", "true", "WOB", "2015-03-23", "week", 3, 3], ["Erdöl", "Diesel", "false", "WOB", "2015-03-23", "week", 3, 3], [ "Erdöl", "Heizöl leicht", "false", "WOB", "2015-03-23", "week", 3, 3, ], ["Erdöl", "Schweröl", "false", "WOB", "2015-03-23", "week", 3, 3], ["Erdöl", "Benzin 95", "false", "WOB", "2015-03-23", "week", 3, 3], ["Strom", "BM+0", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+7", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+8", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+9", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BM+10", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+0", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+7", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+8", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+9", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PM+10", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+0", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+7", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+8", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+9", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+10", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+11", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BQ+12", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+0", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+7", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+8", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+9", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+10", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+11", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PQ+12", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BY+0", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BY+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BY+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BY+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BY+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BY+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "BY+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PY+0", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PY+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PY+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PY+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PY+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PY+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Strom", "PY+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+0", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+7", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+8", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+9", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+10", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+11", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+12", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+13", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+14", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+15", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+16", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+17", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+18", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+19", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+20", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+21", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+22", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+23", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+24", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+25", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+26", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+27", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+28", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+29", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+30", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+31", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+32", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+33", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+34", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "M+35", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+7", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+8", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+9", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+10", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+11", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Q+12", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "S+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "S+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "S+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "S+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "S+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "S+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "S+7", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Y+1", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Y+2", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Y+3", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Y+4", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Y+5", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "Y+6", "false", "EEX", "2017-01-01", "day", 3, 4], ["Gas", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_Peak", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_0", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_1", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_2", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_3", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_4", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_5", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_6", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_7", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_8", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_9", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_10", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_11", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_12", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_13", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_14", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_15", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_16", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_17", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_18", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_19", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_20", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_21", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_22", "false", "EEPEX", "2018-01-01", "day", 3, 4], ["Strom", "DA_23", "false", "EEPEX", "2018-01-01", "day", 3, 4], ] FR = [ ["Erdöl", "Diesel", "true", "WOB", "2015-03-23", "week", 4, 3], [ "Erdöl", "Heizöl leicht", "true", "WOB", "2015-03-23", "week", 4, 3, ], ["Erdöl", "Schweröl", "true", "WOB", "2015-03-23", "week", 4, 3], ["Erdöl", "Benzin 95", "true", "WOB", "2015-03-23", "week", 4, 3], ["Erdöl", "Diesel", "false", "WOB", "2015-03-23", "week", 4, 3], [ "Erdöl", "Heizöl leicht", "false", "WOB", "2015-03-23", "week", 4, 3, ], ["Erdöl", "Schweröl", "false", "WOB", "2015-03-23", "week", 4, 3], ["Erdöl", "Benzin 95", "false", "WOB", "2015-03-23", "week", 4, 3], ["Strom", "BM+0", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+7", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+8", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+9", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BM+10", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+0", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+7", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+8", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+9", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PM+10", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+0", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+7", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+8", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+9", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+10", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+11", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BQ+12", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+0", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+7", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+8", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+9", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+10", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+11", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PQ+12", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BY+0", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BY+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BY+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BY+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BY+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BY+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "BY+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PY+0", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PY+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PY+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PY+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PY+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PY+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Strom", "PY+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+0", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+7", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+8", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+9", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+10", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+11", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+12", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+13", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+14", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+15", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+16", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+17", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+18", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+19", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+20", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+21", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+22", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+23", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+24", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+25", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+26", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+27", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+28", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+29", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+30", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+31", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+32", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+33", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+34", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "M+35", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+7", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+8", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+9", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+10", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+11", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Q+12", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "S+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "S+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "S+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "S+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "S+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "S+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "S+7", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Y+1", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Y+2", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Y+3", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Y+4", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Y+5", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "Y+6", "false", "EEX", "2017-01-01", "day", 4, 4], ["Gas", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_Peak", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_0", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_1", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_2", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_3", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_4", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_5", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_6", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_7", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_8", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_9", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_10", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_11", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_12", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_13", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_14", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_15", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_16", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_17", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_18", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_19", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_20", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_21", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_22", "false", "EEPEX", "2018-01-01", "day", 4, 4], ["Strom", "DA_23", "false", "EEPEX", "2018-01-01", "day", 4, 4], ] CH = [ ["Strom", "DA_Base", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_Peak", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_0", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_1", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_2", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_3", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_4", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_5", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_6", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_7", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_8", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_9", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_10", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_11", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_12", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_13", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_14", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_15", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_16", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_17", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_18", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_19", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_20", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_21", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_22", "false", "EEPEX", "2018-01-01", "day", 7, 4], ["Strom", "DA_23", "false", "EEPEX", "2018-01-01", "day", 7, 4], ] ESTAT = [ [ "Strom", "Gruppe_D1_:_V._<_20_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", "Gruppe_D2_:_20_GJ_<_V._<_200_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", "Gruppe_D3_:_V._>_200_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", "Gruppe_I1_:_V._<_1_000_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", "Gruppe_I2_:_1_000_GJ_<_V._<_10_000_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", "Gruppe_I3_:_10_000_GJ_<_V._<_100_000_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", "Gruppe_I4_:_100_000_GJ_<_V._<_1_000_000_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", "Gruppe_I5_:_1_000_000_GJ_<_V._<_4_000_000_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", "Gruppe_I6_:_V._>_4_000_000_GJ", "true", "ESTAT", "2007-01-01", "season", 0, 5, ], [ "Strom", 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"Intraday_SP_7", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_8", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_9", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_10", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_11", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_12", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_13", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_14", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_15", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_16", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_17", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_18", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_19", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_20", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_21", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_22", "false", "EPEX", "2020-01-01", "day", 4, 4, ], [ "Strom", "Intraday_SP_23", "false", "EPEX", "2020-01-01", "day", 4, 4, ], ] @classmethod def get_all(cls): return [ *CommodityProductArray.AT, *CommodityProductArray.DE, *CommodityProductArray.BE, *CommodityProductArray.NL, *CommodityProductArray.FR, *CommodityProductArray.CH, *CommodityProductArray.ESTAT, *CommodityProductArray.OIL, *CommodityProductArray.COAL, *CommodityProductArray.EMISSIONS, *CommodityProductArray.ID3, ]
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ed8cd89bb23087f9709cd1b1a0461ae5bac2c6a0
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py
Python
forte/data/ontology/__init__.py
huzecong/forte
beae4e923c9a6873b582588972e6ec9919079271
[ "Apache-2.0" ]
null
null
null
forte/data/ontology/__init__.py
huzecong/forte
beae4e923c9a6873b582588972e6ec9919079271
[ "Apache-2.0" ]
null
null
null
forte/data/ontology/__init__.py
huzecong/forte
beae4e923c9a6873b582588972e6ec9919079271
[ "Apache-2.0" ]
null
null
null
from forte.data.ontology.top import * from forte.data.ontology.core import *
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py
Python
lockss_configuration/api/config_api.py
lockss/lockss-configuration-python
d645b42e0fdae5ccfcaf80b26c09218c1e1c9c94
[ "BSD-3-Clause" ]
null
null
null
lockss_configuration/api/config_api.py
lockss/lockss-configuration-python
d645b42e0fdae5ccfcaf80b26c09218c1e1c9c94
[ "BSD-3-Clause" ]
null
null
null
lockss_configuration/api/config_api.py
lockss/lockss-configuration-python
d645b42e0fdae5ccfcaf80b26c09218c1e1c9c94
[ "BSD-3-Clause" ]
null
null
null
# coding: utf-8 """ LOCKSS Configuration Service REST API API of the LOCKSS Configuration REST Service # noqa: E501 OpenAPI spec version: 1.0.0 Contact: lockss-support@lockss.org Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from lockss_configuration.api_client import ApiClient class ConfigApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_last_update_time(self, **kwargs): # noqa: E501 """Get the timestamp when the configuration was last updated # noqa: E501 Get the timestamp when the configuration was last updated # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_last_update_time(async=True) >>> result = thread.get() :param async bool :return: datetime If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_last_update_time_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_last_update_time_with_http_info(**kwargs) # noqa: E501 return data def get_last_update_time_with_http_info(self, **kwargs): # noqa: E501 """Get the timestamp when the configuration was last updated # noqa: E501 Get the timestamp when the configuration was last updated # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_last_update_time_with_http_info(async=True) >>> result = thread.get() :param async bool :return: datetime If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_last_update_time" % key ) params[key] = val del 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 # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/config/lastupdatetime', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='datetime', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_loaded_url_list(self, **kwargs): # noqa: E501 """Get the URLs from which the configuration was loaded # noqa: E501 Get the URLs from which the configuration was actually\\ \\ loaded, reflecting any failover to local copies # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_loaded_url_list(async=True) >>> result = thread.get() :param async bool :return: list[str] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_loaded_url_list_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_loaded_url_list_with_http_info(**kwargs) # noqa: E501 return data def get_loaded_url_list_with_http_info(self, **kwargs): # noqa: E501 """Get the URLs from which the configuration was loaded # noqa: E501 Get the URLs from which the configuration was actually\\ \\ loaded, reflecting any failover to local copies # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_loaded_url_list_with_http_info(async=True) >>> result = thread.get() :param async bool :return: list[str] If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_loaded_url_list" % key ) params[key] = val del 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 # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/config/loadedurls', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[str]', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_section_config(self, section_name, **kwargs): # noqa: E501 """Get the named configuration file # noqa: E501 Get the configuration file stored for a given name # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_section_config(section_name, async=True) >>> result = thread.get() :param async bool :param str section_name: The name of the section for which the configuration file\\ \\ is requested (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_section_config_with_http_info(section_name, **kwargs) # noqa: E501 else: (data) = self.get_section_config_with_http_info(section_name, **kwargs) # noqa: E501 return data def get_section_config_with_http_info(self, section_name, **kwargs): # noqa: E501 """Get the named configuration file # noqa: E501 Get the configuration file stored for a given name # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_section_config_with_http_info(section_name, async=True) >>> result = thread.get() :param async bool :param str section_name: The name of the section for which the configuration file\\ \\ is requested (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['section_name'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_section_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'section_name' is set if ('section_name' not in params or params['section_name'] is None): raise ValueError("Missing the required parameter `section_name` when calling `get_section_config`") # noqa: E501 collection_formats = {} path_params = {} if 'section_name' in params: path_params['sectionName'] = params['section_name'] # 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( ['multipart/form-data']) # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/config/file/{sectionName}', '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=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_url_config(self, url, **kwargs): # noqa: E501 """Get the configuration file for a URL # noqa: E501 Get the configuration file stored for a given URL # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_url_config(url, async=True) >>> result = thread.get() :param async bool :param str url: The URL for which the configuration is requested (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_url_config_with_http_info(url, **kwargs) # noqa: E501 else: (data) = self.get_url_config_with_http_info(url, **kwargs) # noqa: E501 return data def get_url_config_with_http_info(self, url, **kwargs): # noqa: E501 """Get the configuration file for a URL # noqa: E501 Get the configuration file stored for a given URL # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_url_config_with_http_info(url, async=True) >>> result = thread.get() :param async bool :param str url: The URL for which the configuration is requested (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['url'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_url_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'url' is set if ('url' not in params or params['url'] is None): raise ValueError("Missing the required parameter `url` when calling `get_url_config`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'url' in params: query_params.append(('url', params['url'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['multipart/form-data']) # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/config/url', '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=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def put_config(self, section_name, config_file, **kwargs): # noqa: E501 """Store the named configuration file # noqa: E501 Store the configuration file for a given name # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.put_config(section_name, config_file, async=True) >>> result = thread.get() :param async bool :param str section_name: The name of the section for which the configuration file\\ \\ is to be stored (required) :param config_file: The configuration file to be stored (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.put_config_with_http_info(section_name, config_file, **kwargs) # noqa: E501 else: (data) = self.put_config_with_http_info(section_name, config_file, **kwargs) # noqa: E501 return data def put_config_with_http_info(self, section_name, config_file, **kwargs): # noqa: E501 """Store the named configuration file # noqa: E501 Store the configuration file for a given name # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.put_config_with_http_info(section_name, config_file, async=True) >>> result = thread.get() :param async bool :param str section_name: The name of the section for which the configuration file\\ \\ is to be stored (required) :param config_file: The configuration file to be stored (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['section_name', 'config_file'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'section_name' is set if ('section_name' not in params or params['section_name'] is None): raise ValueError("Missing the required parameter `section_name` when calling `put_config`") # noqa: E501 # verify the required parameter 'config_file' is set if ('config_file' not in params or params['config_file'] is None): raise ValueError("Missing the required parameter `config_file` when calling `put_config`") # noqa: E501 collection_formats = {} path_params = {} if 'section_name' in params: path_params['sectionName'] = params['section_name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'config_file' in params: body_params = params['config_file'] # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/config/file/{sectionName}', 'PUT', 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=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def put_config_reload(self, **kwargs): # noqa: E501 """Request a configuration reload # noqa: E501 Request that the stored configuration is reloaded # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.put_config_reload(async=True) >>> result = thread.get() :param async bool :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.put_config_reload_with_http_info(**kwargs) # noqa: E501 else: (data) = self.put_config_reload_with_http_info(**kwargs) # noqa: E501 return data def put_config_reload_with_http_info(self, **kwargs): # noqa: E501 """Request a configuration reload # noqa: E501 Request that the stored configuration is reloaded # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.put_config_reload_with_http_info(async=True) >>> result = thread.get() :param async bool :return: None If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_config_reload" % key ) params[key] = val del 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 # 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 = ['basicAuth'] # noqa: E501 return self.api_client.call_api( '/config/reload', 'PUT', 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=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)
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8
edc46feccf390dfb3cf524aafa248ea21cd0430e
18,994
py
Python
texlive/file_creator.py
msys2/msys2-texlive
5c8c8ddd24193feebc7228016a57b0e91cc24856
[ "MIT" ]
2
2021-04-08T10:07:23.000Z
2021-08-19T01:11:49.000Z
texlive/file_creator.py
msys2/msys2-texlive
5c8c8ddd24193feebc7228016a57b0e91cc24856
[ "MIT" ]
14
2021-04-16T07:48:07.000Z
2021-10-30T07:29:20.000Z
texlive/file_creator.py
msys2/msys2-texlive
5c8c8ddd24193feebc7228016a57b0e91cc24856
[ "MIT" ]
null
null
null
import re import typing from pathlib import Path from string import Template from textwrap import dedent from .logger import logger from .requests_handler import retry_get default_lefthyphenmin = "2" default_righthyphenmin = "3" def create_fmts( pkg_infos: typing.Dict[ str, typing.Union[typing.Dict[str, typing.Union[str, list]]] ], filename_save: Path, ) -> Path: logger.info("Creating %s file", filename_save) key_value_search_regex = re.compile(r"(?P<key>\S*)=(?P<value>[\S]+)") quotes_search_regex = re.compile( r"((?<![\\])['\"])(?P<options>(?:.(?!(?<![\\])\1))*.?)\1" ) final_file = "" def parse_perl_string(temp: str) -> typing.Dict[str, str]: t_dict: typing.Dict[str, str] = {} for mat in key_value_search_regex.finditer(temp): if '"' not in mat.group("value"): t_dict[mat.group("key")] = mat.group("value") quotes_search = quotes_search_regex.search(temp) if quotes_search: t_dict["options"] = quotes_search.group("options") for i in {"name", "engine", "patterns", "options"}: if i not in t_dict: t_dict[i] = "-" return t_dict for pkg in pkg_infos: temp_pkg = pkg_infos[pkg] if "execute" in temp_pkg: temp = temp_pkg["execute"] if isinstance(temp, str): if "AddFormat" in temp: parsed_dict = parse_perl_string(temp) final_file += "{name} {engine} {patterns} {options}\n".format( **parsed_dict ) else: for each in temp: if "AddFormat" in each: parsed_dict = parse_perl_string(each) final_file += "{name} {engine} {patterns} {options}\n".format( **parsed_dict ) with filename_save.open("w", encoding="utf-8") as f: f.write(final_file) logger.info("Wrote %s", filename_save) return filename_save def create_maps( pkg_infos: typing.Dict[ str, typing.Union[typing.Dict[str, typing.Union[str, list]]] ], filename_save: Path, ) -> Path: logger.info("Creating %s file", filename_save) final_file = "" kanji_map_regex = re.compile(r"add(?P<final>KanjiMap[\s\S][^\n]*)") mixed_map_regex = re.compile(r"add(?P<final>MixedMap[\s\S][^\n]*)") map_regex = re.compile(r"add(?P<final>Map[\s\S][^\n]*)") def parse_string(temp: str): if "addMixedMap" in temp: res = mixed_map_regex.search(temp) if res: return res.group("final") elif "addMap" in temp: res = map_regex.search(temp) if res: return res.group("final") elif "addKanjiMap" in temp: res = kanji_map_regex.search(temp) if res: return res.group("final") for pkg in pkg_infos: temp_pkg = pkg_infos[pkg] if "execute" in temp_pkg: temp = temp_pkg["execute"] if isinstance(temp, str): if "addMap" in temp or "addMixedMap" in temp or "addKanjiMap" in temp: final_file += parse_string(temp) final_file += "\n" else: for each in temp: if ( "addMap" in each or "addMixedMap" in each or "addKanjiMap" in each ): final_file += parse_string(each) final_file += "\n" # let's sort the line temp_lines = final_file.split("\n") temp_lines.sort() final_file = "\n".join(temp_lines) final_file.strip() with filename_save.open("w", encoding="utf-8") as f: f.write(final_file) logger.info("Wrote %s", filename_save) return filename_save def create_language_def( pkg_infos: typing.Dict[ str, typing.Union[typing.Dict[str, typing.Union[str, list]]] ], filename_save: Path, ): """create_language_def This create language.def from the given :attr:`pkg_infos`. :attr:`pkg_infos` can be is from :func:`get_needed_packages_with_info`. Parameters ---------- pkg_infos The dict of packages from filename_save The name of the file to save. """ logger.info("Creating %s file", filename_save) key_value_search_regex = re.compile(r"(?P<key>\S*)=(?P<value>[\S]+)") final_file = "% test" # this is to avoid empty files. def parse_string(temp: str) -> typing.Dict[str, str]: t_dict: typing.Dict[str, str] = {} for mat in key_value_search_regex.finditer(temp): if '"' not in mat.group("value"): t_dict[mat.group("key")] = mat.group("value") for i in [ "name", "file", "file_patterns", "file_exceptions", "lefthyphenmin", "righthyphenmin", "synonyms", ]: if i not in t_dict: t_dict[i] = "" if t_dict["lefthyphenmin"] == "": t_dict["lefthyphenmin"] = default_lefthyphenmin if t_dict["righthyphenmin"] == "": t_dict["righthyphenmin"] = default_righthyphenmin return t_dict for pkg in pkg_infos: temp_pkg = pkg_infos[pkg] if "execute" in temp_pkg: temp = temp_pkg["execute"] if isinstance(temp, str): if "AddHyphen" in temp: final_file += f"% from {temp_pkg['name']}:\n" parsed_dict = parse_string(temp) final_file += Template( "\\addlanguage{$name}{$file}" "{}{$lefthyphenmin}{$righthyphenmin}\n", ).substitute(**parsed_dict) if parsed_dict["synonyms"]: synonyms = parsed_dict["synonyms"].split(",") for i in synonyms: parsed_dict["name"] = i final_file += Template( "\\addlanguage{$name}{$file}" "{}{$lefthyphenmin}{$righthyphenmin}\n", ).substitute(**parsed_dict) else: has_hypen = [True for each in temp if "AddHyphen" in each] if has_hypen: final_file += f"% from {temp_pkg['name']}:\n" for each in temp: if "AddHyphen" in each: parsed_dict = parse_string(each) final_file += Template( "\\addlanguage{$name}{$file}" "{}{$lefthyphenmin}{$righthyphenmin}\n" ).substitute(**parsed_dict) if parsed_dict["synonyms"]: synonyms = parsed_dict["synonyms"].split(",") for i in synonyms: parsed_dict["name"] = i final_file += Template( "\\addlanguage{$name}{$file}" "{}{$lefthyphenmin}{$righthyphenmin}\n" ).substitute(**parsed_dict) with filename_save.open("w", encoding="utf-8") as f: f.write(final_file) logger.info("Wrote %s", filename_save) return filename_save def create_language_dat( pkg_infos: typing.Dict[ str, typing.Union[typing.Dict[str, typing.Union[str, list]]] ], filename_save: Path, ): """This create language.dat from the given :attr:`pkg_infos`. :attr:`pkg_infos` can be is from :func:`get_needed_packages_with_info`. Parameters ---------- pkg_infos The dict of packages from filename_save The name of the file to save. """ logger.info("Creating %s file", filename_save) key_value_search_regex = re.compile(r"(?P<key>\S*)=(?P<value>[\S]+)") final_file = "% test" # this is to avoid empty files. def parse_string(temp: str) -> typing.Dict[str, str]: t_dict: typing.Dict[str, str] = {} for mat in key_value_search_regex.finditer(temp): if '"' not in mat.group("value"): t_dict[mat.group("key")] = mat.group("value") for i in [ "name", "file", "file_patterns", "file_exceptions", "lefthyphenmin", "righthyphenmin", "synonyms", ]: if i not in t_dict: t_dict[i] = "" return t_dict for pkg in pkg_infos: temp_pkg = pkg_infos[pkg] if "execute" in temp_pkg: temp = temp_pkg["execute"] if isinstance(temp, str): if "AddHyphen" in temp: final_file += f"% from {temp_pkg['name']}:\n" parsed_dict = parse_string(temp) final_file += Template( "$name $file\n", ).substitute(**parsed_dict) if parsed_dict["synonyms"]: synonyms = parsed_dict["synonyms"].split(",") for i in synonyms: parsed_dict["name"] = i final_file += Template("=$name\n").substitute(**parsed_dict) else: has_hypen = [True for each in temp if "AddHyphen" in each] if has_hypen: final_file += f"% from {temp_pkg['name']}:\n" for each in temp: if "AddHyphen" in each: parsed_dict = parse_string(each) final_file += Template( "$name $file\n", ).substitute(**parsed_dict) if parsed_dict["synonyms"]: synonyms = parsed_dict["synonyms"].split(",") for i in synonyms: parsed_dict["name"] = i final_file += Template("=$name\n").substitute( **parsed_dict ) with filename_save.open("w", encoding="utf-8") as f: f.write(final_file) logger.info("Wrote %s", filename_save) return filename_save def create_language_lua( pkg_infos: typing.Dict[ str, typing.Union[typing.Dict[str, typing.Union[str, list]]] ], filename_save: Path, ): """This create language.dat from the given :attr:`pkg_infos`. :attr:`pkg_infos` can be is from :func:`get_needed_packages_with_info`. Parameters ---------- pkg_infos The dict of packages from filename_save The name of the file to save. """ logger.info("Creating %s file", filename_save) key_value_search_regex = re.compile(r"(?P<key>\S*)=(?P<value>[\S]+)") quotes_search_regex = re.compile( r"((?<![\\])['\"])(?P<luaspecial>(?:.(?!(?<![\\])\1))*.?)\1" ) final_file = "-- test" # this is to avoid empty files. def parse_string(temp: str) -> typing.Dict[str, str]: t_dict: typing.Dict[str, str] = {} for mat in key_value_search_regex.finditer(temp): if '"' not in mat.group("value"): t_dict[mat.group("key")] = mat.group("value") quotes_search = quotes_search_regex.search(temp) if quotes_search: t_dict["luaspecial"] = quotes_search.group("luaspecial") for i in [ "name", "file", "file_patterns", "file_exceptions", "lefthyphenmin", "righthyphenmin", "synonyms", "luaspecial", ]: if i not in t_dict: t_dict[i] = "" if t_dict["lefthyphenmin"] == "": t_dict["lefthyphenmin"] = default_lefthyphenmin if t_dict["righthyphenmin"] == "": t_dict["righthyphenmin"] = default_righthyphenmin return t_dict for pkg in pkg_infos: temp_pkg = pkg_infos[pkg] if "execute" in temp_pkg: temp = temp_pkg["execute"] if isinstance(temp, str): if "AddHyphen" in temp: final_file += f"-- from {temp_pkg['name']}:\n" parsed_dict = parse_string(temp) if parsed_dict["synonyms"]: parsed_dict[ "synonyms" ] = f"""'{"', '".join(parsed_dict['synonyms'].split(','))}'""" if not parsed_dict["luaspecial"]: final_file += Template( dedent( """\ ['$name'] = { loader = '$file', lefthyphenmin = $lefthyphenmin, righthyphenmin = $righthyphenmin, synonyms = { $synonyms }, patterns = '$file_patterns', hyphenation = '$file_exceptions', }, """ ), ).substitute(**parsed_dict) else: print(parsed_dict["luaspecial"]) final_file += Template( dedent( """\ ['$name'] = { loader = '$file', lefthyphenmin = $lefthyphenmin, righthyphenmin = $righthyphenmin, synonyms = { $synonyms }, patterns = '$file_patterns', hyphenation = '$file_exceptions', special = '$luaspecial', }, """ ), ).substitute(**parsed_dict) else: has_hypen = [True for each in temp if "AddHyphen" in each] if has_hypen: final_file += f"-- from {temp_pkg['name']}:\n" for each in temp: if "AddHyphen" in each: parsed_dict = parse_string(each) if parsed_dict["synonyms"]: parsed_dict["synonyms"] = ( "'" f"""{"', '".join(parsed_dict['synonyms'].split(','))}""" "'" ) if not parsed_dict["luaspecial"]: final_file += Template( dedent( """\ ['$name'] = { loader = '$file', lefthyphenmin = $lefthyphenmin, righthyphenmin = $righthyphenmin, synonyms = { $synonyms }, patterns = '$file_patterns', hyphenation = '$file_exceptions', }, """ ), ).substitute(**parsed_dict) else: print(parsed_dict["luaspecial"]) final_file += Template( dedent( """\ ['$name'] = { loader = '$file', lefthyphenmin = $lefthyphenmin, righthyphenmin = $righthyphenmin, synonyms = { $synonyms }, patterns = '$file_patterns', hyphenation = '$file_exceptions', special = '$luaspecial', }, """ ), ).substitute(**parsed_dict) with filename_save.open("w", encoding="utf-8") as f: f.write(final_file) logger.info("Wrote %s", filename_save) return filename_save def create_linked_scripts( pkg_infos: typing.Dict[ str, typing.Union[typing.Dict[str, typing.Union[str, list]]] ], filename_save: Path, all_packages: typing.Dict[str, typing.Dict[str, typing.Union[list, str]]], texlive_tlpdb_split: typing.List[str], ): """This create ``<package-name>.scripts`` from the given :attr:`pkg_infos`. :attr:`pkg_infos` can be is from :func:`get_needed_packages_with_info`. ``<package-name>.scripts`` will contain the exectuable to be created when packaging, which should be sourceable in a bash shell. Parameters ---------- pkg_infos The dict of packages from filename_save The name of the file to save. all_packages A list of all package from :func:`get_all_packages` texlive_tlpdb_split A list of contents in ``texlive.tlpdb`` from :func:`split_texlive_tlpdb_into_para`. """ logger.info("Creating %s file", filename_save) final_file = "# This file contains linked scripts list for the package.\n" final_file += 'linked_scripts="' find_script_regex = re.compile( r"^( *)texmf-dist\/scripts\/(?P<script>(?P<script_name>[\/\w\-]*)\.(?P<script_ext>[\/\w\-]*))", # noqa: E501 re.MULTILINE, ) # See https://github.com/msys2/msys2-texlive/issues/10 for discussions # get the `scripts.lst`, iter through `texlive.tlpdb` and if it exists add it # or else skip. all_scripts = retry_get( "https://github.com/TeX-Live/texlive-source/raw/trunk/texk/texlive/linked_scripts/scripts.lst" # noqa: E501 ).text.split("\n") for pkg in pkg_infos: for n, all_pkg_iter in enumerate(all_packages): if pkg == all_pkg_iter: temp_str = texlive_tlpdb_split[n] for script in find_script_regex.finditer(temp_str): if script.group("script") in all_scripts: final_file += script.group("script") + "\n" break final_file += '"' with filename_save.open("w", encoding="utf-8", newline="\n") as f: f.write(final_file) logger.info("Wrote %s", filename_save)
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18,994
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0
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0
0
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7
edf55aac360921b8e62bcab171ccafdeefe29cd1
2,150
py
Python
tests/test_performance.py
brechin/pyrollout
cf95ef6d192a56494c9e0d6a4294cdfa608d40a6
[ "MIT" ]
7
2015-06-08T11:48:39.000Z
2021-03-04T06:25:41.000Z
tests/test_performance.py
brechin/pyrollout
cf95ef6d192a56494c9e0d6a4294cdfa608d40a6
[ "MIT" ]
2
2015-06-18T13:08:17.000Z
2017-04-26T02:54:13.000Z
tests/test_performance.py
brechin/pyrollout
cf95ef6d192a56494c9e0d6a4294cdfa608d40a6
[ "MIT" ]
6
2015-06-16T18:00:49.000Z
2020-03-24T12:06:37.000Z
import timeit import unittest class TestBasicFunctions(unittest.TestCase): def test_add_feature_performance(self): print timeit.timeit( "rollout.add_feature(Feature('feature_for_all', groups=['ALL']))", setup='from pyrollout import Rollout; from pyrollout.feature import Feature; rollout = Rollout()', number=100000) def test_can_none_performance(self): print timeit.timeit( "rollout.can({'id':1}, 'feature_for_none')", setup='from pyrollout import Rollout; from pyrollout.feature import Feature; rollout = Rollout();' "rollout.add_feature(Feature('feature_for_none', groups=['NONE']))", number=100000) def test_can_all_performance(self): print timeit.timeit( "rollout.can({'id':1}, 'feature_for_all')", setup='from pyrollout import Rollout; from pyrollout.feature import Feature; rollout = Rollout();' "rollout.add_feature(Feature('feature_for_all', groups=['ALL']))", number=100000) def test_can_group_performance(self): print timeit.timeit( "rollout.can({'id':1, 'groups': ['foo', 'bar']}, 'feature_for_group')", setup='from pyrollout import Rollout; from pyrollout.feature import Feature; rollout = Rollout();' "rollout.add_feature(Feature('feature_for_group', groups=['foo']))", number=100000) def test_can_user_performance(self): print timeit.timeit( "rollout.can({'id':1}, 'feature_for_me')", setup='from pyrollout import Rollout; from pyrollout.feature import Feature; rollout = Rollout();' "rollout.add_feature(Feature('feature_for_me', users=[{'id': 1}]))", number=100000) def test_can_pct_performance(self): print timeit.timeit( "rollout.can({'id':1}, 'feature_for_pct')", setup='from pyrollout import Rollout; from pyrollout.feature import Feature; rollout = Rollout();' "rollout.add_feature(Feature('feature_for_pct', percentage=100))", number=100000)
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0.73644
0.73644
0.73644
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0.027489
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2,150
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7
b62e33630eec90d0c9990b9b017559577b4179dc
60
py
Python
weathernet/__init__.py
nickjlang/PointCloudDenoising
bc5833165f1da5ea0813158e0ce5c2dda01e500b
[ "MIT" ]
1
2022-03-24T18:38:49.000Z
2022-03-24T18:38:49.000Z
weathernet/__init__.py
arincbulgur/pytorch-WeatherNet
8a39326ad8c2150ac5cb4dfa9b7ae2a4ef4a91e8
[ "MIT" ]
null
null
null
weathernet/__init__.py
arincbulgur/pytorch-WeatherNet
8a39326ad8c2150ac5cb4dfa9b7ae2a4ef4a91e8
[ "MIT" ]
null
null
null
from weathernet import datasets from weathernet import model
30
31
0.883333
8
60
6.625
0.625
0.528302
0.754717
0
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0.116667
60
2
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1
0
1
0
0
7
b63fd50d728e798d865ab95ed644d768f549a550
187
py
Python
core/src/zeit/workflow/tests/__init__.py
rickdg/vivi
16134ac954bf8425646d4ad47bdd1f372e089355
[ "BSD-3-Clause" ]
5
2019-05-16T09:51:29.000Z
2021-05-31T09:30:03.000Z
core/src/zeit/workflow/tests/__init__.py
rickdg/vivi
16134ac954bf8425646d4ad47bdd1f372e089355
[ "BSD-3-Clause" ]
107
2019-05-24T12:19:02.000Z
2022-03-23T15:05:56.000Z
core/src/zeit/workflow/tests/__init__.py
rickdg/vivi
16134ac954bf8425646d4ad47bdd1f372e089355
[ "BSD-3-Clause" ]
3
2020-08-14T11:01:17.000Z
2022-01-08T17:32:19.000Z
import zope.deferredimport zope.deferredimport.define( product_config='zeit.workflow.testing:product_config', WorkflowScriptsLayer='zeit.workflow.testing:WorkflowScriptsLayer')
26.714286
70
0.823529
18
187
8.444444
0.555556
0.236842
0.25
0
0
0
0
0
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0
0.080214
187
6
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31.166667
0.883721
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0.417112
0.417112
0
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true
0
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1
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0
0
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7
b6548b088a95cf5f0ab41891dcbacdb4de82e9b8
143
py
Python
importall.py
QuditWolf/zoom-whatsapp-adhesive
84b1c78be1f393b7b157e13cf1d672c27df74074
[ "CC0-1.0" ]
1
2022-03-30T09:55:09.000Z
2022-03-30T09:55:09.000Z
importall.py
ItsSypher/zoom-whatsapp-adhesive
84b1c78be1f393b7b157e13cf1d672c27df74074
[ "CC0-1.0" ]
null
null
null
importall.py
ItsSypher/zoom-whatsapp-adhesive
84b1c78be1f393b7b157e13cf1d672c27df74074
[ "CC0-1.0" ]
2
2021-07-29T20:18:44.000Z
2021-10-13T03:57:19.000Z
from modules.start import * from modules.getmsg import * from modules.getsch import * from modules.timechk import * from modules.notif import *
28.6
29
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20
143
5.7
0.4
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0.596491
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0.132867
143
5
30
28.6
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0
0
0
1
0
1
0
1
0
0
7
b663509111b7a68a9b0f5e46980b5ac763582515
58,115
py
Python
fhir/resources/tests/test_codesystem.py
mmabey/fhir.resources
cc73718e9762c04726cd7de240c8f2dd5313cbe1
[ "BSD-3-Clause" ]
null
null
null
fhir/resources/tests/test_codesystem.py
mmabey/fhir.resources
cc73718e9762c04726cd7de240c8f2dd5313cbe1
[ "BSD-3-Clause" ]
null
null
null
fhir/resources/tests/test_codesystem.py
mmabey/fhir.resources
cc73718e9762c04726cd7de240c8f2dd5313cbe1
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- """ Profile: http://hl7.org/fhir/StructureDefinition/CodeSystem Release: R4 Version: 4.0.1 Build ID: 9346c8cc45 Last updated: 2019-11-01T09:29:23.356+11:00 """ import io import json import os import unittest import pytest from .. import codesystem from ..fhirdate import FHIRDate from .fixtures import force_bytes @pytest.mark.usefixtures("base_settings") class CodeSystemTests(unittest.TestCase): def instantiate_from(self, filename): datadir = os.environ.get("FHIR_UNITTEST_DATADIR") or "" with io.open(os.path.join(datadir, filename), "r", encoding="utf-8") as handle: js = json.load(handle) self.assertEqual("CodeSystem", js["resourceType"]) return codesystem.CodeSystem(js) def testCodeSystem1(self): inst = self.instantiate_from("codesystem-map-model-mode.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem1(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem1(inst2) def implCodeSystem1(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("source")) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes( "This structure describes an instance passed to the mapping engine that is used a source of data." ), ) self.assertEqual( force_bytes(inst.concept[0].display), force_bytes("Source Structure Definition"), ) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("queried")) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes( "This structure describes an instance that the mapping engine may ask for that is used a source of data." ), ) self.assertEqual( force_bytes(inst.concept[1].display), force_bytes("Queried Structure Definition"), ) self.assertEqual(force_bytes(inst.concept[2].code), force_bytes("target")) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes( "This structure describes an instance passed to the mapping engine that is used a target of data." ), ) self.assertEqual( force_bytes(inst.concept[2].display), force_bytes("Target Structure Definition"), ) self.assertEqual(force_bytes(inst.concept[3].code), force_bytes("produced")) self.assertEqual( force_bytes(inst.concept[3].definition), force_bytes( "This structure describes an instance that the mapping engine may ask to create that is used a target of data." ), ) self.assertEqual( force_bytes(inst.concept[3].display), force_bytes("Produced Structure Definition"), ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].system), force_bytes("email") ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].value), force_bytes("fhir@lists.hl7.org"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date) self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00") self.assertEqual( force_bytes(inst.description), force_bytes("How the referenced structure is used in this mapping."), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("fhir")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual( force_bytes(inst.extension[1].valueCode), force_bytes("trial-use") ) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[2].valueInteger, 2) self.assertEqual(force_bytes(inst.id), force_bytes("map-model-mode")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.676"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual(force_bytes(inst.name), force_bytes("StructureMapModelMode")) self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)")) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual(force_bytes(inst.title), force_bytes("StructureMapModelMode")) self.assertEqual( force_bytes(inst.url), force_bytes("http://hl7.org/fhir/map-model-mode") ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/map-model-mode"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem2(self): inst = self.instantiate_from("codesystem-special-values.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem2(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem2(inst2) def implCodeSystem2(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("true")) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes("Boolean true.") ) self.assertEqual(force_bytes(inst.concept[0].display), force_bytes("true")) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("false")) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes("Boolean false.") ) self.assertEqual(force_bytes(inst.concept[1].display), force_bytes("false")) self.assertEqual(force_bytes(inst.concept[2].code), force_bytes("trace")) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes( "The content is greater than zero, but too small to be quantified." ), ) self.assertEqual( force_bytes(inst.concept[2].display), force_bytes("Trace Amount Detected") ) self.assertEqual(force_bytes(inst.concept[3].code), force_bytes("sufficient")) self.assertEqual( force_bytes(inst.concept[3].definition), force_bytes( "The specific quantity is not known, but is known to be non-zero and is not specified because it makes up the bulk of the material." ), ) self.assertEqual( force_bytes(inst.concept[3].display), force_bytes("Sufficient Quantity") ) self.assertEqual( force_bytes(inst.concept[3].extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/codesystem-concept-comments" ), ) self.assertEqual( force_bytes(inst.concept[3].extension[0].valueString), force_bytes( "used in formulations (e.g. 'Add 10mg of ingredient X, 50mg of ingredient Y, and sufficient quantity of water to 100mL.' This code would be used to express the quantity of water. )" ), ) self.assertEqual(force_bytes(inst.concept[4].code), force_bytes("withdrawn")) self.assertEqual( force_bytes(inst.concept[4].definition), force_bytes("The value is no longer available."), ) self.assertEqual( force_bytes(inst.concept[4].display), force_bytes("Value Withdrawn") ) self.assertEqual(force_bytes(inst.concept[5].code), force_bytes("nil-known")) self.assertEqual( force_bytes(inst.concept[5].definition), force_bytes("The are no known applicable values in this context."), ) self.assertEqual(force_bytes(inst.concept[5].display), force_bytes("Nil Known")) self.assertEqual( force_bytes(inst.concept[5].extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/codesystem-concept-comments" ), ) self.assertEqual( force_bytes(inst.concept[5].extension[0].valueString), force_bytes("The existence of this subject to review"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date) self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00") self.assertEqual( force_bytes(inst.description), force_bytes( "A set of generally useful codes defined so they can be included in value sets." ), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("fhir")) self.assertEqual(force_bytes(inst.id), force_bytes("special-values")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.1049"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual(force_bytes(inst.name), force_bytes("SpecialValues")) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("extensions")) self.assertEqual(force_bytes(inst.title), force_bytes("SpecialValues")) self.assertEqual( force_bytes(inst.url), force_bytes("http://terminology.hl7.org/CodeSystem/special-values"), ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/special-values"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem3(self): inst = self.instantiate_from("codesystem-communication-not-done-reason.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem3(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem3(inst2) def implCodeSystem3(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("unknown")) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes("The communication was not done due to an unknown reason."), ) self.assertEqual(force_bytes(inst.concept[0].display), force_bytes("Unknown")) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("system-error")) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes("The communication was not done due to a system error."), ) self.assertEqual( force_bytes(inst.concept[1].display), force_bytes("System Error") ) self.assertEqual( force_bytes(inst.concept[2].code), force_bytes("invalid-phone-number") ) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes( "The communication was not done due to an invalid phone number." ), ) self.assertEqual( force_bytes(inst.concept[2].display), force_bytes("Invalid Phone Number") ) self.assertEqual( force_bytes(inst.concept[3].code), force_bytes("recipient-unavailable") ) self.assertEqual( force_bytes(inst.concept[3].definition), force_bytes( "The communication was not done due to the recipient being unavailable." ), ) self.assertEqual( force_bytes(inst.concept[3].display), force_bytes("Recipient Unavailable") ) self.assertEqual( force_bytes(inst.concept[4].code), force_bytes("family-objection") ) self.assertEqual( force_bytes(inst.concept[4].definition), force_bytes("The communication was not done due to a family objection."), ) self.assertEqual( force_bytes(inst.concept[4].display), force_bytes("Family Objection") ) self.assertEqual( force_bytes(inst.concept[5].code), force_bytes("patient-objection") ) self.assertEqual( force_bytes(inst.concept[5].definition), force_bytes("The communication was not done due to a patient objection."), ) self.assertEqual( force_bytes(inst.concept[5].display), force_bytes("Patient Objection") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].system), force_bytes("email") ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].value), force_bytes("fhir@lists.hl7.org"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date) self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00") self.assertEqual( force_bytes(inst.description), force_bytes("Codes for the reason why a communication did not happen."), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("pc")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual(force_bytes(inst.extension[1].valueCode), force_bytes("draft")) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[2].valueInteger, 1) self.assertEqual( force_bytes(inst.id), force_bytes("communication-not-done-reason") ) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.1077"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual( force_bytes(inst.name), force_bytes("CommunicationNotDoneReason") ) self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)")) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual( force_bytes(inst.title), force_bytes("CommunicationNotDoneReason") ) self.assertEqual( force_bytes(inst.url), force_bytes( "http://terminology.hl7.org/CodeSystem/communication-not-done-reason" ), ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/communication-not-done-reason"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem4(self): inst = self.instantiate_from("codesystem-codesystem-hierarchy-meaning.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem4(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem4(inst2) def implCodeSystem4(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("grouped-by")) self.assertEqual( force_bytes(inst.concept[0].display), force_bytes("Grouped By") ) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("is-a")) self.assertEqual(force_bytes(inst.concept[1].display), force_bytes("Is-A")) self.assertEqual(force_bytes(inst.concept[2].code), force_bytes("part-of")) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes( "Child elements list the individual parts of a composite whole (e.g. body site)." ), ) self.assertEqual(force_bytes(inst.concept[2].display), force_bytes("Part Of")) self.assertEqual( force_bytes(inst.concept[3].code), force_bytes("classified-with") ) self.assertEqual( force_bytes(inst.concept[3].display), force_bytes("Classified With") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].system), force_bytes("email") ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].value), force_bytes("fhir@lists.hl7.org"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date) self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00") self.assertEqual( force_bytes(inst.description), force_bytes("The meaning of the hierarchy of concepts in a code system."), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("vocab")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual( force_bytes(inst.extension[1].valueCode), force_bytes("normative") ) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-normative-version" ), ) self.assertEqual(force_bytes(inst.extension[2].valueCode), force_bytes("4.0.0")) self.assertEqual( force_bytes(inst.extension[3].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[3].valueInteger, 5) self.assertEqual( force_bytes(inst.id), force_bytes("codesystem-hierarchy-meaning") ) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.785"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual( force_bytes(inst.name), force_bytes("CodeSystemHierarchyMeaning") ) self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)")) self.assertEqual(force_bytes(inst.status), force_bytes("active")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual( force_bytes(inst.title), force_bytes("CodeSystemHierarchyMeaning") ) self.assertEqual( force_bytes(inst.url), force_bytes("http://hl7.org/fhir/codesystem-hierarchy-meaning"), ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/codesystem-hierarchy-meaning"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem5(self): inst = self.instantiate_from( "codesystem-medicationrequest-course-of-therapy.json" ) self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem5(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem5(inst2) def implCodeSystem5(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("continuous")) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes( "A medication which is expected to be continued beyond the present order and which the patient should be assumed to be taking unless explicitly stopped." ), ) self.assertEqual( force_bytes(inst.concept[0].display), force_bytes("Continuous long term therapy"), ) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("acute")) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes( "A medication which the patient is only expected to consume for the duration of the current order and which is not expected to be renewed." ), ) self.assertEqual( force_bytes(inst.concept[1].display), force_bytes("Short course (acute) therapy"), ) self.assertEqual(force_bytes(inst.concept[2].code), force_bytes("seasonal")) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes( "A medication which is expected to be used on a part time basis at certain times of the year" ), ) self.assertEqual(force_bytes(inst.concept[2].display), force_bytes("Seasonal")) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual( force_bytes(inst.description), force_bytes("MedicationRequest Course of Therapy Codes"), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("phx")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual(force_bytes(inst.extension[1].valueCode), force_bytes("draft")) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[2].valueInteger, 1) self.assertEqual( force_bytes(inst.id), force_bytes("medicationrequest-course-of-therapy") ) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.1327"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual( force_bytes(inst.meta.profile[0]), force_bytes("http://hl7.org/fhir/StructureDefinition/shareablecodesystem"), ) self.assertEqual( force_bytes(inst.name), force_bytes("medicationRequest Course of Therapy Codes"), ) self.assertEqual(force_bytes(inst.publisher), force_bytes("FHIR Project team")) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual( force_bytes(inst.title), force_bytes("Medication request course of therapy codes"), ) self.assertEqual( force_bytes(inst.url), force_bytes( "http://terminology.hl7.org/CodeSystem/medicationrequest-course-of-therapy" ), ) self.assertEqual( force_bytes(inst.valueSet), force_bytes( "http://hl7.org/fhir/ValueSet/medicationrequest-course-of-therapy" ), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem6(self): inst = self.instantiate_from("codesystem-audit-event-outcome.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem6(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem6(inst2) def implCodeSystem6(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("0")) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes( "The operation completed successfully (whether with warnings or not)." ), ) self.assertEqual(force_bytes(inst.concept[0].display), force_bytes("Success")) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("4")) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes( "The action was not successful due to some kind of minor failure (often equivalent to an HTTP 400 response)." ), ) self.assertEqual( force_bytes(inst.concept[1].display), force_bytes("Minor failure") ) self.assertEqual(force_bytes(inst.concept[2].code), force_bytes("8")) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes( "The action was not successful due to some kind of unexpected error (often equivalent to an HTTP 500 response)." ), ) self.assertEqual( force_bytes(inst.concept[2].display), force_bytes("Serious failure") ) self.assertEqual(force_bytes(inst.concept[3].code), force_bytes("12")) self.assertEqual( force_bytes(inst.concept[3].definition), force_bytes( "An error of such magnitude occurred that the system is no longer available for use (i.e. the system died)." ), ) self.assertEqual( force_bytes(inst.concept[3].display), force_bytes("Major failure") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].system), force_bytes("email") ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].value), force_bytes("fhir@lists.hl7.org"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date) self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00") self.assertEqual( force_bytes(inst.description), force_bytes("Indicates whether the event succeeded or failed."), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("sec")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual( force_bytes(inst.extension[1].valueCode), force_bytes("trial-use") ) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[2].valueInteger, 3) self.assertEqual(force_bytes(inst.id), force_bytes("audit-event-outcome")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.455"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual(force_bytes(inst.name), force_bytes("AuditEventOutcome")) self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)")) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual(force_bytes(inst.title), force_bytes("AuditEventOutcome")) self.assertEqual( force_bytes(inst.url), force_bytes("http://hl7.org/fhir/audit-event-outcome"), ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/audit-event-outcome"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem7(self): inst = self.instantiate_from("codesystem-contract-subtype.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem7(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem7(inst2) def implCodeSystem7(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual( force_bytes(inst.concept[0].code), force_bytes("disclosure-ca") ) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes("Canadian health information disclosure policy."), ) self.assertEqual( force_bytes(inst.concept[0].display), force_bytes("Disclosure-CA") ) self.assertEqual( force_bytes(inst.concept[1].code), force_bytes("disclosure-us") ) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes("United States health information disclosure policy."), ) self.assertEqual( force_bytes(inst.concept[1].display), force_bytes("Disclosure-US") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual( force_bytes(inst.copyright), force_bytes("This is an example set.") ) self.assertEqual( force_bytes(inst.description), force_bytes("This value set includes sample Contract Subtype codes."), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("fm")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual(force_bytes(inst.extension[1].valueCode), force_bytes("draft")) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[2].valueInteger, 1) self.assertEqual(force_bytes(inst.id), force_bytes("contract-subtype")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.1198"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual( force_bytes(inst.meta.profile[0]), force_bytes("http://hl7.org/fhir/StructureDefinition/shareablecodesystem"), ) self.assertEqual(force_bytes(inst.name), force_bytes("ContractSubtypeCodes")) self.assertEqual( force_bytes(inst.publisher), force_bytes("Financial Management") ) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual(force_bytes(inst.title), force_bytes("Contract Subtype Codes")) self.assertEqual( force_bytes(inst.url), force_bytes("http://terminology.hl7.org/CodeSystem/contractsubtypecodes"), ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/contract-subtype"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem8(self): inst = self.instantiate_from("codesystem-map-transform.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem8(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem8(inst2) def implCodeSystem8(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("create")) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes( "create(type : string) - type is passed through to the application on the standard API, and must be known by it." ), ) self.assertEqual(force_bytes(inst.concept[0].display), force_bytes("create")) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("copy")) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes("copy(source).") ) self.assertEqual(force_bytes(inst.concept[1].display), force_bytes("copy")) self.assertEqual(force_bytes(inst.concept[2].code), force_bytes("truncate")) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes("truncate(source, length) - source must be stringy type."), ) self.assertEqual(force_bytes(inst.concept[2].display), force_bytes("truncate")) self.assertEqual(force_bytes(inst.concept[3].code), force_bytes("escape")) self.assertEqual( force_bytes(inst.concept[3].definition), force_bytes( "escape(source, fmt1, fmt2) - change source from one kind of escaping to another (plain, java, xml, json). note that this is for when the string itself is escaped." ), ) self.assertEqual(force_bytes(inst.concept[3].display), force_bytes("escape")) self.assertEqual(force_bytes(inst.concept[4].code), force_bytes("cast")) self.assertEqual( force_bytes(inst.concept[4].definition), force_bytes( "cast(source, type?) - case source from one type to another. target type can be left as implicit if there is one and only one target type known." ), ) self.assertEqual(force_bytes(inst.concept[4].display), force_bytes("cast")) self.assertEqual(force_bytes(inst.concept[5].code), force_bytes("append")) self.assertEqual( force_bytes(inst.concept[5].definition), force_bytes("append(source...) - source is element or string."), ) self.assertEqual(force_bytes(inst.concept[5].display), force_bytes("append")) self.assertEqual(force_bytes(inst.concept[6].code), force_bytes("translate")) self.assertEqual( force_bytes(inst.concept[6].definition), force_bytes("translate(source, uri_of_map) - use the translate operation."), ) self.assertEqual(force_bytes(inst.concept[6].display), force_bytes("translate")) self.assertEqual(force_bytes(inst.concept[7].code), force_bytes("reference")) self.assertEqual( force_bytes(inst.concept[7].definition), force_bytes( "reference(source : object) - return a string that references the provided tree properly." ), ) self.assertEqual(force_bytes(inst.concept[7].display), force_bytes("reference")) self.assertEqual(force_bytes(inst.concept[8].code), force_bytes("dateOp")) self.assertEqual( force_bytes(inst.concept[8].definition), force_bytes("Perform a date operation. *Parameters to be documented*."), ) self.assertEqual(force_bytes(inst.concept[8].display), force_bytes("dateOp")) self.assertEqual(force_bytes(inst.concept[9].code), force_bytes("uuid")) self.assertEqual( force_bytes(inst.concept[9].definition), force_bytes("Generate a random UUID (in lowercase). No Parameters."), ) self.assertEqual(force_bytes(inst.concept[9].display), force_bytes("uuid")) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].system), force_bytes("email") ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].value), force_bytes("fhir@lists.hl7.org"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date) self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00") self.assertEqual( force_bytes(inst.description), force_bytes("How data is copied/created.") ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("fhir")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual( force_bytes(inst.extension[1].valueCode), force_bytes("trial-use") ) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[2].valueInteger, 2) self.assertEqual(force_bytes(inst.id), force_bytes("map-transform")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.682"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual(force_bytes(inst.name), force_bytes("StructureMapTransform")) self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)")) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual(force_bytes(inst.title), force_bytes("StructureMapTransform")) self.assertEqual( force_bytes(inst.url), force_bytes("http://hl7.org/fhir/map-transform") ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/map-transform"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem9(self): inst = self.instantiate_from("codesystem-imagingstudy-status.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem9(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem9(inst2) def implCodeSystem9(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("registered")) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes( "The existence of the imaging study is registered, but there is nothing yet available." ), ) self.assertEqual( force_bytes(inst.concept[0].display), force_bytes("Registered") ) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("available")) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes( "At least one instance has been associated with this imaging study." ), ) self.assertEqual(force_bytes(inst.concept[1].display), force_bytes("Available")) self.assertEqual(force_bytes(inst.concept[2].code), force_bytes("cancelled")) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes( 'The imaging study is unavailable because the imaging study was not started or not completed (also sometimes called "aborted").' ), ) self.assertEqual(force_bytes(inst.concept[2].display), force_bytes("Cancelled")) self.assertEqual( force_bytes(inst.concept[3].code), force_bytes("entered-in-error") ) self.assertEqual( force_bytes(inst.concept[3].display), force_bytes("Entered in Error") ) self.assertEqual(force_bytes(inst.concept[4].code), force_bytes("unknown")) self.assertEqual(force_bytes(inst.concept[4].display), force_bytes("Unknown")) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].system), force_bytes("email") ) self.assertEqual( force_bytes(inst.contact[0].telecom[1].value), force_bytes("fhir@lists.hl7.org"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual(inst.date.date, FHIRDate("2019-11-01T09:29:23+11:00").date) self.assertEqual(inst.date.as_json(), "2019-11-01T09:29:23+11:00") self.assertEqual( force_bytes(inst.description), force_bytes("The status of the ImagingStudy."), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("ii")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual( force_bytes(inst.extension[1].valueCode), force_bytes("trial-use") ) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[2].valueInteger, 3) self.assertEqual(force_bytes(inst.id), force_bytes("imagingstudy-status")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.991"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual(force_bytes(inst.name), force_bytes("ImagingStudyStatus")) self.assertEqual(force_bytes(inst.publisher), force_bytes("HL7 (FHIR Project)")) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual(force_bytes(inst.title), force_bytes("ImagingStudyStatus")) self.assertEqual( force_bytes(inst.url), force_bytes("http://hl7.org/fhir/imagingstudy-status"), ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/imagingstudy-status"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1")) def testCodeSystem10(self): inst = self.instantiate_from("codesystem-benefit-type.json") self.assertIsNotNone(inst, "Must have instantiated a CodeSystem instance") self.implCodeSystem10(inst) js = inst.as_json() self.assertEqual("CodeSystem", js["resourceType"]) inst2 = codesystem.CodeSystem(js) self.implCodeSystem10(inst2) def implCodeSystem10(self, inst): self.assertTrue(inst.caseSensitive) self.assertEqual(force_bytes(inst.concept[0].code), force_bytes("benefit")) self.assertEqual( force_bytes(inst.concept[0].definition), force_bytes("Maximum benefit allowable."), ) self.assertEqual(force_bytes(inst.concept[0].display), force_bytes("Benefit")) self.assertEqual(force_bytes(inst.concept[1].code), force_bytes("deductible")) self.assertEqual( force_bytes(inst.concept[1].definition), force_bytes("Cost to be incurred before benefits are applied"), ) self.assertEqual( force_bytes(inst.concept[1].display), force_bytes("Deductible") ) self.assertEqual(force_bytes(inst.concept[2].code), force_bytes("visit")) self.assertEqual( force_bytes(inst.concept[2].definition), force_bytes("Service visit") ) self.assertEqual(force_bytes(inst.concept[2].display), force_bytes("Visit")) self.assertEqual(force_bytes(inst.concept[3].code), force_bytes("room")) self.assertEqual( force_bytes(inst.concept[3].definition), force_bytes("Type of room") ) self.assertEqual(force_bytes(inst.concept[3].display), force_bytes("Room")) self.assertEqual(force_bytes(inst.concept[4].code), force_bytes("copay")) self.assertEqual( force_bytes(inst.concept[4].definition), force_bytes("Copayment per service"), ) self.assertEqual( force_bytes(inst.concept[4].display), force_bytes("Copayment per service") ) self.assertEqual( force_bytes(inst.concept[5].code), force_bytes("copay-percent") ) self.assertEqual( force_bytes(inst.concept[5].definition), force_bytes("Copayment percentage per service"), ) self.assertEqual( force_bytes(inst.concept[5].display), force_bytes("Copayment Percent per service"), ) self.assertEqual( force_bytes(inst.concept[6].code), force_bytes("copay-maximum") ) self.assertEqual( force_bytes(inst.concept[6].definition), force_bytes("Copayment maximum per service"), ) self.assertEqual( force_bytes(inst.concept[6].display), force_bytes("Copayment maximum per service"), ) self.assertEqual(force_bytes(inst.concept[7].code), force_bytes("vision-exam")) self.assertEqual( force_bytes(inst.concept[7].definition), force_bytes("Vision Exam") ) self.assertEqual( force_bytes(inst.concept[7].display), force_bytes("Vision Exam") ) self.assertEqual( force_bytes(inst.concept[8].code), force_bytes("vision-glasses") ) self.assertEqual( force_bytes(inst.concept[8].definition), force_bytes("Frames and lenses") ) self.assertEqual( force_bytes(inst.concept[8].display), force_bytes("Vision Glasses") ) self.assertEqual( force_bytes(inst.concept[9].code), force_bytes("vision-contacts") ) self.assertEqual( force_bytes(inst.concept[9].definition), force_bytes("Contact Lenses") ) self.assertEqual( force_bytes(inst.concept[9].display), force_bytes("Vision Contacts Coverage"), ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].system), force_bytes("url") ) self.assertEqual( force_bytes(inst.contact[0].telecom[0].value), force_bytes("http://hl7.org/fhir"), ) self.assertEqual(force_bytes(inst.content), force_bytes("complete")) self.assertEqual( force_bytes(inst.copyright), force_bytes("This is an example set.") ) self.assertEqual( force_bytes(inst.description), force_bytes("This value set includes a smattering of Benefit type codes."), ) self.assertFalse(inst.experimental) self.assertEqual( force_bytes(inst.extension[0].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-wg" ), ) self.assertEqual(force_bytes(inst.extension[0].valueCode), force_bytes("fm")) self.assertEqual( force_bytes(inst.extension[1].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-standards-status" ), ) self.assertEqual(force_bytes(inst.extension[1].valueCode), force_bytes("draft")) self.assertEqual( force_bytes(inst.extension[2].url), force_bytes( "http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm" ), ) self.assertEqual(inst.extension[2].valueInteger, 1) self.assertEqual(force_bytes(inst.id), force_bytes("benefit-type")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("urn:ietf:rfc:3986") ) self.assertEqual( force_bytes(inst.identifier[0].value), force_bytes("urn:oid:2.16.840.1.113883.4.642.4.1176"), ) self.assertEqual( inst.meta.lastUpdated.date, FHIRDate("2019-11-01T09:29:23.356+11:00").date ) self.assertEqual( inst.meta.lastUpdated.as_json(), "2019-11-01T09:29:23.356+11:00" ) self.assertEqual( force_bytes(inst.meta.profile[0]), force_bytes("http://hl7.org/fhir/StructureDefinition/shareablecodesystem"), ) self.assertEqual(force_bytes(inst.name), force_bytes("BenefitTypeCodes")) self.assertEqual( force_bytes(inst.publisher), force_bytes("Financial Management") ) self.assertEqual(force_bytes(inst.status), force_bytes("draft")) self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual(force_bytes(inst.title), force_bytes("Benefit Type Codes")) self.assertEqual( force_bytes(inst.url), force_bytes("http://terminology.hl7.org/CodeSystem/benefit-type"), ) self.assertEqual( force_bytes(inst.valueSet), force_bytes("http://hl7.org/fhir/ValueSet/benefit-type"), ) self.assertEqual(force_bytes(inst.version), force_bytes("4.0.1"))
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py
Python
encommon/tests/test_pickles.py
enasisnetwork/encommon-py
c2bb1412171c84fe2917a23b535a6db1b5f523c1
[ "MIT" ]
null
null
null
encommon/tests/test_pickles.py
enasisnetwork/encommon-py
c2bb1412171c84fe2917a23b535a6db1b5f523c1
[ "MIT" ]
null
null
null
encommon/tests/test_pickles.py
enasisnetwork/encommon-py
c2bb1412171c84fe2917a23b535a6db1b5f523c1
[ "MIT" ]
null
null
null
#==============================================================================# # Enasis Network Common Libraries # # Python Functions Pickle Manipulation # #==============================================================================# # Primary Functions for Pickle Manipulation # # : - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - # # : Populate the Pickle Contents savepickle # # : - - - - - - - - - - - - - - - - - - -- - - - - - - - - - - - - - - - - - - # # : Collect the Pickle Contents loadpickle # #==============================================================================# #------------------------------------------------------------------------------# # Primary Functions for Pickle Manipulation # #------------------------------------------------------------------------------# # #~~ Populate the Pickle Contents ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Populate the serialized content to the pickle with provided file system path #----------------------------------------------------------------------------- def test_savepickle(tmp_path): # # Import the module and functions relevant to this particular set of tests from os import path as os_path from encommon.pickles import savepickle from encommon.pickles import loadpickle # # Initial section for instantizing variables expected by remaining routine source = {"key": "value", "another": {"key": ["value1", "value2"]}} target = os_path.join(tmp_path, "_test_savepickle") # # Execute function being tested in a sane way consistent with normal usage savepickle(target, source) contents = loadpickle(target) # # Assert the relevant conditions indicating either test success or failure assert contents == source #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # #~~ Collect the Pickle Contents ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Collects the serialized content of the pickle from provided file system path #----------------------------------------------------------------------------- def test_loadpickle(tmp_path): # # Import the module and functions relevant to this particular set of tests from os import path as os_path from encommon.pickles import savepickle from encommon.pickles import loadpickle # # Initial section for instantizing variables expected by remaining routine source = {"key": "value", "another": {"key": ["value1", "value2"]}} target = os_path.join(tmp_path, "_test_loadpickle") # # Execute function being tested in a sane way consistent with normal usage savepickle(target, source) contents = loadpickle(target) # # Assert the relevant conditions indicating either test success or failure assert contents == source #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # #------------------------------------------------------------------------------#
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8
fcc8b706c308b58ad2c54fc0c94e930317079ded
93
py
Python
lakey_finicity/models/connect/__init__.py
jeremydeanlakey/lakey-finicity-python
f0b5ae6febb9337f0e28731f631b726fca940d2c
[ "MIT" ]
1
2021-02-09T14:44:55.000Z
2021-02-09T14:44:55.000Z
lakey_finicity/models/connect/__init__.py
jeremydeanlakey/lakey-finicity-python
f0b5ae6febb9337f0e28731f631b726fca940d2c
[ "MIT" ]
null
null
null
lakey_finicity/models/connect/__init__.py
jeremydeanlakey/lakey-finicity-python
f0b5ae6febb9337f0e28731f631b726fca940d2c
[ "MIT" ]
1
2022-01-26T18:09:33.000Z
2022-01-26T18:09:33.000Z
from .mfa_question import MfaQuestion from .answered_mfa_question import AnsweredMfaQuestion
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py
Python
validate/helpers.py
EBISPOT/gwas-sumstats-validator
c88f0f4064a5dfe4d9d1f334459924ebb9886e94
[ "Apache-2.0" ]
1
2021-04-14T17:38:42.000Z
2021-04-14T17:38:42.000Z
validate/helpers.py
EBISPOT/gwas-sumstats-validator
c88f0f4064a5dfe4d9d1f334459924ebb9886e94
[ "Apache-2.0" ]
31
2019-08-06T10:35:55.000Z
2022-03-29T11:26:44.000Z
validate/helpers.py
EBISPOT/gwas-sumstats-validator
c88f0f4064a5dfe4d9d1f334459924ebb9886e94
[ "Apache-2.0" ]
2
2020-05-04T08:25:15.000Z
2020-08-19T18:56:55.000Z
import math import pandas as pd from pandas_schema.validation import _SeriesValidation class InInclusiveRangeValidation(_SeriesValidation): """ Checks that each element in the series is within a given inclusive numerical range like so x <= n < y. Doesn't care if the values are not numeric - it will try anyway. """ def __init__(self, min: float = -math.inf, max: float = math.inf, **kwargs): """ :param min: The minimum (inclusive) value to accept :param max: The maximum (inclusive) value to accept """ self.min = min self.max = max super().__init__(**kwargs) @property def default_message(self): return 'was not >= {} and <= {})'.format(self.min, self.max) def validate(self, series: pd.Series) -> pd.Series: series = pd.to_numeric(series, errors='coerce') return (series >= self.min) & (series <= self.max) class InExclusiveRangeValidation(_SeriesValidation): """ Checks that each element in the series is within a given exclusive numerical range. """ def __init__(self, min: float = -math.inf, max: float = math.inf, **kwargs): """ :param min: The minimum (exclusive) value to accept :param max: The maximum (exclusive) value to accept """ self.min = min self.max = max super().__init__(**kwargs) @property def default_message(self): return 'was not > {} and < {})'.format(self.min, self.max) def validate(self, series: pd.Series) -> pd.Series: series = pd.to_numeric(series, errors='coerce') return (series > self.min) & (series < self.max) class InRangeValidationUpperInclusive(_SeriesValidation): """ Checks that each element in the series is within a given numerical range. """ def __init__(self, min: float = -math.inf, max: float = math.inf, **kwargs): """ :param min: The minimum (exclusive) value to accept :param max: The maximum (inclusive) value to accept """ self.min = min self.max = max super().__init__(**kwargs) @property def default_message(self): return 'was not > {} and <= {})'.format(self.min, self.max) def validate(self, series: pd.Series) -> pd.Series: series = pd.to_numeric(series, errors='coerce') return (series > self.min) & (series <= self.max)
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7
fce9ca132fd4737da22602c9006c002e4ca18a88
1,329
py
Python
src/scenes/end.py
Pas-de-sushi/shoot-clash
d61ccf04a57cc95adc4a475bc578dd99c191bbe3
[ "0BSD" ]
null
null
null
src/scenes/end.py
Pas-de-sushi/shoot-clash
d61ccf04a57cc95adc4a475bc578dd99c191bbe3
[ "0BSD" ]
null
null
null
src/scenes/end.py
Pas-de-sushi/shoot-clash
d61ccf04a57cc95adc4a475bc578dd99c191bbe3
[ "0BSD" ]
null
null
null
import pygame from scene import Scene class GameOver(Scene): """ Scène de fin de jeu. """ def __init__(self, scene_manager) -> None: super().__init__(scene_manager) self.background = pygame.image.load("assets/scenes/game-over.png").convert() def update(self, elapsed: int) -> None: """ Mets à jour la scène. Recommence le jeu si le joueur appuie sur espace. """ super().update(elapsed) pressed_keys = pygame.key.get_pressed() if pressed_keys[pygame.K_SPACE]: self.scene_manager.load_level_by_name("intro") def draw(self) -> None: self.screen.blit(self.background, (0, 0)) class Victory(Scene): """ Scène de victoire. """ def __init__(self, scene_manager) -> None: super().__init__(scene_manager) self.background = pygame.image.load("assets/scenes/victory.png").convert() def update(self, elapsed: int) -> None: """ Mets à jour la scène. Recommence le jeu si le joueur appuie sur espace. """ super().update(elapsed) pressed_keys = pygame.key.get_pressed() if pressed_keys[pygame.K_SPACE]: self.scene_manager.load_level_by_name("intro") def draw(self) -> None: self.screen.blit(self.background, (0, 0))
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8
1e0aba630cd5b7a8b06c8efac3288478d388c3ad
4,643
py
Python
tests/test_client.py
KenExplore/liquid-tap-python
a28d6a7dc4ab492be5d894579feb1f569ee96201
[ "MIT" ]
null
null
null
tests/test_client.py
KenExplore/liquid-tap-python
a28d6a7dc4ab492be5d894579feb1f569ee96201
[ "MIT" ]
null
null
null
tests/test_client.py
KenExplore/liquid-tap-python
a28d6a7dc4ab492be5d894579feb1f569ee96201
[ "MIT" ]
null
null
null
import unittest import time from liquidtap.client import Client class TestClient(unittest.TestCase): def setUp(self) -> None: self.client = Client() self.client.pusher.connection.bind('pusher:connection_established', self._on_connect) def _on_connect(self, data: str): print('on_connect:', data) self.client.pusher.subscribe(f"price_ladders_cash_btcjpy_buy").bind( 'updated', self._callback) self.client.pusher.subscribe(f"price_ladders_cash_btcjpy_sell").bind( 'updated', self._callback) @staticmethod def _callback(data: str): print(data) def test_connect(self): """ Example: on_connect: {"activity_timeout":120,"socket_id":"9557290249.7129860806"} [["5251849.00000","0.02901661"],["5251843.00000","0.00700000"],["5251609.00000","0.00100000"],["5251603.00000","0.00967056"],["5251592.00000","0.07920000"],["5251591.00000","0.59311887"],["5251583.00000","0.00100000"],["5251544.00000","0.00070000"],["5251510.00000","0.00110000"],["5251175.00000","0.00050000"],["5250609.00000","0.18000000"],["5250591.00000","0.00010000"],["5250411.00000","0.16000000"],["5250383.00000","0.00762958"],["5250312.00000","0.00170000"],["5250306.00000","0.01907801"],["5250247.00000","0.00100000"],["5250230.00000","0.00090000"],["5250000.00000","0.00010000"],["5249309.00000","0.12000000"],["5248522.00000","0.12000000"],["5248373.00000","0.01570000"],["5248320.00000","0.02000000"],["5248154.00000","0.00094347"],["5247735.00000","0.12000000"],["5247688.00000","0.08000000"],["5247637.00000","0.00090000"],["5247001.00000","0.49706191"],["5247000.00000","0.01420000"],["5246825.00000","0.02500000"],["5246565.00000","0.12000000"],["5246500.00000","0.00010000"],["5245646.00000","0.12170000"],["5245426.00000","0.00140000"],["5245071.00000","0.00070000"],["5244776.00000","0.01000000"],["5244476.00000","0.13000000"],["5243056.00000","0.00270000"],["5243000.00000","0.00010000"],["5242752.00000","0.00150000"]] [["5251849.00000","0.02901661"],["5251843.00000","0.00700000"],["5251609.00000","0.00100000"],["5251603.00000","0.00967056"],["5251592.00000","0.07920000"],["5251591.00000","0.59311887"],["5251583.00000","0.00100000"],["5251544.00000","0.00070000"],["5251510.00000","0.00110000"],["5251175.00000","0.00050000"],["5250609.00000","0.18000000"],["5250591.00000","0.00010000"],["5250411.00000","0.16000000"],["5250383.00000","0.00762958"],["5250312.00000","0.00170000"],["5250306.00000","0.01907801"],["5250247.00000","0.00100000"],["5250230.00000","0.00090000"],["5250000.00000","0.00010000"],["5249309.00000","0.12000000"],["5248522.00000","0.12000000"],["5248373.00000","0.01570000"],["5248320.00000","0.02000000"],["5248154.00000","0.00094347"],["5247735.00000","0.12000000"],["5247688.00000","0.08000000"],["5247637.00000","0.00090000"],["5247001.00000","0.49706191"],["5247000.00000","0.01420000"],["5246825.00000","0.02500000"],["5246565.00000","0.12000000"],["5246500.00000","0.00010000"],["5245646.00000","0.12170000"],["5245426.00000","0.00140000"],["5245071.00000","0.00070000"],["5244776.00000","0.01000000"],["5244476.00000","0.13000000"],["5243056.00000","0.00270000"],["5243000.00000","0.00010000"],["5242757.00000","0.00483790"]] [["5251849.00000","0.02901661"],["5251843.00000","0.00700000"],["5251609.00000","0.00100000"],["5251603.00000","0.00967056"],["5251592.00000","0.07920000"],["5251591.00000","0.59311887"],["5251583.00000","0.00100000"],["5251544.00000","0.00070000"],["5251510.00000","0.00110000"],["5251175.00000","0.00050000"],["5250859.00000","0.00100000"],["5250609.00000","0.18000000"],["5250591.00000","0.00010000"],["5250411.00000","0.16000000"],["5250383.00000","0.00762958"],["5250312.00000","0.00170000"],["5250306.00000","0.01907801"],["5250230.00000","0.00090000"],["5250000.00000","0.00010000"],["5249309.00000","0.12000000"],["5248522.00000","0.12000000"],["5248373.00000","0.01570000"],["5248320.00000","0.02000000"],["5248154.00000","0.00094347"],["5247735.00000","0.12000000"],["5247688.00000","0.08000000"],["5247637.00000","0.00090000"],["5247001.00000","0.49706191"],["5247000.00000","0.01420000"],["5246825.00000","0.02500000"],["5246565.00000","0.12000000"],["5246500.00000","0.00010000"],["5245646.00000","0.12170000"],["5245426.00000","0.00140000"],["5245071.00000","0.00070000"],["5244776.00000","0.01000000"],["5244476.00000","0.13000000"],["5243056.00000","0.00270000"],["5243000.00000","0.00010000"],["5242757.00000","0.00483790"]] """ self.client.pusher.connect() time.sleep(3) if __name__ == '__main__': unittest.main()
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12
a2130a9641a27d36abdfedcb6f8e19f699c9cc78
866
py
Python
tests/integration/test_poller.py
RyanFrantz/pepper
fcf7ec3a31a8dabc5ceefb238c18035d50ea72c2
[ "Apache-2.0" ]
null
null
null
tests/integration/test_poller.py
RyanFrantz/pepper
fcf7ec3a31a8dabc5ceefb238c18035d50ea72c2
[ "Apache-2.0" ]
null
null
null
tests/integration/test_poller.py
RyanFrantz/pepper
fcf7ec3a31a8dabc5ceefb238c18035d50ea72c2
[ "Apache-2.0" ]
null
null
null
# -*- coding: utf-8 -*- import salt.utils.yaml as yaml def test_local_poll(pepper_cli, session_minion_id): '''Test the returns poller for localclient''' ret = pepper_cli('--run-uri', '--fail-if-incomplete', '*', 'test.sleep', '1') assert ret[0][session_minion_id] is True assert ret[1] == {'Failed': []} def test_local_poll_long(pepper_cli, session_minion_id): '''Test the returns poller for localclient''' ret = pepper_cli('--run-uri', '--fail-if-incomplete', '*', 'test.sleep', '30') assert ret[0][session_minion_id] is True assert ret[1] == {'Failed': []} def test_local_poll_timeout(pepper_cli, session_minion_id): '''Test the returns poller for localclient''' ret = pepper_cli('--run-uri', '--timeout=5', '--fail-if-incomplete', '*', 'test.sleep', '10') assert yaml.load(ret) == {'Failed': [session_minion_id]}
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7
bfaed959bc1568a8a3f0057f023dff144da35ed2
65,700
py
Python
pythonocc/lib/OCC/ElSLib.py
mbattistello/lambda_converters
0dfef8927d3ddbc74e5c8ce1c38701ea182a27b3
[ "MIT" ]
2
2017-10-30T15:51:48.000Z
2020-11-04T02:23:36.000Z
pythonocc/lib/OCC/ElSLib.py
mbattistello/lambda_converters
0dfef8927d3ddbc74e5c8ce1c38701ea182a27b3
[ "MIT" ]
null
null
null
pythonocc/lib/OCC/ElSLib.py
mbattistello/lambda_converters
0dfef8927d3ddbc74e5c8ce1c38701ea182a27b3
[ "MIT" ]
4
2017-11-29T05:24:34.000Z
2020-03-05T23:23:23.000Z
# This file was automatically generated by SWIG (http://www.swig.org). # Version 2.0.10 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info if version_info >= (3,0,0): new_instancemethod = lambda func, inst, cls: _ElSLib.SWIG_PyInstanceMethod_New(func) else: from new import instancemethod as new_instancemethod if version_info >= (2,6,0): def swig_import_helper(): from os.path import dirname import imp fp = None try: fp, pathname, description = imp.find_module('_ElSLib', [dirname(__file__)]) except ImportError: import _ElSLib return _ElSLib if fp is not None: try: _mod = imp.load_module('_ElSLib', fp, pathname, description) finally: fp.close() return _mod _ElSLib = swig_import_helper() del swig_import_helper else: import _ElSLib del version_info try: _swig_property = property except NameError: pass # Python < 2.2 doesn't have 'property'. def _swig_setattr_nondynamic(self,class_type,name,value,static=1): if (name == "thisown"): return self.this.own(value) if (name == "this"): if type(value).__name__ == 'SwigPyObject': self.__dict__[name] = value return method = class_type.__swig_setmethods__.get(name,None) if method: return method(self,value) if (not static): self.__dict__[name] = value else: raise AttributeError("You cannot add attributes to %s" % self) def _swig_setattr(self,class_type,name,value): return _swig_setattr_nondynamic(self,class_type,name,value,0) def _swig_getattr(self,class_type,name): if (name == "thisown"): return self.this.own() method = class_type.__swig_getmethods__.get(name,None) if method: return method(self) raise AttributeError(name) def _swig_repr(self): try: strthis = "proxy of " + self.this.__repr__() except: strthis = "" return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,) try: _object = object _newclass = 1 except AttributeError: class _object : pass _newclass = 0 def _swig_setattr_nondynamic_method(set): def set_attr(self,name,value): if (name == "thisown"): return self.this.own(value) if hasattr(self,name) or (name == "this"): set(self,name,value) else: raise AttributeError("You cannot add attributes to %s" % self) return set_attr class SwigPyIterator(object): thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag') def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract") __repr__ = _swig_repr __swig_destroy__ = _ElSLib.delete_SwigPyIterator def __iter__(self): return self SwigPyIterator.value = new_instancemethod(_ElSLib.SwigPyIterator_value,None,SwigPyIterator) SwigPyIterator.incr = new_instancemethod(_ElSLib.SwigPyIterator_incr,None,SwigPyIterator) SwigPyIterator.decr = new_instancemethod(_ElSLib.SwigPyIterator_decr,None,SwigPyIterator) SwigPyIterator.distance = new_instancemethod(_ElSLib.SwigPyIterator_distance,None,SwigPyIterator) SwigPyIterator.equal = new_instancemethod(_ElSLib.SwigPyIterator_equal,None,SwigPyIterator) SwigPyIterator.copy = new_instancemethod(_ElSLib.SwigPyIterator_copy,None,SwigPyIterator) SwigPyIterator.next = new_instancemethod(_ElSLib.SwigPyIterator_next,None,SwigPyIterator) SwigPyIterator.__next__ = new_instancemethod(_ElSLib.SwigPyIterator___next__,None,SwigPyIterator) SwigPyIterator.previous = new_instancemethod(_ElSLib.SwigPyIterator_previous,None,SwigPyIterator) SwigPyIterator.advance = new_instancemethod(_ElSLib.SwigPyIterator_advance,None,SwigPyIterator) SwigPyIterator.__eq__ = new_instancemethod(_ElSLib.SwigPyIterator___eq__,None,SwigPyIterator) SwigPyIterator.__ne__ = new_instancemethod(_ElSLib.SwigPyIterator___ne__,None,SwigPyIterator) SwigPyIterator.__iadd__ = new_instancemethod(_ElSLib.SwigPyIterator___iadd__,None,SwigPyIterator) SwigPyIterator.__isub__ = new_instancemethod(_ElSLib.SwigPyIterator___isub__,None,SwigPyIterator) SwigPyIterator.__add__ = new_instancemethod(_ElSLib.SwigPyIterator___add__,None,SwigPyIterator) SwigPyIterator.__sub__ = new_instancemethod(_ElSLib.SwigPyIterator___sub__,None,SwigPyIterator) SwigPyIterator_swigregister = _ElSLib.SwigPyIterator_swigregister SwigPyIterator_swigregister(SwigPyIterator) import OCC.Standard import OCC.gp def register_handle(handle, base_object): """ Inserts the handle into the base object to prevent memory corruption in certain cases """ try: if base_object.IsKind("Standard_Transient"): base_object.thisHandle = handle base_object.thisown = False except: pass class elslib(object): thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag') __repr__ = _swig_repr def Value(*args): """ * For elementary surfaces from the gp package (planes, cones, cylinders, spheres and tori), computes the point of parameters (U, V). :param U: :type U: float :param V: :type V: float :param Pl: :type Pl: gp_Pln :rtype: gp_Pnt :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :rtype: gp_Pnt :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :rtype: gp_Pnt :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :rtype: gp_Pnt :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :rtype: gp_Pnt """ return _ElSLib.elslib_Value(*args) Value = staticmethod(Value) def DN(*args): """ * For elementary surfaces from the gp package (planes, cones, cylinders, spheres and tori), computes the derivative vector of order Nu and Nv in the u and v parametric directions respectively, at the point of parameters (U, V). :param U: :type U: float :param V: :type V: float :param Pl: :type Pl: gp_Pln :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_DN(*args) DN = staticmethod(DN) def D0(*args): """ * For elementary surfaces from the gp package (planes, cones, cylinders, spheres and tori), computes the point P of parameters (U, V).inline :param U: :type U: float :param V: :type V: float :param Pl: :type Pl: gp_Pln :param P: :type P: gp_Pnt :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :rtype: void :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :rtype: void :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_D0(*args) D0 = staticmethod(D0) def D1(*args): """ * For elementary surfaces from the gp package (planes, cones, cylinders, spheres and tori), computes: - the point P of parameters (U, V), and - the first derivative vectors Vu and Vv at this point in the u and v parametric directions respectively. :param U: :type U: float :param V: :type V: float :param Pl: :type Pl: gp_Pln :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_D1(*args) D1 = staticmethod(D1) def D2(*args): """ * For elementary surfaces from the gp package (cones, cylinders, spheres and tori), computes: - the point P of parameters (U, V), and - the first derivative vectors Vu and Vv at this point in the u and v parametric directions respectively, and - the second derivative vectors Vuu, Vvv and Vuv at this point. :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_D2(*args) D2 = staticmethod(D2) def D3(*args): """ * For elementary surfaces from the gp package (cones, cylinders, spheres and tori), computes: - the point P of parameters (U,V), and - the first derivative vectors Vu and Vv at this point in the u and v parametric directions respectively, and - the second derivative vectors Vuu, Vvv and Vuv at this point, and - the third derivative vectors Vuuu, Vvvv, Vuuv and Vuvv at this point. :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void * Surface evaluation The following functions compute the point and the derivatives on elementary surfaces defined with their geometric characterisitics. You don't need to create the surface to use these functions. These functions are called by the previous ones. Example : A cylinder is defined with its position and its radius. :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_D3(*args) D3 = staticmethod(D3) def PlaneValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :rtype: gp_Pnt """ return _ElSLib.elslib_PlaneValue(*args) PlaneValue = staticmethod(PlaneValue) def CylinderValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :rtype: gp_Pnt """ return _ElSLib.elslib_CylinderValue(*args) CylinderValue = staticmethod(CylinderValue) def ConeValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :rtype: gp_Pnt """ return _ElSLib.elslib_ConeValue(*args) ConeValue = staticmethod(ConeValue) def SphereValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :rtype: gp_Pnt """ return _ElSLib.elslib_SphereValue(*args) SphereValue = staticmethod(SphereValue) def TorusValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :rtype: gp_Pnt """ return _ElSLib.elslib_TorusValue(*args) TorusValue = staticmethod(TorusValue) def PlaneDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_PlaneDN(*args) PlaneDN = staticmethod(PlaneDN) def CylinderDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_CylinderDN(*args) CylinderDN = staticmethod(CylinderDN) def ConeDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_ConeDN(*args) ConeDN = staticmethod(ConeDN) def SphereDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_SphereDN(*args) SphereDN = staticmethod(SphereDN) def TorusDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_TorusDN(*args) TorusDN = staticmethod(TorusDN) def PlaneD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_PlaneD0(*args) PlaneD0 = staticmethod(PlaneD0) def ConeD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_ConeD0(*args) ConeD0 = staticmethod(ConeD0) def CylinderD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_CylinderD0(*args) CylinderD0 = staticmethod(CylinderD0) def SphereD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_SphereD0(*args) SphereD0 = staticmethod(SphereD0) def TorusD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_TorusD0(*args) TorusD0 = staticmethod(TorusD0) def PlaneD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_PlaneD1(*args) PlaneD1 = staticmethod(PlaneD1) def ConeD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_ConeD1(*args) ConeD1 = staticmethod(ConeD1) def CylinderD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_CylinderD1(*args) CylinderD1 = staticmethod(CylinderD1) def SphereD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_SphereD1(*args) SphereD1 = staticmethod(SphereD1) def TorusD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_TorusD1(*args) TorusD1 = staticmethod(TorusD1) def ConeD2(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_ConeD2(*args) ConeD2 = staticmethod(ConeD2) def CylinderD2(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_CylinderD2(*args) CylinderD2 = staticmethod(CylinderD2) def SphereD2(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_SphereD2(*args) SphereD2 = staticmethod(SphereD2) def TorusD2(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_TorusD2(*args) TorusD2 = staticmethod(TorusD2) def ConeD3(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_ConeD3(*args) ConeD3 = staticmethod(ConeD3) def CylinderD3(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_CylinderD3(*args) CylinderD3 = staticmethod(CylinderD3) def SphereD3(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_SphereD3(*args) SphereD3 = staticmethod(SphereD3) def TorusD3(*args): """ * The following functions compute the parametric values corresponding to a given point on a elementary surface. The point should be on the surface. :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_TorusD3(*args) TorusD3 = staticmethod(TorusD3) def Parameters(*args): """ * parametrization P (U, V) = Pl.Location() + U * Pl.XDirection() + V * Pl.YDirection() :param Pl: :type Pl: gp_Pln :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void * parametrization P (U, V) = Location + V * ZDirection + Radius * (Cos(U) * XDirection + Sin (U) * YDirection) :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void * parametrization P (U, V) = Location + V * ZDirection + (Radius + V * Tan (SemiAngle)) * (Cos(U) * XDirection + Sin(U) * YDirection) :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void * parametrization P (U, V) = Location + Radius * Cos (V) * (Cos (U) * XDirection + Sin (U) * YDirection) + Radius * Sin (V) * ZDirection :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void * parametrization P (U, V) = Location + (MajorRadius + MinorRadius * Cos(U)) * (Cos(V) * XDirection - Sin(V) * YDirection) + MinorRadius * Sin(U) * ZDirection :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_Parameters(*args) Parameters = staticmethod(Parameters) def PlaneParameters(*args): """ * parametrization P (U, V) = Pl.Location() + U * Pl.XDirection() + V * Pl.YDirection() :param Pos: :type Pos: gp_Ax3 :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_PlaneParameters(*args) PlaneParameters = staticmethod(PlaneParameters) def CylinderParameters(*args): """ * parametrization P (U, V) = Location + V * ZDirection + Radius * (Cos(U) * XDirection + Sin (U) * YDirection) :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_CylinderParameters(*args) CylinderParameters = staticmethod(CylinderParameters) def ConeParameters(*args): """ * parametrization P (U, V) = Location + V * ZDirection + (Radius + V * Tan (SemiAngle)) * (Cos(U) * XDirection + Sin(U) * YDirection) :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_ConeParameters(*args) ConeParameters = staticmethod(ConeParameters) def SphereParameters(*args): """ * parametrization P (U, V) = Location + Radius * Cos (V) * (Cos (U) * XDirection + Sin (U) * YDirection) + Radius * Sin (V) * ZDirection :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_SphereParameters(*args) SphereParameters = staticmethod(SphereParameters) def TorusParameters(*args): """ * parametrization P (U, V) = Location + (MajorRadius + MinorRadius * Cos(U)) * (Cos(V) * XDirection - Sin(V) * YDirection) + MinorRadius * Sin(U) * ZDirection :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_TorusParameters(*args) TorusParameters = staticmethod(TorusParameters) def PlaneUIso(*args): """ * compute the U Isoparametric gp_Lin of the plane. :param Pos: :type Pos: gp_Ax3 :param U: :type U: float :rtype: gp_Lin """ return _ElSLib.elslib_PlaneUIso(*args) PlaneUIso = staticmethod(PlaneUIso) def CylinderUIso(*args): """ * compute the U Isoparametric gp_Lin of the cylinder. :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param U: :type U: float :rtype: gp_Lin """ return _ElSLib.elslib_CylinderUIso(*args) CylinderUIso = staticmethod(CylinderUIso) def ConeUIso(*args): """ * compute the U Isoparametric gp_Lin of the cone. :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param U: :type U: float :rtype: gp_Lin """ return _ElSLib.elslib_ConeUIso(*args) ConeUIso = staticmethod(ConeUIso) def SphereUIso(*args): """ * compute the U Isoparametric gp_Circ of the sphere, (the meridian is not trimmed). :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param U: :type U: float :rtype: gp_Circ """ return _ElSLib.elslib_SphereUIso(*args) SphereUIso = staticmethod(SphereUIso) def TorusUIso(*args): """ * compute the U Isoparametric gp_Circ of the torus. :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param U: :type U: float :rtype: gp_Circ """ return _ElSLib.elslib_TorusUIso(*args) TorusUIso = staticmethod(TorusUIso) def PlaneVIso(*args): """ * compute the V Isoparametric gp_Lin of the plane. :param Pos: :type Pos: gp_Ax3 :param V: :type V: float :rtype: gp_Lin """ return _ElSLib.elslib_PlaneVIso(*args) PlaneVIso = staticmethod(PlaneVIso) def CylinderVIso(*args): """ * compute the V Isoparametric gp_Circ of the cylinder. :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param V: :type V: float :rtype: gp_Circ """ return _ElSLib.elslib_CylinderVIso(*args) CylinderVIso = staticmethod(CylinderVIso) def ConeVIso(*args): """ * compute the V Isoparametric gp_Circ of the cone. :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param V: :type V: float :rtype: gp_Circ """ return _ElSLib.elslib_ConeVIso(*args) ConeVIso = staticmethod(ConeVIso) def SphereVIso(*args): """ * compute the V Isoparametric gp_Circ of the sphere, (the meridian is not trimmed). :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param V: :type V: float :rtype: gp_Circ """ return _ElSLib.elslib_SphereVIso(*args) SphereVIso = staticmethod(SphereVIso) def TorusVIso(*args): """ * compute the V Isoparametric gp_Circ of the torus. :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param V: :type V: float :rtype: gp_Circ """ return _ElSLib.elslib_TorusVIso(*args) TorusVIso = staticmethod(TorusVIso) def __init__(self): _ElSLib.elslib_swiginit(self,_ElSLib.new_elslib()) __swig_destroy__ = _ElSLib.delete_elslib elslib_swigregister = _ElSLib.elslib_swigregister elslib_swigregister(elslib) def elslib_Value(*args): """ * For elementary surfaces from the gp package (planes, cones, cylinders, spheres and tori), computes the point of parameters (U, V). :param U: :type U: float :param V: :type V: float :param Pl: :type Pl: gp_Pln :rtype: gp_Pnt :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :rtype: gp_Pnt :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :rtype: gp_Pnt :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :rtype: gp_Pnt :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :rtype: gp_Pnt """ return _ElSLib.elslib_Value(*args) def elslib_DN(*args): """ * For elementary surfaces from the gp package (planes, cones, cylinders, spheres and tori), computes the derivative vector of order Nu and Nv in the u and v parametric directions respectively, at the point of parameters (U, V). :param U: :type U: float :param V: :type V: float :param Pl: :type Pl: gp_Pln :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_DN(*args) def elslib_D0(*args): """ * For elementary surfaces from the gp package (planes, cones, cylinders, spheres and tori), computes the point P of parameters (U, V).inline :param U: :type U: float :param V: :type V: float :param Pl: :type Pl: gp_Pln :param P: :type P: gp_Pnt :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :rtype: void :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :rtype: void :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_D0(*args) def elslib_D1(*args): """ * For elementary surfaces from the gp package (planes, cones, cylinders, spheres and tori), computes: - the point P of parameters (U, V), and - the first derivative vectors Vu and Vv at this point in the u and v parametric directions respectively. :param U: :type U: float :param V: :type V: float :param Pl: :type Pl: gp_Pln :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_D1(*args) def elslib_D2(*args): """ * For elementary surfaces from the gp package (cones, cylinders, spheres and tori), computes: - the point P of parameters (U, V), and - the first derivative vectors Vu and Vv at this point in the u and v parametric directions respectively, and - the second derivative vectors Vuu, Vvv and Vuv at this point. :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_D2(*args) def elslib_D3(*args): """ * For elementary surfaces from the gp package (cones, cylinders, spheres and tori), computes: - the point P of parameters (U,V), and - the first derivative vectors Vu and Vv at this point in the u and v parametric directions respectively, and - the second derivative vectors Vuu, Vvv and Vuv at this point, and - the third derivative vectors Vuuu, Vvvv, Vuuv and Vuvv at this point. :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void :param U: :type U: float :param V: :type V: float :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void * Surface evaluation The following functions compute the point and the derivatives on elementary surfaces defined with their geometric characterisitics. You don't need to create the surface to use these functions. These functions are called by the previous ones. Example : A cylinder is defined with its position and its radius. :param U: :type U: float :param V: :type V: float :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_D3(*args) def elslib_PlaneValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :rtype: gp_Pnt """ return _ElSLib.elslib_PlaneValue(*args) def elslib_CylinderValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :rtype: gp_Pnt """ return _ElSLib.elslib_CylinderValue(*args) def elslib_ConeValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :rtype: gp_Pnt """ return _ElSLib.elslib_ConeValue(*args) def elslib_SphereValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :rtype: gp_Pnt """ return _ElSLib.elslib_SphereValue(*args) def elslib_TorusValue(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :rtype: gp_Pnt """ return _ElSLib.elslib_TorusValue(*args) def elslib_PlaneDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_PlaneDN(*args) def elslib_CylinderDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_CylinderDN(*args) def elslib_ConeDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_ConeDN(*args) def elslib_SphereDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_SphereDN(*args) def elslib_TorusDN(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param Nu: :type Nu: int :param Nv: :type Nv: int :rtype: gp_Vec """ return _ElSLib.elslib_TorusDN(*args) def elslib_PlaneD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_PlaneD0(*args) def elslib_ConeD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_ConeD0(*args) def elslib_CylinderD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_CylinderD0(*args) def elslib_SphereD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_SphereD0(*args) def elslib_TorusD0(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :rtype: void """ return _ElSLib.elslib_TorusD0(*args) def elslib_PlaneD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_PlaneD1(*args) def elslib_ConeD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_ConeD1(*args) def elslib_CylinderD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_CylinderD1(*args) def elslib_SphereD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_SphereD1(*args) def elslib_TorusD1(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :rtype: void """ return _ElSLib.elslib_TorusD1(*args) def elslib_ConeD2(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_ConeD2(*args) def elslib_CylinderD2(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_CylinderD2(*args) def elslib_SphereD2(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_SphereD2(*args) def elslib_TorusD2(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :rtype: void """ return _ElSLib.elslib_TorusD2(*args) def elslib_ConeD3(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_ConeD3(*args) def elslib_CylinderD3(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_CylinderD3(*args) def elslib_SphereD3(*args): """ :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_SphereD3(*args) def elslib_TorusD3(*args): """ * The following functions compute the parametric values corresponding to a given point on a elementary surface. The point should be on the surface. :param U: :type U: float :param V: :type V: float :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :param Vu: :type Vu: gp_Vec :param Vv: :type Vv: gp_Vec :param Vuu: :type Vuu: gp_Vec :param Vvv: :type Vvv: gp_Vec :param Vuv: :type Vuv: gp_Vec :param Vuuu: :type Vuuu: gp_Vec :param Vvvv: :type Vvvv: gp_Vec :param Vuuv: :type Vuuv: gp_Vec :param Vuvv: :type Vuvv: gp_Vec :rtype: void """ return _ElSLib.elslib_TorusD3(*args) def elslib_Parameters(*args): """ * parametrization P (U, V) = Pl.Location() + U * Pl.XDirection() + V * Pl.YDirection() :param Pl: :type Pl: gp_Pln :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void * parametrization P (U, V) = Location + V * ZDirection + Radius * (Cos(U) * XDirection + Sin (U) * YDirection) :param C: :type C: gp_Cylinder :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void * parametrization P (U, V) = Location + V * ZDirection + (Radius + V * Tan (SemiAngle)) * (Cos(U) * XDirection + Sin(U) * YDirection) :param C: :type C: gp_Cone :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void * parametrization P (U, V) = Location + Radius * Cos (V) * (Cos (U) * XDirection + Sin (U) * YDirection) + Radius * Sin (V) * ZDirection :param S: :type S: gp_Sphere :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void * parametrization P (U, V) = Location + (MajorRadius + MinorRadius * Cos(U)) * (Cos(V) * XDirection - Sin(V) * YDirection) + MinorRadius * Sin(U) * ZDirection :param T: :type T: gp_Torus :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_Parameters(*args) def elslib_PlaneParameters(*args): """ * parametrization P (U, V) = Pl.Location() + U * Pl.XDirection() + V * Pl.YDirection() :param Pos: :type Pos: gp_Ax3 :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_PlaneParameters(*args) def elslib_CylinderParameters(*args): """ * parametrization P (U, V) = Location + V * ZDirection + Radius * (Cos(U) * XDirection + Sin (U) * YDirection) :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_CylinderParameters(*args) def elslib_ConeParameters(*args): """ * parametrization P (U, V) = Location + V * ZDirection + (Radius + V * Tan (SemiAngle)) * (Cos(U) * XDirection + Sin(U) * YDirection) :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_ConeParameters(*args) def elslib_SphereParameters(*args): """ * parametrization P (U, V) = Location + Radius * Cos (V) * (Cos (U) * XDirection + Sin (U) * YDirection) + Radius * Sin (V) * ZDirection :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_SphereParameters(*args) def elslib_TorusParameters(*args): """ * parametrization P (U, V) = Location + (MajorRadius + MinorRadius * Cos(U)) * (Cos(V) * XDirection - Sin(V) * YDirection) + MinorRadius * Sin(U) * ZDirection :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param P: :type P: gp_Pnt :param U: :type U: float & :param V: :type V: float & :rtype: void """ return _ElSLib.elslib_TorusParameters(*args) def elslib_PlaneUIso(*args): """ * compute the U Isoparametric gp_Lin of the plane. :param Pos: :type Pos: gp_Ax3 :param U: :type U: float :rtype: gp_Lin """ return _ElSLib.elslib_PlaneUIso(*args) def elslib_CylinderUIso(*args): """ * compute the U Isoparametric gp_Lin of the cylinder. :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param U: :type U: float :rtype: gp_Lin """ return _ElSLib.elslib_CylinderUIso(*args) def elslib_ConeUIso(*args): """ * compute the U Isoparametric gp_Lin of the cone. :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param U: :type U: float :rtype: gp_Lin """ return _ElSLib.elslib_ConeUIso(*args) def elslib_SphereUIso(*args): """ * compute the U Isoparametric gp_Circ of the sphere, (the meridian is not trimmed). :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param U: :type U: float :rtype: gp_Circ """ return _ElSLib.elslib_SphereUIso(*args) def elslib_TorusUIso(*args): """ * compute the U Isoparametric gp_Circ of the torus. :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param U: :type U: float :rtype: gp_Circ """ return _ElSLib.elslib_TorusUIso(*args) def elslib_PlaneVIso(*args): """ * compute the V Isoparametric gp_Lin of the plane. :param Pos: :type Pos: gp_Ax3 :param V: :type V: float :rtype: gp_Lin """ return _ElSLib.elslib_PlaneVIso(*args) def elslib_CylinderVIso(*args): """ * compute the V Isoparametric gp_Circ of the cylinder. :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param V: :type V: float :rtype: gp_Circ """ return _ElSLib.elslib_CylinderVIso(*args) def elslib_ConeVIso(*args): """ * compute the V Isoparametric gp_Circ of the cone. :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param SAngle: :type SAngle: float :param V: :type V: float :rtype: gp_Circ """ return _ElSLib.elslib_ConeVIso(*args) def elslib_SphereVIso(*args): """ * compute the V Isoparametric gp_Circ of the sphere, (the meridian is not trimmed). :param Pos: :type Pos: gp_Ax3 :param Radius: :type Radius: float :param V: :type V: float :rtype: gp_Circ """ return _ElSLib.elslib_SphereVIso(*args) def elslib_TorusVIso(*args): """ * compute the V Isoparametric gp_Circ of the torus. :param Pos: :type Pos: gp_Ax3 :param MajorRadius: :type MajorRadius: float :param MinorRadius: :type MinorRadius: float :param V: :type V: float :rtype: gp_Circ """ return _ElSLib.elslib_TorusVIso(*args)
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9
bfc28fda7b044be4b3ef46a2825aac40c6b84e79
2,514
py
Python
terrascript/opc/r.py
mjuenema/python-terrascript
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
[ "BSD-2-Clause" ]
507
2017-07-26T02:58:38.000Z
2022-01-21T12:35:13.000Z
terrascript/opc/r.py
mjuenema/python-terrascript
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
[ "BSD-2-Clause" ]
135
2017-07-20T12:01:59.000Z
2021-10-04T22:25:40.000Z
terrascript/opc/r.py
mjuenema/python-terrascript
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
[ "BSD-2-Clause" ]
81
2018-02-20T17:55:28.000Z
2022-01-31T07:08:40.000Z
# terrascript/opc/r.py # Automatically generated by tools/makecode.py () import warnings warnings.warn( "using the 'legacy layout' is deprecated", DeprecationWarning, stacklevel=2 ) import terrascript class opc_compute_acl(terrascript.Resource): pass class opc_compute_image_list(terrascript.Resource): pass class opc_compute_image_list_entry(terrascript.Resource): pass class opc_compute_instance(terrascript.Resource): pass class opc_compute_ip_address_association(terrascript.Resource): pass class opc_compute_ip_address_prefix_set(terrascript.Resource): pass class opc_compute_ip_address_reservation(terrascript.Resource): pass class opc_compute_ip_association(terrascript.Resource): pass class opc_compute_ip_network(terrascript.Resource): pass class opc_compute_ip_network_exchange(terrascript.Resource): pass class opc_compute_ip_reservation(terrascript.Resource): pass class opc_compute_machine_image(terrascript.Resource): pass class opc_compute_orchestrated_instance(terrascript.Resource): pass class opc_compute_route(terrascript.Resource): pass class opc_compute_sec_rule(terrascript.Resource): pass class opc_compute_security_application(terrascript.Resource): pass class opc_compute_security_association(terrascript.Resource): pass class opc_compute_security_ip_list(terrascript.Resource): pass class opc_compute_security_list(terrascript.Resource): pass class opc_compute_security_protocol(terrascript.Resource): pass class opc_compute_security_rule(terrascript.Resource): pass class opc_compute_snapshot(terrascript.Resource): pass class opc_compute_ssh_key(terrascript.Resource): pass class opc_compute_storage_attachment(terrascript.Resource): pass class opc_compute_storage_volume(terrascript.Resource): pass class opc_compute_storage_volume_snapshot(terrascript.Resource): pass class opc_compute_vnic_set(terrascript.Resource): pass class opc_compute_vpn_endpoint_v2(terrascript.Resource): pass class opc_lbaas_certificate(terrascript.Resource): pass class opc_lbaas_listener(terrascript.Resource): pass class opc_lbaas_load_balancer(terrascript.Resource): pass class opc_lbaas_policy(terrascript.Resource): pass class opc_lbaas_server_pool(terrascript.Resource): pass class opc_storage_container(terrascript.Resource): pass class opc_storage_object(terrascript.Resource): pass
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44da0cd6641655dbb2497fe2f285fb819200aeb0
8,885
py
Python
tests/pytest/test_keyspace_notifications.py
EricRabil/RedisJSON
2e6cbe4b29d44a15712c3505146d39c04cc303af
[ "Apache-2.0", "BSD-2-Clause", "MIT", "MIT-0", "Ruby", "BSD-3-Clause" ]
1
2021-12-16T06:52:00.000Z
2021-12-16T06:52:00.000Z
tests/pytest/test_keyspace_notifications.py
hebeillc/RedisJSON
91892dddbd5f56f373ce2ae338274ccde7b659c0
[ "BSD-2-Clause", "Apache-2.0", "MIT", "MIT-0", "Ruby", "BSD-3-Clause" ]
null
null
null
tests/pytest/test_keyspace_notifications.py
hebeillc/RedisJSON
91892dddbd5f56f373ce2ae338274ccde7b659c0
[ "BSD-2-Clause", "Apache-2.0", "MIT", "MIT-0", "Ruby", "BSD-3-Clause" ]
null
null
null
import json import time import redis from RLTest import Env,Defaults import time Defaults.decode_responses = True def assert_msg(env, msg, expected_type, expected_data): env.assertEqual(expected_type, msg['type']) env.assertEqual(expected_data, msg['data']) def test_keyspace_set(env): env.skipOnVersionSmaller('6.2') with env.getClusterConnectionIfNeeded() as r: r.execute_command('config', 'set', 'notify-keyspace-events', 'KEA') pubsub = r.pubsub() pubsub.psubscribe('__key*') time.sleep(1) env.assertEqual('psubscribe', pubsub.get_message()['type']) r.execute_command('JSON.SET', 'test_key', '$', '{"foo": "bar", "fu": 131}') assert_msg(env, pubsub.get_message(), 'pmessage', 'json.set') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') env.assertEqual('OK', r.execute_command('JSON.SET', 'test_key', '$.foo', '"gogo"')) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.set') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') env.assertEqual([8], r.execute_command('JSON.STRAPPEND', 'test_key', '$.foo', '"toto"')) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.strappend') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') # Negative tests should not get an event # Read-only commands should not get an event env.assertEqual(None, r.execute_command('JSON.SET', 'test_key', '$.foo.a', '"nono"')) env.assertEqual(None, pubsub.get_message()) env.assertEqual([8], r.execute_command('JSON.STRLEN', 'test_key', '$.foo')) env.assertEqual(None, pubsub.get_message()) env.assertEqual('["gogototo"]', r.execute_command('JSON.GET', 'test_key', '$.foo')) env.assertEqual(None, pubsub.get_message()) env.assertEqual(['["gogototo"]', None], r.execute_command('JSON.MGET', 'test_key', 'test_key1', '$.foo')) env.assertEqual(None, pubsub.get_message()) env.assertEqual([['foo', 'fu']], r.execute_command('JSON.OBJKEYS', 'test_key', '$')) env.assertEqual(None, pubsub.get_message()) env.assertEqual([2], r.execute_command('JSON.OBJLEN', 'test_key', '$')) env.assertEqual(None, pubsub.get_message()) env.assertEqual([None], r.execute_command('JSON.STRAPPEND', 'test_key', '$.fu', '"bark"')) env.assertEqual(None, pubsub.get_message()) def test_keyspace_arr(env): env.skipOnVersionSmaller('6.2') with env.getClusterConnectionIfNeeded() as r: r.execute_command('config', 'set', 'notify-keyspace-events', 'KEA') pubsub = r.pubsub() pubsub.psubscribe('__key*') time.sleep(1) env.assertEqual('psubscribe', pubsub.get_message()['type']) r.execute_command('JSON.SET', 'test_key_arr', '$', '{"foo": [], "bar": 31}') assert_msg(env, pubsub.get_message(), 'pmessage', 'json.set') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key_arr') env.assertEqual([2], r.execute_command('JSON.ARRAPPEND', 'test_key_arr', '$.foo', '"gogo1"', '"gogo2"')) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.arrappend') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key_arr') env.assertEqual([4], r.execute_command('JSON.ARRINSERT', 'test_key_arr', '$.foo', 1, '"gogo3"', '"gogo4"')) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.arrinsert') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key_arr') env.assertEqual(['"gogo3"'], r.execute_command('JSON.ARRPOP', 'test_key_arr', '$.foo', 1)) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.arrpop') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key_arr') env.assertEqual([2], r.execute_command('JSON.ARRTRIM', 'test_key_arr', '$.foo', 0, 1)) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.arrtrim') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key_arr') # Negative tests should not get an event # Read-only commands should not get an event env.assertEqual([0], r.execute_command('JSON.ARRINDEX', 'test_key_arr', '$.foo', '"gogo1"')) env.assertEqual(None, pubsub.get_message()) env.assertEqual([2], r.execute_command('JSON.ARRLEN', 'test_key_arr', '$.foo')) env.assertEqual(None, pubsub.get_message()) env.assertEqual(1, r.execute_command('JSON.CLEAR', 'test_key_arr', '$.foo')) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.clear') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key_arr') env.assertEqual([None], r.execute_command('JSON.ARRPOP', 'test_key_arr', '$.foo')) # Empty array env.assertEqual(None, pubsub.get_message()) env.assertEqual([None], r.execute_command('JSON.ARRPOP', 'test_key_arr', '$')) # Not an array env.assertEqual(None, pubsub.get_message()) # TODO add more negative test for arr path not found env.assertEqual([None], r.execute_command('JSON.ARRTRIM', 'test_key_arr', '$.bar', 0, 1)) # Not an array env.assertEqual(None, pubsub.get_message()) env.assertEqual([None], r.execute_command('JSON.ARRINSERT', 'test_key_arr', '$.bar', 1, '"barian"')) # Not an array env.assertEqual(None, pubsub.get_message()) env.assertEqual([None], r.execute_command('JSON.ARRAPPEND', 'test_key_arr', '$.bar', '"barian"')) # Not an array env.assertEqual(None, pubsub.get_message()) env.assertEqual([None], r.execute_command('JSON.ARRPOP', 'test_key_arr', '$.bar')) # Not an array env.assertEqual(None, pubsub.get_message()) env.assertEqual(0, r.execute_command('JSON.CLEAR', 'test_key_arr', '$.bar')) # Not an array env.assertEqual(None, pubsub.get_message()) def test_keyspace_del(env): env.skipOnVersionSmaller('6.2') with env.getClusterConnectionIfNeeded() as r: r.execute_command('config', 'set', 'notify-keyspace-events', 'KEA') pubsub = r.pubsub() pubsub.psubscribe('__key*') time.sleep(1) env.assertEqual('psubscribe', pubsub.get_message()['type']) r.execute_command('JSON.SET', 'test_key', '$', '{"foo": "bar", "foo2":"bar2", "foo3":"bar3"}') assert_msg(env, pubsub.get_message(), 'pmessage', 'json.set') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') env.assertEqual(1, r.execute_command('JSON.DEL', 'test_key', '$.foo')) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.del') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') env.assertEqual(1, r.execute_command('JSON.FORGET', 'test_key', '$.foo3')) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.del') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') env.assertEqual(0, r.execute_command('JSON.DEL', 'test_key', '$.foo')) env.assertEqual(None, pubsub.get_message()) def test_keyspace_num(env): env.skipOnVersionSmaller('6.2') with env.getClusterConnectionIfNeeded() as r: r.execute_command('config', 'set', 'notify-keyspace-events', 'KEA') pubsub = r.pubsub() pubsub.psubscribe('__key*') time.sleep(1) env.assertEqual('psubscribe', pubsub.get_message()['type']) r.execute_command('JSON.SET', 'test_key', '$', '{"foo": 1, "bar": "baro"}') assert_msg(env, pubsub.get_message(), 'pmessage', 'json.set') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') env.assertEqual('[4]', r.execute_command('JSON.NUMINCRBY', 'test_key', '$.foo', 3)) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.numincrby') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') env.assertEqual('[12]', r.execute_command('JSON.NUMMULTBY', 'test_key', '$.foo', 3)) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.nummultby') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') env.assertEqual('[144]', r.execute_command('JSON.NUMPOWBY', 'test_key', '$.foo', 2)) assert_msg(env, pubsub.get_message(), 'pmessage', 'json.numpowby') assert_msg(env, pubsub.get_message(), 'pmessage', 'test_key') # Negative tests should not get an event env.assertEqual('[null]', r.execute_command('JSON.NUMINCRBY', 'test_key', '$.bar', 3)) env.assertEqual(None, pubsub.get_message()) env.assertEqual('[null]', r.execute_command('JSON.NUMMULTBY', 'test_key', '$.bar', 3)) env.assertEqual(None, pubsub.get_message()) env.assertEqual('[null]', r.execute_command('JSON.NUMPOWBY', 'test_key', '$.bar', 3)) env.assertEqual(None, pubsub.get_message())
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44f81127d61f1fe02c844a281ef747dca341af4e
38,801
py
Python
tests/fortunes_algorithm/test_weighted_sites.py
EderVs/Voronoi-Diagrams
6e69f9b6eb516dee12d66f187cf267a7b527da5f
[ "MIT" ]
3
2021-11-12T17:43:08.000Z
2022-01-03T02:47:34.000Z
tests/fortunes_algorithm/test_weighted_sites.py
EderVs/Voronoi-Diagrams
6e69f9b6eb516dee12d66f187cf267a7b527da5f
[ "MIT" ]
3
2021-11-19T20:12:31.000Z
2021-11-19T20:14:39.000Z
tests/fortunes_algorithm/test_weighted_sites.py
EderVs/Voronoi-Diagrams
6e69f9b6eb516dee12d66f187cf267a7b527da5f
[ "MIT" ]
null
null
null
"""Test Algorithm using Weighted Point Sites.""" # Standard from typing import List, Any # Models from voronoi_diagrams.models import WeightedSite, WeightedPointBisector, Point # Algorithm from voronoi_diagrams.fortunes_algorithm import FortunesAlgorithm # Math from decimal import Decimal class TestWeightedSites: """Test formula.""" def _check_bisectors_and_vertex( self, voronoi_diagram: FortunesAlgorithm, expected_bisectors: List[WeightedPointBisector], expected_vertices: List[Point], ): print(voronoi_diagram.bisectors_list) print(voronoi_diagram.vertices_list) # Bisectors. assert len(voronoi_diagram.bisectors_list) == len(expected_bisectors) for bisector in voronoi_diagram.bisectors_list: assert bisector in expected_bisectors # Vertex. assert len(voronoi_diagram.vertices_list) == len(expected_vertices) for vertex in voronoi_diagram.vertices_list: assert vertex in expected_vertices def test_2_sites(self): """Test 2 sites. There are no intersections (vertices) in this test. """ p = Point(Decimal(0), Decimal(0)) p_w = Decimal(1.5) q = Point(Decimal(10), Decimal(12)) q_w = Decimal(2.5) site_p = WeightedSite(p.x, p.y, p_w) site_q = WeightedSite(q.x, q.y, q_w) points_and_weights = ((p, p_w), (q, q_w)) bisector = WeightedPointBisector((site_p, site_q)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) self._check_bisectors_and_vertex(voronoi_diagram, [bisector], []) def test_2_sites_without_weight(self): """Test 2 sites without weight. There are no intersections (vertices) in this test. """ p = Point(Decimal(0), Decimal(0)) p_w = Decimal(0) q = Point(Decimal(10), Decimal(12)) q_w = Decimal(0) site_p = WeightedSite(p.x, p.y, p_w) site_q = WeightedSite(q.x, q.y, q_w) points_and_weights = ((p, p_w), (q, q_w)) bisector = WeightedPointBisector((site_p, site_q)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) self._check_bisectors_and_vertex(voronoi_diagram, [bisector], []) def test_3_sites(self): """Test 3 sites.""" p1 = Point(Decimal(38), Decimal(2)) p1_w = Decimal(1) p2 = Point(Decimal(34), Decimal(39)) p2_w = Decimal(2) p3 = Point(Decimal(10), Decimal(7)) p3_w = Decimal(5) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [bisector_p1_p2, bisector_p1_p3, bisector_p2_p3] expected_vertices = [ Point( Decimal("23.7599947570548692965530790388584136962890625"), Decimal("19.77888156319230716917445533908903598785400390625"), ) ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("36.7"), Decimal("1.6")) p1_w = Decimal(2) p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal(5) p3 = Point(Decimal("13.4"), Decimal("3.4")) p3_w = Decimal(2) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [bisector_p1_p2, bisector_p1_p3, bisector_p2_p3] expected_vertices = [ Point( Decimal("23.195022965036205420119586051441729068756103515625"), Decimal("-21.511647174809116478400028427131474018096923828125"), ), Point( Decimal("26.469144622760826024432390113361179828643798828125"), Decimal("20.870038727961539137822910561226308345794677734375"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_3_with_vertical(self): """Test 3 sties with vertical bisector.""" p1 = Point(Decimal(2), Decimal(10)) p1_w = Decimal(2) p2 = Point(Decimal(6), Decimal(10)) p2_w = Decimal(4) p3 = Point(Decimal(10), Decimal(10)) p3_w = Decimal(2) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p2, bisector_p1_p3, bisector_p2_p3, ] expected_vertices = [ Point( Decimal("6"), Decimal("6.99999999999999911182158029987476766109466552734375"), ), Point( Decimal("6"), Decimal("13.0000000000000017763568394002504646778106689453125"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal(2), Decimal(10)) p1_w = Decimal(2) p2 = Point(Decimal("5.5"), Decimal(10)) p2_w = Decimal(4) p3 = Point(Decimal(10), Decimal(10)) p3_w = Decimal(2) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p2, bisector_p1_p3, bisector_p2_p3, ] expected_vertices = [ Point( Decimal("6"), Decimal("7.10536595577264762368940864689648151397705078125"), ), Point( Decimal("6.0000001581526287708356903749518096446990966796875"), Decimal("12.894634297774786091395071707665920257568359375"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_3_sites_no_vertices(self): """Test 3 sites. There are no intersections (vertices) in this test. """ p1 = Point(Decimal(38), Decimal(2)) p1_w = Decimal(1) p2 = Point(Decimal(34), Decimal(39)) p2_w = Decimal(2) p3 = Point(Decimal(36), Decimal(-10)) p3_w = Decimal(5) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [bisector_p1_p2, bisector_p1_p3] expected_vertices = [] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal(38), Decimal(2)) p1_w = Decimal(1) p2 = Point(Decimal(38), Decimal(39)) p2_w = Decimal(2) p3 = Point(Decimal(38), Decimal(-10)) p3_w = Decimal(5) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [bisector_p1_p2, bisector_p1_p3] expected_vertices = [] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_3_sites_without_weights(self): """Test 3 sites. There are no intersections (vertices) in this test. """ p1 = Point(Decimal(38), Decimal(2)) p1_w = Decimal(0) p2 = Point(Decimal(40), Decimal(38)) p2_w = Decimal(0) p3 = Point(Decimal(20), Decimal(0)) p3_w = Decimal(0) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [bisector_p1_p2, bisector_p1_p3, bisector_p2_p3] expected_vertices = [ Point( Decimal("26.81366459627329135173567919991910457611083984375"), Decimal("20.67701863354037783437888720072805881500244140625"), ) ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_3_sites_without_weights_vertical(self): """Test 3 sites. There are no intersections (vertices) in this test. """ p1 = Point(Decimal(38), Decimal(2)) p1_w = Decimal(0) p2 = Point(Decimal(40), Decimal(0)) p2_w = Decimal(0) p3 = Point(Decimal(20), Decimal(0)) p3_w = Decimal(0) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [bisector_p1_p2, bisector_p1_p3, bisector_p2_p3] expected_vertices = [Point(Decimal("30"), Decimal("-8"),)] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_3_sites_without_weights_vertical_and_horizontal(self): """Test 3 sites. There are no intersections (vertices) in this test. """ p1 = Point(Decimal(40), Decimal(5)) p1_w = Decimal(0) p2 = Point(Decimal(40), Decimal(0)) p2_w = Decimal(0) p3 = Point(Decimal(20), Decimal(0)) p3_w = Decimal(0) site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [bisector_p1_p2, bisector_p1_p3, bisector_p2_p3] expected_vertices = [Point(Decimal("30"), Decimal("2.5"),)] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_4_sites(self): """Test 4 sites.""" p1 = Point(Decimal("40"), Decimal("5")) p1_w = Decimal("2") p2 = Point(Decimal("36.5"), Decimal("-2.4")) p2_w = Decimal("4") p3 = Point(Decimal("23.75"), Decimal("2.25")) p3_w = Decimal("5") p4 = Point(Decimal("19.6"), Decimal("25.6")) p4_w = Decimal("2") site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) site_p4 = WeightedSite(p4.x, p4.y, p4_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p1_p4 = WeightedPointBisector((site_p1, site_p4)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) bisector_p3_p4 = WeightedPointBisector((site_p3, site_p4)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p2, bisector_p1_p3, bisector_p1_p4, bisector_p2_p3, bisector_p3_p4, ] expected_vertices = [ Point( Decimal("30.522802422504742736464322661049664020538330078125"), Decimal("2.581536125410982318584274253225885331630706787109375"), ), Point( Decimal("27.786748740244686217693015350960195064544677734375"), Decimal("13.3062948690129889683930741739459335803985595703125"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("40"), Decimal("5")) p1_w = Decimal("2") p2 = Point(Decimal("36.5"), Decimal("-2.4")) p2_w = Decimal("4") p3 = Point(Decimal("23.75"), Decimal("2.25")) p3_w = Decimal("5") p4 = Point(Decimal("14"), Decimal("4")) p4_w = Decimal("2") site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) site_p4 = WeightedSite(p4.x, p4.y, p4_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p1_p4 = WeightedPointBisector((site_p1, site_p4)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) bisector_p2_p4 = WeightedPointBisector((site_p2, site_p4)) bisector_p3_p4 = WeightedPointBisector((site_p3, site_p4)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p2, bisector_p1_p3, bisector_p1_p4, bisector_p2_p3, bisector_p2_p4, bisector_p3_p4, ] expected_vertices = [ Point( Decimal("30.522802422504742736464322661049664020538330078125"), Decimal("2.581536125410982318584274253225885331630706787109375"), ), Point( Decimal("21.83673459217973089607767178677022457122802734375"), Decimal("-18.2628496544823377689681365154683589935302734375"), ), Point( Decimal("26.51369782967488930580657324753701686859130859375"), Decimal("17.1438564285112278184897149913012981414794921875"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("36.7"), Decimal("1.6")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("13.4"), Decimal("3.4")) p3_w = Decimal("2") p4 = Point(Decimal("52.6"), Decimal("27.4")) p4_w = Decimal("4") site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) site_p4 = WeightedSite(p4.x, p4.y, p4_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p1_p4 = WeightedPointBisector((site_p1, site_p4)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) bisector_p3_p4 = WeightedPointBisector((site_p3, site_p4)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p2, bisector_p1_p3, bisector_p1_p4, bisector_p2_p3, bisector_p3_p4, ] expected_vertices = [ Point( Decimal("23.195022965036205420119586051441729068756103515625"), Decimal("-21.511647174809116478400028427131474018096923828125"), ), Point( Decimal("26.469144622760826024432390113361179828643798828125"), Decimal("20.870038727961539137822910561226308345794677734375"), ), Point( Decimal("26.977832844500397868614527396857738494873046875"), Decimal("27.45472515381070621742765069939196109771728515625"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("36.7"), Decimal("1.6")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("13.4"), Decimal("3.4")) p3_w = Decimal("2") p4 = Point(Decimal("32"), Decimal("2.14")) p4_w = Decimal("4") site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) site_p4 = WeightedSite(p4.x, p4.y, p4_w) points_and_weights = ((p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w)) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p1_p4 = WeightedPointBisector((site_p1, site_p4)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) bisector_p2_p4 = WeightedPointBisector((site_p2, site_p4)) bisector_p3_p4 = WeightedPointBisector((site_p3, site_p4)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p2, bisector_p1_p3, bisector_p1_p4, bisector_p2_p3, bisector_p2_p4, bisector_p3_p4, ] expected_vertices = [ Point( Decimal("23.195022965036205420119586051441729068756103515625"), Decimal("-21.511647174809116478400028427131474018096923828125"), ), Point( Decimal("26.7498329695602734545900602824985980987548828125"), Decimal("24.50339343927415569623917690478265285491943359375"), ), Point( Decimal("25.930130575231569167726775049231946468353271484375"), Decimal("19.569718372035143971743309521116316318511962890625"), ), Point( Decimal("25.913143883533347633374432916752994060516357421875"), Decimal("-11.7365557052741333876610951847396790981292724609375"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_5_sites(self): """Test 5 sites.""" p1 = Point(Decimal("36.7"), Decimal("1.6")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("13.4"), Decimal("3.4")) p3_w = Decimal("2") p4 = Point(Decimal("32"), Decimal("2.14")) p4_w = Decimal("4") p5 = Point(Decimal("28"), Decimal("10")) p5_w = Decimal("1") site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) site_p4 = WeightedSite(p4.x, p4.y, p4_w) site_p5 = WeightedSite(p5.x, p5.y, p5_w) points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) bisector_p1_p2 = WeightedPointBisector((site_p1, site_p2)) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p1_p4 = WeightedPointBisector((site_p1, site_p4)) bisector_p1_p5 = WeightedPointBisector((site_p1, site_p5)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) bisector_p2_p4 = WeightedPointBisector((site_p2, site_p4)) bisector_p2_p5 = WeightedPointBisector((site_p2, site_p5)) bisector_p3_p5 = WeightedPointBisector((site_p3, site_p5)) bisector_p4_p5 = WeightedPointBisector((site_p4, site_p5)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p2, bisector_p1_p3, bisector_p1_p4, bisector_p1_p5, bisector_p2_p3, bisector_p2_p4, bisector_p2_p5, bisector_p3_p5, bisector_p4_p5, ] expected_vertices = [ Point( Decimal("23.195022965036205420119586051441729068756103515625"), Decimal("-21.511647174809116478400028427131474018096923828125"), ), Point( Decimal("25.913143883533347633374432916752994060516357421875"), Decimal("-11.7365557052741333876610951847396790981292724609375"), ), Point( Decimal("27.37706884756726566365614417009055614471435546875"), Decimal("2.395486209641373154255461486172862350940704345703125"), ), Point( Decimal("32.8412086290852442971299751661717891693115234375"), Decimal("5.588553097025879878856358118355274200439453125"), ), Point( Decimal("20.6432720530798832214713911525905132293701171875"), Decimal("5.6026444142095694900262969895265996456146240234375"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("36.7"), Decimal("1.6")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("13.4"), Decimal("3.4")) p3_w = Decimal("2") p4 = Point(Decimal("32"), Decimal("2.14")) p4_w = Decimal("4") p5 = Point(Decimal("27"), Decimal("-13.5")) p5_w = Decimal("1") site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) site_p4 = WeightedSite(p4.x, p4.y, p4_w) site_p5 = WeightedSite(p5.x, p5.y, p5_w) points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p1_p4 = WeightedPointBisector((site_p1, site_p4)) bisector_p1_p5 = WeightedPointBisector((site_p1, site_p5)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) bisector_p2_p4 = WeightedPointBisector((site_p2, site_p4)) bisector_p2_p5 = WeightedPointBisector((site_p2, site_p5)) bisector_p3_p4 = WeightedPointBisector((site_p3, site_p4)) bisector_p3_p5 = WeightedPointBisector((site_p3, site_p5)) bisector_p4_p5 = WeightedPointBisector((site_p4, site_p5)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p3, bisector_p1_p4, bisector_p1_p5, bisector_p2_p3, bisector_p2_p4, bisector_p2_p5, bisector_p3_p4, bisector_p3_p5, bisector_p4_p5, ] expected_vertices = [ Point( Decimal("30.34729940447785878632203093729913234710693359375"), Decimal("-4.37406323830063126223421932081691920757293701171875"), ), Point( Decimal("20.354186410998604372935005812905728816986083984375"), Decimal("-4.28314108153177297566571724019013345241546630859375"), ), Point( Decimal("26.9768707113081092074935440905392169952392578125"), Decimal("-3.181920552671356983154282715986482799053192138671875"), ), Point( Decimal("25.930130575231569167726775049231946468353271484375"), Decimal("19.569718372035143971743309521116316318511962890625"), ), Point( Decimal("26.7498329695602734545900602824985980987548828125"), Decimal("24.50339343927415569623917690478265285491943359375"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("40.1"), Decimal("3")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("16.2"), Decimal("3")) p3_w = Decimal("2") p4 = Point(Decimal("32"), Decimal("4")) p4_w = Decimal("4") p5 = Point(Decimal("19.21"), Decimal("1.59")) p5_w = Decimal("1") site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) site_p4 = WeightedSite(p4.x, p4.y, p4_w) site_p5 = WeightedSite(p5.x, p5.y, p5_w) points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p1_p4 = WeightedPointBisector((site_p1, site_p4)) bisector_p1_p5 = WeightedPointBisector((site_p1, site_p5)) bisector_p2_p4 = WeightedPointBisector((site_p2, site_p4)) bisector_p2_p5 = WeightedPointBisector((site_p2, site_p5)) bisector_p3_p5 = WeightedPointBisector((site_p3, site_p5)) bisector_p4_p5 = WeightedPointBisector((site_p4, site_p5)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p3, bisector_p1_p4, bisector_p1_p5, bisector_p2_p4, bisector_p2_p5, bisector_p3_p5, bisector_p4_p5, ] expected_vertices = [ Point( Decimal("31.13272934807425684766712947748601436614990234375"), Decimal("-8.7569999351260232600679955794475972652435302734375"), ), Point( Decimal("27.95864696372947122426921851001679897308349609375"), Decimal("-0.395718931677663920964960198034532368183135986328125"), ), Point( Decimal("26.7100260252399692717517609708011150360107421875"), Decimal("5.7235016993763085935142953530885279178619384765625"), ), Point( Decimal("28.497320292656983298229533829726278781890869140625"), Decimal("63.47058450654454730965881026349961757659912109375"), ), Point( Decimal("28.149999999995035437905244180001318454742431640625"), Decimal("80.70465905304178022561245597898960113525390625"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_sites_in_same_y(self): """Test sites in same y.""" p1 = Point(Decimal("-20"), Decimal("10")) p1_w = Decimal("1") p2 = Point(Decimal("40"), Decimal("15")) p2_w = Decimal("2") p3 = Point(Decimal("10"), Decimal("8")) p3_w = Decimal("3") p4 = Point(Decimal("11"), Decimal("40")) p4_w = Decimal("4") p5 = Point(Decimal("-25"), Decimal("35")) p5_w = Decimal("5") site_p1 = WeightedSite(p1.x, p1.y, p1_w) site_p2 = WeightedSite(p2.x, p2.y, p2_w) site_p3 = WeightedSite(p3.x, p3.y, p3_w) site_p4 = WeightedSite(p4.x, p4.y, p4_w) site_p5 = WeightedSite(p5.x, p5.y, p5_w) points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) bisector_p1_p3 = WeightedPointBisector((site_p1, site_p3)) bisector_p1_p4 = WeightedPointBisector((site_p1, site_p4)) bisector_p1_p5 = WeightedPointBisector((site_p1, site_p5)) bisector_p2_p3 = WeightedPointBisector((site_p2, site_p3)) bisector_p2_p4 = WeightedPointBisector((site_p2, site_p4)) bisector_p3_p4 = WeightedPointBisector((site_p3, site_p4)) bisector_p4_p5 = WeightedPointBisector((site_p4, site_p5)) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = [ bisector_p1_p3, bisector_p1_p4, bisector_p1_p5, bisector_p2_p3, bisector_p2_p4, bisector_p3_p4, bisector_p4_p5, ] expected_vertices = [ Point( Decimal("21.343778547920823740469131735153496265411376953125"), Decimal("24.265201667101234050960556487552821636199951171875"), ), Point( Decimal("-2.455770410233987011139333844766952097415924072265625"), Decimal("25.049067098689359767149653634987771511077880859375"), ), Point( Decimal("-6.39719423990470570373645387007854878902435302734375"), Decimal("29.160222207705533747912340913899242877960205078125"), ), ] self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) def test_site_in_site(self): """Test site inside another site.""" p1 = Point(Decimal("36.7"), Decimal("1.6")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("13.4"), Decimal("3.4")) p3_w = Decimal("2") p4 = Point(Decimal("32"), Decimal("2.14")) p4_w = Decimal("4") p5 = Point(Decimal("21"), Decimal("2")) p5_w = Decimal("1") points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) # Expected voronoi diagram. points_and_weights = ( (p1, p1_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) expected_voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = expected_voronoi_diagram.bisectors_list expected_vertices = expected_voronoi_diagram.vertices_list self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("36.7"), Decimal("1.6")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("13.4"), Decimal("3.4")) p3_w = Decimal("2") p4 = Point(Decimal("32"), Decimal("4")) p4_w = Decimal("4") p5 = Point(Decimal("21"), Decimal("2")) p5_w = Decimal("1") points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) # Expected voronoi diagram. points_and_weights = ( (p1, p1_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) expected_voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = expected_voronoi_diagram.bisectors_list expected_vertices = expected_voronoi_diagram.vertices_list self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("39.48"), Decimal("7.6")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("15.83"), Decimal("6.7")) p3_w = Decimal("2") p4 = Point(Decimal("32"), Decimal("4")) p4_w = Decimal("4") p5 = Point(Decimal("21"), Decimal("2")) p5_w = Decimal("1") points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) # Expected voronoi diagram. points_and_weights = ( (p1, p1_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) expected_voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = expected_voronoi_diagram.bisectors_list expected_vertices = expected_voronoi_diagram.vertices_list self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("28.36"), Decimal("6.25")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("5") p3 = Point(Decimal("20.27"), Decimal("4.3")) p3_w = Decimal("2") p4 = Point(Decimal("26.2"), Decimal("5.27")) p4_w = Decimal("4") p5 = Point(Decimal("21"), Decimal("2")) p5_w = Decimal("1") points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) # Expected voronoi diagram. points_and_weights = ( (p1, p1_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) expected_voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = expected_voronoi_diagram.bisectors_list expected_vertices = expected_voronoi_diagram.vertices_list self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) p1 = Point(Decimal("28.36"), Decimal("6.25")) p1_w = Decimal("2") p2 = Point(Decimal("23.75"), Decimal("2.25")) p2_w = Decimal("50") p3 = Point(Decimal("20.27"), Decimal("4.3")) p3_w = Decimal("2") p4 = Point(Decimal("26.2"), Decimal("5.27")) p4_w = Decimal("4") p5 = Point(Decimal("21"), Decimal("2")) p5_w = Decimal("1") points_and_weights = ( (p1, p1_w), (p2, p2_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) # Expected voronoi diagram. points_and_weights = ( (p1, p1_w), (p3, p3_w), (p4, p4_w), (p5, p5_w), ) expected_voronoi_diagram = FortunesAlgorithm.calculate_aw_voronoi_diagram( points_and_weights ) expected_bisectors = expected_voronoi_diagram.bisectors_list expected_vertices = expected_voronoi_diagram.vertices_list self._check_bisectors_and_vertex( voronoi_diagram, expected_bisectors, expected_vertices ) TestWeightedSites().test_sites_in_same_y()
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py
Python
base_array/__init__.py
syoukera/opposed_premix
c0525328ca0e7be1c7b999bcb6bf4c4809c1a81f
[ "BSD-2-Clause" ]
null
null
null
base_array/__init__.py
syoukera/opposed_premix
c0525328ca0e7be1c7b999bcb6bf4c4809c1a81f
[ "BSD-2-Clause" ]
null
null
null
base_array/__init__.py
syoukera/opposed_premix
c0525328ca0e7be1c7b999bcb6bf4c4809c1a81f
[ "BSD-2-Clause" ]
null
null
null
from .base_array import * from .state_variables_array import * from .temperature_array import * from .axial_velocity_array import * from .radial_velocity_array import * from .pressure_array import * from .species_array import * from .base_matrix import *
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py
Python
pysyncobj/revision.py
kaxap/PySyncObj
88e8638b2695e9248733fd747fac718a4b42da65
[ "MIT" ]
1
2018-08-30T03:09:14.000Z
2018-08-30T03:09:14.000Z
pysyncobj/revision.py
kaxap/PySyncObj
88e8638b2695e9248733fd747fac718a4b42da65
[ "MIT" ]
null
null
null
pysyncobj/revision.py
kaxap/PySyncObj
88e8638b2695e9248733fd747fac718a4b42da65
[ "MIT" ]
null
null
null
REVISION = '2c8a3263d0dbe3f8d7b8a03e93e86d385c1de558'
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py
Python
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/ratio_based_results/EightThreads_h264ref/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/ratio_based_results/EightThreads_h264ref/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/ratio_based_results/EightThreads_h264ref/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 9.25796e-05, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202761, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.000619859, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.666985, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.15498, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.662412, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.48438, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.659193, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 6.19508, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.000117105, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0241787, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.174873, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.178817, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.17499, 'Execution Unit/Register Files/Runtime Dynamic': 0.202995, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.42259, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.31637, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 4.61188, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00276402, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00276402, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00240125, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000926169, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00256872, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.010498, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.026723, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.171901, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.4765, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.583853, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.26948, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0307546, 'L2/Runtime Dynamic': 0.00964472, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 7.45854, 'Load Store Unit/Data Cache/Runtime Dynamic': 3.00081, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.201278, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.201278, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 8.41289, 'Load Store Unit/Runtime Dynamic': 4.19472, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.496317, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.992633, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.176144, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.176559, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0782552, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.863014, 'Memory Management Unit/Runtime Dynamic': 0.254814, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 29.0322, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000409283, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.0341109, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End 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'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.571995, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction 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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00159312, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000628163, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with 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'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0165595, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.105752, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.299515, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.35918, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96396, 'Instruction Fetch Unit/Runtime Dynamic': 0.78779, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0199144, 'L2/Runtime Dynamic': 0.00585195, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 5.06102, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.84421, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.123712, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.123712, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 5.64522, 'Load Store Unit/Runtime Dynamic': 2.57803, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store 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78855153bdc990d505d87a18bccea521f1eb7abd
16,512
py
Python
PlotResults.py
AndySchroder/CO2Cycle
35773af3b122dbd2e1ee9d41cb541ac8e7349654
[ "Unlicense" ]
3
2019-10-25T04:13:49.000Z
2022-01-14T13:01:39.000Z
PlotResults.py
AndySchroder/CO2Cycle
35773af3b122dbd2e1ee9d41cb541ac8e7349654
[ "Unlicense" ]
null
null
null
PlotResults.py
AndySchroder/CO2Cycle
35773af3b122dbd2e1ee9d41cb541ac8e7349654
[ "Unlicense" ]
1
2021-05-24T02:11:28.000Z
2021-05-24T02:11:28.000Z
############################################################################### ############################################################################### #Copyright (c) 2016, Andy Schroder #See the file README.md for licensing information. ############################################################################### ############################################################################### from Plotters import CreateFigure,SaveTheFigure,ComputeLevels,AddMultiAxisLegend,PlotParameterSweep,PlotCycle from helpers import SmartDictionary,WriteBinaryData import cPickle BaseInputFilePath='outputs/' #single cycle BaseOutputFilePath='/tmp/' CaseName='CO2Cycle-NotOptimizedParameterSweep-PowerTurbineEfficiency' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-MaxPressure' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-MaxPressure-ExtendedRange' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Overall Pressure Ratio') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalOverallPressureRatio.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Main Compressor Pressure Ratio') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalMainCompressorPressureRatio.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='PreCompressor Pressure Ratio') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalPreCompressorPressureRatio.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Recompression Fraction') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalRecompressionFraction.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-RecompressionFraction' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Overall Pressure Ratio') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalOverallPressureRatio.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Main Compressor Pressure Ratio') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalMainCompressorPressureRatio.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='PreCompressor Pressure Ratio') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalPreCompressorPressureRatio.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-ReHeat' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',HorizontalAxisLabel='Number of ReHeat Stages',VerticalAxisMin=46,VerticalAxisMax=51.5) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-ReHeat-ElectricalMainCompressor' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',HorizontalAxisLabel='Number of ReHeat Stages',VerticalAxisMin=46,VerticalAxisMax=51.5) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-PressureRatios' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',ContourLevelMin=30,ContourLevelMax=51) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',PlotSecondAxisAsLines=True) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-Lines.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-PressureRatios-SlightlyHigherPreCompressorPressureRatio' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',ContourLevelMin=30,ContourLevelMax=51) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Recompression Fraction',ContourLevelRoundTo=.1) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalRecompressionFraction-Contour.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-PressureRatios-WithZeroMinDeltaT' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',ContourLevelMin=30,ContourLevelMax=51) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-PressureRatios-WithZeroMinDeltaT-SlightlyHigherPreCompressorPressureRatio' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',ContourLevelMin=30,ContourLevelMax=51) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-RegularAndElectricalMainCompressorEfficiency' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',PlotSecondAxisAsLines=True,SecondAxisLineLabel=['Dedicated Turbine Powered','Power Turbine/Electrically Powered']) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Recompression Fraction',PlotSecondAxisAsLines=True,SecondAxisLineLabel=['Dedicated Turbine Powered','Power Turbine/Electrically Powered']) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalRecompressionFraction.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Main Compressor Pressure Ratio',PlotSecondAxisAsLines=True,SecondAxisLineLabel=['Dedicated Turbine Powered','Power Turbine/Electrically Powered']) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalMainCompressorPressureRatio.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='PreCompressor Pressure Ratio',PlotSecondAxisAsLines=True,SecondAxisLineLabel=['Dedicated Turbine Powered','Power Turbine/Electrically Powered']) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalPreCompressorPressureRatio.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-MinDeltaTAndPressureDrop' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',PlotSecondAxisAsLines=True,SecondAxisLineLabelSuffix='Pa/K') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-Lines.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-MinDeltaTAndPressureDrop-RefinedLowDeltaT' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',PlotSecondAxisAsLines=True,SecondAxisLineLabelSuffix='Pa/K') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-Lines.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-MinDeltaTAndPressureDrop-RefinedLowDeltaT-WithAnotherLowPressureDrop' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',PlotSecondAxisAsLines=True,SecondAxisLineLabelSuffix='Pa/K') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-Lines.pdf') #this plot is not very interesting, so decided not to use it #CaseName='CO2Cycle-OptimizedParameterSweep-MinDeltaTAndPressureDrop' #TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',PlotSecondAxisAsLines=False) #SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-Contour.pdf') CaseName='CO2Cycle-Optimized' CycleParameters=cPickle.load(open(BaseInputFilePath+'/'+CaseName+'/Results.p', 'rb'))[0] WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel=None,HorizontalAxisMaxOverride=3100,VerticalAxisMaxOverride=1100,ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTs.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel='cp',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTscp.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel='Density',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTsrho.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel='gamma',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTsgamma.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel='CompressibilityFactor',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTsCompressibilityFactor.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel='Enthalpy',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTsEnthalpy.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Enthalpy',ContourLevel='Temperature',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CyclehsT.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='SpecificVolume',VerticalAxis='Pressure',ContourLevel='cp',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CyclePvcp.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='SpecificVolume',VerticalAxis='Pressure',ContourLevel='Entropy',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CyclePvs.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='SpecificVolume',VerticalAxis='Pressure',ContourLevel='Temperature',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CyclePvT.pdf') WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Pressure',VerticalAxis='Temperature',ContourLevel='cp',ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTPcp.pdf') CaseName='CO2Cycle-Optimized-ReHeat-0' CycleParameters=cPickle.load(open(BaseInputFilePath+'/'+CaseName+'/Results.p', 'rb'))[0] WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel=None,HorizontalAxisMaxOverride=3100,VerticalAxisMaxOverride=1100,ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTs.pdf') CaseName='CO2Cycle-Optimized-ReHeat-3' CycleParameters=cPickle.load(open(BaseInputFilePath+'/'+CaseName+'/Results.p', 'rb'))[0] WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel=None,HorizontalAxisMaxOverride=3100,VerticalAxisMaxOverride=1100,ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTs.pdf') CaseName='CO2Cycle-Optimized-ReHeat-6' CycleParameters=cPickle.load(open(BaseInputFilePath+'/'+CaseName+'/Results.p', 'rb'))[0] WriteBinaryData(PlotCycle(CycleParameters,HorizontalAxis='Entropy',VerticalAxis='Temperature',ContourLevel=None,HorizontalAxisMaxOverride=3100,VerticalAxisMaxOverride=1100,ImageFileType='pdf'),BaseOutputFilePath+'/'+CaseName+'-CycleTs.pdf') CaseName='CO2Cycle-OptimizedParameterSweep-MaxMinTemperatures' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',PlotSecondAxisAsLines=True,SecondAxisLineLabelSuffix='K') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-Lines.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Exergy Efficiency [%]',PlotSecondAxisAsLines=True,SecondAxisLineLabelSuffix='K') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-ExergyEfficiency-Lines.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',ContourLevelRoundTo=1) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-Contour.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Recompression Fraction',ContourLevelRoundTo=.1) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalRecompressionFraction-Contour.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Main Compressor Outlet Pressure [Pa]',ContourLevelRoundTo=.1) SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-OptimalMainCompressorOutletPressure-Contour.pdf') ############################ #combined cycle ############################ #note, these cases are all commented out since they were added to the paper and don't want to overwrite that with some slightly different plots #when this script is re-run to create the rest of the plots specified in it, if some changes are made to the plotting functions. #note, this folder path has also been changed slightly after the creation of these plots has been commented out. #BaseOutputFilePath='/tmp/' #CaseName='CombinedCycle-OptimizedParameterSweep-GasTurbineCompressorIsentropicEfficiency' #TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',HorizontalAxisMin=0.8,HorizontalAxisMax=0.9) #SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') #CaseName='CombinedCycle-OptimizedParameterSweep-MaxCO2CyclePressure' #TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') #SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') #CaseName='CombinedCycle-OptimizedParameterSweep-NumberOfEngines' #TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') #SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') #CaseName='CombinedCycle-OptimizedParameterSweep-MaxTemperature' #TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') #SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') ############################ BaseOutputFilePath='/tmp/' CaseName='CombinedCycle-OptimizedParameterSweep-MaxMinTemperatures' TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]',PlotSecondAxisAsLines=True,SecondAxisLineLabelSuffix='K') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-Lines.pdf') TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Exergy Efficiency [%]',PlotSecondAxisAsLines=True,SecondAxisLineLabelSuffix='K') SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'-ExergyEfficiency-Lines.pdf') #fuel cell combined cycle #BaseOutputFilePath='./scratch/' #decided to not actually include this one in the dissertation #CaseName='FuelCellCombinedCycle-OptimizedParameterSweep-FuelUtilization' #TheFigure,ThePlot,TheLines=PlotParameterSweep(BaseInputFilePath,CaseName,PlotMagnitudeDescription='Cycle Efficiency [%]') #SaveTheFigure(TheFigure,FileName=BaseOutputFilePath+'/'+CaseName+'.pdf') #need to make horizontal axis multiplied by 100 or take away the % unit
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153ea91725ad28b831e34c546da36b6fac9bdae7
39,445
py
Python
generate_parenthese/solution4.py
noahabe/public_leetcode_solutions
4d5f7001e6f7acc04413ae16ec3eac8f687f38f7
[ "MIT" ]
null
null
null
generate_parenthese/solution4.py
noahabe/public_leetcode_solutions
4d5f7001e6f7acc04413ae16ec3eac8f687f38f7
[ "MIT" ]
null
null
null
generate_parenthese/solution4.py
noahabe/public_leetcode_solutions
4d5f7001e6f7acc04413ae16ec3eac8f687f38f7
[ "MIT" ]
null
null
null
from typing import List class Solution: def generateParenthesis(self, n: int) -> List[str]: d = { 1: ['()'], 2: ['(())', '()()'], 3: ['((()))', '(()())', '()(())', '(())()', '()()()'], 4: ['(((())))', '((()()))', '(()(()))', '()((()))', '((())())', '(()()())', '()(()())', '(())(())', '()()(())', '((()))()', '(()())()', '()(())()', '(())()()', '()()()()'], 5: ['((((()))))', '(((()())))', '((()(())))', '(()((())))', '()(((())))', '(((())()))', '((()()()))', '(()(()()))', '()((()()))', '((())(()))', '(()()(()))', '()(()(()))', '(())((()))', '()()((()))', '(((()))())', '((()())())', '(()(())())', '()((())())', '((())()())', '(()()()())', '()(()()())', '(())(()())', '()()(()())', '((()))(())', '(()())(())', '()(())(())', '(())()(())', '()()()(())', '(((())))()', '((()()))()', '(()(()))()', '()((()))()', '((())())()', '(()()())()', '()(()())()', '(())(())()', '()()(())()', '((()))()()', '(()())()()', '()(())()()', '(())()()()', '()()()()()'], 6: ['(((((())))))', '((((()()))))', '(((()(()))))', '((()((()))))', '(()(((()))))', '()((((()))))', '((((())())))', '(((()()())))', '((()(()())))', '(()((()())))', '()(((()())))', '(((())(())))', '((()()(())))', '(()(()(())))', '()((()(())))', '((())((())))', '(()()((())))', '()(()((())))', '(())(((())))', '()()(((())))', '((((()))()))', '(((()())()))', '((()(())()))', '(()((())()))', '()(((())()))', '(((())()()))', '((()()()()))', '(()(()()()))', '()((()()()))', '((())(()()))', '(()()(()()))', '()(()(()()))', '(())((()()))', '()()((()()))', '(((()))(()))', '((()())(()))', '(()(())(()))', '()((())(()))', '((())()(()))', '(()()()(()))', '()(()()(()))', '(())(()(()))', '()()(()(()))', '((()))((()))', '(()())((()))', '()(())((()))', '(())()((()))', '()()()((()))', '((((())))())', '(((()()))())', '((()(()))())', '(()((()))())', '()(((()))())', '(((())())())', '((()()())())', '(()(()())())', '()((()())())', '((())(())())', '(()()(())())', '()(()(())())', '(())((())())', '()()((())())', '(((()))()())', '((()())()())', '(()(())()())', '()((())()())', '((())()()())', '(()()()()())', '()(()()()())', '(())(()()())', '()()(()()())', '((()))(()())', '(()())(()())', '()(())(()())', '(())()(()())', '()()()(()())', '(((())))(())', '((()()))(())', '(()(()))(())', '()((()))(())', '((())())(())', '(()()())(())', '()(()())(())', '(())(())(())', '()()(())(())', '((()))()(())', '(()())()(())', '()(())()(())', '(())()()(())', '()()()()(())', '((((()))))()', '(((()())))()', '((()(())))()', '(()((())))()', '()(((())))()', '(((())()))()', '((()()()))()', '(()(()()))()', '()((()()))()', '((())(()))()', '(()()(()))()', '()(()(()))()', '(())((()))()', '()()((()))()', '(((()))())()', '((()())())()', '(()(())())()', '()((())())()', '((())()())()', '(()()()())()', '()(()()())()', '(())(()())()', '()()(()())()', '((()))(())()', '(()())(())()', '()(())(())()', '(())()(())()', '()()()(())()', '(((())))()()', '((()()))()()', '(()(()))()()', '()((()))()()', '((())())()()', '(()()())()()', '()(()())()()', '(())(())()()', '()()(())()()', '((()))()()()', '(()())()()()', '()(())()()()', '(())()()()()', '()()()()()()'], 7: ['((((((()))))))', '(((((()())))))', '((((()(())))))', '(((()((())))))', '((()(((())))))', '(()((((())))))', '()(((((())))))', '(((((())()))))', '((((()()()))))', '(((()(()()))))', '((()((()()))))', '(()(((()()))))', '()((((()()))))', '((((())(()))))', '(((()()(()))))', '((()(()(()))))', '(()((()(()))))', '()(((()(()))))', '(((())((()))))', '((()()((()))))', '(()(()((()))))', '()((()((()))))', '((())(((()))))', '(()()(((()))))', '()(()(((()))))', '(())((((()))))', '()()((((()))))', '(((((()))())))', '((((()())())))', '(((()(())())))', '((()((())())))', '(()(((())())))', '()((((())())))', '((((())()())))', '(((()()()())))', '((()(()()())))', '(()((()()())))', '()(((()()())))', '(((())(()())))', '((()()(()())))', '(()(()(()())))', '()((()(()())))', '((())((()())))', '(()()((()())))', '()(()((()())))', '(())(((()())))', '()()(((()())))', '((((()))(())))', '(((()())(())))', '((()(())(())))', '(()((())(())))', '()(((())(())))', '(((())()(())))', '((()()()(())))', '(()(()()(())))', '()((()()(())))', '((())(()(())))', '(()()(()(())))', '()(()(()(())))', '(())((()(())))', '()()((()(())))', '(((()))((())))', '((()())((())))', '(()(())((())))', '()((())((())))', '((())()((())))', '(()()()((())))', '()(()()((())))', '(())(()((())))', '()()(()((())))', '((()))(((())))', '(()())(((())))', '()(())(((())))', '(())()(((())))', '()()()(((())))', '(((((())))()))', '((((()()))()))', '(((()(()))()))', '((()((()))()))', '(()(((()))()))', '()((((()))()))', '((((())())()))', '(((()()())()))', '((()(()())()))', '(()((()())()))', '()(((()())()))', '(((())(())()))', '((()()(())()))', '(()(()(())()))', '()((()(())()))', '((())((())()))', '(()()((())()))', '()(()((())()))', '(())(((())()))', '()()(((())()))', '((((()))()()))', '(((()())()()))', '((()(())()()))', '(()((())()()))', '()(((())()()))', '(((())()()()))', '((()()()()()))', '(()(()()()()))', '()((()()()()))', '((())(()()()))', '(()()(()()()))', '()(()(()()()))', '(())((()()()))', '()()((()()()))', '(((()))(()()))', '((()())(()()))', '(()(())(()()))', '()((())(()()))', '((())()(()()))', '(()()()(()()))', '()(()()(()()))', '(())(()(()()))', '()()(()(()()))', '((()))((()()))', '(()())((()()))', '()(())((()()))', '(())()((()()))', '()()()((()()))', '((((())))(()))', '(((()()))(()))', '((()(()))(()))', '(()((()))(()))', '()(((()))(()))', '(((())())(()))', '((()()())(()))', '(()(()())(()))', '()((()())(()))', '((())(())(()))', '(()()(())(()))', '()(()(())(()))', '(())((())(()))', '()()((())(()))', '(((()))()(()))', '((()())()(()))', '(()(())()(()))', '()((())()(()))', '((())()()(()))', '(()()()()(()))', '()(()()()(()))', '(())(()()(()))', '()()(()()(()))', '((()))(()(()))', '(()())(()(()))', '()(())(()(()))', '(())()(()(()))', '()()()(()(()))', '(((())))((()))', '((()()))((()))', '(()(()))((()))', '()((()))((()))', '((())())((()))', '(()()())((()))', '()(()())((()))', '(())(())((()))', '()()(())((()))', 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1
0
0
8
1592d0305e9c8c17c70a299c5c18f96351fa3d47
4,767
py
Python
tests/test_delivery_service.py
ihnokim/codepack
9d043b2db977de503faf7f5f1370c1424c6cb19f
[ "MIT" ]
2
2021-04-18T17:51:49.000Z
2021-06-22T10:21:30.000Z
tests/test_delivery_service.py
ihnokim/codepack
9d043b2db977de503faf7f5f1370c1424c6cb19f
[ "MIT" ]
24
2021-12-23T18:02:01.000Z
2022-03-27T03:03:38.000Z
tests/test_delivery_service.py
ihnokim/codepack
9d043b2db977de503faf7f5f1370c1424c6cb19f
[ "MIT" ]
1
2021-09-13T12:56:40.000Z
2021-09-13T12:56:40.000Z
from codepack.service import MemoryDeliveryService, FileDeliveryService, MongoDeliveryService from codepack.utils.delivery import Delivery import os def test_memory_delivery_service_check(): mds = MemoryDeliveryService(obj=Delivery) mds.init() sender = 'sender' serial_number = '1234' item = 'Hello, World!' mds.send(id=sender, serial_number=serial_number, item=item) assert isinstance(mds.check(serial_number=serial_number), dict) mds.cancel(serial_number=serial_number) serial_numbers = ['123', '456', '789'] mds.send(id=sender, serial_number=serial_numbers[0], item=item) mds.send(id=sender, serial_number=serial_numbers[1], item=item) check = mds.check(serial_number=serial_numbers) assert isinstance(check, list) assert len(check) == 2 def test_file_delivery_service_check(testdir_delivery_service): fds = FileDeliveryService(obj=Delivery, path=testdir_delivery_service) sender = 'sender' serial_number = '1234' serial_numbers = ['123', '456', '789'] try: fds.cancel(serial_number=serial_number) except Exception: pass for i in serial_numbers: try: fds.cancel(serial_number=i) except Exception: continue item = 'Hello, World!' fds.send(id=sender, serial_number=serial_number, item=item) assert isinstance(fds.check(serial_number=serial_number), dict) fds.cancel(serial_number=serial_number) fds.send(id=sender, serial_number=serial_numbers[0], item=item) fds.send(id=sender, serial_number=serial_numbers[1], item=item) check = fds.check(serial_number=serial_numbers) assert isinstance(check, list) assert len(check) == 2 def test_mongo_delivery_service_check(fake_mongodb): db = 'test' collection = 'cache' mds = MongoDeliveryService(obj=Delivery, mongodb=fake_mongodb, db=db, collection=collection) sender = 'sender' serial_number = '1234' serial_numbers = ['123', '456', '789'] mds.cancel(serial_number=serial_number) for i in serial_numbers: mds.cancel(serial_number=i) item = 'Hello, World!' mds.send(id=sender, serial_number=serial_number, item=item) assert isinstance(mds.check(serial_number=serial_number), dict) mds.cancel(serial_number=serial_number) mds.send(id=sender, serial_number=serial_numbers[0], item=item) mds.send(id=sender, serial_number=serial_numbers[1], item=item) check = mds.check(serial_number=serial_numbers) assert isinstance(check, list) assert len(check) == 2 def test_memory_delivery_service(): mds = MemoryDeliveryService(obj=Delivery) mds.init() sender = 'sender' serial_number = '1234' item = 'Hello, World!' mds.send(id=sender, serial_number=serial_number, item=item) assert serial_number in mds.memory, "'send' failed" check = mds.check(serial_number=serial_number) receive = mds.receive(serial_number=serial_number) assert check['id'] == sender and check['_id'] == serial_number, "'check' failed" assert receive == item, "'receive' failed" mds.cancel(serial_number=serial_number) check2 = mds.check(serial_number=serial_number) assert not check2, "'cancel' failed" def test_file_delivery_service(testdir_delivery_service): fds = FileDeliveryService(obj=Delivery, path=testdir_delivery_service) sender = 'sender' serial_number = '1234' item = 'Hello, World!' fds.send(id=sender, serial_number=serial_number, item=item) assert os.path.isfile(Delivery.get_path(serial_number=serial_number, path=fds.path)), "'send' failed" check = fds.check(serial_number=serial_number) receive = fds.receive(serial_number=serial_number) assert check['id'] == sender and check['_id'] == serial_number, "'check' failed" assert receive == item, "'receive' error" fds.cancel(serial_number=serial_number) check2 = fds.check(serial_number=serial_number) assert not check2, "'cancel' error" def test_mongo_delivery_service(fake_mongodb): db = 'test' collection = 'cache' mds = MongoDeliveryService(obj=Delivery, mongodb=fake_mongodb, db=db, collection=collection) sender = 'sender' serial_number = '1234' item = 'Hello, World!' mds.send(id=sender, serial_number=serial_number, item=item) assert fake_mongodb[db][collection].find_one({'_id': serial_number}), "'send' failed" check = mds.check(serial_number=serial_number) receive = mds.receive(serial_number=serial_number) assert check['id'] == sender and check['_id'] == serial_number, "'check' failed" assert receive == item, "'receive' error" mds.cancel(serial_number=serial_number) check2 = mds.check(serial_number=serial_number) assert not check2, "'cancel' error"
40.398305
105
0.718901
615
4,767
5.360976
0.108943
0.276615
0.202002
0.196542
0.88899
0.826509
0.751896
0.751896
0.750076
0.750076
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0.016546
0.163205
4,767
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40.74359
0.809977
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0.057143
false
0.009524
0.028571
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10
ec5c569ab9c348ae816036fa352c740dabdf7e05
58,211
py
Python
octopus_deploy_swagger_client/octopus_deploy_client/project_triggers_api.py
cvent/octopus-deploy-api-client
0e03e842e1beb29b132776aee077df570b88366a
[ "Apache-2.0" ]
null
null
null
octopus_deploy_swagger_client/octopus_deploy_client/project_triggers_api.py
cvent/octopus-deploy-api-client
0e03e842e1beb29b132776aee077df570b88366a
[ "Apache-2.0" ]
null
null
null
octopus_deploy_swagger_client/octopus_deploy_client/project_triggers_api.py
cvent/octopus-deploy-api-client
0e03e842e1beb29b132776aee077df570b88366a
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 """ Octopus Server API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 2019.6.7+Branch.tags-2019.6.7.Sha.aa18dc6809953218c66f57eff7d26481d9b23d6a Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from octopus_deploy_swagger_client.api_client import ApiClient class ProjectTriggersApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource(self, **kwargs): # noqa: E501 """Get a list of ProjectTriggerResources # noqa: E501 Lists all the project triggers for the given project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource(async_req=True) >>> result = thread.get() :param async_req bool :param int skip: Number of items to skip :param int take: Number of items to take :return: ResourceCollectionProjectResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_with_http_info(**kwargs) # noqa: E501 else: (data) = self.child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_with_http_info(**kwargs) # noqa: E501 return data def child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_with_http_info(self, **kwargs): # noqa: E501 """Get a list of ProjectTriggerResources # noqa: E501 Lists all the project triggers for the given project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int skip: Number of items to skip :param int take: Number of items to take :return: ResourceCollectionProjectResource If the method is called asynchronously, returns the request thread. """ all_params = ['skip', 'take'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'skip' in params: query_params.append(('skip', params['skip'])) # noqa: E501 if 'take' in params: query_params.append(('take', params['take'])) # 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 = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/projects/{id}/triggers', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceCollectionProjectResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_spaces(self, base_space_id, **kwargs): # noqa: E501 """Get a list of ProjectTriggerResources # noqa: E501 Lists all the project triggers for the given project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_spaces(base_space_id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param int skip: Number of items to skip :param int take: Number of items to take :return: ResourceCollectionProjectResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501 else: (data) = self.child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501 return data def child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_spaces_with_http_info(self, base_space_id, **kwargs): # noqa: E501 """Get a list of ProjectTriggerResources # noqa: E501 Lists all the project triggers for the given project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_spaces_with_http_info(base_space_id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param int skip: Number of items to skip :param int take: Number of items to take :return: ResourceCollectionProjectResource If the method is called asynchronously, returns the request thread. """ all_params = ['base_space_id', 'skip', 'take'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_spaces" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'base_space_id' is set if ('base_space_id' not in params or params['base_space_id'] is None): raise ValueError("Missing the required parameter `base_space_id` when calling `child_index_response_descriptor_projects_project_projects_project_trigger_project_trigger_project_resource_project_trigger_resource_spaces`") # noqa: E501 collection_formats = {} path_params = {} if 'base_space_id' in params: path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501 query_params = [] if 'skip' in params: query_params.append(('skip', params['skip'])) # noqa: E501 if 'take' in params: query_params.append(('take', params['take'])) # 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 = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/{baseSpaceId}/projects/{id}/triggers', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceCollectionProjectResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(self, **kwargs): # noqa: E501 """Create a ProjectTriggerResource # noqa: E501 Creates a new project trigger # 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_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(async_req=True) >>> result = thread.get() :param async_req bool :param ProjectTriggerResource project_trigger_resource: The ProjectTriggerResource resource to create :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(**kwargs) # noqa: E501 else: (data) = self.create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(**kwargs) # noqa: E501 return data def create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(self, **kwargs): # noqa: E501 """Create a ProjectTriggerResource # noqa: E501 Creates a new project trigger # 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_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param ProjectTriggerResource project_trigger_resource: The ProjectTriggerResource resource to create :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ all_params = ['project_trigger_resource'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_trigger_resource' in params: body_params = params['project_trigger_resource'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/projecttriggers', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectTriggerResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(self, base_space_id, **kwargs): # noqa: E501 """Create a ProjectTriggerResource # noqa: E501 Creates a new project trigger # 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_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(base_space_id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param ProjectTriggerResource project_trigger_resource: The ProjectTriggerResource resource to create :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501 else: (data) = self.create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501 return data def create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(self, base_space_id, **kwargs): # noqa: E501 """Create a ProjectTriggerResource # noqa: E501 Creates a new project trigger # 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_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param ProjectTriggerResource project_trigger_resource: The ProjectTriggerResource resource to create :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ all_params = ['base_space_id', 'project_trigger_resource'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'base_space_id' is set if ('base_space_id' not in params or params['base_space_id'] is None): raise ValueError("Missing the required parameter `base_space_id` when calling `create_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces`") # noqa: E501 collection_formats = {} path_params = {} if 'base_space_id' in params: path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_trigger_resource' in params: body_params = params['project_trigger_resource'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/{baseSpaceId}/projecttriggers', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectTriggerResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(self, id, **kwargs): # noqa: E501 """Delete a ProjectTriggerResource by ID # noqa: E501 Deletes an existing project trigger. # 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_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: ID of the ProjectTriggerResource to delete (required) :return: TaskResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, **kwargs) # noqa: E501 return data def delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(self, id, **kwargs): # noqa: E501 """Delete a ProjectTriggerResource by ID # noqa: E501 Deletes an existing project trigger. # 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_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: ID of the ProjectTriggerResource to delete (required) :return: TaskResource If the method is called asynchronously, returns the request thread. """ 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') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = 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 = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/projecttriggers/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(self, base_space_id, id, **kwargs): # noqa: E501 """Delete a ProjectTriggerResource by ID # noqa: E501 Deletes an existing project trigger. # 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_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(base_space_id, id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param str id: ID of the ProjectTriggerResource to delete (required) :return: TaskResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501 else: (data) = self.delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501 return data def delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(self, base_space_id, id, **kwargs): # noqa: E501 """Delete a ProjectTriggerResource by ID # noqa: E501 Deletes an existing project trigger. # 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_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param str id: ID of the ProjectTriggerResource to delete (required) :return: TaskResource If the method is called asynchronously, returns the request thread. """ all_params = ['base_space_id', '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') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'base_space_id' is set if ('base_space_id' not in params or params['base_space_id'] is None): raise ValueError("Missing the required parameter `base_space_id` when calling `delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces`") # noqa: E501 # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `delete_on_background_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces`") # noqa: E501 collection_formats = {} path_params = {} if 'base_space_id' in params: path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501 if 'id' in params: path_params['id'] = 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 = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/{baseSpaceId}/projecttriggers/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TaskResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(self, **kwargs): # noqa: E501 """Get a list of ProjectTriggerResources # noqa: E501 Gets all the project triggers in the supplied Octopus Deploy Space, sorted by Id # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(async_req=True) >>> result = thread.get() :param async_req bool :param int skip: Number of items to skip :param int take: Number of items to take :return: ResourceCollectionProjectTriggerResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(**kwargs) # noqa: E501 else: (data) = self.index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(**kwargs) # noqa: E501 return data def index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(self, **kwargs): # noqa: E501 """Get a list of ProjectTriggerResources # noqa: E501 Gets all the project triggers in the supplied Octopus Deploy Space, sorted by Id # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int skip: Number of items to skip :param int take: Number of items to take :return: ResourceCollectionProjectTriggerResource If the method is called asynchronously, returns the request thread. """ all_params = ['skip', 'take'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'skip' in params: query_params.append(('skip', params['skip'])) # noqa: E501 if 'take' in params: query_params.append(('take', params['take'])) # 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 = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/projecttriggers', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceCollectionProjectTriggerResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(self, base_space_id, **kwargs): # noqa: E501 """Get a list of ProjectTriggerResources # noqa: E501 Gets all the project triggers in the supplied Octopus Deploy Space, sorted by Id # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(base_space_id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param int skip: Number of items to skip :param int take: Number of items to take :return: ResourceCollectionProjectTriggerResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501 else: (data) = self.index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, **kwargs) # noqa: E501 return data def index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(self, base_space_id, **kwargs): # noqa: E501 """Get a list of ProjectTriggerResources # noqa: E501 Gets all the project triggers in the supplied Octopus Deploy Space, sorted by Id # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param int skip: Number of items to skip :param int take: Number of items to take :return: ResourceCollectionProjectTriggerResource If the method is called asynchronously, returns the request thread. """ all_params = ['base_space_id', 'skip', 'take'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'base_space_id' is set if ('base_space_id' not in params or params['base_space_id'] is None): raise ValueError("Missing the required parameter `base_space_id` when calling `index_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces`") # noqa: E501 collection_formats = {} path_params = {} if 'base_space_id' in params: path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501 query_params = [] if 'skip' in params: query_params.append(('skip', params['skip'])) # noqa: E501 if 'take' in params: query_params.append(('take', params['take'])) # 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 = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/{baseSpaceId}/projecttriggers', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceCollectionProjectTriggerResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(self, id, **kwargs): # noqa: E501 """Get a ProjectTriggerResource by ID # noqa: E501 Get a project trigger # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: ID of the ProjectTriggerResource to load (required) :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, **kwargs) # noqa: E501 return data def load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(self, id, **kwargs): # noqa: E501 """Get a ProjectTriggerResource by ID # noqa: E501 Get a project trigger # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: ID of the ProjectTriggerResource to load (required) :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ 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') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = 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 = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/projecttriggers/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectTriggerResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(self, base_space_id, id, **kwargs): # noqa: E501 """Get a ProjectTriggerResource by ID # noqa: E501 Get a project trigger # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(base_space_id, id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param str id: ID of the ProjectTriggerResource to load (required) :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501 else: (data) = self.load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501 return data def load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(self, base_space_id, id, **kwargs): # noqa: E501 """Get a ProjectTriggerResource by ID # noqa: E501 Get a project trigger # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param str id: ID of the ProjectTriggerResource to load (required) :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ all_params = ['base_space_id', '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') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'base_space_id' is set if ('base_space_id' not in params or params['base_space_id'] is None): raise ValueError("Missing the required parameter `base_space_id` when calling `load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces`") # noqa: E501 # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `load_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces`") # noqa: E501 collection_formats = {} path_params = {} if 'base_space_id' in params: path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501 if 'id' in params: path_params['id'] = 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 = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/{baseSpaceId}/projecttriggers/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectTriggerResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(self, id, **kwargs): # noqa: E501 """Modify a ProjectTriggerResource by ID # noqa: E501 Updates an existing project trigger # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: ID of the ProjectTriggerResource to modify (required) :param ProjectTriggerResource project_trigger_resource: The ProjectTriggerResource resource to create :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, **kwargs) # noqa: E501 return data def modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(self, id, **kwargs): # noqa: E501 """Modify a ProjectTriggerResource by ID # noqa: E501 Updates an existing project trigger # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: ID of the ProjectTriggerResource to modify (required) :param ProjectTriggerResource project_trigger_resource: The ProjectTriggerResource resource to create :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'project_trigger_resource'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_trigger_resource' in params: body_params = params['project_trigger_resource'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/projecttriggers/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectTriggerResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(self, base_space_id, id, **kwargs): # noqa: E501 """Modify a ProjectTriggerResource by ID # noqa: E501 Updates an existing project trigger # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces(base_space_id, id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param str id: ID of the ProjectTriggerResource to modify (required) :param ProjectTriggerResource project_trigger_resource: The ProjectTriggerResource resource to create :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501 else: (data) = self.modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, **kwargs) # noqa: E501 return data def modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(self, base_space_id, id, **kwargs): # noqa: E501 """Modify a ProjectTriggerResource by ID # noqa: E501 Updates an existing project trigger # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces_with_http_info(base_space_id, id, async_req=True) >>> result = thread.get() :param async_req bool :param str base_space_id: ID of the space (required) :param str id: ID of the ProjectTriggerResource to modify (required) :param ProjectTriggerResource project_trigger_resource: The ProjectTriggerResource resource to create :return: ProjectTriggerResource If the method is called asynchronously, returns the request thread. """ all_params = ['base_space_id', 'id', 'project_trigger_resource'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'base_space_id' is set if ('base_space_id' not in params or params['base_space_id'] is None): raise ValueError("Missing the required parameter `base_space_id` when calling `modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces`") # noqa: E501 # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `modify_response_descriptor_projects_project_trigger_project_trigger_project_trigger_resource_spaces`") # noqa: E501 collection_formats = {} path_params = {} if 'base_space_id' in params: path_params['baseSpaceId'] = params['base_space_id'] # noqa: E501 if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_trigger_resource' in params: body_params = params['project_trigger_resource'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyHeader', 'APIKeyQuery', 'NugetApiKeyHeader'] # noqa: E501 return self.api_client.call_api( '/api/{baseSpaceId}/projecttriggers/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectTriggerResource', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)
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8
ec5e73c8a217b6f98c9fb4387d83ebc1916b4542
12,624
py
Python
interface.py
serkkz/PandaTools
0541446768522b5172f4464c8387a622884d090b
[ "BSD-3-Clause" ]
1
2022-01-22T11:42:43.000Z
2022-01-22T11:42:43.000Z
interface.py
serkkz/PandaTools
0541446768522b5172f4464c8387a622884d090b
[ "BSD-3-Clause" ]
null
null
null
interface.py
serkkz/PandaTools
0541446768522b5172f4464c8387a622884d090b
[ "BSD-3-Clause" ]
null
null
null
import bpy class Setting(bpy.types.Panel): bl_idname = "SETTING_PT_Panel" bl_label = "Settings" bl_category = "Panda3DTools" bl_space_type = 'VIEW_3D' bl_region_type = 'UI' def draw(self, context): layout = self.layout layout.prop(context.scene.hatcher, 'ful_path_project', text='Directory project') # Если список выбранных объектов пуст. if context.selected_objects == []: layout.prop(context.scene.hatcher, 'rel_path_scene', text='Relative catalog') # Если нет. else: # Проверяем количество объектов. if len(context.selected_objects) >=2: layout.prop(context.scene.hatcher, 'rel_path_other', text='Relative catalog') else: layout.prop(context.object.hatcher, 'rel_path_object', text='Relative catalog') class Selected(bpy.types.Panel): bl_idname = "SELECTED_PT_Panel" bl_label = "Selected" bl_category = "Panda3DTools" bl_space_type = 'VIEW_3D' bl_region_type = 'UI' @classmethod def poll(cls, context): return (len(context.selected_objects) >=2) def draw(self, context): layout = self.layout layout.prop(context.scene.hatcher, "file_name_selected", text='File name') main = layout.row() export_selected = main.row(align = True) if not context.scene.hatcher.file_name_selected == '': export_selected.operator("ui.export_selected", text="Export selected with merge.") else: export_selected.operator("ui.export_selected", text="Export selected separately.") class Scene(bpy.types.Panel): bl_idname = "SCENE_PT_Panel" bl_label = "Scene" bl_category = "Panda3DTools" bl_space_type = 'VIEW_3D' bl_region_type = 'UI' @classmethod def poll(cls, context): return (context.selected_objects == []) def draw(self, context): layout = self.layout layout.prop(context.scene, "name", text='File name') main = layout.row() export_scene = main.row(align = True) export_scene.operator("ui.export_scene", text="Export scene") class Mesh(bpy.types.Panel): bl_idname = "MESH_PT_Panel" bl_label = "Mesh" bl_category = "Panda3DTools" bl_space_type = 'VIEW_3D' bl_region_type = 'UI' @classmethod def poll(cls, context): return (context.active_object is not None and context.active_object.type == 'MESH' and context.selected_objects != [] and len(context.selected_objects) <=1) def draw(self, context): layout = self.layout layout.prop(context.object.hatcher, "type_mesh", text="Mesh type") layout.prop(context.object, "name", text='File name') main = layout.row() options = layout.box() if context.object.hatcher.type_mesh == "Render": export_objects = main.row(align = True) export_objects.operator("ui.export_object", text="Export Mesh") mask = options.split() mask.label(text='Mask draw:') mask.prop(context.object.hatcher, "draw_mask_1", text = "") mask.prop(context.object.hatcher, "draw_mask_2", text = "") mask.prop(context.object.hatcher, "draw_mask_3", text = "") mask.prop(context.object.hatcher, "draw_mask_4", text = "") mask.prop(context.object.hatcher, "draw_mask_5", text = "") mask.prop(context.object.hatcher, "draw_mask_6", text = "") mask.prop(context.object.hatcher, "draw_mask_7", text = "") mask.prop(context.object.hatcher, "draw_mask_8", text = "") if context.object.hatcher.type_mesh == "Collision": export_objects = main.row(align = True) functions = export_objects.split() functions.operator("ui.check_quad", text="Checking not Quad") functions.operator("ui.check_coplanarity", text="Checking not Coplanarity") functions.operator("ui.export_object", text="Export Collision") # Если есть слоты материала. if len(context.object.data.materials) >> 0: if hasattr(context.object.active_material, 'name'): options.prop(context.object.active_material.hatcher, "visibility_collision_polygons", text = "Show collision polygons") mask = options.split() mask.label(text='Mask from:') mask.prop(context.object.active_material.hatcher, "from_mask_1", text = "") mask.prop(context.object.active_material.hatcher, "from_mask_2", text = "") mask.prop(context.object.active_material.hatcher, "from_mask_3", text = "") mask.prop(context.object.active_material.hatcher, "from_mask_4", text = "") mask.prop(context.object.active_material.hatcher, "from_mask_5", text = "") mask.prop(context.object.active_material.hatcher, "from_mask_6", text = "") mask.prop(context.object.active_material.hatcher, "from_mask_7", text = "") mask.prop(context.object.active_material.hatcher, "from_mask_8", text = "") mask = options.split() mask.label(text='Mask into:') mask.prop(context.object.active_material.hatcher, "into_mask_1", text = "") mask.prop(context.object.active_material.hatcher, "into_mask_2", text = "") mask.prop(context.object.active_material.hatcher, "into_mask_3", text = "") mask.prop(context.object.active_material.hatcher, "into_mask_4", text = "") mask.prop(context.object.active_material.hatcher, "into_mask_5", text = "") mask.prop(context.object.active_material.hatcher, "into_mask_6", text = "") mask.prop(context.object.active_material.hatcher, "into_mask_7", text = "") mask.prop(context.object.active_material.hatcher, "into_mask_8", text = "") else: options.prop(context.object.hatcher, "visibility_collision_polygons", text = "Show collision polygons") mask = options.split() mask.label(text='Mask from:') mask.prop(context.object.hatcher, "from_mask_1", text = "") mask.prop(context.object.hatcher, "from_mask_2", text = "") mask.prop(context.object.hatcher, "from_mask_3", text = "") mask.prop(context.object.hatcher, "from_mask_4", text = "") mask.prop(context.object.hatcher, "from_mask_5", text = "") mask.prop(context.object.hatcher, "from_mask_6", text = "") mask.prop(context.object.hatcher, "from_mask_7", text = "") mask.prop(context.object.hatcher, "from_mask_8", text = "") mask = options.split() mask.label(text='Mask into:') mask.prop(context.object.hatcher, "into_mask_1", text = "") mask.prop(context.object.hatcher, "into_mask_2", text = "") mask.prop(context.object.hatcher, "into_mask_3", text = "") mask.prop(context.object.hatcher, "into_mask_4", text = "") mask.prop(context.object.hatcher, "into_mask_5", text = "") mask.prop(context.object.hatcher, "into_mask_6", text = "") mask.prop(context.object.hatcher, "into_mask_7", text = "") mask.prop(context.object.hatcher, "into_mask_8", text = "") else: options.prop(context.object.hatcher, "visibility_collision_polygons", text = "Show collision polygons") mask = options.split() mask.label(text='Mask from:') mask.prop(context.object.hatcher, "from_mask_1", text = "") mask.prop(context.object.hatcher, "from_mask_2", text = "") mask.prop(context.object.hatcher, "from_mask_3", text = "") mask.prop(context.object.hatcher, "from_mask_4", text = "") mask.prop(context.object.hatcher, "from_mask_5", text = "") mask.prop(context.object.hatcher, "from_mask_6", text = "") mask.prop(context.object.hatcher, "from_mask_7", text = "") mask.prop(context.object.hatcher, "from_mask_8", text = "") mask = options.split() mask.label(text='Mask into:') mask.prop(context.object.hatcher, "into_mask_1", text = "") mask.prop(context.object.hatcher, "into_mask_2", text = "") mask.prop(context.object.hatcher, "into_mask_3", text = "") mask.prop(context.object.hatcher, "into_mask_4", text = "") mask.prop(context.object.hatcher, "into_mask_5", text = "") mask.prop(context.object.hatcher, "into_mask_6", text = "") mask.prop(context.object.hatcher, "into_mask_7", text = "") mask.prop(context.object.hatcher, "into_mask_8", text = "") if context.mode == 'EDIT_MESH': export_objects.enabled = False class Camera(bpy.types.Panel): bl_idname = "CAMERA_PT_Panel" bl_label = "Camera" bl_category = "Panda3DTools" bl_space_type = 'VIEW_3D' bl_region_type = 'UI' @classmethod def poll(cls, context): return (context.active_object is not None and context.active_object.type == 'CAMERA' and context.selected_objects != [] and len(context.selected_objects) <=1) def draw(self, context): layout = self.layout layout.prop(context.object, "name", text='File name') main = layout.row() export_objects = main.row(align = True) export_objects.operator("ui.export_object", text="Export camera") if context.active_object.data.type == 'PANO': layout.label(text='This type of lens is not supported!') export_objects.enabled = False options = layout.box() options.prop(context.object.hatcher, "camera_active", text = "Сamera active") options.prop(context.object.hatcher, "coordinate_system", text = "Сoordinate system") mask = options.split() mask.label(text='Mask draw:') mask.prop(context.object.hatcher, "draw_mask_1", text = "") mask.prop(context.object.hatcher, "draw_mask_2", text = "") mask.prop(context.object.hatcher, "draw_mask_3", text = "") mask.prop(context.object.hatcher, "draw_mask_4", text = "") mask.prop(context.object.hatcher, "draw_mask_5", text = "") mask.prop(context.object.hatcher, "draw_mask_6", text = "") mask.prop(context.object.hatcher, "draw_mask_7", text = "") mask.prop(context.object.hatcher, "draw_mask_8", text = "") class Light(bpy.types.Panel): bl_idname = "LIGHT_PT_Panel" bl_label = "Light" bl_category = "Panda3DTools" bl_space_type = 'VIEW_3D' bl_region_type = 'UI' @classmethod def poll(cls, context): return (context.active_object is not None and context.active_object.type == 'LIGHT' and context.selected_objects != [] and len(context.selected_objects) <=1) def draw(self, context): layout = self.layout layout.prop(context.object, "name", text='File name') if bpy.data.lights[context.selected_objects[0].data.name].type == 'POINT': layout.label(text='PointLight') if bpy.data.lights[context.selected_objects[0].data.name].type == 'SPOT': layout.label(text='SpotLight') if bpy.data.lights[context.selected_objects[0].data.name].type == 'SUN': layout.label(text='DirectionalLight') main = layout.row() export_objects = main.row(align = True) export_objects.operator("ui.export_object", text="Export light")
42.505051
140
0.57557
1,412
12,624
4.951841
0.088527
0.124285
0.17992
0.19222
0.829519
0.784325
0.755292
0.740561
0.735555
0.712386
0
0.009579
0.297053
12,624
297
141
42.505051
0.778341
0.008238
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0.007119
0
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0.051402
false
0
0.004673
0.023364
0.247664
0
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null
0
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0
7
ec67121c03ce821cacd863861e57fe31527466e8
21,631
py
Python
Scripts/read_AMIP6.py
muskanmahajan37/aa
8cc72f8b36da0f76ba019a6d0200c33f951d5f57
[ "MIT" ]
3
2020-03-06T12:22:02.000Z
2022-02-22T00:32:29.000Z
Scripts/read_AMIP6.py
muskanmahajan37/aa
8cc72f8b36da0f76ba019a6d0200c33f951d5f57
[ "MIT" ]
null
null
null
Scripts/read_AMIP6.py
muskanmahajan37/aa
8cc72f8b36da0f76ba019a6d0200c33f951d5f57
[ "MIT" ]
2
2021-02-12T19:19:44.000Z
2022-02-21T12:33:03.000Z
""" Functions read in monthly data from the 6 AMIP experiments. Data is available over the 1979-2016 period (38 years) and sorted by month (12). The AMIP simulations use SC-WACCM4 with historical forcings and RCP 4.5. The experiment with all forcings is called AMQS. Note that the first year (1978) is removed due to model spin-up. Notes ----- Author : Zachary Labe Date : 25 March 2020 Usage ----- [1] readAMIP6(variable,experiment,level,detrend,sliceeq) """ def readAMIP6(variableq,experiment,level,detrend,sliceeq,period): """ Function reads monthly data from all 6 AMIP experiment Parameters ---------- variableq : string variable name to read experiment : string experiment name (CSST, CSIC, AMIP, AMS, AMQ, AMQS) level : string Height of variable (surface or profile) detrend : binary True/False whether to remove a linear trend at all grid points sliceeq : binary True/False whether to slice at the equator for only northern hemisphere period : string Time of analysis Returns ------- lat : 1d numpy array latitudes lon : 1d numpy array longitudes time : 1d numpy array standard time (months since 1978-1-15, 00:00:00) lev : 1d numpy array levels (17) var : 5d numpy array or 6d numpy array [ensemble,year,month,lat,lon] or [ensemble,year,month,level,lat,lon] Usage ----- lat,lon,time,lev,var = readAMIP6(variableq,experiment,level,detrend) """ print('\n>>> Using readAMIP6 function! \n') ########################################################################### ########################################################################### ########################################################################### ### Import modules import numpy as np from netCDF4 import Dataset import calc_Detrend as DT import calc_Utilities as UT ### Declare knowns ensembles = 10 months = 12 years = np.arange(1979,2016+1,1) ### Directory for experiments (remote server - Seley) directorydata = '/seley/zlabe/simu/' ########################################################################### ########################################################################### variable = variableq ########################################################################### ########################################################################### ########################################################################### ### Read in lat,lon,time from known file if level == 'surface': # 3d variables dataq = Dataset(directorydata + '%s1/monthly/T2M_1978-2016.nc' % experiment) time = dataq.variables['time'][12:] lev = 'surface' lat = dataq.variables['latitude'][:] lon = dataq.variables['longitude'][:] dataq.close() ########################################################################### ########################################################################### if sliceeq == False: ### Create empty variable varq = np.empty((ensembles,time.shape[0], lat.shape[0],lon.shape[0])) varq[:,:,:,:] = np.nan ### fill with nans elif sliceeq == True: ### Slice for Northern Hemisphere latq = np.where(lat >= 0)[0] lat = lat[latq] ### Create empty variable varq = np.empty((ensembles,time.shape[0], lat.shape[0],lon.shape[0])) varq[:,:,:,:] = np.nan ### fill with nans print('SLICE for Northern Hemisphere!') else: print(ValueError('Selected wrong slicing!')) ########################################################################### ########################################################################### elif level == 'profile': # 4d variables dataq = Dataset(directorydata + '%s1/monthly/TEMP_1978-2016.nc' % experiment) time = dataq.variables['time'][12:] lev = dataq.variables['level'][:] lat = dataq.variables['latitude'][:] lon = dataq.variables['longitude'][:] dataq.close() ########################################################################### ########################################################################### if sliceeq == False: ### Create empty variable varq = np.empty((ensembles,time.shape[0],lev.shape[0], lat.shape[0],lon.shape[0])) varq[:,:,:,:,:] = np.nan ### fill with nans elif sliceeq == True: ### Slice for Northern Hemisphere latq = np.where(lat >= 0)[0] lat = lat[latq] ### Create empty variable varq = np.empty((ensembles,time.shape[0],lev.shape[0], lat.shape[0],lon.shape[0])) varq[:,:,:,:,:] = np.nan ### fill with nans print('SLICE for Northern Hemisphere!') else: print(ValueError('Selected wrong slicing!')) ########################################################################### ########################################################################### else: print(ValueError('Selected wrong height - (surface or profile!)!')) ########################################################################### ########################################################################### ### Path name for file for each ensemble member for i in range(ensembles): filename = directorydata + '%s%s/' % (experiment,i+1) + \ 'monthly/' + variable + '_1978-2016.nc' ########################################################################### ########################################################################### ### Read in Data if sliceeq == False: if level == 'surface': # 3d variables data = Dataset(filename,'r') varq[i,:,:,:] = data.variables[variable][12:468,:,:] data.close() print('Completed: Read data %s%s- %s!' % (experiment, i+1,variable)) elif level == 'profile': # 4d variables data = Dataset(filename,'r') varq[i,:,:,:,:] = data.variables[variable][12:468,:,:,:] data.close() print('Completed: Read data %s%s- %s!' % (experiment, i+1,variable)) else: print(ValueError('Selected wrong height - (surface or profile!)!')) ########################################################################### ########################################################################### elif sliceeq == True: if level == 'surface': # 3d variables data = Dataset(filename,'r') varq[i,:,:,:] = data.variables[variable][12:468,latq,:] data.close() print('Completed: Read data %s%s- %s!' % (experiment, i+1,variable)) elif level == 'profile': # 4d variables data = Dataset(filename,'r') varq[i,:,:,:,:] = data.variables[variable][12:468,:,latq,:] data.close() print('Completed: Read data %s%s- %s!' % (experiment, i+1,variable)) else: print(ValueError('Selected wrong height - (surface or profile!)!')) ########################################################################### ########################################################################### ########################################################################### ### Reshape to split years and months if level == 'surface': # 3d variables var = np.reshape(varq,(ensembles,varq.shape[1]//12,months, lat.shape[0],lon.shape[0])) elif level == 'profile': # 4d variables var = np.reshape(varq,(ensembles,varq.shape[1]//12,months,lev.shape[0], lat.shape[0],lon.shape[0])) else: print(ValueError('Selected wrong height - (surface or profile!)!')) print('\nCompleted: Reshaped %s array!' % (variable)) ### Save computer memory del varq ########################################################################### ########################################################################### ########################################################################### ### Convert units if variable in ('TEMP','T2M'): var = var - 273.15 # Kelvin to degrees Celsius print('Completed: Changed units (K to C)!') elif variable == 'SWE': var = var*1000. # Meters to Millimeters print('Completed: Changed units (m to mm)!') ########################################################################### ########################################################################### ########################################################################### ### Missing data (fill value to nans) var[np.where(var <= -8.99999987e+33)] = np.nan print('Completed: Filled missing data to nan!') ### Detrend data if turned on if detrend == True: var = DT.detrendData(var,level,'monthly') ### Slice over month(s) of interest if level == 'surface': if period == 'Annual': varm = np.nanmean(var[:,:,:,:,:],axis=3) if period == 'OND': varm = np.nanmean(var[:,:,-3:,:,:],axis=3) elif period == 'ND': varm = np.nanmean(var[:,:,-2:,:,:],axis=3) elif period == 'D': varm = var[:,:,-1:,:,:].squeeze() elif period == 'F': varm = var[:,:,1,:,:].squeeze() elif period == 'FM': varm = var[:,:,1:3,:,:].squeeze() elif period == 'JFM': varm = np.nanmean(var[:,:,0:3,:,:],axis=3) elif period == 'DJF': varm = np.empty((var.shape[0],var.shape[1]-1,var.shape[3], var.shape[4])) for j in range(var.shape[0]): varm[j,:,:,:] = UT.calcDecJanFeb(var[j,:,:,:,:],var[j,:,:,:,:], lat,lon,'surface',1) print('\n>>> Completed: Finished readAMIP6 function!') return lat,lon,time,lev,varm ############################################################################### def readAMIP6Profile(variableq,experiment,level,detrend,sliceeq,period,levelVert,epoch): print('\n>>> Using readAMIP6Profile function! \n') ########################################################################### ########################################################################### ########################################################################### ### Import modules import numpy as np from netCDF4 import Dataset import calc_Detrend as DT import calc_Utilities as UT ### Declare knowns ensembles = 10 months = 12 years = np.arange(1979,2016+1,1) ### Directory for experiments (remote server - Seley) directorydata = '/seley/zlabe/simu/' directorydata2 = '/home/zlabe/Documents/Research/AA/Data/' ########################################################################### ########################################################################### variable = variableq ########################################################################### ########################################################################### ########################################################################### ### Read in lat,lon,time from known file if level == 'surface': # 3d variables dataq = Dataset(directorydata + '%s1/monthly/T2M_1978-2016.nc' % experiment) time = dataq.variables['time'][12:] lev = 'surface' lat = dataq.variables['latitude'][:] lon = dataq.variables['longitude'][:] dataq.close() ########################################################################### ########################################################################### if sliceeq == False: ### Create empty variable varq = np.empty((ensembles,time.shape[0], lat.shape[0],lon.shape[0])) varq[:,:,:,:] = np.nan ### fill with nans elif sliceeq == True: ### Slice for Arctic latq = np.where(lat >= 65)[0] lat = lat[latq] ### Create empty variable varq = np.empty((ensembles,time.shape[0], lat.shape[0],lon.shape[0])) varq[:,:,:,:] = np.nan ### fill with nans print('SLICE for Arctic!') else: print(ValueError('Selected wrong slicing!')) ########################################################################### ########################################################################### elif level == 'profile': # 4d variables dataq = Dataset(directorydata + '%s1/monthly/TEMP_1978-2016.nc' % experiment) time = dataq.variables['time'][12:] lev = dataq.variables['level'][:] lat = dataq.variables['latitude'][:] lon = dataq.variables['longitude'][:] dataq.close() ########################################################################### ########################################################################### if sliceeq == False: ### Create empty variable varq = np.empty((ensembles,time.shape[0],lev.shape[0], lat.shape[0],lon.shape[0])) varq[:,:,:,:,:] = np.nan ### fill with nans elif sliceeq == True: ### Slice for Arctic latq = np.where(lat >= 65)[0] lat = lat[latq] ### Create empty variable varq = np.empty((ensembles,time.shape[0],lev.shape[0], lat.shape[0],lon.shape[0])) varq[:,:,:,:,:] = np.nan ### fill with nans print('SLICE for Arctic!') else: print(ValueError('Selected wrong slicing!')) ########################################################################### ########################################################################### else: print(ValueError('Selected wrong height - (surface or profile!)!')) ########################################################################### ########################################################################### ### Path name for file for each ensemble member for i in range(ensembles): filename = directorydata + '%s%s/' % (experiment,i+1) + \ 'monthly/' + variable + '_1978-2016.nc' ########################################################################### ########################################################################### ### Read in Data if sliceeq == False: if level == 'surface': # 3d variables data = Dataset(filename,'r') varq[i,:,:,:] = data.variables[variable][12:468,:,:] data.close() print('Completed: Read data %s%s- %s!' % (experiment, i+1,variable)) elif level == 'profile': # 4d variables data = Dataset(filename,'r') varq[i,:,:,:,:] = data.variables[variable][12:468,:,:,:] data.close() print('Completed: Read data %s%s- %s!' % (experiment, i+1,variable)) else: print(ValueError('Selected wrong height - (surface or profile!)!')) ########################################################################### ########################################################################### elif sliceeq == True: if level == 'surface': # 3d variables data = Dataset(filename,'r') varq[i,:,:,:] = data.variables[variable][12:468,latq,:] data.close() print('Completed: Read data %s%s- %s!' % (experiment, i+1,variable)) elif level == 'profile': # 4d variables data = Dataset(filename,'r') varq[i,:,:,:,:] = data.variables[variable][12:468,:,latq,:] data.close() print('Completed: Read data %s%s- %s!' % (experiment, i+1,variable)) else: print(ValueError('Selected wrong height - (surface or profile!)!')) ########################################################################### ########################################################################### ########################################################################### ### Reshape to split years and months if level == 'surface': # 3d variables var = np.reshape(varq,(ensembles,varq.shape[1]//12,months, lat.shape[0],lon.shape[0])) elif level == 'profile': # 4d variables var = np.reshape(varq,(ensembles,varq.shape[1]//12,months,lev.shape[0], lat.shape[0],lon.shape[0])) else: print(ValueError('Selected wrong height - (surface or profile!)!')) print('\nCompleted: Reshaped %s array!' % (variable)) ### Save computer memory del varq ########################################################################### ########################################################################### ########################################################################### ### Convert units if variable in ('TEMP','T2M'): var = var - 273.15 # Kelvin to degrees Celsius print('Completed: Changed units (K to C)!') elif variable == 'SWE': var = var*1000. # Meters to Millimeters print('Completed: Changed units (m to mm)!') ########################################################################### ########################################################################### ########################################################################### ### Missing data (fill value to nans) var[np.where(var <= -8.99999987e+33)] = np.nan print('Completed: Filled missing data to nan!') ### Detrend data if turned on if detrend == True: var = DT.detrendData(var,level,'monthly') ### Slice over month(s) of interest if period == 'Annual': varm = np.nanmean(var[:,:,:,:,:],axis=3) if period == 'OND': varm = np.nanmean(var[:,:,-3:,:,:],axis=3) elif period == 'ND': varm = np.nanmean(var[:,:,-2:,:,:],axis=3) elif period == 'D': varm = var[:,:,-1:,:,:].squeeze() elif period == 'F': varm = var[:,:,1,:,:].squeeze() elif period == 'FM': varm = var[:,:,1:3,:,:].squeeze() elif period == 'JFM': varm = np.nanmean(var[:,:,0:3,:,:],axis=3) elif period == 'DJF': varm = np.empty((var.shape[0],var.shape[1]-1,var.shape[3], var.shape[4],var.shape[5])) for j in range(var.shape[0]): varm[j,:,:,:,:] = UT.calcDecJanFeb(var[j,:,:,:,:,:],var[j,:,:,:,:,:], lat,lon,'profile',17) ### Calculate ensemble mean mean = np.nanmean(varm,axis=0) ### Calculate vertical levels levqq = np.where((lev >= levelVert))[0] levvv = lev[levqq] levelmean= mean[:,levqq,:,:] ### Meshgrid for lat,lon lon2,lat2 = np.meshgrid(lon,lat) polarave = UT.calc_weightedAve(levelmean,lat2) ### Epoch differences new = np.nanmean(polarave[-epoch:,:],axis=0) old = np.nanmean(polarave[:epoch,:],axis=0) diff = new - old ### Save file np.savetxt(directorydata2 + '%s_1000-%s_%s.txt' % (experiment,levelVert,variable), diff,delimiter=',',fmt='%.3f') print('\n>>> Completed: Finished readAMIP6Profile function!') return lat,lon,time,levvv,diff ### Test functions -- no need to use #import numpy as np #import matplotlib.pyplot as plt #import scipy.stats as sts #variable = 'TEMP' #experiment = 'AMIP' #level = 'profile' #detrend = False #sliceeq = True #period = 'DJF' #levelVert = 500 #epoch = 10 ##lat,lon,time,lev,var = readAMIP6(variable,experiment,level,detrend,sliceeq,period) #lat,lon,time,lev,diffa = readAMIP6Profile(variable,experiment,level, # detrend,sliceeq,period,levelVert,epoch)
42.580709
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ecb7846bd18096318308bfe3d07270094a44369b
6,292
py
Python
nideep/datasets/balance_hdf5.py
kashefy/caffe_sandbox
31afc409df14fece0ac21707185e586dd2d625a9
[ "BSD-2-Clause" ]
15
2015-08-26T21:15:15.000Z
2016-03-10T06:25:08.000Z
nideep/datasets/balance_hdf5.py
nigroup/nideep
31afc409df14fece0ac21707185e586dd2d625a9
[ "BSD-2-Clause" ]
35
2016-05-24T13:57:01.000Z
2018-03-07T18:43:07.000Z
nideep/datasets/balance_hdf5.py
nigroup/nideep
31afc409df14fece0ac21707185e586dd2d625a9
[ "BSD-2-Clause" ]
11
2016-05-24T13:42:55.000Z
2019-10-04T16:20:54.000Z
''' Created on Mar 7, 2016 @author: kashefy ''' import os import numpy as np import h5py from balance import Balancer, CLNAME_OTHER def get_class_count_hdf5(fpath, key_label='label', other_clname=CLNAME_OTHER): """ Count per-class instances in HDF5 and return a dictionary of class ids and per-class count fpath -- path to HDF5 file Keyword arguments: key_label -- key for ground truth data in HDF5 other_clname -- name for negative class (None if non-existent) """ h = h5py.File(fpath, 'r') b = Balancer(np.squeeze(h[key_label])) return b.get_class_count(other_clname=other_clname) def balance_class_count_hdf5(fpath, keys, key_label='label', other_clname=CLNAME_OTHER): """ Resample keys in an HDF5 to generate a near balanced dataset. Returns a dictionary with resampled features and ground truth and indicies from the original label that were sampled. Not suitable for very large datasets. fpath -- path to HDF5 file keys -- keys to resample (e.g. features) Keyword arguments: key_label -- key for ground truth data in HDF5 other_clname -- name for negative class (None if non-existent) """ h_src = h5py.File(fpath, 'r') labls = h_src[key_label][:] bal = Balancer(np.squeeze(labls)) class_count = bal.get_class_count(other_clname=other_clname) idxs = bal.get_idxs_to_balance_class_count(class_count.values()) np.random.shuffle(idxs) # shuffle the array along the first index of a multi-dimensional array, in-place dict_balanced = {key_label : labls[idxs]} for k in keys: dict_balanced[k] = h_src[k][:][idxs] return dict_balanced, idxs def save_balanced_class_count_hdf5(fpath, keys, fpath_dst, key_label='label', other_clname=CLNAME_OTHER, chunks=None ): """ Resample keys in an HDF5 to generate a near balanced dataset and save into a new HDF5. Returns indicies from the original label that were sampled. Not suitable for very large datasets. fpath -- path to source HDF5 file keys -- keys to resample (e.g. features) fpath_dst -- path to destination HDF5 file Keyword arguments: key_label -- key for ground truth data in HDF5 other_clname -- name for negative class (None if non-existent) chunks -- forward chunks parameter to use during hdf5 writing """ if os.path.abspath(fpath) == os.path.abspath(fpath_dst): raise IOError("Cannot read and write to the same file (%s) (%s)" % (fpath, fpath_dst)) with h5py.File(fpath, 'r') as h_src: labls = h_src[key_label][:] bal = Balancer(np.squeeze(labls)) class_count = bal.get_class_count(other_clname=other_clname) idxs = bal.get_idxs_to_balance_class_count(class_count.values()) np.random.shuffle(idxs) # shuffle the array along the first index of a multi-dimensional array, in-place with h5py.File(fpath_dst, 'w') as h_dst: h_dst[key_label] = labls[idxs] for k in keys: dataset_src = h_src[k] shape_new = list(dataset_src.shape) shape_new[0] = len(idxs) dataset_dst = h_dst.create_dataset(k, tuple(shape_new), dataset_src.dtype, chunks=chunks) for idx_dst, idx_src in enumerate(idxs): dataset_dst[idx_dst] = dataset_src[idx_src] return idxs def save_balanced_sampled_class_count_hdf5(fpath, keys, fpath_dst, key_label='label', other_clname=CLNAME_OTHER, chunks=None, target_count=None ): """ Resample keys in an HDF5 to generate a near balanced dataset and save into a new HDF5. Returns indicies from the original label that were sampled. Not suitable for very large datasets. Classes with count < target_count will sub-sampled without replacement. Classes with count > target_count will get over-sampled. Classes with count equal to target_count will be copied. fpath -- path to source HDF5 file keys -- keys to resample (e.g. features) fpath_dst -- path to destination HDF5 file Keyword arguments: key_label -- key for ground truth data in HDF5 other_clname -- name for negative class (None if non-existent) chunks -- forward chunks parameter to use during hdf5 writing target_count -- per-class count to target when sampling """ if os.path.abspath(fpath) == os.path.abspath(fpath_dst): raise IOError("Cannot read and write to the same file (%s) (%s)" % (fpath, fpath_dst)) with h5py.File(fpath, 'r') as h_src: labls = h_src[key_label][:] bal = Balancer(np.squeeze(labls)) class_count = bal.get_class_count(other_clname=other_clname) idxs = bal.get_idxs_to_balance_class_count(class_count.values(), target_count) np.random.shuffle(idxs) # shuffle the array along the first index of a multi-dimensional array, in-place with h5py.File(fpath_dst, 'w') as h_dst: h_dst[key_label] = labls[idxs] for k in keys: dataset_src = h_src[k] shape_new = list(dataset_src.shape) shape_new[0] = len(idxs) dataset_dst = h_dst.create_dataset(k, tuple(shape_new), dataset_src.dtype, chunks=chunks) for idx_dst, idx_src in enumerate(idxs): dataset_dst[idx_dst] = dataset_src[idx_src] return idxs
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7
ecccdac61abf58751014215dda366a5b6f685bef
275
py
Python
Darlington/phase1/python Basic 1/day 14 solution/qtn1.py
CodedLadiesInnovateTech/-python-challenge-solutions
430cd3eb84a2905a286819eef384ee484d8eb9e7
[ "MIT" ]
6
2020-05-23T19:53:25.000Z
2021-05-08T20:21:30.000Z
Darlington/phase1/python Basic 1/day 14 solution/qtn1.py
CodedLadiesInnovateTech/-python-challenge-solutions
430cd3eb84a2905a286819eef384ee484d8eb9e7
[ "MIT" ]
8
2020-05-14T18:53:12.000Z
2020-07-03T00:06:20.000Z
Darlington/phase1/python Basic 1/day 14 solution/qtn1.py
CodedLadiesInnovateTech/-python-challenge-solutions
430cd3eb84a2905a286819eef384ee484d8eb9e7
[ "MIT" ]
39
2020-05-10T20:55:02.000Z
2020-09-12T17:40:59.000Z
#program to determine whether variable is defined or not. try: x = 1 except NameError: print("Variable is not defined....!") else: print("Variable is defined.") try: y except NameError: print("Variable is not defined....!") else: print("Variable is defined.")
19.642857
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0.683636
38
275
4.947368
0.447368
0.265957
0.319149
0.297872
0.702128
0.702128
0.702128
0.702128
0.702128
0.702128
0
0.004444
0.181818
275
14
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19.642857
0.831111
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false
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0
9
ecdcea8c6364463f1ef578a3e2cbf93890951291
7,715
py
Python
vim-mocker/app/pishahang-os/nova/static_response.py
CN-UPB/MANO-Benchmarking-Framework
6a1d3fd231663042853a52b2be02619e836d3280
[ "Apache-2.0" ]
null
null
null
vim-mocker/app/pishahang-os/nova/static_response.py
CN-UPB/MANO-Benchmarking-Framework
6a1d3fd231663042853a52b2be02619e836d3280
[ "Apache-2.0" ]
1
2021-03-25T23:31:21.000Z
2021-03-25T23:31:21.000Z
vim-mocker/app/pishahang-os/nova/static_response.py
CN-UPB/MANO-Benchmarking-Framework
6a1d3fd231663042853a52b2be02619e836d3280
[ "Apache-2.0" ]
null
null
null
limits = { "limits": { "rate": [ ], "absolute": { "maxServerMeta": 1280, "maxPersonality": 50, "totalServerGroupsUsed": 0, "maxImageMeta": 1280, "maxPersonalitySize": 102400, "maxTotalKeypairs": 1000, "maxSecurityGroupRules": 20, "maxServerGroups": 10, "totalCoresUsed": 14, "totalRAMUsed": 7680, "totalInstancesUsed": 14, "maxSecurityGroups": 10, "totalFloatingIpsUsed": 0, "maxTotalCores": 200, "maxServerGroupMembers": 10, "maxTotalFloatingIps": 10, "totalSecurityGroupsUsed": 1, "maxTotalInstances": 100, "maxTotalRAMSize": 512000 } } } flavors = { "flavors": [ { "links": [ { "href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/2", "rel": "self" }, { "href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/2", "rel": "bookmark" } ], "ram": 2048, "OS-FLV-DISABLED:disabled": False, "os-flavor-access:is_public": True, "rxtx_factor": 1.0, "disk": 20, "id": "2", "name": "m1.small", "vcpus": 1, "swap": "", "OS-FLV-EXT-DATA:ephemeral": 0 }, { 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01ec032f780268c3fdaa00c269fdd2e8772027f9
29,976
py
Python
dialogue-engine/test/programytest/parser/template/graph_tests/rdf_tests/test_select.py
cotobadesign/cotoba-agent-oss
3833d56e79dcd7529c3e8b3a3a8a782d513d9b12
[ "MIT" ]
104
2020-03-30T09:40:00.000Z
2022-03-06T22:34:25.000Z
dialogue-engine/test/programytest/parser/template/graph_tests/rdf_tests/test_select.py
cotobadesign/cotoba-agent-oss
3833d56e79dcd7529c3e8b3a3a8a782d513d9b12
[ "MIT" ]
25
2020-06-12T01:36:35.000Z
2022-02-19T07:30:44.000Z
dialogue-engine/test/programytest/parser/template/graph_tests/rdf_tests/test_select.py
cotobadesign/cotoba-agent-oss
3833d56e79dcd7529c3e8b3a3a8a782d513d9b12
[ "MIT" ]
10
2020-04-02T23:43:56.000Z
2021-05-14T13:47:01.000Z
""" Copyright (c) 2020 COTOBA DESIGN, Inc. 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. """ import xml.etree.ElementTree as ET import json from programy.parser.template.nodes.base import TemplateNode from programy.parser.template.nodes.word import TemplateWordNode from programy.parser.template.nodes.select import TemplateSelectNode from programy.parser.template.nodes.select import Query, NotQuery from programy.parser.exceptions import ParserException from programytest.parser.template.graph_tests.graph_test_client import TemplateGraphTestClient class TemplateGraphSelectTests(TemplateGraphTestClient): ################################################################################################################ # Test Node Construction # def test_select_single_vars_single_query(self): template = ET.fromstring(""" <template> <select> <vars>?x</vars> <q><subj>?x</subj><pred>Y</pred><obj>Z</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) self.assertIsNotNone(ast) self.assertIsInstance(ast, TemplateNode) self.assertIsNotNone(ast.children) self.assertIsNotNone(ast.children[0]) self.assertIsInstance(ast.children[0], TemplateSelectNode) self.assertEqual(0, len(ast.children[0].children)) select_node = ast.children[0] self.assertIsNotNone(select_node.vars) self.assertEqual(1, len(select_node.vars)) self.assertTrue("?x" in select_node.vars) self.assertEqual(1, len(select_node.queries)) query1 = select_node.queries[0] self.assertIsInstance(query1, Query) self.assertIsInstance(query1.subj, TemplateNode) self.assertEqual(1, len(query1.subj.children)) self.assertIsInstance(query1.subj.children[0], TemplateWordNode) self.assertEqual("?x", query1.subj.resolve(self._client_context)) self.assertIsInstance(query1.pred, TemplateNode) self.assertEqual("Y", query1.pred.resolve(self._client_context)) self.assertIsInstance(query1.obj, TemplateNode) self.assertEqual("Z", query1.obj.resolve(self._client_context)) def test_select_multi_vars_single_query(self): template = ET.fromstring(""" <template> <select> <vars>?x ?y</vars> <q><subj>?x</subj><pred>?y</pred><obj>Z</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) self.assertIsNotNone(ast) self.assertIsInstance(ast, TemplateNode) self.assertIsNotNone(ast.children) self.assertIsNotNone(ast.children[0]) self.assertIsInstance(ast.children[0], TemplateSelectNode) self.assertEqual(0, len(ast.children[0].children)) select_node = ast.children[0] self.assertIsNotNone(select_node.vars) self.assertEqual(2, len(select_node.vars)) self.assertTrue("?x" in select_node.vars) self.assertTrue("?y" in select_node.vars) self.assertEqual(1, len(select_node.queries)) query1 = select_node.queries[0] self.assertIsInstance(query1, Query) self.assertIsInstance(query1.subj, TemplateNode) self.assertEqual(1, len(query1.subj.children)) self.assertIsInstance(query1.subj.children[0], TemplateWordNode) self.assertEqual("?x", query1.subj.resolve(self._client_context)) self.assertIsInstance(query1.pred, TemplateNode) self.assertEqual("?y", query1.pred.resolve(self._client_context)) self.assertIsInstance(query1.obj, TemplateNode) self.assertEqual("Z", query1.obj.resolve(self._client_context)) def test_select_single_vars_multie_query(self): template = ET.fromstring(""" <template> <select> <vars>?x</vars> <q><subj>A</subj><pred>B</pred><obj>C</obj></q> <q><subj>?x</subj><pred>Y</pred><obj>Z</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) self.assertIsNotNone(ast) self.assertIsInstance(ast, TemplateNode) self.assertIsNotNone(ast.children) self.assertIsNotNone(ast.children[0]) self.assertIsInstance(ast.children[0], TemplateSelectNode) self.assertEqual(0, len(ast.children[0].children)) select_node = ast.children[0] self.assertIsNotNone(select_node.vars) self.assertEqual(1, len(select_node.vars)) self.assertTrue("?x" in select_node.vars) self.assertEqual(2, len(select_node.queries)) query1 = select_node.queries[0] self.assertIsInstance(query1, Query) self.assertIsInstance(query1.subj, TemplateNode) self.assertEqual(1, len(query1.subj.children)) self.assertIsInstance(query1.subj.children[0], TemplateWordNode) self.assertEqual("A", query1.subj.resolve(self._client_context)) self.assertIsInstance(query1.pred, TemplateNode) self.assertEqual("B", query1.pred.resolve(self._client_context)) self.assertIsInstance(query1.obj, TemplateNode) self.assertEqual("C", query1.obj.resolve(self._client_context)) query2 = select_node.queries[1] self.assertIsInstance(query2, Query) self.assertIsInstance(query2.subj, TemplateNode) self.assertEqual(1, len(query2.subj.children)) self.assertIsInstance(query2.subj.children[0], TemplateWordNode) self.assertEqual("?x", query2.subj.resolve(self._client_context)) self.assertIsInstance(query2.pred, TemplateNode) self.assertEqual("Y", query2.pred.resolve(self._client_context)) self.assertIsInstance(query2.obj, TemplateNode) self.assertEqual("Z", query2.obj.resolve(self._client_context)) def test_select_multi_vars_multi_query(self): template = ET.fromstring(""" <template> <select> <vars>?x ?y</vars> <q><subj>A</subj><pred>B</pred><obj>C</obj></q> <q><subj>?x</subj><pred>?y</pred><obj>Z</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) self.assertIsNotNone(ast) self.assertIsInstance(ast, TemplateNode) self.assertIsNotNone(ast.children) self.assertIsNotNone(ast.children[0]) self.assertIsInstance(ast.children[0], TemplateSelectNode) self.assertEqual(0, len(ast.children[0].children)) select_node = ast.children[0] self.assertIsNotNone(select_node.vars) self.assertEqual(2, len(select_node.vars)) self.assertTrue("?x" in select_node.vars) self.assertTrue("?y" in select_node.vars) self.assertEqual(2, len(select_node.queries)) query1 = select_node.queries[0] self.assertIsInstance(query1, Query) self.assertIsInstance(query1.subj, TemplateNode) self.assertEqual(1, len(query1.subj.children)) self.assertIsInstance(query1.subj.children[0], TemplateWordNode) self.assertEqual("A", query1.subj.resolve(self._client_context)) self.assertIsInstance(query1.pred, TemplateNode) self.assertEqual("B", query1.pred.resolve(self._client_context)) self.assertIsInstance(query1.obj, TemplateNode) self.assertEqual("C", query1.obj.resolve(self._client_context)) query2 = select_node.queries[1] self.assertIsInstance(query2, Query) self.assertIsInstance(query2.subj, TemplateNode) self.assertEqual(1, len(query2.subj.children)) self.assertIsInstance(query2.subj.children[0], TemplateWordNode) self.assertEqual("?x", query2.subj.resolve(self._client_context)) self.assertIsInstance(query2.pred, TemplateNode) self.assertEqual("?y", query2.pred.resolve(self._client_context)) self.assertIsInstance(query2.obj, TemplateNode) self.assertEqual("Z", query2.obj.resolve(self._client_context)) def test_select_single_vars_mixed_query(self): template = ET.fromstring(""" <template> <select> <vars>?x</vars> <q><subj>A</subj><pred>B</pred><obj>C</obj></q> <notq><subj>?x</subj><pred></pred><obj>Z</obj></notq> </select> </template> """) ast = self._graph.parse_template_expression(template) self.assertIsNotNone(ast) self.assertIsInstance(ast, TemplateNode) self.assertIsNotNone(ast.children) self.assertIsNotNone(ast.children[0]) self.assertIsInstance(ast.children[0], TemplateSelectNode) self.assertEqual(0, len(ast.children[0].children)) select_node = ast.children[0] self.assertIsNotNone(select_node.vars) self.assertEqual(1, len(select_node.vars)) self.assertTrue("?x" in select_node.vars) self.assertEqual(2, len(select_node.queries)) query1 = select_node.queries[0] self.assertIsInstance(query1, Query) self.assertIsInstance(query1.subj, TemplateNode) self.assertEqual(1, len(query1.subj.children)) self.assertIsInstance(query1.subj.children[0], TemplateWordNode) self.assertEqual("A", query1.subj.resolve(self._client_context)) self.assertIsInstance(query1.pred, TemplateNode) self.assertEqual("B", query1.pred.resolve(self._client_context)) self.assertIsInstance(query1.obj, TemplateNode) self.assertEqual("C", query1.obj.resolve(self._client_context)) query2 = select_node.queries[1] self.assertIsInstance(query2, NotQuery) self.assertIsInstance(query2.subj, TemplateNode) self.assertEqual(1, len(query2.subj.children)) self.assertIsInstance(query2.subj.children[0], TemplateWordNode) self.assertEqual("?x", query2.subj.resolve(self._client_context)) self.assertIsNone(query2.pred) self.assertIsInstance(query2.obj, TemplateNode) self.assertEqual("Z", query2.obj.resolve(self._client_context)) def test_select_multi_vars_mixed_query(self): template = ET.fromstring(""" <template> <select> <vars>?A ?X</vars> <q><subj>?A</subj><pred>B</pred><obj>C</obj></q> <notq><subj>?X</subj><pred>Y</pred><obj>Z</obj></notq> </select> </template> """) ast = self._graph.parse_template_expression(template) self.assertIsNotNone(ast) self.assertIsInstance(ast, TemplateNode) self.assertIsNotNone(ast.children) self.assertIsNotNone(ast.children[0]) self.assertIsInstance(ast.children[0], TemplateSelectNode) self.assertEqual(0, len(ast.children[0].children)) select_node = ast.children[0] self.assertIsNotNone(select_node) self.assertIsNotNone(select_node.vars) self.assertEqual(2, len(select_node.vars)) self.assertTrue("?A" in select_node.vars) self.assertTrue("?X" in select_node.vars) self.assertEqual(2, len(select_node.queries)) query1 = select_node.queries[0] self.assertIsInstance(query1, Query) self.assertIsInstance(query1.subj, TemplateNode) self.assertEqual(1, len(query1.subj.children)) self.assertIsInstance(query1.subj.children[0], TemplateWordNode) self.assertEqual("?A", query1.subj.resolve(self._client_context)) self.assertIsInstance(query1.pred, TemplateNode) self.assertEqual("B", query1.pred.resolve(self._client_context)) self.assertIsInstance(query1.obj, TemplateNode) self.assertEqual("C", query1.obj.resolve(self._client_context)) query2 = select_node.queries[1] self.assertIsInstance(query2, NotQuery) self.assertIsInstance(query2.subj, TemplateNode) self.assertEqual(1, len(query2.subj.children)) self.assertIsInstance(query2.subj.children[0], TemplateWordNode) self.assertEqual("?X", query2.subj.resolve(self._client_context)) self.assertIsInstance(query2.pred, TemplateNode) self.assertEqual("Y", query2.pred.resolve(self._client_context)) self.assertIsInstance(query2.obj, TemplateNode) self.assertEqual("Z", query2.obj.resolve(self._client_context)) def test_select_no_vars_single_query(self): template = ET.fromstring(""" <template> <select> <q><subj>A</subj><pred>B</pred><obj>C</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) self.assertIsNotNone(ast) self.assertIsInstance(ast, TemplateNode) self.assertIsNotNone(ast.children) self.assertIsNotNone(ast.children[0]) self.assertIsInstance(ast.children[0], TemplateSelectNode) self.assertEqual(0, len(ast.children[0].children)) select_node = ast.children[0] self.assertIsNotNone(select_node) self.assertIsNotNone(select_node.vars) self.assertEqual(0, len(select_node.vars)) self.assertEqual(1, len(select_node.queries)) query1 = select_node.queries[0] self.assertIsInstance(query1, Query) self.assertIsInstance(query1.subj, TemplateNode) self.assertEqual(1, len(query1.subj.children)) self.assertIsInstance(query1.subj.children[0], TemplateWordNode) self.assertEqual("A", query1.subj.resolve(self._client_context)) self.assertIsInstance(query1.pred, TemplateNode) self.assertEqual("B", query1.pred.resolve(self._client_context)) self.assertIsInstance(query1.obj, TemplateNode) self.assertEqual("C", query1.obj.resolve(self._client_context)) def test_select_multi_vars_tags(self): template1 = ET.fromstring(""" <template> <select> <vars>?x</vars> <vars>?y</vars> <q><subj>A</subj><pred>B</pred><obj>C</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template1) select_node = ast.children[0] self.assertIsNotNone(select_node.vars) self.assertEqual(1, len(select_node.vars)) self.assertTrue("?x" in select_node.vars) self.assertFalse("?y" in select_node.vars) def test_select_no_element(self): template1 = ET.fromstring(""" <template> <select> <q><pred>LEGS</pred><obj>2</obj></q> </select> </template> """) ast1 = self._graph.parse_template_expression(template1) select_node = ast1.children[0] query1 = select_node.queries[0] self.assertIsNone(query1.subj) self.assertEqual("LEGS", query1.pred.resolve(self._client_context)) self.assertEqual("2", query1.obj.resolve(self._client_context)) template2 = ET.fromstring(""" <template> <select> <q><subj>?x</subj><obj>2</obj></q> </select> </template> """) ast2 = self._graph.parse_template_expression(template2) select_node2 = ast2.children[0] query2 = select_node2.queries[0] self.assertEqual("?x", query2.subj.resolve(self._client_context)) self.assertIsNone(query2.pred) self.assertEqual("2", query2.obj.resolve(self._client_context)) template3 = ET.fromstring(""" <template> <select> <q><subj>?x</subj><pred>LEGS</pred></q> </select> </template> """) ast3 = self._graph.parse_template_expression(template3) select_node3 = ast3.children[0] query3 = select_node3.queries[0] self.assertEqual("?x", query3.subj.resolve(self._client_context)) self.assertEqual("LEGS", query3.pred.resolve(self._client_context)) self.assertIsNone(query3.obj) def test_select_no_var_define(self): template1 = ET.fromstring(""" <template> <select> <q><subj>?x</subj><pred>LEGS</pred><obj>2</obj></q> </select> </template> """) ast1 = self._graph.parse_template_expression(template1) select_node = ast1.children[0] query1 = select_node.queries[0] self.assertEqual("?x", query1.subj.resolve(self._client_context)) self.assertEqual("LEGS", query1.pred.resolve(self._client_context)) self.assertEqual("2", query1.obj.resolve(self._client_context)) template2 = ET.fromstring(""" <template> <select> <q><subj>MONKEY</subj><pred>?y</pred><obj>2</obj></q> </select> </template> """) ast2 = self._graph.parse_template_expression(template2) select_node = ast2.children[0] query2 = select_node.queries[0] self.assertEqual("MONKEY", query2.subj.resolve(self._client_context)) self.assertEqual("?y", query2.pred.resolve(self._client_context)) self.assertEqual("2", query2.obj.resolve(self._client_context)) template3 = ET.fromstring(""" <template> <select> <q><subj>MONKEY</subj><pred>LEGS</pred><obj>?z</obj></q> </select> </template> """) ast3 = self._graph.parse_template_expression(template3) select_node = ast3.children[0] query3 = select_node.queries[0] self.assertEqual("MONKEY", query3.subj.resolve(self._client_context)) self.assertEqual("LEGS", query3.pred.resolve(self._client_context)) self.assertEqual("?z", query3.obj.resolve(self._client_context)) def test_select_invalid_query_subtag(self): template = ET.fromstring(""" <template> <select> <vars>?x</vars> <q><subj>?x</subj><pred>LEGS</pred><obj>2</obj><plus>a</plus></q> </select> </template> """) ast = self._graph.parse_template_expression(template) select_node = ast.children[0] query = select_node.queries[0] self.assertEqual("?x", query.subj.resolve(self._client_context)) self.assertEqual("LEGS", query.pred.resolve(self._client_context)) self.assertEqual("2", query.obj.resolve(self._client_context)) ################################################################################################################ # Test Matching Evaluation # def test_query_no_vars(self): self._client_context.brain.rdf.add_entity("MONKEY", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") self._client_context.brain.rdf.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") self._client_context.brain.rdf.add_entity("BIRD", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") template = ET.fromstring(""" <template> <select> <q><subj>MONKEY</subj><pred>LEGS</pred><obj>2</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) result = ast.resolve(self._client_context) self.assertIsNotNone(result) query_results = json.loads(result) query1_results = query_results[0] self.assertTrue(["subj", "MONKEY"] in query1_results) self.assertTrue(["pred", "LEGS"] in query1_results) self.assertTrue(["obj", "2"] in query1_results) def test_not_query_no_vars(self): self._client_context.brain.rdf.add_entity("MONKEY", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") self._client_context.brain.rdf.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") self._client_context.brain.rdf.add_entity("BIRD", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") template = ET.fromstring(""" <template> <select> <notq><subj>MONKEY</subj><pred>LEGS</pred><obj>2</obj></notq> </select> </template> """) ast = self._graph.parse_template_expression(template) result = ast.resolve(self._client_context) self.assertIsNotNone(result) query_results = json.loads(result) self.assertIsNotNone(query_results) self.assertFalse([['subj', 'MONKEY'], ['pred', 'LEGS'], ['obj', '2']] in query_results) self.assertTrue([['subj', 'MONKEY'], ['pred', 'HASFUR'], ['obj', 'TRUE']] in query_results) self.assertTrue([['subj', 'ZEBRA'], ['pred', 'LEGS'], ['obj', '4']] in query_results) self.assertTrue([['subj', 'BIRD'], ['pred', 'LEGS'], ['obj', '2']] in query_results) self.assertTrue([['subj', 'ELEPHANT'], ['pred', 'TRUNK'], ['obj', 'TRUE']] in query_results) def test_query_var(self): self._client_context.brain.rdf.add_entity("MONKEY", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") self._client_context.brain.rdf.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") self._client_context.brain.rdf.add_entity("BIRD", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") template = ET.fromstring(""" <template> <select> <vars>?x</vars> <q><subj>?x</subj><pred>LEGS</pred><obj>2</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) result = ast.resolve(self._client_context) self.assertIsNotNone(result) query_results = json.loads(result) self.assertIsNotNone(query_results) self.assertEqual(2, len(query_results)) self.assertTrue([["?x", "MONKEY"]] in query_results) self.assertTrue([["?x", "BIRD"]] in query_results) def test_not_query_var(self): self._client_context.brain.rdf.add_entity("MONKEY", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") self._client_context.brain.rdf.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") self._client_context.brain.rdf.add_entity("BIRD", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") template = ET.fromstring(""" <template> <select> <vars>?x</vars> <notq><subj>?x</subj><pred>LEGS</pred><obj>2</obj></notq> </select> </template> """) ast = self._graph.parse_template_expression(template) result = ast.resolve(self._client_context) self.assertIsNotNone(result) query_results = json.loads(result) self.assertIsNotNone(query_results) self.assertEqual(3, len(query_results)) self.assertTrue([["?x", "ZEBRA"]] in query_results) self.assertTrue([["?x", "ELEPHANT"]] in query_results) def test_query_multi_vars(self): self._client_context.brain.rdf.add_entity("MONKEY", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") self._client_context.brain.rdf.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") self._client_context.brain.rdf.add_entity("BIRD", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") template = ET.fromstring(""" <template> <select> <vars>?x ?y</vars> <q><subj>?x</subj><pred>?y</pred><obj>2</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) result = ast.resolve(self._client_context) self.assertIsNotNone(result) query_results = json.loads(result) self.assertIsNotNone(query_results) self.assertEqual(2, len(query_results)) self.assertTrue([["?x", "MONKEY"], ["?y", "LEGS"]] in query_results) self.assertTrue([["?x", "BIRD"], ["?y", "LEGS"]] in query_results) def test_query_vars_object(self): self._client_context.brain.rdf.add_entity("MONKEY", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") self._client_context.brain.rdf.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") self._client_context.brain.rdf.add_entity("BIRD", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") template = ET.fromstring(""" <template> <select> <vars>?z</vars> <q><subj>MONKEY</subj><pred>LEGS</pred><obj>?z</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) result = ast.resolve(self._client_context) self.assertIsNotNone(result) query_results = json.loads(result) self.assertIsNotNone(query_results) self.assertEqual(1, len(query_results)) self.assertTrue([["?z", "2"]] in query_results) def test_query_var_multi_queries(self): self._client_context.brain.rdf.add_entity("MONKEY", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") self._client_context.brain.rdf.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") self._client_context.brain.rdf.add_entity("BIRD", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") template = ET.fromstring(""" <template> <select> <vars>?x</vars> <q><subj>?x</subj><pred>LEGS</pred><obj>2</obj></q> <q><subj>?x</subj><pred>HASFUR</pred><obj>true</obj></q> </select> </template> """) ast = self._graph.parse_template_expression(template) result = ast.resolve(self._client_context) self.assertIsNotNone(result) query_results = json.loads(result) self.assertIsNotNone(query_results) self.assertEqual(1, len(query_results)) self.assertTrue([["?x", "MONKEY"]] in query_results) def test_query_var_mixed_queries(self): self._client_context.brain.rdf.add_entity("MONKEY", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("MONKEY", "HASFUR", "true", "ANIMALS") self._client_context.brain.rdf.add_entity("ZEBRA", "LEGS", "4", "ANIMALS") self._client_context.brain.rdf.add_entity("BIRD", "LEGS", "2", "ANIMALS") self._client_context.brain.rdf.add_entity("ELEPHANT", "TRUNK", "true", "ANIMALS") template = ET.fromstring(""" <template> <select> <vars>?x</vars> <q><subj>?x</subj><pred>LEGS</pred><obj>2</obj></q> <notq><subj>?x</subj><pred>HASFUR</pred><obj>true</obj></notq> </select> </template> """) ast = self._graph.parse_template_expression(template) result = ast.resolve(self._client_context) self.assertIsNotNone(result) query_results = json.loads(result) self.assertIsNotNone(query_results) self.assertEqual(2, len(query_results)) self.assertTrue([["?x", "BIRD"]] in query_results) self.assertTrue([["?x", "MONKEY"]] in query_results)
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01f485ac64df1ee3a5981bac23366e6ae53180ec
95,687
py
Python
k8sclient/apis/policy_v1alpha1_api.py
Arvinhub/client-python
d67df30f635231d68dc4c20b9b7e234c616c1e6a
[ "Apache-2.0" ]
1
2021-06-16T02:57:18.000Z
2021-06-16T02:57:18.000Z
k8sclient/apis/policy_v1alpha1_api.py
Arvinhub/client-python
d67df30f635231d68dc4c20b9b7e234c616c1e6a
[ "Apache-2.0" ]
null
null
null
k8sclient/apis/policy_v1alpha1_api.py
Arvinhub/client-python
d67df30f635231d68dc4c20b9b7e234c616c1e6a
[ "Apache-2.0" ]
null
null
null
# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: unversioned Generated by: https://github.com/swagger-api/swagger-codegen.git Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class PolicyV1alpha1Api(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def create_policy_v1alpha1_namespaced_pod_disruption_budget(self, namespace, body, **kwargs): """ create a PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_policy_v1alpha1_namespaced_pod_disruption_budget(namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1alpha1PodDisruptionBudget body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.create_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(namespace, body, **kwargs) else: (data) = self.create_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(namespace, body, **kwargs) return data def create_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(self, namespace, body, **kwargs): """ create a PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1alpha1PodDisruptionBudget body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_policy_v1alpha1_namespaced_pod_disruption_budget" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `create_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_policy_v1alpha1_namespaced_pod_disruption_budget`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets'.replace('{format}', 'json') path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudget', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def delete_policy_v1alpha1_collection_namespaced_pod_disruption_budget(self, namespace, **kwargs): """ delete collection of PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_policy_v1alpha1_collection_namespaced_pod_disruption_budget(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: UnversionedStatus If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_policy_v1alpha1_collection_namespaced_pod_disruption_budget_with_http_info(namespace, **kwargs) else: (data) = self.delete_policy_v1alpha1_collection_namespaced_pod_disruption_budget_with_http_info(namespace, **kwargs) return data def delete_policy_v1alpha1_collection_namespaced_pod_disruption_budget_with_http_info(self, namespace, **kwargs): """ delete collection of PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_policy_v1alpha1_collection_namespaced_pod_disruption_budget_with_http_info(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: UnversionedStatus If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'pretty', 'field_selector', 'label_selector', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_policy_v1alpha1_collection_namespaced_pod_disruption_budget" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `delete_policy_v1alpha1_collection_namespaced_pod_disruption_budget`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets'.replace('{format}', 'json') path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UnversionedStatus', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def delete_policy_v1alpha1_namespaced_pod_disruption_budget(self, name, namespace, body, **kwargs): """ delete a PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_policy_v1alpha1_namespaced_pod_disruption_budget(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: UnversionedStatus If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, **kwargs) else: (data) = self.delete_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, **kwargs) return data def delete_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(self, name, namespace, body, **kwargs): """ delete a PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: UnversionedStatus If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_policy_v1alpha1_namespaced_pod_disruption_budget" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `delete_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `delete_policy_v1alpha1_namespaced_pod_disruption_budget`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UnversionedStatus', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def get_policy_v1alpha1_api_resources(self, **kwargs): """ get available resources This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_policy_v1alpha1_api_resources(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: UnversionedAPIResourceList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_policy_v1alpha1_api_resources_with_http_info(**kwargs) else: (data) = self.get_policy_v1alpha1_api_resources_with_http_info(**kwargs) return data def get_policy_v1alpha1_api_resources_with_http_info(self, **kwargs): """ get available resources This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_policy_v1alpha1_api_resources_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: UnversionedAPIResourceList If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_policy_v1alpha1_api_resources" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/apis/policy/v1alpha1/'.replace('{format}', 'json') 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', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UnversionedAPIResourceList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def list_policy_v1alpha1_namespaced_pod_disruption_budget(self, namespace, **kwargs): """ list or watch objects of kind PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.list_policy_v1alpha1_namespaced_pod_disruption_budget(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1alpha1PodDisruptionBudgetList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.list_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(namespace, **kwargs) else: (data) = self.list_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(namespace, **kwargs) return data def list_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(self, namespace, **kwargs): """ list or watch objects of kind PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.list_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1alpha1PodDisruptionBudgetList If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'pretty', 'field_selector', 'label_selector', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_policy_v1alpha1_namespaced_pod_disruption_budget" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `list_policy_v1alpha1_namespaced_pod_disruption_budget`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets'.replace('{format}', 'json') path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudgetList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def list_policy_v1alpha1_pod_disruption_budget_for_all_namespaces(self, **kwargs): """ list or watch objects of kind PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.list_policy_v1alpha1_pod_disruption_budget_for_all_namespaces(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1alpha1PodDisruptionBudgetList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.list_policy_v1alpha1_pod_disruption_budget_for_all_namespaces_with_http_info(**kwargs) else: (data) = self.list_policy_v1alpha1_pod_disruption_budget_for_all_namespaces_with_http_info(**kwargs) return data def list_policy_v1alpha1_pod_disruption_budget_for_all_namespaces_with_http_info(self, **kwargs): """ list or watch objects of kind PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.list_policy_v1alpha1_pod_disruption_budget_for_all_namespaces_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1alpha1PodDisruptionBudgetList If the method is called asynchronously, returns the request thread. """ all_params = ['field_selector', 'label_selector', 'pretty', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_policy_v1alpha1_pod_disruption_budget_for_all_namespaces" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/apis/policy/v1alpha1/poddisruptionbudgets'.replace('{format}', 'json') path_params = {} query_params = {} if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudgetList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def patch_policy_v1alpha1_namespaced_pod_disruption_budget(self, name, namespace, body, **kwargs): """ partially update the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_policy_v1alpha1_namespaced_pod_disruption_budget(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.patch_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, **kwargs) else: (data) = self.patch_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, **kwargs) return data def patch_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(self, name, namespace, body, **kwargs): """ partially update the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_policy_v1alpha1_namespaced_pod_disruption_budget" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `patch_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_policy_v1alpha1_namespaced_pod_disruption_budget`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudget', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def patch_policy_v1alpha1_namespaced_pod_disruption_budget_status(self, name, namespace, body, **kwargs): """ partially update status of the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_policy_v1alpha1_namespaced_pod_disruption_budget_status(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.patch_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, body, **kwargs) else: (data) = self.patch_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, body, **kwargs) return data def patch_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(self, name, namespace, body, **kwargs): """ partially update status of the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_policy_v1alpha1_namespaced_pod_disruption_budget_status" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_policy_v1alpha1_namespaced_pod_disruption_budget_status`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `patch_policy_v1alpha1_namespaced_pod_disruption_budget_status`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_policy_v1alpha1_namespaced_pod_disruption_budget_status`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets/{name}/status'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudget', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def read_policy_v1alpha1_namespaced_pod_disruption_budget(self, name, namespace, **kwargs): """ read the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_policy_v1alpha1_namespaced_pod_disruption_budget(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param bool exact: Should the export be exact. Exact export maintains cluster-specific fields like 'Namespace' :param bool export: Should this value be exported. Export strips fields that a user can not specify. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.read_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, **kwargs) else: (data) = self.read_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, **kwargs) return data def read_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(self, name, namespace, **kwargs): """ read the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param bool exact: Should the export be exact. Exact export maintains cluster-specific fields like 'Namespace' :param bool export: Should this value be exported. Export strips fields that a user can not specify. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'pretty', 'exact', 'export'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_policy_v1alpha1_namespaced_pod_disruption_budget" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `read_policy_v1alpha1_namespaced_pod_disruption_budget`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'exact' in params: query_params['exact'] = params['exact'] if 'export' in params: query_params['export'] = params['export'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudget', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def read_policy_v1alpha1_namespaced_pod_disruption_budget_status(self, name, namespace, **kwargs): """ read status of the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_policy_v1alpha1_namespaced_pod_disruption_budget_status(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.read_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, **kwargs) else: (data) = self.read_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, **kwargs) return data def read_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(self, name, namespace, **kwargs): """ read status of the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_policy_v1alpha1_namespaced_pod_disruption_budget_status" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_policy_v1alpha1_namespaced_pod_disruption_budget_status`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `read_policy_v1alpha1_namespaced_pod_disruption_budget_status`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets/{name}/status'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudget', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def replace_policy_v1alpha1_namespaced_pod_disruption_budget(self, name, namespace, body, **kwargs): """ replace the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_policy_v1alpha1_namespaced_pod_disruption_budget(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1alpha1PodDisruptionBudget body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.replace_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, **kwargs) else: (data) = self.replace_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, **kwargs) return data def replace_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(self, name, namespace, body, **kwargs): """ replace the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1alpha1PodDisruptionBudget body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_policy_v1alpha1_namespaced_pod_disruption_budget" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `replace_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_policy_v1alpha1_namespaced_pod_disruption_budget`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudget', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def replace_policy_v1alpha1_namespaced_pod_disruption_budget_status(self, name, namespace, body, **kwargs): """ replace status of the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_policy_v1alpha1_namespaced_pod_disruption_budget_status(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1alpha1PodDisruptionBudget body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.replace_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, body, **kwargs) else: (data) = self.replace_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, body, **kwargs) return data def replace_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(self, name, namespace, body, **kwargs): """ replace status of the specified PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_policy_v1alpha1_namespaced_pod_disruption_budget_status_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1alpha1PodDisruptionBudget body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1alpha1PodDisruptionBudget If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_policy_v1alpha1_namespaced_pod_disruption_budget_status" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_policy_v1alpha1_namespaced_pod_disruption_budget_status`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `replace_policy_v1alpha1_namespaced_pod_disruption_budget_status`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_policy_v1alpha1_namespaced_pod_disruption_budget_status`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/namespaces/{namespace}/poddisruptionbudgets/{name}/status'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1alpha1PodDisruptionBudget', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def watch_policy_v1alpha1_namespaced_pod_disruption_budget(self, name, namespace, **kwargs): """ watch changes to an object of kind PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.watch_policy_v1alpha1_namespaced_pod_disruption_budget(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: VersionedEvent If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.watch_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, **kwargs) else: (data) = self.watch_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, **kwargs) return data def watch_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(self, name, namespace, **kwargs): """ watch changes to an object of kind PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.watch_policy_v1alpha1_namespaced_pod_disruption_budget_with_http_info(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the PodDisruptionBudget (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: VersionedEvent If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'field_selector', 'label_selector', 'pretty', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method watch_policy_v1alpha1_namespaced_pod_disruption_budget" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `watch_policy_v1alpha1_namespaced_pod_disruption_budget`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `watch_policy_v1alpha1_namespaced_pod_disruption_budget`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/watch/namespaces/{namespace}/poddisruptionbudgets/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VersionedEvent', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def watch_policy_v1alpha1_namespaced_pod_disruption_budget_list(self, namespace, **kwargs): """ watch individual changes to a list of PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.watch_policy_v1alpha1_namespaced_pod_disruption_budget_list(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: VersionedEvent If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.watch_policy_v1alpha1_namespaced_pod_disruption_budget_list_with_http_info(namespace, **kwargs) else: (data) = self.watch_policy_v1alpha1_namespaced_pod_disruption_budget_list_with_http_info(namespace, **kwargs) return data def watch_policy_v1alpha1_namespaced_pod_disruption_budget_list_with_http_info(self, namespace, **kwargs): """ watch individual changes to a list of PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.watch_policy_v1alpha1_namespaced_pod_disruption_budget_list_with_http_info(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: VersionedEvent If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'field_selector', 'label_selector', 'pretty', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method watch_policy_v1alpha1_namespaced_pod_disruption_budget_list" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `watch_policy_v1alpha1_namespaced_pod_disruption_budget_list`") collection_formats = {} resource_path = '/apis/policy/v1alpha1/watch/namespaces/{namespace}/poddisruptionbudgets'.replace('{format}', 'json') path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VersionedEvent', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def watch_policy_v1alpha1_pod_disruption_budget_list_for_all_namespaces(self, **kwargs): """ watch individual changes to a list of PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.watch_policy_v1alpha1_pod_disruption_budget_list_for_all_namespaces(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: VersionedEvent If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.watch_policy_v1alpha1_pod_disruption_budget_list_for_all_namespaces_with_http_info(**kwargs) else: (data) = self.watch_policy_v1alpha1_pod_disruption_budget_list_for_all_namespaces_with_http_info(**kwargs) return data def watch_policy_v1alpha1_pod_disruption_budget_list_for_all_namespaces_with_http_info(self, **kwargs): """ watch individual changes to a list of PodDisruptionBudget This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.watch_policy_v1alpha1_pod_disruption_budget_list_for_all_namespaces_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: VersionedEvent If the method is called asynchronously, returns the request thread. """ all_params = ['field_selector', 'label_selector', 'pretty', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method watch_policy_v1alpha1_pod_disruption_budget_list_for_all_namespaces" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/apis/policy/v1alpha1/watch/poddisruptionbudgets'.replace('{format}', 'json') path_params = {} query_params = {} if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VersionedEvent', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats)
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8
175b3bfaf2b20f87f97d822c43c0c6b6578d2c50
13,330
py
Python
bidaf/train.py
qianyingw/bioqa
0511597e3b1cd6eaafe893677ed601c7303befef
[ "MIT" ]
null
null
null
bidaf/train.py
qianyingw/bioqa
0511597e3b1cd6eaafe893677ed601c7303befef
[ "MIT" ]
null
null
null
bidaf/train.py
qianyingw/bioqa
0511597e3b1cd6eaafe893677ed601c7303befef
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Aug 7 21:30:49 2020 @author: qwang """ from tqdm import tqdm import itertools import torch import torch.nn as nn import torch.nn.functional as F import utils #%% def train_fn(model, BaseIter, iterator, optimizer, scheduler, clip, accum_step): scores = {'loss': 0, 'em': 0, 'f1': 0, 'prec': 0, 'rec': 0} len_iter = len(iterator) n_samples = 0 model.train() optimizer.zero_grad() with tqdm(total=len_iter) as progress_bar: for j, batch in enumerate(iterator): # batch.context: [batch_size, c_len] # batch.question: [batch_size, q_len] # batch.y1s, batch.y2s: list. len = batch_size # p1s, p2s: [batch_size, c_len] y1s, y2s = torch.LongTensor(batch.y1s), torch.LongTensor(batch.y2s) loss, p1s, p2s = model(batch.context, batch.question, y1s, y2s) scores['loss'] += loss.item() loss = loss / accum_step # loss gradients are accumulated by loss.backward() so we need to ave accumulated loss gradients loss.backward() nn.utils.clip_grad_norm_(model.parameters(), clip) # prevent exploding gradients # Gradient accumulation if (j+1) % accum_step == 0: optimizer.step() scheduler.step() optimizer.zero_grad() # Get start/end idxs s_idxs, e_idxs = utils.get_ans_idx(p1s, p2s) # [batch_size] for i in range(y1s.shape[0]): if (y1s[i] >= 0) and (y2s[i] >= 0): # When the answer passage not truncated context_idxs = batch.context[i] # Convert answer idxs to tokens ans_tokens_true = utils.ans_idx_to_tokens(context_idxs, y1s[i], y2s[i], BaseIter) ans_tokens_pred = utils.ans_idx_to_tokens(context_idxs, s_idxs[i].item(), e_idxs[i].item(), BaseIter) scores['em'] += utils.metric_em(ans_tokens_pred, ans_tokens_true) f1, prec, rec = utils.metric_f1_pr(ans_tokens_pred, ans_tokens_true) scores['f1'] += f1 scores['prec'] += prec scores['rec'] += rec n_samples += 1 progress_bar.update(1) # update progress bar scores['loss'] = scores['loss'] / len_iter scores['em'] = scores['em'] / n_samples scores['f1'] = scores['f1'] / n_samples scores['prec'] = scores['prec'] / n_samples scores['rec'] = scores['rec'] / n_samples return scores #%% def valid_fn(model, BaseIter, iterator): scores = {'loss': 0, 'em': 0, 'f1': 0, 'prec': 0, 'rec': 0} len_iter = len(iterator) n_samples = 0 model.eval() with torch.no_grad(): with tqdm(total=len_iter) as progress_bar: for batch in iterator: y1s, y2s = torch.LongTensor(batch.y1s), torch.LongTensor(batch.y2s) loss, p1s, p2s = model(batch.context, batch.question, y1s, y2s) scores['loss'] += loss.item() # Get start/end idxs s_idxs, e_idxs = utils.get_ans_idx(p1s, p2s) # [batch_size] for i in range(y1s.shape[0]): if (y1s[i] >= 0) and (y2s[i] >= 0): # When the answer passage not truncated context_idxs = batch.context[i] # Convert answer idxs to tokens ans_tokens_true = utils.ans_idx_to_tokens(context_idxs, y1s[i], y2s[i], BaseIter) ans_tokens_pred = utils.ans_idx_to_tokens(context_idxs, s_idxs[i].item(), e_idxs[i].item(), BaseIter) scores['em'] += utils.metric_em(ans_tokens_pred, ans_tokens_true) f1, prec, rec = utils.metric_f1_pr(ans_tokens_pred, ans_tokens_true) scores['f1'] += f1 scores['prec'] += prec scores['rec'] += rec n_samples += 1 progress_bar.update(1) # update progress bar scores['loss'] = scores['loss'] / len_iter scores['em'] = scores['em'] / n_samples scores['f1'] = scores['f1'] / n_samples scores['prec'] = scores['prec'] / n_samples scores['rec'] = scores['rec'] / n_samples return scores #%% def train_fn_list(model, BaseIter, iterator, optimizer, scheduler, clip, accum_step, num_answer, ans_thres): scores = {'loss': 0, 'f1': 0, 'prec': 0, 'rec': 0} len_iter = len(iterator) n_samples = 0 model.train() optimizer.zero_grad() epoch_dic = [] with tqdm(total=len_iter) as progress_bar: for k, batch in enumerate(iterator): # batch.context, p1s, p2s: [batch_size, c_len] # batch.question: [batch_size, q_len] # batch.y1s, batch.y2s, batch.pids: [batch_size] y1s, y2s = torch.LongTensor(batch.y1s), torch.LongTensor(batch.y2s) loss, p1s, p2s = model(batch.context, batch.question, y1s, y2s) scores['loss'] += loss.item() loss = loss / accum_step # loss gradients are accumulated by loss.backward() so we need to ave accumulated loss gradients loss.backward() nn.utils.clip_grad_norm_(model.parameters(), clip) # prevent exploding gradients # Gradient accumulation if (k+1) % accum_step == 0: optimizer.step() scheduler.step() optimizer.zero_grad() # Get start/end idxs. Each record has [num_answer] candidates s_idxs, e_idxs, top_probs = utils.get_ans_list_idx(p1s, p2s, num_answer=num_answer) # [batch_size, num_answer] for i in range(y1s.shape[0]): if (y1s[i] >= 0) and (y2s[i] >= 0): # When the answer passage not truncated # Context context_idxs = batch.context[i] # Convert true idxs to tokens for each record ans_tokens_true = utils.ans_idx_to_tokens(context_idxs, y1s[i], y2s[i], BaseIter) # Convert pred idxs to tokens for each record record_preds_cand = [] for j in range(num_answer): # iter candidates ans_tokens_pred = utils.ans_idx_to_tokens(context_idxs, s_idxs[i,j].item(), e_idxs[i,j].item(), BaseIter) record_preds_cand.append(ans_tokens_pred) # list, len(record_preds_cand)=num_answer record = {'pid': batch.pid[i], # 1234 'trues': ans_tokens_true, # ["ab", "ef"] 'preds': record_preds_cand, # [["af", "c"], ["b"], ..., ["fg", "ab"]] 'probs': top_probs[i].tolist()} # [0.3, 0.6, ..., 0.1] epoch_dic.append(record) n_samples += 1 progress_bar.update(1) # update progress bar # Group epoch_dic by pid key = lambda d: d['pid'] epoch_dic.sort(key=key) epoch_dic_gp = [] for key, group in itertools.groupby(epoch_dic, key=key): trues, preds, probs = [], [], [] for g in group: trues.append(g['trues']) # [["ab", "ef"], ["cd"]] preds = preds + g['preds'] # g['preds']: [["ab","ef"], ["cd"], ["fg","b"], ["b","c"], ["gh"]] probs = probs + g['probs'] # g['probs']: [0.3, 0.4, 0.2, 0.7, 0.1] # Sort candidates by probs probs, preds = (list(t) for t in zip(*sorted(zip(probs, preds), key=lambda x: x[0], reverse=True))) # Keep candidates with probs > thres preds = [preds[i] for i in range(len(probs)) if probs[i] > ans_thres] # Remove duplicate candidates preds_ndup = [] for p in preds: if p not in preds_ndup: preds_ndup.append(p) epoch_dic_gp.append({'pid': key, 'trues': trues, 'preds': preds_ndup}) for ep in epoch_dic_gp: if len(ep['preds']) > 0: f1, pre, rec = utils.metric_ave_fpr(ep['preds'], ep['trues']) scores['f1'] += f1 scores['prec'] += pre scores['rec'] += rec scores['loss'] = scores['loss'] / len_iter scores['f1'] = scores['f1'] / n_samples scores['prec'] = scores['prec'] / n_samples scores['rec'] = scores['rec'] / n_samples return scores #%% def valid_fn_list(model, BaseIter, iterator, num_answer, ans_thres): scores = {'loss': 0, 'f1': 0, 'prec': 0, 'rec': 0} len_iter = len(iterator) n_samples = 0 model.eval() epoch_dic = [] with torch.no_grad(): with tqdm(total=len_iter) as progress_bar: for batch in iterator: y1s, y2s = torch.LongTensor(batch.y1s), torch.LongTensor(batch.y2s) loss, p1s, p2s = model(batch.context, batch.question, y1s, y2s) scores['loss'] += loss.item() # Get start/end idxs s_idxs, e_idxs, top_probs = utils.get_ans_list_idx(p1s, p2s, num_answer=num_answer) # [batch_size, num_answer] for i in range(y1s.shape[0]): if (y1s[i] >= 0) and (y2s[i] >= 0): # When the answer passage not truncated # Context context_idxs = batch.context[i] # Convert true idxs to tokens for each record ans_tokens_true = utils.ans_idx_to_tokens(context_idxs, y1s[i], y2s[i], BaseIter) # Convert pred idxs to tokens for each record record_preds_cand = [] for j in range(num_answer): # iter candidates ans_tokens_pred = utils.ans_idx_to_tokens(context_idxs, s_idxs[i,j].item(), e_idxs[i,j].item(), BaseIter) record_preds_cand.append(ans_tokens_pred) # list, len(record_preds_cand)=num_answer record = {'pid': batch.pid[i], # 1234 'trues': ans_tokens_true, # ["ab", "ef"] 'preds': record_preds_cand, # [["af", "c"], ["b"], ..., ["fg", "ab"]] 'probs': top_probs[i].tolist()} # [0.3, 0.6, ..., 0.1] epoch_dic.append(record) n_samples += 1 progress_bar.update(1) # update progress bar # Group epoch_dic by pid key = lambda d: d['pid'] epoch_dic.sort(key=key) epoch_dic_gp = [] for key, group in itertools.groupby(epoch_dic, key=key): trues, preds, probs = [], [], [] for g in group: trues.append(g['trues']) # [["ab", "ef"], ["cd"]] preds = preds + g['preds'] # g['preds']: [["ab","ef"], ["cd"], ["fg","b"], ["b","c"], ["gh"]] probs = probs + g['probs'] # g['probs']: [0.3, 0.4, 0.2, 0.7, 0.1] # Sort candidates by probs probs, preds = (list(t) for t in zip(*sorted(zip(probs, preds), key=lambda x: x[0], reverse=True))) # Keep candidates with probs > thres preds = [preds[i] for i in range(len(probs)) if probs[i] > ans_thres] # Remove duplicate candidates preds_ndup = [] for p in preds: if p not in preds_ndup: preds_ndup.append(p) epoch_dic_gp.append({'pid': key, 'trues': trues, 'preds': preds}) for ep in epoch_dic_gp: if len(ep['preds']) > 0: f1, pre, rec = utils.metric_ave_fpr(ep['preds'], ep['trues']) scores['f1'] += f1 scores['prec'] += pre scores['rec'] += rec scores['loss'] = scores['loss'] / len_iter scores['f1'] = scores['f1'] / n_samples scores['prec'] = scores['prec'] / n_samples scores['rec'] = scores['rec'] / n_samples return scores
45.186441
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7
bd60cc56e42a1b13c446bddc4a3a35c6a83c7228
314
py
Python
rlcard/games/p9k/__init__.py
io6696/rlcard
c586a097d6ba4d49272344cb345c6bc32a75bb76
[ "MIT" ]
null
null
null
rlcard/games/p9k/__init__.py
io6696/rlcard
c586a097d6ba4d49272344cb345c6bc32a75bb76
[ "MIT" ]
null
null
null
rlcard/games/p9k/__init__.py
io6696/rlcard
c586a097d6ba4d49272344cb345c6bc32a75bb76
[ "MIT" ]
null
null
null
from rlcard.games.p9k.dealer import P9KDealer as Dealer from rlcard.games.p9k.judger import P9KJudger as Judger from rlcard.games.p9k.player import P9KPlayer as Player from rlcard.games.p9k.round import Action from rlcard.games.p9k.round import P9KRound as Round from rlcard.games.p9k.game import P9KGame as Game
39.25
55
0.83121
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0.413793
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1
0
1
0
0
7
da2628995bf020ae3333d60a6563ad2e3d0f7d9f
31
py
Python
yogi_web/views.py
triat/yogi-the-bot
01e2f17b9983fe2e9db68ea8cdd093b11ba5d588
[ "MIT" ]
23
2019-03-20T15:36:23.000Z
2022-01-25T11:15:16.000Z
yogi_web/views.py
triat/yogi-the-bot
01e2f17b9983fe2e9db68ea8cdd093b11ba5d588
[ "MIT" ]
19
2019-04-02T05:19:35.000Z
2021-06-25T15:18:50.000Z
yogi_web/views.py
triat/yogi-the-bot
01e2f17b9983fe2e9db68ea8cdd093b11ba5d588
[ "MIT" ]
7
2019-04-07T23:18:18.000Z
2021-05-09T04:34:29.000Z
def return_one(): return 1
10.333333
17
0.645161
5
31
3.8
0.8
0
0
0
0
0
0
0
0
0
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0
7
da27f3aab08c4f0ef0ed0431f6b8db964b191104
45
py
Python
venv/lib/python3.6/site-packages/helowrld/__init__.py
yuxuan1995liu/darkflowyolo_detection
a7807e9b85833e3f877d46bb60e8fa7d0596a10b
[ "MIT" ]
19
2019-01-01T00:54:56.000Z
2021-07-08T18:58:19.000Z
venv/lib/python3.6/site-packages/helowrld/__init__.py
yuxuan1995liu/darkflowyolo_detection
a7807e9b85833e3f877d46bb60e8fa7d0596a10b
[ "MIT" ]
4
2020-07-26T02:10:42.000Z
2021-03-31T18:48:58.000Z
venv/lib/python3.6/site-packages/helowrld/__init__.py
yuxuan1995liu/darkflowyolo_detection
a7807e9b85833e3f877d46bb60e8fa7d0596a10b
[ "MIT" ]
19
2019-01-11T13:02:28.000Z
2021-09-09T03:00:55.000Z
def tryprint(): return ('it will be oke')
22.5
29
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7
45
4
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0
0
1
1
1
0
8
da79d0409c857b6fd086633bff444eca61ec3610
95,444
py
Python
scripts/evpn/verify.py
rombie/contrail-test
a68c71d6f282142501a7e2e889bbb232fdd82dc3
[ "Apache-2.0" ]
null
null
null
scripts/evpn/verify.py
rombie/contrail-test
a68c71d6f282142501a7e2e889bbb232fdd82dc3
[ "Apache-2.0" ]
null
null
null
scripts/evpn/verify.py
rombie/contrail-test
a68c71d6f282142501a7e2e889bbb232fdd82dc3
[ "Apache-2.0" ]
null
null
null
from time import sleep import fixtures import testtools import os import random from connections import ContrailConnections from contrail_test_init import * from vn_test import * from vm_test import * from quantum_test import * from vnc_api_test import * from nova_test import * from testresources import OptimisingTestSuite, TestResource from encap_tests import * class VerifyEvpnCases(TestEncapsulation): def verify_ipv6_ping_for_non_ip_communication(self, encap): # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vn1_fixture = self.res.vn1_fixture vn2_fixture = self.res.vn2_fixture vm1_name = self.res.vn1_vm1_name vm2_name = self.res.vn1_vm2_name vn1_name = self.res.vn1_name vn1_subnets = self.res.vn1_subnets vn1_vm1_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn1_fixture.obj, image_name='ubuntu', vm_name=vm1_name, node_name=compute_1)) vn1_vm2_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn1_fixture.obj, image_name='ubuntu', vm_name=vm2_name, node_name=compute_2)) assert vn1_fixture.verify_on_setup() assert vn2_fixture.verify_on_setup() assert vn1_vm1_fixture.verify_on_setup() assert vn1_vm2_fixture.verify_on_setup() for i in range(0, 20): sleep(5) vm2_ipv6 = vn1_vm2_fixture.get_vm_ipv6_addr_from_vm() if vm2_ipv6 is not None: break if vm2_ipv6 is None: self.logger.error('Not able to get VM link local address') return False self.tcpdump_start_on_all_compute() assert vn1_vm1_fixture.ping_to_ipv6( vm2_ipv6.split("/")[0], count='15') comp_vm2_ip = vn1_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) return True # End verify_ipv6_ping_for_non_ip_communication def verify_ping_to_configured_ipv6_address(self, encap): '''Configure IPV6 address to VM. Test IPv6 ping to that address. ''' result = True # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vn1_vm1 = '1001::1/64' vn1_vm2 = '1001::2/64' vn1_fixture = self.res.vn1_fixture vn2_fixture = self.res.vn2_fixture vm1_name = self.res.vn1_vm1_name vm2_name = self.res.vn1_vm2_name vn1_name = self.res.vn1_name vn1_subnets = self.res.vn1_subnets vn1_vm1_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn1_fixture.obj, image_name='ubuntu', vm_name=vm1_name, node_name=compute_1)) vn1_vm2_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn1_fixture.obj, image_name='ubuntu', vm_name=vm2_name, node_name=compute_2)) assert vn1_fixture.verify_on_setup() assert vn2_fixture.verify_on_setup() assert vn1_vm1_fixture.verify_on_setup() assert vn1_vm2_fixture.verify_on_setup() # Waiting for VM to boots up sleep(60) cmd_to_pass1 = ['sudo ifconfig eth0 inet6 add %s' % (vn1_vm1)] vn1_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) cmd_to_pass2 = ['sudo ifconfig eth0 inet6 add %s' % (vn1_vm2)] vn1_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2) vm1_ipv6 = vn1_vm1_fixture.get_vm_ipv6_addr_from_vm(addr_type='global') vm2_ipv6 = vn1_vm2_fixture.get_vm_ipv6_addr_from_vm(addr_type='global') self.tcpdump_start_on_all_compute() assert vn1_vm1_fixture.ping_to_ipv6( vm2_ipv6.split("/")[0], count='15') comp_vm2_ip = vn1_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) return True # End verify_ping_to_configured_ipv6_address def verify_l2_ipv6_multicast_traffic(self, encap): '''Test ping to all hosts ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] compute_3 = host_list[0] if len(host_list) > 2: compute_1 = host_list[0] compute_2 = host_list[1] compute_3 = host_list[2] elif len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] compute_3 = host_list[1] vn1_vm1 = '1001::1/64' vn1_vm2 = '1001::2/64' vn1_vm3 = '1001::3/64' vn3_fixture = self.res.vn3_fixture vn4_fixture = self.res.vn4_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name vn_l2_vm3_name = 'EVPN_VN_L2_VM3' vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) vn_l2_vm3_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm3_name, node_name=compute_3)) assert vn3_fixture.verify_on_setup() assert vn4_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() assert vn_l2_vm3_fixture.verify_on_setup() # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() assert vn_l2_vm3_fixture.wait_till_vm_is_up() # Configured IPV6 address cmd_to_pass1 = ['ifconfig eth1 inet6 add %s' % (vn1_vm1)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 inet6 add %s' % (vn1_vm2)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) cmd_to_pass3 = ['ifconfig eth1 inet6 add %s' % (vn1_vm3)] vn_l2_vm3_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) # Bring the intreface up forcefully cmd_to_pass4 = ['ifconfig eth1 1'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) cmd_to_pass5 = ['ifconfig eth1 1'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass5, as_sudo=True) cmd_to_pass6 = ['ifconfig eth1 1'] vn_l2_vm3_fixture.run_cmd_on_vm(cmds=cmd_to_pass6, as_sudo=True) sleep(30) ping_count = '10' if encap != 'vxlan': self.tcpdump_start_on_all_compute() ping_output = vn_l2_vm1_fixture.ping_to_ipv6( 'ff02::1', return_output=True, count=ping_count, intf='eth1') self.logger.info("ping output : \n %s" % (ping_output)) expected_result = ' 0% packet loss' assert (expected_result in ping_output) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='link').split('/')[0] vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='link').split('/')[0] vm3_ipv6 = vn_l2_vm3_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='link').split('/')[0] ip_list = [vm1_ipv6, vm2_ipv6, vm3_ipv6] # getting count of ping response from each vm string_count_dict = {} string_count_dict = get_string_match_count(ip_list, ping_output) self.logger.info("output %s" % (string_count_dict)) self.logger.info("There should be atleast 9 echo reply from each ip") for k in ip_list: # this is a workaround : ping utility exist as soon as it gets one # response''' assert (string_count_dict[k] >= (int(ping_count) - 1)) if encap != 'vxlan': comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) return result # End verify_l2_ipv6_multicast_traffic def verify_l2l3_ipv6_multicast_traffic(self, encap): '''Test ping to all hosts ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] compute_3 = host_list[0] if len(host_list) > 2: compute_1 = host_list[0] compute_2 = host_list[1] compute_3 = host_list[2] elif len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] compute_3 = host_list[1] vn1_vm1 = '1001::1/64' vn1_vm2 = '1001::2/64' vn1_vm3 = '1001::3/64' vn3_fixture = self.res.vn3_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name vn_l2_vm3_name = 'EVPN_VN_L2_VM3' vn_l2_vm1_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn3_fixture.obj, image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn3_fixture.obj, image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) vn_l2_vm3_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn3_fixture.obj, image_name='ubuntu', vm_name=vn_l2_vm3_name, node_name=compute_3)) assert vn3_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() assert vn_l2_vm3_fixture.verify_on_setup() # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() assert vn_l2_vm3_fixture.wait_till_vm_is_up() # Configured IPV6 address cmd_to_pass1 = ['ifconfig eth0 inet6 add %s' % (vn1_vm1)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth0 inet6 add %s' % (vn1_vm2)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) cmd_to_pass3 = ['ifconfig eth0 inet6 add %s' % (vn1_vm3)] vn_l2_vm3_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) # ping with multicast ipv6 ip on eth0 ping_count = '10' if encap != 'vxlan': self.tcpdump_start_on_all_compute() ping_output = vn_l2_vm1_fixture.ping_to_ipv6( 'ff02::1', return_output=True, count=ping_count) self.logger.info("ping output : \n %s" % (ping_output)) expected_result = ' 0% packet loss' assert (expected_result in ping_output) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( addr_type='link').split('/')[0] vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( addr_type='link').split('/')[0] vm3_ipv6 = vn_l2_vm3_fixture.get_vm_ipv6_addr_from_vm( addr_type='link').split('/')[0] ip_list = [vm1_ipv6, vm2_ipv6, vm3_ipv6] # getting count of ping response from each vm string_count_dict = {} string_count_dict = get_string_match_count(ip_list, ping_output) self.logger.info("output %s" % (string_count_dict)) self.logger.info("There should be atleast 9 echo reply from each ip") for k in ip_list: # this is a workaround : ping utility exist as soon as it gets one # response''' assert (string_count_dict[k] >= (int(ping_count) - 1)) if encap != 'vxlan': comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) return result # End verify_l2l3_ipv6_multicast_traffic def verify_change_of_l2_vn_forwarding_mode(self, encap): '''Change the vn forwarding mode from l2 only to l2l3 and verify l3 routes get updated ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vm1_ip6 = '1001::1/64' vm2_ip6 = '1001::2/64' vn3_fixture = self.res.vn3_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name (self.vn1_name, self.vn1_subnets) = ("EVPN-Test-VN1", ["55.1.1.0/24"]) self.vn1_fixture = self.useFixture( VNFixture( project_name=self.inputs.project_name, connections=self.connections, inputs=self.inputs, vn_name=self.vn1_name, subnets=self.vn1_subnets, forwarding_mode='l2')) assert self.vn1_fixture.verify_on_setup() vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, self.vn1_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, self.vn1_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() self.logger.info( "Changing vn1 forwarding mode from l2 only to l2l3 followed by calling verify_on_setup for vms which checks if l3 routes are there or not ") self.vn1_fixture.add_forwarding_mode( project_fq_name=self.inputs.project_fq_name, vn_name=self.vn1_name, forwarding_mode='l2_l3') assert self.vn1_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Configure IPV6 address cmd_to_pass1 = ['ifconfig eth1 inet6 add %s' % (vm1_ip6)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 inet6 add %s' % (vm2_ip6)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Bring the intreface up forcefully cmd_to_pass3 = ['ifconfig eth1 1'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1 1'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(30) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global').split('/')[0] vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global').split('/')[0] self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ipv6(vm2_ipv6, intf='eth1') assert vn_l2_vm2_fixture.ping_to_ipv6(vm1_ipv6, intf='eth1') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute(comp_vm1_ip, encap.upper()) self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) return result # End verify_change_of_l2_vn_forwarding_mode def verify_change_of_l2l3_vn_forwarding_mode(self, encap): '''Change the vn forwarding mode from l2l3 only to l2 and verify l3 routes gets deleted ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vm1_ip6 = '1001::1/64' vm2_ip6 = '1001::2/64' vn3_fixture = self.res.vn3_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name (self.vn1_name, self.vn1_subnets) = ("EVPN-Test-VN1", ["55.1.1.0/24"]) self.vn1_fixture = self.useFixture( VNFixture(project_name=self.inputs.project_name, connections=self.connections, inputs=self.inputs, vn_name=self.vn1_name, subnets=self.vn1_subnets)) assert self.vn1_fixture.verify_on_setup() vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, self.vn1_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, self.vn1_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() self.logger.info( "Changing vn1 forwarding mode from l2l3 to l2 only followed by calling verify_on_setup for vms which checks l2 routes and explicity check l3 routes are removed ") self.vn1_fixture.add_forwarding_mode( project_fq_name=self.inputs.project_fq_name, vn_name=self.vn1_name, forwarding_mode='l2') assert self.vn1_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Explictly check that l3 routes are removed for compute_ip in self.inputs.compute_ips: inspect_h = self.agent_inspect[compute_ip] vn = inspect_h.get_vna_vn(vn_name=self.vn1_fixture.vn_name) if vn is None: continue agent_vrf_objs = inspect_h.get_vna_vrf_objs( vn_name=self.vn1_fixture.vn_name) agent_vrf_obj = self.get_matching_vrf( agent_vrf_objs['vrf_list'], self.vn1_fixture.vrf_name) agent_vrf_id = agent_vrf_obj['ucindex'] agent_path_vm1 = inspect_h.get_vna_active_route( vrf_id=agent_vrf_id, ip=vn_l2_vm1_fixture.vm_ips[1], prefix='32') agent_path_vm2 = inspect_h.get_vna_active_route( vrf_id=agent_vrf_id, ip=vn_l2_vm2_fixture.vm_ips[1], prefix='32') if agent_path_vm1 or agent_path_vm1: result = False assert result # Configure IPV6 address cmd_to_pass1 = ['ifconfig eth1 inet6 add %s' % (vm1_ip6)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 inet6 add %s' % (vm2_ip6)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Bring the intreface up forcefully cmd_to_pass3 = ['ifconfig eth1 1'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1 1'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(30) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global').split('/')[0] vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global').split('/')[0] assert vn_l2_vm1_fixture.ping_to_ipv6(vm2_ipv6, intf='eth1') assert vn_l2_vm2_fixture.ping_to_ipv6(vm1_ipv6, intf='eth1') return result # End verify_change_of_l2l3_vn_forwarding_mode def get_matching_vrf(self, vrf_objs, vrf_name): return [x for x in vrf_objs if x['name'] == vrf_name][0] def verify_vxlan_mode_with_configured_vxlan_id_l2_vn(self): ''' Configure vxlan_id explicitly with vn's forwarding mode as l2 and send traffic between vm's using this interface and check traffic is coming with configured vxlan_id ''' encap = 'vxlan' # Setting up default encapsulation config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vm1_ip6 = '1001::1/64' vm2_ip6 = '1001::2/64' vn3_fixture = self.res.vn3_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name (self.vn1_name, self.vn1_subnets) = ("EVPN-Test-VN1", ["55.1.1.0/24"]) # Randomly choose a vxlan_id choosing between 1 and 255 for this test # case vxlan_random_id = random.randint(1, 255) vxlan_hex_id = hex(vxlan_random_id).split('x')[1] vxlan_hex_id = vxlan_hex_id + '00' self.vxlan_id = str(vxlan_random_id) self.vn1_fixture = self.useFixture( VNFixture( project_name=self.inputs.project_name, connections=self.connections, inputs=self.inputs, vn_name=self.vn1_name, subnets=self.vn1_subnets, forwarding_mode='l2', vxlan_id=self.vxlan_id)) self.addCleanup( self.vn1_fixture.set_vxlan_network_identifier_mode, mode='automatic') assert self.vn1_fixture.verify_on_setup() vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, self.vn1_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, self.vn1_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn3_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Verify that configured vxlan_id shows up in agent introspect for compute_ip in self.inputs.compute_ips: inspect_h = self.agent_inspect[compute_ip] vn = inspect_h.get_vna_vn(vn_name=self.vn1_fixture.vn_name) if vn is None: continue agent_vrf_objs = inspect_h.get_vna_vrf_objs( vn_name=self.vn1_fixture.vn_name) agent_vrf_obj = self.get_matching_vrf( agent_vrf_objs['vrf_list'], self.vn1_fixture.vrf_name) agent_vrf_id = agent_vrf_obj['ucindex'] agent_path_local_vm = inspect_h.get_vna_layer2_route( vrf_id=agent_vrf_id, mac='ff:ff:ff:ff:ff:ff') agent_path_vn_l2_vm1 = inspect_h.get_vna_layer2_route( vrf_id=agent_vrf_id, mac=vn_l2_vm1_fixture.mac_addr[self.vn1_fixture.vn_fq_name]) agent_path_vn_l2_vm2 = inspect_h.get_vna_layer2_route( vrf_id=agent_vrf_id, mac=vn_l2_vm2_fixture.mac_addr[self.vn1_fixture.vn_fq_name]) if agent_path_local_vm['routes'][0]['path_list'][0]['vxlan_id'] != self.vxlan_id: result = False assert result, 'Failed to configure vxlan_id problem with local vm path' if agent_path_vn_l2_vm1['routes'][0]['path_list'][0]['vxlan_id'] != self.vxlan_id: result = False assert result, 'Failed to configure vxlan_id problem with route for %s' + \ vn_l2_vm1_name if agent_path_vn_l2_vm2['routes'][0]['path_list'][0]['vxlan_id'] != self.vxlan_id: result = False assert result, 'Failed to configure vxlan_id problem with route for %s' + \ vn_l2_vm1_name self.logger.info('vxlan_id shown in agent introspect %s ' % (agent_path_local_vm['routes'][0]['path_list'][0]['vxlan_id'])) # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() # Configure IPV6 address cmd_to_pass1 = ['ifconfig eth1 inet6 add %s' % (vm1_ip6)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 inet6 add %s' % (vm2_ip6)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Bring the intreface up forcefully cmd_to_pass3 = ['ifconfig eth1 1'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1 1'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(30) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global').split('/')[0] vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global').split('/')[0] self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ipv6(vm2_ipv6, intf='eth1') assert vn_l2_vm2_fixture.ping_to_ipv6(vm1_ipv6, intf='eth1') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip # Pad vxlan_hex_id to length of 4 and grep it in tcpdump if vxlan_random_id < 15: vxlan_hex_id = '0' + vxlan_hex_id self.tcpdump_analyze_on_compute( comp_vm1_ip, encap.upper(), vxlan_id=vxlan_hex_id) self.tcpdump_analyze_on_compute( comp_vm2_ip, encap.upper(), vxlan_id=vxlan_hex_id) return result # End verify_vxlan_mode_with_configured_vxlan_id_l2_vn def verify_vxlan_mode_with_configured_vxlan_id_l2l3_vn(self): ''' Configure vxlan_id explicitly with vn's forwarding mode as l2l3, send traffic and check if traffic is coming with configured vxlan_id ''' encap = 'vxlan' # Setting up default encapsulation config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vm1_ip6 = '1001::1/64' vm2_ip6 = '1001::2/64' vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name (self.vn1_name, self.vn1_subnets) = ("EVPN-Test-VN1", ["55.1.1.0/24"]) # Randomly choose a vxlan_id choosing between 1 and 255 for this test # case vxlan_random_id = random.randint(1, 255) vxlan_hex_id = hex(vxlan_random_id).split('x')[1] vxlan_hex_id = vxlan_hex_id + '00' self.vxlan_id = str(vxlan_random_id) self.vn1_fixture = self.useFixture( VNFixture( project_name=self.inputs.project_name, connections=self.connections, inputs=self.inputs, vn_name=self.vn1_name, subnets=self.vn1_subnets, vxlan_id=self.vxlan_id)) self.addCleanup( self.vn1_fixture.set_vxlan_network_identifier_mode, mode='automatic') assert self.vn1_fixture.verify_on_setup() vn_l2_vm1_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=self.vn1_fixture.obj, image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=self.vn1_fixture.obj, image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Verify that configured vxlan_id shows up in agent introspect for compute_ip in self.inputs.compute_ips: inspect_h = self.agent_inspect[compute_ip] vn = inspect_h.get_vna_vn(vn_name=self.vn1_fixture.vn_name) if vn is None: continue agent_vrf_objs = inspect_h.get_vna_vrf_objs( vn_name=self.vn1_fixture.vn_name) agent_vrf_obj = self.get_matching_vrf( agent_vrf_objs['vrf_list'], self.vn1_fixture.vrf_name) agent_vrf_id = agent_vrf_obj['ucindex'] agent_path_local_vm = inspect_h.get_vna_layer2_route( vrf_id=agent_vrf_id, mac='ff:ff:ff:ff:ff:ff') agent_path_vn_l2_vm1 = inspect_h.get_vna_layer2_route( vrf_id=agent_vrf_id, mac=vn_l2_vm1_fixture.mac_addr[self.vn1_fixture.vn_fq_name]) agent_path_vn_l2_vm2 = inspect_h.get_vna_layer2_route( vrf_id=agent_vrf_id, mac=vn_l2_vm2_fixture.mac_addr[self.vn1_fixture.vn_fq_name]) if agent_path_local_vm['routes'][0]['path_list'][0]['vxlan_id'] != self.vxlan_id: result = False assert result, 'Failed to configure vxlan_id problem with local vm path' if agent_path_vn_l2_vm1['routes'][0]['path_list'][0]['vxlan_id'] != self.vxlan_id: result = False assert result, 'Failed to configure vxlan_id problem with route for %s' + \ vn_l2_vm1_name if agent_path_vn_l2_vm2['routes'][0]['path_list'][0]['vxlan_id'] != self.vxlan_id: result = False assert result, 'Failed to configure vxlan_id problem with route for %s' + \ vn_l2_vm1_name self.logger.info('vxlan_id shown in agent introspect %s ' % (agent_path_local_vm['routes'][0]['path_list'][0]['vxlan_id'])) # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() # Configure IPV6 address cmd_to_pass1 = ['ifconfig eth0 inet6 add %s' % (vm1_ip6)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth0 inet6 add %s' % (vm2_ip6)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( addr_type='global').split('/')[0] vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( addr_type='global').split('/')[0] self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ipv6(vm2_ipv6) assert vn_l2_vm2_fixture.ping_to_ipv6(vm1_ipv6) comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip # Pad vxlan_hex_id to length of 4 and grep it in tcpdump if vxlan_random_id < 15: vxlan_hex_id = '0' + vxlan_hex_id self.tcpdump_analyze_on_compute( comp_vm1_ip, encap.upper(), vxlan_id=vxlan_hex_id) self.tcpdump_analyze_on_compute( comp_vm2_ip, encap.upper(), vxlan_id=vxlan_hex_id) return result # end verify_vxlan_mode_with_configured_vxlan_id_l2l3_vn def verify_change_of_l2l3_vn_forwarding_mode(self, encap): '''Change the vn forwarding mode from l2l3 only to l2 and verify l3 routes gets deleted ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vm1_ip6 = '1001::1/64' vm2_ip6 = '1001::2/64' vn3_fixture = self.res.vn3_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name (self.vn1_name, self.vn1_subnets) = ("EVPN-Test-VN1", ["55.1.1.0/24"]) self.vn1_fixture = self.useFixture( VNFixture(project_name=self.inputs.project_name, connections=self.connections, inputs=self.inputs, vn_name=self.vn1_name, subnets=self.vn1_subnets)) assert self.vn1_fixture.verify_on_setup() vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, self.vn1_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, self.vn1_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Wait till vm is up self.nova_fixture.wait_till_vm_is_up(vn_l2_vm1_fixture.vm_obj) self.nova_fixture.wait_till_vm_is_up(vn_l2_vm2_fixture.vm_obj) self.logger.info( "Changing vn1 forwarding mode from l2l3 to l2 only followed by calling verify_on_setup for vms which checks l2 routes and explicity check l3 routes are removed ") self.vn1_fixture.add_forwarding_mode( project_fq_name=self.inputs.project_fq_name, vn_name=self.vn1_name, forwarding_mode='l2') assert self.vn1_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Explictly check that l3 routes are removed for compute_ip in self.inputs.compute_ips: inspect_h = self.agent_inspect[compute_ip] vn = inspect_h.get_vna_vn(vn_name=self.vn1_fixture.vn_name) if vn is None: continue agent_vrf_objs = inspect_h.get_vna_vrf_objs( vn_name=self.vn1_fixture.vn_name) agent_vrf_obj = self.get_matching_vrf( agent_vrf_objs['vrf_list'], self.vn1_fixture.vrf_name) agent_vrf_id = agent_vrf_obj['ucindex'] agent_path_vm1 = inspect_h.get_vna_active_route( vrf_id=agent_vrf_id, ip=vn_l2_vm1_fixture.vm_ips[1], prefix='32') agent_path_vm2 = inspect_h.get_vna_active_route( vrf_id=agent_vrf_id, ip=vn_l2_vm2_fixture.vm_ips[1], prefix='32') if agent_path_vm1 or agent_path_vm1: result = False assert result # Configure IPV6 address cmd_to_pass1 = ['ifconfig eth1 inet6 add %s' % (vm1_ip6)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 inet6 add %s' % (vm2_ip6)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Bring the intreface up forcefully cmd_to_pass3 = ['ifconfig eth1 1'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1 1'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(30) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global').split('/')[0] vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global').split('/')[0] self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ipv6(vm2_ipv6, intf='eth1') assert vn_l2_vm2_fixture.ping_to_ipv6(vm1_ipv6, intf='eth1') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute(comp_vm1_ip, encap.upper()) self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) return result # End verify_change_of_l2l3_vn_forwarding_mode def get_matching_vrf(self, vrf_objs, vrf_name): return [x for x in vrf_objs if x['name'] == vrf_name][0] def verify_l2_vm_file_trf_by_scp(self, encap): '''Description: Test to validate File Transfer using scp between VMs. Files of different sizes. L2 forwarding mode is used for scp. ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] compute_3 = host_list[0] if len(host_list) > 2: compute_1 = host_list[0] compute_2 = host_list[1] compute_3 = host_list[2] elif len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] compute_3 = host_list[1] vn3_fixture = self.res.vn3_fixture vn4_fixture = self.res.vn4_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name vm1_name = 'dhcp-server-vm' vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, flavor='contrail_flavor_large', vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='redmine-dhcp-server', vm_name=vm1_name, node_name=compute_1)) vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_2)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_3)) # Wait till vm is up assert vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() assert vn3_fixture.verify_on_setup() assert vn4_fixture.verify_on_setup() assert vm1_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Configure dhcp-server vm on eth1 and bring the intreface up # forcefully cmd_to_pass1 = ['ifconfig eth1 13.1.1.253 netmask 255.255.255.0'] vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) cmd_to_pass2 = ['service isc-dhcp-server restart'] vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass2) sleep(5) for i in range(5): self.logger.info("Retry %s for bringing up eth1 up" % (i)) cmd_to_pass3 = ['dhclient eth1'] ret1 = vn_l2_vm1_fixture.run_cmd_on_vm( cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['dhclient eth1'] ret2 = vn_l2_vm2_fixture.run_cmd_on_vm( cmds=cmd_to_pass4, as_sudo=True) if ret1 and ret2: break sleep(2) sleep(30) i = 'ifconfig eth1' cmd_to_pass5 = [i] out = vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass5) output = vn_l2_vm2_fixture.return_output_cmd_dict[i] match = re.search('inet addr:(.+?) Bcast:', output) if match: dest_vm_ip = match.group(1) valid_ip = re.search('13.1.1.(.*)', output) assert valid_ip, 'failed to get ip from 13.1.1.0 subnet as configured in dhcp vm' vn_l2_vm1_fixture.put_pub_key_to_vm() vn_l2_vm2_fixture.put_pub_key_to_vm() file_sizes = ['1000', '1101', '1202', '1303', '1373', '1374', '2210', '2845', '3000', '10000', '2000000'] for size in file_sizes: self.logger.info("-" * 80) self.logger.info("FILE SIZE = %sB" % size) self.logger.info("-" * 80) self.logger.info('Transferring the file from %s to %s using scp' % (vn_l2_vm1_fixture.vm_name, vn_l2_vm2_fixture.vm_name)) filename = 'testfile' # Create file cmd = 'dd bs=%s count=1 if=/dev/zero of=%s' % (size, filename) vn_l2_vm1_fixture.run_cmd_on_vm(cmds=[cmd]) # Copy key vn_l2_vm2_fixture.run_cmd_on_vm( cmds=['cp -f ~root/.ssh/authorized_keys ~/.ssh/'], as_sudo=True) # Scp file from EVPN_VN_L2_VM1 to EVPN_VN_L2_VM2 using # EVPN_VN_L2_VM2 vm's eth1 interface ip vn_l2_vm1_fixture.scp_file_to_vm(filename, vm_ip=dest_vm_ip) vn_l2_vm1_fixture.run_cmd_on_vm(cmds=['sync']) # Verify if file size is same in destination vm out_dict = vn_l2_vm2_fixture.run_cmd_on_vm( cmds=['ls -l %s' % (filename)]) if size in out_dict.values()[0]: self.logger.info('File of size %s is trasferred successfully to \ %s by scp ' % (size, dest_vm_ip)) else: self.logger.warn('File of size %s is not trasferred fine to %s \ by scp !! Pls check logs' % (size, dest_vm_ip)) result = False assert result return result def verify_l2_vm_file_trf_by_tftp(self, encap): '''Description: Test to validate File Transfer using tftp between VMs. Files of different sizes. L2 forwarding mode is used for tftp. ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] compute_3 = host_list[0] if len(host_list) > 2: compute_1 = host_list[0] compute_2 = host_list[1] compute_3 = host_list[2] elif len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] compute_3 = host_list[1] vn3_fixture = self.res.vn3_fixture vn4_fixture = self.res.vn4_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name file = 'testfile' y = 'ls -lrt /var/lib/tftpboot/%s' % file cmd_to_check_file = [y] z = 'ls -lrt /var/lib/tftpboot/%s' % file cmd_to_check_tftpboot_file = [z] file_sizes = ['1000', '1101', '1202', '1303', '1373', '1374', '2210', '2845', '3000', '10000', '2000000'] vm1_name = 'dhcp-server-vm' vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, flavor='contrail_flavor_large', vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='redmine-dhcp-server', vm_name=vm1_name, node_name=compute_1)) vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, flavor='contrail_flavor_small', vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu-traffic', vm_name=vn_l2_vm1_name, node_name=compute_2)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, flavor='contrail_flavor_small', vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu-traffic', vm_name=vn_l2_vm2_name, node_name=compute_3)) # Wait till vm is up assert vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() assert vn3_fixture.verify_on_setup() assert vn4_fixture.verify_on_setup() assert vm1_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Configure dhcp-server vm on eth1 and bring the intreface up # forcefully cmd_to_pass1 = ['ifconfig eth1 13.1.1.253 netmask 255.255.255.0'] vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) cmd_to_pass2 = ['service isc-dhcp-server restart'] vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass2) sleep(5) for i in range(5): self.logger.info("Retry %s for bringing up eth1 up" % (i)) cmd_to_pass3 = ['dhclient eth1'] ret1 = vn_l2_vm1_fixture.run_cmd_on_vm( cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['dhclient eth1'] ret2 = vn_l2_vm2_fixture.run_cmd_on_vm( cmds=cmd_to_pass4, as_sudo=True) if ret1 and ret2: break sleep(2) sleep(30) i = 'ifconfig eth1' cmd_to_pass5 = [i] out = vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass5) output = vn_l2_vm2_fixture.return_output_cmd_dict[i] match = re.search('inet addr:(.+?) Bcast:', output) if match: dest_vm_ip = match.group(1) valid_ip = re.search('13.1.1.(.*)', output) assert valid_ip, 'failed to get ip from 13.1.1.0 subnet as configured in dhcp vm' for size in file_sizes: self.logger.info("-" * 80) self.logger.info("FILE SIZE = %sB" % size) self.logger.info("-" * 80) self.logger.info('Transferring the file from %s to %s using tftp' % (vn_l2_vm1_fixture.vm_name, vn_l2_vm2_fixture.vm_name)) filename = 'testfile' # Create file cmd = 'dd bs=%s count=1 if=/dev/zero of=%s' % (size, filename) vn_l2_vm1_fixture.run_cmd_on_vm(cmds=[cmd]) # Create the file on the remote machine so that put can be done vn_l2_vm2_fixture.run_cmd_on_vm( cmds=['sudo touch /var/lib/tftpboot/%s' % (filename), 'sudo chmod 777 /var/lib/tftpboot/%s' % (filename)]) # tftp file from EVPN_VN_L2_VM1 to EVPN_VN_L2_VM2 using # EVPN_VN_L2_VM2 vm's eth1 interface ip vn_l2_vm1_fixture.tftp_file_to_vm(filename, vm_ip=dest_vm_ip) vn_l2_vm1_fixture.run_cmd_on_vm(cmds=['sync']) # Verify if file size is same in destination vm self.logger.info('Checking if the file exists on %s' % (vn_l2_vm2_fixture.vm_name)) vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_check_file) output = vn_l2_vm2_fixture.return_output_cmd_dict[y] print output if size in output: self.logger.info( 'File of size %sB transferred via tftp properly' % size) else: result = False self.logger.error( 'File of size %sB not transferred via tftp ' % size) assert result, 'File of size %sB not transferred via tftp ' % size return result def verify_vlan_tagged_packets_for_l2_vn(self, encap): ''' Send traffic on tagged interfaces eth1.100 and eth1.200 respectively and verify configured vlan tag in tcpdump ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] # Setup multi interface vms with eth1 as l2 interface vn3_fixture = self.res.vn3_fixture vn4_fixture = self.res.vn4_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name vn3_subnets = self.res.vn3_subnets vn4_subnets = self.res.vn4_subnets vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, flavor='contrail_flavor_large', vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu-with-vlan8021q', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, flavor='contrail_flavor_large', vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu-with-vlan8021q', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn3_fixture.verify_on_setup() assert vn4_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() # Bring the intreface up forcefully cmd_to_pass1 = ['ifconfig eth1 1'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 1'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Configure 2 vlan's on eth1 with id 100 and 200 configure ips and # bring up the new interfaces, first configure vlan 100 cmd_to_pass1 = ['vconfig add eth1 100'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['vconfig add eth1 100'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) cmd_to_pass3 = ['ip addr add 10.0.0.1/24 dev eth1.100'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ip addr add 10.0.0.2/24 dev eth1.100'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) # Configure vlan with id 200 and give ip to new interface on both vms cmd_to_pass1 = ['vconfig add eth1 200'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['vconfig add eth1 200'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) cmd_to_pass3 = ['ip addr add 20.0.0.1/24 dev eth1.200'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ip addr add 20.0.0.2/24 dev eth1.200'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) # Bring the new interfaces eth1.100 and eth1.200 forcefully cmd_to_pass1 = ['ifconfig eth1.100 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1.100 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) cmd_to_pass3 = ['ifconfig eth1.200 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1.200 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(30) i = 'ifconfig eth1.100' j = 'ifconfig eth1.200' cmd_to_pass1 = [i, j] out = vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) output = vn_l2_vm1_fixture.return_output_cmd_dict[i] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm1_fixture_eth1_100_ip = match.group(1) output = vn_l2_vm1_fixture.return_output_cmd_dict[j] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm1_fixture_eth1_200_ip = match.group(1) out = vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) output = vn_l2_vm2_fixture.return_output_cmd_dict[i] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm2_fixture_eth1_100_ip = match.group(1) output = vn_l2_vm2_fixture.return_output_cmd_dict[j] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm2_fixture_eth1_200_ip = match.group(1) # Analyze traffic and verify that configured vlan_id is seen vlan_id_pattern1 = '8100' + str('\ ') + '0064' vlan_id_pattern2 = '8100' + str('\ ') + '00c8' self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ip( vn_l2_vm2_fixture_eth1_100_ip, count='15') comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm2_ip, encap.upper(), vlan_id=vlan_id_pattern1) self.tcpdump_start_on_all_compute() assert vn_l2_vm2_fixture.ping_to_ip( vn_l2_vm1_fixture_eth1_100_ip, count='15') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm1_ip, encap.upper(), vlan_id=vlan_id_pattern1) self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ip( vn_l2_vm2_fixture_eth1_200_ip, count='15') comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm2_ip, encap.upper(), vlan_id=vlan_id_pattern2) self.tcpdump_start_on_all_compute() assert vn_l2_vm2_fixture.ping_to_ip( vn_l2_vm1_fixture_eth1_200_ip, count='15') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm1_ip, encap.upper(), vlan_id=vlan_id_pattern2) return True # end verify_vlan_tagged_packets_for_l2_vn def verify_vlan_qinq_tagged_packets_for_l2_vn(self, encap): ''' Send traffic on tagged interfaces eth1.100.1000 and eth1.200.2000 respectively on both vms and verify configured vlan tag in tcpdump ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] # Setup multi interface vms with eth1 as l2 interface vn3_fixture = self.res.vn3_fixture vn4_fixture = self.res.vn4_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name vn3_subnets = self.res.vn3_subnets vn4_subnets = self.res.vn4_subnets vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, flavor='contrail_flavor_large', vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu-with-vlan8021q', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, flavor='contrail_flavor_large', vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu-with-vlan8021q', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn3_fixture.verify_on_setup() assert vn4_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() # Bring the intreface up forcefully cmd_to_pass1 = ['ifconfig eth1 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Configure 2 vlan's on eth1 with id 100 and 200 configure ips and # bring up the new interface forcefully vlan_id1 = '100' vlan_id2 = '200' i = 'vconfig add eth1 ' + vlan_id1 j = 'ip addr add 10.0.0.1/24 dev eth1.' + vlan_id1 k = 'vconfig add eth1 ' + vlan_id2 l = 'ip addr add 20.0.0.1/24 dev eth1.' + vlan_id2 cmd_to_pass1 = [i, j, k, l] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) j = 'ip addr add 10.0.0.2/24 dev eth1.' + vlan_id1 l = 'ip addr add 20.0.0.2/24 dev eth1.' + vlan_id2 cmd_to_pass2 = [i, j, k, l] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Bring the new interfaces eth1.100 and eth1.200 forcefully cmd_to_pass1 = ['ifconfig eth1.100 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1.100 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) cmd_to_pass3 = ['ifconfig eth1.200 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1.200 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(30) # Check if interface got ip assigned correctly i = 'ifconfig eth1.100' j = 'ifconfig eth1.200' cmd_to_pass1 = [i, j] out = vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) output = vn_l2_vm1_fixture.return_output_cmd_dict[i] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm1_fixture_eth1_100_ip = match.group(1) output = vn_l2_vm1_fixture.return_output_cmd_dict[j] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm1_fixture_eth1_200_ip = match.group(1) out = vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) output = vn_l2_vm2_fixture.return_output_cmd_dict[i] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm2_fixture_eth1_100_ip = match.group(1) output = vn_l2_vm2_fixture.return_output_cmd_dict[j] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm2_fixture_eth1_200_ip = match.group(1) # Configure new vlans on top of eth1.100 and eth1.200 vlans with # vlan_ids 1000 and 2000 respectively vlan_eth1_id1 = '1000' vlan_eth1_id2 = '2000' i = 'vconfig add eth1.100 ' + vlan_eth1_id1 j = 'ip addr add 30.0.0.1/24 dev eth1.100.' + vlan_eth1_id1 k = 'vconfig add eth1.100 ' + vlan_eth1_id2 l = 'ip addr add 40.0.0.1/24 dev eth1.100.' + vlan_eth1_id2 cmd_to_pass1 = [i, j, k, l] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) j = 'ip addr add 30.0.0.2/24 dev eth1.100.' + vlan_eth1_id1 l = 'ip addr add 40.0.0.2/24 dev eth1.100.' + vlan_eth1_id2 cmd_to_pass2 = [i, j, k, l] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) i = 'vconfig add eth1.200 ' + vlan_eth1_id1 j = 'ip addr add 50.0.0.1/24 dev eth1.200.' + vlan_eth1_id1 k = 'vconfig add eth1.200 ' + vlan_eth1_id2 l = 'ip addr add 60.0.0.1/24 dev eth1.200.' + vlan_eth1_id2 cmd_to_pass1 = [i, j, k, l] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) j = 'ip addr add 50.0.0.2/24 dev eth1.200.' + vlan_eth1_id1 l = 'ip addr add 60.0.0.2/24 dev eth1.200.' + vlan_eth1_id2 cmd_to_pass2 = [i, j, k, l] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Bring the new interfaces on eth1.100 and eth1.200 with tag 1000 and # 2000 up cmd_to_pass1 = ['ifconfig eth1.100.1000 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1.100.1000 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) sleep(10) cmd_to_pass3 = ['ifconfig eth1.100.2000 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1.100.2000 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(10) cmd_to_pass1 = ['ifconfig eth1.200.1000 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1.200.1000 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) sleep(10) cmd_to_pass3 = ['ifconfig eth1.200.2000 up'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1.200.2000 up'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(10) # Check if interface got ip assigned correctly i = 'ifconfig eth1.100.1000' j = 'ifconfig eth1.100.2000' k = 'ifconfig eth1.200.1000' l = 'ifconfig eth1.200.2000' cmd_to_pass1 = [i, j, k, l] out = vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) output = vn_l2_vm1_fixture.return_output_cmd_dict[i] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm1_fixture_eth1_100_1000_ip = match.group(1) output = vn_l2_vm1_fixture.return_output_cmd_dict[j] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm1_fixture_eth1_100_2000_ip = match.group(1) output = vn_l2_vm1_fixture.return_output_cmd_dict[k] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm1_fixture_eth1_200_1000_ip = match.group(1) output = vn_l2_vm1_fixture.return_output_cmd_dict[l] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm1_fixture_eth1_200_2000_ip = match.group(1) out = vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass1) output = vn_l2_vm2_fixture.return_output_cmd_dict[i] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm2_fixture_eth1_100_1000_ip = match.group(1) output = vn_l2_vm2_fixture.return_output_cmd_dict[j] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm2_fixture_eth1_100_2000_ip = match.group(1) output = vn_l2_vm2_fixture.return_output_cmd_dict[k] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm2_fixture_eth1_200_1000_ip = match.group(1) output = vn_l2_vm2_fixture.return_output_cmd_dict[l] match = re.search('inet addr:(.+?) Bcast:', output) assert match, 'Failed to get configured ip' vn_l2_vm2_fixture_eth1_200_2000_ip = match.group(1) # Ping between the interface and verify that vlan id is seen in traffic vlan_id_pattern1 = '8100' + \ str('\ ') + '0064' + str('\ ') + '8100' + str('\ ') + '03e8' vlan_id_pattern2 = '8100' + \ str('\ ') + '00c8' + str('\ ') + '8100' + str('\ ') + '03e8' vlan_id_pattern3 = '8100' + \ str('\ ') + '0064' + str('\ ') + '8100' + str('\ ') + '07d0' vlan_id_pattern4 = '8100' + \ str('\ ') + '00c8' + str('\ ') + '8100' + str('\ ') + '07d0' self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ip( vn_l2_vm2_fixture_eth1_100_1000_ip, other_opt='-I eth1.100.1000', count='15') comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm2_ip, encap.upper(), vlan_id=vlan_id_pattern1) self.tcpdump_start_on_all_compute() assert vn_l2_vm2_fixture.ping_to_ip( vn_l2_vm1_fixture_eth1_100_1000_ip, other_opt='-I eth1.100.1000', count='15') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm1_ip, encap.upper(), vlan_id=vlan_id_pattern1) self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ip( vn_l2_vm2_fixture_eth1_100_2000_ip, other_opt='-I eth1.100.2000', count='15') comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm2_ip, encap.upper(), vlan_id=vlan_id_pattern3) self.tcpdump_start_on_all_compute() assert vn_l2_vm2_fixture.ping_to_ip( vn_l2_vm1_fixture_eth1_100_2000_ip, other_opt='-I eth1.100.2000', count='15') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm1_ip, encap.upper(), vlan_id=vlan_id_pattern3) self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ip( vn_l2_vm2_fixture_eth1_200_1000_ip, other_opt='-I eth1.200.1000', count='15') comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm2_ip, encap.upper(), vlan_id=vlan_id_pattern2) self.tcpdump_start_on_all_compute() assert vn_l2_vm2_fixture.ping_to_ip( vn_l2_vm1_fixture_eth1_200_1000_ip, other_opt='-I eth1.200.1000', count='15') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm1_ip, encap.upper(), vlan_id=vlan_id_pattern2) self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ip( vn_l2_vm2_fixture_eth1_200_2000_ip, other_opt='-I eth1.200.2000', count='15') comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm2_ip, encap.upper(), vlan_id=vlan_id_pattern4) self.tcpdump_start_on_all_compute() assert vn_l2_vm2_fixture.ping_to_ip( vn_l2_vm1_fixture_eth1_200_2000_ip, other_opt='-I eth1.200.2000', count='15') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip self.tcpdump_analyze_on_compute( comp_vm1_ip, encap.upper(), vlan_id=vlan_id_pattern4) # Ping between interfaces with different outer vlan tag and expect the # ping to fail self.logger.info( "Expecting the pings to fail as the outer vlan tag is different") assert not ( vn_l2_vm1_fixture.ping_to_ip(vn_l2_vm2_fixture_eth1_200_1000_ip, other_opt='-I eth1.100.1000')), 'Failed in resolving outer vlan tag' assert not ( vn_l2_vm1_fixture.ping_to_ip(vn_l2_vm2_fixture_eth1_200_2000_ip, other_opt='-I eth1.100.2000')), 'Failed in resolving outer vlan tag' assert not ( vn_l2_vm2_fixture.ping_to_ip(vn_l2_vm1_fixture_eth1_100_1000_ip, other_opt='-I eth1.200.1000')), 'Failed in resolving outer vlan tag' assert not ( vn_l2_vm2_fixture.ping_to_ip(vn_l2_vm1_fixture_eth1_100_2000_ip, other_opt='-I eth1.200.2000')), 'Failed in resolving outer vlan tag' return True # End verify_vlan_qinq_tagged_packets_for_l2_vn def verify_epvn_l2_mode_control_node_switchover(self, encap): '''Setup l2 evpn and do control node switch over verify ping before and after cn switch over ''' if len(set(self.inputs.bgp_ips)) < 2: self.logger.info( "Skiping Test. At least 2 control node required to run the test") raise self.skipTest( "Skiping Test. At least 2 control node required to run the test") # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vn1_vm1 = '1001::1/64' vn1_vm2 = '1001::2/64' vn3_fixture = self.res.vn3_fixture vn4_fixture = self.res.vn4_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn3_fixture.verify_on_setup() assert vn4_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Wait till vm is up assert vn_l2_vm1_fixture.wait_till_vm_is_up() assert vn_l2_vm2_fixture.wait_till_vm_is_up() # Configured IPV6 address cmd_to_pass1 = ['ifconfig eth1 inet6 add %s' % (vn1_vm1)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 inet6 add %s' % (vn1_vm2)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Bring the intreface up forcefully cmd_to_pass3 = ['ifconfig eth1 1'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1 1'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(30) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global') vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global') self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ipv6( vm2_ipv6.split("/")[0], count='15') assert vn_l2_vm2_fixture.ping_to_ipv6( vm1_ipv6.split("/")[0], count='15') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute(comp_vm1_ip, encap.upper()) self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) # Figuring the active control node active_controller = None self.agent_inspect = self.connections.agent_inspect inspect_h = self.agent_inspect[vn_l2_vm1_fixture.vm_node_ip] agent_xmpp_status = inspect_h.get_vna_xmpp_connection_status() for entry in agent_xmpp_status: if entry['cfg_controller'] == 'Yes': active_controller = entry['controller_ip'] active_controller_host_ip = self.inputs.host_data[ active_controller]['host_ip'] self.logger.info('Active control node from the Agent %s is %s' % (vn_l2_vm1_fixture.vm_node_ip, active_controller_host_ip)) # Stop on Active node self.logger.info('Stoping the Control service in %s' % (active_controller_host_ip)) self.inputs.stop_service( 'contrail-control', [active_controller_host_ip]) sleep(5) # Check the control node shifted to other control node new_active_controller = None new_active_controller_state = None inspect_h = self.agent_inspect[vn_l2_vm1_fixture.vm_node_ip] agent_xmpp_status = inspect_h.get_vna_xmpp_connection_status() for entry in agent_xmpp_status: if entry['cfg_controller'] == 'Yes': new_active_controller = entry['controller_ip'] new_active_controller_state = entry['state'] new_active_controller_host_ip = self.inputs.host_data[ new_active_controller]['host_ip'] self.logger.info('Active control node from the Agent %s is %s' % (vn_l2_vm1_fixture.vm_node_ip, new_active_controller_host_ip)) if new_active_controller_host_ip == active_controller_host_ip: self.logger.error( 'Control node switchover fail. Old Active controlnode was %s and new active control node is %s' % (active_controller_host_ip, new_active_controller_host_ip)) result = False if new_active_controller_state != 'Established': self.logger.error( 'Agent does not have Established XMPP connection with Active control node') result = result and False # Start the control node service again self.logger.info('Starting the Control service in %s' % (active_controller_host_ip)) self.inputs.start_service( 'contrail-control', [active_controller_host_ip]) # Check the BGP peering status from the currently active control node sleep(5) cn_bgp_entry = self.cn_inspect[ new_active_controller_host_ip].get_cn_bgp_neigh_entry() sleep(5) for entry in cn_bgp_entry: if entry['state'] != 'Established': result = result and False self.logger.error( 'With Peer %s peering is not Established. Current State %s ' % (entry['peer'], entry['state'])) # Check ping self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ipv6( vm2_ipv6.split("/")[0], count='15') assert vn_l2_vm2_fixture.ping_to_ipv6( vm1_ipv6.split("/")[0], count='15') comp_vm1_ip = vn_l2_vm1_fixture.vm_node_ip comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip self.tcpdump_analyze_on_compute(comp_vm1_ip, encap.upper()) self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) return result # verify_epvn_l2_mode_control_node_switchover def verify_epvn_with_agent_restart(self, encap): '''Restart the vrouter service and verify the impact on L2 route ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vn1_fixture = self.res.vn1_fixture vn2_fixture = self.res.vn2_fixture vm1_name = self.res.vn1_vm1_name vm2_name = self.res.vn1_vm2_name vn1_name = self.res.vn1_name vn1_subnets = self.res.vn1_subnets vn1_vm1_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn1_fixture.obj, image_name='ubuntu', vm_name=vm1_name, node_name=compute_1)) vn1_vm2_fixture = self.useFixture( VMFixture( project_name=self.inputs.project_name, connections=self.connections, vn_obj=vn1_fixture.obj, image_name='ubuntu', vm_name=vm2_name, node_name=compute_2)) assert vn1_fixture.verify_on_setup() assert vn2_fixture.verify_on_setup() assert vn1_vm1_fixture.verify_on_setup() assert vn1_vm2_fixture.verify_on_setup() assert vn1_vm1_fixture.wait_till_vm_is_up() assert vn1_vm2_fixture.wait_till_vm_is_up() for i in range(0, 20): vm2_ipv6 = vn1_vm2_fixture.get_vm_ipv6_addr_from_vm() if vm2_ipv6 is not None: break if vm2_ipv6 is None: self.logger.error('Not able to get VM link local address') return False self.logger.info( 'Checking the communication between 2 VM using ping6 to VM link local address from other VM') assert vn1_vm1_fixture.ping_to_ipv6(vm2_ipv6.split("/")[0]) self.logger.info('Will restart compute services now') for compute_ip in self.inputs.compute_ips: self.inputs.restart_service('contrail-vrouter', [compute_ip]) sleep(10) self.logger.info( 'Verifying L2 route and other VM verification after restart') assert vn1_vm1_fixture.verify_on_setup(force=True) assert vn1_vm2_fixture.verify_on_setup(force=True) for i in range(0, 20): vm2_ipv6 = vn1_vm2_fixture.get_vm_ipv6_addr_from_vm() if vm2_ipv6 is not None: break if vm2_ipv6 is None: self.logger.error('Not able to get VM link local address') return False self.logger.info( 'Checking the communication between 2 VM after vrouter restart') self.tcpdump_start_on_all_compute() assert vn1_vm1_fixture.ping_to_ipv6( vm2_ipv6.split("/")[0], count='15') comp_vm2_ip = vn1_vm2_fixture.vm_node_ip if len(set(self.inputs.compute_ips)) >= 2: self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) return True # End test_epvn_with_agent_restart def verify_epvn_l2_mode(self, encap): '''Restart the vrouter service and verify the impact on L2 route ''' # Setting up default encapsulation self.logger.info('Setting new Encap before continuing') if (encap == 'gre'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoGRE', 'MPLSoUDP', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoGRE is the highest priority encap' % (config_id)) elif (encap == 'udp'): config_id = self.connections.update_vrouter_config_encap( 'MPLSoUDP', 'MPLSoGRE', 'VXLAN') self.logger.info( 'Created.UUID is %s. MPLSoUDP is the highest priority encap' % (config_id)) elif (encap == 'vxlan'): config_id = self.connections.update_vrouter_config_encap( 'VXLAN', 'MPLSoUDP', 'MPLSoGRE') self.logger.info( 'Created.UUID is %s. VXLAN is the highest priority encap' % (config_id)) result = True host_list = [] for host in self.inputs.compute_ips: host_list.append(self.inputs.host_data[host]['name']) compute_1 = host_list[0] compute_2 = host_list[0] if len(host_list) > 1: compute_1 = host_list[0] compute_2 = host_list[1] vn1_vm1 = '1001::1/64' vn1_vm2 = '1001::2/64' nova_fixture = self.res.nova_fixture vn3_fixture = self.res.vn3_fixture vn4_fixture = self.res.vn4_fixture vn_l2_vm1_name = self.res.vn_l2_vm1_name vn_l2_vm2_name = self.res.vn_l2_vm2_name vn3_name = self.res.vn3_name vn4_name = self.res.vn4_name vn3_subnets = self.res.vn3_subnets vn4_subnets = self.res.vn4_subnets vn_l2_vm1_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm1_name, node_name=compute_1)) vn_l2_vm2_fixture = self.useFixture(VMFixture(project_name=self.inputs.project_name, connections=self.connections, vn_objs=[ vn3_fixture.obj, vn4_fixture.obj], image_name='ubuntu', vm_name=vn_l2_vm2_name, node_name=compute_2)) assert vn3_fixture.verify_on_setup() assert vn4_fixture.verify_on_setup() assert vn_l2_vm1_fixture.verify_on_setup() assert vn_l2_vm2_fixture.verify_on_setup() # Wait till vm is up vn_l2_vm1_fixture.wait_till_vm_is_up() vn_l2_vm2_fixture.wait_till_vm_is_up() # Configured IPV6 address cmd_to_pass1 = ['ifconfig eth1 inet6 add %s' % (vn1_vm1)] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass1, as_sudo=True) cmd_to_pass2 = ['ifconfig eth1 inet6 add %s' % (vn1_vm2)] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass2, as_sudo=True) # Bring the intreface up forcefully cmd_to_pass3 = ['ifconfig eth1 1'] vn_l2_vm1_fixture.run_cmd_on_vm(cmds=cmd_to_pass3, as_sudo=True) cmd_to_pass4 = ['ifconfig eth1 1'] vn_l2_vm2_fixture.run_cmd_on_vm(cmds=cmd_to_pass4, as_sudo=True) sleep(30) vm1_ipv6 = vn_l2_vm1_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global') vm2_ipv6 = vn_l2_vm2_fixture.get_vm_ipv6_addr_from_vm( intf='eth1', addr_type='global') self.tcpdump_start_on_all_compute() assert vn_l2_vm1_fixture.ping_to_ipv6( vm2_ipv6.split("/")[0], count='15', intf='eth1') comp_vm2_ip = vn_l2_vm2_fixture.vm_node_ip if len(set(self.inputs.compute_ips)) >= 2: self.tcpdump_analyze_on_compute(comp_vm2_ip, encap.upper()) #self.logger.info('Will restart compute services now') # for compute_ip in self.inputs.compute_ips: # self.inputs.restart_service('contrail-vrouter',[compute_ip]) # sleep(10) # TODO #assert vn1_vm1_fixture.verify_on_setup() #assert vn1_vm2_fixture.verify_on_setup() #self.logger.info('Checking the communication between 2 VM after vrouter restart') #assert vn_l2_vm1_fixture.ping_to_ipv6(vm2_ipv6.split("/")[0]) return True # End verify_epvn_l2_mode
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py
Python
src/cone/firebase/testing/firebase_admin/credentials.py
conestack/cone.firebase
d7debd76240e3f50e50968b453987e7d7baf9c2d
[ "BSD-2-Clause" ]
null
null
null
src/cone/firebase/testing/firebase_admin/credentials.py
conestack/cone.firebase
d7debd76240e3f50e50968b453987e7d7baf9c2d
[ "BSD-2-Clause" ]
null
null
null
src/cone/firebase/testing/firebase_admin/credentials.py
conestack/cone.firebase
d7debd76240e3f50e50968b453987e7d7baf9c2d
[ "BSD-2-Clause" ]
1
2021-02-03T11:14:29.000Z
2021-02-03T11:14:29.000Z
class Certificate(object): def __init__(self, service_account_json): self.service_account_json = service_account_json
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py
Python
nova/tests/unit/scheduler/filters/test_affinity_filters.py
bopopescu/nova-token
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
[ "Apache-2.0" ]
null
null
null
nova/tests/unit/scheduler/filters/test_affinity_filters.py
bopopescu/nova-token
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
[ "Apache-2.0" ]
null
null
null
nova/tests/unit/scheduler/filters/test_affinity_filters.py
bopopescu/nova-token
ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2
[ "Apache-2.0" ]
2
2017-07-20T17:31:34.000Z
2020-07-24T02:42:19.000Z
begin_unit comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl|'\n' comment|'# not use this file except in compliance with the License. You may obtain' nl|'\n' comment|'# a copy of the License at' nl|'\n' comment|'#' nl|'\n' comment|'# http://www.apache.org/licenses/LICENSE-2.0' nl|'\n' comment|'#' nl|'\n' comment|'# Unless required by applicable law or agreed to in writing, software' nl|'\n' comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT' nl|'\n' comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the' nl|'\n' comment|'# License for the specific language governing permissions and limitations' nl|'\n' comment|'# under the License.' nl|'\n' nl|'\n' name|'import' name|'mock' newline|'\n' nl|'\n' name|'import' name|'nova' op|'.' name|'conf' newline|'\n' name|'from' name|'nova' name|'import' name|'objects' newline|'\n' name|'from' name|'nova' op|'.' name|'scheduler' op|'.' name|'filters' name|'import' name|'affinity_filter' newline|'\n' name|'from' name|'nova' name|'import' name|'test' newline|'\n' name|'from' name|'nova' op|'.' name|'tests' op|'.' name|'unit' op|'.' name|'scheduler' name|'import' name|'fakes' newline|'\n' nl|'\n' DECL|variable|CONF name|'CONF' op|'=' name|'nova' op|'.' name|'conf' op|'.' name|'CONF' newline|'\n' nl|'\n' nl|'\n' DECL|class|TestDifferentHostFilter name|'class' name|'TestDifferentHostFilter' op|'(' name|'test' op|'.' name|'NoDBTestCase' op|')' op|':' newline|'\n' nl|'\n' DECL|member|setUp indent|' ' name|'def' name|'setUp' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'super' op|'(' name|'TestDifferentHostFilter' op|',' name|'self' op|')' op|'.' name|'setUp' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'filt_cls' op|'=' name|'affinity_filter' op|'.' name|'DifferentHostFilter' op|'(' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_different_filter_passes dedent|'' name|'def' name|'test_affinity_different_filter_passes' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'inst1' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'uuid' op|'=' string|"'different'" op|')' newline|'\n' name|'host' op|'.' name|'instances' op|'=' op|'{' name|'inst1' op|'.' name|'uuid' op|':' name|'inst1' op|'}' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'dict' op|'(' name|'different_host' op|'=' op|'[' string|"'same'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_different_filter_fails dedent|'' name|'def' name|'test_affinity_different_filter_fails' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'inst1' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'uuid' op|'=' string|"'same'" op|')' newline|'\n' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'host' op|'.' name|'instances' op|'=' op|'{' name|'inst1' op|'.' name|'uuid' op|':' name|'inst1' op|'}' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'dict' op|'(' name|'different_host' op|'=' op|'[' string|"'same'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertFalse' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_different_filter_handles_none dedent|'' name|'def' name|'test_affinity_different_filter_handles_none' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'inst1' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'uuid' op|'=' string|"'same'" op|')' newline|'\n' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'host' op|'.' name|'instances' op|'=' op|'{' name|'inst1' op|'.' name|'uuid' op|':' name|'inst1' op|'}' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'None' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|class|TestSameHostFilter dedent|'' dedent|'' name|'class' name|'TestSameHostFilter' op|'(' name|'test' op|'.' name|'NoDBTestCase' op|')' op|':' newline|'\n' nl|'\n' DECL|member|setUp indent|' ' name|'def' name|'setUp' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'super' op|'(' name|'TestSameHostFilter' op|',' name|'self' op|')' op|'.' name|'setUp' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'filt_cls' op|'=' name|'affinity_filter' op|'.' name|'SameHostFilter' op|'(' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_same_filter_passes dedent|'' name|'def' name|'test_affinity_same_filter_passes' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'inst1' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'uuid' op|'=' string|"'same'" op|')' newline|'\n' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'host' op|'.' name|'instances' op|'=' op|'{' name|'inst1' op|'.' name|'uuid' op|':' name|'inst1' op|'}' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'dict' op|'(' name|'same_host' op|'=' op|'[' string|"'same'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_same_filter_no_list_passes dedent|'' name|'def' name|'test_affinity_same_filter_no_list_passes' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'host' op|'.' name|'instances' op|'=' op|'{' op|'}' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'dict' op|'(' name|'same_host' op|'=' op|'[' string|"'same'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertFalse' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_same_filter_fails dedent|'' name|'def' name|'test_affinity_same_filter_fails' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'inst1' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'uuid' op|'=' string|"'different'" op|')' newline|'\n' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'host' op|'.' name|'instances' op|'=' op|'{' name|'inst1' op|'.' name|'uuid' op|':' name|'inst1' op|'}' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'dict' op|'(' name|'same_host' op|'=' op|'[' string|"'same'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertFalse' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_same_filter_handles_none dedent|'' name|'def' name|'test_affinity_same_filter_handles_none' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'inst1' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'uuid' op|'=' string|"'different'" op|')' newline|'\n' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'host' op|'.' name|'instances' op|'=' op|'{' name|'inst1' op|'.' name|'uuid' op|':' name|'inst1' op|'}' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'None' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|class|TestSimpleCIDRAffinityFilter dedent|'' dedent|'' name|'class' name|'TestSimpleCIDRAffinityFilter' op|'(' name|'test' op|'.' name|'NoDBTestCase' op|')' op|':' newline|'\n' nl|'\n' DECL|member|setUp indent|' ' name|'def' name|'setUp' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'super' op|'(' name|'TestSimpleCIDRAffinityFilter' op|',' name|'self' op|')' op|'.' name|'setUp' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'filt_cls' op|'=' name|'affinity_filter' op|'.' name|'SimpleCIDRAffinityFilter' op|'(' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_simple_cidr_filter_passes dedent|'' name|'def' name|'test_affinity_simple_cidr_filter_passes' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'host' op|'.' name|'host_ip' op|'=' string|"'10.8.1.1'" newline|'\n' nl|'\n' name|'affinity_ip' op|'=' string|'"10.8.1.100"' newline|'\n' nl|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'dict' op|'(' nl|'\n' name|'cidr' op|'=' op|'[' string|"'/24'" op|']' op|',' nl|'\n' name|'build_near_host_ip' op|'=' op|'[' name|'affinity_ip' op|']' op|')' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_simple_cidr_filter_fails dedent|'' name|'def' name|'test_affinity_simple_cidr_filter_fails' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'host' op|'.' name|'host_ip' op|'=' string|"'10.8.1.1'" newline|'\n' nl|'\n' name|'affinity_ip' op|'=' string|'"10.8.1.100"' newline|'\n' nl|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'dict' op|'(' nl|'\n' name|'cidr' op|'=' op|'[' string|"'/32'" op|']' op|',' nl|'\n' name|'build_near_host_ip' op|'=' op|'[' name|'affinity_ip' op|']' op|')' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertFalse' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_affinity_simple_cidr_filter_handles_none dedent|'' name|'def' name|'test_affinity_simple_cidr_filter_handles_none' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' nl|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'context' op|'=' name|'mock' op|'.' name|'sentinel' op|'.' name|'ctx' op|',' nl|'\n' name|'scheduler_hints' op|'=' name|'None' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|class|TestGroupAffinityFilter dedent|'' dedent|'' name|'class' name|'TestGroupAffinityFilter' op|'(' name|'test' op|'.' name|'NoDBTestCase' op|')' op|':' newline|'\n' nl|'\n' DECL|member|_test_group_anti_affinity_filter_passes indent|' ' name|'def' name|'_test_group_anti_affinity_filter_passes' op|'(' name|'self' op|',' name|'filt_cls' op|',' name|'policy' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' name|'instance_group' op|'=' name|'None' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' name|'instance_group' op|'=' name|'objects' op|'.' name|'InstanceGroup' op|'(' nl|'\n' name|'policies' op|'=' op|'[' string|"'affinity'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' name|'instance_group' op|'=' name|'objects' op|'.' name|'InstanceGroup' op|'(' nl|'\n' name|'policies' op|'=' op|'[' name|'policy' op|']' op|')' op|')' newline|'\n' name|'spec_obj' op|'.' name|'instance_group' op|'.' name|'hosts' op|'=' op|'[' op|']' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' name|'spec_obj' op|'.' name|'instance_group' op|'.' name|'hosts' op|'=' op|'[' string|"'host2'" op|']' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_group_anti_affinity_filter_passes dedent|'' name|'def' name|'test_group_anti_affinity_filter_passes' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_test_group_anti_affinity_filter_passes' op|'(' nl|'\n' name|'affinity_filter' op|'.' name|'ServerGroupAntiAffinityFilter' op|'(' op|')' op|',' nl|'\n' string|"'anti-affinity'" op|')' newline|'\n' nl|'\n' DECL|member|_test_group_anti_affinity_filter_fails dedent|'' name|'def' name|'_test_group_anti_affinity_filter_fails' op|'(' name|'self' op|',' name|'filt_cls' op|',' name|'policy' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' name|'instance_group' op|'=' name|'objects' op|'.' name|'InstanceGroup' op|'(' nl|'\n' name|'policies' op|'=' op|'[' name|'policy' op|']' op|',' nl|'\n' name|'hosts' op|'=' op|'[' string|"'host1'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertFalse' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_group_anti_affinity_filter_fails dedent|'' name|'def' name|'test_group_anti_affinity_filter_fails' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_test_group_anti_affinity_filter_fails' op|'(' nl|'\n' name|'affinity_filter' op|'.' name|'ServerGroupAntiAffinityFilter' op|'(' op|')' op|',' nl|'\n' string|"'anti-affinity'" op|')' newline|'\n' nl|'\n' DECL|member|_test_group_affinity_filter_passes dedent|'' name|'def' name|'_test_group_affinity_filter_passes' op|'(' name|'self' op|',' name|'filt_cls' op|',' name|'policy' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' name|'instance_group' op|'=' name|'None' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' name|'instance_group' op|'=' name|'objects' op|'.' name|'InstanceGroup' op|'(' nl|'\n' name|'policies' op|'=' op|'[' string|"'anti-affinity'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' name|'instance_group' op|'=' name|'objects' op|'.' name|'InstanceGroup' op|'(' nl|'\n' name|'policies' op|'=' op|'[' string|"'affinity'" op|']' op|',' nl|'\n' name|'hosts' op|'=' op|'[' string|"'host1'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_group_affinity_filter_passes dedent|'' name|'def' name|'test_group_affinity_filter_passes' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_test_group_affinity_filter_passes' op|'(' nl|'\n' name|'affinity_filter' op|'.' name|'ServerGroupAffinityFilter' op|'(' op|')' op|',' string|"'affinity'" op|')' newline|'\n' nl|'\n' DECL|member|_test_group_affinity_filter_fails dedent|'' name|'def' name|'_test_group_affinity_filter_fails' op|'(' name|'self' op|',' name|'filt_cls' op|',' name|'policy' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' op|'{' op|'}' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' name|'instance_group' op|'=' name|'objects' op|'.' name|'InstanceGroup' op|'(' nl|'\n' name|'policies' op|'=' op|'[' name|'policy' op|']' op|',' nl|'\n' name|'hosts' op|'=' op|'[' string|"'host2'" op|']' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertFalse' op|'(' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_group_affinity_filter_fails dedent|'' name|'def' name|'test_group_affinity_filter_fails' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_test_group_affinity_filter_fails' op|'(' nl|'\n' name|'affinity_filter' op|'.' name|'ServerGroupAffinityFilter' op|'(' op|')' op|',' string|"'affinity'" op|')' newline|'\n' dedent|'' dedent|'' endmarker|'' end_unit
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8
e5b56f63609845820beb00e7032db2c71fdfa26d
4,489
py
Python
pygraphviz/tests/test_drawing.py
MridulS/pygraphviz
0796fb3d659b94338f38142115bd71ca323bacd6
[ "BSD-3-Clause" ]
602
2015-01-07T14:54:13.000Z
2022-03-29T08:38:05.000Z
pygraphviz/tests/test_drawing.py
MridulS/pygraphviz
0796fb3d659b94338f38142115bd71ca323bacd6
[ "BSD-3-Clause" ]
321
2015-01-04T14:53:07.000Z
2022-03-31T19:56:45.000Z
pygraphviz/tests/test_drawing.py
rossbar/pygraphviz
894a45b43aa8ec332758dc170f5a73cbef762a6e
[ "BSD-3-Clause" ]
212
2015-01-12T04:28:53.000Z
2022-03-05T07:28:33.000Z
from tempfile import TemporaryFile import pygraphviz as pgv import pytest def test_drawing_error(): with pytest.raises(AttributeError): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) d = A.draw() def test_name_error(): with pytest.raises(ValueError): A = pgv.AGraph(name="test graph") A.draw("foo", prog="foo") def test_drawing_no_error_with_no_layout(): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) d = A.draw(prog="nop") A.string_nop() def test_drawing_makes_file(): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) with TemporaryFile() as fh: A.draw(fh, format="png", prog="twopi") assert fh.tell() > 0 with TemporaryFile() as fh: A.draw(path=fh, prog="circo", format="png") assert fh.tell() > 0 def test_drawing_to_create_dot_string(): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) A.layout() dot_rep = A.to_string() assert "test graph" in dot_rep assert "strict graph" in dot_rep assert "pos" in dot_rep assert "height" in dot_rep assert "width" in dot_rep assert "1 -- 2" in dot_rep assert "2 -- 3" in dot_rep assert "3 -- 4" in dot_rep # unfortunately, the layout and dot outcomes vary # with system and graphviz version. One example is # shown here, the numbers can be very different. expected = """strict graph "test graph" { graph [bb="0,0,70.071,250.3"]; node [label="\\N"]; 1 [height=0.5, pos="27,18", width=0.75]; 2 [height=0.5, pos="43.071,88.469", width=0.75]; 1 -- 2 [pos="31.139,36.148 33.557,46.75 36.596,60.077 39.002,70.627"]; 3 [height=0.5, pos="41.467,160.69", width=0.75]; 2 -- 3 [pos="42.666,106.69 42.423,117.64 42.115,131.52 41.872,142.47"]; 4 [height=0.5, pos="32.966,232.3", width=0.75]; 3 -- 4 [pos="39.322,178.76 38.043,189.53 36.424,203.17 35.14,213.98"]; } """ # print("dot representation:", dot_rep) # assert expected == dot_rep class TestExperimentalGraphvizLibInterface: def test_drawing_error(self): with pytest.raises(AttributeError): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) d = A._draw() def test_name_error(self): with pytest.raises(ValueError): A = pgv.AGraph(name="test graph") A._draw("foo", prog="foo") def test_drawing_no_error_with_no_layout(self): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) d = A._draw(prog="nop") A.string_nop() def test_drawing_to_create_dot_string(self): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) A._layout() dot_rep = A.to_string() assert "test graph" in dot_rep assert "strict graph" in dot_rep assert "pos" in dot_rep assert "height" in dot_rep assert "width" in dot_rep assert "1 -- 2" in dot_rep assert "2 -- 3" in dot_rep assert "3 -- 4" in dot_rep # unfortunately, the layout and dot outcomes vary # with system and graphviz version. One example is # shown here, the numbers can be very different. expected = """strict graph "test graph" { graph [bb="0,0,70.071,250.3"]; node [label="\\N"]; 1 [height=0.5, pos="27,18", width=0.75]; 2 [height=0.5, pos="43.071,88.469", width=0.75]; 1 -- 2 [pos="31.139,36.148 33.557,46.75 36.596,60.077 39.002,70.627"]; 3 [height=0.5, pos="41.467,160.69", width=0.75]; 2 -- 3 [pos="42.666,106.69 42.423,117.64 42.115,131.52 41.872,142.47"]; 4 [height=0.5, pos="32.966,232.3", width=0.75]; 3 -- 4 [pos="39.322,178.76 38.043,189.53 36.424,203.17 35.14,213.98"]; } """ # print("dot representation:", dot_rep) # assert expected == dot_rep def test_drawing_makes_file(self): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) with TemporaryFile() as fh: A._draw(fh, format="png", prog="twopi") assert fh.tell() > 0 def test_drawing_makes_file1(self): A = pgv.AGraph(name="test graph") A.add_path([1, 2, 3, 4]) with TemporaryFile() as fh: A._draw(path=fh, prog="circo", format="png") assert fh.tell() > 0
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7
e5b5947eb26a3ba70d2d28ea3664b1eeb28cdc7d
223
py
Python
molecules/ml/unsupervised/__init__.py
yngtodd/molecules
b16281ae3eda64891f603d23472092051c2bc244
[ "MIT" ]
2
2020-03-16T07:47:42.000Z
2021-05-12T11:39:51.000Z
molecules/ml/unsupervised/__init__.py
yngtodd/molecules
b16281ae3eda64891f603d23472092051c2bc244
[ "MIT" ]
55
2018-02-10T23:22:15.000Z
2019-12-22T23:11:13.000Z
molecules/ml/unsupervised/__init__.py
yngtodd/molecules
b16281ae3eda64891f603d23472092051c2bc244
[ "MIT" ]
4
2018-08-06T19:49:35.000Z
2020-06-03T02:07:42.000Z
from .vae import VAE from .conv_vae.encoder import EncoderConvolution2D from .conv_vae.decoder import DecoderConvolution2D from .conv_vae.encoder import HyperparamsEncoder from .conv_vae.decoder import HyperparamsDecoder
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7
e5bc73f480222632a55f957d221771a337d43d57
864
py
Python
src/Test/transpose_test_2.py
hgl71964/PET
4cedb25c5dce0c49eebb693125235fc4ad1e26f8
[ "Apache-2.0" ]
69
2021-06-01T03:19:12.000Z
2022-03-26T00:14:20.000Z
src/Test/transpose_test_2.py
hgl71964/PET
4cedb25c5dce0c49eebb693125235fc4ad1e26f8
[ "Apache-2.0" ]
null
null
null
src/Test/transpose_test_2.py
hgl71964/PET
4cedb25c5dce0c49eebb693125235fc4ad1e26f8
[ "Apache-2.0" ]
4
2021-07-10T07:21:11.000Z
2022-02-06T18:56:56.000Z
import tensorflow as tf import numpy as np def h_d2_d1(i0): # i0 = tf.reshape([i for i in range(8*8)], [1,1,8,8]) i1 = tf.reshape(i0, [1,1,4,2,8]) i2 = tf.transpose(i1, [0,1,3,2,4]) i3 = tf.reshape(i2, [1,1,8,8]) return i3 def h_d1_d2(i0): # i0 = h_d2_d1(tf.reshape([i for i in range(8*8)], [1,1,8,8])) i1 = tf.reshape(i0, [1,1,2,4,8]) i2 = tf.transpose(i1, [0,1,3,2,4]) i3 = tf.reshape(i2, [1,1,8,8]) return i3 def nd2_hm2(i0): # i0 = tf.reshape([i for i in range(2*4*4)], [2,1,4,4]) i1 = tf.reshape(i0, [1,2,1,4,4]) i2 = tf.transpose(i1, [0,2,1,3,4]) i3 = tf.reshape(i2, [1,1,8,4]) return i3 def nm2_hd2(i0): # i0 = nd2_hm2(tf.reshape([i for i in range(2*4*4)], [2,1,4,4])) i1 = tf.reshape(i0, [1,1,2,4,4]) i2 = tf.transpose(i1, [0,2,1,3,4]) i3 = tf.reshape(i2, [2,1,4,4]) return i3
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7
e5db0838e2fabf2cd3449d5f1d0236923e30c082
65,073
py
Python
databrowse/plugins/db_dataguzzler_data_file/db_dataguzzler_data_file.py
limatix/Databrowse
af33bc6cca930e59acc3762beeec2409d8fd8634
[ "BSD-3-Clause" ]
3
2016-09-20T07:04:09.000Z
2018-07-17T17:31:21.000Z
databrowse/plugins/db_dataguzzler_data_file/db_dataguzzler_data_file.py
limatix/Databrowse
af33bc6cca930e59acc3762beeec2409d8fd8634
[ "BSD-3-Clause" ]
19
2016-10-25T07:05:28.000Z
2018-08-07T23:18:16.000Z
databrowse/plugins/db_dataguzzler_data_file/db_dataguzzler_data_file.py
limatix/Databrowse
af33bc6cca930e59acc3762beeec2409d8fd8634
[ "BSD-3-Clause" ]
2
2016-10-28T00:12:42.000Z
2016-10-28T00:18:03.000Z
#!/usr/bin/env python ############################################################################### ## Databrowse: An Extensible Data Management Platform ## ## Copyright (C) 2012-2016 Iowa State University Research Foundation, Inc. ## ## All rights reserved. ## ## ## ## Redistribution and use in source and binary forms, with or without ## ## modification, are permitted provided that the following conditions are ## ## met: ## ## 1. Redistributions of source code must retain the above copyright ## ## notice, this list of conditions and the following disclaimer. ## ## 2. Redistributions in binary form must reproduce the above copyright ## ## notice, this list of conditions and the following disclaimer in the ## ## documentation and/or other materials provided with the distribution. ## ## 3. Neither the name of the copyright holder nor the names of its ## ## contributors may be used to endorse or promote products derived from ## ## this software without specific prior written permission. ## ## THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ## ## "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED ## ## TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A ## ## PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER ## ## OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, ## ## EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, ## ## PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR ## ## PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF ## ## LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING ## ## NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS ## ## SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ## ## ## ## This material is based on work supported by the Air Force Research ## ## Laboratory under Contract #FA8650-10-D-5210, Task Order #023 and ## ## performed at Iowa State University. ## ## ## ## DISTRIBUTION A. Approved for public release: distribution unlimited; ## ## 19 Aug 2016; 88ABW-2016-4051. ## ## ## ## This material is based on work supported by NASA under Contract ## ## NNX16CL31C and performed by Iowa State University as a subcontractor ## ## to TRI Austin. ## ## ## ## Approved for public release by TRI Austin: distribution unlimited; ## ## 01 June 2018; by Carl W. Magnuson (NDE Division Director). ## ############################################################################### """ plugins/renderers/db_dataguzzler.py - Default Renderer - Basic Output for Any Dataguzzler File """ import os import os.path import platform from lxml import etree from databrowse.support.renderer_support import renderer_class import magic import dg_file as dgf import dg_eval as dge import dg_metadata as dgm import struct from scipy import io as sio import numpy import tempfile import subprocess from PIL import Image import matplotlib BACKEND = 'Agg' if matplotlib.get_backend().lower() != BACKEND.lower(): matplotlib.use(BACKEND) import matplotlib.pyplot as plt # These definitions should be synchronized with dg_dumpfile within dataguzzler dgf_nestedchunks = set(["DATAGUZZ", "GUZZNWFM", "GUZZWFMD", "METADATA", "METDATUM", "SNAPSHOT", "SNAPSHTS", "VIBRDATA", "VIBFCETS", "VIBFACET"]) dgf_stringchunks = set(["WAVENAME", "METDNAME", "METDSTRV"]) dgf_int64chunks = set(["METDINTV"]) dgf_float64chunks = set(["METDDBLV"]) class db_dataguzzler_data_file(renderer_class): """ Default Renderer - Basic Output for Any Dataguzzler File """ _namespace_uri = "http://thermal.cnde.iastate.edu/dataguzzler" _namespace_local = "dg" _default_content_mode = "full" _default_style_mode = "examine_file_contents" _default_recursion_depth = 2 def dumpxmlchunk(self, dgfh, nestdepth=-1): ellist = [] Chunk = dgf.nextchunk(dgfh) while Chunk: newel = etree.Element("{%s}%s" % (self._namespace_uri, Chunk.Name), nsmap=self.nsmap) if (Chunk.Name in dgf_nestedchunks): if nestdepth > 0: nestedchunks = self.dumpxmlchunk(dgfh, nestdepth-1) for nestedchunk in nestedchunks: newel.append(nestedchunk) pass pass else: nestedchunks = self.dumpxmlchunk(dgfh, -1) for nestedchunk in nestedchunks: newel.append(nestedchunk) pass pass pass elif Chunk.Name in dgf_stringchunks: newel.text = dgf.readdata(dgfh, Chunk.ChunkLen) pass elif Chunk.Name in dgf_int64chunks: textdata = "" for cnt in range(Chunk.ChunkLen/8): textdata += "%d\n" % (struct.unpack("@Q", dgf.readdata(dgfh, 8))) pass newel.text = textdata pass elif Chunk.Name in dgf_float64chunks: textdata = "" for cnt in range(Chunk.ChunkLen/8): textdata += "%.10g\n" % (struct.unpack("@d", dgf.readdata(dgfh, 8))) pass newel.text = textdata pass elif Chunk.Name == "WFMDIMNS": length = struct.unpack("@Q", dgf.readdata(dgfh, 8))[0] ndim = struct.unpack("@Q", dgf.readdata(dgfh, 8))[0] dimlen = numpy.zeros((ndim), dtype='Q') for dimcnt in range(ndim): dimlen[dimcnt] = struct.unpack("@Q", dgf.readdata(dgfh, 8))[0] newel.text = str(length) + "\n" + str(ndim) + "\n" + "\n".join(str(dimcnt) for dimcnt in dimlen) + "\n" if ndim == 1 and dimlen[0] == 1: dgf.chunkdone(dgfh, None) ellist.append(newel) Chunk = dgf.nextchunk(dgfh) if Chunk.Name in ["DATARRYF", "DATARRYD"]: newel = etree.Element("{%s}%s" % (self._namespace_uri, "DATASVAL"), nsmap=self.nsmap) if Chunk.Name == "DATARRYF": dtype = 'f' dsize = 4 elif Chunk.Name == "DATARRYD": dtype = 'd' dsize = 8 data = numpy.fromstring(dgf.readdata(dgfh, dsize*long(length)), dtype=dtype).reshape(dimlen, order='F') newel.text = str(data[0]) else: pass else: newel.text = "%s\n" % (self.ConvertUserFriendlySize(Chunk.ChunkLen)) pass dgf.chunkdone(dgfh, None) Chunk = dgf.nextchunk(dgfh) ellist.append(newel) pass return ellist def GetDataguzzlerWaveformDgzFile(self): # Get Handle to Dataguzzler File and Open First Chunk dgfh = dgf.open(self._fullpath) chunk = dgf.nextchunk(dgfh) waveformname = "" # Next, Let's figure Out What Kind of File we Have if chunk.Name in ["SNAPSHTS", "SNAPSHOT"]: # Look for Environment if not "snapshot" in self._web_support.req.form: snapshotnumber = 1 else: snapshotnumber = int(self._web_support.req.form['snapshot'].value) if not "waveform" in self._web_support.req.form: raise self.RendererException("Waveform Name Must Be Specified") else: waveformname = self._web_support.req.form['waveform'].value if chunk.Name == "SNAPSHTS": # application/x-dataguzzler-data (dgd) # Prep Loop count = 0 # Loop till we find the Correct Snapshot Number while count != snapshotnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "SNAPSHOT": count = count + 1 if count == snapshotnumber: break else: dgf.chunkdone(dgfh, chunk) pass pass elif chunk.Name == "SNAPSHOT": # application/x-dataguzzler-snapshot (dgs) # Make sure we weren't expecting SNAPSHTS if "snapshot" in self._web_support.req.form and int(self._web_support.req.form['snapshot'].value) != 1: raise self.RendererException("Looking for SNAPSHTS but found SNAPSHOT") pass # Load Waveform filename = "SNAPSHOT"+str(snapshotnumber)+"_"+waveformname mdata, wfms, wfmdict = dgf.procSNAPSHOT(dgfh, memmapok=True) waveform = wfmdict[waveformname] # Add Simple Offsets if "IRstack" in wfmdict and wfmdict["IRstack"].data.size > 1: mean = wfmdict['IRstack'].data[:, :, 0].mean(dtype=numpy.float64) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(mean))) if "DiffStack" in wfmdict and wfmdict["DiffStack"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) if "VibroFit" in wfmdict and wfmdict["VibroFit"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) if "VibroFitImg" in wfmdict and wfmdict["VibroFitImg"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) # Evaluate Processing Instructions, If Needed if "ProcExpr" in waveform.MetaData: (ndim, dimlen, inival, step, bases) = dge.geom(waveform) inivalstepdimlen = [] for i in range(ndim): inivalstepdimlen.append(inival[i]) inivalstepdimlen.append(step[i]) inivalstepdimlen.append(dimlen[i]) waveform = dge.eval(waveform, wfmdict, ndim, *inivalstepdimlen, rgba=False) elif chunk.Name == "GUZZWFMD": # either application/x-dataguzzler-waveform (dgz) or application/x-dataguzzler-array (dga) # Look for Environment and Prep Loop if not "waveform" in self._web_support.req.form: waveformnumber = 1 else: waveformnumber = int(self._web_support.req.form['waveform'].value) count = 1 # Loop, if needed, to find correct Waveform if count != waveformnumber: dgf.chunkdone(dgfh, chunk) while count != waveformnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "GUZZWFMD": count = count + 1 if count == waveformnumber: break else: dgf.chunkdone(dgfh, chunk) pass # Load Waveform filename = "WAVEFORM"+str(waveformnumber) waveform = dgf.procGUZZWFMD(dgfh, None) waveformname = "Unnamed Waveform " + str(waveformnumber) pass else: raise self.RendererException("Unexpected " + chunk.Name + " Chunk Found") # Finish and Save outputfile = self.getCacheFileName(filename, 'dgz') outfile = dgf.creat(outputfile) if (not outfile): raise self.RendererException("Error: could not open \"%s\" for write" % outputfile) dgf.writewfm(outfile, waveform) dgf.close(outfile) dgf.rewind(dgfh) dgf.close(dgfh) size = os.path.getsize(self.getCacheFileName(filename, 'dgz')) return (self.getCacheFileHandler('rb', filename, 'dgz'), size) def GetDataguzzlerWaveformCsvFile(self): # Get Handle to Dataguzzler File and Open First Chunk dgfh = dgf.open(self._fullpath) chunk = dgf.nextchunk(dgfh) waveformname = "" # Next, Let's figure Out What Kind of File we Have if chunk.Name in ["SNAPSHTS", "SNAPSHOT"]: # Look for Environment if not "snapshot" in self._web_support.req.form: snapshotnumber = 1 else: snapshotnumber = int(self._web_support.req.form['snapshot'].value) if not "waveform" in self._web_support.req.form: raise self.RendererException("Waveform Name Must Be Specified") else: waveformname = self._web_support.req.form['waveform'].value if chunk.Name == "SNAPSHTS": # application/x-dataguzzler-data (dgd) # Prep Loop count = 0 # Loop till we find the Correct Snapshot Number while count != snapshotnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "SNAPSHOT": count = count + 1 if count == snapshotnumber: break else: dgf.chunkdone(dgfh, chunk) pass pass elif chunk.Name == "SNAPSHOT": # application/x-dataguzzler-snapshot (dgs) # Make sure we weren't expecting SNAPSHTS if "snapshot" in self._web_support.req.form and int(self._web_support.req.form['snapshot'].value) != 1: raise self.RendererException("Looking for SNAPSHTS but found SNAPSHOT") pass # Load Waveform filename = "SNAPSHOT"+str(snapshotnumber)+"_"+waveformname mdata, wfms, wfmdict = dgf.procSNAPSHOT(dgfh, memmapok=True) waveform = wfmdict[waveformname] # Add Simple Offsets if "IRstack" in wfmdict and wfmdict["IRstack"].data.size > 1: mean = wfmdict['IRstack'].data[:, :, 0].mean(dtype=numpy.float64) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(mean))) if "DiffStack" in wfmdict and wfmdict["DiffStack"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) if "VibroFit" in wfmdict and wfmdict["VibroFit"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) if "VibroFitImg" in wfmdict and wfmdict["VibroFitImg"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) # Evaluate Processing Instructions, If Needed if "ProcExpr" in waveform.MetaData: (ndim, dimlen, inival, step, bases) = dge.geom(waveform) inivalstepdimlen = [] for i in range(ndim): inivalstepdimlen.append(inival[i]) inivalstepdimlen.append(step[i]) inivalstepdimlen.append(dimlen[i]) waveform = dge.eval(waveform, wfmdict, ndim, *inivalstepdimlen, rgba=False) elif chunk.Name == "GUZZWFMD": # either application/x-dataguzzler-waveform (dgz) or application/x-dataguzzler-array (dga) # Look for Environment and Prep Loop if not "waveform" in self._web_support.req.form: waveformnumber = 1 else: waveformnumber = int(self._web_support.req.form['waveform'].value) count = 1 # Loop, if needed, to find correct Waveform if count != waveformnumber: dgf.chunkdone(dgfh, chunk) while count != waveformnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "GUZZWFMD": count = count + 1 if count == waveformnumber: break else: dgf.chunkdone(dgfh, chunk) pass # Load Waveform filename = "WAVEFORM"+str(waveformnumber) waveform = dgf.procGUZZWFMD(dgfh, None) waveformname = "Unnamed Waveform " + str(waveformnumber) pass else: raise self.RendererException("Unexpected " + chunk.Name + " Chunk Found") # Finish and Save f = self.getCacheFileHandler('wb', filename, 'csv') numpy.savetxt(f, waveform.data, delimiter=",") f.close() dgf.rewind(dgfh) dgf.close(dgfh) size = os.path.getsize(self.getCacheFileName(filename, 'csv')) return (self.getCacheFileHandler('rb', filename, 'csv'), size) def GetDataguzzlerWaveformMatFile(self): # Get Handle to Dataguzzler File and Open First Chunk dgfh = dgf.open(self._fullpath) chunk = dgf.nextchunk(dgfh) waveformname = "" # Next, Let's figure Out What Kind of File we Have if chunk.Name in ["SNAPSHTS", "SNAPSHOT"]: # Look for Environment if not "snapshot" in self._web_support.req.form: snapshotnumber = 1 else: snapshotnumber = int(self._web_support.req.form['snapshot'].value) if not "waveform" in self._web_support.req.form: raise self.RendererException("Waveform Name Must Be Specified") else: waveformname = self._web_support.req.form['waveform'].value if chunk.Name == "SNAPSHTS": # application/x-dataguzzler-data (dgd) # Prep Loop count = 0 # Loop till we find the Correct Snapshot Number while count != snapshotnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "SNAPSHOT": count = count + 1 if count == snapshotnumber: break else: dgf.chunkdone(dgfh, chunk) pass pass elif chunk.Name == "SNAPSHOT": # application/x-dataguzzler-snapshot (dgs) # Make sure we weren't expecting SNAPSHTS if "snapshot" in self._web_support.req.form and int(self._web_support.req.form['snapshot'].value) != 1: raise self.RendererException("Looking for SNAPSHTS but found SNAPSHOT") pass # Load Waveform filename = "SNAPSHOT"+str(snapshotnumber)+"_"+waveformname mdata, wfms, wfmdict = dgf.procSNAPSHOT(dgfh, memmapok=True) waveform = wfmdict[waveformname] # Add Simple Offsets if "IRstack" in wfmdict and wfmdict["IRstack"].data.size > 1: mean = wfmdict['IRstack'].data[:, :, 0].mean(dtype=numpy.float64) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(mean))) if "DiffStack" in wfmdict and wfmdict["DiffStack"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) if "VibroFit" in wfmdict and wfmdict["VibroFit"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) if "VibroFitImg" in wfmdict and wfmdict["VibroFitImg"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) # Evaluate Processing Instructions, If Needed if "ProcExpr" in waveform.MetaData: (ndim, dimlen, inival, step, bases) = dge.geom(waveform) inivalstepdimlen = [] for i in range(ndim): inivalstepdimlen.append(inival[i]) inivalstepdimlen.append(step[i]) inivalstepdimlen.append(dimlen[i]) waveform = dge.eval(waveform, wfmdict, ndim, *inivalstepdimlen, rgba=False) elif chunk.Name == "GUZZWFMD": # either application/x-dataguzzler-waveform (dgz) or application/x-dataguzzler-array (dga) # Look for Environment and Prep Loop if not "waveform" in self._web_support.req.form: waveformnumber = 1 else: waveformnumber = int(self._web_support.req.form['waveform'].value) count = 1 # Loop, if needed, to find correct Waveform if count != waveformnumber: dgf.chunkdone(dgfh, chunk) while count != waveformnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "GUZZWFMD": count = count + 1 if count == waveformnumber: break else: dgf.chunkdone(dgfh, chunk) pass # Load Waveform filename = "WAVEFORM"+str(waveformnumber) waveform = dgf.procGUZZWFMD(dgfh, None) waveformname = "Unnamed Waveform " + str(waveformnumber) pass else: raise self.RendererException("Unexpected " + chunk.Name + " Chunk Found") # Finish and Save f = self.getCacheFileHandler('wb', filename, 'mat') sio.savemat(f, {'waveform': waveform}) f.close() dgf.rewind(dgfh) dgf.close(dgfh) size = os.path.getsize(self.getCacheFileName(filename, 'mat')) return (self.getCacheFileHandler('rb', filename, 'mat'), size) def GetDataguzzlerWaveformVideo(self): # Get Handle to Dataguzzler File and Open First Chunk dgfh = dgf.open(self._fullpath) chunk = dgf.nextchunk(dgfh) waveformname = "" rgbawaveform = None # Next, Let's figure Out What Kind of File we Have if chunk.Name in ["SNAPSHTS", "SNAPSHOT"]: # Look for Environment if not "snapshot" in self._web_support.req.form: snapshotnumber = 1 else: snapshotnumber = int(self._web_support.req.form['snapshot'].value) if not "waveform" in self._web_support.req.form: raise self.RendererException("Waveform Name Must Be Specified") else: waveformname = self._web_support.req.form['waveform'].value if chunk.Name == "SNAPSHTS": # application/x-dataguzzler-data (dgd) # Prep Loop count = 0 # Loop till we find the Correct Snapshot Number while count != snapshotnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "SNAPSHOT": count = count + 1 if count == snapshotnumber: break else: dgf.chunkdone(dgfh, chunk) pass pass elif chunk.Name == "SNAPSHOT": # application/x-dataguzzler-snapshot (dgs) # Make sure we weren't expecting SNAPSHTS if "snapshot" in self._web_support.req.form and int(self._web_support.req.form['snapshot'].value) != 1: raise self.RendererException("Looking for SNAPSHTS but found SNAPSHOT") pass # Load Waveform filename = "SNAPSHOT"+str(snapshotnumber)+"_"+waveformname mdata, wfms, wfmdict = dgf.procSNAPSHOT(dgfh, memmapok=True) waveform = wfmdict[waveformname] # Add Simple Offsets if "IRstack" in wfmdict and wfmdict["IRstack"].data.size > 1: mean = wfmdict['IRstack'].data[:, :, 0].mean(dtype=numpy.float64) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(mean))) if "DiffStack" in wfmdict and wfmdict["DiffStack"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) if "VibroFit" in wfmdict and wfmdict["VibroFit"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) if "VibroFitImg" in wfmdict and wfmdict["VibroFitImg"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeOffset", float(1))) # Evaluate Processing Instructions, If Needed if "ProcExpr" in waveform.MetaData: (ndim, dimlen, inival, step, bases) = dge.geom(waveform) inivalstepdimlen = [] for i in range(ndim): inivalstepdimlen.append(inival[i]) inivalstepdimlen.append(step[i]) inivalstepdimlen.append(dimlen[i]) waveform = dge.eval(waveform, wfmdict, ndim, *inivalstepdimlen, rgba=False) rgbawaveform = None if "ProcRGBA" in wfmdict[waveformname].MetaData: (ndim, dimlen, inival, step, bases) = dge.geom(wfmdict[waveformname]) inivalstepdimlen = [] for i in range(ndim): inivalstepdimlen.append(inival[i]) inivalstepdimlen.append(step[i]) inivalstepdimlen.append(dimlen[i]) rgbawaveform = dge.eval(wfmdict[waveformname], wfmdict, ndim, *inivalstepdimlen, rgba=True) elif chunk.Name == "GUZZWFMD": # either application/x-dataguzzler-waveform (dgz) or application/x-dataguzzler-array (dga) # Look for Environment and Prep Loop if not "waveform" in self._web_support.req.form: waveformnumber = 1 else: waveformnumber = int(self._web_support.req.form['waveform'].value) count = 1 # Loop, if needed, to find correct Waveform if count != waveformnumber: dgf.chunkdone(dgfh, chunk) while count != waveformnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "GUZZWFMD": count = count + 1 if count == waveformnumber: break else: dgf.chunkdone(dgfh, chunk) pass # Load Waveform filename = "WAVEFORM"+str(waveformnumber) waveform = dgf.procGUZZWFMD(dgfh, None) waveformname = "Unnamed Waveform " + str(waveformnumber) pass else: raise self.RendererException("Unexpected " + chunk.Name + " Chunk Found") # We're Ready to Start Plotting # Gather Dimensions (ndim, dimlen, inival, step, bases) = dge.geom(waveform) coord = [] units = [] for i in range(ndim): try: coord.append(waveform.MetaData['ProcCoord' + str(i+1)].Value if ("ProcCoord" + str(i+1)) in waveform.MetaData else waveform.MetaData['Coord' + str(i+1)].Value) units.append(waveform.MetaData['ProcUnits' + str(i+1)].Value if ("ProcUnits" + str(i+1)) in waveform.MetaData else waveform.MetaData['Units' + str(i+1)].Value) except: pass try: coord.append(waveform.MetaData['ProcAmplCoord'].Value if "ProcAmplCoord" in waveform.MetaData else waveform.MetaData['AmplCoord'].Value) units.append(waveform.MetaData['ProcAmplUnits'].Value if "ProcAmplUnits" in waveform.MetaData else waveform.MetaData['AmplUnits'].Value) except: pass # Set Colormap if waveformname == "VibroFitImg": cmap = 'hsv' else: cmap = 'hot' filelist = [] # Verify Correct Number of Dimensions if len(waveform.data.shape) == 3: # 3D Waveforms tmpdir = tempfile.mkdtemp("", "db_dataguzzler_video") loop = range(dimlen[2]) extent = [inival[0], waveform.data.shape[0] * step[0] + inival[0], inival[1], waveform.data.shape[1] * step[1] + inival[1]] vmin = waveform.data.min() vmax = waveform.data.max() for framenumber in loop: imagefilename = filename + "_%5.5d" % framenumber if "Coord3" in waveform.MetaData: t = numpy.arange(0, waveform.data.shape[2], dtype='d') * step[2] + inival[2] title = waveformname + " (" + coord[2] + ": " + str(t[framenumber]) + " " + units[2] + ")" else: title = waveformname + " (Frame " + str(framenumber) + ")" plt.imshow(waveform.data[:, :, framenumber].T, cmap=cmap, origin='lower', extent=extent, vmin=vmin, vmax=vmax) cb = plt.colorbar() cb.set_label(coord[-1] + " (" + units[-1] + ")") if rgbawaveform is not None: RGBAdat = rgbawaveform.data[:, :, framenumber].transpose().tostring() sz = len(RGBAdat) RGBAmat = numpy.fromstring(RGBAdat, 'B').reshape(sz/4, 4) RGBAmat2 = RGBAmat.copy() RGBAmat2[:, 0] = RGBAmat[:, 3] RGBAmat2[:, 1] = RGBAmat[:, 2] RGBAmat2[:, 2] = RGBAmat[:, 1] RGBAmat2[:, 3] = RGBAmat[:, 0] plt.imshow(Image.fromstring("RGBA", (rgbawaveform.data.shape[0], rgbawaveform.data.shape[1]), RGBAmat2.tostring()), origin='lower', extent=extent) plt.title(title) plt.xlabel(coord[0] + " (" + units[0] + ")") plt.ylabel(coord[1] + " (" + units[1] + ")") plt.savefig(os.path.join(tmpdir, imagefilename + '.png')) filelist.append(os.path.join(tmpdir, imagefilename + '.png')) plt.clf() else: raise self.RendererException("Only Three Dimensional Waveforms May Be Converted To Video") # Finish and Save dgf.rewind(dgfh) dgf.close(dgfh) cachefile = self.getCacheFileName(filename, 'avi') if dimlen[2] > 10: fps = 1.0/float(step[2])*0.1 else: fps = float(1.0) #myproc = subprocess.Popen("/usr/local/bin/mencoder -fps %g -ovc lavc -lavcopts vcodec=ljpeg mf://%s/*.png -o %s" % (fps, tmpdir, os.path.join(tmpdir, filename+'.avi'))) myproc = subprocess.Popen(("/usr/local/bin/mencoder", "-fps", "%g" % fps, "-ovc", "lavc", "-lavcopts", "vcodec=ljpeg", "mf://%s/*.png" % tmpdir, "-o", "%s" % os.path.join(tmpdir, filename+'.avi'))) os.waitpid(myproc.pid, 0) filelist.append(os.path.join(tmpdir, filename + '.avi')) myproc = subprocess.Popen(("/usr/local/bin/ffmpeg", "-i", "%s" % os.path.join(tmpdir, filename+'.avi'), "-vcodec", "mjpeg", "-r", "%g" % fps, "-b", "%dk" % 2000, "-y", "%s" % cachefile)) os.waitpid(myproc.pid, 0) for name in filelist: os.remove(name) os.rmdir(tmpdir) size = os.path.getsize(self.getCacheFileName(filename, 'avi')) return (self.getCacheFileHandler('rb', filename, 'avi'), size) def GetDataguzzlerWaveformImage(self): # Get Handle to Dataguzzler File and Open First Chunk dgfh = dgf.open(self._fullpath) chunk = dgf.nextchunk(dgfh) waveformname = "" rgbawaveform = None # Next, Let's figure Out What Kind of File we Have if chunk.Name in ["SNAPSHTS", "SNAPSHOT"]: # Look for Environment if not "snapshot" in self._web_support.req.form: snapshotnumber = 1 else: snapshotnumber = int(self._web_support.req.form['snapshot'].value) if not "waveform" in self._web_support.req.form: raise self.RendererException("Waveform Name Must Be Specified") else: waveformname = self._web_support.req.form['waveform'].value if chunk.Name == "SNAPSHTS": # application/x-dataguzzler-data (dgd) # Prep Loop count = 0 # Loop till we find the Correct Snapshot Number while count != snapshotnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "SNAPSHOT": count = count + 1 if count == snapshotnumber: break else: dgf.chunkdone(dgfh, chunk) pass pass elif chunk.Name == "SNAPSHOT": # application/x-dataguzzler-snapshot (dgs) # Make sure we weren't expecting SNAPSHTS if "snapshot" in self._web_support.req.form and int(self._web_support.req.form['snapshot'].value) != 1: raise self.RendererException("Looking for SNAPSHTS but found SNAPSHOT") pass # Load Waveform filename = "SNAPSHOT"+str(snapshotnumber)+"_"+waveformname mdata, wfms, wfmdict = dgf.procSNAPSHOT(dgfh, memmapok=True) waveform = wfmdict[waveformname] (ndim, dimlen, inival, step, bases) = dge.geom(waveform) ROIX1=dgm.GetMetaDatumWIDbl(waveform,"ROIX1",-1e12) ROIX2=dgm.GetMetaDatumWIDbl(waveform,"ROIX2",1e12) ROIY1=dgm.GetMetaDatumWIDbl(waveform,"ROIY1",-1e12) ROIY2=dgm.GetMetaDatumWIDbl(waveform,"ROIY2",1e12) if ROIX1 != -1e12 and ROIX2 != 1e12 and ROIY1 != -1e12 and ROIY2 != 1e12: ROICOORDX1 = int((ROIX1 - inival[0]) * (1/step[0])) ROICOORDX2 = int((ROIX2 - inival[0]) * (1/step[0])) ROICOORDY1 = int((ROIY1 - inival[1]) * (1/step[1])) ROICOORDY2 = int((ROIY2 - inival[1]) * (1/step[1])) if ROICOORDY1 < ROICOORDY2: ROICOORDY1 = int((ROIY2 - inival[1]) * (1/step[1])) ROICOORDY2 = int((ROIY1 - inival[1]) * (1/step[1])) else: ROICOORDX1 = None ROICOORDX2 = None ROICOORDY1 = None ROICOORDY2 = None # Add Simple Offsets if "IRstack" in wfmdict and wfmdict["IRstack"].data.size > 1: if ROICOORDX1 is not None and ROICOORDX2 is not None and ROICOORDY1 is not None and ROICOORDY2 is not None: mean = wfmdict['IRstack'].data[ROICOORDX1:ROICOORDX2, ROICOORDY2:ROICOORDY1, 0].mean(dtype=numpy.float64) else: mean = wfmdict['IRstack'].data[:, :, 0].mean(dtype=numpy.float64) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['IRstack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(mean))) if "DiffStack" in wfmdict and wfmdict["IRstack"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(1))) dgm.AddMetaDatumWI(wfmdict['DiffStack'], dgm.CreateMetaDatumDbl("ScopeOffset", float(0.5))) if "VibroFit" in wfmdict and wfmdict["IRstack"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(1))) dgm.AddMetaDatumWI(wfmdict['VibroFit'], dgm.CreateMetaDatumDbl("ScopeOffset", float(0))) if "VibroFitImg" in wfmdict and wfmdict["IRstack"].data.size > 1: dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeUnitsPerDiv", float(2))) dgm.AddMetaDatumWI(wfmdict['VibroFitImg'], dgm.CreateMetaDatumDbl("ScopeOffset", float(0))) # Evaluate Processing Instructions, If Needed if "ProcExpr" in waveform.MetaData: (ndim, dimlen, inival, step, bases) = dge.geom(waveform) inivalstepdimlen = [] for i in range(ndim): inivalstepdimlen.append(inival[i]) inivalstepdimlen.append(step[i]) inivalstepdimlen.append(dimlen[i]) waveform = dge.eval(waveform, wfmdict, ndim, *inivalstepdimlen, rgba=False) rgbawaveform = None if "ProcRGBA" in wfmdict[waveformname].MetaData and waveformname != "DiffStack": (ndim, dimlen, inival, step, bases) = dge.geom(wfmdict[waveformname]) inivalstepdimlen = [] for i in range(ndim): inivalstepdimlen.append(inival[i]) inivalstepdimlen.append(step[i]) inivalstepdimlen.append(dimlen[i]) rgbawaveform = dge.eval(wfmdict[waveformname], wfmdict, ndim, *inivalstepdimlen, rgba=True) elif chunk.Name == "GUZZWFMD": # either application/x-dataguzzler-waveform (dgz) or application/x-dataguzzler-array (dga) # Look for Environment and Prep Loop if not "waveform" in self._web_support.req.form: waveformnumber = 1 else: waveformnumber = int(self._web_support.req.form['waveform'].value) count = 1 # Loop, if needed, to find correct Waveform if count != waveformnumber: dgf.chunkdone(dgfh, chunk) while count != waveformnumber: chunk = dgf.nextchunk(dgfh) if chunk.Name == "GUZZWFMD": count = count + 1 if count == waveformnumber: break else: dgf.chunkdone(dgfh, chunk) pass # Load Waveform filename = "WAVEFORM"+str(waveformnumber) waveform = dgf.procGUZZWFMD(dgfh, None) waveformname = "Unnamed Waveform " + str(waveformnumber) pass else: raise self.RendererException("Unexpected " + chunk.Name + " Chunk Found") # We're Ready to Start Plotting # Gather Dimensions (ndim, dimlen, inival, step, bases) = dge.geom(waveform) coord = [] units = [] for i in range(ndim): try: coord.append(waveform.MetaData['ProcCoord' + str(i+1)].Value if ("ProcCoord" + str(i+1)) in waveform.MetaData else waveform.MetaData['Coord' + str(i+1)].Value) units.append(waveform.MetaData['ProcUnits' + str(i+1)].Value if ("ProcUnits" + str(i+1)) in waveform.MetaData else waveform.MetaData['Units' + str(i+1)].Value) except: pass try: coord.append(waveform.MetaData['ProcAmplCoord'].Value if "ProcAmplCoord" in waveform.MetaData else waveform.MetaData['AmplCoord'].Value) units.append(waveform.MetaData['ProcAmplUnits'].Value if "ProcAmplUnits" in waveform.MetaData else waveform.MetaData['AmplUnits'].Value) except: pass # Set Colormap if waveformname == "VibroFitImg": cmap = 'hsv' else: cmap = 'hot' # Create Plot - Depending on Scenario if len(waveform.data.shape) == 3: # 3D Waveforms if not "frame" in self._web_support.req.form: framenumber = 0 else: framenumber = int(self._web_support.req.form['frame'].value) filename = filename + "_" + str(framenumber) extent = [inival[0], waveform.data.shape[0] * step[0] + inival[0], inival[1], waveform.data.shape[1] * step[1] + inival[1]] if ROICOORDX1 is not None and ROICOORDX2 is not None and ROICOORDY1 is not None and ROICOORDY2 is not None: if waveformname == "DiffStack": vmin = 0 else: vmin = waveform.data[ROICOORDX1:ROICOORDX2, ROICOORDY2:ROICOORDY1,:].min() vmax = waveform.data[ROICOORDX1:ROICOORDX2, ROICOORDY2:ROICOORDY1,:].max() else: if waveformname == "DiffStack": vmin = 0 else: vmin = waveform.data.min() vmax = waveform.data.max() if "Coord3" in waveform.MetaData: t = numpy.arange(0, waveform.data.shape[2], dtype='d') * step[2] + inival[2] title = waveformname + " (" + coord[2] + ": " + str(t[framenumber]) + " " + units[2] + ")" else: title = waveformname + " (Frame " + str(framenumber) + ")" plt.imshow(waveform.data[:, :, framenumber].T, cmap=cmap, origin='lower', extent=extent, vmin=vmin, vmax=vmax) cb = plt.colorbar() cb.set_label(coord[-1] + " (" + units[-1] + ")") if rgbawaveform is not None: RGBAdat = rgbawaveform.data[:, :, framenumber].transpose().tostring() sz = len(RGBAdat) RGBAmat = numpy.fromstring(RGBAdat, 'B').reshape(sz/4, 4) RGBAmat2 = RGBAmat.copy() RGBAmat2[:, 0] = RGBAmat[:, 3] RGBAmat2[:, 1] = RGBAmat[:, 2] RGBAmat2[:, 2] = RGBAmat[:, 1] RGBAmat2[:, 3] = RGBAmat[:, 0] plt.imshow(Image.fromstring("RGBA", (rgbawaveform.data.shape[0], rgbawaveform.data.shape[1]), RGBAmat2.tostring()), origin='lower', extent=extent) self.plotroi(waveform) plt.title(title) plt.xlabel(coord[0] + " (" + units[0] + ")") plt.ylabel(coord[1] + " (" + units[1] + ")") elif len(waveform.data.shape) == 2: # 2D Waveforms extent = [inival[0], waveform.data.shape[0] * step[0] + inival[0], inival[1], waveform.data.shape[1] * step[1] + inival[1]] if ROICOORDX1 is not None and ROICOORDX2 is not None and ROICOORDY1 is not None and ROICOORDY2 is not None: vmin = waveform.data[ROICOORDX1:ROICOORDX2, ROICOORDY2:ROICOORDY1].min() vmax = waveform.data[ROICOORDX1:ROICOORDX2, ROICOORDY2:ROICOORDY1].max() else: vmin = waveform.data.min() vmax = waveform.data.max() plt.imshow(waveform.data[:, :].T, cmap=cmap, origin='lower', extent=extent, vmin=vmin, vmax=vmax) cb = plt.colorbar() cb.set_label(coord[-1] + " (" + units[-1] + ")") if rgbawaveform is not None: RGBAdat = rgbawaveform.data[:, :].transpose().tostring() sz = len(RGBAdat) RGBAmat = numpy.fromstring(RGBAdat, 'B').reshape(sz/4, 4) RGBAmat2 = RGBAmat.copy() RGBAmat2[:, 0] = RGBAmat[:, 3] RGBAmat2[:, 1] = RGBAmat[:, 2] RGBAmat2[:, 2] = RGBAmat[:, 1] RGBAmat2[:, 3] = RGBAmat[:, 0] plt.imshow(Image.fromstring("RGBA", (rgbawaveform.data.shape[0], rgbawaveform.data.shape[1]), RGBAmat2.tostring()), origin='lower', extent=extent) self.plotroi(waveform) plt.title(waveformname) plt.xlabel(coord[0] + " (" + units[0] + ")") plt.ylabel(coord[1] + " (" + units[1] + ")") elif len(waveform.data.shape) == 1 and waveform.data.shape[0] != 1: # 1D Waveforms n = waveform.data.shape[0] x = numpy.arange(0, n, dtype='d') * step[0] + inival[0] y = waveform.data if n > 10000: chunksize = 1000 numchunks = y.size // chunksize ychunks = y[:chunksize*numchunks].reshape((-1, chunksize)) xchunks = x[:chunksize*numchunks].reshape((-1, chunksize)) max_env = ychunks.max(axis=1) min_env = ychunks.min(axis=1) ycenters = ychunks.mean(axis=1) xcenters = xchunks.mean(axis=1) plt.fill_between(xcenters, min_env, max_env, edgecolor='none') #color='gray', edgecolor='none', alpha=0.5 plt.plot(xcenters, ycenters) else: plt.plot(x, y) plt.title(waveformname) plt.xlabel(coord[0] + " (" + units[0] + ")") plt.ylabel(coord[-1] + " (" + units[-1] + ")") plt.grid(True) pass elif len(waveform.data.shape) != 0 and waveform.data.shape[0] == 1: # 1D 1 Point Scalar Waveform plt.plot(waveform.data, marker='o', color='b') plt.title(waveformname) if "Coord1" in waveform.MetaData: plt.xlabel(coord[0] + " (" + units[0] + ")") plt.ylabel(coord[-1] + " (" + units[-1] + ")") plt.grid(True) pass else: plt.xlabel('NaN') plt.ylabel('NaN') plt.grid(True) plt.title('No Figure') # Finish and Save f = self.getCacheFileHandler('wb', filename, 'png') plt.savefig(f) f.close() plt.clf() dgf.rewind(dgfh) dgf.close(dgfh) size = os.path.getsize(self.getCacheFileName(filename, 'png')) return (self.getCacheFileHandler('rb', filename, 'png'), size, 'image/png') def plotroi(self, waveform): ROIX1=dgm.GetMetaDatumWIDbl(waveform,"ROIX1",-1e12) ROIX2=dgm.GetMetaDatumWIDbl(waveform,"ROIX2",1e12) ROIY1=dgm.GetMetaDatumWIDbl(waveform,"ROIY1",-1e12) ROIY2=dgm.GetMetaDatumWIDbl(waveform,"ROIY2",1e12) if ROIX1 != -1e12 and ROIX2 != 1e12 and ROIY1 != -1e12 and ROIY2 != 1e12: xlim = plt.xlim() ylim = plt.ylim() plt.plot([ROIX1, ROIX2], [ROIY1, ROIY1], 'b-') plt.plot([ROIX1, ROIX2], [ROIY2, ROIY2], 'b-') plt.plot([ROIX1, ROIX1], [ROIY1, ROIY2], 'b-') plt.plot([ROIX2, ROIX2], [ROIY1, ROIY2], 'b-') plt.xlim(xlim) plt.ylim(ylim) pass def getContent(self): if self._caller != "databrowse": return None else: if self._content_mode == "full" or self._content_mode == "summary": nestdepth = -1 if self._content_mode == "summary": nestdepth = 3 pass dgfh = dgf.open(self._fullpath) if dgfh: xmlchunk = self.dumpxmlchunk(dgfh, nestdepth=nestdepth) dgf.close(dgfh) pass if len(xmlchunk) > 1: xmlcontent = etree.Element('{http://thermal.cnde.iastate.edu/dataguzzler}DATAGUZZ', nsmap=self.nsmap) for x in xmlchunk: xmlcontent.append(x) elif len(xmlchunk) == 1: if xmlchunk[0].xpath("local-name()") == "GUZZWFMD": xmlcontent = etree.Element('{http://thermal.cnde.iastate.edu/dataguzzler}DATAGUZZ', nsmap=self.nsmap) xmlcontent.append(xmlchunk[0]) else: xmlcontent = xmlchunk[0] else: raise self.RendererException("Empty Dataguzzler File") extension = os.path.splitext(self._fullpath)[1][1:] icon = self._handler_support.GetIcon('application/octet-stream', extension) downlink = self.getURL(self._relpath, content_mode="raw", download="true") imagelink = self.getURL(self._relpath, content_mode="raw", image="true") matlink = self.getURL(self._relpath, content_mode="raw", matfile="true") csvlink = self.getURL(self._relpath, content_mode="raw", csvfile="true") dgzlink = self.getURL(self._relpath, content_mode="raw", dgzfile="true") avilink = self.getURL(self._relpath, content_mode="raw", avifile="true") try: __import__('imp').find_module('NDI_app') nditoolboxlink = self.getURL(self._relpath, content_mode="nditoolbox") except ImportError: nditoolboxlink = "" pass self.nsmap['dbdg'] = "http://thermal.cnde.iastate.edu/databrowse/dataguzzler" xmlroot = etree.Element('{%s}dbdg' % "http://thermal.cnde.iastate.edu/databrowse/dataguzzler", nsmap=self.nsmap, name=os.path.basename(self._relpath), resurl=self._web_support.resurl, downlink=downlink, icon=icon, imagelink=imagelink, matlink=matlink, csvlink=csvlink, dgzlink=dgzlink, avilink=avilink, nditoolboxlink=nditoolboxlink) xmlroot.append(xmlcontent) return xmlroot elif self._content_mode == "nditoolbox" and "ajax" in self._web_support.req.form: import NDI_app subprocess.Popen(['python', NDI_app.__file__, self._fullpath], cwd=os.path.dirname(NDI_app.__file__)) self._web_support.req.output = "NDITOOlBOX Called Successfully" self._web_support.req.response_headers['Content-Type'] = 'text/plain' return [self._web_support.req.return_page()] elif self._content_mode == "raw": if "image" in self._web_support.req.form: f = None if "snapshot" in self._web_support.req.form and "waveform" in self._web_support.req.form and "frame" in self._web_support.req.form: if self.CacheFileExists("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value+"_"+self._web_support.req.form["frame"].value, 'png'): size = os.path.getsize(self.getCacheFileName("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value+"_"+self._web_support.req.form["frame"].value, 'png')) f = self.getCacheFileHandler('rb', "SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value+"_"+self._web_support.req.form["frame"].value, 'png') contenttype = 'image/png' pass elif "snapshot" in self._web_support.req.form and "waveform" in self._web_support.req.form: if self.CacheFileExists("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'png'): size = os.path.getsize(self.getCacheFileName("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'png')) f = self.getCacheFileHandler('rb', "SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'png') contenttype = 'image/png' pass elif "waveform" in self._web_support.req.form: if self.CacheFileExists("WAVEFORM"+self._web_support.req.form["waveform"].value, 'png'): size = os.path.getsize(self.getCacheFileName("WAVEFORM"+self._web_support.req.form["waveform"].value, 'png')) f = self.getCacheFileHandler('rb', "WAVEFORM"+self._web_support.req.form["waveform"].value, 'png') contenttype = 'image/png' pass if f is None: (f, size, contenttype) = self.GetDataguzzlerWaveformImage() self._web_support.req.response_headers['Content-Disposition'] = "filename=" + os.path.basename(f.name) self._web_support.req.response_headers['Content-Type'] = contenttype self._web_support.req.response_headers['Content-Length'] = str(size) self._web_support.req.start_response(self._web_support.req.status, self._web_support.req.response_headers.items()) self._web_support.req.output_done = True if 'wsgi.file_wrapper' in self._web_support.req.environ: return self._web_support.req.environ['wsgi.file_wrapper'](f, 1024) else: return iter(lambda: f.read(1024), '') elif "matfile" in self._web_support.req.form: f = None if "snapshot" in self._web_support.req.form and "waveform" in self._web_support.req.form: if self.CacheFileExists("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'mat'): size = os.path.getsize(self.getCacheFileName("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'mat')) f = self.getCacheFileHandler('rb', "SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'mat') pass elif "waveform" in self._web_support.req.form: if self.CacheFileExists("WAVEFORM"+self._web_support.req.form["waveform"].value, 'mat'): size = os.path.getsize(self.getCacheFileName("WAVEFORM"+self._web_support.req.form["waveform"].value, 'mat')) f = self.getCacheFileHandler('rb', "WAVEFORM"+self._web_support.req.form["waveform"].value, 'mat') pass if f is None: (f, size) = self.GetDataguzzlerWaveformMatFile() self._web_support.req.response_headers['Content-Disposition'] = "attachment; filename=" + os.path.basename(f.name) self._web_support.req.response_headers['Content-Type'] = 'application/octet-stream' self._web_support.req.response_headers['Content-Length'] = str(size) self._web_support.req.start_response(self._web_support.req.status, self._web_support.req.response_headers.items()) self._web_support.req.output_done = True if 'wsgi.file_wrapper' in self._web_support.req.environ: return self._web_support.req.environ['wsgi.file_wrapper'](f, 1024) else: return iter(lambda: f.read(1024), '') elif "csvfile" in self._web_support.req.form: f = None if "snapshot" in self._web_support.req.form and "waveform" in self._web_support.req.form: if self.CacheFileExists("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'csv'): size = os.path.getsize(self.getCacheFileName("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'csv')) f = self.getCacheFileHandler('rb', "SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'csv') pass elif "waveform" in self._web_support.req.form: if self.CacheFileExists("WAVEFORM"+self._web_support.req.form["waveform"].value, 'csv'): size = os.path.getsize(self.getCacheFileName("WAVEFORM"+self._web_support.req.form["waveform"].value, 'csv')) f = self.getCacheFileHandler('rb', "WAVEFORM"+self._web_support.req.form["waveform"].value, 'csv') pass if f is None: (f, size) = self.GetDataguzzlerWaveformCsvFile() self._web_support.req.response_headers['Content-Disposition'] = "attachment; filename=" + os.path.basename(f.name) self._web_support.req.response_headers['Content-Type'] = 'text/csv' self._web_support.req.response_headers['Content-Length'] = str(size) self._web_support.req.start_response(self._web_support.req.status, self._web_support.req.response_headers.items()) self._web_support.req.output_done = True if 'wsgi.file_wrapper' in self._web_support.req.environ: return self._web_support.req.environ['wsgi.file_wrapper'](f, 1024) else: return iter(lambda: f.read(1024), '') elif "dgzfile" in self._web_support.req.form: f = None if "snapshot" in self._web_support.req.form and "waveform" in self._web_support.req.form: if self.CacheFileExists("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'dgz'): size = os.path.getsize(self.getCacheFileName("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'dgz')) f = self.getCacheFileHandler('rb', "SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'dgz') pass elif "waveform" in self._web_support.req.form: if self.CacheFileExists("WAVEFORM"+self._web_support.req.form["waveform"].value, 'dgz'): size = os.path.getsize(self.getCacheFileName("WAVEFORM"+self._web_support.req.form["waveform"].value, 'dgz')) f = self.getCacheFileHandler('rb', "WAVEFORM"+self._web_support.req.form["waveform"].value, 'dgz') pass if f is None: (f, size) = self.GetDataguzzlerWaveformDgzFile() self._web_support.req.response_headers['Content-Disposition'] = "attachment; filename=" + os.path.basename(f.name) self._web_support.req.response_headers['Content-Type'] = 'application/x-dataguzzler-waveform' self._web_support.req.response_headers['Content-Length'] = str(size) self._web_support.req.start_response(self._web_support.req.status, self._web_support.req.response_headers.items()) self._web_support.req.output_done = True if 'wsgi.file_wrapper' in self._web_support.req.environ: return self._web_support.req.environ['wsgi.file_wrapper'](f, 1024) else: return iter(lambda: f.read(1024), '') elif "avifile" in self._web_support.req.form: f = None if "snapshot" in self._web_support.req.form and "waveform" in self._web_support.req.form: if self.CacheFileExists("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'avi'): size = os.path.getsize(self.getCacheFileName("SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'avi')) f = self.getCacheFileHandler('rb', "SNAPSHOT"+str(self._web_support.req.form['snapshot'].value)+"_"+self._web_support.req.form["waveform"].value, 'avi') pass elif "waveform" in self._web_support.req.form: if self.CacheFileExists("WAVEFORM"+self._web_support.req.form["waveform"].value, 'avi'): size = os.path.getsize(self.getCacheFileName("WAVEFORM"+self._web_support.req.form["waveform"].value, 'avi')) f = self.getCacheFileHandler('rb', "WAVEFORM"+self._web_support.req.form["waveform"].value, 'avi') pass if f is None: (f, size) = self.GetDataguzzlerWaveformVideo() self._web_support.req.response_headers['Content-Disposition'] = "attachment; filename=" + os.path.basename(f.name) self._web_support.req.response_headers['Content-Type'] = 'application/x-msvideo' self._web_support.req.response_headers['Content-Length'] = str(size) self._web_support.req.start_response(self._web_support.req.status, self._web_support.req.response_headers.items()) self._web_support.req.output_done = True if 'wsgi.file_wrapper' in self._web_support.req.environ: return self._web_support.req.environ['wsgi.file_wrapper'](f, 1024) else: return iter(lambda: f.read(1024), '') else: size = os.path.getsize(self._fullpath) if platform.system() is "Windows": contenttype = magic.from_file(self._fullpath, mime=True) else: magicstore = magic.open(magic.MAGIC_MIME) magicstore.load() contenttype = magicstore.file(self._fullpath) f = open(self._fullpath, "rb") self._web_support.req.response_headers['Content-Type'] = contenttype self._web_support.req.response_headers['Content-Length'] = str(size) self._web_support.req.response_headers['Content-Disposition'] = "attachment; filename=" + os.path.basename(self._fullpath) self._web_support.req.start_response(self._web_support.req.status, self._web_support.req.response_headers.items()) self._web_support.req.output_done = True if 'wsgi.file_wrapper' in self._web_support.req.environ: return self._web_support.req.environ['wsgi.file_wrapper'](f, 1024) else: return iter(lambda: f.read(1024), '') else: raise self.RendererException("Invalid Content Mode") pass pass
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py
Python
sdk/python/pulumi_mongodbatlas/private_link_endpoint.py
pulumi/pulumi-mongodbatlas
0d5c085dcfd871b56fb4cf582620260b70caa07a
[ "ECL-2.0", "Apache-2.0" ]
9
2020-04-28T19:12:30.000Z
2022-03-22T23:04:46.000Z
sdk/python/pulumi_mongodbatlas/private_link_endpoint.py
pulumi/pulumi-mongodbatlas
0d5c085dcfd871b56fb4cf582620260b70caa07a
[ "ECL-2.0", "Apache-2.0" ]
59
2020-06-12T12:12:52.000Z
2022-03-28T18:14:50.000Z
sdk/python/pulumi_mongodbatlas/private_link_endpoint.py
pulumi/pulumi-mongodbatlas
0d5c085dcfd871b56fb4cf582620260b70caa07a
[ "ECL-2.0", "Apache-2.0" ]
2
2020-09-25T21:22:08.000Z
2021-08-30T20:06:18.000Z
# 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__ = ['PrivateLinkEndpointArgs', 'PrivateLinkEndpoint'] @pulumi.input_type class PrivateLinkEndpointArgs: def __init__(__self__, *, project_id: pulumi.Input[str], provider_name: pulumi.Input[str], region: pulumi.Input[str]): """ The set of arguments for constructing a PrivateLinkEndpoint resource. :param pulumi.Input[str] project_id: Required Unique identifier for the project. :param pulumi.Input[str] provider_name: Name of the cloud provider for which you want to create the private endpoint service. Atlas accepts `AWS` or `AZURE`. :param pulumi.Input[str] region: Cloud provider region in which you want to create the private endpoint connection. Accepted values are: [AWS regions](https://docs.atlas.mongodb.com/reference/amazon-aws/#amazon-aws) and [AZURE regions](https://docs.atlas.mongodb.com/reference/microsoft-azure/#microsoft-azure) """ pulumi.set(__self__, "project_id", project_id) pulumi.set(__self__, "provider_name", provider_name) pulumi.set(__self__, "region", region) @property @pulumi.getter(name="projectId") def project_id(self) -> pulumi.Input[str]: """ Required Unique identifier for the project. """ return pulumi.get(self, "project_id") @project_id.setter def project_id(self, value: pulumi.Input[str]): pulumi.set(self, "project_id", value) @property @pulumi.getter(name="providerName") def provider_name(self) -> pulumi.Input[str]: """ Name of the cloud provider for which you want to create the private endpoint service. Atlas accepts `AWS` or `AZURE`. """ return pulumi.get(self, "provider_name") @provider_name.setter def provider_name(self, value: pulumi.Input[str]): pulumi.set(self, "provider_name", value) @property @pulumi.getter def region(self) -> pulumi.Input[str]: """ Cloud provider region in which you want to create the private endpoint connection. Accepted values are: [AWS regions](https://docs.atlas.mongodb.com/reference/amazon-aws/#amazon-aws) and [AZURE regions](https://docs.atlas.mongodb.com/reference/microsoft-azure/#microsoft-azure) """ return pulumi.get(self, "region") @region.setter def region(self, value: pulumi.Input[str]): pulumi.set(self, "region", value) @pulumi.input_type class _PrivateLinkEndpointState: def __init__(__self__, *, endpoint_service_name: Optional[pulumi.Input[str]] = None, error_message: Optional[pulumi.Input[str]] = None, interface_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, private_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, private_link_id: Optional[pulumi.Input[str]] = None, private_link_service_name: Optional[pulumi.Input[str]] = None, private_link_service_resource_id: Optional[pulumi.Input[str]] = None, project_id: Optional[pulumi.Input[str]] = None, provider_name: Optional[pulumi.Input[str]] = None, region: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering PrivateLinkEndpoint resources. :param pulumi.Input[str] endpoint_service_name: Name of the PrivateLink endpoint service in AWS. Returns null while the endpoint service is being created. :param pulumi.Input[str] error_message: Error message pertaining to the AWS PrivateLink connection. Returns null if there are no errors. :param pulumi.Input[Sequence[pulumi.Input[str]]] interface_endpoints: Unique identifiers of the interface endpoints in your VPC that you added to the AWS PrivateLink connection. :param pulumi.Input[Sequence[pulumi.Input[str]]] private_endpoints: All private endpoints that you have added to this Azure Private Link Service. :param pulumi.Input[str] private_link_id: Unique identifier of the AWS PrivateLink connection. :param pulumi.Input[str] private_link_service_name: Name of the Azure Private Link Service that Atlas manages. :param pulumi.Input[str] private_link_service_resource_id: Resource ID of the Azure Private Link Service that Atlas manages. :param pulumi.Input[str] project_id: Required Unique identifier for the project. :param pulumi.Input[str] provider_name: Name of the cloud provider for which you want to create the private endpoint service. Atlas accepts `AWS` or `AZURE`. :param pulumi.Input[str] region: Cloud provider region in which you want to create the private endpoint connection. Accepted values are: [AWS regions](https://docs.atlas.mongodb.com/reference/amazon-aws/#amazon-aws) and [AZURE regions](https://docs.atlas.mongodb.com/reference/microsoft-azure/#microsoft-azure) :param pulumi.Input[str] status: Status of the AWS PrivateLink connection or Status of the Azure Private Link Service. Atlas returns one of the following values: AWS: """ if endpoint_service_name is not None: pulumi.set(__self__, "endpoint_service_name", endpoint_service_name) if error_message is not None: pulumi.set(__self__, "error_message", error_message) if interface_endpoints is not None: pulumi.set(__self__, "interface_endpoints", interface_endpoints) if private_endpoints is not None: pulumi.set(__self__, "private_endpoints", private_endpoints) if private_link_id is not None: pulumi.set(__self__, "private_link_id", private_link_id) if private_link_service_name is not None: pulumi.set(__self__, "private_link_service_name", private_link_service_name) if private_link_service_resource_id is not None: pulumi.set(__self__, "private_link_service_resource_id", private_link_service_resource_id) if project_id is not None: pulumi.set(__self__, "project_id", project_id) if provider_name is not None: pulumi.set(__self__, "provider_name", provider_name) if region is not None: pulumi.set(__self__, "region", region) if status is not None: pulumi.set(__self__, "status", status) @property @pulumi.getter(name="endpointServiceName") def endpoint_service_name(self) -> Optional[pulumi.Input[str]]: """ Name of the PrivateLink endpoint service in AWS. Returns null while the endpoint service is being created. """ return pulumi.get(self, "endpoint_service_name") @endpoint_service_name.setter def endpoint_service_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "endpoint_service_name", value) @property @pulumi.getter(name="errorMessage") def error_message(self) -> Optional[pulumi.Input[str]]: """ Error message pertaining to the AWS PrivateLink connection. Returns null if there are no errors. """ return pulumi.get(self, "error_message") @error_message.setter def error_message(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "error_message", value) @property @pulumi.getter(name="interfaceEndpoints") def interface_endpoints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Unique identifiers of the interface endpoints in your VPC that you added to the AWS PrivateLink connection. """ return pulumi.get(self, "interface_endpoints") @interface_endpoints.setter def interface_endpoints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "interface_endpoints", value) @property @pulumi.getter(name="privateEndpoints") def private_endpoints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ All private endpoints that you have added to this Azure Private Link Service. """ return pulumi.get(self, "private_endpoints") @private_endpoints.setter def private_endpoints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "private_endpoints", value) @property @pulumi.getter(name="privateLinkId") def private_link_id(self) -> Optional[pulumi.Input[str]]: """ Unique identifier of the AWS PrivateLink connection. """ return pulumi.get(self, "private_link_id") @private_link_id.setter def private_link_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_link_id", value) @property @pulumi.getter(name="privateLinkServiceName") def private_link_service_name(self) -> Optional[pulumi.Input[str]]: """ Name of the Azure Private Link Service that Atlas manages. """ return pulumi.get(self, "private_link_service_name") @private_link_service_name.setter def private_link_service_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_link_service_name", value) @property @pulumi.getter(name="privateLinkServiceResourceId") def private_link_service_resource_id(self) -> Optional[pulumi.Input[str]]: """ Resource ID of the Azure Private Link Service that Atlas manages. """ return pulumi.get(self, "private_link_service_resource_id") @private_link_service_resource_id.setter def private_link_service_resource_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_link_service_resource_id", value) @property @pulumi.getter(name="projectId") def project_id(self) -> Optional[pulumi.Input[str]]: """ Required Unique identifier for the project. """ return pulumi.get(self, "project_id") @project_id.setter def project_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project_id", value) @property @pulumi.getter(name="providerName") def provider_name(self) -> Optional[pulumi.Input[str]]: """ Name of the cloud provider for which you want to create the private endpoint service. Atlas accepts `AWS` or `AZURE`. """ return pulumi.get(self, "provider_name") @provider_name.setter def provider_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "provider_name", value) @property @pulumi.getter def region(self) -> Optional[pulumi.Input[str]]: """ Cloud provider region in which you want to create the private endpoint connection. Accepted values are: [AWS regions](https://docs.atlas.mongodb.com/reference/amazon-aws/#amazon-aws) and [AZURE regions](https://docs.atlas.mongodb.com/reference/microsoft-azure/#microsoft-azure) """ return pulumi.get(self, "region") @region.setter def region(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "region", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ Status of the AWS PrivateLink connection or Status of the Azure Private Link Service. Atlas returns one of the following values: AWS: """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) class PrivateLinkEndpoint(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, project_id: Optional[pulumi.Input[str]] = None, provider_name: Optional[pulumi.Input[str]] = None, region: Optional[pulumi.Input[str]] = None, __props__=None): """ `PrivateLinkEndpoint` provides a Private Endpoint resource. This represents a Private Endpoint Service that can be created in an Atlas project. > **IMPORTANT:**You must have one of the following roles to successfully handle the resource: * Organization Owner * Project Owner > **NOTE:** Groups and projects are synonymous terms. You may find group_id in the official documentation. > **NOTE:** A network container is created for a private endpoint to reside in if one does not yet exist in the project. ## Example Usage ```python import pulumi import pulumi_mongodbatlas as mongodbatlas test = mongodbatlas.PrivateLinkEndpoint("test", project_id="<PROJECT-ID>", provider_name="AWS/AZURE", region="us-east-1") ``` ## Import Private Endpoint Service can be imported using project ID, private link ID, provider name and region, in the format `{project_id}-{private_link_id}-{provider_name}-{region}`, e.g. ```sh $ pulumi import mongodbatlas:index/privateLinkEndpoint:PrivateLinkEndpoint test 1112222b3bf99403840e8934-3242342343112-AWS-us-east-1 ``` See detailed information for arguments and attributes[MongoDB API Private Endpoint Service](https://docs.atlas.mongodb.com/reference/api/private-endpoints-service-create-one//) :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] project_id: Required Unique identifier for the project. :param pulumi.Input[str] provider_name: Name of the cloud provider for which you want to create the private endpoint service. Atlas accepts `AWS` or `AZURE`. :param pulumi.Input[str] region: Cloud provider region in which you want to create the private endpoint connection. Accepted values are: [AWS regions](https://docs.atlas.mongodb.com/reference/amazon-aws/#amazon-aws) and [AZURE regions](https://docs.atlas.mongodb.com/reference/microsoft-azure/#microsoft-azure) """ ... @overload def __init__(__self__, resource_name: str, args: PrivateLinkEndpointArgs, opts: Optional[pulumi.ResourceOptions] = None): """ `PrivateLinkEndpoint` provides a Private Endpoint resource. This represents a Private Endpoint Service that can be created in an Atlas project. > **IMPORTANT:**You must have one of the following roles to successfully handle the resource: * Organization Owner * Project Owner > **NOTE:** Groups and projects are synonymous terms. You may find group_id in the official documentation. > **NOTE:** A network container is created for a private endpoint to reside in if one does not yet exist in the project. ## Example Usage ```python import pulumi import pulumi_mongodbatlas as mongodbatlas test = mongodbatlas.PrivateLinkEndpoint("test", project_id="<PROJECT-ID>", provider_name="AWS/AZURE", region="us-east-1") ``` ## Import Private Endpoint Service can be imported using project ID, private link ID, provider name and region, in the format `{project_id}-{private_link_id}-{provider_name}-{region}`, e.g. ```sh $ pulumi import mongodbatlas:index/privateLinkEndpoint:PrivateLinkEndpoint test 1112222b3bf99403840e8934-3242342343112-AWS-us-east-1 ``` See detailed information for arguments and attributes[MongoDB API Private Endpoint Service](https://docs.atlas.mongodb.com/reference/api/private-endpoints-service-create-one//) :param str resource_name: The name of the resource. :param PrivateLinkEndpointArgs 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(PrivateLinkEndpointArgs, 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, project_id: Optional[pulumi.Input[str]] = None, provider_name: Optional[pulumi.Input[str]] = None, region: 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__ = PrivateLinkEndpointArgs.__new__(PrivateLinkEndpointArgs) if project_id is None and not opts.urn: raise TypeError("Missing required property 'project_id'") __props__.__dict__["project_id"] = project_id if provider_name is None and not opts.urn: raise TypeError("Missing required property 'provider_name'") __props__.__dict__["provider_name"] = provider_name if region is None and not opts.urn: raise TypeError("Missing required property 'region'") __props__.__dict__["region"] = region __props__.__dict__["endpoint_service_name"] = None __props__.__dict__["error_message"] = None __props__.__dict__["interface_endpoints"] = None __props__.__dict__["private_endpoints"] = None __props__.__dict__["private_link_id"] = None __props__.__dict__["private_link_service_name"] = None __props__.__dict__["private_link_service_resource_id"] = None __props__.__dict__["status"] = None super(PrivateLinkEndpoint, __self__).__init__( 'mongodbatlas:index/privateLinkEndpoint:PrivateLinkEndpoint', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, endpoint_service_name: Optional[pulumi.Input[str]] = None, error_message: Optional[pulumi.Input[str]] = None, interface_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, private_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, private_link_id: Optional[pulumi.Input[str]] = None, private_link_service_name: Optional[pulumi.Input[str]] = None, private_link_service_resource_id: Optional[pulumi.Input[str]] = None, project_id: Optional[pulumi.Input[str]] = None, provider_name: Optional[pulumi.Input[str]] = None, region: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None) -> 'PrivateLinkEndpoint': """ Get an existing PrivateLinkEndpoint 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] endpoint_service_name: Name of the PrivateLink endpoint service in AWS. Returns null while the endpoint service is being created. :param pulumi.Input[str] error_message: Error message pertaining to the AWS PrivateLink connection. Returns null if there are no errors. :param pulumi.Input[Sequence[pulumi.Input[str]]] interface_endpoints: Unique identifiers of the interface endpoints in your VPC that you added to the AWS PrivateLink connection. :param pulumi.Input[Sequence[pulumi.Input[str]]] private_endpoints: All private endpoints that you have added to this Azure Private Link Service. :param pulumi.Input[str] private_link_id: Unique identifier of the AWS PrivateLink connection. :param pulumi.Input[str] private_link_service_name: Name of the Azure Private Link Service that Atlas manages. :param pulumi.Input[str] private_link_service_resource_id: Resource ID of the Azure Private Link Service that Atlas manages. :param pulumi.Input[str] project_id: Required Unique identifier for the project. :param pulumi.Input[str] provider_name: Name of the cloud provider for which you want to create the private endpoint service. Atlas accepts `AWS` or `AZURE`. :param pulumi.Input[str] region: Cloud provider region in which you want to create the private endpoint connection. Accepted values are: [AWS regions](https://docs.atlas.mongodb.com/reference/amazon-aws/#amazon-aws) and [AZURE regions](https://docs.atlas.mongodb.com/reference/microsoft-azure/#microsoft-azure) :param pulumi.Input[str] status: Status of the AWS PrivateLink connection or Status of the Azure Private Link Service. Atlas returns one of the following values: AWS: """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _PrivateLinkEndpointState.__new__(_PrivateLinkEndpointState) __props__.__dict__["endpoint_service_name"] = endpoint_service_name __props__.__dict__["error_message"] = error_message __props__.__dict__["interface_endpoints"] = interface_endpoints __props__.__dict__["private_endpoints"] = private_endpoints __props__.__dict__["private_link_id"] = private_link_id __props__.__dict__["private_link_service_name"] = private_link_service_name __props__.__dict__["private_link_service_resource_id"] = private_link_service_resource_id __props__.__dict__["project_id"] = project_id __props__.__dict__["provider_name"] = provider_name __props__.__dict__["region"] = region __props__.__dict__["status"] = status return PrivateLinkEndpoint(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="endpointServiceName") def endpoint_service_name(self) -> pulumi.Output[str]: """ Name of the PrivateLink endpoint service in AWS. Returns null while the endpoint service is being created. """ return pulumi.get(self, "endpoint_service_name") @property @pulumi.getter(name="errorMessage") def error_message(self) -> pulumi.Output[str]: """ Error message pertaining to the AWS PrivateLink connection. Returns null if there are no errors. """ return pulumi.get(self, "error_message") @property @pulumi.getter(name="interfaceEndpoints") def interface_endpoints(self) -> pulumi.Output[Sequence[str]]: """ Unique identifiers of the interface endpoints in your VPC that you added to the AWS PrivateLink connection. """ return pulumi.get(self, "interface_endpoints") @property @pulumi.getter(name="privateEndpoints") def private_endpoints(self) -> pulumi.Output[Sequence[str]]: """ All private endpoints that you have added to this Azure Private Link Service. """ return pulumi.get(self, "private_endpoints") @property @pulumi.getter(name="privateLinkId") def private_link_id(self) -> pulumi.Output[str]: """ Unique identifier of the AWS PrivateLink connection. """ return pulumi.get(self, "private_link_id") @property @pulumi.getter(name="privateLinkServiceName") def private_link_service_name(self) -> pulumi.Output[str]: """ Name of the Azure Private Link Service that Atlas manages. """ return pulumi.get(self, "private_link_service_name") @property @pulumi.getter(name="privateLinkServiceResourceId") def private_link_service_resource_id(self) -> pulumi.Output[str]: """ Resource ID of the Azure Private Link Service that Atlas manages. """ return pulumi.get(self, "private_link_service_resource_id") @property @pulumi.getter(name="projectId") def project_id(self) -> pulumi.Output[str]: """ Required Unique identifier for the project. """ return pulumi.get(self, "project_id") @property @pulumi.getter(name="providerName") def provider_name(self) -> pulumi.Output[str]: """ Name of the cloud provider for which you want to create the private endpoint service. Atlas accepts `AWS` or `AZURE`. """ return pulumi.get(self, "provider_name") @property @pulumi.getter def region(self) -> pulumi.Output[str]: """ Cloud provider region in which you want to create the private endpoint connection. Accepted values are: [AWS regions](https://docs.atlas.mongodb.com/reference/amazon-aws/#amazon-aws) and [AZURE regions](https://docs.atlas.mongodb.com/reference/microsoft-azure/#microsoft-azure) """ return pulumi.get(self, "region") @property @pulumi.getter def status(self) -> pulumi.Output[str]: """ Status of the AWS PrivateLink connection or Status of the Azure Private Link Service. Atlas returns one of the following values: AWS: """ return pulumi.get(self, "status")
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f9051592800cfaa990ccfbce80ea8003e5361934
3,646
py
Python
Crypto-hardRSA/hardRSA.py
JSW2020/hsctf-2019-freshmen
5282d6d51153aadd62f42673aa3d487f8d7ef45b
[ "MIT" ]
16
2019-12-09T15:53:08.000Z
2021-12-07T00:34:30.000Z
Crypto-hardRSA/hardRSA.py
JSW2020/hsctf-2019-freshmen
5282d6d51153aadd62f42673aa3d487f8d7ef45b
[ "MIT" ]
null
null
null
Crypto-hardRSA/hardRSA.py
JSW2020/hsctf-2019-freshmen
5282d6d51153aadd62f42673aa3d487f8d7ef45b
[ "MIT" ]
7
2019-12-09T11:53:52.000Z
2021-11-14T04:09:04.000Z
#! /usr/bin/python2 # -*- coding: utf-8 -*- import gmpy2 from Crypto.Util import number from flag import flag,e1,e2 assert (e1 < 2**32) assert (e2 < 2**32) m = number.bytes_to_long(flag) p = number.getPrime(1024) q = number.getPrime(1024) n1 = p*q c1 = gmpy2.powmod(m,e1,n1) n2 = number.getPrime(1024)*number.getPrime(1024) c2 = map(int,[gmpy2.powmod(p, e1, n2),gmpy2.powmod(p, e2, n2)]) c3 = map(int,[gmpy2.powmod(e1, 3, n2),gmpy2.powmod(e2, 3, n2)]) print(n1) print(c1) print(n2) print(c2) print(c3) # 20663344096456626185362892348477533517182186882053142706647337201899714776808039454587375363425751938128492869481460684906092848759613711735700756013008894861989195185060549401529712964426010158352945431667721745681102460842141259650838047870792375214143755091908173397326698162055643906107971766533005039089812811815331154778423702649190016868234677302558982582444995422031609348066079964545525255442215190407057560358436241931555171659856372509260897471750723442235372186082836334290607111749282208938511987754441190576997009839833912277021744306552620969825584824979512644347455552973757943329974621563344199917753 # 14139727457584494101862088685473175273827729319149180773889921042777507502317918654755213855918742411885117244635487136685451417495013825234388324686571053166525924073674541965926470076656501382137723303759425066083346558148408153639034565929304368604563516158750030596254433673692479065974239864494398289558628810048365430737228325790900757809197379244083641018570075232855738086559211386653044594149915462976491631782675659399398678318149076622607099229764870866894332417099662185024736496269823929374777787135298312477046554360710236930787099529142168675951272057399692649905525052185757093237606096825993265471726 # 20424621622595493871859268042848954419289728157139143375916986071289614430743936073689036985960932830447777244206062188644932201862077559041413720936694625945320655071879461786229473741810254959219536599969895202606170827391182395035062593818510809546233530683231945335978892038195149797387062629572766790355105394685876838007098373650368315482810314076520971048079313926331142062349058298821820176340012748728065713408283512886127252933278539701451686628994520232456030085515004347623866838448982381613708815131802800571191953100984933471286660883381431256501007982955639458421262619296674687746085348204414896451037 # [11574894642213302918163105174394246729226388036289484642261488231785862925575479935318899829690468173201209614106059295555147019503741677328869593359362821690071730699531370860218206012606358391990798143231212845158178382799904752060571421083668288672356954621722700922696466520976999163982949668709543243469533702195039963264242813987704228692511204818448702438589794188977305020895199113463792111132336095147923772158245406583536883511705792207654783526415172411855853457162318277342259926326746422133543614345187975292523809610341839394552897895252597570588493313668073174173605272010135234960408609358502009518245L, 7255995422699855335813271472817743023592078018568563210340201400649311532530182582686972424033986635162780622208341228000502276330798592888472031319575068835516690777891958048636498807846227042496081961435630452313721307856960769940933316194763267824707853546675472671143375432687139747638156609995628748500812574898694192804271528302770201453129657244974313233094528419326988945797161160891978889019810629890569482411488446940635058670703734202012518989816514481029587893736409213344354126061157389720576051613852171103078761314829716555266111563279288628145277094929462734361791307334218134021994049694303402767560L] # [281487861809153, 49947026556362417]
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7
daa123c36c40dca38112e10eb76a89145a60bdfd
851,388
py
Python
sympy/integrals/rubi/rubi_tests/tests/test_miscellaneous_algebra.py
msgoff/sympy
1e7daef7514902f5e89718fa957b7b36c6669a10
[ "BSD-3-Clause" ]
null
null
null
sympy/integrals/rubi/rubi_tests/tests/test_miscellaneous_algebra.py
msgoff/sympy
1e7daef7514902f5e89718fa957b7b36c6669a10
[ "BSD-3-Clause" ]
null
null
null
sympy/integrals/rubi/rubi_tests/tests/test_miscellaneous_algebra.py
msgoff/sympy
1e7daef7514902f5e89718fa957b7b36c6669a10
[ "BSD-3-Clause" ]
null
null
null
import sys from sympy.external import import_module matchpy = import_module("matchpy") if not matchpy: # bin/test will not execute any tests now disabled = True if sys.version_info[:2] < (3, 6): disabled = True from sympy.integrals.rubi.rubi import rubi_integrate from sympy.functions import log, sqrt, exp, cos, sin, tan, sec, csc, cot from sympy.functions.elementary.hyperbolic import atanh from sympy.functions.elementary.hyperbolic import asinh from sympy.functions.elementary.hyperbolic import acosh from sympy.functions.elementary.trigonometric import atan from sympy.functions.elementary.trigonometric import asin from sympy.functions.elementary.trigonometric import acos from sympy.integrals.rubi.utility_function import ( EllipticE, EllipticF, hypergeom, rubi_test, AppellF1, EllipticPi, Log, Sqrt, ArcTan, ArcTanh, ArcSin, ArcCos, Hypergeometric2F1, ) from sympy import pi as Pi from sympy import ( S, hyper, I, simplify, exp_polar, symbols, elliptic_pi, elliptic_e, elliptic_f, ) from sympy.testing.pytest import SKIP from sympy import acsch as arccsch, acsc as arccsc from sympy import acsch, acsc a, b, c, d, e, f, m, n, x, u, k, p, r, s, t = symbols("a b c d e f m n x u k p r s t") A, B, C, D, a, b, c, d, e, f, g, h, y, z, m, n, p, q, u, v, w, F = symbols( "A B C D a b c d e f g h y z m n p q u v w F", ) def test_1(): # difference in apart assert rubi_test(rubi_integrate(S(1)/(S(2)*sqrt(S(3))*b**(S(3)/2) - S(9)*b*x + S(9)*x**S(3)), x), x, -log(sqrt(b) - sqrt(S(3))*x)/(S(27)*b) + log(S(2)*sqrt(b) + sqrt(S(3))*x)/(S(27)*b) + sqrt(S(3))/(S(9)*sqrt(b)*(sqrt(S(3))*sqrt(b) - S(3)*x)), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate( ( a ** S(3) + S(3) * a ** S(2) * b * x + S(3) * a * b ** S(2) * x ** S(2) + b ** S(3) * x ** S(3) ) ** p, x, ), x, (a + b * x) * ( a ** S(3) + S(3) * a ** S(2) * b * x + S(3) * a * b ** S(2) * x ** S(2) + b ** S(3) * x ** S(3) ) ** p / (b * (S(3) * p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(3) + S(3) * a ** S(2) * b * x + S(3) * a * b ** S(2) * x ** S(2) + b ** S(3) * x ** S(3) ) ** S(3), x, ), x, (a + b * x) ** S(10) / (S(10) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(3) + S(3) * a ** S(2) * b * x + S(3) * a * b ** S(2) * x ** S(2) + b ** S(3) * x ** S(3) ) ** S(2), x, ), x, (a + b * x) ** S(7) / (S(7) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( a ** S(3) + S(3) * a ** S(2) * b * x + S(3) * a * b ** S(2) * x ** S(2) + b ** S(3) * x ** S(3), x, ), x, a ** S(3) * x + S(3) * a ** S(2) * b * x ** S(2) / S(2) + a * b ** S(2) * x ** S(3) + b ** S(3) * x ** S(4) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( a ** S(3) + S(3) * a ** S(2) * b * x + S(3) * a * b ** S(2) * x ** S(2) + b ** S(3) * x ** S(3) ), x, ), x, -S(1) / (S(2) * b * (a + b * x) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(3) + S(3) * a ** S(2) * b * x + S(3) * a * b ** S(2) * x ** S(2) + b ** S(3) * x ** S(3) ) ** (S(-2)), x, ), x, -S(1) / (S(5) * b * (a + b * x) ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(3) + S(3) * a ** S(2) * b * x + S(3) * a * b ** S(2) * x ** S(2) + b ** S(3) * x ** S(3) ) ** (S(-3)), x, ), x, -S(1) / (S(8) * b * (a + b * x) ** S(8)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(3) * a * b + S(3) * b ** S(2) * x + S(3) * b * c * x ** S(2) + c ** S(2) * x ** S(3) ) ** S(3), x, ), x, -(b ** S(3)) * x * (-S(3) * a * c + b ** S(2)) ** S(3) / c ** S(3) + S(3) * b ** S(2) * (b + c * x) ** S(4) * (-S(3) * a * c + b ** S(2)) ** S(2) / (S(4) * c ** S(4)) - S(3) * b * (b + c * x) ** S(7) * (-S(3) * a * c + b ** S(2)) / (S(7) * c ** S(4)) + (b + c * x) ** S(10) / (S(10) * c ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(3) * a * b + S(3) * b ** S(2) * x + S(3) * b * c * x ** S(2) + c ** S(2) * x ** S(3) ) ** S(2), x, ), x, b ** S(2) * x * (-S(3) * a * c + b ** S(2)) ** S(2) / c ** S(2) - b * (b + c * x) ** S(4) * (-S(3) * a * c + b ** S(2)) / (S(2) * c ** S(3)) + (b + c * x) ** S(7) / (S(7) * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(3) * a * b + S(3) * b ** S(2) * x + S(3) * b * c * x ** S(2) + c ** S(2) * x ** S(3), x, ), x, S(3) * a * b * x + S(3) * b ** S(2) * x ** S(2) / S(2) + b * c * x ** S(3) + c ** S(2) * x ** S(4) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( S(3) * a * b + S(3) * b ** S(2) * x + S(3) * b * c * x ** S(2) + c ** S(2) * x ** S(3) ), x, ), x, log(b ** (S(1) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) - b - c * x) / (S(3) * b ** (S(2) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(2) / 3)) - log( b ** (S(2) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(2) / 3) + b ** (S(1) / 3) * (b + c * x) * (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) + (b + c * x) ** S(2) ) / (S(6) * b ** (S(2) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(2) / 3)) - sqrt(S(3)) * atan( sqrt(S(3)) * ( b ** (S(1) / 3) + (S(2) * b + S(2) * c * x) / (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) ) / (S(3) * b ** (S(1) / 3)) ) / (S(3) * b ** (S(2) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(2) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(3) * a * b + S(3) * b ** S(2) * x + S(3) * b * c * x ** S(2) + c ** S(2) * x ** S(3) ) ** (S(-2)), x, ), x, c * (b + c * x) / ( S(3) * b * (-S(3) * a * c + b ** S(2)) * (b * (-S(3) * a * c + b ** S(2)) - (b + c * x) ** S(3)) ) - S(2) * c * log(b ** (S(1) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) - b - c * x) / (S(9) * b ** (S(5) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(5) / 3)) + c * log( b ** (S(2) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(2) / 3) + b ** (S(1) / 3) * (b + c * x) * (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) + (b + c * x) ** S(2) ) / (S(9) * b ** (S(5) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(5) / 3)) + S(2) * sqrt(S(3)) * c * atan( sqrt(S(3)) * ( b ** (S(1) / 3) + (S(2) * b + S(2) * c * x) / (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) ) / (S(3) * b ** (S(1) / 3)) ) / (S(9) * b ** (S(5) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(5) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(3) * a * b + S(3) * b ** S(2) * x + S(3) * b * c * x ** S(2) + c ** S(2) * x ** S(3) ) ** (S(-3)), x, ), x, -(c ** S(2)) * (b + c * x) / ( S(6) * b * (-S(3) * a * c + b ** S(2)) * (b * (-S(3) * a * c + b ** S(2)) - (b + c * x) ** S(3)) ** S(2) ) - S(5) * c ** S(2) * (b + c * x) / ( S(18) * b ** S(2) * (-S(3) * a * c + b ** S(2)) ** S(2) * (b * (-S(3) * a * c + b ** S(2)) - (b + c * x) ** S(3)) ) + S(5) * c ** S(2) * log(b ** (S(1) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) - b - c * x) / (S(27) * b ** (S(8) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(8) / 3)) - S(5) * c ** S(2) * log( b ** (S(2) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(2) / 3) + b ** (S(1) / 3) * (b + c * x) * (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) + (b + c * x) ** S(2) ) / (S(54) * b ** (S(8) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(8) / 3)) - S(5) * sqrt(S(3)) * c ** S(2) * atan( sqrt(S(3)) * ( b ** (S(1) / 3) + (S(2) * b + S(2) * c * x) / (-S(3) * a * c + b ** S(2)) ** (S(1) / 3) ) / (S(3) * b ** (S(1) / 3)) ) / (S(27) * b ** (S(8) / 3) * (-S(3) * a * c + b ** S(2)) ** (S(8) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a * c * e + b * d * f * x ** S(3) + x ** S(2) * (a * d * f + b * c * f + b * d * e) + x * (a * c * f + a * d * e + b * c * e) ) ** S(3), x, ), x, a ** S(3) * c ** S(3) * e ** S(3) * x + S(3) * a ** S(2) * c ** S(2) * e ** S(2) * x ** S(2) * (a * c * f + a * d * e + b * c * e) / S(2) + a * c * e * x ** S(3) * ( a ** S(2) * (c ** S(2) * f ** S(2) + S(3) * c * d * e * f + d ** S(2) * e ** S(2)) + S(3) * a * b * c * e * (c * f + d * e) + b ** S(2) * c ** S(2) * e ** S(2) ) + b ** S(3) * d ** S(3) * f ** S(3) * x ** S(10) / S(10) + b ** S(2) * d ** S(2) * f ** S(2) * x ** S(9) * (a * d * f + b * c * f + b * d * e) / S(3) + S(3) * b * d * f * x ** S(8) * ( a ** S(2) * d ** S(2) * f ** S(2) + S(3) * a * b * d * f * (c * f + d * e) + b ** S(2) * (c ** S(2) * f ** S(2) + S(3) * c * d * e * f + d ** S(2) * e ** S(2)) ) / S(8) + x ** S(7) * ( a ** S(3) * d ** S(3) * f ** S(3) / S(7) + S(9) * a ** S(2) * b * d ** S(2) * f ** S(2) * (c * f + d * e) / S(7) + S(9) * a * b ** S(2) * d * f * (c ** S(2) * f ** S(2) + S(3) * c * d * e * f + d ** S(2) * e ** S(2)) / S(7) + b ** S(3) * ( c ** S(3) * f ** S(3) + S(9) * c ** S(2) * d * e * f ** S(2) + S(9) * c * d ** S(2) * e ** S(2) * f + d ** S(3) * e ** S(3) ) / S(7) ) + x ** S(6) * ( a ** S(3) * d ** S(2) * f ** S(2) * (c * f + d * e) / S(2) + S(3) * a ** S(2) * b * d * f * (c ** S(2) * f ** S(2) + S(3) * c * d * e * f + d ** S(2) * e ** S(2)) / S(2) + a * b ** S(2) * ( c ** S(3) * f ** S(3) + S(9) * c ** S(2) * d * e * f ** S(2) + S(9) * c * d ** S(2) * e ** S(2) * f + d ** S(3) * e ** S(3) ) / S(2) + b ** S(3) * c * e * (c ** S(2) * f ** S(2) + S(3) * c * d * e * f + d ** S(2) * e ** S(2)) / S(2) ) + x ** S(5) * ( S(3) * a ** S(3) * d * f * (c ** S(2) * f ** S(2) + S(3) * c * d * e * f + d ** S(2) * e ** S(2)) / S(5) + S(3) * a ** S(2) * b * ( c ** S(3) * f ** S(3) + S(9) * c ** S(2) * d * e * f ** S(2) + S(9) * c * d ** S(2) * e ** S(2) * f + d ** S(3) * e ** S(3) ) / S(5) + S(9) * a * b ** S(2) * c * e * (c ** S(2) * f ** S(2) + S(3) * c * d * e * f + d ** S(2) * e ** S(2)) / S(5) + S(3) * b ** S(3) * c ** S(2) * e ** S(2) * (c * f + d * e) / S(5) ) + x ** S(4) * ( a ** S(3) * ( c ** S(3) * f ** S(3) + S(9) * c ** S(2) * d * e * f ** S(2) + S(9) * c * d ** S(2) * e ** S(2) * f + d ** S(3) * e ** S(3) ) / S(4) + S(9) * a ** S(2) * b * c * e * (c ** S(2) * f ** S(2) + S(3) * c * d * e * f + d ** S(2) * e ** S(2)) / S(4) + S(9) * a * b ** S(2) * c ** S(2) * e ** S(2) * (c * f + d * e) / S(4) + b ** S(3) * c ** S(3) * e ** S(3) / S(4) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a * c * e + b * d * f * x ** S(3) + x ** S(2) * (a * d * f + b * c * f + b * d * e) + x * (a * c * f + a * d * e + b * c * e) ) ** S(2), x, ), x, a ** S(2) * c ** S(2) * e ** S(2) * x + a * c * e * x ** S(2) * (a * c * f + a * d * e + b * c * e) + b ** S(2) * d ** S(2) * f ** S(2) * x ** S(7) / S(7) + b * d * f * x ** S(6) * (a * d * f + b * c * f + b * d * e) / S(3) + x ** S(5) * ( a ** S(2) * d ** S(2) * f ** S(2) / S(5) + S(4) * a * b * d * f * (c * f + d * e) / S(5) + b ** S(2) * (c ** S(2) * f ** S(2) + S(4) * c * d * e * f + d ** S(2) * e ** S(2)) / S(5) ) + x ** S(4) * ( a ** S(2) * d * f * (c * f + d * e) / S(2) + a * b * (c ** S(2) * f ** S(2) + S(4) * c * d * e * f + d ** S(2) * e ** S(2)) / S(2) + b ** S(2) * c * e * (c * f + d * e) / S(2) ) + x ** S(3) * ( a ** S(2) * (c ** S(2) * f ** S(2) + S(4) * c * d * e * f + d ** S(2) * e ** S(2)) / S(3) + S(4) * a * b * c * e * (c * f + d * e) / S(3) + b ** S(2) * c ** S(2) * e ** S(2) / S(3) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( a * c * e + b * d * f * x ** S(3) + x ** S(2) * (a * d * f + b * c * f + b * d * e) + x * (a * c * f + a * d * e + b * c * e), x, ), x, a * c * e * x + b * d * f * x ** S(4) / S(4) + x ** S(3) * (a * d * f / S(3) + b * c * f / S(3) + b * d * e / S(3)) + x ** S(2) * (a * c * f / S(2) + a * d * e / S(2) + b * c * e / S(2)), expand=True, _diff=True, _numerical=True, ) """taking a long time assert rubi_test(rubi_integrate(S(1)/(a*c*e + b*d*f*x**S(3) + x**S(2)*(a*d*f + b*c*f + b*d*e) + x*(a*c*f + a*d*e + b*c*e)), x), x, b*log(a + b*x)/((-a*d + b*c)*(-a*f + b*e)) - d*log(c + d*x)/((-a*d + b*c)*(-c*f + d*e)) + f*log(e + f*x)/((-a*f + b*e)*(-c*f + d*e)), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate((a*c*e + b*d*f*x**S(3) + x**S(2)*(a*d*f + b*c*f + b*d*e) + x*(a*c*f + a*d*e + b*c*e))**(S(-2)), x), x, -S(2)*b**S(3)*(-S(2)*a*d*f + b*c*f + b*d*e)*log(a + b*x)/((-a*d + b*c)**S(3)*(-a*f + b*e)**S(3)) - b**S(3)/((a + b*x)*(-a*d + b*c)**S(2)*(-a*f + b*e)**S(2)) + S(2)*d**S(3)*(a*d*f - S(2)*b*c*f + b*d*e)*log(c + d*x)/((-a*d + b*c)**S(3)*(-c*f + d*e)**S(3)) - d**S(3)/((c + d*x)*(-a*d + b*c)**S(2)*(-c*f + d*e)**S(2)) + S(2)*f**S(3)*(-a*d*f - b*c*f + S(2)*b*d*e)*log(e + f*x)/((-a*f + b*e)**S(3)*(-c*f + d*e)**S(3)) - f**S(3)/((e + f*x)*(-a*f + b*e)**S(2)*(-c*f + d*e)**S(2)), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate((a*c*e + b*d*f*x**S(3) + x**S(2)*(a*d*f + b*c*f + b*d*e) + x*(a*c*f + a*d*e + b*c*e))**(S(-3)), x), x, S(3)*b**S(5)*(S(7)*a**S(2)*d**S(2)*f**S(2) - S(7)*a*b*d*f*(c*f + d*e) + b**S(2)*(S(2)*c**S(2)*f**S(2) + S(3)*c*d*e*f + S(2)*d**S(2)*e**S(2)))*log(a + b*x)/((-a*d + b*c)**S(5)*(-a*f + b*e)**S(5)) + S(3)*b**S(5)*(-S(2)*a*d*f + b*c*f + b*d*e)/((a + b*x)*(-a*d + b*c)**S(4)*(-a*f + b*e)**S(4)) - b**S(5)/(S(2)*(a + b*x)**S(2)*(-a*d + b*c)**S(3)*(-a*f + b*e)**S(3)) - S(3)*d**S(5)*(S(2)*a**S(2)*d**S(2)*f**S(2) + a*b*d*f*(-S(7)*c*f + S(3)*d*e) + b**S(2)*(S(7)*c**S(2)*f**S(2) - S(7)*c*d*e*f + S(2)*d**S(2)*e**S(2)))*log(c + d*x)/((-a*d + b*c)**S(5)*(-c*f + d*e)**S(5)) + S(3)*d**S(5)*(a*d*f - S(2)*b*c*f + b*d*e)/((c + d*x)*(-a*d + b*c)**S(4)*(-c*f + d*e)**S(4)) + d**S(5)/(S(2)*(c + d*x)**S(2)*(-a*d + b*c)**S(3)*(-c*f + d*e)**S(3)) + S(3)*f**S(5)*(S(2)*a**S(2)*d**S(2)*f**S(2) - a*b*d*f*(-S(3)*c*f + S(7)*d*e) + b**S(2)*(S(2)*c**S(2)*f**S(2) - S(7)*c*d*e*f + S(7)*d**S(2)*e**S(2)))*log(e + f*x)/((-a*f + b*e)**S(5)*(-c*f + d*e)**S(5)) - S(3)*f**S(5)*(-a*d*f - b*c*f + S(2)*b*d*e)/((e + f*x)*(-a*f + b*e)**S(4)*(-c*f + d*e)**S(4)) - f**S(5)/(S(2)*(e + f*x)**S(2)*(-a*f + b*e)**S(3)*(-c*f + d*e)**S(3)), expand=True, _diff=True, _numerical=True) """ """matchpy and mathematica difference assert rubi_test(rubi_integrate(S(1)/(S(16)*x**S(3) - S(4)*x**S(2) + S(4)*x + S(-1)), x), x, log(-S(4)*x + S(1))/S(5) - log(S(4)*x**S(2) + S(1))/S(10) - atan(S(2)*x)/S(10), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate(S(1)/(x**S(3) + x**S(2) + x + S(1)), x), x, log(x + S(1))/S(2) - log(x**S(2) + S(1))/S(4) + atan(x)/S(2), expand=True, _diff=True, _numerical=True) """ assert rubi_test( rubi_integrate(S(1) / (d * x ** S(3)), x), x, -S(1) / (S(2) * d * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (c * x ** S(2) + d * x ** S(3)), x), x, -S(1) / (c * x) - d * log(x) / c ** S(2) + d * log(c + d * x) / c ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (b * x + d * x ** S(3)), x), x, log(x) / b - log(b + d * x ** S(2)) / (S(2) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (b * x + c * x ** S(2) + d * x ** S(3)), x), x, c * atanh((c + S(2) * d * x) / sqrt(-S(4) * b * d + c ** S(2))) / (b * sqrt(-S(4) * b * d + c ** S(2))) + log(x) / b - log(b + c * x + d * x ** S(2)) / (S(2) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + d * x ** S(3)), x), x, log(a ** (S(1) / 3) + d ** (S(1) / 3) * x) / (S(3) * a ** (S(2) / 3) * d ** (S(1) / 3)) - log( a ** (S(2) / 3) - a ** (S(1) / 3) * d ** (S(1) / 3) * x + d ** (S(2) / 3) * x ** S(2) ) / (S(6) * a ** (S(2) / 3) * d ** (S(1) / 3)) - sqrt(S(3)) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * d ** (S(1) / 3) * x) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * d ** (S(1) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((d * x ** S(3)) ** n, x), x, x * (d * x ** S(3)) ** n / (S(3) * n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2) + d * x ** S(3)) ** n, x), x, x * (S(1) + d * x / c) ** (-n) * (c * x ** S(2) + d * x ** S(3)) ** n * hyper((-n, S(2) * n + S(1)), (S(2) * n + S(2),), -d * x / c) / (S(2) * n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b * x + d * x ** S(3)) ** n, x), x, x * (b + d * x ** S(2)) * (b * x + d * x ** S(3)) ** n * hyper( (S(1), S(3) * n / S(2) + S(3) / 2), (n / S(2) + S(3) / 2,), -d * x ** S(2) / b, ) / (b * (n + S(1))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((b * x + d * x ** S(3)) ** n, x), x, x * (S(1) + d * x ** S(2) / b) ** (-n) * (b * x + d * x ** S(3)) ** n * hyper((-n, n / S(2) + S(1) / 2), (n / S(2) + S(3) / 2,), -d * x ** S(2) / b) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b * x + c * x ** S(2) + d * x ** S(3)) ** n, x), x, x * (S(2) * d * x / (c - sqrt(-S(4) * b * d + c ** S(2))) + S(1)) ** (-n) * (S(2) * d * x / (c + sqrt(-S(4) * b * d + c ** S(2))) + S(1)) ** (-n) * (b * x + c * x ** S(2) + d * x ** S(3)) ** n * AppellF1( n + S(1), -n, -n, n + S(2), -S(2) * d * x / (c - sqrt(-S(4) * b * d + c ** S(2))), -S(2) * d * x / (c + sqrt(-S(4) * b * d + c ** S(2))), ) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + d * x ** S(3)) ** n, x), x, x * (a + d * x ** S(3)) ** (n + S(1)) * hyper((S(1), n + S(4) / 3), (S(4) / 3,), -d * x ** S(3) / a) / a, expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((a + d * x ** S(3)) ** n, x), x, x * (S(1) + d * x ** S(3) / a) ** (-n) * (a + d * x ** S(3)) ** n * hyper((S(1) / 3, -n), (S(4) / 3,), -d * x ** S(3) / a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(5) + S(5) * a ** S(4) * b * x + S(10) * a ** S(3) * b ** S(2) * x ** S(2) + S(10) * a ** S(2) * b ** S(3) * x ** S(3) + S(5) * a * b ** S(4) * x ** S(4) + b ** S(5) * x ** S(5) ) ** S(3), x, ), x, (a + b * x) ** S(16) / (S(16) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(5) + S(5) * a ** S(4) * b * x + S(10) * a ** S(3) * b ** S(2) * x ** S(2) + S(10) * a ** S(2) * b ** S(3) * x ** S(3) + S(5) * a * b ** S(4) * x ** S(4) + b ** S(5) * x ** S(5) ) ** S(2), x, ), x, (a + b * x) ** S(11) / (S(11) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( a ** S(5) + S(5) * a ** S(4) * b * x + S(10) * a ** S(3) * b ** S(2) * x ** S(2) + S(10) * a ** S(2) * b ** S(3) * x ** S(3) + S(5) * a * b ** S(4) * x ** S(4) + b ** S(5) * x ** S(5), x, ), x, (a + b * x) ** S(6) / (S(6) * b), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( a ** S(5) + S(5) * a ** S(4) * b * x + S(10) * a ** S(3) * b ** S(2) * x ** S(2) + S(10) * a ** S(2) * b ** S(3) * x ** S(3) + S(5) * a * b ** S(4) * x ** S(4) + b ** S(5) * x ** S(5), x, ), x, a ** S(5) * x + S(5) * a ** S(4) * b * x ** S(2) / S(2) + S(10) * a ** S(3) * b ** S(2) * x ** S(3) / S(3) + S(5) * a ** S(2) * b ** S(3) * x ** S(4) / S(2) + a * b ** S(4) * x ** S(5) + b ** S(5) * x ** S(6) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( a ** S(5) + S(5) * a ** S(4) * b * x + S(10) * a ** S(3) * b ** S(2) * x ** S(2) + S(10) * a ** S(2) * b ** S(3) * x ** S(3) + S(5) * a * b ** S(4) * x ** S(4) + b ** S(5) * x ** S(5) ), x, ), x, -S(1) / (S(4) * b * (a + b * x) ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(5) + S(5) * a ** S(4) * b * x + S(10) * a ** S(3) * b ** S(2) * x ** S(2) + S(10) * a ** S(2) * b ** S(3) * x ** S(3) + S(5) * a * b ** S(4) * x ** S(4) + b ** S(5) * x ** S(5) ) ** (S(-2)), x, ), x, -S(1) / (S(9) * b * (a + b * x) ** S(9)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(5) + S(5) * a ** S(4) * b * x + S(10) * a ** S(3) * b ** S(2) * x ** S(2) + S(10) * a ** S(2) * b ** S(3) * x ** S(3) + S(5) * a * b ** S(4) * x ** S(4) + b ** S(5) * x ** S(5) ) ** (S(-3)), x, ), x, -S(1) / (S(14) * b * (a + b * x) ** S(14)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (c + (a + b * x) ** S(2)), x), x, -S(3) * a * x / b ** S(3) - a * (a ** S(2) - S(3) * c) * atan((a + b * x) / sqrt(c)) / (b ** S(4) * sqrt(c)) + (a + b * x) ** S(2) / (S(2) * b ** S(4)) + (S(3) * a ** S(2) / S(2) - c / S(2)) * log(c + (a + b * x) ** S(2)) / b ** S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (c + (a + b * x) ** S(2)), x), x, -a * log(c + (a + b * x) ** S(2)) / b ** S(3) + x / b ** S(2) + (a ** S(2) - c) * atan((a + b * x) / sqrt(c)) / (b ** S(3) * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (c + (a + b * x) ** S(2)), x), x, -a * atan((a + b * x) / sqrt(c)) / (b ** S(2) * sqrt(c)) + log(c + (a + b * x) ** S(2)) / (S(2) * b ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (c + (a + b * x) ** S(2)), x), x, atan((a + b * x) / sqrt(c)) / (b * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (c + (a + b * x) ** S(2))), x), x, -a * atan((a + b * x) / sqrt(c)) / (sqrt(c) * (a ** S(2) + c)) + log(x) / (a ** S(2) + c) - log(c + (a + b * x) ** S(2)) / (S(2) * (a ** S(2) + c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (c + (a + b * x) ** S(2))), x), x, -S(2) * a * b * log(x) / (a ** S(2) + c) ** S(2) + a * b * log(c + (a + b * x) ** S(2)) / (a ** S(2) + c) ** S(2) + b * (a ** S(2) - c) * atan((a + b * x) / sqrt(c)) / (sqrt(c) * (a ** S(2) + c) ** S(2)) - S(1) / (x * (a ** S(2) + c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * (c + (a + b * x) ** S(2))), x), x, -a * b ** S(2) * (a ** S(2) - S(3) * c) * atan((a + b * x) / sqrt(c)) / (sqrt(c) * (a ** S(2) + c) ** S(3)) + S(2) * a * b / (x * (a ** S(2) + c) ** S(2)) + b ** S(2) * (S(3) * a ** S(2) - c) * log(x) / (a ** S(2) + c) ** S(3) - b ** S(2) * (S(3) * a ** S(2) - c) * log(c + (a + b * x) ** S(2)) / (S(2) * (a ** S(2) + c) ** S(3)) - S(1) / (S(2) * x ** S(2) * (a ** S(2) + c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * (c + d * x) ** S(2)), x), x, atan(sqrt(b) * (c + d * x) / sqrt(a)) / (sqrt(a) * sqrt(b) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c + d * x) ** S(2)) ** (S(-2)), x), x, (c / S(2) + d * x / S(2)) / (a * d * (a + b * (c + d * x) ** S(2))) + atan(sqrt(b) * (c + d * x) / sqrt(a)) / (S(2) * a ** (S(3) / 2) * sqrt(b) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c + d * x) ** S(2)) ** (S(-3)), x), x, (c / S(4) + d * x / S(4)) / (a * d * (a + b * (c + d * x) ** S(2)) ** S(2)) + (S(3) * c / S(8) + S(3) * d * x / S(8)) / (a ** S(2) * d * (a + b * (c + d * x) ** S(2))) + S(3) * atan(sqrt(b) * (c + d * x) / sqrt(a)) / (S(8) * a ** (S(5) / 2) * sqrt(b) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (b * (c + d * x) ** S(2) + sqrt(-a)), x), x, atan(sqrt(b) * (c + d * x) / (-a) ** (S(1) / 4)) / (sqrt(b) * d * (-a) ** (S(1) / 4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((c + d * x) ** S(2) + S(1)), x), x, atan(c + d * x) / d, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(((c + d * x) ** S(2) + S(1)) ** (S(-2)), x), x, (c / S(2) + d * x / S(2)) / (d * ((c + d * x) ** S(2) + S(1))) + atan(c + d * x) / (S(2) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(((c + d * x) ** S(2) + S(1)) ** (S(-3)), x), x, (c / S(4) + d * x / S(4)) / (d * ((c + d * x) ** S(2) + S(1)) ** S(2)) + (S(3) * c / S(8) + S(3) * d * x / S(8)) / (d * ((c + d * x) ** S(2) + S(1))) + S(3) * atan(c + d * x) / (S(8) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (-((c + d * x) ** S(2)) + S(1)), x), x, atanh(c + d * x) / d, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-((c + d * x) ** S(2)) + S(1)) ** (S(-2)), x), x, (c / S(2) + d * x / S(2)) / (d * (-((c + d * x) ** S(2)) + S(1))) + atanh(c + d * x) / (S(2) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-((c + d * x) ** S(2)) + S(1)) ** (S(-3)), x), x, (c / S(4) + d * x / S(4)) / (d * (-((c + d * x) ** S(2)) + S(1)) ** S(2)) + (S(3) * c / S(8) + S(3) * d * x / S(8)) / (d * (-((c + d * x) ** S(2)) + S(1))) + S(3) * atanh(c + d * x) / (S(8) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (-((x + S(1)) ** S(2)) + S(1)), x), x, atanh(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-((x + S(1)) ** S(2)) + S(1)) ** (S(-2)), x), x, (x / S(2) + S(1) / 2) / (-((x + S(1)) ** S(2)) + S(1)) + atanh(x + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-((x + S(1)) ** S(2)) + S(1)) ** (S(-3)), x), x, (x / S(4) + S(1) / 4) / (-((x + S(1)) ** S(2)) + S(1)) ** S(2) + (S(3) * x / S(8) + S(3) / 8) / (-((x + S(1)) ** S(2)) + S(1)) + S(3) * atanh(x + S(1)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(((a + b * x) ** S(2) + S(1)) ** S(2) / x, x), x, a * b * x * (a ** S(2) + S(2)) + a * (a + b * x) ** S(3) / S(3) + (a + b * x) ** S(4) / S(4) + (a + b * x) ** S(2) * (a ** S(2) / S(2) + S(1)) + (a ** S(2) + S(1)) ** S(2) * log(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / ((x + S(-1)) ** S(2) + S(1)), x), x, x + log((x + S(-1)) ** S(2) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / sqrt(-((x + S(1)) ** S(2)) + S(1)), x), x, -x * sqrt(-((x + S(1)) ** S(2)) + S(1)) / S(2) + S(3) * sqrt(-((x + S(1)) ** S(2)) + S(1)) / S(2) + S(3) * asin(x + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / sqrt(-((a + b * x) ** S(2)) + S(1)), x), x, S(3) * a * sqrt(-((a + b * x) ** S(2)) + S(1)) / (S(2) * b ** S(3)) - x * sqrt(-((a + b * x) ** S(2)) + S(1)) / (S(2) * b ** S(2)) + (a ** S(2) + S(1) / 2) * asin(a + b * x) / b ** S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / sqrt((a + b * x) ** S(2) + S(1)), x), x, -S(3) * a * sqrt((a + b * x) ** S(2) + S(1)) / (S(2) * b ** S(3)) + x * sqrt((a + b * x) ** S(2) + S(1)) / (S(2) * b ** S(2)) + (a ** S(2) + S(-1) / 2) * asinh(a + b * x) / b ** S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (A + B * x + C * x ** S(2) + D * x ** S(3)) / (a * x ** S(4) + a + b * x ** S(3) + b * x + c * x ** S(2)), x, ), x, -( D * (b - sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) + S(2) * a * (A - C) ) * log( S(2) * a * x ** S(2) + S(2) * a + x * (b - sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) ) / (S(4) * a * sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) + ( D * (b + sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) + S(2) * a * (A - C) ) * log( S(2) * a * x ** S(2) + S(2) * a + x * (b + sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) ) / (S(4) * a * sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) - sqrt(S(2)) * ( S(4) * B * a ** S(2) + D * b * (b + sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) - a * ( A * (b + sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) + C * b + C * sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2)) + S(2) * D * c ) ) * atan( sqrt(S(2)) * (S(4) * a * x + b + sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) / ( S(2) * sqrt( S(4) * a ** S(2) + S(2) * a * c - b * (b + sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) ) ) ) / ( S(2) * a * sqrt( S(4) * a ** S(2) + S(2) * a * c - b * (b + sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) ) * sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2)) ) + sqrt(S(2)) * ( S(4) * B * a ** S(2) + D * b * (b - sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) - a * ( A * (b - sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) + C * b - C * sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2)) + S(2) * D * c ) ) * atan( sqrt(S(2)) * (S(4) * a * x + b - sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) / ( S(2) * sqrt( S(4) * a ** S(2) + S(2) * a * c - b * (b - sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) ) ) ) / ( S(2) * a * sqrt( S(4) * a ** S(2) + S(2) * a * c - b * (b - sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2))) ) * sqrt(S(8) * a ** S(2) - S(4) * a * c + b ** S(2)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(4) * (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(3) * x ** S(2) + x + S(2)), x, ), x, x ** S(4) / S(4) + x ** S(3) / S(3) - S(3) * x ** S(2) / S(4) + S(5) * x / S(4) + log(x ** S(2) + x + S(1)) / S(3) - S(13) * log(S(2) * x ** S(2) - x + S(2)) / S(48) + sqrt(S(15)) * atan(sqrt(S(15)) * (-S(4) * x + S(1)) / S(15)) / S(72) - S(10) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(3) * x ** S(2) + x + S(2)), x, ), x, x ** S(3) / S(3) + x ** S(2) / S(2) - S(3) * x / S(2) + S(2) * log(x ** S(2) + x + S(1)) / S(3) - log(S(2) * x ** S(2) - x + S(2)) / S(24) + S(5) * sqrt(S(15)) * atan(sqrt(S(15)) * (-S(4) * x + S(1)) / S(15)) / S(36) + S(8) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(3) * x ** S(2) + x + S(2)), x, ), x, x ** S(2) / S(2) + x - log(x ** S(2) + x + S(1)) + log(S(2) * x ** S(2) - x + S(2)) / S(4) + sqrt(S(15)) * atan(sqrt(S(15)) * (-S(4) * x + S(1)) / S(15)) / S(18) + S(2) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(3) * x ** S(2) + x + S(2)), x, ), x, x + log(x ** S(2) + x + S(1)) / S(3) + log(S(2) * x ** S(2) - x + S(2)) / S(6) - sqrt(S(15)) * atan(sqrt(S(15)) * (-S(4) * x + S(1)) / S(15)) / S(9) - S(10) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(3) * x ** S(2) + x + S(2)), x, ), x, S(2) * log(x ** S(2) + x + S(1)) / S(3) - log(S(2) * x ** S(2) - x + S(2)) / S(6) - sqrt(S(15)) * atan(sqrt(S(15)) * (-S(4) * x + S(1)) / S(15)) / S(9) + S(8) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (x * (S(2) * x ** S(4) + x ** S(3) + S(3) * x ** S(2) + x + S(2))), x, ), x, S(5) * log(x) / S(2) - log(x ** S(2) + x + S(1)) - log(S(2) * x ** S(2) - x + S(2)) / S(4) + sqrt(S(15)) * atan(sqrt(S(15)) * (-S(4) * x + S(1)) / S(15)) / S(18) + S(2) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / ( x ** S(2) * (S(2) * x ** S(4) + x ** S(3) + S(3) * x ** S(2) + x + S(2)) ), x, ), x, -S(3) * log(x) / S(4) + log(x ** S(2) + x + S(1)) / S(3) + log(S(2) * x ** S(2) - x + S(2)) / S(24) + S(5) * sqrt(S(15)) * atan(sqrt(S(15)) * (-S(4) * x + S(1)) / S(15)) / S(36) - S(10) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(9) - S(5) / (S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / ( x ** S(3) * (S(2) * x ** S(4) + x ** S(3) + S(3) * x ** S(2) + x + S(2)) ), x, ), x, -S(15) * log(x) / S(8) + S(2) * log(x ** S(2) + x + S(1)) / S(3) + S(13) * log(S(2) * x ** S(2) - x + S(2)) / S(48) + sqrt(S(15)) * atan(sqrt(S(15)) * (-S(4) * x + S(1)) / S(15)) / S(72) + S(8) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(9) + S(3) / (S(4) * x) - S(5) / (S(4) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(5) * x ** S(2) + x + S(2)), x, ), x, x ** S(3) * (S(7) - S(5) * sqrt(S(7)) * I) / S(42) + x ** S(3) * (S(7) + S(5) * sqrt(S(7)) * I) / S(42) + x ** S(2) * (S(7) - S(5) * sqrt(S(7)) * I) / S(28) + x ** S(2) * (S(7) + S(5) * sqrt(S(7)) * I) / S(28) - x * (S(35) + S(9) * sqrt(S(7)) * I) / S(28) - x * (S(35) - S(9) * sqrt(S(7)) * I) / S(28) + S(3) * (S(7) - S(11) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) - sqrt(S(7)) * I) + S(4)) / S(112) + S(3) * (S(7) + S(11) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) + sqrt(S(7)) * I) + S(4)) / S(112) - S(11) * (-S(5) * sqrt(S(7)) + S(9) * I) * atan((S(8) * x + S(1) + sqrt(S(7)) * I) / sqrt(S(70) - S(2) * sqrt(S(7)) * I)) / (S(4) * sqrt(S(490) - S(14) * sqrt(S(7)) * I)) + S(11) * (S(5) * sqrt(S(7)) + S(9) * I) * atan((S(8) * x + S(1) - sqrt(S(7)) * I) / sqrt(S(70) + S(2) * sqrt(S(7)) * I)) / (S(4) * sqrt(S(490) + S(14) * sqrt(S(7)) * I)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(5) * x ** S(2) + x + S(2)), x, ), x, x ** S(2) * (S(7) - S(5) * sqrt(S(7)) * I) / S(28) + x ** S(2) * (S(7) + S(5) * sqrt(S(7)) * I) / S(28) + x * (S(7) - S(5) * sqrt(S(7)) * I) / S(14) + x * (S(7) + S(5) * sqrt(S(7)) * I) / S(14) - (S(35) + S(9) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) - sqrt(S(7)) * I) + S(4)) / S(56) - (S(35) - S(9) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) + sqrt(S(7)) * I) + S(4)) / S(56) + (-sqrt(S(7)) + S(53) * I) * atan((S(8) * x + S(1) + sqrt(S(7)) * I) / sqrt(S(70) - S(2) * sqrt(S(7)) * I)) / (S(2) * sqrt(S(490) - S(14) * sqrt(S(7)) * I)) - (sqrt(S(7)) + S(53) * I) * atan((S(8) * x + S(1) - sqrt(S(7)) * I) / sqrt(S(70) + S(2) * sqrt(S(7)) * I)) / (S(2) * sqrt(S(490) + S(14) * sqrt(S(7)) * I)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(5) * x ** S(2) + x + S(2)), x, ), x, x * (S(7) - S(5) * sqrt(S(7)) * I) / S(14) + x * (S(7) + S(5) * sqrt(S(7)) * I) / S(14) + (S(7) + S(5) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) - sqrt(S(7)) * I) + S(4)) / S(28) + (S(7) - S(5) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) + sqrt(S(7)) * I) + S(4)) / S(28) + (-S(7) * sqrt(S(7)) + S(19) * I) * atan((S(8) * x + S(1) + sqrt(S(7)) * I) / sqrt(S(70) - S(2) * sqrt(S(7)) * I)) / sqrt(S(490) - S(14) * sqrt(S(7)) * I) - (S(7) * sqrt(S(7)) + S(19) * I) * atan((S(8) * x + S(1) - sqrt(S(7)) * I) / sqrt(S(70) + S(2) * sqrt(S(7)) * I)) / sqrt(S(490) + S(14) * sqrt(S(7)) * I), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (S(2) * x ** S(4) + x ** S(3) + S(5) * x ** S(2) + x + S(2)), x, ), x, (S(7) + S(5) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) - sqrt(S(7)) * I) + S(4)) / S(28) + (S(7) - S(5) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) + sqrt(S(7)) * I) + S(4)) / S(28) - (-S(7) * sqrt(S(7)) + S(19) * I) * atan((S(8) * x + S(1) + sqrt(S(7)) * I) / sqrt(S(70) - S(2) * sqrt(S(7)) * I)) / sqrt(S(490) - S(14) * sqrt(S(7)) * I) + (S(7) * sqrt(S(7)) + S(19) * I) * atan((S(8) * x + S(1) - sqrt(S(7)) * I) / sqrt(S(70) + S(2) * sqrt(S(7)) * I)) / sqrt(S(490) + S(14) * sqrt(S(7)) * I), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / (x * (S(2) * x ** S(4) + x ** S(3) + S(5) * x ** S(2) + x + S(2))), x, ), x, (S(35) - S(9) * sqrt(S(7)) * I) * log(x) / S(28) + (S(35) + S(9) * sqrt(S(7)) * I) * log(x) / S(28) - (S(35) + S(9) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) - sqrt(S(7)) * I) + S(4)) / S(56) - (S(35) - S(9) * sqrt(S(7)) * I) * log(S(4) * x ** S(2) + x * (S(1) + sqrt(S(7)) * I) + S(4)) / S(56) - (-sqrt(S(7)) + S(53) * I) * atan((S(8) * x + S(1) + sqrt(S(7)) * I) / sqrt(S(70) - S(2) * sqrt(S(7)) * I)) / (S(2) * sqrt(S(490) - S(14) * sqrt(S(7)) * I)) + (sqrt(S(7)) + S(53) * I) * atan((S(8) * x + S(1) - sqrt(S(7)) * I) / sqrt(S(70) + S(2) * sqrt(S(7)) * I)) / (S(2) * sqrt(S(490) + S(14) * sqrt(S(7)) * I)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / ( x ** S(2) * (S(2) * x ** S(4) + x ** S(3) + S(5) * x ** S(2) + x + S(2)) ), x, ), x, -S(3) * (S(7) + S(11) * sqrt(S(7)) * I) * log(x) / S(56) - S(3) * (S(7) - S(11) * sqrt(S(7)) * I) * log(x) / S(56) + S(3) * (S(7) + S(11) * sqrt(S(7)) * I) * log(S(4) * I * x ** S(2) + x * (-sqrt(S(7)) + I) + S(4) * I) / S(112) + S(3) * (S(7) - S(11) * sqrt(S(7)) * I) * log(S(4) * I * x ** S(2) + x * (sqrt(S(7)) + I) + S(4) * I) / S(112) + S(11) * (S(9) + S(5) * sqrt(S(7)) * I) * atanh((S(8) * I * x - sqrt(S(7)) + I) / sqrt(S(70) - S(2) * sqrt(S(7)) * I)) / (S(4) * sqrt(S(490) - S(14) * sqrt(S(7)) * I)) - S(11) * (S(9) - S(5) * sqrt(S(7)) * I) * atanh((S(8) * I * x + sqrt(S(7)) + I) / sqrt(S(70) + S(2) * sqrt(S(7)) * I)) / (S(4) * sqrt(S(490) + S(14) * sqrt(S(7)) * I)) + (S(-5) / 4 - S(9) * sqrt(S(7)) * I / S(28)) / x + (S(-5) / 4 + S(9) * sqrt(S(7)) * I / S(28)) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + x + S(5)) / ( x ** S(3) * (S(2) * x ** S(4) + x ** S(3) + S(5) * x ** S(2) + x + S(2)) ), x, ), x, -(S(35) + S(9) * sqrt(S(7)) * I) * log(x) / S(16) - (S(35) - S(9) * sqrt(S(7)) * I) * log(x) / S(16) + (S(35) - S(9) * sqrt(S(7)) * I) * log(S(4) * I * x ** S(2) + x * (-sqrt(S(7)) + I) + S(4) * I) / S(32) + (S(35) + S(9) * sqrt(S(7)) * I) * log(S(4) * I * x ** S(2) + x * (sqrt(S(7)) + I) + S(4) * I) / S(32) + (S(355) - S(73) * sqrt(S(7)) * I) * atanh((S(8) * I * x - sqrt(S(7)) + I) / sqrt(S(70) - S(2) * sqrt(S(7)) * I)) / (S(8) * sqrt(S(490) - S(14) * sqrt(S(7)) * I)) - (S(355) + S(73) * sqrt(S(7)) * I) * atanh((S(8) * I * x + sqrt(S(7)) + I) / sqrt(S(70) + S(2) * sqrt(S(7)) * I)) / (S(8) * sqrt(S(490) + S(14) * sqrt(S(7)) * I)) + (S(3) / 8 - S(33) * sqrt(S(7)) * I / S(56)) / x + (S(3) / 8 + S(33) * sqrt(S(7)) * I / S(56)) / x + (S(-5) / 8 - S(9) * sqrt(S(7)) * I / S(56)) / x ** S(2) + (S(-5) / 8 + S(9) * sqrt(S(7)) * I / S(56)) / x ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + S(3) * x ** S(2) + x + S(9)) / ((x ** S(2) + S(1)) * (x ** S(2) + S(3))), x, ), x, log(x ** S(2) + S(3)) / S(2) + S(3) * atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) + x + S(3)) / ((x ** S(2) + S(1)) * (x ** S(2) + S(3))), x, ), x, log(x ** S(2) + S(3)) / S(2) + atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(3) * x ** S(3) - x ** S(2) + S(6) * x + S(-4)) / ((x ** S(2) + S(1)) * (x ** S(2) + S(2))), x, ), x, S(3) * log(x ** S(2) + S(1)) / S(2) - S(3) * atan(x) + sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(3) * x ** S(4) + S(1)) / ((x + S(-2)) * (x ** S(2) + S(1)) ** S(2)), x ), x, (S(2) * x / S(5) + S(-1) / 5) / (x ** S(2) + S(1)) - S(47) * log(-x + S(2)) / S(25) - S(14) * log(x ** S(2) + S(1)) / S(25) - S(46) * atan(x) / S(25), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(2) - S(9) * x + S(-9)) / (x ** S(3) - S(9) * x), x ), x, log(x) - log(-x + S(3)) + S(2) * log(x + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(5) + S(2) * x ** S(2) + S(1)) / (x ** S(3) - x), x), x, x ** S(3) / S(3) + x - log(x) + S(2) * log(-x + S(1)) + log(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x ** S(2) + S(3)) / (x * (x + S(-1)) ** S(2)), x), x, S(3) * log(x) - log(-x + S(1)) + S(5) / (-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(2) + S(-1)) / ((S(4) * x + S(-1)) * (x ** S(2) + S(1))), x ), x, -S(7) * log(-S(4) * x + S(1)) / S(34) + S(6) * log(x ** S(2) + S(1)) / S(17) + S(3) * atan(x) / S(17), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) - S(3) * x ** S(2) + S(2) * x + S(-3)) / (x ** S(2) + S(1)), x ), x, x ** S(2) / S(2) - S(3) * x + log(x ** S(2) + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) + S(6) * x ** S(3) + S(10) * x ** S(2) + x) / (x ** S(2) + S(6) * x + S(10)), x, ), x, x ** S(3) / S(3) + log(x ** S(2) + S(6) * x + S(10)) / S(2) - S(3) * atan(x + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(4) - S(3) * x ** S(3) - S(7) * x ** S(2) + S(27) * x + S(-18)), x, ), x, log(-x + S(1)) / S(8) - log(-x + S(2)) / S(5) + log(-x + S(3)) / S(12) - log(x + S(3)) / S(120), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(1)) / (x + S(-2)), x), x, x ** S(3) / S(3) + x ** S(2) + S(4) * x + S(9) * log(-x + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(3) * x ** S(3) - S(4) * x ** S(2) + S(3) * x) / (x ** S(2) + S(1)), x ), x, S(3) * x ** S(2) / S(2) - S(4) * x + S(4) * atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(3) * x + S(5)) / (x ** S(3) - x ** S(2) - x + S(1)), x), x, atanh(x) + S(4) / (-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) - x ** S(3) - x + S(-1)) / (x ** S(3) - x ** S(2)), x ), x, x ** S(2) / S(2) + S(2) * log(x) - S(2) * log(-x + S(1)) - S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) + x + S(2)) / (x ** S(4) + S(3) * x ** S(2) + S(2)), x, ), x, log(x ** S(2) + S(2)) / S(2) + atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( x ** S(5) - x ** S(4) + S(4) * x ** S(3) - S(4) * x ** S(2) + S(8) * x + S(-4) ) / (x ** S(2) + S(2)) ** S(3), x, ), x, log(x ** S(2) + S(2)) / S(2) - sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)) / S(2) - S(1) / (x ** S(2) + S(2)) ** S(2), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( ( x ** S(5) - x ** S(4) + S(4) * x ** S(3) - S(4) * x ** S(2) + S(8) * x + S(-4) ) / (x ** S(2) + S(2)) ** S(3), x, ), x, x ** S(2) / (S(4) * (x ** S(2) + S(2))) + x ** S(2) / (S(2) * (x ** S(2) + S(2)) ** S(2)) + log(x ** S(2) + S(2)) / S(2) - sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) - S(3) * x + S(-1)) / (x ** S(3) + x ** S(2) - S(2) * x), x ), x, log(x) / S(2) - log(-x + S(1)) + S(3) * log(x + S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) - S(2) * x ** S(3) + S(3) * x ** S(2) - x + S(3)) / (x ** S(3) - S(2) * x ** S(2) + S(3) * x), x, ), x, x ** S(2) / S(2) + log(x) - log(x ** S(2) - S(2) * x + S(3)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + x + S(-1)) / (x ** S(2) + S(1)) ** S(2), x), x, -x / (S(2) * (x ** S(2) + S(1))) + log(x ** S(2) + S(1)) / S(2) - atan(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) + S(8) * x ** S(3) - x ** S(2) + S(2) * x + S(1)) / ((x ** S(2) + x) * (x ** S(3) + S(1))), x, ), x, log(x) - S(2) * log(x + S(1)) + log(x ** S(2) - x + S(1)) - S(2) * sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x + S(1)) / S(3)) / S(3) - S(3) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) - S(5) * x + S(15)) / ((x ** S(2) + S(5)) * (x ** S(2) + S(2) * x + S(3))), x, ), x, log(x ** S(2) + S(2) * x + S(3)) / S(2) + S(5) * sqrt(S(2)) * atan(sqrt(S(2)) * (x + S(1)) / S(2)) / S(2) - sqrt(S(5)) * atan(sqrt(S(5)) * x / S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( x ** S(6) + S(7) * x ** S(5) + S(15) * x ** S(4) + S(32) * x ** S(3) + S(23) * x ** S(2) + S(25) * x + S(-3) ) / ((x ** S(2) + S(1)) ** S(2) * (x ** S(2) + x + S(2)) ** S(2)), x, ), x, log(x ** S(2) + S(1)) - log(x ** S(2) + x + S(2)) + S(1) / (x ** S(2) + x + S(2)) - S(3) / (x ** S(2) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x ** S(2) + S(1)) * (x ** S(2) + S(4))), x), x, -atan(x / S(2)) / S(6) + atan(x) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x ** S(3)) / (x ** S(2) + S(1)), x), x, a * atan(x) + b * x ** S(2) / S(2) - b * log(x ** S(2) + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + x) / ((x + S(4)) * (x ** S(2) + S(-4))), x), x, log(x + S(4)) - atanh(x / S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(4)) / ((x ** S(2) + S(1)) * (x ** S(2) + S(2))), x ), x, S(3) * atan(x) - sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) + S(3) * x ** S(2) - S(4) * x + S(5)) / ((x + S(-1)) ** S(2) * (x ** S(2) + S(1))), x, ), x, x + log(-x + S(1)) / S(2) + S(3) * log(x ** S(2) + S(1)) / S(4) + S(2) * atan(x) + S(5) / (S(2) * (-x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(4) + S(1)) / (x ** S(2) + S(2)), x), x, x ** S(3) / S(3) - S(2) * x + S(5) * sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(4) + S(2) * x + S(2)) / (x ** S(5) + x ** S(4)), x), x, log(x + S(1)) - S(2) / (S(3) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(2) - S(5) * x + S(-1)) / (x ** S(3) - S(2) * x ** S(2) - x + S(2)), x, ), x, S(2) * log(-x + S(1)) - log(-x + S(2)) + log(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x + S(2)) / (x ** S(4) + S(2) * x ** S(2) + S(1)), x ), x, x / (x ** S(2) + S(1)) + log(x ** S(2) + S(1)) / S(2) + atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) + S(2) * x + S(1)) / (x ** S(4) + S(2) * x ** S(2) + S(1)), x, ), x, log(x ** S(2) + S(1)) / S(2) + atan(x) - S(1) / (S(2) * (x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) + S(2) * x + S(1)) / (x ** S(4) + S(2) * x ** S(2) + S(1)), x, ), x, x ** S(2) / (S(2) * (x ** S(2) + S(1))) + log(x ** S(2) + S(1)) / S(2) + atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x + S(3)) / ((x ** S(2) + S(1)) * (x ** S(2) + S(2))), x ), x, S(2) * log(x ** S(2) + S(1)) - S(2) * log(x ** S(2) + S(2)) + S(3) * atan(x) - S(3) * sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(2)) / ((x ** S(2) + S(1)) * (x ** S(2) + S(4))), x), x, log(x ** S(2) + S(1)) / S(6) - log(x ** S(2) + S(4)) / S(6) - atan(x / S(2)) / S(3) + S(2) * atan(x) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) - x + S(2)) / (x ** S(2) - S(6) * x + S(-7)), x), x, x ** S(2) / S(2) + S(6) * x + S(169) * log(-x + S(7)) / S(4) - log(x + S(1)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(5) + S(-1)) / (x ** S(2) + S(-1)), x), x, x ** S(4) / S(4) + x ** S(2) / S(2) + log(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) - x ** S(2) + S(2) * x + S(5)) / (x ** S(2) + x + S(1)), x ), x, x ** S(2) / S(2) - S(2) * x + S(3) * log(x ** S(2) + x + S(1)) / S(2) + S(11) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) - S(2) * x ** S(3) + x + S(-3)) / (S(2) * x ** S(2) - S(8) * x + S(10)), x, ), x, x ** S(3) / S(6) + x ** S(2) / S(2) + S(3) * x / S(2) + S(3) * log(x ** S(2) - S(4) * x + S(5)) / S(4) - S(6) * atan(x + S(-2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + S(3) * x ** S(2) + S(2) * x + S(1)) / ((x + S(-3)) * (x + S(-2)) * (x + S(-1))), x, ), x, x + S(7) * log(-x + S(1)) / S(2) - S(25) * log(-x + S(2)) + S(61) * log(-x + S(3)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) - x ** S(3) + x ** S(2) - S(7) * x + S(2)) / (x ** S(3) + x ** S(2) - S(14) * x + S(-24)), x, ), x, x ** S(2) / S(2) - S(2) * x + S(13) * log(-x + S(4)) / S(3) - S(22) * log(x + S(2)) / S(3) + S(20) * log(x + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(2)) / (x * (x + S(-1)) ** S(2) * (x + S(1))), x), x, S(2) * log(x) - S(5) * log(-x + S(1)) / S(4) - S(3) * log(x + S(1)) / S(4) + S(3) / (S(2) * (-x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + x ** S(2) + S(3)) / (x ** S(2) + S(2)) ** S(2), x), x, (x / S(4) + S(1)) / (x ** S(2) + S(2)) + log(x ** S(2) + S(2)) / S(2) + S(5) * sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)) / S(8), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((x ** S(3) + x ** S(2) + S(3)) / (x ** S(2) + S(2)) ** S(2), x), x, x * (-x / S(2) + S(1) / 4) / (x ** S(2) + S(2)) + log(x ** S(2) + S(2)) / S(2) + S(5) * sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) - S(4) * x ** S(2) + S(70) * x + S(-35)) / ((x ** S(2) - S(10) * x + S(26)) * (x ** S(2) - S(2) * x + S(17))), x, ), x, S(1003) * log(x ** S(2) - S(10) * x + S(26)) / S(1025) + S(22) * log(x ** S(2) - S(2) * x + S(17)) / S(1025) - S(4607) * atan(x / S(4) + S(-1) / 4) / S(4100) + S(15033) * atan(x + S(-5)) / S(1025), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(2)) / ((x + S(-5)) * (x + S(-3)) * (x + S(4))), x ), x, -S(11) * log(-x + S(3)) / S(14) + S(3) * log(-x + S(5)) / S(2) + S(2) * log(x + S(4)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) / ((x + S(-1)) * (x ** S(2) + S(2))), x), x, x ** S(2) / S(2) + x + log(-x + S(1)) / S(3) - S(2) * log(x ** S(2) + S(2)) / S(3) - S(2) * sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(2) + S(7) * x + S(-1)) / (x ** S(3) + x ** S(2) - x + S(-1)), x, ), x, S(2) * log(-x + S(1)) - S(3) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x + S(1)) / (x ** S(3) - S(3) * x ** S(2) + S(3) * x + S(-1)), x ), x, -((S(2) * x + S(1)) ** S(2)) / (S(6) * (-x + S(1)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + S(7) * x ** S(2) - S(5) * x + S(5)) / ((x + S(-1)) ** S(2) * (x + S(1)) ** S(3)), x, ), x, -S(2) / (x + S(1)) ** S(2) + S(1) / (-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(3) * x ** S(2) + S(3) * x + S(1)) / (x ** S(3) + S(2) * x ** S(2) + S(2) * x + S(1)), x, ), x, log(x + S(1)) + log(x ** S(2) + x + S(1)) - S(2) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(2) * x + S(-1)) / (S(2) * x ** S(3) + S(3) * x ** S(2) - S(2) * x), x, ), x, log(x) / S(2) + log(-S(2) * x + S(1)) / S(10) - log(x + S(2)) / S(10), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) - S(2) * x ** S(2) + S(4) * x + S(1)) / (x ** S(3) - x ** S(2) - x + S(1)), x, ), x, x ** S(2) / S(2) + x - S(2) * atanh(x) + S(2) / (-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x ** S(2) - x + S(4)) / (x ** S(3) + S(4) * x), x), x, log(x) + log(x ** S(2) + S(4)) / S(2) - atan(x / S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) + S(1)) / (x * (x + S(-1)) * (x ** S(2) + S(1)) ** S(3) * (x ** S(2) + x + S(1))), x, ), x, S(3) * x / (S(16) * (x ** S(2) + S(1))) - (-S(3) * x / S(8) + S(3) / 8) / (x ** S(2) + S(1)) + (x / S(8) + S(1) / 8) / (x ** S(2) + S(1)) ** S(2) - log(x) + log(-x + S(1)) / S(8) + S(15) * log(x ** S(2) + S(1)) / S(16) - log(x ** S(2) + x + S(1)) / S(2) + S(7) * atan(x) / S(16) - sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(3)) + S(2) * x ** S(2) - S(3) * x + S(1)) / (x ** S(2) + S(1)) ** S(2), x, ), x, (-x / S(2) + S(1)) / (x ** S(2) + S(1)) - log(x ** S(2) + S(1)) / S(2) + S(3) * atan(x) / S(2), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (-(x ** S(3)) + S(2) * x ** S(2) - S(3) * x + S(1)) / (x ** S(2) + S(1)) ** S(2), x, ), x, -x * (S(2) * x + S(1)) / (S(2) * (x ** S(2) + S(1))) - log(x ** S(2) + S(1)) / S(2) + S(3) * atan(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(3)) + S(2) * x ** S(2) - S(3) * x + S(1)) / (x * (x ** S(2) + S(1)) ** S(2)), x, ), x, (-x + S(-1) / 2) / (x ** S(2) + S(1)) + log(x) - log(x ** S(2) + S(1)) / S(2) - S(2) * atan(x), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (-(x ** S(3)) + S(2) * x ** S(2) - S(3) * x + S(1)) / (x * (x ** S(2) + S(1)) ** S(2)), x, ), x, x * (x / S(2) + S(-1)) / (x ** S(2) + S(1)) + log(x) - log(x ** S(2) + S(1)) / S(2) - S(2) * atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) + x ** S(3) - x ** S(2) - x + S(1)) / (x ** S(3) - x), x ), x, x ** S(2) / S(2) + x - log(x) + log(-(x ** S(2)) + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) - S(4) * x ** S(2) + S(2)) / ((x ** S(2) + S(1)) * (x ** S(2) + S(2))), x, ), x, -log(x ** S(2) + S(1)) / S(2) + log(x ** S(2) + S(2)) + S(6) * atan(x) - S(5) * sqrt(S(2)) * atan(sqrt(S(2)) * x / S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) + x ** S(2) + S(1)) / ((x ** S(2) + S(1)) * (x ** S(2) + S(4)) ** S(2)), x, ), x, -S(13) * x / (S(24) * (x ** S(2) + S(4))) + S(25) * atan(x / S(2)) / S(144) + atan(x) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) + S(1)) / (x ** S(4) + x ** S(3) + S(2) * x ** S(2)), x, ), x, -log(x) / S(4) + S(5) * log(x ** S(2) + x + S(2)) / S(8) + sqrt(S(7)) * atan(sqrt(S(7)) * (S(2) * x + S(1)) / S(7)) / S(28) - S(1) / (S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) - S(12) * x + S(1)) / (x ** S(2) + x + S(-12)), x ), x, x ** S(2) / S(2) - S(2) * atanh(S(2) * x / S(7) + S(1) / 7) / S(7), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) - S(12) * x + S(1)) / (x ** S(2) + x + S(-12)), x ), x, x ** S(2) / S(2) + log(-x + S(3)) / S(7) - log(x + S(4)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(6) * x ** S(2) + S(5) * x + S(-3)) / (x ** S(3) + S(2) * x ** S(2) - S(3) * x), x, ), x, log(x) + S(2) * log(-x + S(1)) + S(3) * log(x + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(5) * x ** S(2) + S(3) * x + S(-2)) / (x ** S(3) + S(2) * x ** S(2)), x ), x, S(2) * log(x) + S(3) * log(x + S(2)) + S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(4) * x ** S(2) - S(2) * x + S(18)) / (x ** S(3) + S(4) * x ** S(2) + x + S(-6)), x, ), x, log(-x + S(1)) - S(2) * log(x + S(2)) - S(3) * log(x + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) - S(2) * x ** S(2) + x + S(1)) / (x ** S(4) + S(5) * x ** S(2) + S(4)), x, ), x, log(x ** S(2) + S(4)) / S(2) - S(3) * atan(x / S(2)) / S(2) + atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x ** S(3) - S(27) * x ** S(2) + S(5) * x + S(-32)) / ( S(30) * x ** S(5) - S(13) * x ** S(4) + S(50) * x ** S(3) - S(286) * x ** S(2) - S(299) * x + S(-70) ), x, ), x, -S(3146) * log(-S(3) * x + S(7)) / S(80155) - S(334) * log(S(2) * x + S(1)) / S(323) + S(4822) * log(S(5) * x + S(2)) / S(4879) + S(11049) * log(x ** S(2) + x + S(5)) / S(260015) + S(3988) * sqrt(S(19)) * atan(sqrt(S(19)) * (S(2) * x + S(1)) / S(19)) / S(260015), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(12) * x ** S(5) - S(7) * x ** S(3) - S(13) * x ** S(2) + S(8)) / ( S(100) * x ** S(6) - S(80) * x ** S(5) + S(116) * x ** S(4) - S(80) * x ** S(3) + S(41) * x ** S(2) - S(20) * x + S(4) ), x, ), x, (-S(251) * x / S(726) + S(-313) / 1452) / (S(2) * x ** S(2) + S(1)) - S(59096) * log(-S(5) * x + S(2)) / S(99825) + S(2843) * log(S(2) * x ** S(2) + S(1)) / S(7986) + S(503) * sqrt(S(2)) * atan(sqrt(S(2)) * x) / S(15972) + S(5828) / (S(9075) * (-S(5) * x + S(2))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (S(12) * x ** S(5) - S(7) * x ** S(3) - S(13) * x ** S(2) + S(8)) / ( S(100) * x ** S(6) - S(80) * x ** S(5) + S(116) * x ** S(4) - S(80) * x ** S(3) + S(41) * x ** S(2) - S(20) * x + S(4) ), x, ), x, (-S(251) * x / S(726) + S(-313) / 1452) / (S(2) * x ** S(2) + S(1)) - S(59096) * log(-S(5) * x + S(2)) / S(99825) + S(2843) * log(S(2) * x ** S(2) + S(1)) / S(7986) + S(503) * sqrt(S(2)) * atan(sqrt(S(2)) * x) / S(15972) + S(5828) / (S(9075) * (-S(5) * x + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(4) + S(9)) / (x ** S(2) * (x ** S(2) + S(9))), x), x, x - S(10) * atan(x / S(3)) / S(3) - S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(4) + S(2) * x) / (x ** S(2) + S(1)), x), x, x ** S(3) / S(3) - x + log(x ** S(2) + S(1)) + atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) - x) / ((x + S(-1)) ** S(2) * (x ** S(2) + S(1))), x), x, log(-x + S(1)) + atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + S(5) * x + S(2)) / (x ** S(2) + x + S(1)), x, ), x, x ** S(2) + x + log(x ** S(2) + x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(3) * x ** S(3) - S(5) * x ** S(2) - S(4) * x + S(3)) / (x ** S(3) * (x ** S(2) + x + S(-1))), x, ), x, S(3) * log(x) - (sqrt(S(5)) + S(15)) * log(S(2) * x + S(1) + sqrt(S(5))) / S(10) - (-sqrt(S(5)) + S(15)) * log(S(2) * x - sqrt(S(5)) + S(1)) / S(10) - S(1) / x + S(3) / (S(2) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(5) * x ** S(2) + S(8) * x + S(4)) / (x ** S(2) + S(2) * x + S(2)) ** S(2), x, ), x, log(x ** S(2) + S(2) * x + S(2)) - atan(x + S(1)) - S(1) / (x ** S(2) + S(2) * x + S(2)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(5) * x ** S(2) + S(8) * x + S(4)) / (x ** S(2) + S(2) * x + S(2)) ** S(2), x, ), x, x * (x + S(2)) / (S(2) * (x ** S(2) + S(2) * x + S(2))) + log(x ** S(2) + S(2) * x + S(2)) - atan(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) * (x + S(-1)) ** S(4) / (x ** S(2) + S(1)), x), x, x ** S(7) / S(7) - S(2) * x ** S(6) / S(3) + x ** S(5) - S(4) * x ** S(3) / S(3) + S(4) * x - S(4) * atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x ** S(2) - S(20) * x) / (x ** S(4) - S(10) * x ** S(2) + S(9)), x ), x, log(-x + S(1)) - log(-x + S(3)) / S(2) + S(3) * log(x + S(1)) / S(2) - S(2) * log(x + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x ** S(3) + x + S(-1)) / (x ** S(2) * (x + S(-1)) * (x ** S(2) + S(1))), x, ), x, S(2) * log(-x + S(1)) - log(x ** S(2) + S(1)) + atan(x) - S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) - S(4) * x ** S(3) + S(2) * x ** S(2) - S(3) * x + S(1)) / (x ** S(2) + S(1)) ** S(3), x, ), x, atan(x) - (S(4) * x ** S(2) + S(3)) ** S(2) / (S(4) * (x ** S(2) + S(1)) ** S(2)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (x ** S(4) - S(4) * x ** S(3) + S(2) * x ** S(2) - S(3) * x + S(1)) / (x ** S(2) + S(1)) ** S(3), x, ), x, x ** S(2) / (S(4) * (x ** S(2) + S(1)) ** S(2)) + atan(x) + S(7) / (S(4) * (x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) - S(4) * x ** S(3) + S(2) * x ** S(2) - S(3) * x + S(1)) / (x ** S(6) + S(3) * x ** S(4) + S(3) * x ** S(2) + S(1)), x, ), x, atan(x) + S(2) / (x ** S(2) + S(1)) - S(1) / (S(4) * (x ** S(2) + S(1)) ** S(2)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (x ** S(4) - S(4) * x ** S(3) + S(2) * x ** S(2) - S(3) * x + S(1)) / (x ** S(6) + S(3) * x ** S(4) + S(3) * x ** S(2) + S(1)), x, ), x, x ** S(2) / (S(4) * (x ** S(2) + S(1)) ** S(2)) + atan(x) + S(7) / (S(4) * (x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(2) * x ** S(2) + x + S(1)) / (x ** S(4) + x ** S(3) + x ** S(2)), x, ), x, log(x ** S(2) + x + S(1)) - S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ((x ** S(2) - S(4) * x + S(4)) * (x ** S(2) - S(4) * x + S(5))), x ), x, -atan(x + S(-2)) + S(1) / (-x + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + x + S(-3)) / (x ** S(2) * (x + S(-3))), x), x, log(-x + S(3)) - S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(4) * x ** S(2) + x + S(1)) / (S(4) * x ** S(3) + x), x), x, log(x) + atan(S(2) * x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(3) * x ** S(2) - x + S(1)) / (x ** S(3) - x ** S(2)), x), x, S(3) * log(-x + S(1)) + S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(3) * x + S(4)) / (x ** S(2) + x), x), x, x + S(4) * log(x) - S(2) * log(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(3) * x ** S(2) + x + S(4)) / (x ** S(3) + x), x), x, S(4) * log(x) - log(x ** S(2) + S(1)) / S(2) + atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(8) * x ** S(2) - S(4) * x + S(7)) / ((S(4) * x + S(1)) * (x ** S(2) + S(1))), x, ), x, S(2) * log(S(4) * x + S(1)) - atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / ((x + S(-1)) * (x ** S(2) + S(2) * x + S(1))), x), x, log(-x + S(1)) / S(4) + S(3) * log(x + S(1)) / S(4) + S(1) / (S(2) * (x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(3) * x + S(-4)) / ((S(2) * x + S(-1)) ** S(2) * (S(2) * x + S(3))), x, ), x, S(41) * log(-S(2) * x + S(1)) / S(128) - S(25) * log(S(2) * x + S(3)) / S(128) - S(9) / (S(32) * (-S(2) * x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(3) * x ** S(2) - S(4) * x + S(5)) / ((x + S(-1)) * (x ** S(2) + S(1))), x ), x, S(2) * log(-x + S(1)) + log(x ** S(2) + S(1)) / S(2) - S(3) * atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) - S(2) * x + S(-1)) / ((x + S(-1)) ** S(2) * (x ** S(2) + S(1))), x, ), x, log(-x + S(1)) - log(x ** S(2) + S(1)) / S(2) + atan(x) + S(1) / (x + S(-1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + S(5)) / ((x ** S(2) - S(6) * x + S(10)) * (x ** S(2) - x + S(1) / 2)), x, ), x, S(56) * log(x ** S(2) - S(6) * x + S(10)) / S(221) + S(109) * log(S(2) * x ** S(2) - S(2) * x + S(1)) / S(442) + S(1026) * atan(x + S(-3)) / S(221) + S(261) * atan(S(2) * x + S(-1)) / S(221), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(3) * x + S(4)) / ((x + S(-3)) * (x + S(-2)) * (x + S(-1))), x ), x, S(4) * log(-x + S(1)) - S(14) * log(-x + S(2)) + S(11) * log(-x + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(16) * x + S(1)) / ((x + S(5)) ** S(2) * (S(2) * x + S(-3)) * (x ** S(2) + x + S(1))), x, ), x, S(200) * log(-S(2) * x + S(3)) / S(3211) + S(2731) * log(x + S(5)) / S(24843) - S(481) * log(x ** S(2) + x + S(1)) / S(5586) + S(451) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(8379) - S(79) / (S(273) * (x + S(5))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(-1)) / (x ** S(2) + x + S(1)), x), x, x ** S(2) / S(2) - x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(-3)) / (x ** S(2) - S(6) * x + S(-7)), x), x, x ** S(2) / S(2) + S(6) * x + S(85) * log(-x + S(7)) / S(2) + log(x + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(1)) / (x ** S(2) + S(4) * x + S(13)) ** S(2), x), x, (S(47) * x / S(18) + S(67) / 18) / (x ** S(2) + S(4) * x + S(13)) + log(x ** S(2) + S(4) * x + S(13)) / S(2) - S(61) * atan(x / S(3) + S(2) / 3) / S(54), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(3) * x ** S(5) - S(10) * x ** S(4) + S(21) * x ** S(3) - S(42) * x ** S(2) + S(36) * x + S(-32) ) / (x * (x ** S(2) + S(1)) * (x ** S(2) + S(4)) ** S(2)), x, ), x, -S(2) * log(x) + log(x ** S(2) + S(4)) + atan(x / S(2)) / S(2) + S(2) * atan(x) + S(1) / (x ** S(2) + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(9) + S(7) * x ** S(5) + x ** S(4) + S(-1)) / (x ** S(8) + S(6) * x ** S(4) + S(-7)), x, ), x, x ** S(2) / S(2) - sqrt(S(2)) * S(7) ** (S(1) / 4) * log(x ** S(2) - sqrt(S(2)) * S(7) ** (S(1) / 4) * x + sqrt(S(7))) / S(56) + sqrt(S(2)) * S(7) ** (S(1) / 4) * log(x ** S(2) + sqrt(S(2)) * S(7) ** (S(1) / 4) * x + sqrt(S(7))) / S(56) + sqrt(S(2)) * S(7) ** (S(1) / 4) * atan(sqrt(S(2)) * S(7) ** (S(3) / 4) * x / S(7) + S(-1)) / S(28) + sqrt(S(2)) * S(7) ** (S(1) / 4) * atan(sqrt(S(2)) * S(7) ** (S(3) / 4) * x / S(7) + S(1)) / S(28) - atanh(x ** S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(6) + x ** S(3) + S(1)) / (x ** S(5) + x), x), x, x ** S(2) / S(2) + log(x) - log(x ** S(4) + S(1)) / S(4) + sqrt(S(2)) * log(x ** S(2) - sqrt(S(2)) * x + S(1)) / S(8) - sqrt(S(2)) * log(x ** S(2) + sqrt(S(2)) * x + S(1)) / S(8) - atan(x ** S(2)) / S(2) + sqrt(S(2)) * atan(sqrt(S(2)) * x + S(-1)) / S(4) + sqrt(S(2)) * atan(sqrt(S(2)) * x + S(1)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(1)) / (x ** S(2) - x), x), x, x - log(x) + S(2) * log(-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(1)) / (x ** S(3) - x), x), x, x - log(x) + log(-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(1)) / (x ** S(3) - x ** S(2)), x), x, x - log(x) + S(2) * log(-x + S(1)) + S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(5) + S(-1)) / (x ** S(3) - x), x), x, x ** S(3) / S(3) + x + log(x) - log(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(4) + S(1)) / (x ** S(5) + x ** S(3)), x), x, -log(x) + log(x ** S(2) + S(1)) - S(1) / (S(2) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(1)) / (x ** S(3) + S(2) * x ** S(2) + x), x), x, log(x) + S(2) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(5) + S(1)) / (x ** S(3) - S(3) * x ** S(2) - S(10) * x), x ), x, x ** S(3) / S(3) + S(3) * x ** S(2) / S(2) + S(19) * x - log(x) / S(10) + S(3126) * log(-x + S(5)) / S(35) - S(31) * log(x + S(2)) / S(14), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x ** S(2) - S(5) * x + S(15)) / ((x ** S(2) + S(5)) * (x ** S(2) + S(2) * x + S(3))), x, ), x, log(x ** S(2) + S(2) * x + S(3)) / S(2) + S(5) * sqrt(S(2)) * atan(sqrt(S(2)) * (x + S(1)) / S(2)) / S(2) - sqrt(S(5)) * atan(sqrt(S(5)) * x / S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ((x ** S(2) + S(1)) * (S(10) * x / (x ** S(2) + S(1)) + S(3))), x ), x, -log(x + S(3)) / S(8) + log(S(3) * x + S(1)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (S(15) * x + S(13) + S(2) / x), x), x, x ** S(3) / S(45) - S(13) * x ** S(2) / S(450) + S(139) * x / S(3375) - S(16) * log(S(3) * x + S(2)) / S(567) + log(S(5) * x + S(1)) / S(4375), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (S(15) * x + S(13) + S(2) / x), x), x, x ** S(2) / S(30) - S(13) * x / S(225) + S(8) * log(S(3) * x + S(2)) / S(189) - log(S(5) * x + S(1)) / S(875), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (S(15) * x + S(13) + S(2) / x), x), x, x / S(15) - S(4) * log(S(3) * x + S(2)) / S(63) + log(S(5) * x + S(1)) / S(175), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(15) * x + S(13) + S(2) / x), x), x, S(2) * log(S(3) * x + S(2)) / S(21) - log(S(5) * x + S(1)) / S(35), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (S(15) * x + S(13) + S(2) / x)), x), x, -log(S(3) * x + S(2)) / S(7) + log(S(5) * x + S(1)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (S(15) * x + S(13) + S(2) / x)), x), x, log(x) / S(2) + S(3) * log(S(3) * x + S(2)) / S(14) - S(5) * log(S(5) * x + S(1)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * (S(15) * x + S(13) + S(2) / x)), x), x, -S(13) * log(x) / S(4) - S(9) * log(S(3) * x + S(2)) / S(28) + S(25) * log(S(5) * x + S(1)) / S(7) - S(1) / (S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(4) * (S(15) * x + S(13) + S(2) / x)), x), x, S(139) * log(x) / S(8) + S(27) * log(S(3) * x + S(2)) / S(56) - S(125) * log(S(5) * x + S(1)) / S(7) + S(13) / (S(4) * x) - S(1) / (S(4) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(5) * (S(15) * x + S(13) + S(2) / x)), x), x, -S(1417) * log(x) / S(16) - S(81) * log(S(3) * x + S(2)) / S(112) + S(625) * log(S(5) * x + S(1)) / S(7) - S(139) / (S(8) * x) + S(13) / (S(8) * x ** S(2)) - S(1) / (S(6) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(2)) + S(1)) / (a + b * (-(x ** S(2)) + S(1)) ** S(4)), x ), x, -atanh(b ** (S(1) / 8) * x / sqrt(b ** (S(1) / 4) + I * (-a) ** (S(1) / 4))) / ( S(4) * b ** (S(3) / 8) * sqrt(-a) * sqrt(b ** (S(1) / 4) + I * (-a) ** (S(1) / 4)) ) + atanh(b ** (S(1) / 8) * x / sqrt(b ** (S(1) / 4) + (-a) ** (S(1) / 4))) / ( S(4) * b ** (S(3) / 8) * sqrt(-a) * sqrt(b ** (S(1) / 4) + (-a) ** (S(1) / 4)) ) + atan(b ** (S(1) / 8) * x / sqrt(-(b ** (S(1) / 4)) + I * (-a) ** (S(1) / 4))) / ( S(4) * b ** (S(3) / 8) * sqrt(-a) * sqrt(-(b ** (S(1) / 4)) + I * (-a) ** (S(1) / 4)) ) - atan(b ** (S(1) / 8) * x / sqrt(-(b ** (S(1) / 4)) + (-a) ** (S(1) / 4))) / ( S(4) * b ** (S(3) / 8) * sqrt(-a) * sqrt(-(b ** (S(1) / 4)) + (-a) ** (S(1) / 4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(2)) + S(1)) / (a + b * (x ** S(2) + S(-1)) ** S(4)), x ), x, -atanh(b ** (S(1) / 8) * x / sqrt(b ** (S(1) / 4) + I * (-a) ** (S(1) / 4))) / ( S(4) * b ** (S(3) / 8) * sqrt(-a) * sqrt(b ** (S(1) / 4) + I * (-a) ** (S(1) / 4)) ) + atanh(b ** (S(1) / 8) * x / sqrt(b ** (S(1) / 4) + (-a) ** (S(1) / 4))) / ( S(4) * b ** (S(3) / 8) * sqrt(-a) * sqrt(b ** (S(1) / 4) + (-a) ** (S(1) / 4)) ) + atan(b ** (S(1) / 8) * x / sqrt(-(b ** (S(1) / 4)) + I * (-a) ** (S(1) / 4))) / ( S(4) * b ** (S(3) / 8) * sqrt(-a) * sqrt(-(b ** (S(1) / 4)) + I * (-a) ** (S(1) / 4)) ) - atan(b ** (S(1) / 8) * x / sqrt(-(b ** (S(1) / 4)) + (-a) ** (S(1) / 4))) / ( S(4) * b ** (S(3) / 8) * sqrt(-a) * sqrt(-(b ** (S(1) / 4)) + (-a) ** (S(1) / 4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(4) * x ** S(5) + S(-1)) / (x ** S(5) + x + S(1)) ** S(2), x), x, -x / (x ** S(5) + x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( -a * d - S(2) * a * e * x - S(3) * a * f * x ** S(2) + b * c - b * e * x ** S(2) - S(2) * b * f * x ** S(3) ) / (c + d * x + e * x ** S(2) + f * x ** S(3)) ** S(2), x, ), x, a / (c + d * x + e * x ** S(2) + f * x ** S(3)) + b * x / (c + d * x + e * x ** S(2) + f * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( -S(39) * x ** S(8) + S(26) * x ** S(6) + S(24) * x ** S(5) + S(174) * x ** S(4) - S(18) * x ** S(2) - S(40) * x + S(9) ) / (x ** S(4) + S(2) * x ** S(2) + S(3)) ** S(3), x, ), x, S(13) * x / (x ** S(4) + S(2) * x ** S(2) + S(3)) + (-S(26) * x ** S(3) - S(4) * x ** S(2) - S(36) * x + S(2)) / (x ** S(4) + S(2) * x ** S(2) + S(3)) ** S(2), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( ( -S(39) * x ** S(8) + S(26) * x ** S(6) + S(24) * x ** S(5) + S(174) * x ** S(4) - S(18) * x ** S(2) - S(40) * x + S(9) ) / (x ** S(4) + S(2) * x ** S(2) + S(3)) ** S(3), x, ), x, x * (-S(2) * x ** S(3) - S(4) * x + S(117)) / (S(9) * (x ** S(4) + S(2) * x ** S(2) + S(3))) - S(2) * x * (x ** S(3) + S(39) * x ** S(2) + S(8) * x + S(54)) / (S(3) * (x ** S(4) + S(2) * x ** S(2) + S(3)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(30) * x ** S(9) - S(8) * x ** S(7) - S(15) * x ** S(6) - S(140) * x ** S(5) + S(34) * x ** S(4) - S(12) * x ** S(3) - S(5) * x ** S(2) + S(36) * x + S(-15) ) / (x ** S(4) + x + S(3)) ** S(4), x, ), x, -S(5) * x ** S(6) / (x ** S(4) + x + S(3)) ** S(3) + x ** S(4) / (x ** S(4) + x + S(3)) ** S(3) + S(5) * x ** S(2) / (x ** S(4) + x + S(3)) ** S(3) - S(3) * x / (x ** S(4) + x + S(3)) ** S(3) + S(2) / (x ** S(4) + x + S(3)) ** S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(30) * x / (x ** S(4) + x + S(3)) ** S(2) + (-S(8) * x ** S(3) - S(75) * x ** S(2) - S(320) * x + S(42)) / (x ** S(4) + x + S(3)) ** S(3) + (S(57) * x ** S(3) + S(360) * x ** S(2) + S(684) * x + S(-141)) / (x ** S(4) + x + S(3)) ** S(4), x, ), x, (-S(5) * x ** S(6) + x ** S(4) + S(5) * x ** S(2) - S(3) * x + S(2)) / (x ** S(4) + x + S(3)) ** S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( -(S(12) * x ** S(3) + S(3)) * (-S(5) * x ** S(6) + x ** S(4) + S(5) * x ** S(2) - S(3) * x + S(2)) / (x ** S(4) + x + S(3)) ** S(4) + (-S(30) * x ** S(5) + S(4) * x ** S(3) + S(10) * x + S(-3)) / (x ** S(4) + x + S(3)) ** S(3), x, ), x, (-S(5) * x ** S(6) + x ** S(4) + S(5) * x ** S(2) - S(3) * x + S(2)) / (x ** S(4) + x + S(3)) ** S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(-1)) / (x ** S(2) - x + S(1)), x), x, log(x ** S(2) - x + S(1)) / S(2) + sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(-1)) / (x ** S(3) + S(1)), x), x, log(x ** S(2) - x + S(1)) / S(2) + sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(3) * x + S(-4)) / (x ** S(2) - S(2) * x + S(4)), x), x, S(3) * log(x ** S(2) - S(2) * x + S(4)) / S(2) + sqrt(S(3)) * atan(sqrt(S(3)) * (-x + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(3) * x ** S(2) + S(2) * x + S(-8)) / (x ** S(3) + S(8)), x), x, S(3) * log(x ** S(2) - S(2) * x + S(4)) / S(2) + sqrt(S(3)) * atan(sqrt(S(3)) * (-x + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(4) * x + S(4)) / (x ** S(2) * (x ** S(2) + S(1))), x), x, S(4) * log(x) - S(2) * log(x ** S(2) + S(1)) - S(4) * atan(x) - S(4) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(8) * x + S(24)) / (x * (x ** S(2) + S(-4))), x), x, -S(6) * log(x) + S(5) * log(-x + S(2)) + log(x + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(-1)) / (x ** S(3) - S(2) * x), x), x, log(x) / S(2) + log(-(x ** S(2)) + S(2)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(1)) / (x ** S(3) + S(3) * x), x), x, log(x) / S(3) + log(x ** S(2) + S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + S(3) * b * x ** S(2)) / (a * x + b * x ** S(3)), x), x, log(x) + log(a + b * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(4) * x + S(-2)) / (x ** S(3) - x), x), x, S(2) * log(x) + log(-x + S(1)) - S(3) * log(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(4)) / (x ** S(3) + S(4) * x), x), x, log(x) - log(x ** S(2) + S(4)) / S(2) + atan(x / S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x ** S(3) - x) / (x ** S(4) - x ** S(2) + S(1)), x), x, log(x ** S(4) - x ** S(2) + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(-3)) / (x ** S(3) + S(3) * x ** S(2) + S(2) * x), x), x, -S(3) * log(x) / S(2) + S(4) * log(x + S(1)) - S(5) * log(x + S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x + S(2)) / (x ** S(4) + S(2) * x ** S(3) + x ** S(2)), x ), x, -S(2) / (x * (x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(1)) / (x ** S(3) + x ** S(2) - S(6) * x), x), x, -log(x) / S(6) + S(3) * log(-x + S(2)) / S(10) - S(2) * log(x + S(3)) / S(15), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(4) * x ** S(2)) / (x ** S(3) + x), x), x, x + S(2) * log(x ** S(2) + S(1)) - atan(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x ** S(3) + x) / (x ** S(4) + x ** S(2)) ** S(3), x), x, -S(1) / (S(4) * x ** S(4) * (x ** S(2) + S(1)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a * x ** S(2) + b * x ** S(3)) / (c * x ** S(2) + d * x ** S(3)), x ), x, b * x / d - (-a * d + b * c) * log(c + d * x) / d ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + x) / (x ** S(3) - x ** S(2) - S(2) * x), x), x, log(-x + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(5) * x ** S(2) + S(1)) / (x ** S(3) * (x ** S(2) + S(1))), x ), x, -S(6) * log(x) + S(3) * log(x ** S(2) + S(1)) - S(1) / (S(2) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(2) * x / ((x + S(-1)) * (x ** S(2) + S(5))), x), x, log(-x + S(1)) / S(3) - log(x ** S(2) + S(5)) / S(6) + sqrt(S(5)) * atan(sqrt(S(5)) * x / S(5)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(2)) / (x + S(2)), x), x, x ** S(2) / S(2) - S(2) * x + S(6) * log(x + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(-3)) * (x ** S(2) + S(4))), x), x, log(-x + S(3)) / S(13) - log(x ** S(2) + S(4)) / S(26) - S(3) * atan(x / S(2)) / S(26), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(3) * x ** S(6) + S(-2)) / (x * (S(2) * x ** S(6) + S(5))), x), x, -S(2) * log(x) / S(5) + S(19) * log(S(2) * x ** S(6) + S(5)) / S(60), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x + S(3)) / ((x + S(-2)) * (x + S(5))), x), x, log(-x + S(2)) + log(x + S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) / (x ** S(4) + S(5) * x ** S(2) + S(4)), x), x, x - S(8) * atan(x / S(2)) / S(3) + atan(x) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ((x + S(1)) * (x + S(2)) ** S(2) * (x + S(3)) ** S(3)), x ), x, log(x + S(1)) / S(8) + S(2) * log(x + S(2)) - S(17) * log(x + S(3)) / S(8) + S(5) / (S(4) * (x + S(3))) + S(1) / (S(4) * (x + S(3)) ** S(2)) + S(1) / (x + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (x ** S(2) + S(-1)), x), x, log(-(x ** S(2)) + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(-1)) ** (S(-2)), x), x, x / (S(2) * (-(x ** S(2)) + S(1))) + atanh(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (x ** S(2) + S(1)) ** S(2), x), x, -x / (S(2) * (x ** S(2) + S(1))) + atan(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(3) * x + S(2)), x), x, log(S(3) * x + S(2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a ** S(2) + x ** S(2)), x), x, atan(x / a) / a, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * x ** S(2)), x), x, atan(sqrt(b) * x / sqrt(a)) / (sqrt(a) * sqrt(b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) - x + S(2)), x), x, -S(2) * sqrt(S(7)) * atan(sqrt(S(7)) * (-S(2) * x + S(1)) / S(7)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (-(x ** S(2)) + S(4)) ** S(2), x), x, x ** S(7) / S(7) - S(8) * x ** S(5) / S(5) + S(16) * x ** S(3) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (-(x ** S(3)) + S(1)) ** S(2), x), x, x ** S(8) / S(8) - S(2) * x ** S(5) / S(5) + x ** S(2) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(5) * x ** S(2) + S(-4)) / x ** S(2), x), x, x ** S(2) / S(2) + S(5) * x + S(4) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(-1)) / (S(3) * x ** S(2) - S(4) * x + S(3)), x), x, log(S(3) * x ** S(2) - S(4) * x + S(3)) / S(6) + sqrt(S(5)) * atan(sqrt(S(5)) * (-S(3) * x + S(2)) / S(5)) / S(15), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(2)) ** S(2), x), x, x ** S(7) / S(7) + x ** S(4) + S(4) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(-4)) / (x + S(2)), x), x, x ** S(2) / S(2) - S(2) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(2)) * (x ** S(2) + S(1))), x), x, log(x + S(2)) / S(5) - log(x ** S(2) + S(1)) / S(10) + S(2) * atan(x) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(1)) * (x ** S(2) + S(1))), x), x, log(x + S(1)) / S(2) - log(x ** S(2) + S(1)) / S(4) + atan(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((x + S(1)) * (x ** S(2) + S(1))), x), x, -log(x + S(1)) / S(2) + log(x ** S(2) + S(1)) / S(4) + atan(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(2) * x) / (x + S(1)) ** S(2), x), x, (x + S(2)) ** S(2) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(-10)) / (S(2) * x ** S(4) + S(9) * x ** S(2) + S(4)), x ), x, atan(x / S(2)) - S(3) * sqrt(S(2)) * atan(sqrt(S(2)) * x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(5) * x + S(31)) / (S(3) * x ** S(2) - S(4) * x + S(11)), x), x, S(5) * log(S(3) * x ** S(2) - S(4) * x + S(11)) / S(6) - S(103) * sqrt(S(29)) * atan(sqrt(S(29)) * (-S(3) * x + S(2)) / S(29)) / S(87), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + x ** S(2) + S(-2)) / x ** S(4), x), x, log(x) - S(1) / x + S(2) / (S(3) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + x + S(1)) / x ** S(2), x), x, x ** S(2) / S(2) + log(x) - S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(-2)) / (x * (x ** S(2) + S(2))), x), x, -log(x) + log(x ** S(2) + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(-3)) * (S(4) * x ** S(2) + S(-7)), x), x, x ** S(4) - S(4) * x ** S(3) - S(7) * x ** S(2) / S(2) + S(21) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(7) * x + S(-2)) ** S(3), x), x, (-S(7) * x + S(2)) ** S(4) / S(28), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(4) * x ** S(2) + S(-7)) / (S(2) * x + S(3)), x), x, x ** S(2) - S(3) * x + log(S(2) * x + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(1)) / (x ** S(2) * (x + S(-1))), x), x, -S(2) * log(x) + S(2) * log(-x + S(1)) + S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(4) + S(4) * x ** S(3) + S(4) * x ** S(2)), x), x, atanh(x + S(1)) / S(2) - S(1) / (S(4) * (x + S(2))) - S(1) / (S(4) * x), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(S(1) / (x ** S(4) + S(4) * x ** S(3) + S(4) * x ** S(2)), x), x, -log(x) / S(4) + log(x + S(2)) / S(4) - S(1) / (S(4) * (x + S(2))) - S(1) / (S(4) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(1)) / (x + S(1)), x), x, x ** S(2) / S(2) - x + S(2) * log(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) - S(3) * x ** S(2) + S(3) * x + S(-1)) / x ** S(2), x ), x, x ** S(2) / S(2) - S(3) * x + S(3) * log(x) + S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x + S(3) / 2 + sqrt(S(37)) / S(2)) * (x - sqrt(S(37)) / S(2) + S(3) / 2), x ), x, x ** S(3) / S(3) + S(3) * x ** S(2) / S(2) - S(7) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(3) + S(3) * x ** S(2) + S(4)) / (x + S(1)) ** S(4), x ), x, S(2) * log(x + S(1)) + S(3) / (x + S(1)) - S(5) / (S(3) * (x + S(1)) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((x + S(1)) ** S(2) * (x ** S(2) + S(1))), x), x, atan(x) / S(2) + S(1) / (S(2) * (x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(4) - x ** S(3) + S(3) * x ** S(2) - S(2) * x + S(7)) / (x + S(2)), x ), x, x ** S(4) / S(4) - x ** S(3) + S(9) * x ** S(2) / S(2) - S(20) * x + S(47) * log(x + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(-1)) / (x + S(-1)), x), x, x ** S(3) / S(3) + x ** S(2) / S(2) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x + S(2)) / ((x + S(-1)) ** S(3) * (x ** S(2) + S(1))), x ), x, atan(x) + S(1) / (x + S(-1)) - S(1) / (-x + S(1)) ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (b * x + c * (d + e * x) ** S(2)), x), x, -S(2) * atanh( (b + S(2) * c * d * e + S(2) * c * e ** S(2) * x) / (sqrt(b) * sqrt(b + S(4) * c * d * e)) ) / (sqrt(b) * sqrt(b + S(4) * c * d * e)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * x + c * (d + e * x) ** S(2)), x), x, -S(2) * atanh( (b + S(2) * c * d * e + S(2) * c * e ** S(2) * x) / sqrt(-S(4) * a * c * e ** S(2) + b ** S(2) + S(4) * b * c * d * e) ) / sqrt(-S(4) * a * c * e ** S(2) + b ** S(2) + S(4) * b * c * d * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / ((x ** S(2) + S(-1)) ** S(2) + S(1)), x), x, log(x ** S(2) - x * sqrt(S(2) + S(2) * sqrt(S(2))) + sqrt(S(2))) / (S(4) * sqrt(S(2) + S(2) * sqrt(S(2)))) - log(x ** S(2) + x * sqrt(S(2) + S(2) * sqrt(S(2))) + sqrt(S(2))) / (S(4) * sqrt(S(2) + S(2) * sqrt(S(2)))) - sqrt(S(1) / 2 + sqrt(S(2)) / S(2)) * atan( (-S(2) * x + sqrt(S(2) + S(2) * sqrt(S(2)))) / sqrt(S(-2) + S(2) * sqrt(S(2))) ) / S(2) + sqrt(S(1) / 2 + sqrt(S(2)) / S(2)) * atan( (S(2) * x + sqrt(S(2) + S(2) * sqrt(S(2)))) / sqrt(S(-2) + S(2) * sqrt(S(2))) ) / S(2), expand=True, _diff=True, _numerical=True, ) def test_2(): assert rubi_test( rubi_integrate( x ** S(5) * (a + b * x ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, b * x ** S(6) * sqrt(-c + d * x) * sqrt(c + d * x) / (S(7) * d ** S(2)) + S(8) * c ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(7) * a * d ** S(2) + S(6) * b * c ** S(2)) / (S(105) * d ** S(8)) + S(4) * c ** S(2) * x ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(7) * a * d ** S(2) + S(6) * b * c ** S(2)) / (S(105) * d ** S(6)) + x ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(7) * a * d ** S(2) + S(6) * b * c ** S(2)) / (S(35) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(4) * (a + b * x ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, b * x ** S(5) * sqrt(-c + d * x) * sqrt(c + d * x) / (S(6) * d ** S(2)) + c ** S(4) * (S(6) * a * d ** S(2) + S(5) * b * c ** S(2)) * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / (S(8) * d ** S(7)) + c ** S(2) * x * sqrt(-c + d * x) * sqrt(c + d * x) * (S(6) * a * d ** S(2) + S(5) * b * c ** S(2)) / (S(16) * d ** S(6)) + x ** S(3) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(6) * a * d ** S(2) + S(5) * b * c ** S(2)) / (S(24) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (a + b * x ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, b * x ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x) / (S(5) * d ** S(2)) + S(2) * c ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(5) * a * d ** S(2) + S(4) * b * c ** S(2)) / (S(15) * d ** S(6)) + x ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(5) * a * d ** S(2) + S(4) * b * c ** S(2)) / (S(15) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (a + b * x ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, b * x ** S(3) * sqrt(-c + d * x) * sqrt(c + d * x) / (S(4) * d ** S(2)) + c ** S(2) * (S(4) * a * d ** S(2) + S(3) * b * c ** S(2)) * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / (S(4) * d ** S(5)) + x * sqrt(-c + d * x) * sqrt(c + d * x) * (S(4) * a * d ** S(2) + S(3) * b * c ** S(2)) / (S(8) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (a + b * x ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, b * x ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x) / (S(3) * d ** S(2)) + sqrt(-c + d * x) * sqrt(c + d * x) * (S(3) * a * d ** S(2) + S(2) * b * c ** S(2)) / (S(3) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)), x), x, b * x * sqrt(-c + d * x) * sqrt(c + d * x) / (S(2) * d ** S(2)) + (S(2) * a * d ** S(2) + b * c ** S(2)) * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / d ** S(3), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((a + b * x ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)), x), x, S(2) * a * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / d + b * c ** S(2) * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / d ** S(3) + b * x * sqrt(-c + d * x) * sqrt(c + d * x) / (S(2) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x * sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, a * atan(sqrt(-c + d * x) * sqrt(c + d * x) / c) / c + b * sqrt(-c + d * x) * sqrt(c + d * x) / d ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, a * sqrt(-c + d * x) * sqrt(c + d * x) / (c ** S(2) * x) + S(2) * b * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / d, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(3) * sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, a * sqrt(-c + d * x) * sqrt(c + d * x) / (S(2) * c ** S(2) * x ** S(2)) + (a * d ** S(2) + S(2) * b * c ** S(2)) * atan(sqrt(-c + d * x) * sqrt(c + d * x) / c) / (S(2) * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, a * sqrt(-c + d * x) * sqrt(c + d * x) / (S(3) * c ** S(2) * x ** S(3)) + sqrt(-c + d * x) * sqrt(c + d * x) * (S(2) * a * d ** S(2) + S(3) * b * c ** S(2)) / (S(3) * c ** S(4) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(5) * sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, a * sqrt(-c + d * x) * sqrt(c + d * x) / (S(4) * c ** S(2) * x ** S(4)) + sqrt(-c + d * x) * sqrt(c + d * x) * (S(3) * a * d ** S(2) + S(4) * b * c ** S(2)) / (S(8) * c ** S(4) * x ** S(2)) + d ** S(2) * (S(3) * a * d ** S(2) + S(4) * b * c ** S(2)) * atan(sqrt(-c + d * x) * sqrt(c + d * x) / c) / (S(8) * c ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(6) * sqrt(-c + d * x) * sqrt(c + d * x)), x ), x, a * sqrt(-c + d * x) * sqrt(c + d * x) / (S(5) * c ** S(2) * x ** S(5)) + sqrt(-c + d * x) * sqrt(c + d * x) * (S(4) * a * d ** S(2) + S(5) * b * c ** S(2)) / (S(15) * c ** S(4) * x ** S(3)) + S(2) * d ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(4) * a * d ** S(2) + S(5) * b * c ** S(2)) / (S(15) * c ** S(6) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(5) * (a + b * x ** S(2)) / ((-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, b * x ** S(6) / (S(5) * d ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x)) + S(8) * c ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(5) * a * d ** S(2) + S(6) * b * c ** S(2)) / (S(15) * d ** S(8)) - x ** S(4) * (S(5) * a * d ** S(2) + S(6) * b * c ** S(2)) / (S(5) * d ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x)) + x ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x) * (S(20) * a * d ** S(2) + S(24) * b * c ** S(2)) / (S(15) * d ** S(6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(4) * (a + b * x ** S(2)) / ((-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, b * x ** S(5) / (S(4) * d ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x)) + S(3) * c ** S(2) * (S(4) * a * d ** S(2) + S(5) * b * c ** S(2)) * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / (S(4) * d ** S(7)) - x ** S(3) * (S(4) * a * d ** S(2) + S(5) * b * c ** S(2)) / (S(4) * d ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x)) + x * sqrt(-c + d * x) * sqrt(c + d * x) * (S(12) * a * d ** S(2) + S(15) * b * c ** S(2)) / (S(8) * d ** S(6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (a + b * x ** S(2)) / ((-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, b * x ** S(4) / (S(3) * d ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x)) - x ** S(2) * (S(3) * a * d ** S(2) + S(4) * b * c ** S(2)) / (S(3) * d ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x)) + sqrt(-c + d * x) * sqrt(c + d * x) * (S(6) * a * d ** S(2) + S(8) * b * c ** S(2)) / (S(3) * d ** S(6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (a + b * x ** S(2)) / ((-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, b * x ** S(3) / (S(2) * d ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x)) - c * (S(2) * a * d ** S(2) + S(3) * b * c ** S(2)) / (S(2) * d ** S(5) * sqrt(-c + d * x) * sqrt(c + d * x)) - sqrt(-c + d * x) * (S(2) * a * d ** S(2) + S(3) * b * c ** S(2)) / (S(2) * d ** S(5) * sqrt(c + d * x)) + (S(2) * a * d ** S(2) + S(3) * b * c ** S(2)) * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / d ** S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (a + b * x ** S(2)) / ((-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, -(x ** S(2)) * (a / c ** S(2) + b / d ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)) + sqrt(-c + d * x) * sqrt(c + d * x) * (a * d ** S(2) + S(2) * b * c ** S(2)) / (c ** S(2) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / ((-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, -a * x / (c ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x)) - b * c / (d ** S(3) * sqrt(-c + d * x) * sqrt(c + d * x)) - b * sqrt(-c + d * x) / (d ** S(3) * sqrt(c + d * x)) + S(2) * b * atanh(sqrt(-c + d * x) / sqrt(c + d * x)) / d ** S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x * (-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, -a * atan(sqrt(-c + d * x) * sqrt(c + d * x) / c) / c ** S(3) - (a / c ** S(2) + b / d ** S(2)) / (sqrt(-c + d * x) * sqrt(c + d * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(2) * (-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, a / (c ** S(2) * x * sqrt(-c + d * x) * sqrt(c + d * x)) - x * (S(2) * a * d ** S(2) + b * c ** S(2)) / (c ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(3) * (-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, a / (S(2) * c ** S(2) * x ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x)) - (S(3) * a * d ** S(2) + S(2) * b * c ** S(2)) / (S(2) * c ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x)) - (S(3) * a * d ** S(2) + S(2) * b * c ** S(2)) * atan(sqrt(-c + d * x) * sqrt(c + d * x) / c) / (S(2) * c ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(4) * (-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, a / (S(3) * c ** S(2) * x ** S(3) * sqrt(-c + d * x) * sqrt(c + d * x)) + (S(4) * a * d ** S(2) + S(3) * b * c ** S(2)) / (S(3) * c ** S(4) * x * sqrt(-c + d * x) * sqrt(c + d * x)) - S(2) * d ** S(2) * x * (S(4) * a * d ** S(2) + S(3) * b * c ** S(2)) / (S(3) * c ** S(6) * sqrt(-c + d * x) * sqrt(c + d * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(5) * (-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, a / (S(4) * c ** S(2) * x ** S(4) * sqrt(-c + d * x) * sqrt(c + d * x)) + (S(5) * a * d ** S(2) + S(4) * b * c ** S(2)) / (S(8) * c ** S(4) * x ** S(2) * sqrt(-c + d * x) * sqrt(c + d * x)) - S(3) * d ** S(2) * (S(5) * a * d ** S(2) + S(4) * b * c ** S(2)) / (S(8) * c ** S(6) * sqrt(-c + d * x) * sqrt(c + d * x)) - S(3) * d ** S(2) * (S(5) * a * d ** S(2) + S(4) * b * c ** S(2)) * atan(sqrt(-c + d * x) * sqrt(c + d * x) / c) / (S(8) * c ** S(7)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) / (x ** S(6) * (-c + d * x) ** (S(3) / 2) * (c + d * x) ** (S(3) / 2)), x, ), x, a / (S(5) * c ** S(2) * x ** S(5) * sqrt(-c + d * x) * sqrt(c + d * x)) + (S(6) * a * d ** S(2) + S(5) * b * c ** S(2)) / (S(15) * c ** S(4) * x ** S(3) * sqrt(-c + d * x) * sqrt(c + d * x)) + S(4) * d ** S(2) * (S(6) * a * d ** S(2) + S(5) * b * c ** S(2)) / (S(15) * c ** S(6) * x * sqrt(-c + d * x) * sqrt(c + d * x)) - S(8) * d ** S(4) * x * (S(6) * a * d ** S(2) + S(5) * b * c ** S(2)) / (S(15) * c ** S(8) * sqrt(-c + d * x) * sqrt(c + d * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c ** S(2) * x ** S(2) + S(1)) / (x * sqrt(c * x + S(-1)) * sqrt(c * x + S(1))), x, ), x, sqrt(c * x + S(-1)) * sqrt(c * x + S(1)) + atan(sqrt(c * x + S(-1)) * sqrt(c * x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) ** n * (c + d * x ** S(3)), x), x, S(10) * a ** S(2) * d * (a + b * x) ** (n + S(4)) / (b ** S(6) * (n + S(4))) + a ** S(2) * (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) / (b ** S(6) * (n + S(1))) - S(5) * a * d * (a + b * x) ** (n + S(5)) / (b ** S(6) * (n + S(5))) - a * (a + b * x) ** (n + S(2)) * (-S(5) * a ** S(3) * d + S(2) * b ** S(3) * c) / (b ** S(6) * (n + S(2))) + d * (a + b * x) ** (n + S(6)) / (b ** S(6) * (n + S(6))) + (a + b * x) ** (n + S(3)) * (-S(10) * a ** S(3) * d + b ** S(3) * c) / (b ** S(6) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** n * (c + d * x ** S(3)), x), x, S(6) * a ** S(2) * d * (a + b * x) ** (n + S(3)) / (b ** S(5) * (n + S(3))) - S(4) * a * d * (a + b * x) ** (n + S(4)) / (b ** S(5) * (n + S(4))) - a * (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) / (b ** S(5) * (n + S(1))) + d * (a + b * x) ** (n + S(5)) / (b ** S(5) * (n + S(5))) + (a + b * x) ** (n + S(2)) * (-S(4) * a ** S(3) * d + b ** S(3) * c) / (b ** S(5) * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n * (c + d * x ** S(3)), x), x, S(3) * a ** S(2) * d * (a + b * x) ** (n + S(2)) / (b ** S(4) * (n + S(2))) - S(3) * a * d * (a + b * x) ** (n + S(3)) / (b ** S(4) * (n + S(3))) + d * (a + b * x) ** (n + S(4)) / (b ** S(4) * (n + S(4))) + (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) / (b ** S(4) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n * (c + d * x ** S(3)) / x, x), x, a ** S(2) * d * (a + b * x) ** (n + S(1)) / (b ** S(3) * (n + S(1))) - S(2) * a * d * (a + b * x) ** (n + S(2)) / (b ** S(3) * (n + S(2))) + d * (a + b * x) ** (n + S(3)) / (b ** S(3) * (n + S(3))) - c * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) ** n * (c + d * x ** S(3)) ** S(2), x), x, S(28) * a ** S(2) * d ** S(2) * (a + b * x) ** (n + S(7)) / (b ** S(9) * (n + S(7))) + S(4) * a ** S(2) * d * (a + b * x) ** (n + S(4)) * (-S(14) * a ** S(3) * d + S(5) * b ** S(3) * c) / (b ** S(9) * (n + S(4))) + a ** S(2) * (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(2) / (b ** S(9) * (n + S(1))) - S(8) * a * d ** S(2) * (a + b * x) ** (n + S(8)) / (b ** S(9) * (n + S(8))) - S(10) * a * d * (a + b * x) ** (n + S(5)) * (-S(7) * a ** S(3) * d + b ** S(3) * c) / (b ** S(9) * (n + S(5))) - S(2) * a * (a + b * x) ** (n + S(2)) * (-S(4) * a ** S(3) * d + b ** S(3) * c) * (-(a ** S(3)) * d + b ** S(3) * c) / (b ** S(9) * (n + S(2))) + d ** S(2) * (a + b * x) ** (n + S(9)) / (b ** S(9) * (n + S(9))) + S(2) * d * (a + b * x) ** (n + S(6)) * (-S(28) * a ** S(3) * d + b ** S(3) * c) / (b ** S(9) * (n + S(6))) + (a + b * x) ** (n + S(3)) * ( S(28) * a ** S(6) * d ** S(2) - S(20) * a ** S(3) * b ** S(3) * c * d + b ** S(6) * c ** S(2) ) / (b ** S(9) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** n * (c + d * x ** S(3)) ** S(2), x), x, S(21) * a ** S(2) * d ** S(2) * (a + b * x) ** (n + S(6)) / (b ** S(8) * (n + S(6))) + S(3) * a ** S(2) * d * (a + b * x) ** (n + S(3)) * (-S(7) * a ** S(3) * d + S(4) * b ** S(3) * c) / (b ** S(8) * (n + S(3))) - S(7) * a * d ** S(2) * (a + b * x) ** (n + S(7)) / (b ** S(8) * (n + S(7))) - a * d * (a + b * x) ** (n + S(4)) * (-S(35) * a ** S(3) * d + S(8) * b ** S(3) * c) / (b ** S(8) * (n + S(4))) - a * (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(2) / (b ** S(8) * (n + S(1))) + d ** S(2) * (a + b * x) ** (n + S(8)) / (b ** S(8) * (n + S(8))) + d * (a + b * x) ** (n + S(5)) * (-S(35) * a ** S(3) * d + S(2) * b ** S(3) * c) / (b ** S(8) * (n + S(5))) + (a + b * x) ** (n + S(2)) * (-S(7) * a ** S(3) * d + b ** S(3) * c) * (-(a ** S(3)) * d + b ** S(3) * c) / (b ** S(8) * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n * (c + d * x ** S(3)) ** S(2), x), x, S(15) * a ** S(2) * d ** S(2) * (a + b * x) ** (n + S(5)) / (b ** S(7) * (n + S(5))) + S(6) * a ** S(2) * d * (a + b * x) ** (n + S(2)) * (-(a ** S(3)) * d + b ** S(3) * c) / (b ** S(7) * (n + S(2))) - S(6) * a * d ** S(2) * (a + b * x) ** (n + S(6)) / (b ** S(7) * (n + S(6))) - S(3) * a * d * (a + b * x) ** (n + S(3)) * (-S(5) * a ** S(3) * d + S(2) * b ** S(3) * c) / (b ** S(7) * (n + S(3))) + d ** S(2) * (a + b * x) ** (n + S(7)) / (b ** S(7) * (n + S(7))) + S(2) * d * (a + b * x) ** (n + S(4)) * (-S(10) * a ** S(3) * d + b ** S(3) * c) / (b ** S(7) * (n + S(4))) + (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(2) / (b ** S(7) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n * (c + d * x ** S(3)) ** S(2) / x, x), x, S(10) * a ** S(2) * d ** S(2) * (a + b * x) ** (n + S(4)) / (b ** S(6) * (n + S(4))) + a ** S(2) * d * (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + S(2) * b ** S(3) * c) / (b ** S(6) * (n + S(1))) - S(5) * a * d ** S(2) * (a + b * x) ** (n + S(5)) / (b ** S(6) * (n + S(5))) - a * d * (a + b * x) ** (n + S(2)) * (-S(5) * a ** S(3) * d + S(4) * b ** S(3) * c) / (b ** S(6) * (n + S(2))) + d ** S(2) * (a + b * x) ** (n + S(6)) / (b ** S(6) * (n + S(6))) + S(2) * d * (a + b * x) ** (n + S(3)) * (-S(5) * a ** S(3) * d + b ** S(3) * c) / (b ** S(6) * (n + S(3))) - c ** S(2) * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) ** n * (c + d * x ** S(3)) ** S(3), x), x, S(55) * a ** S(2) * d ** S(3) * (a + b * x) ** (n + S(10)) / (b ** S(12) * (n + S(10))) + S(42) * a ** S(2) * d ** S(2) * (a + b * x) ** (n + S(7)) * (-S(11) * a ** S(3) * d + S(2) * b ** S(3) * c) / (b ** S(12) * (n + S(7))) + S(3) * a ** S(2) * d * (a + b * x) ** (n + S(4)) * ( S(55) * a ** S(6) * d ** S(2) - S(56) * a ** S(3) * b ** S(3) * c * d + S(10) * b ** S(6) * c ** S(2) ) / (b ** S(12) * (n + S(4))) + a ** S(2) * (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(3) / (b ** S(12) * (n + S(1))) - S(11) * a * d ** S(3) * (a + b * x) ** (n + S(11)) / (b ** S(12) * (n + S(11))) - S(6) * a * d ** S(2) * (a + b * x) ** (n + S(8)) * (-S(55) * a ** S(3) * d + S(4) * b ** S(3) * c) / (b ** S(12) * (n + S(8))) - S(15) * a * d * (a + b * x) ** (n + S(5)) * ( S(22) * a ** S(6) * d ** S(2) - S(14) * a ** S(3) * b ** S(3) * c * d + b ** S(6) * c ** S(2) ) / (b ** S(12) * (n + S(5))) - a * (a + b * x) ** (n + S(2)) * (-S(11) * a ** S(3) * d + S(2) * b ** S(3) * c) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(2) / (b ** S(12) * (n + S(2))) + d ** S(3) * (a + b * x) ** (n + S(12)) / (b ** S(12) * (n + S(12))) + S(3) * d ** S(2) * (a + b * x) ** (n + S(9)) * (-S(55) * a ** S(3) * d + b ** S(3) * c) / (b ** S(12) * (n + S(9))) + S(3) * d * (a + b * x) ** (n + S(6)) * ( S(154) * a ** S(6) * d ** S(2) - S(56) * a ** S(3) * b ** S(3) * c * d + b ** S(6) * c ** S(2) ) / (b ** S(12) * (n + S(6))) + (a + b * x) ** (n + S(3)) * (-(a ** S(3)) * d + b ** S(3) * c) * ( S(55) * a ** S(6) * d ** S(2) - S(29) * a ** S(3) * b ** S(3) * c * d + b ** S(6) * c ** S(2) ) / (b ** S(12) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** n * (c + d * x ** S(3)) ** S(3), x), x, S(45) * a ** S(2) * d ** S(3) * (a + b * x) ** (n + S(9)) / (b ** S(11) * (n + S(9))) + S(63) * a ** S(2) * d ** S(2) * (a + b * x) ** (n + S(6)) * (-S(4) * a ** S(3) * d + b ** S(3) * c) / (b ** S(11) * (n + S(6))) + S(9) * a ** S(2) * d * (a + b * x) ** (n + S(3)) * (-S(5) * a ** S(3) * d + S(2) * b ** S(3) * c) * (-(a ** S(3)) * d + b ** S(3) * c) / (b ** S(11) * (n + S(3))) - S(10) * a * d ** S(3) * (a + b * x) ** (n + S(10)) / (b ** S(11) * (n + S(10))) - S(21) * a * d ** S(2) * (a + b * x) ** (n + S(7)) * (-S(10) * a ** S(3) * d + b ** S(3) * c) / (b ** S(11) * (n + S(7))) - S(3) * a * d * (a + b * x) ** (n + S(4)) * ( S(40) * a ** S(6) * d ** S(2) - S(35) * a ** S(3) * b ** S(3) * c * d + S(4) * b ** S(6) * c ** S(2) ) / (b ** S(11) * (n + S(4))) - a * (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(3) / (b ** S(11) * (n + S(1))) + d ** S(3) * (a + b * x) ** (n + S(11)) / (b ** S(11) * (n + S(11))) + S(3) * d ** S(2) * (a + b * x) ** (n + S(8)) * (-S(40) * a ** S(3) * d + b ** S(3) * c) / (b ** S(11) * (n + S(8))) + S(3) * d * (a + b * x) ** (n + S(5)) * ( S(70) * a ** S(6) * d ** S(2) - S(35) * a ** S(3) * b ** S(3) * c * d + b ** S(6) * c ** S(2) ) / (b ** S(11) * (n + S(5))) + (a + b * x) ** (n + S(2)) * (-S(10) * a ** S(3) * d + b ** S(3) * c) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(2) / (b ** S(11) * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n * (c + d * x ** S(3)) ** S(3), x), x, S(36) * a ** S(2) * d ** S(3) * (a + b * x) ** (n + S(8)) / (b ** S(10) * (n + S(8))) + S(9) * a ** S(2) * d ** S(2) * (a + b * x) ** (n + S(5)) * (-S(14) * a ** S(3) * d + S(5) * b ** S(3) * c) / (b ** S(10) * (n + S(5))) + S(9) * a ** S(2) * d * (a + b * x) ** (n + S(2)) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(2) / (b ** S(10) * (n + S(2))) - S(9) * a * d ** S(3) * (a + b * x) ** (n + S(9)) / (b ** S(10) * (n + S(9))) - S(18) * a * d ** S(2) * (a + b * x) ** (n + S(6)) * (-S(7) * a ** S(3) * d + b ** S(3) * c) / (b ** S(10) * (n + S(6))) - S(9) * a * d * (a + b * x) ** (n + S(3)) * (-S(4) * a ** S(3) * d + b ** S(3) * c) * (-(a ** S(3)) * d + b ** S(3) * c) / (b ** S(10) * (n + S(3))) + d ** S(3) * (a + b * x) ** (n + S(10)) / (b ** S(10) * (n + S(10))) + S(3) * d ** S(2) * (a + b * x) ** (n + S(7)) * (-S(28) * a ** S(3) * d + b ** S(3) * c) / (b ** S(10) * (n + S(7))) + S(3) * d * (a + b * x) ** (n + S(4)) * ( S(28) * a ** S(6) * d ** S(2) - S(20) * a ** S(3) * b ** S(3) * c * d + b ** S(6) * c ** S(2) ) / (b ** S(10) * (n + S(4))) + (a + b * x) ** (n + S(1)) * (-(a ** S(3)) * d + b ** S(3) * c) ** S(3) / (b ** S(10) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n * (c + d * x ** S(3)) ** S(3) / x, x), x, S(28) * a ** S(2) * d ** S(3) * (a + b * x) ** (n + S(7)) / (b ** S(9) * (n + S(7))) + S(2) * a ** S(2) * d ** S(2) * (a + b * x) ** (n + S(4)) * (-S(28) * a ** S(3) * d + S(15) * b ** S(3) * c) / (b ** S(9) * (n + S(4))) + a ** S(2) * d * (a + b * x) ** (n + S(1)) * ( a ** S(6) * d ** S(2) - S(3) * a ** S(3) * b ** S(3) * c * d + S(3) * b ** S(6) * c ** S(2) ) / (b ** S(9) * (n + S(1))) - S(8) * a * d ** S(3) * (a + b * x) ** (n + S(8)) / (b ** S(9) * (n + S(8))) - S(5) * a * d ** S(2) * (a + b * x) ** (n + S(5)) * (-S(14) * a ** S(3) * d + S(3) * b ** S(3) * c) / (b ** S(9) * (n + S(5))) - a * d * (a + b * x) ** (n + S(2)) * ( S(8) * a ** S(6) * d ** S(2) - S(15) * a ** S(3) * b ** S(3) * c * d + S(6) * b ** S(6) * c ** S(2) ) / (b ** S(9) * (n + S(2))) + d ** S(3) * (a + b * x) ** (n + S(9)) / (b ** S(9) * (n + S(9))) + d ** S(2) * (a + b * x) ** (n + S(6)) * (-S(56) * a ** S(3) * d + S(3) * b ** S(3) * c) / (b ** S(9) * (n + S(6))) + d * (a + b * x) ** (n + S(3)) * ( S(28) * a ** S(6) * d ** S(2) - S(30) * a ** S(3) * b ** S(3) * c * d + S(3) * b ** S(6) * c ** S(2) ) / (b ** S(9) * (n + S(3))) - c ** S(3) * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (e + f * x) ** n / (a + b * x ** S(3)), x), x, x ** (m + S(1)) * (S(1) + f * x / e) ** (-n) * (e + f * x) ** n * AppellF1( m + S(1), -n, S(1), m + S(2), -f * x / e, -(b ** (S(1) / 3)) * x / a ** (S(1) / 3), ) / (S(3) * a * (m + S(1))) + x ** (m + S(1)) * (S(1) + f * x / e) ** (-n) * (e + f * x) ** n * AppellF1( m + S(1), -n, S(1), m + S(2), -f * x / e, (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * x / a ** (S(1) / 3), ) / (S(3) * a * (m + S(1))) + x ** (m + S(1)) * (S(1) + f * x / e) ** (-n) * (e + f * x) ** n * AppellF1( m + S(1), -n, S(1), m + S(2), -f * x / e, -((S(-1)) ** (S(2) / 3)) * b ** (S(1) / 3) * x / a ** (S(1) / 3), ) / (S(3) * a * (m + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(5) * (e + f * x) ** n / (a + b * x ** S(3)), x), x, a * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-((S(-1)) ** (S(2) / 3)) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(5) / 3) * (n + S(1)) * (-((S(-1)) ** (S(2) / 3)) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e) ) + a * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / ((S(-1)) ** (S(1) / 3) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(5) / 3) * (n + S(1)) * ((S(-1)) ** (S(1) / 3) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e) ) + a * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(5) / 3) * (n + S(1)) * (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e) ) + e ** S(2) * (e + f * x) ** (n + S(1)) / (b * f ** S(3) * (n + S(1))) - S(2) * e * (e + f * x) ** (n + S(2)) / (b * f ** S(3) * (n + S(2))) + (e + f * x) ** (n + S(3)) / (b * f ** S(3) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) * (e + f * x) ** n / (a + b * x ** S(3)), x), x, (S(-1)) ** (S(2) / 3) * a ** (S(2) / 3) * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * (e + f * x) / (a ** (S(1) / 3) * f + (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(4) / 3) * (n + S(1)) * (a ** (S(1) / 3) * f + (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * e) ) + (S(-1)) ** (S(1) / 3) * a ** (S(2) / 3) * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(4) / 3) * (n + S(1)) * (-(a ** (S(1) / 3)) * f + (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * e) ) - a ** (S(2) / 3) * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(4) / 3) * (n + S(1)) * (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e) ) - e * (e + f * x) ** (n + S(1)) / (b * f ** S(2) * (n + S(1))) + (e + f * x) ** (n + S(2)) / (b * f ** S(2) * (n + S(2))), expand=True, _diff=True, _numerical=True, ) # difference in simplify assert rubi_test(rubi_integrate(x**S(3)*(e + f*x)**n/(a + b*x**S(3)), x), x, -a**(S(1)/3)*(e + f*x)**(n + S(1))*hyper((S(1), n + S(1)), (n + S(2),), (S(-1))**(S(1)/3)*b**(S(1)/3)*(e + f*x)/(a**(S(1)/3)*f + (S(-1))**(S(1)/3)*b**(S(1)/3)*e))/(S(3)*b*(n + S(1))*(a**(S(1)/3)*f + (S(-1))**(S(1)/3)*b**(S(1)/3)*e)) + a**(S(1)/3)*(e + f*x)**(n + S(1))*hyper((S(1), n + S(1)), (n + S(2),), (S(-1))**(S(2)/3)*b**(S(1)/3)*(e + f*x)/(-a**(S(1)/3)*f + (S(-1))**(S(2)/3)*b**(S(1)/3)*e))/(S(3)*b*(n + S(1))*(-a**(S(1)/3)*f + (S(-1))**(S(2)/3)*b**(S(1)/3)*e)) + a**(S(1)/3)*(e + f*x)**(n + S(1))*hyper((S(1), n + S(1)), (n + S(2),), b**(S(1)/3)*(e + f*x)/(-a**(S(1)/3)*f + b**(S(1)/3)*e))/(S(3)*b*(n + S(1))*(-a**(S(1)/3)*f + b**(S(1)/3)*e)) + (e + f*x)**(n + S(1))/(b*f*(n + S(1))), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate(x ** S(2) * (e + f * x) ** n / (a + b * x ** S(3)), x), x, -((e + f * x) ** (n + S(1))) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-((S(-1)) ** (S(2) / 3)) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(2) / 3) * (n + S(1)) * (-((S(-1)) ** (S(2) / 3)) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e) ) - (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / ((S(-1)) ** (S(1) / 3) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(2) / 3) * (n + S(1)) * ((S(-1)) ** (S(1) / 3) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e) ) - (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e), ) / ( S(3) * b ** (S(2) / 3) * (n + S(1)) * (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (e + f * x) ** n / (a + b * x ** S(3)), x), x, -((S(-1)) ** (S(2) / 3)) * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * (e + f * x) / (a ** (S(1) / 3) * f + (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * e), ) / ( S(3) * a ** (S(1) / 3) * b ** (S(1) / 3) * (n + S(1)) * (a ** (S(1) / 3) * f + (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * e) ) - (S(-1)) ** (S(1) / 3) * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * e), ) / ( S(3) * a ** (S(1) / 3) * b ** (S(1) / 3) * (n + S(1)) * (-(a ** (S(1) / 3)) * f + (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * e) ) + (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e), ) / ( S(3) * a ** (S(1) / 3) * b ** (S(1) / 3) * (n + S(1)) * (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((e + f * x) ** n / (a + b * x ** S(3)), x), x, (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * (e + f * x) / (a ** (S(1) / 3) * f + (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * e), ) / ( S(3) * a ** (S(2) / 3) * (n + S(1)) * (a ** (S(1) / 3) * f + (S(-1)) ** (S(1) / 3) * b ** (S(1) / 3) * e) ) - (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * e), ) / ( S(3) * a ** (S(2) / 3) * (n + S(1)) * (-(a ** (S(1) / 3)) * f + (S(-1)) ** (S(2) / 3) * b ** (S(1) / 3) * e) ) - (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e), ) / ( S(3) * a ** (S(2) / 3) * (n + S(1)) * (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((e + f * x) ** n / (x * (a + b * x ** S(3))), x), x, b ** (S(1) / 3) * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-((S(-1)) ** (S(2) / 3)) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e), ) / ( S(3) * a * (n + S(1)) * (-((S(-1)) ** (S(2) / 3)) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e) ) + b ** (S(1) / 3) * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / ((S(-1)) ** (S(1) / 3) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e), ) / ( S(3) * a * (n + S(1)) * ((S(-1)) ** (S(1) / 3) * a ** (S(1) / 3) * f + b ** (S(1) / 3) * e) ) + b ** (S(1) / 3) * (e + f * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 3) * (e + f * x) / (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e), ) / (S(3) * a * (n + S(1)) * (-(a ** (S(1) / 3)) * f + b ** (S(1) / 3) * e)) - (e + f * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + f * x / e) / (a * e * (n + S(1))), expand=True, _diff=True, _numerical=True, ) # large time in rubi_test assert rubi_test(rubi_integrate((e + f*x)**n/(x**S(2)*(a + b*x**S(3))), x), x, f*(e + f*x)**(n + S(1))*hyper((S(2), n + S(1)), (n + S(2),), S(1) + f*x/e)/(a*e**S(2)*(n + S(1))) + (S(-1))**(S(2)/3)*b**(S(2)/3)*(e + f*x)**(n + S(1))*hyper((S(1), n + S(1)), (n + S(2),), (S(-1))**(S(1)/3)*b**(S(1)/3)*(e + f*x)/(a**(S(1)/3)*f + (S(-1))**(S(1)/3)*b**(S(1)/3)*e))/(S(3)*a**(S(4)/3)*(n + S(1))*(a**(S(1)/3)*f + (S(-1))**(S(1)/3)*b**(S(1)/3)*e)) + (S(-1))**(S(1)/3)*b**(S(2)/3)*(e + f*x)**(n + S(1))*hyper((S(1), n + S(1)), (n + S(2),), (S(-1))**(S(2)/3)*b**(S(1)/3)*(e + f*x)/(-a**(S(1)/3)*f + (S(-1))**(S(2)/3)*b**(S(1)/3)*e))/(S(3)*a**(S(4)/3)*(n + S(1))*(-a**(S(1)/3)*f + (S(-1))**(S(2)/3)*b**(S(1)/3)*e)) - b**(S(2)/3)*(e + f*x)**(n + S(1))*hyper((S(1), n + S(1)), (n + S(2),), b**(S(1)/3)*(e + f*x)/(-a**(S(1)/3)*f + b**(S(1)/3)*e))/(S(3)*a**(S(4)/3)*(n + S(1))*(-a**(S(1)/3)*f + b**(S(1)/3)*e)), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate(x ** S(2) * (c + d * x) ** (n + S(1)) / (a + b * x ** S(3)), x), x, -((c + d * x) ** (n + S(2))) * hyper( (S(1), n + S(2)), (n + S(3),), b ** (S(1) / 3) * (c + d * x) / (-((S(-1)) ** (S(2) / 3)) * a ** (S(1) / 3) * d + b ** (S(1) / 3) * c), ) / ( S(3) * b ** (S(2) / 3) * (n + S(2)) * (-((S(-1)) ** (S(2) / 3)) * a ** (S(1) / 3) * d + b ** (S(1) / 3) * c) ) - (c + d * x) ** (n + S(2)) * hyper( (S(1), n + S(2)), (n + S(3),), b ** (S(1) / 3) * (c + d * x) / ((S(-1)) ** (S(1) / 3) * a ** (S(1) / 3) * d + b ** (S(1) / 3) * c), ) / ( S(3) * b ** (S(2) / 3) * (n + S(2)) * ((S(-1)) ** (S(1) / 3) * a ** (S(1) / 3) * d + b ** (S(1) / 3) * c) ) - (c + d * x) ** (n + S(2)) * hyper( (S(1), n + S(2)), (n + S(3),), b ** (S(1) / 3) * (c + d * x) / (-(a ** (S(1) / 3)) * d + b ** (S(1) / 3) * c), ) / ( S(3) * b ** (S(2) / 3) * (n + S(2)) * (-(a ** (S(1) / 3)) * d + b ** (S(1) / 3) * c) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (c + d * x) ** n / (a + b * x ** S(4)), x), x, -((c + d * x) ** (n + S(1))) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 4) * (c + d * x) / (b ** (S(1) / 4) * c + I * d * (-a) ** (S(1) / 4)), ) / ( S(4) * b ** (S(3) / 4) * (n + S(1)) * (b ** (S(1) / 4) * c + I * d * (-a) ** (S(1) / 4)) ) - (c + d * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 4) * (c + d * x) / (b ** (S(1) / 4) * c - I * d * (-a) ** (S(1) / 4)), ) / ( S(4) * b ** (S(3) / 4) * (n + S(1)) * (b ** (S(1) / 4) * c - I * d * (-a) ** (S(1) / 4)) ) - (c + d * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 4) * (c + d * x) / (b ** (S(1) / 4) * c + d * (-a) ** (S(1) / 4)), ) / ( S(4) * b ** (S(3) / 4) * (n + S(1)) * (b ** (S(1) / 4) * c + d * (-a) ** (S(1) / 4)) ) - (c + d * x) ** (n + S(1)) * hyper( (S(1), n + S(1)), (n + S(2),), b ** (S(1) / 4) * (c + d * x) / (b ** (S(1) / 4) * c - d * (-a) ** (S(1) / 4)), ) / ( S(4) * b ** (S(3) / 4) * (n + S(1)) * (b ** (S(1) / 4) * c - d * (-a) ** (S(1) / 4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (c + d * x) ** (n + S(1)) / (a + b * x ** S(4)), x), x, -((c + d * x) ** (n + S(2))) * hyper( (S(1), n + S(2)), (n + S(3),), b ** (S(1) / 4) * (c + d * x) / (b ** (S(1) / 4) * c + I * d * (-a) ** (S(1) / 4)), ) / ( S(4) * b ** (S(3) / 4) * (n + S(2)) * (b ** (S(1) / 4) * c + I * d * (-a) ** (S(1) / 4)) ) - (c + d * x) ** (n + S(2)) * hyper( (S(1), n + S(2)), (n + S(3),), b ** (S(1) / 4) * (c + d * x) / (b ** (S(1) / 4) * c - I * d * (-a) ** (S(1) / 4)), ) / ( S(4) * b ** (S(3) / 4) * (n + S(2)) * (b ** (S(1) / 4) * c - I * d * (-a) ** (S(1) / 4)) ) - (c + d * x) ** (n + S(2)) * hyper( (S(1), n + S(2)), (n + S(3),), b ** (S(1) / 4) * (c + d * x) / (b ** (S(1) / 4) * c + d * (-a) ** (S(1) / 4)), ) / ( S(4) * b ** (S(3) / 4) * (n + S(2)) * (b ** (S(1) / 4) * c + d * (-a) ** (S(1) / 4)) ) - (c + d * x) ** (n + S(2)) * hyper( (S(1), n + S(2)), (n + S(3),), b ** (S(1) / 4) * (c + d * x) / (b ** (S(1) / 4) * c - d * (-a) ** (S(1) / 4)), ) / ( S(4) * b ** (S(3) / 4) * (n + S(2)) * (b ** (S(1) / 4) * c - d * (-a) ** (S(1) / 4)) ), expand=True, _diff=True, _numerical=True, ) # large time in rubi_test assert rubi_test(rubi_integrate(S(1)/(sqrt(a + b*x**S(4))*(c + d*x + e*x**S(2))), x), x, sqrt(S(2))*e**S(2)*atanh(sqrt(S(2))*(S(4)*a*e**S(2) + b*x**S(2)*(d + sqrt(-S(4)*c*e + d**S(2)))**S(2))/(S(4)*sqrt(a + b*x**S(4))*sqrt(S(2)*a*e**S(4) + S(2)*b*c**S(2)*e**S(2) - S(4)*b*c*d**S(2)*e + b*d**S(4) + b*d*sqrt(-S(4)*c*e + d**S(2))*(-S(2)*c*e + d**S(2)))))/(S(2)*sqrt(-S(4)*c*e + d**S(2))*sqrt(S(2)*a*e**S(4) + S(2)*b*c**S(2)*e**S(2) - S(4)*b*c*d**S(2)*e + b*d**S(4) + b*d*sqrt(-S(4)*c*e + d**S(2))*(-S(2)*c*e + d**S(2)))) - sqrt(S(2))*e**S(2)*atanh(sqrt(S(2))*(S(4)*a*e**S(2) + b*x**S(2)*(d - sqrt(-S(4)*c*e + d**S(2)))**S(2))/(S(4)*sqrt(a + b*x**S(4))*sqrt(S(2)*a*e**S(4) + S(2)*b*c**S(2)*e**S(2) - S(4)*b*c*d**S(2)*e + b*d**S(4) - b*d*sqrt(-S(4)*c*e + d**S(2))*(-S(2)*c*e + d**S(2)))))/(S(2)*sqrt(-S(4)*c*e + d**S(2))*sqrt(S(2)*a*e**S(4) + S(2)*b*c**S(2)*e**S(2) - S(4)*b*c*d**S(2)*e + b*d**S(4) - b*d*sqrt(-S(4)*c*e + d**S(2))*(-S(2)*c*e + d**S(2)))) - S(2)*e*atan(x*sqrt(-(S(16)*a*e**S(4) + b*(d + sqrt(-S(4)*c*e + d**S(2)))**S(4))/(e**S(2)*(d + sqrt(-S(4)*c*e + d**S(2)))**S(2)))/(S(2)*sqrt(a + b*x**S(4))))/(sqrt(-(S(16)*a*e**S(4) + b*(d + sqrt(-S(4)*c*e + d**S(2)))**S(4))/(e**S(2)*(d + sqrt(-S(4)*c*e + d**S(2)))**S(2)))*(d + sqrt(-S(4)*c*e + d**S(2)))*sqrt(-S(4)*c*e + d**S(2))) + S(2)*e*atan(x*sqrt(-(S(16)*a*e**S(4) + b*(d - sqrt(-S(4)*c*e + d**S(2)))**S(4))/(e**S(2)*(d - sqrt(-S(4)*c*e + d**S(2)))**S(2)))/(S(2)*sqrt(a + b*x**S(4))))/(sqrt(-(S(16)*a*e**S(4) + b*(d - sqrt(-S(4)*c*e + d**S(2)))**S(4))/(e**S(2)*(d - sqrt(-S(4)*c*e + d**S(2)))**S(2)))*(d - sqrt(-S(4)*c*e + d**S(2)))*sqrt(-S(4)*c*e + d**S(2))) - e*sqrt((a + b*x**S(4))/(sqrt(a) + sqrt(b)*x**S(2))**S(2))*(sqrt(a) + sqrt(b)*x**S(2))*(S(4)*e**S(2) - sqrt(b)*(d + sqrt(-S(4)*c*e + d**S(2)))**S(2)/sqrt(a))*elliptic_pi(sqrt(a)*(S(4)*e**S(2) + sqrt(b)*(d + sqrt(-S(4)*c*e + d**S(2)))**S(2)/sqrt(a))**S(2)/(S(16)*sqrt(b)*e**S(2)*(d + sqrt(-S(4)*c*e + d**S(2)))**S(2)), S(2)*atan(b**(S(1)/4)*x/a**(S(1)/4)), S(1)/2)/(S(2)*a**(S(1)/4)*b**(S(1)/4)*sqrt(a + b*x**S(4))*(d + sqrt(-S(4)*c*e + d**S(2)))*(S(4)*e**S(2) + sqrt(b)*(d + sqrt(-S(4)*c*e + d**S(2)))**S(2)/sqrt(a))*sqrt(-S(4)*c*e + d**S(2))) + e*sqrt((a + b*x**S(4))/(sqrt(a) + sqrt(b)*x**S(2))**S(2))*(sqrt(a) + sqrt(b)*x**S(2))*(S(4)*e**S(2) - sqrt(b)*(d - sqrt(-S(4)*c*e + d**S(2)))**S(2)/sqrt(a))*elliptic_pi(sqrt(a)*(S(4)*e**S(2) + sqrt(b)*(d - sqrt(-S(4)*c*e + d**S(2)))**S(2)/sqrt(a))**S(2)/(S(16)*sqrt(b)*e**S(2)*(d - sqrt(-S(4)*c*e + d**S(2)))**S(2)), S(2)*atan(b**(S(1)/4)*x/a**(S(1)/4)), S(1)/2)/(S(2)*a**(S(1)/4)*b**(S(1)/4)*sqrt(a + b*x**S(4))*(d - sqrt(-S(4)*c*e + d**S(2)))*(S(4)*e**S(2) + sqrt(b)*(d - sqrt(-S(4)*c*e + d**S(2)))**S(2)/sqrt(a))*sqrt(-S(4)*c*e + d**S(2))) + b**(S(1)/4)*e*sqrt((a + b*x**S(4))/(sqrt(a) + sqrt(b)*x**S(2))**S(2))*(sqrt(a) + sqrt(b)*x**S(2))*(d - sqrt(-S(4)*c*e + d**S(2)))*elliptic_f(S(2)*atan(b**(S(1)/4)*x/a**(S(1)/4)), S(1)/2)/(a**(S(3)/4)*sqrt(a + b*x**S(4))*(S(4)*e**S(2) + sqrt(b)*(d - sqrt(-S(4)*c*e + d**S(2)))**S(2)/sqrt(a))*sqrt(-S(4)*c*e + d**S(2))) - b**(S(1)/4)*e*sqrt((a + b*x**S(4))/(sqrt(a) + sqrt(b)*x**S(2))**S(2))*(sqrt(a) + sqrt(b)*x**S(2))*(d + sqrt(-S(4)*c*e + d**S(2)))*elliptic_f(S(2)*atan(b**(S(1)/4)*x/a**(S(1)/4)), S(1)/2)/(a**(S(3)/4)*sqrt(a + b*x**S(4))*(S(4)*e**S(2) + sqrt(b)*(d + sqrt(-S(4)*c*e + d**S(2)))**S(2)/sqrt(a))*sqrt(-S(4)*c*e + d**S(2))), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** p, x), x, x * (c * x ** n) ** (-S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(1)) / (b * (p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** S(3), x), x, x * (c * x ** n) ** (-S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(4) / (S(4) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** S(2), x), x, x * (c * x ** n) ** (-S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(3) / (S(3) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(a + b * (c * x ** n) ** (S(1) / n), x), x, a * x + b * x * (c * x ** n) ** (S(1) / n) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * (c * x ** n) ** (S(1) / n)), x), x, x * (c * x ** n) ** (-S(1) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** (S(-2)), x), x, x / (a ** S(2) + a * b * (c * x ** n) ** (S(1) / n)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** (S(-2)), x), x, -x * (c * x ** n) ** (-S(1) / n) / (b * (a + b * (c * x ** n) ** (S(1) / n))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** (S(-3)), x), x, -x * (c * x ** n) ** (-S(1) / n) / (S(2) * b * (a + b * (c * x ** n) ** (S(1) / n)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(2) / n)) ** S(3), x), x, a ** S(3) * x + a ** S(2) * b * x * (c * x ** n) ** (S(2) / n) + S(3) * a * b ** S(2) * x * (c * x ** n) ** (S(4) / n) / S(5) + b ** S(3) * x * (c * x ** n) ** (S(6) / n) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(2) / n)) ** S(2), x), x, a ** S(2) * x + S(2) * a * b * x * (c * x ** n) ** (S(2) / n) / S(3) + b ** S(2) * x * (c * x ** n) ** (S(4) / n) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(a + b * (c * x ** n) ** (S(2) / n), x), x, a * x + b * x * (c * x ** n) ** (S(2) / n) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * (c * x ** n) ** (S(2) / n)), x), x, x * (c * x ** n) ** (-S(1) / n) * atan(sqrt(b) * (c * x ** n) ** (S(1) / n) / sqrt(a)) / (sqrt(a) * sqrt(b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(2) / n)) ** (S(-2)), x), x, x / (S(2) * a * (a + b * (c * x ** n) ** (S(2) / n))) + x * (c * x ** n) ** (-S(1) / n) * atan(sqrt(b) * (c * x ** n) ** (S(1) / n) / sqrt(a)) / (S(2) * a ** (S(3) / 2) * sqrt(b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(2) / n)) ** (S(-3)), x), x, x / (S(4) * a * (a + b * (c * x ** n) ** (S(2) / n)) ** S(2)) + S(3) * x / (S(8) * a ** S(2) * (a + b * (c * x ** n) ** (S(2) / n))) + S(3) * x * (c * x ** n) ** (-S(1) / n) * atan(sqrt(b) * (c * x ** n) ** (S(1) / n) / sqrt(a)) / (S(8) * a ** (S(5) / 2) * sqrt(b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(3) / n)) ** S(3), x), x, a ** S(3) * x + S(3) * a ** S(2) * b * x * (c * x ** n) ** (S(3) / n) / S(4) + S(3) * a * b ** S(2) * x * (c * x ** n) ** (S(6) / n) / S(7) + b ** S(3) * x * (c * x ** n) ** (S(9) / n) / S(10), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(3) / n)) ** S(2), x), x, a ** S(2) * x + a * b * x * (c * x ** n) ** (S(3) / n) / S(2) + b ** S(2) * x * (c * x ** n) ** (S(6) / n) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(a + b * (c * x ** n) ** (S(3) / n), x), x, a * x + b * x * (c * x ** n) ** (S(3) / n) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * (c * x ** n) ** (S(3) / n)), x), x, x * (c * x ** n) ** (-S(1) / n) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n)) / (S(3) * a ** (S(2) / 3) * b ** (S(1) / 3)) - x * (c * x ** n) ** (-S(1) / n) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n) + b ** (S(2) / 3) * (c * x ** n) ** (S(2) / n) ) / (S(6) * a ** (S(2) / 3) * b ** (S(1) / 3)) - sqrt(S(3)) * x * (c * x ** n) ** (-S(1) / n) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n)) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * b ** (S(1) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(3) / n)) ** (S(-2)), x), x, x / (S(3) * a * (a + b * (c * x ** n) ** (S(3) / n))) + S(2) * x * (c * x ** n) ** (-S(1) / n) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n)) / (S(9) * a ** (S(5) / 3) * b ** (S(1) / 3)) - x * (c * x ** n) ** (-S(1) / n) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n) + b ** (S(2) / 3) * (c * x ** n) ** (S(2) / n) ) / (S(9) * a ** (S(5) / 3) * b ** (S(1) / 3)) - S(2) * sqrt(S(3)) * x * (c * x ** n) ** (-S(1) / n) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n)) / (S(3) * a ** (S(1) / 3)) ) / (S(9) * a ** (S(5) / 3) * b ** (S(1) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(3) / n)) ** (S(-3)), x), x, x / (S(6) * a * (a + b * (c * x ** n) ** (S(3) / n)) ** S(2)) + S(5) * x / (S(18) * a ** S(2) * (a + b * (c * x ** n) ** (S(3) / n))) + S(5) * x * (c * x ** n) ** (-S(1) / n) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n)) / (S(27) * a ** (S(8) / 3) * b ** (S(1) / 3)) - S(5) * x * (c * x ** n) ** (-S(1) / n) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n) + b ** (S(2) / 3) * (c * x ** n) ** (S(2) / n) ) / (S(54) * a ** (S(8) / 3) * b ** (S(1) / 3)) - S(5) * sqrt(S(3)) * x * (c * x ** n) ** (-S(1) / n) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c * x ** n) ** (S(1) / n)) / (S(3) * a ** (S(1) / 3)) ) / (S(27) * a ** (S(8) / 3) * b ** (S(1) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x ** S(3)) ** (S(2) / 3) + S(1)), x), x, x * atan((x ** S(3)) ** (S(1) / 3)) / (x ** S(3)) ** (S(1) / 3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x ** S(2)) ** (S(3) / 2) + S(1)), x), x, x * log(sqrt(x ** S(2)) + S(1)) / (S(3) * sqrt(x ** S(2))) - x * log(x ** S(2) - sqrt(x ** S(2)) + S(1)) / (S(6) * sqrt(x ** S(2))) - sqrt(S(3)) * x * atan(sqrt(S(3)) * (-S(2) * sqrt(x ** S(2)) + S(1)) / S(3)) / (S(3) * sqrt(x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(4) * sqrt(x ** S(4)) + S(1)), x), x, x * atan(S(2) * (x ** S(4)) ** (S(1) / 4)) / (S(2) * (x ** S(4)) ** (S(1) / 4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (-S(4) * sqrt(x ** S(4)) + S(1)), x), x, x * atanh(S(2) * (x ** S(4)) ** (S(1) / 4)) / (S(2) * (x ** S(4)) ** (S(1) / 4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(4) * (x ** S(6)) ** (S(1) / 3) + S(1)), x), x, x * atan(S(2) * (x ** S(6)) ** (S(1) / 6)) / (S(2) * (x ** S(6)) ** (S(1) / 6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (-S(4) * (x ** S(6)) ** (S(1) / 3) + S(1)), x), x, x * atanh(S(2) * (x ** S(6)) ** (S(1) / 6)) / (S(2) * (x ** S(6)) ** (S(1) / 6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(4) * (x ** (S(2) * n)) ** (S(1) / n) + S(1)), x), x, x * (x ** (S(2) * n)) ** (-S(1) / (S(2) * n)) * atan(S(2) * (x ** (S(2) * n)) ** (S(1) / (S(2) * n))) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (-S(4) * (x ** (S(2) * n)) ** (S(1) / n) + S(1)), x), x, x * (x ** (S(2) * n)) ** (-S(1) / (S(2) * n)) * atanh(S(2) * (x ** (S(2) * n)) ** (S(1) / (S(2) * n))) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (a + b * (c * x ** n) ** (S(1) / n)), x), x, -(a ** S(3)) * x ** S(4) * (c * x ** n) ** (-S(4) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b ** S(4) + a ** S(2) * x ** S(4) * (c * x ** n) ** (-S(3) / n) / b ** S(3) - a * x ** S(4) * (c * x ** n) ** (-S(2) / n) / (S(2) * b ** S(2)) + x ** S(4) * (c * x ** n) ** (-S(1) / n) / (S(3) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (a + b * (c * x ** n) ** (S(1) / n)), x), x, a ** S(2) * x ** S(3) * (c * x ** n) ** (-S(3) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b ** S(3) - a * x ** S(3) * (c * x ** n) ** (-S(2) / n) / b ** S(2) + x ** S(3) * (c * x ** n) ** (-S(1) / n) / (S(2) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (a + b * (c * x ** n) ** (S(1) / n)), x), x, -a * x ** S(2) * (c * x ** n) ** (-S(2) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b ** S(2) + x ** S(2) * (c * x ** n) ** (-S(1) / n) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * (c * x ** n) ** (S(1) / n)), x), x, x * (c * x ** n) ** (-S(1) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (a + b * (c * x ** n) ** (S(1) / n))), x), x, log(x) / a - log(a + b * (c * x ** n) ** (S(1) / n)) / a, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (a + b * (c * x ** n) ** (S(1) / n))), x), x, -S(1) / (a * x) - b * (c * x ** n) ** (S(1) / n) * log(x) / (a ** S(2) * x) + b * (c * x ** n) ** (S(1) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / (a ** S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * (a + b * (c * x ** n) ** (S(1) / n))), x), x, -S(1) / (S(2) * a * x ** S(2)) + b * (c * x ** n) ** (S(1) / n) / (a ** S(2) * x ** S(2)) + b ** S(2) * (c * x ** n) ** (S(2) / n) * log(x) / (a ** S(3) * x ** S(2)) - b ** S(2) * (c * x ** n) ** (S(2) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / (a ** S(3) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (a + b * (c * x ** n) ** (S(1) / n)) ** S(2), x), x, a ** S(3) * x ** S(4) * (c * x ** n) ** (-S(4) / n) / (b ** S(4) * (a + b * (c * x ** n) ** (S(1) / n))) + S(3) * a ** S(2) * x ** S(4) * (c * x ** n) ** (-S(4) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b ** S(4) - S(2) * a * x ** S(4) * (c * x ** n) ** (-S(3) / n) / b ** S(3) + x ** S(4) * (c * x ** n) ** (-S(2) / n) / (S(2) * b ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (a + b * (c * x ** n) ** (S(1) / n)) ** S(2), x), x, -(a ** S(2)) * x ** S(3) * (c * x ** n) ** (-S(3) / n) / (b ** S(3) * (a + b * (c * x ** n) ** (S(1) / n))) - S(2) * a * x ** S(3) * (c * x ** n) ** (-S(3) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b ** S(3) + x ** S(3) * (c * x ** n) ** (-S(2) / n) / b ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (a + b * (c * x ** n) ** (S(1) / n)) ** S(2), x), x, a * x ** S(2) * (c * x ** n) ** (-S(2) / n) / (b ** S(2) * (a + b * (c * x ** n) ** (S(1) / n))) + x ** S(2) * (c * x ** n) ** (-S(2) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** (S(-2)), x), x, -x * (c * x ** n) ** (-S(1) / n) / (b * (a + b * (c * x ** n) ** (S(1) / n))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (a + b * (c * x ** n) ** (S(1) / n)) ** S(2)), x), x, S(1) / (a * (a + b * (c * x ** n) ** (S(1) / n))) + log(x) / a ** S(2) - log(a + b * (c * x ** n) ** (S(1) / n)) / a ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(2) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(2)), x ), x, -b * (c * x ** n) ** (S(1) / n) / (a ** S(2) * x * (a + b * (c * x ** n) ** (S(1) / n))) - S(1) / (a ** S(2) * x) - S(2) * b * (c * x ** n) ** (S(1) / n) * log(x) / (a ** S(3) * x) + S(2) * b * (c * x ** n) ** (S(1) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / (a ** S(3) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(3) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(2)), x ), x, -S(1) / (S(2) * a ** S(2) * x ** S(2)) + b ** S(2) * (c * x ** n) ** (S(2) / n) / (a ** S(3) * x ** S(2) * (a + b * (c * x ** n) ** (S(1) / n))) + S(2) * b * (c * x ** n) ** (S(1) / n) / (a ** S(3) * x ** S(2)) + S(3) * b ** S(2) * (c * x ** n) ** (S(2) / n) * log(x) / (a ** S(4) * x ** S(2)) - S(3) * b ** S(2) * (c * x ** n) ** (S(2) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / (a ** S(4) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * (c * x ** n) ** (S(1) / n)) ** p, x), x, -(a ** S(3)) * x ** S(4) * (c * x ** n) ** (-S(4) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(1)) / (b ** S(4) * (p + S(1))) + S(3) * a ** S(2) * x ** S(4) * (c * x ** n) ** (-S(4) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(2)) / (b ** S(4) * (p + S(2))) - S(3) * a * x ** S(4) * (c * x ** n) ** (-S(4) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(3)) / (b ** S(4) * (p + S(3))) + x ** S(4) * (c * x ** n) ** (-S(4) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(4)) / (b ** S(4) * (p + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * (c * x ** n) ** (S(1) / n)) ** p, x), x, a ** S(2) * x ** S(3) * (c * x ** n) ** (-S(3) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(1)) / (b ** S(3) * (p + S(1))) - S(2) * a * x ** S(3) * (c * x ** n) ** (-S(3) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(2)) / (b ** S(3) * (p + S(2))) + x ** S(3) * (c * x ** n) ** (-S(3) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(3)) / (b ** S(3) * (p + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * (c * x ** n) ** (S(1) / n)) ** p, x), x, -a * x ** S(2) * (c * x ** n) ** (-S(2) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(1)) / (b ** S(2) * (p + S(1))) + x ** S(2) * (c * x ** n) ** (-S(2) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(2)) / (b ** S(2) * (p + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** p, x), x, x * (c * x ** n) ** (-S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(1)) / (b * (p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x ** n) ** (S(1) / n)) ** p / x, x), x, -((a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(1))) * hyper( (S(1), p + S(1)), (p + S(2),), S(1) + b * (c * x ** n) ** (S(1) / n) / a ) / (a * (p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((x ** n) ** (S(1) / n) + S(1)) ** S(2), x), x, x ** S(2) * (x ** n) ** (-S(2) / n) * log((x ** n) ** (S(1) / n) + S(1)) + x ** S(2) * (x ** n) ** (-S(2) / n) / ((x ** n) ** (S(1) / n) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (a * (b * x ** n) ** p) ** q, x), x, x ** (m + S(1)) * (a * (b * x ** n) ** p) ** q / (m + n * p * q + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a * (b * x ** n) ** p) ** q, x), x, x ** S(3) * (a * (b * x ** n) ** p) ** q / (n * p * q + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a * (b * x ** n) ** p) ** q, x), x, x ** S(2) * (a * (b * x ** n) ** p) ** q / (n * p * q + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * (b * x ** n) ** p) ** q, x), x, x * (a * (b * x ** n) ** p) ** q / (n * p * q + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * (b * x ** n) ** p) ** q / x, x), x, (a * (b * x ** n) ** p) ** q / (n * p * q), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * (b * x ** n) ** p) ** q / x ** S(2), x), x, -((a * (b * x ** n) ** p) ** q) / (x * (-n * p * q + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * (b * x ** n) ** p) ** q / x ** S(3), x), x, -((a * (b * x ** n) ** p) ** q) / (x ** S(2) * (-n * p * q + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a * (b * x ** m) ** n) ** (-S(1) / (m * n)), x), x, x ** S(3) * (a * (b * x ** m) ** n) ** (-S(1) / (m * n)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a * (b * x ** m) ** n) ** (-S(1) / (m * n)), x), x, x ** S(2) * (a * (b * x ** m) ** n) ** (-S(1) / (m * n)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * (b * x ** m) ** n) ** (-S(1) / (m * n)), x), x, x * (a * (b * x ** m) ** n) ** (-S(1) / (m * n)) * log(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * (b * x ** m) ** n) ** (-S(1) / (m * n)) / x, x), x, -((a * (b * x ** m) ** n) ** (-S(1) / (m * n))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * (b * x ** m) ** n) ** (-S(1) / (m * n)) / x ** S(2), x), x, -((a * (b * x ** m) ** n) ** (-S(1) / (m * n))) / (S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** (-n * p * q + S(2)) * (a * (b * x ** n) ** p) ** q, x), x, x ** (-n * p * q + S(3)) * (a * (b * x ** n) ** p) ** q / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** (-n * p * q + S(1)) * (a * (b * x ** n) ** p) ** q, x), x, x ** (-n * p * q + S(2)) * (a * (b * x ** n) ** p) ** q / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** (-n * p * q) * (a * (b * x ** n) ** p) ** q, x), x, x ** (-n * p * q + S(1)) * (a * (b * x ** n) ** p) ** q, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** (-n * p * q + S(-1)) * (a * (b * x ** n) ** p) ** q, x), x, x ** (-n * p * q) * (a * (b * x ** n) ** p) ** q * log(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** (-n * p * q + S(-2)) * (a * (b * x ** n) ** p) ** q, x), x, -(x ** (-n * p * q + S(-1))) * (a * (b * x ** n) ** p) ** q, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** n, x), x, -(a ** S(3)) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(4) * x * (n + S(1))) + S(3) * a ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(4) * x * (n + S(2))) - S(3) * a * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(4) * x * (n + S(3))) + sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(4)) / (b ** S(4) * x * (n + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(c * x ** S(2)) * (a + b * x) ** n, x), x, a ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(3) * x * (n + S(1))) - S(2) * a * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(3) * x * (n + S(2))) + sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(3) * x * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** n, x), x, -a * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(2) * x * (n + S(1))) + sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(2) * x * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** n / x, x), x, sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** n / x ** S(2), x), x, -sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** n / x ** S(3), x), x, b * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) * hyper((S(2), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(2) * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** n / x ** S(4), x), x, -(b ** S(2)) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) * hyper((S(3), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(3) * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** n, x), x, a ** S(4) * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(5) * x * (n + S(1))) - S(4) * a ** S(3) * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(5) * x * (n + S(2))) + S(6) * a ** S(2) * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(5) * x * (n + S(3))) - S(4) * a * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(4)) / (b ** S(5) * x * (n + S(4))) + c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(5)) / (b ** S(5) * x * (n + S(5))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** n, x), x, -(a ** S(3)) * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(4) * x * (n + S(1))) + S(3) * a ** S(2) * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(4) * x * (n + S(2))) - S(3) * a * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(4) * x * (n + S(3))) + c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(4)) / (b ** S(4) * x * (n + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** n / x, x), x, a ** S(2) * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(3) * x * (n + S(1))) - S(2) * a * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(3) * x * (n + S(2))) + c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(3) * x * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** n / x ** S(2), x), x, -a * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(2) * x * (n + S(1))) + c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(2) * x * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** n / x ** S(3), x), x, c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** n / x ** S(4), x), x, -c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** n / x ** S(5), x), x, b * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) * hyper((S(2), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(2) * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** n / x ** S(6), x), x, -(b ** S(2)) * c * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) * hyper((S(3), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(3) * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** n, x), x, -(a ** S(5)) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(6) * x * (n + S(1))) + S(5) * a ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(6) * x * (n + S(2))) - S(10) * a ** S(3) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(6) * x * (n + S(3))) + S(10) * a ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(4)) / (b ** S(6) * x * (n + S(4))) - S(5) * a * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(5)) / (b ** S(6) * x * (n + S(5))) + c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(6)) / (b ** S(6) * x * (n + S(6))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** n / x, x), x, a ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(5) * x * (n + S(1))) - S(4) * a ** S(3) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(5) * x * (n + S(2))) + S(6) * a ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(5) * x * (n + S(3))) - S(4) * a * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(4)) / (b ** S(5) * x * (n + S(4))) + c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(5)) / (b ** S(5) * x * (n + S(5))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** n / x ** S(2), x), x, -(a ** S(3)) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(4) * x * (n + S(1))) + S(3) * a ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(4) * x * (n + S(2))) - S(3) * a * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(4) * x * (n + S(3))) + c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(4)) / (b ** S(4) * x * (n + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** n / x ** S(3), x), x, a ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(3) * x * (n + S(1))) - S(2) * a * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(3) * x * (n + S(2))) + c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(3)) / (b ** S(3) * x * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** n / x ** S(4), x), x, -a * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(2) * x * (n + S(1))) + c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(2) * x * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** n / x ** S(5), x), x, c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** n / x ** S(6), x), x, -(c ** S(2)) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** n / x ** S(7), x), x, b * c ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) * hyper((S(2), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(2) * x * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) * (a + b * x) ** n / sqrt(c * x ** S(2)), x), x, -(a ** S(3)) * x * (a + b * x) ** (n + S(1)) / (b ** S(4) * sqrt(c * x ** S(2)) * (n + S(1))) + S(3) * a ** S(2) * x * (a + b * x) ** (n + S(2)) / (b ** S(4) * sqrt(c * x ** S(2)) * (n + S(2))) - S(3) * a * x * (a + b * x) ** (n + S(3)) / (b ** S(4) * sqrt(c * x ** S(2)) * (n + S(3))) + x * (a + b * x) ** (n + S(4)) / (b ** S(4) * sqrt(c * x ** S(2)) * (n + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * x) ** n / sqrt(c * x ** S(2)), x), x, a ** S(2) * x * (a + b * x) ** (n + S(1)) / (b ** S(3) * sqrt(c * x ** S(2)) * (n + S(1))) - S(2) * a * x * (a + b * x) ** (n + S(2)) / (b ** S(3) * sqrt(c * x ** S(2)) * (n + S(2))) + x * (a + b * x) ** (n + S(3)) / (b ** S(3) * sqrt(c * x ** S(2)) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) ** n / sqrt(c * x ** S(2)), x), x, -a * sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(1)) / (b ** S(2) * c * x * (n + S(1))) + sqrt(c * x ** S(2)) * (a + b * x) ** (n + S(2)) / (b ** S(2) * c * x * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** n / sqrt(c * x ** S(2)), x), x, x * (a + b * x) ** (n + S(1)) / (b * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n / sqrt(c * x ** S(2)), x), x, -x * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n / (x * sqrt(c * x ** S(2))), x), x, b * x * (a + b * x) ** (n + S(1)) * hyper((S(2), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n / (x ** S(2) * sqrt(c * x ** S(2))), x), x, -(b ** S(2)) * x * (a + b * x) ** (n + S(1)) * hyper((S(3), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(3) * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n / (x ** S(3) * sqrt(c * x ** S(2))), x), x, b ** S(3) * x * (a + b * x) ** (n + S(1)) * hyper((S(4), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(4) * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(6) * (a + b * x) ** n / (c * x ** S(2)) ** (S(3) / 2), x), x, -(a ** S(3)) * x * (a + b * x) ** (n + S(1)) / (b ** S(4) * c * sqrt(c * x ** S(2)) * (n + S(1))) + S(3) * a ** S(2) * x * (a + b * x) ** (n + S(2)) / (b ** S(4) * c * sqrt(c * x ** S(2)) * (n + S(2))) - S(3) * a * x * (a + b * x) ** (n + S(3)) / (b ** S(4) * c * sqrt(c * x ** S(2)) * (n + S(3))) + x * (a + b * x) ** (n + S(4)) / (b ** S(4) * c * sqrt(c * x ** S(2)) * (n + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(5) * (a + b * x) ** n / (c * x ** S(2)) ** (S(3) / 2), x), x, a ** S(2) * x * (a + b * x) ** (n + S(1)) / (b ** S(3) * c * sqrt(c * x ** S(2)) * (n + S(1))) - S(2) * a * x * (a + b * x) ** (n + S(2)) / (b ** S(3) * c * sqrt(c * x ** S(2)) * (n + S(2))) + x * (a + b * x) ** (n + S(3)) / (b ** S(3) * c * sqrt(c * x ** S(2)) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) * (a + b * x) ** n / (c * x ** S(2)) ** (S(3) / 2), x), x, -a * x * (a + b * x) ** (n + S(1)) / (b ** S(2) * c * sqrt(c * x ** S(2)) * (n + S(1))) + x * (a + b * x) ** (n + S(2)) / (b ** S(2) * c * sqrt(c * x ** S(2)) * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * x) ** n / (c * x ** S(2)) ** (S(3) / 2), x), x, x * (a + b * x) ** (n + S(1)) / (b * c * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) ** n / (c * x ** S(2)) ** (S(3) / 2), x), x, -x * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * c * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** n / (c * x ** S(2)) ** (S(3) / 2), x), x, b * x * (a + b * x) ** (n + S(1)) * hyper((S(2), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(2) * c * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n / (c * x ** S(2)) ** (S(3) / 2), x), x, -(b ** S(2)) * x * (a + b * x) ** (n + S(1)) * hyper((S(3), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(3) * c * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** n / (x * (c * x ** S(2)) ** (S(3) / 2)), x), x, b ** S(3) * x * (a + b * x) ** (n + S(1)) * hyper((S(4), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(4) * c * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(8) * (a + b * x) ** n / (c * x ** S(2)) ** (S(5) / 2), x), x, -(a ** S(3)) * x * (a + b * x) ** (n + S(1)) / (b ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))) + S(3) * a ** S(2) * x * (a + b * x) ** (n + S(2)) / (b ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(2))) - S(3) * a * x * (a + b * x) ** (n + S(3)) / (b ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(3))) + x * (a + b * x) ** (n + S(4)) / (b ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(7) * (a + b * x) ** n / (c * x ** S(2)) ** (S(5) / 2), x), x, a ** S(2) * x * (a + b * x) ** (n + S(1)) / (b ** S(3) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))) - S(2) * a * x * (a + b * x) ** (n + S(2)) / (b ** S(3) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(2))) + x * (a + b * x) ** (n + S(3)) / (b ** S(3) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(6) * (a + b * x) ** n / (c * x ** S(2)) ** (S(5) / 2), x), x, -a * x * (a + b * x) ** (n + S(1)) / (b ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))) + x * (a + b * x) ** (n + S(2)) / (b ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(5) * (a + b * x) ** n / (c * x ** S(2)) ** (S(5) / 2), x), x, x * (a + b * x) ** (n + S(1)) / (b * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) * (a + b * x) ** n / (c * x ** S(2)) ** (S(5) / 2), x), x, -x * (a + b * x) ** (n + S(1)) * hyper((S(1), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * x) ** n / (c * x ** S(2)) ** (S(5) / 2), x), x, b * x * (a + b * x) ** (n + S(1)) * hyper((S(2), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) ** n / (c * x ** S(2)) ** (S(5) / 2), x), x, -(b ** S(2)) * x * (a + b * x) ** (n + S(1)) * hyper((S(3), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(3) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** n / (c * x ** S(2)) ** (S(5) / 2), x), x, b ** S(3) * x * (a + b * x) ** (n + S(1)) * hyper((S(4), n + S(1)), (n + S(2),), S(1) + b * x / a) / (a ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * sqrt(c * x ** S(2)) * (a + b * x), x), x, a * x ** (m + S(1)) * sqrt(c * x ** S(2)) / (m + S(2)) + b * x ** (m + S(2)) * sqrt(c * x ** S(2)) / (m + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * sqrt(c * x ** S(2)) * (a + b * x), x), x, a * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + b * x ** S(5) * sqrt(c * x ** S(2)) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt(c * x ** S(2)) * (a + b * x), x), x, a * x ** S(3) * sqrt(c * x ** S(2)) / S(4) + b * x ** S(4) * sqrt(c * x ** S(2)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(c * x ** S(2)) * (a + b * x), x), x, a * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + b * x ** S(3) * sqrt(c * x ** S(2)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x), x), x, a * x * sqrt(c * x ** S(2)) / S(2) + b * x ** S(2) * sqrt(c * x ** S(2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) / x, x), x, a * sqrt(c * x ** S(2)) + b * x * sqrt(c * x ** S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) / x ** S(2), x), x, a * sqrt(c * x ** S(2)) * log(x) / x + b * sqrt(c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) / x ** S(3), x), x, -a * sqrt(c * x ** S(2)) / x ** S(2) + b * sqrt(c * x ** S(2)) * log(x) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) / x ** S(4), x), x, -a * sqrt(c * x ** S(2)) / (S(2) * x ** S(3)) - b * sqrt(c * x ** S(2)) / x ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x), x), x, a * c * x ** (m + S(3)) * sqrt(c * x ** S(2)) / (m + S(4)) + b * c * x ** (m + S(4)) * sqrt(c * x ** S(2)) / (m + S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x), x), x, a * c * x ** S(6) * sqrt(c * x ** S(2)) / S(7) + b * c * x ** S(7) * sqrt(c * x ** S(2)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x), x), x, a * c * x ** S(5) * sqrt(c * x ** S(2)) / S(6) + b * c * x ** S(6) * sqrt(c * x ** S(2)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x), x), x, a * c * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + b * c * x ** S(5) * sqrt(c * x ** S(2)) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x), x), x, a * c * x ** S(3) * sqrt(c * x ** S(2)) / S(4) + b * c * x ** S(4) * sqrt(c * x ** S(2)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) / x, x), x, a * c * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + b * c * x ** S(3) * sqrt(c * x ** S(2)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) / x ** S(2), x), x, a * c * x * sqrt(c * x ** S(2)) / S(2) + b * c * x ** S(2) * sqrt(c * x ** S(2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) / x ** S(3), x), x, a * c * sqrt(c * x ** S(2)) + b * c * x * sqrt(c * x ** S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) / x ** S(4), x), x, a * c * sqrt(c * x ** S(2)) * log(x) / x + b * c * sqrt(c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (c * x ** S(2)) ** (S(5) / 2) * (a + b * x), x), x, a * c ** S(2) * x ** (m + S(5)) * sqrt(c * x ** S(2)) / (m + S(6)) + b * c ** S(2) * x ** (m + S(6)) * sqrt(c * x ** S(2)) / (m + S(7)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (c * x ** S(2)) ** (S(5) / 2) * (a + b * x), x), x, a * c ** S(2) * x ** S(8) * sqrt(c * x ** S(2)) / S(9) + b * c ** S(2) * x ** S(9) * sqrt(c * x ** S(2)) / S(10), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (c * x ** S(2)) ** (S(5) / 2) * (a + b * x), x), x, a * c ** S(2) * x ** S(7) * sqrt(c * x ** S(2)) / S(8) + b * c ** S(2) * x ** S(8) * sqrt(c * x ** S(2)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c * x ** S(2)) ** (S(5) / 2) * (a + b * x), x), x, a * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2)) / S(7) + b * c ** S(2) * x ** S(7) * sqrt(c * x ** S(2)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x), x), x, a * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2)) / S(6) + b * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) / x, x), x, a * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + b * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2)) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) / x ** S(2), x), x, a * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / S(4) + b * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) / x ** S(3), x), x, a * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + b * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) / x ** S(4), x), x, a * c ** S(2) * x * sqrt(c * x ** S(2)) / S(2) + b * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (a + b * x) / sqrt(c * x ** S(2)), x), x, a * x ** (m + S(1)) / (m * sqrt(c * x ** S(2))) + b * x ** (m + S(2)) / (sqrt(c * x ** S(2)) * (m + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * x) / sqrt(c * x ** S(2)), x), x, a * x ** S(4) / (S(3) * sqrt(c * x ** S(2))) + b * x ** S(5) / (S(4) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) / sqrt(c * x ** S(2)), x), x, a * x * sqrt(c * x ** S(2)) / (S(2) * c) + b * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) / sqrt(c * x ** S(2)), x), x, a * x ** S(2) / sqrt(c * x ** S(2)) + b * x ** S(3) / (S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / sqrt(c * x ** S(2)), x), x, a * x * log(x) / sqrt(c * x ** S(2)) + b * x ** S(2) / sqrt(c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x * sqrt(c * x ** S(2))), x), x, -a / sqrt(c * x ** S(2)) + b * x * log(x) / sqrt(c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(2) * sqrt(c * x ** S(2))), x), x, -a / (S(2) * x * sqrt(c * x ** S(2))) - b / sqrt(c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(3) * sqrt(c * x ** S(2))), x), x, -a / (S(3) * x ** S(2) * sqrt(c * x ** S(2))) - b / (S(2) * x * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(4) * sqrt(c * x ** S(2))), x), x, -a / (S(4) * x ** S(3) * sqrt(c * x ** S(2))) - b / (S(3) * x ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (a + b * x) / (c * x ** S(2)) ** (S(3) / 2), x), x, -a * x ** (m + S(-1)) / (c * sqrt(c * x ** S(2)) * (-m + S(2))) - b * x ** m / (c * sqrt(c * x ** S(2)) * (-m + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * x) / (c * x ** S(2)) ** (S(3) / 2), x), x, a * x ** S(2) / (c * sqrt(c * x ** S(2))) + b * x ** S(3) / (S(2) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) / (c * x ** S(2)) ** (S(3) / 2), x), x, a * x * log(x) / (c * sqrt(c * x ** S(2))) + b * x ** S(2) / (c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) / (c * x ** S(2)) ** (S(3) / 2), x), x, -a / (c * sqrt(c * x ** S(2))) + b * x * log(x) / (c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (c * x ** S(2)) ** (S(3) / 2), x), x, -a / (S(2) * c * x * sqrt(c * x ** S(2))) - b / (c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x * (c * x ** S(2)) ** (S(3) / 2)), x), x, -a / (S(3) * c * x ** S(2) * sqrt(c * x ** S(2))) - b / (S(2) * c * x * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(2) * (c * x ** S(2)) ** (S(3) / 2)), x), x, -a / (S(4) * c * x ** S(3) * sqrt(c * x ** S(2))) - b / (S(3) * c * x ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(3) * (c * x ** S(2)) ** (S(3) / 2)), x), x, -a / (S(5) * c * x ** S(4) * sqrt(c * x ** S(2))) - b / (S(4) * c * x ** S(3) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(4) * (c * x ** S(2)) ** (S(3) / 2)), x), x, -a / (S(6) * c * x ** S(5) * sqrt(c * x ** S(2))) - b / (S(5) * c * x ** S(4) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (a + b * x) / (c * x ** S(2)) ** (S(5) / 2), x), x, -a * x ** (m + S(-3)) / (c ** S(2) * sqrt(c * x ** S(2)) * (-m + S(4))) - b * x ** (m + S(-2)) / (c ** S(2) * sqrt(c * x ** S(2)) * (-m + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * x) / (c * x ** S(2)) ** (S(5) / 2), x), x, -a / (c ** S(2) * sqrt(c * x ** S(2))) + b * x * log(x) / (c ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) / (c * x ** S(2)) ** (S(5) / 2), x), x, -a / (S(2) * c ** S(2) * x * sqrt(c * x ** S(2))) - b / (c ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) / (c * x ** S(2)) ** (S(5) / 2), x), x, -a / (S(3) * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2))) - b / (S(2) * c ** S(2) * x * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (c * x ** S(2)) ** (S(5) / 2), x), x, -a / (S(4) * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2))) - b / (S(3) * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x * (c * x ** S(2)) ** (S(5) / 2)), x), x, -a / (S(5) * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2))) - b / (S(4) * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(2) * (c * x ** S(2)) ** (S(5) / 2)), x), x, -a / (S(6) * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2))) - b / (S(5) * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(3) * (c * x ** S(2)) ** (S(5) / 2)), x), x, -a / (S(7) * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2))) - b / (S(6) * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) / (x ** S(4) * (c * x ** S(2)) ** (S(5) / 2)), x), x, -a / (S(8) * c ** S(2) * x ** S(7) * sqrt(c * x ** S(2))) - b / (S(7) * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * sqrt(c * x ** S(2)) * (a + b * x) ** S(2), x), x, a ** S(2) * x ** (m + S(1)) * sqrt(c * x ** S(2)) / (m + S(2)) + S(2) * a * b * x ** (m + S(2)) * sqrt(c * x ** S(2)) / (m + S(3)) + b ** S(2) * x ** (m + S(3)) * sqrt(c * x ** S(2)) / (m + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * sqrt(c * x ** S(2)) * (a + b * x) ** S(2), x), x, a ** S(2) * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + a * b * x ** S(5) * sqrt(c * x ** S(2)) / S(3) + b ** S(2) * x ** S(6) * sqrt(c * x ** S(2)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** S(2), x), x, a ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / S(4) + S(2) * a * b * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + b ** S(2) * x ** S(5) * sqrt(c * x ** S(2)) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(c * x ** S(2)) * (a + b * x) ** S(2), x), x, a ** S(2) * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + a * b * x ** S(3) * sqrt(c * x ** S(2)) / S(2) + b ** S(2) * x ** S(4) * sqrt(c * x ** S(2)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** S(2), x), x, a ** S(2) * x * sqrt(c * x ** S(2)) / S(2) + S(2) * a * b * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + b ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** S(2) / x, x), x, sqrt(c * x ** S(2)) * (a + b * x) ** S(3) / (S(3) * b * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** S(2) / x ** S(2), x), x, a ** S(2) * sqrt(c * x ** S(2)) * log(x) / x + S(2) * a * b * sqrt(c * x ** S(2)) + b ** S(2) * x * sqrt(c * x ** S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** S(2) / x ** S(3), x), x, -(a ** S(2)) * sqrt(c * x ** S(2)) / x ** S(2) + S(2) * a * b * sqrt(c * x ** S(2)) * log(x) / x + b ** S(2) * sqrt(c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) * (a + b * x) ** S(2) / x ** S(4), x), x, -(a ** S(2)) * sqrt(c * x ** S(2)) / (S(2) * x ** S(3)) - S(2) * a * b * sqrt(c * x ** S(2)) / x ** S(2) + b ** S(2) * sqrt(c * x ** S(2)) * log(x) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2), x), x, a ** S(2) * c * x ** (m + S(3)) * sqrt(c * x ** S(2)) / (m + S(4)) + S(2) * a * b * c * x ** (m + S(4)) * sqrt(c * x ** S(2)) / (m + S(5)) + b ** S(2) * c * x ** (m + S(5)) * sqrt(c * x ** S(2)) / (m + S(6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2), x ), x, a ** S(2) * c * x ** S(6) * sqrt(c * x ** S(2)) / S(7) + a * b * c * x ** S(7) * sqrt(c * x ** S(2)) / S(4) + b ** S(2) * c * x ** S(8) * sqrt(c * x ** S(2)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2), x ), x, a ** S(2) * c * x ** S(5) * sqrt(c * x ** S(2)) / S(6) + S(2) * a * b * c * x ** S(6) * sqrt(c * x ** S(2)) / S(7) + b ** S(2) * c * x ** S(7) * sqrt(c * x ** S(2)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2), x), x, a ** S(2) * c * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + a * b * c * x ** S(5) * sqrt(c * x ** S(2)) / S(3) + b ** S(2) * c * x ** S(6) * sqrt(c * x ** S(2)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2), x), x, a ** S(2) * c * x ** S(3) * sqrt(c * x ** S(2)) / S(4) + S(2) * a * b * c * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + b ** S(2) * c * x ** S(5) * sqrt(c * x ** S(2)) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2) / x, x), x, a ** S(2) * c * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + a * b * c * x ** S(3) * sqrt(c * x ** S(2)) / S(2) + b ** S(2) * c * x ** S(4) * sqrt(c * x ** S(2)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2) / x ** S(2), x ), x, a ** S(2) * c * x * sqrt(c * x ** S(2)) / S(2) + S(2) * a * b * c * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + b ** S(2) * c * x ** S(3) * sqrt(c * x ** S(2)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2) / x ** S(3), x ), x, c * sqrt(c * x ** S(2)) * (a + b * x) ** S(3) / (S(3) * b * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2) / x ** S(4), x ), x, a ** S(2) * c * sqrt(c * x ** S(2)) * log(x) / x + S(2) * a * b * c * sqrt(c * x ** S(2)) + b ** S(2) * c * x * sqrt(c * x ** S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2), x), x, a ** S(2) * c ** S(2) * x ** (m + S(5)) * sqrt(c * x ** S(2)) / (m + S(6)) + S(2) * a * b * c ** S(2) * x ** (m + S(6)) * sqrt(c * x ** S(2)) / (m + S(7)) + b ** S(2) * c ** S(2) * x ** (m + S(7)) * sqrt(c * x ** S(2)) / (m + S(8)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2), x ), x, a ** S(2) * c ** S(2) * x ** S(8) * sqrt(c * x ** S(2)) / S(9) + a * b * c ** S(2) * x ** S(9) * sqrt(c * x ** S(2)) / S(5) + b ** S(2) * c ** S(2) * x ** S(10) * sqrt(c * x ** S(2)) / S(11), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2), x ), x, a ** S(2) * c ** S(2) * x ** S(7) * sqrt(c * x ** S(2)) / S(8) + S(2) * a * b * c ** S(2) * x ** S(8) * sqrt(c * x ** S(2)) / S(9) + b ** S(2) * c ** S(2) * x ** S(9) * sqrt(c * x ** S(2)) / S(10), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2), x), x, a ** S(2) * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2)) / S(7) + a * b * c ** S(2) * x ** S(7) * sqrt(c * x ** S(2)) / S(4) + b ** S(2) * c ** S(2) * x ** S(8) * sqrt(c * x ** S(2)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2), x), x, a ** S(2) * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2)) / S(6) + S(2) * a * b * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2)) / S(7) + b ** S(2) * c ** S(2) * x ** S(7) * sqrt(c * x ** S(2)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2) / x, x), x, a ** S(2) * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + a * b * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2)) / S(3) + b ** S(2) * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2)) / S(7), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2) / x ** S(2), x ), x, a ** S(2) * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / S(4) + S(2) * a * b * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2)) / S(5) + b ** S(2) * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2)) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2) / x ** S(3), x ), x, a ** S(2) * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + a * b * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / S(2) + b ** S(2) * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(5) / 2) * (a + b * x) ** S(2) / x ** S(4), x ), x, a ** S(2) * c ** S(2) * x * sqrt(c * x ** S(2)) / S(2) + S(2) * a * b * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2)) / S(3) + b ** S(2) * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (a + b * x) ** S(2) / sqrt(c * x ** S(2)), x), x, a ** S(2) * x ** (m + S(1)) / (m * sqrt(c * x ** S(2))) + S(2) * a * b * x ** (m + S(2)) / (sqrt(c * x ** S(2)) * (m + S(1))) + b ** S(2) * x ** (m + S(3)) / (sqrt(c * x ** S(2)) * (m + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * x) ** S(2) / sqrt(c * x ** S(2)), x), x, a ** S(2) * x ** S(4) / (S(3) * sqrt(c * x ** S(2))) + a * b * x ** S(5) / (S(2) * sqrt(c * x ** S(2))) + b ** S(2) * x ** S(6) / (S(5) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * x) ** S(2) / sqrt(c * x ** S(2)), x), x, a ** S(2) * x * sqrt(c * x ** S(2)) / (S(2) * c) + S(2) * a * b * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * c) + b ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / (S(4) * c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** S(2) / sqrt(c * x ** S(2)), x), x, x * (a + b * x) ** S(3) / (S(3) * b * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / sqrt(c * x ** S(2)), x), x, a ** S(2) * x * log(x) / sqrt(c * x ** S(2)) + S(2) * a * b * x ** S(2) / sqrt(c * x ** S(2)) + b ** S(2) * x ** S(3) / (S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / (x * sqrt(c * x ** S(2))), x), x, -(a ** S(2)) / sqrt(c * x ** S(2)) + S(2) * a * b * x * log(x) / sqrt(c * x ** S(2)) + b ** S(2) * x ** S(2) / sqrt(c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / (x ** S(2) * sqrt(c * x ** S(2))), x), x, -(a ** S(2)) / (S(2) * x * sqrt(c * x ** S(2))) - S(2) * a * b / sqrt(c * x ** S(2)) + b ** S(2) * x * log(x) / sqrt(c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / (x ** S(3) * sqrt(c * x ** S(2))), x), x, -((a + b * x) ** S(3)) / (S(3) * a * x ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / (x ** S(4) * sqrt(c * x ** S(2))), x), x, -(a ** S(2)) / (S(4) * x ** S(3) * sqrt(c * x ** S(2))) - S(2) * a * b / (S(3) * x ** S(2) * sqrt(c * x ** S(2))) - b ** S(2) / (S(2) * x * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (a + b * x) ** S(2) / (c * x ** S(2)) ** (S(3) / 2), x), x, -(a ** S(2)) * x ** (m + S(-1)) / (c * sqrt(c * x ** S(2)) * (-m + S(2))) - S(2) * a * b * x ** m / (c * sqrt(c * x ** S(2)) * (-m + S(1))) + b ** S(2) * x ** (m + S(1)) / (c * m * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (a + b * x) ** S(2) / (c * x ** S(2)) ** (S(3) / 2), x ), x, x * (a + b * x) ** S(3) / (S(3) * b * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (a + b * x) ** S(2) / (c * x ** S(2)) ** (S(3) / 2), x ), x, a ** S(2) * x * log(x) / (c * sqrt(c * x ** S(2))) + S(2) * a * b * x ** S(2) / (c * sqrt(c * x ** S(2))) + b ** S(2) * x ** S(3) / (S(2) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** S(2) / (c * x ** S(2)) ** (S(3) / 2), x), x, -(a ** S(2)) / (c * sqrt(c * x ** S(2))) + S(2) * a * b * x * log(x) / (c * sqrt(c * x ** S(2))) + b ** S(2) * x ** S(2) / (c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / (c * x ** S(2)) ** (S(3) / 2), x), x, -(a ** S(2)) / (S(2) * c * x * sqrt(c * x ** S(2))) - S(2) * a * b / (c * sqrt(c * x ** S(2))) + b ** S(2) * x * log(x) / (c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / (x * (c * x ** S(2)) ** (S(3) / 2)), x), x, -((a + b * x) ** S(3)) / (S(3) * a * c * x ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) ** S(2) / (x ** S(2) * (c * x ** S(2)) ** (S(3) / 2)), x ), x, -(a ** S(2)) / (S(4) * c * x ** S(3) * sqrt(c * x ** S(2))) - S(2) * a * b / (S(3) * c * x ** S(2) * sqrt(c * x ** S(2))) - b ** S(2) / (S(2) * c * x * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) ** S(2) / (x ** S(3) * (c * x ** S(2)) ** (S(3) / 2)), x ), x, -(a ** S(2)) / (S(5) * c * x ** S(4) * sqrt(c * x ** S(2))) - a * b / (S(2) * c * x ** S(3) * sqrt(c * x ** S(2))) - b ** S(2) / (S(3) * c * x ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) ** S(2) / (x ** S(4) * (c * x ** S(2)) ** (S(3) / 2)), x ), x, -(a ** S(2)) / (S(6) * c * x ** S(5) * sqrt(c * x ** S(2))) - S(2) * a * b / (S(5) * c * x ** S(4) * sqrt(c * x ** S(2))) - b ** S(2) / (S(4) * c * x ** S(3) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * (a + b * x) ** S(2) / (c * x ** S(2)) ** (S(5) / 2), x), x, -(a ** S(2)) * x ** (m + S(-3)) / (c ** S(2) * sqrt(c * x ** S(2)) * (-m + S(4))) - S(2) * a * b * x ** (m + S(-2)) / (c ** S(2) * sqrt(c * x ** S(2)) * (-m + S(3))) - b ** S(2) * x ** (m + S(-1)) / (c ** S(2) * sqrt(c * x ** S(2)) * (-m + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (a + b * x) ** S(2) / (c * x ** S(2)) ** (S(5) / 2), x ), x, -(a ** S(2)) / (c ** S(2) * sqrt(c * x ** S(2))) + S(2) * a * b * x * log(x) / (c ** S(2) * sqrt(c * x ** S(2))) + b ** S(2) * x ** S(2) / (c ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (a + b * x) ** S(2) / (c * x ** S(2)) ** (S(5) / 2), x ), x, -(a ** S(2)) / (S(2) * c ** S(2) * x * sqrt(c * x ** S(2))) - S(2) * a * b / (c ** S(2) * sqrt(c * x ** S(2))) + b ** S(2) * x * log(x) / (c ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * x) ** S(2) / (c * x ** S(2)) ** (S(5) / 2), x), x, -((a + b * x) ** S(3)) / (S(3) * a * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / (c * x ** S(2)) ** (S(5) / 2), x), x, -(a ** S(2)) / (S(4) * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2))) - S(2) * a * b / (S(3) * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2))) - b ** S(2) / (S(2) * c ** S(2) * x * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) ** S(2) / (x * (c * x ** S(2)) ** (S(5) / 2)), x), x, -(a ** S(2)) / (S(5) * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2))) - a * b / (S(2) * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2))) - b ** S(2) / (S(3) * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) ** S(2) / (x ** S(2) * (c * x ** S(2)) ** (S(5) / 2)), x ), x, -(a ** S(2)) / (S(6) * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2))) - S(2) * a * b / (S(5) * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2))) - b ** S(2) / (S(4) * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) ** S(2) / (x ** S(3) * (c * x ** S(2)) ** (S(5) / 2)), x ), x, -(a ** S(2)) / (S(7) * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2))) - a * b / (S(3) * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2))) - b ** S(2) / (S(5) * c ** S(2) * x ** S(4) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) ** S(2) / (x ** S(4) * (c * x ** S(2)) ** (S(5) / 2)), x ), x, -(a ** S(2)) / (S(8) * c ** S(2) * x ** S(7) * sqrt(c * x ** S(2))) - S(2) * a * b / (S(7) * c ** S(2) * x ** S(6) * sqrt(c * x ** S(2))) - b ** S(2) / (S(6) * c ** S(2) * x ** S(5) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * sqrt(c * x ** S(2)) / (a + b * x), x), x, a ** S(4) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(5) * x) - a ** S(3) * sqrt(c * x ** S(2)) / b ** S(4) + a ** S(2) * x * sqrt(c * x ** S(2)) / (S(2) * b ** S(3)) - a * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b ** S(2)) + x ** S(3) * sqrt(c * x ** S(2)) / (S(4) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt(c * x ** S(2)) / (a + b * x), x), x, -(a ** S(3)) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(4) * x) + a ** S(2) * sqrt(c * x ** S(2)) / b ** S(3) - a * x * sqrt(c * x ** S(2)) / (S(2) * b ** S(2)) + x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(c * x ** S(2)) / (a + b * x), x), x, a ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(3) * x) - a * sqrt(c * x ** S(2)) / b ** S(2) + x * sqrt(c * x ** S(2)) / (S(2) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (a + b * x), x), x, -a * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(2) * x) + sqrt(c * x ** S(2)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (x * (a + b * x)), x), x, sqrt(c * x ** S(2)) * log(a + b * x) / (b * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (x ** S(2) * (a + b * x)), x), x, sqrt(c * x ** S(2)) * log(x) / (a * x) - sqrt(c * x ** S(2)) * log(a + b * x) / (a * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (x ** S(3) * (a + b * x)), x), x, -sqrt(c * x ** S(2)) / (a * x ** S(2)) - b * sqrt(c * x ** S(2)) * log(x) / (a ** S(2) * x) + b * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (x ** S(4) * (a + b * x)), x), x, -sqrt(c * x ** S(2)) / (S(2) * a * x ** S(3)) + b * sqrt(c * x ** S(2)) / (a ** S(2) * x ** S(2)) + b ** S(2) * sqrt(c * x ** S(2)) * log(x) / (a ** S(3) * x) - b ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(3) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c * x ** S(2)) ** (S(3) / 2) / (a + b * x), x), x, a ** S(4) * c * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(5) * x) - a ** S(3) * c * sqrt(c * x ** S(2)) / b ** S(4) + a ** S(2) * c * x * sqrt(c * x ** S(2)) / (S(2) * b ** S(3)) - a * c * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b ** S(2)) + c * x ** S(3) * sqrt(c * x ** S(2)) / (S(4) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (a + b * x), x), x, -(a ** S(3)) * c * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(4) * x) + a ** S(2) * c * sqrt(c * x ** S(2)) / b ** S(3) - a * c * x * sqrt(c * x ** S(2)) / (S(2) * b ** S(2)) + c * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (x * (a + b * x)), x), x, a ** S(2) * c * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(3) * x) - a * c * sqrt(c * x ** S(2)) / b ** S(2) + c * x * sqrt(c * x ** S(2)) / (S(2) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (x ** S(2) * (a + b * x)), x), x, -a * c * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(2) * x) + c * sqrt(c * x ** S(2)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (x ** S(3) * (a + b * x)), x), x, c * sqrt(c * x ** S(2)) * log(a + b * x) / (b * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (x ** S(4) * (a + b * x)), x), x, c * sqrt(c * x ** S(2)) * log(x) / (a * x) - c * sqrt(c * x ** S(2)) * log(a + b * x) / (a * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (x ** S(5) * (a + b * x)), x), x, -c * sqrt(c * x ** S(2)) / (a * x ** S(2)) - b * c * sqrt(c * x ** S(2)) * log(x) / (a ** S(2) * x) + b * c * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (x ** S(6) * (a + b * x)), x), x, -c * sqrt(c * x ** S(2)) / (S(2) * a * x ** S(3)) + b * c * sqrt(c * x ** S(2)) / (a ** S(2) * x ** S(2)) + b ** S(2) * c * sqrt(c * x ** S(2)) * log(x) / (a ** S(3) * x) - b ** S(2) * c * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(3) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (x ** S(7) * (a + b * x)), x), x, -c * sqrt(c * x ** S(2)) / (S(3) * a * x ** S(4)) + b * c * sqrt(c * x ** S(2)) / (S(2) * a ** S(2) * x ** S(3)) - b ** S(2) * c * sqrt(c * x ** S(2)) / (a ** S(3) * x ** S(2)) - b ** S(3) * c * sqrt(c * x ** S(2)) * log(x) / (a ** S(4) * x) + b ** S(3) * c * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(4) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) / (a + b * x), x), x, -(a ** S(5)) * c ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(6) * x) + a ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) / b ** S(5) - a ** S(3) * c ** S(2) * x * sqrt(c * x ** S(2)) / (S(2) * b ** S(4)) + a ** S(2) * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b ** S(3)) - a * c ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / (S(4) * b ** S(2)) + c ** S(2) * x ** S(4) * sqrt(c * x ** S(2)) / (S(5) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) / (x * (a + b * x)), x), x, a ** S(4) * c ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(5) * x) - a ** S(3) * c ** S(2) * sqrt(c * x ** S(2)) / b ** S(4) + a ** S(2) * c ** S(2) * x * sqrt(c * x ** S(2)) / (S(2) * b ** S(3)) - a * c ** S(2) * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b ** S(2)) + c ** S(2) * x ** S(3) * sqrt(c * x ** S(2)) / (S(4) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) / (x ** S(2) * (a + b * x)), x), x, -(a ** S(3)) * c ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(4) * x) + a ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) / b ** S(3) - a * c ** S(2) * x * sqrt(c * x ** S(2)) / (S(2) * b ** S(2)) + c ** S(2) * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) / (x ** S(3) * (a + b * x)), x), x, a ** S(2) * c ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(3) * x) - a * c ** S(2) * sqrt(c * x ** S(2)) / b ** S(2) + c ** S(2) * x * sqrt(c * x ** S(2)) / (S(2) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) / (x ** S(4) * (a + b * x)), x), x, -a * c ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(2) * x) + c ** S(2) * sqrt(c * x ** S(2)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) / (x ** S(5) * (a + b * x)), x), x, c ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (b * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) / (x ** S(6) * (a + b * x)), x), x, c ** S(2) * sqrt(c * x ** S(2)) * log(x) / (a * x) - c ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (a * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(5) / 2) / (x ** S(7) * (a + b * x)), x), x, -(c ** S(2)) * sqrt(c * x ** S(2)) / (a * x ** S(2)) - b * c ** S(2) * sqrt(c * x ** S(2)) * log(x) / (a ** S(2) * x) + b * c ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) / (sqrt(c * x ** S(2)) * (a + b * x)), x), x, -(a ** S(3)) * x * log(a + b * x) / (b ** S(4) * sqrt(c * x ** S(2))) + a ** S(2) * x ** S(2) / (b ** S(3) * sqrt(c * x ** S(2))) - a * x ** S(3) / (S(2) * b ** S(2) * sqrt(c * x ** S(2))) + x ** S(4) / (S(3) * b * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (sqrt(c * x ** S(2)) * (a + b * x)), x), x, a ** S(2) * x * log(a + b * x) / (b ** S(3) * sqrt(c * x ** S(2))) - a * x ** S(2) / (b ** S(2) * sqrt(c * x ** S(2))) + x ** S(3) / (S(2) * b * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(c * x ** S(2)) * (a + b * x)), x), x, -a * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(2) * c * x) + sqrt(c * x ** S(2)) / (b * c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(c * x ** S(2)) * (a + b * x)), x), x, x * log(a + b * x) / (b * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(c * x ** S(2)) * (a + b * x)), x), x, x * log(x) / (a * sqrt(c * x ** S(2))) - x * log(a + b * x) / (a * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(c * x ** S(2)) * (a + b * x)), x), x, -S(1) / (a * sqrt(c * x ** S(2))) - b * x * log(x) / (a ** S(2) * sqrt(c * x ** S(2))) + b * x * log(a + b * x) / (a ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * sqrt(c * x ** S(2)) * (a + b * x)), x), x, -S(1) / (S(2) * a * x * sqrt(c * x ** S(2))) + b / (a ** S(2) * sqrt(c * x ** S(2))) + b ** S(2) * x * log(x) / (a ** S(3) * sqrt(c * x ** S(2))) - b ** S(2) * x * log(a + b * x) / (a ** S(3) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * sqrt(c * x ** S(2)) * (a + b * x)), x), x, -S(1) / (S(3) * a * x ** S(2) * sqrt(c * x ** S(2))) + b / (S(2) * a ** S(2) * x * sqrt(c * x ** S(2))) - b ** S(2) / (a ** S(3) * sqrt(c * x ** S(2))) - b ** S(3) * x * log(x) / (a ** S(4) * sqrt(c * x ** S(2))) + b ** S(3) * x * log(a + b * x) / (a ** S(4) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(6) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x)), x), x, -(a ** S(3)) * x * log(a + b * x) / (b ** S(4) * c * sqrt(c * x ** S(2))) + a ** S(2) * x ** S(2) / (b ** S(3) * c * sqrt(c * x ** S(2))) - a * x ** S(3) / (S(2) * b ** S(2) * c * sqrt(c * x ** S(2))) + x ** S(4) / (S(3) * b * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(5) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x)), x), x, a ** S(2) * x * log(a + b * x) / (b ** S(3) * c * sqrt(c * x ** S(2))) - a * x ** S(2) / (b ** S(2) * c * sqrt(c * x ** S(2))) + x ** S(3) / (S(2) * b * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x)), x), x, -a * x * log(a + b * x) / (b ** S(2) * c * sqrt(c * x ** S(2))) + x ** S(2) / (b * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x)), x), x, x * log(a + b * x) / (b * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x)), x), x, x * log(x) / (a * c * sqrt(c * x ** S(2))) - x * log(a + b * x) / (a * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x)), x), x, -S(1) / (a * c * sqrt(c * x ** S(2))) - b * x * log(x) / (a ** S(2) * c * sqrt(c * x ** S(2))) + b * x * log(a + b * x) / (a ** S(2) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x)), x), x, -S(1) / (S(2) * a * c * x * sqrt(c * x ** S(2))) + b / (a ** S(2) * c * sqrt(c * x ** S(2))) + b ** S(2) * x * log(x) / (a ** S(3) * c * sqrt(c * x ** S(2))) - b ** S(2) * x * log(a + b * x) / (a ** S(3) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (c * x ** S(2)) ** (S(3) / 2) * (a + b * x)), x), x, -S(1) / (S(3) * a * c * x ** S(2) * sqrt(c * x ** S(2))) + b / (S(2) * a ** S(2) * c * x * sqrt(c * x ** S(2))) - b ** S(2) / (a ** S(3) * c * sqrt(c * x ** S(2))) - b ** S(3) * x * log(x) / (a ** S(4) * c * sqrt(c * x ** S(2))) + b ** S(3) * x * log(a + b * x) / (a ** S(4) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * sqrt(c * x ** S(2)) / (a + b * x) ** S(2), x), x, -(a ** S(4)) * sqrt(c * x ** S(2)) / (b ** S(5) * x * (a + b * x)) - S(4) * a ** S(3) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(5) * x) + S(3) * a ** S(2) * sqrt(c * x ** S(2)) / b ** S(4) - a * x * sqrt(c * x ** S(2)) / b ** S(3) + x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt(c * x ** S(2)) / (a + b * x) ** S(2), x), x, a ** S(3) * sqrt(c * x ** S(2)) / (b ** S(4) * x * (a + b * x)) + S(3) * a ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(4) * x) - S(2) * a * sqrt(c * x ** S(2)) / b ** S(3) + x * sqrt(c * x ** S(2)) / (S(2) * b ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(c * x ** S(2)) / (a + b * x) ** S(2), x), x, -(a ** S(2)) * sqrt(c * x ** S(2)) / (b ** S(3) * x * (a + b * x)) - S(2) * a * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(3) * x) + sqrt(c * x ** S(2)) / b ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (a + b * x) ** S(2), x), x, a * sqrt(c * x ** S(2)) / (b ** S(2) * x * (a + b * x)) + sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (x * (a + b * x) ** S(2)), x), x, -sqrt(c * x ** S(2)) / (b * x * (a + b * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (x ** S(2) * (a + b * x) ** S(2)), x), x, sqrt(c * x ** S(2)) / (a * x * (a + b * x)) + sqrt(c * x ** S(2)) * log(x) / (a ** S(2) * x) - sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (x ** S(3) * (a + b * x) ** S(2)), x), x, -b * sqrt(c * x ** S(2)) / (a ** S(2) * x * (a + b * x)) - sqrt(c * x ** S(2)) / (a ** S(2) * x ** S(2)) - S(2) * b * sqrt(c * x ** S(2)) * log(x) / (a ** S(3) * x) + S(2) * b * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(3) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(c * x ** S(2)) / (x ** S(4) * (a + b * x) ** S(2)), x), x, -sqrt(c * x ** S(2)) / (S(2) * a ** S(2) * x ** S(3)) + b ** S(2) * sqrt(c * x ** S(2)) / (a ** S(3) * x * (a + b * x)) + S(2) * b * sqrt(c * x ** S(2)) / (a ** S(3) * x ** S(2)) + S(3) * b ** S(2) * sqrt(c * x ** S(2)) * log(x) / (a ** S(4) * x) - S(3) * b ** S(2) * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(4) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c * x ** S(2)) ** (S(3) / 2) / (a + b * x) ** S(2), x), x, -(a ** S(4)) * c * sqrt(c * x ** S(2)) / (b ** S(5) * x * (a + b * x)) - S(4) * a ** S(3) * c * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(5) * x) + S(3) * a ** S(2) * c * sqrt(c * x ** S(2)) / b ** S(4) - a * c * x * sqrt(c * x ** S(2)) / b ** S(3) + c * x ** S(2) * sqrt(c * x ** S(2)) / (S(3) * b ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (a + b * x) ** S(2), x), x, a ** S(3) * c * sqrt(c * x ** S(2)) / (b ** S(4) * x * (a + b * x)) + S(3) * a ** S(2) * c * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(4) * x) - S(2) * a * c * sqrt(c * x ** S(2)) / b ** S(3) + c * x * sqrt(c * x ** S(2)) / (S(2) * b ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** (S(3) / 2) / (x * (a + b * x) ** S(2)), x), x, -(a ** S(2)) * c * sqrt(c * x ** S(2)) / (b ** S(3) * x * (a + b * x)) - S(2) * a * c * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(3) * x) + c * sqrt(c * x ** S(2)) / b ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(3) / 2) / (x ** S(2) * (a + b * x) ** S(2)), x ), x, a * c * sqrt(c * x ** S(2)) / (b ** S(2) * x * (a + b * x)) + c * sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(3) / 2) / (x ** S(3) * (a + b * x) ** S(2)), x ), x, -c * sqrt(c * x ** S(2)) / (b * x * (a + b * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(3) / 2) / (x ** S(4) * (a + b * x) ** S(2)), x ), x, c * sqrt(c * x ** S(2)) / (a * x * (a + b * x)) + c * sqrt(c * x ** S(2)) * log(x) / (a ** S(2) * x) - c * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(3) / 2) / (x ** S(5) * (a + b * x) ** S(2)), x ), x, -b * c * sqrt(c * x ** S(2)) / (a ** S(2) * x * (a + b * x)) - c * sqrt(c * x ** S(2)) / (a ** S(2) * x ** S(2)) - S(2) * b * c * sqrt(c * x ** S(2)) * log(x) / (a ** S(3) * x) + S(2) * b * c * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(3) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** (S(3) / 2) / (x ** S(6) * (a + b * x) ** S(2)), x ), x, -c * sqrt(c * x ** S(2)) / (S(2) * a ** S(2) * x ** S(3)) + b ** S(2) * c * sqrt(c * x ** S(2)) / (a ** S(3) * x * (a + b * x)) + S(2) * b * c * sqrt(c * x ** S(2)) / (a ** S(3) * x ** S(2)) + S(3) * b ** S(2) * c * sqrt(c * x ** S(2)) * log(x) / (a ** S(4) * x) - S(3) * b ** S(2) * c * sqrt(c * x ** S(2)) * log(a + b * x) / (a ** S(4) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(5) / (sqrt(c * x ** S(2)) * (a + b * x) ** S(2)), x), x, -(a ** S(4)) * x / (b ** S(5) * sqrt(c * x ** S(2)) * (a + b * x)) - S(4) * a ** S(3) * x * log(a + b * x) / (b ** S(5) * sqrt(c * x ** S(2))) + S(3) * a ** S(2) * x ** S(2) / (b ** S(4) * sqrt(c * x ** S(2))) - a * x ** S(3) / (b ** S(3) * sqrt(c * x ** S(2))) + x ** S(4) / (S(3) * b ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) / (sqrt(c * x ** S(2)) * (a + b * x) ** S(2)), x), x, a ** S(3) * x / (b ** S(4) * sqrt(c * x ** S(2)) * (a + b * x)) + S(3) * a ** S(2) * x * log(a + b * x) / (b ** S(4) * sqrt(c * x ** S(2))) - S(2) * a * x ** S(2) / (b ** S(3) * sqrt(c * x ** S(2))) + x ** S(3) / (S(2) * b ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (sqrt(c * x ** S(2)) * (a + b * x) ** S(2)), x), x, -(a ** S(2)) * x / (b ** S(3) * sqrt(c * x ** S(2)) * (a + b * x)) - S(2) * a * x * log(a + b * x) / (b ** S(3) * sqrt(c * x ** S(2))) + x ** S(2) / (b ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(c * x ** S(2)) * (a + b * x) ** S(2)), x), x, a * sqrt(c * x ** S(2)) / (b ** S(2) * c * x * (a + b * x)) + sqrt(c * x ** S(2)) * log(a + b * x) / (b ** S(2) * c * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(c * x ** S(2)) * (a + b * x) ** S(2)), x), x, -x / (b * sqrt(c * x ** S(2)) * (a + b * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(c * x ** S(2)) * (a + b * x) ** S(2)), x), x, x / (a * sqrt(c * x ** S(2)) * (a + b * x)) + x * log(x) / (a ** S(2) * sqrt(c * x ** S(2))) - x * log(a + b * x) / (a ** S(2) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(c * x ** S(2)) * (a + b * x) ** S(2)), x), x, -b * x / (a ** S(2) * sqrt(c * x ** S(2)) * (a + b * x)) - S(1) / (a ** S(2) * sqrt(c * x ** S(2))) - S(2) * b * x * log(x) / (a ** S(3) * sqrt(c * x ** S(2))) + S(2) * b * x * log(a + b * x) / (a ** S(3) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(2) * sqrt(c * x ** S(2)) * (a + b * x) ** S(2)), x ), x, -S(1) / (S(2) * a ** S(2) * x * sqrt(c * x ** S(2))) + b ** S(2) * x / (a ** S(3) * sqrt(c * x ** S(2)) * (a + b * x)) + S(2) * b / (a ** S(3) * sqrt(c * x ** S(2))) + S(3) * b ** S(2) * x * log(x) / (a ** S(4) * sqrt(c * x ** S(2))) - S(3) * b ** S(2) * x * log(a + b * x) / (a ** S(4) * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(5) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2)), x ), x, -(a ** S(2)) * x / (b ** S(3) * c * sqrt(c * x ** S(2)) * (a + b * x)) - S(2) * a * x * log(a + b * x) / (b ** S(3) * c * sqrt(c * x ** S(2))) + x ** S(2) / (b ** S(2) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(4) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2)), x ), x, a * x / (b ** S(2) * c * sqrt(c * x ** S(2)) * (a + b * x)) + x * log(a + b * x) / (b ** S(2) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2)), x ), x, -x / (b * c * sqrt(c * x ** S(2)) * (a + b * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2)), x ), x, x / (a * c * sqrt(c * x ** S(2)) * (a + b * x)) + x * log(x) / (a ** S(2) * c * sqrt(c * x ** S(2))) - x * log(a + b * x) / (a ** S(2) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2)), x), x, -b * x / (a ** S(2) * c * sqrt(c * x ** S(2)) * (a + b * x)) - S(1) / (a ** S(2) * c * sqrt(c * x ** S(2))) - S(2) * b * x * log(x) / (a ** S(3) * c * sqrt(c * x ** S(2))) + S(2) * b * x * log(a + b * x) / (a ** S(3) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((c * x ** S(2)) ** (S(3) / 2) * (a + b * x) ** S(2)), x), x, -S(1) / (S(2) * a ** S(2) * c * x * sqrt(c * x ** S(2))) + b ** S(2) * x / (a ** S(3) * c * sqrt(c * x ** S(2)) * (a + b * x)) + S(2) * b / (a ** S(3) * c * sqrt(c * x ** S(2))) + S(3) * b ** S(2) * x * log(x) / (a ** S(4) * c * sqrt(c * x ** S(2))) - S(3) * b ** S(2) * x * log(a + b * x) / (a ** S(4) * c * sqrt(c * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** m * (c * x ** S(2)) ** p * (a + b * x) ** (-m - S(2) * p + S(-2)), x ), x, x ** (m + S(1)) * (c * x ** S(2)) ** p * (a + b * x) ** (-m - S(2) * p + S(-1)) / (a * (m + S(2) * p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-5)), x ), x, x ** S(4) * (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-4)) / (S(2) * a * (p + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-4)), x ), x, x ** S(3) * (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-3)) / (a * (S(2) * p + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-3)), x ), x, x ** S(2) * (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-2)) / (S(2) * a * (p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-2)), x), x, x * (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-1)) / (a * (S(2) * p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(-1)) / x, x ), x, (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p) / (S(2) * a * p), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p) / x ** S(2), x ), x, -((c * x ** S(2)) ** p) * (a + b * x) ** (-S(2) * p + S(1)) / (a * x * (-S(2) * p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(1)) / x ** S(3), x ), x, -((c * x ** S(2)) ** p) * (a + b * x) ** (-S(2) * p + S(2)) / (S(2) * a * x ** S(2) * (-p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** S(2)) ** p * (a + b * x) ** (-S(2) * p + S(2)) / x ** S(4), x ), x, -((c * x ** S(2)) ** p) * (a + b * x) ** (-S(2) * p + S(3)) / (a * x ** S(3) * (-S(2) * p + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(23)) / sqrt(x ** S(5) + S(1)), x), x, sqrt(a * x ** S(23)) * sqrt(x ** S(5) + S(1)) / (S(10) * x ** S(4)) - S(3) * sqrt(a * x ** S(23)) * sqrt(x ** S(5) + S(1)) / (S(20) * x ** S(9)) + S(3) * sqrt(a * x ** S(23)) * asinh(x ** (S(5) / 2)) / (S(20) * x ** (S(23) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(13)) / sqrt(x ** S(5) + S(1)), x), x, sqrt(a * x ** S(13)) * sqrt(x ** S(5) + S(1)) / (S(5) * x ** S(4)) - sqrt(a * x ** S(13)) * asinh(x ** (S(5) / 2)) / (S(5) * x ** (S(13) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(3)) / sqrt(x ** S(5) + S(1)), x), x, S(2) * sqrt(a * x ** S(3)) * asinh(x ** (S(5) / 2)) / (S(5) * x ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x ** S(7)) / sqrt(x ** S(5) + S(1)), x), x, -S(2) * x * sqrt(a / x ** S(7)) * sqrt(x ** S(5) + S(1)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x ** S(17)) / sqrt(x ** S(5) + S(1)), x), x, S(4) * x ** S(6) * sqrt(a / x ** S(17)) * sqrt(x ** S(5) + S(1)) / S(15) - S(2) * x * sqrt(a / x ** S(17)) * sqrt(x ** S(5) + S(1)) / S(15), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(6)) / (x * (-(x ** S(4)) + S(1))), x), x, -sqrt(a * x ** S(6)) * atan(x) / (S(2) * x ** S(3)) + sqrt(a * x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(6)) / (-(x ** S(5)) + x), x), x, -sqrt(a * x ** S(6)) * atan(x) / (S(2) * x ** S(3)) + sqrt(a * x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * x ** S(6)) ** (S(3) / 2) / (x * (-(x ** S(4)) + S(1))), x), x, -a * x ** S(2) * sqrt(a * x ** S(6)) / S(5) - a * sqrt(a * x ** S(6)) / x ** S(2) + a * sqrt(a * x ** S(6)) * atan(x) / (S(2) * x ** S(3)) + a * sqrt(a * x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (-(x ** S(4)) + S(1)) - sqrt(a * x ** S(6)) / (x * (-(x ** S(4)) + S(1))), x, ), x, atan(x) / S(2) + atanh(x) / S(2) + sqrt(a * x ** S(6)) * atan(x) / (S(2) * x ** S(3)) - sqrt(a * x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( -sqrt(a * x ** S(6)) / (-(x ** S(5)) + x) + S(1) / (-(x ** S(4)) + S(1)), x ), x, atan(x) / S(2) + atanh(x) / S(2) + sqrt(a * x ** S(6)) * atan(x) / (S(2) * x ** S(3)) - sqrt(a * x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(3)) / (-(x ** S(3)) + x), x), x, -sqrt(a * x ** S(3)) * atan(sqrt(x)) / x ** (S(3) / 2) + sqrt(a * x ** S(3)) * atanh(sqrt(x)) / x ** (S(3) / 2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(4)) / sqrt(x ** S(2) + S(1)), x), x, sqrt(a * x ** S(4)) * sqrt(x ** S(2) + S(1)) / (S(2) * x) - sqrt(a * x ** S(4)) * asinh(x) / (S(2) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(3)) / sqrt(x ** S(2) + S(1)), x), x, S(2) * sqrt(a * x ** S(3)) * sqrt(x ** S(2) + S(1)) / (S(3) * x) - sqrt(a * x ** S(3)) * sqrt((x ** S(2) + S(1)) / (x + S(1)) ** S(2)) * (x + S(1)) * elliptic_f(S(2) * atan(sqrt(x)), S(1) / 2) / (S(3) * x ** (S(3) / 2) * sqrt(x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(2)) / sqrt(x ** S(2) + S(1)), x), x, sqrt(a * x ** S(2)) * sqrt(x ** S(2) + S(1)) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x) / sqrt(x ** S(2) + S(1)), x), x, -S(2) * sqrt(a) * sqrt((x ** S(2) + S(1)) / (x + S(1)) ** S(2)) * (x + S(1)) * elliptic_e(S(2) * atan(sqrt(a * x) / sqrt(a)), S(1) / 2) / sqrt(x ** S(2) + S(1)) + sqrt(a) * sqrt((x ** S(2) + S(1)) / (x + S(1)) ** S(2)) * (x + S(1)) * elliptic_f(S(2) * atan(sqrt(a * x) / sqrt(a)), S(1) / 2) / sqrt(x ** S(2) + S(1)) + S(2) * sqrt(a * x) * sqrt(x ** S(2) + S(1)) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x) / sqrt(x ** S(2) + S(1)), x), x, sqrt(x) * sqrt(a / x) * sqrt((x ** S(2) + S(1)) / (x + S(1)) ** S(2)) * (x + S(1)) * elliptic_f(S(2) * atan(sqrt(x)), S(1) / 2) / sqrt(x ** S(2) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x ** S(2)) / sqrt(x ** S(2) + S(1)), x), x, -x * sqrt(a / x ** S(2)) * atanh(sqrt(x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x ** S(3)) / sqrt(x ** S(2) + S(1)), x), x, -S(2) * x ** (S(3) / 2) * sqrt(a / x ** S(3)) * sqrt((x ** S(2) + S(1)) / (x + S(1)) ** S(2)) * (x + S(1)) * elliptic_e(S(2) * atan(sqrt(x)), S(1) / 2) / sqrt(x ** S(2) + S(1)) + x ** (S(3) / 2) * sqrt(a / x ** S(3)) * sqrt((x ** S(2) + S(1)) / (x + S(1)) ** S(2)) * (x + S(1)) * elliptic_f(S(2) * atan(sqrt(x)), S(1) / 2) / sqrt(x ** S(2) + S(1)) + S(2) * x ** S(2) * sqrt(a / x ** S(3)) * sqrt(x ** S(2) + S(1)) / (x + S(1)) - S(2) * x * sqrt(a / x ** S(3)) * sqrt(x ** S(2) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x ** S(4)) / sqrt(x ** S(2) + S(1)), x), x, -x * sqrt(a / x ** S(4)) * sqrt(x ** S(2) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(4)) / sqrt(x ** S(3) + S(1)), x), x, S(2) * sqrt(a * x ** S(4)) * sqrt(x ** S(3) + S(1)) / (S(3) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(3)) / sqrt(x ** S(3) + S(1)), x), x, -S(3) ** (S(1) / 4) * sqrt(a * x ** S(3)) * sqrt((x ** S(2) - x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * (x + S(1)) * elliptic_e( acos((x * (-sqrt(S(3)) + S(1)) + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1))), sqrt(S(3)) / S(4) + S(1) / 2, ) / ( x * sqrt(x * (x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(1)) ) - S(3) ** (S(3) / 4) * sqrt(a * x ** S(3)) * sqrt((x ** S(2) - x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * (-sqrt(S(3)) + S(1)) * (x + S(1)) * elliptic_f( acos((x * (-sqrt(S(3)) + S(1)) + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1))), sqrt(S(3)) / S(4) + S(1) / 2, ) / ( S(6) * x * sqrt(x * (x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(1)) ) + sqrt(a * x ** S(3)) * (S(1) + sqrt(S(3))) * sqrt(x ** S(3) + S(1)) / (x * (x * (S(1) + sqrt(S(3))) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** S(2)) / sqrt(x ** S(3) + S(1)), x), x, S(2) * sqrt(a * x ** S(2)) * sqrt(x ** S(3) + S(1)) / (x * (x + S(1) + sqrt(S(3)))) - S(3) ** (S(1) / 4) * sqrt(a * x ** S(2)) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-sqrt(S(3)) + S(2)) * (x + S(1)) * elliptic_e( asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( x * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ) + S(2) * sqrt(S(2)) * S(3) ** (S(3) / 4) * sqrt(a * x ** S(2)) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * (x + S(1)) * elliptic_f( asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(3) * x * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x) / sqrt(x ** S(3) + S(1)), x), x, S(2) * sqrt(a) * asinh((a * x) ** (S(3) / 2) / a ** (S(3) / 2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x) / sqrt(x ** S(3) + S(1)), x), x, S(3) ** (S(3) / 4) * x * sqrt(a / x) * sqrt((x ** S(2) - x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * (x + S(1)) * elliptic_f( acos((x * (-sqrt(S(3)) + S(1)) + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1))), sqrt(S(3)) / S(4) + S(1) / 2, ) / ( S(3) * sqrt(x * (x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x ** S(2)) / sqrt(x ** S(3) + S(1)), x), x, -S(2) * x * sqrt(a / x ** S(2)) * atanh(sqrt(x ** S(3) + S(1))) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x ** S(3)) / sqrt(x ** S(3) + S(1)), x), x, -S(2) * S(3) ** (S(1) / 4) * x ** S(2) * sqrt(a / x ** S(3)) * sqrt((x ** S(2) - x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * (x + S(1)) * elliptic_e( acos((x * (-sqrt(S(3)) + S(1)) + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1))), sqrt(S(3)) / S(4) + S(1) / 2, ) / ( sqrt(x * (x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(1)) ) - S(3) ** (S(3) / 4) * x ** S(2) * sqrt(a / x ** S(3)) * sqrt((x ** S(2) - x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * (-sqrt(S(3)) + S(1)) * (x + S(1)) * elliptic_f( acos((x * (-sqrt(S(3)) + S(1)) + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1))), sqrt(S(3)) / S(4) + S(1) / 2, ) / ( S(3) * sqrt(x * (x + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(1)) ) + x ** S(2) * sqrt(a / x ** S(3)) * (S(2) + S(2) * sqrt(S(3))) * sqrt(x ** S(3) + S(1)) / (x * (S(1) + sqrt(S(3))) + S(1)) - S(2) * x * sqrt(a / x ** S(3)) * sqrt(x ** S(3) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a / x ** S(4)) / sqrt(x ** S(3) + S(1)), x), x, x ** S(2) * sqrt(a / x ** S(4)) * sqrt(x ** S(3) + S(1)) / (x + S(1) + sqrt(S(3))) - S(3) ** (S(1) / 4) * x ** S(2) * sqrt(a / x ** S(4)) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-sqrt(S(3)) + S(2)) * (x + S(1)) * elliptic_e( asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(2) * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ) + sqrt(S(2)) * S(3) ** (S(3) / 4) * x ** S(2) * sqrt(a / x ** S(4)) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * (x + S(1)) * elliptic_f( asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(3) * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ) - x * sqrt(a / x ** S(4)) * sqrt(x ** S(3) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** (S(2) * n)) / sqrt(x ** n + S(1)), x), x, x * sqrt(a * x ** (S(2) * n)) * hyper((S(1) / 2, S(1) + S(1) / n), (S(2) + S(1) / n,), -(x ** n)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** n) / sqrt(x ** n + S(1)), x), x, S(2) * x * sqrt(a * x ** n) * hyper((S(1) / 2, S(1) / 2 + S(1) / n), (S(3) / 2 + S(1) / n,), -(x ** n)) / (n + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x ** (n / S(2))) / sqrt(x ** n + S(1)), x), x, S(4) * x * sqrt(a * x ** (n / S(2))) * hyper((S(1) / 2, S(1) / 4 + S(1) / n), (S(5) / 4 + S(1) / n,), -(x ** n)) / (n + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a * x ** (S(2) * n)) / sqrt(x ** n + S(1)) + S(2) * x ** (-n) * sqrt(a * x ** (S(2) * n)) / ((n + S(2)) * sqrt(x ** n + S(1))), x, ), x, S(2) * x ** (-n + S(1)) * sqrt(a * x ** (S(2) * n)) * sqrt(x ** n + S(1)) / (n + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a * x) / (sqrt(d + e * x) * sqrt(e + f * x)), x), x, S(2) * sqrt(a * x) * sqrt(e * (e + f * x) / (-d * f + e ** S(2))) * sqrt(d * f - e ** S(2)) * elliptic_e( asin(sqrt(f) * sqrt(d + e * x) / sqrt(d * f - e ** S(2))), S(1) - e ** S(2) / (d * f), ) / (e * sqrt(f) * sqrt(-e * x / d) * sqrt(e + f * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * x ** m) ** r, x), x, x * (a * x ** m) ** r / (m * r + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * x ** m) ** r * (b * x ** n) ** s, x), x, x * (a * x ** m) ** r * (b * x ** n) ** s / (m * r + n * s + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a * x ** m) ** r * (b * x ** n) ** s * (c * x ** p) ** t, x), x, x * (a * x ** m) ** r * (b * x ** n) ** s * (c * x ** p) ** t / (m * r + n * s + p * t + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** p, x ), x, -a * x * (c * x ** n) ** (-S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(1)) / (b ** S(2) * (p + S(1))) + x * (c * x ** n) ** (-S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** (p + S(2)) / (b ** S(2) * (p + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(3), x ), x, -a * x * (c * x ** n) ** (-S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(4) / (S(4) * b ** S(2)) + x * (c * x ** n) ** (-S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(5) / (S(5) * b ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(2), x ), x, a ** S(2) * x * (c * x ** n) ** (S(1) / n) / S(2) + S(2) * a * b * x * (c * x ** n) ** (S(2) / n) / S(3) + b ** S(2) * x * (c * x ** n) ** (S(3) / n) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) * (a + b * (c * x ** n) ** (S(1) / n)), x ), x, a * x * (c * x ** n) ** (S(1) / n) / S(2) + b * x * (c * x ** n) ** (S(2) / n) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) / (a + b * (c * x ** n) ** (S(1) / n)), x ), x, -a * x * (c * x ** n) ** (-S(1) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b ** S(2) + x / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) / (a + b * (c * x ** n) ** (S(1) / n)) ** S(2), x ), x, a * x * (c * x ** n) ** (-S(1) / n) / (b ** S(2) * (a + b * (c * x ** n) ** (S(1) / n))) + x * (c * x ** n) ** (-S(1) / n) * log(a + b * (c * x ** n) ** (S(1) / n)) / b ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) / (a + b * (c * x ** n) ** (S(1) / n)) ** S(3), x ), x, x * (c * x ** n) ** (S(1) / n) / (S(2) * a * (a + b * (c * x ** n) ** (S(1) / n)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) / (a + b * (c * x ** n) ** (S(1) / n)) ** S(4), x ), x, a * x * (c * x ** n) ** (-S(1) / n) / (S(3) * b ** S(2) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(3)) - x * (c * x ** n) ** (-S(1) / n) / (S(2) * b ** S(2) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (c * x ** n) ** (S(1) / n) / (a + b * (c * x ** n) ** (S(1) / n)) ** S(5), x ), x, a * x * (c * x ** n) ** (-S(1) / n) / (S(4) * b ** S(2) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(4)) - x * (c * x ** n) ** (-S(1) / n) / (S(3) * b ** S(2) * (a + b * (c * x ** n) ** (S(1) / n)) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(a + b * x) + sqrt(b * x + c)), x), x, S(2) * a ** S(2) * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(3) * (a - c)) - S(4) * a * (a + b * x) ** (S(5) / 2) / (S(5) * b ** S(3) * (a - c)) - S(2) * c ** S(2) * (b * x + c) ** (S(3) / 2) / (S(3) * b ** S(3) * (a - c)) + S(4) * c * (b * x + c) ** (S(5) / 2) / (S(5) * b ** S(3) * (a - c)) + S(2) * (a + b * x) ** (S(7) / 2) / (S(7) * b ** S(3) * (a - c)) - S(2) * (b * x + c) ** (S(7) / 2) / (S(7) * b ** S(3) * (a - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(a + b * x) + sqrt(b * x + c)), x), x, -S(2) * a * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(2) * (a - c)) + S(2) * c * (b * x + c) ** (S(3) / 2) / (S(3) * b ** S(2) * (a - c)) + S(2) * (a + b * x) ** (S(5) / 2) / (S(5) * b ** S(2) * (a - c)) - S(2) * (b * x + c) ** (S(5) / 2) / (S(5) * b ** S(2) * (a - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(a + b * x) + sqrt(b * x + c)), x), x, S(2) * (a + b * x) ** (S(3) / 2) / (S(3) * b * (a - c)) - S(2) * (b * x + c) ** (S(3) / 2) / (S(3) * b * (a - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (sqrt(a + b * x) + sqrt(b * x + c))), x), x, -S(2) * sqrt(a) * atanh(sqrt(a + b * x) / sqrt(a)) / (a - c) + S(2) * sqrt(c) * atanh(sqrt(b * x + c) / sqrt(c)) / (a - c) + S(2) * sqrt(a + b * x) / (a - c) - S(2) * sqrt(b * x + c) / (a - c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (sqrt(a + b * x) + sqrt(b * x + c))), x), x, b * atanh(sqrt(b * x + c) / sqrt(c)) / (sqrt(c) * (a - c)) - sqrt(a + b * x) / (x * (a - c)) + sqrt(b * x + c) / (x * (a - c)) - b * atanh(sqrt(a + b * x) / sqrt(a)) / (sqrt(a) * (a - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(a + b * x) + sqrt(b * x + c)) ** S(2), x), x, b * x ** S(4) / (S(2) * (a - c) ** S(2)) + x ** S(3) * (a + c) / (S(3) * (a - c) ** S(2)) - x * (a + b * x) ** (S(3) / 2) * (b * x + c) ** (S(3) / 2) / (S(2) * b ** S(2) * (a - c) ** S(2)) - (S(4) * a * c - S(5) * (a + c) ** S(2)) * atanh(sqrt(a + b * x) / sqrt(b * x + c)) / (S(32) * b ** S(3)) - sqrt(a + b * x) * (S(4) * a * c - S(5) * (a + c) ** S(2)) * sqrt(b * x + c) / (S(32) * b ** S(3) * (a - c)) + (a + b * x) ** (S(3) / 2) * (S(5) * a + S(5) * c) * (b * x + c) ** (S(3) / 2) / (S(12) * b ** S(3) * (a - c) ** S(2)) + (a + b * x) ** (S(3) / 2) * (S(4) * a * c - S(5) * (a + c) ** S(2)) * sqrt(b * x + c) / (S(16) * b ** S(3) * (a - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(a + b * x) + sqrt(b * x + c)) ** S(2), x), x, S(2) * b * x ** S(3) / (S(3) * (a - c) ** S(2)) + x ** S(2) * (a + c) / (S(2) * (a - c) ** S(2)) - (a + c) * atanh(sqrt(a + b * x) / sqrt(b * x + c)) / (S(4) * b ** S(2)) - (a + c) * sqrt(a + b * x) * sqrt(b * x + c) / (S(4) * b ** S(2) * (a - c)) + (a + c) * (a + b * x) ** (S(3) / 2) * sqrt(b * x + c) / (S(2) * b ** S(2) * (a - c) ** S(2)) - S(2) * (a + b * x) ** (S(3) / 2) * (b * x + c) ** (S(3) / 2) / (S(3) * b ** S(2) * (a - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(a + b * x) + sqrt(b * x + c)) ** (S(-2)), x), x, (a - c) ** S(2) / (S(8) * b * (sqrt(a + b * x) + sqrt(b * x + c)) ** S(4)) + atanh(sqrt(a + b * x) / sqrt(b * x + c)) / (S(2) * b), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((sqrt(a + b * x) + sqrt(b * x + c)) ** (S(-2)), x), x, b * x ** S(2) / (a - c) ** S(2) + x * (a + c) / (a - c) ** S(2) + atanh(sqrt(a + b * x) / sqrt(b * x + c)) / (S(2) * b) + sqrt(a + b * x) * sqrt(b * x + c) / (S(2) * b * (a - c)) - (a + b * x) ** (S(3) / 2) * sqrt(b * x + c) / (b * (a - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (sqrt(a + b * x) + sqrt(b * x + c)) ** S(2)), x), x, S(4) * sqrt(a) * sqrt(c) * atanh(sqrt(c) * sqrt(a + b * x) / (sqrt(a) * sqrt(b * x + c))) / (a - c) ** S(2) + S(2) * b * x / (a - c) ** S(2) + (a + c) * log(x) / (a - c) ** S(2) - S(2) * sqrt(a + b * x) * sqrt(b * x + c) / (a - c) ** S(2) - (S(2) * a + S(2) * c) * atanh(sqrt(a + b * x) / sqrt(b * x + c)) / (a - c) ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(2) * (sqrt(a + b * x) + sqrt(b * x + c)) ** S(2)), x ), x, S(2) * b * log(x) / (a - c) ** S(2) - S(4) * b * atanh(sqrt(a + b * x) / sqrt(b * x + c)) / (a - c) ** S(2) - (a + c) / (x * (a - c) ** S(2)) + S(2) * sqrt(a + b * x) * sqrt(b * x + c) / (x * (a - c) ** S(2)) + S(2) * b * (a + c) * atanh(sqrt(c) * sqrt(a + b * x) / (sqrt(a) * sqrt(b * x + c))) / (sqrt(a) * sqrt(c) * (a - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(a + b * x) + sqrt(b * x + c)) ** S(3), x), x, -S(8) * a ** S(3) * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(3) * (a - c) ** S(3)) + S(2) * a ** S(2) * (a + S(3) * c) * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(3) * (a - c) ** S(3)) + S(24) * a ** S(2) * (a + b * x) ** (S(5) / 2) / (S(5) * b ** S(3) * (a - c) ** S(3)) - S(4) * a * (a + S(3) * c) * (a + b * x) ** (S(5) / 2) / (S(5) * b ** S(3) * (a - c) ** S(3)) - S(24) * a * (a + b * x) ** (S(7) / 2) / (S(7) * b ** S(3) * (a - c) ** S(3)) + S(8) * c ** S(3) * (b * x + c) ** (S(3) / 2) / (S(3) * b ** S(3) * (a - c) ** S(3)) - S(2) * c ** S(2) * (S(3) * a + c) * (b * x + c) ** (S(3) / 2) / (S(3) * b ** S(3) * (a - c) ** S(3)) - S(24) * c ** S(2) * (b * x + c) ** (S(5) / 2) / (S(5) * b ** S(3) * (a - c) ** S(3)) + S(4) * c * (S(3) * a + c) * (b * x + c) ** (S(5) / 2) / (S(5) * b ** S(3) * (a - c) ** S(3)) + S(24) * c * (b * x + c) ** (S(7) / 2) / (S(7) * b ** S(3) * (a - c) ** S(3)) + S(8) * (a + b * x) ** (S(9) / 2) / (S(9) * b ** S(3) * (a - c) ** S(3)) + (a + b * x) ** (S(7) / 2) * (S(2) * a + S(6) * c) / (S(7) * b ** S(3) * (a - c) ** S(3)) - (S(6) * a + S(2) * c) * (b * x + c) ** (S(7) / 2) / (S(7) * b ** S(3) * (a - c) ** S(3)) - S(8) * (b * x + c) ** (S(9) / 2) / (S(9) * b ** S(3) * (a - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(a + b * x) + sqrt(b * x + c)) ** S(3), x), x, S(8) * a ** S(2) * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(2) * (a - c) ** S(3)) - S(2) * a * (a + S(3) * c) * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(2) * (a - c) ** S(3)) - S(16) * a * (a + b * x) ** (S(5) / 2) / (S(5) * b ** S(2) * (a - c) ** S(3)) - S(8) * c ** S(2) * (b * x + c) ** (S(3) / 2) / (S(3) * b ** S(2) * (a - c) ** S(3)) + S(2) * c * (S(3) * a + c) * (b * x + c) ** (S(3) / 2) / (S(3) * b ** S(2) * (a - c) ** S(3)) + S(16) * c * (b * x + c) ** (S(5) / 2) / (S(5) * b ** S(2) * (a - c) ** S(3)) + S(8) * (a + b * x) ** (S(7) / 2) / (S(7) * b ** S(2) * (a - c) ** S(3)) + (a + b * x) ** (S(5) / 2) * (S(2) * a + S(6) * c) / (S(5) * b ** S(2) * (a - c) ** S(3)) - (S(6) * a + S(2) * c) * (b * x + c) ** (S(5) / 2) / (S(5) * b ** S(2) * (a - c) ** S(3)) - S(8) * (b * x + c) ** (S(7) / 2) / (S(7) * b ** S(2) * (a - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(a + b * x) + sqrt(b * x + c)) ** (S(-3)), x), x, (a - c) ** S(2) / (S(10) * b * (sqrt(a + b * x) + sqrt(b * x + c)) ** S(5)) - S(1) / (S(2) * b * (sqrt(a + b * x) + sqrt(b * x + c))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((sqrt(a + b * x) + sqrt(b * x + c)) ** (S(-3)), x), x, -S(8) * a * (a + b * x) ** (S(3) / 2) / (S(3) * b * (a - c) ** S(3)) + S(8) * c * (b * x + c) ** (S(3) / 2) / (S(3) * b * (a - c) ** S(3)) + S(8) * (a + b * x) ** (S(5) / 2) / (S(5) * b * (a - c) ** S(3)) + (a + b * x) ** (S(3) / 2) * (S(2) * a + S(6) * c) / (S(3) * b * (a - c) ** S(3)) - (S(6) * a + S(2) * c) * (b * x + c) ** (S(3) / 2) / (S(3) * b * (a - c) ** S(3)) - S(8) * (b * x + c) ** (S(5) / 2) / (S(5) * b * (a - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (sqrt(a + b * x) + sqrt(b * x + c)) ** S(3)), x), x, -S(2) * sqrt(a) * (a + S(3) * c) * atanh(sqrt(a + b * x) / sqrt(a)) / (a - c) ** S(3) + S(2) * sqrt(c) * (S(3) * a + c) * atanh(sqrt(b * x + c) / sqrt(c)) / (a - c) ** S(3) + S(8) * (a + b * x) ** (S(3) / 2) / (S(3) * (a - c) ** S(3)) + sqrt(a + b * x) * (S(2) * a + S(6) * c) / (a - c) ** S(3) - (S(6) * a + S(2) * c) * sqrt(b * x + c) / (a - c) ** S(3) - S(8) * (b * x + c) ** (S(3) / 2) / (S(3) * (a - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(2) * (sqrt(a + b * x) + sqrt(b * x + c)) ** S(3)), x ), x, S(8) * b * sqrt(a + b * x) / (a - c) ** S(3) - S(8) * b * sqrt(b * x + c) / (a - c) ** S(3) - S(3) * b * (a + S(3) * c) * atanh(sqrt(b * x + c) / sqrt(c)) / (sqrt(c) * (-a + c) ** S(3)) - (a + S(3) * c) * sqrt(a + b * x) / (x * (a - c) ** S(3)) + (S(3) * a + c) * sqrt(b * x + c) / (x * (a - c) ** S(3)) - S(3) * b * (S(3) * a + c) * atanh(sqrt(a + b * x) / sqrt(a)) / (sqrt(a) * (a - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( S(1) / (x ** S(2) * (sqrt(a + b * x) + sqrt(b * x + c)) ** S(3)), x ), x, -S(8) * sqrt(a) * b * atanh(sqrt(a + b * x) / sqrt(a)) / (a - c) ** S(3) + S(8) * b * sqrt(c) * atanh(sqrt(b * x + c) / sqrt(c)) / (a - c) ** S(3) + S(8) * b * sqrt(a + b * x) / (a - c) ** S(3) - S(8) * b * sqrt(b * x + c) / (a - c) ** S(3) + b * (S(3) * a + c) * atanh(sqrt(b * x + c) / sqrt(c)) / (sqrt(c) * (a - c) ** S(3)) - (a + S(3) * c) * sqrt(a + b * x) / (x * (a - c) ** S(3)) + (S(3) * a + c) * sqrt(b * x + c) / (x * (a - c) ** S(3)) - b * (a + S(3) * c) * atanh(sqrt(a + b * x) / sqrt(a)) / (sqrt(a) * (a - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x) + sqrt(x + S(1))), x), x, -S(2) * x ** (S(3) / 2) / S(3) + S(2) * (x + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x) + sqrt(x + S(-1))), x), x, S(2) * x ** (S(3) / 2) / S(3) - S(2) * (x + S(-1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x + S(-1)) + sqrt(x + S(1))), x), x, -((x + S(-1)) ** (S(3) / 2)) / S(3) + (x + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (sqrt(-x + S(1)) + sqrt(x + S(1))) ** S(2), x), x, x ** S(4) / S(2) + S(2) * (-(x ** S(2)) + S(1)) ** (S(5) / 2) / S(5) - S(2) * (-(x ** S(2)) + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (sqrt(-x + S(1)) + sqrt(x + S(1))) ** S(2), x), x, x ** S(3) * sqrt(-(x ** S(2)) + S(1)) / S(2) + S(2) * x ** S(3) / S(3) - x * sqrt(-(x ** S(2)) + S(1)) / S(4) + asin(x) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (sqrt(-x + S(1)) + sqrt(x + S(1))) ** S(2), x), x, x ** S(2) - S(2) * (-(x ** S(2)) + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(-x + S(1)) + sqrt(x + S(1))) ** S(2), x), x, x * sqrt(-(x ** S(2)) + S(1)) + S(2) * x + asin(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(-x + S(1)) + sqrt(x + S(1))) ** S(2) / x, x), x, S(2) * sqrt(-(x ** S(2)) + S(1)) + S(2) * log(x) - S(2) * atanh(sqrt(-(x ** S(2)) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(-x + S(1)) + sqrt(x + S(1))) ** S(2) / x ** S(2), x), x, -S(2) * asin(x) - S(2) * sqrt(-(x ** S(2)) + S(1)) / x - S(2) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(-x + S(1)) + sqrt(x + S(1))) ** S(2) / x ** S(3), x), x, atanh(sqrt(-(x ** S(2)) + S(1))) - sqrt(-(x ** S(2)) + S(1)) / x ** S(2) - S(1) / x ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (sqrt(a + b * x) + sqrt(a + c * x)), x), x, -S(2) * a ** S(2) * (a + c * x) ** (S(3) / 2) / (c ** S(3) * (S(3) * b - S(3) * c)) + S(2) * a ** S(2) * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(3) * (b - c)) + S(4) * a * (a + c * x) ** (S(5) / 2) / (c ** S(3) * (S(5) * b - S(5) * c)) - S(4) * a * (a + b * x) ** (S(5) / 2) / (S(5) * b ** S(3) * (b - c)) - S(2) * (a + c * x) ** (S(7) / 2) / (c ** S(3) * (S(7) * b - S(7) * c)) + S(2) * (a + b * x) ** (S(7) / 2) / (S(7) * b ** S(3) * (b - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(a + b * x) + sqrt(a + c * x)), x), x, S(2) * a * (a + c * x) ** (S(3) / 2) / (c ** S(2) * (S(3) * b - S(3) * c)) - S(2) * a * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(2) * (b - c)) - S(2) * (a + c * x) ** (S(5) / 2) / (c ** S(2) * (S(5) * b - S(5) * c)) + S(2) * (a + b * x) ** (S(5) / 2) / (S(5) * b ** S(2) * (b - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(a + b * x) + sqrt(a + c * x)), x), x, -S(2) * (a + c * x) ** (S(3) / 2) / (c * (S(3) * b - S(3) * c)) + S(2) * (a + b * x) ** (S(3) / 2) / (S(3) * b * (b - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(a + b * x) + sqrt(a + c * x)), x), x, -S(2) * sqrt(a) * atanh(sqrt(a + b * x) / sqrt(a)) / (b - c) + S(2) * sqrt(a) * atanh(sqrt(a + c * x) / sqrt(a)) / (b - c) + S(2) * sqrt(a + b * x) / (b - c) - S(2) * sqrt(a + c * x) / (b - c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (sqrt(a + b * x) + sqrt(a + c * x))), x), x, -sqrt(a + b * x) / (x * (b - c)) + sqrt(a + c * x) / (x * (b - c)) - b * atanh(sqrt(a + b * x) / sqrt(a)) / (sqrt(a) * (b - c)) + c * atanh(sqrt(a + c * x) / sqrt(a)) / (sqrt(a) * (b - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (sqrt(a + b * x) + sqrt(a + c * x))), x), x, -sqrt(a + b * x) / (x ** S(2) * (S(2) * b - S(2) * c)) + sqrt(a + c * x) / (x ** S(2) * (S(2) * b - S(2) * c)) - b * sqrt(a + b * x) / (S(4) * a * x * (b - c)) + c * sqrt(a + c * x) / (S(4) * a * x * (b - c)) + b ** S(2) * atanh(sqrt(a + b * x) / sqrt(a)) / (S(4) * a ** (S(3) / 2) * (b - c)) - c ** S(2) * atanh(sqrt(a + c * x) / sqrt(a)) / (S(4) * a ** (S(3) / 2) * (b - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (sqrt(a + b * x) + sqrt(a + c * x)) ** S(2), x), x, -(a ** S(3)) * (b + c) * atanh(sqrt(c) * sqrt(a + b * x) / (sqrt(b) * sqrt(a + c * x))) / (S(4) * b ** (S(5) / 2) * c ** (S(5) / 2)) + a ** S(2) * sqrt(a + b * x) * sqrt(a + c * x) * (b + c) / (S(4) * b ** S(2) * c ** S(2) * (b - c)) + a * x ** S(2) / (b - c) ** S(2) + a * (a + b * x) ** (S(3) / 2) * sqrt(a + c * x) * (b + c) / (S(2) * b ** S(2) * c * (b - c) ** S(2)) + x ** S(3) * (b + c) / (S(3) * (b - c) ** S(2)) - S(2) * (a + b * x) ** (S(3) / 2) * (a + c * x) ** (S(3) / 2) / (S(3) * b * c * (b - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(a + b * x) + sqrt(a + c * x)) ** S(2), x), x, a ** S(2) * atanh(sqrt(c) * sqrt(a + b * x) / (sqrt(b) * sqrt(a + c * x))) / (S(2) * b ** (S(3) / 2) * c ** (S(3) / 2)) + S(2) * a * x / (b - c) ** S(2) - a * sqrt(a + b * x) * sqrt(a + c * x) / (S(2) * b * c * (b - c)) + x ** S(2) * (b + c) / (S(2) * (b - c) ** S(2)) - (a + b * x) ** (S(3) / 2) * sqrt(a + c * x) / (b * (b - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(a + b * x) + sqrt(a + c * x)) ** S(2), x), x, S(2) * a * log(x) / (b - c) ** S(2) + S(4) * a * atanh(sqrt(a + b * x) / sqrt(a + c * x)) / (b - c) ** S(2) - S(2) * a * (b + c) * atanh(sqrt(c) * sqrt(a + b * x) / (sqrt(b) * sqrt(a + c * x))) / (sqrt(b) * sqrt(c) * (b - c) ** S(2)) + x * (b + c) / (b - c) ** S(2) - S(2) * sqrt(a + b * x) * sqrt(a + c * x) / (b - c) ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(a + b * x) + sqrt(a + c * x)) ** (S(-2)), x), x, -S(2) * a / (x * (b - c) ** S(2)) - S(4) * sqrt(b) * sqrt(c) * atanh(sqrt(c) * sqrt(a + b * x) / (sqrt(b) * sqrt(a + c * x))) / (b - c) ** S(2) + (b + c) * log(x) / (b - c) ** S(2) + (S(2) * b + S(2) * c) * atanh(sqrt(a + b * x) / sqrt(a + c * x)) / (b - c) ** S(2) + S(2) * sqrt(a + b * x) * sqrt(a + c * x) / (x * (b - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (sqrt(a + b * x) + sqrt(a + c * x)) ** S(2)), x), x, -a / (x ** S(2) * (b - c) ** S(2)) - (b + c) / (x * (b - c) ** S(2)) - atanh(sqrt(a + b * x) / sqrt(a + c * x)) / (S(2) * a) + sqrt(a + b * x) * sqrt(a + c * x) / (S(2) * a * x * (b - c)) + sqrt(a + b * x) * (a + c * x) ** (S(3) / 2) / (a * x ** S(2) * (b - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(2) * (sqrt(a + b * x) + sqrt(a + c * x)) ** S(2)), x ), x, -S(2) * a / (S(3) * x ** S(3) * (b - c) ** S(2)) - (b + c) / (S(2) * x ** S(2) * (b - c) ** S(2)) + (b + c) * atanh(sqrt(a + b * x) / sqrt(a + c * x)) / (S(4) * a ** S(2)) - sqrt(a + b * x) * sqrt(a + c * x) * (b + c) / (S(4) * a ** S(2) * x * (b - c)) - sqrt(a + b * x) * (a + c * x) ** (S(3) / 2) * (b + c) / (S(2) * a ** S(2) * x ** S(2) * (b - c) ** S(2)) + S(2) * (a + b * x) ** (S(3) / 2) * (a + c * x) ** (S(3) / 2) / (S(3) * a ** S(2) * x ** S(3) * (b - c) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(4) / (sqrt(a + b * x) + sqrt(a + c * x)) ** S(3), x), x, S(8) * a ** S(2) * (a + c * x) ** (S(3) / 2) / (S(3) * c ** S(2) * (b - c) ** S(3)) - S(2) * a ** S(2) * (a + c * x) ** (S(3) / 2) * (S(3) * b + c) / (S(3) * c ** S(3) * (b - c) ** S(3)) - S(8) * a ** S(2) * (a + b * x) ** (S(3) / 2) / (S(3) * b ** S(2) * (b - c) ** S(3)) + S(2) * a ** S(2) * (a + b * x) ** (S(3) / 2) * (b + S(3) * c) / (S(3) * b ** S(3) * (b - c) ** S(3)) - S(8) * a * (a + c * x) ** (S(5) / 2) / (S(5) * c ** S(2) * (b - c) ** S(3)) + S(4) * a * (a + c * x) ** (S(5) / 2) * (S(3) * b + c) / (S(5) * c ** S(3) * (b - c) ** S(3)) + S(8) * a * (a + b * x) ** (S(5) / 2) / (S(5) * b ** S(2) * (b - c) ** S(3)) - S(4) * a * (a + b * x) ** (S(5) / 2) * (b + S(3) * c) / (S(5) * b ** S(3) * (b - c) ** S(3)) - (a + c * x) ** (S(7) / 2) * (S(6) * b + S(2) * c) / (S(7) * c ** S(3) * (b - c) ** S(3)) + (a + b * x) ** (S(7) / 2) * (S(2) * b + S(6) * c) / (S(7) * b ** S(3) * (b - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (sqrt(a + b * x) + sqrt(a + c * x)) ** S(3), x), x, -S(8) * a * (a + c * x) ** (S(3) / 2) / (S(3) * c * (b - c) ** S(3)) + S(2) * a * (a + c * x) ** (S(3) / 2) * (S(3) * b + c) / (S(3) * c ** S(2) * (b - c) ** S(3)) + S(8) * a * (a + b * x) ** (S(3) / 2) / (S(3) * b * (b - c) ** S(3)) - S(2) * a * (a + b * x) ** (S(3) / 2) * (b + S(3) * c) / (S(3) * b ** S(2) * (b - c) ** S(3)) - (a + c * x) ** (S(5) / 2) * (S(6) * b + S(2) * c) / (S(5) * c ** S(2) * (b - c) ** S(3)) + (a + b * x) ** (S(5) / 2) * (S(2) * b + S(6) * c) / (S(5) * b ** S(2) * (b - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(a + b * x) + sqrt(a + c * x)) ** S(3), x), x, -S(8) * a ** (S(3) / 2) * atanh(sqrt(a + b * x) / sqrt(a)) / (b - c) ** S(3) + S(8) * a ** (S(3) / 2) * atanh(sqrt(a + c * x) / sqrt(a)) / (b - c) ** S(3) + S(8) * a * sqrt(a + b * x) / (b - c) ** S(3) - S(8) * a * sqrt(a + c * x) / (b - c) ** S(3) - (a + c * x) ** (S(3) / 2) * (S(6) * b + S(2) * c) / (S(3) * c * (b - c) ** S(3)) + (a + b * x) ** (S(3) / 2) * (S(2) * b + S(6) * c) / (S(3) * b * (b - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(a + b * x) + sqrt(a + c * x)) ** S(3), x), x, -S(6) * sqrt(a) * (b + c) * atanh(sqrt(a + b * x) / sqrt(a)) / (b - c) ** S(3) + S(6) * sqrt(a) * (b + c) * atanh(sqrt(a + c * x) / sqrt(a)) / (b - c) ** S(3) - S(4) * a * sqrt(a + b * x) / (x * (b - c) ** S(3)) + S(4) * a * sqrt(a + c * x) / (x * (b - c) ** S(3)) + sqrt(a + b * x) * (S(2) * b + S(6) * c) / (b - c) ** S(3) - sqrt(a + c * x) * (S(6) * b + S(2) * c) / (b - c) ** S(3), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(x / (sqrt(a + b * x) + sqrt(a + c * x)) ** S(3), x), x, -S(4) * sqrt(a) * b * atanh(sqrt(a + b * x) / sqrt(a)) / (b - c) ** S(3) + S(4) * sqrt(a) * c * atanh(sqrt(a + c * x) / sqrt(a)) / (b - c) ** S(3) - S(2) * sqrt(a) * (b + S(3) * c) * atanh(sqrt(a + b * x) / sqrt(a)) / (b - c) ** S(3) + S(2) * sqrt(a) * (S(3) * b + c) * atanh(sqrt(a + c * x) / sqrt(a)) / (b - c) ** S(3) - S(4) * a * sqrt(a + b * x) / (x * (b - c) ** S(3)) + S(4) * a * sqrt(a + c * x) / (x * (b - c) ** S(3)) + sqrt(a + b * x) * (S(2) * b + S(6) * c) / (b - c) ** S(3) - sqrt(a + c * x) * (S(6) * b + S(2) * c) / (b - c) ** S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(a + b * x) + sqrt(a + c * x)) ** (S(-3)), x), x, -S(2) * a * sqrt(a + b * x) / (x ** S(2) * (b - c) ** S(3)) + S(2) * a * sqrt(a + c * x) / (x ** S(2) * (b - c) ** S(3)) - sqrt(a + b * x) * (S(2) * b + S(3) * c) / (x * (b - c) ** S(3)) + sqrt(a + c * x) * (S(3) * b + S(2) * c) / (x * (b - c) ** S(3)) - S(3) * b * c * atanh(sqrt(a + b * x) / sqrt(a)) / (sqrt(a) * (b - c) ** S(3)) + S(3) * b * c * atanh(sqrt(a + c * x) / sqrt(a)) / (sqrt(a) * (b - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((sqrt(a + b * x) + sqrt(a + c * x)) ** (S(-3)), x), x, -S(2) * a * sqrt(a + b * x) / (x ** S(2) * (b - c) ** S(3)) + S(2) * a * sqrt(a + c * x) / (x ** S(2) * (b - c) ** S(3)) - b * sqrt(a + b * x) / (x * (b - c) ** S(3)) + c * sqrt(a + c * x) / (x * (b - c) ** S(3)) - sqrt(a + b * x) * (b + S(3) * c) / (x * (b - c) ** S(3)) + sqrt(a + c * x) * (S(3) * b + c) / (x * (b - c) ** S(3)) + b ** S(2) * atanh(sqrt(a + b * x) / sqrt(a)) / (sqrt(a) * (b - c) ** S(3)) - b * (b + S(3) * c) * atanh(sqrt(a + b * x) / sqrt(a)) / (sqrt(a) * (b - c) ** S(3)) - c ** S(2) * atanh(sqrt(a + c * x) / sqrt(a)) / (sqrt(a) * (b - c) ** S(3)) + c * (S(3) * b + c) * atanh(sqrt(a + c * x) / sqrt(a)) / (sqrt(a) * (b - c) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-x + S(1)) * (sqrt(-x + S(1)) + sqrt(x + S(1))), x), x, -(x ** S(2)) / S(2) + x * sqrt(-(x ** S(2)) + S(1)) / S(2) + x + asin(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (-sqrt(-x + S(1)) - sqrt(x + S(1))) * (sqrt(-x + S(1)) + sqrt(x + S(1))), x, ), x, -(x ** S(4)) / S(2) - S(2) * (-(x ** S(2)) + S(1)) ** (S(5) / 2) / S(5) + S(2) * (-(x ** S(2)) + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (-sqrt(-x + S(1)) - sqrt(x + S(1))) * (sqrt(-x + S(1)) + sqrt(x + S(1))), x, ), x, -(x ** S(3)) * sqrt(-(x ** S(2)) + S(1)) / S(2) - S(2) * x ** S(3) / S(3) + x * sqrt(-(x ** S(2)) + S(1)) / S(4) - asin(x) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (-sqrt(-x + S(1)) - sqrt(x + S(1))) * (sqrt(-x + S(1)) + sqrt(x + S(1))), x, ), x, -(x ** S(2)) + S(2) * (-(x ** S(2)) + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-sqrt(-x + S(1)) - sqrt(x + S(1))) * (sqrt(-x + S(1)) + sqrt(x + S(1))), x ), x, -x * sqrt(-(x ** S(2)) + S(1)) - S(2) * x - asin(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-sqrt(-x + S(1)) - sqrt(x + S(1))) * (sqrt(-x + S(1)) + sqrt(x + S(1))) / x, x, ), x, -S(2) * sqrt(-(x ** S(2)) + S(1)) - S(2) * log(x) + S(2) * atanh(sqrt(-(x ** S(2)) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-sqrt(-x + S(1)) - sqrt(x + S(1))) * (sqrt(-x + S(1)) + sqrt(x + S(1))) / x ** S(2), x, ), x, S(2) * asin(x) + S(2) * sqrt(-(x ** S(2)) + S(1)) / x + S(2) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-sqrt(-x + S(1)) - sqrt(x + S(1))) * (sqrt(-x + S(1)) + sqrt(x + S(1))) / x ** S(3), x, ), x, -atanh(sqrt(-(x ** S(2)) + S(1))) + sqrt(-(x ** S(2)) + S(1)) / x ** S(2) + x ** (S(-2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (sqrt(-x + S(1)) + sqrt(x + S(1))) / (-sqrt(-x + S(1)) + sqrt(x + S(1))), x ), x, sqrt(-(x ** S(2)) + S(1)) + log(x) - atanh(sqrt(-(x ** S(2)) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-sqrt(x + S(-1)) + sqrt(x + S(1))) / (sqrt(x + S(-1)) + sqrt(x + S(1))), x ), x, x ** S(2) / S(2) - x * sqrt(x + S(-1)) * sqrt(x + S(1)) / S(2) + acosh(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** n, x ), x, a * f ** S(2) * (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (n + S(1)) * hyper( (S(2), n + S(1)), (n + S(2),), (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / d, ) / (S(2) * d ** S(2) * e * (n + S(1))) + (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (n + S(1)) / (S(2) * e * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** S(3), x ), x, -a * d ** S(3) * f ** S(2) / (S(2) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))) + S(3) * a * d ** S(2) * f ** S(2) * log(e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * e) + a * d * f ** S(2) * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / e + a * f ** S(2) * (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** S(2) / (S(4) * e) + (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** S(4) / (S(8) * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** S(2), x ), x, -a * d ** S(2) * f ** S(2) / (S(2) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))) + a * d * f ** S(2) * log(e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / e + a * f ** S(2) * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * e) + (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** S(3) / (S(6) * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)), x), x, a * f ** S(2) * atanh(e * x / (f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))) / (S(2) * e) + d * x + e * x ** S(2) / S(2) + f * x * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))), x ), x, -a * f ** S(2) / (S(2) * d * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))) - a * f ** S(2) * log(e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * d ** S(2) * e) + (a * f ** S(2) / d ** S(2) + S(1)) * log(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(-2)), x ), x, -a * f ** S(2) / ( S(2) * d ** S(2) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ) - a * f ** S(2) * log(e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (d ** S(3) * e) + a * f ** S(2) * log(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (d ** S(3) * e) - (a * f ** S(2) / d ** S(2) + S(1)) / (S(2) * e * (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(-3)), x ), x, -a * f ** S(2) / ( d ** S(3) * e * (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ) - a * f ** S(2) / ( S(2) * d ** S(3) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ) - S(3) * a * f ** S(2) * log(e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * d ** S(4) * e) + S(3) * a * f ** S(2) * log(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * d ** S(4) * e) - (a * f ** S(2) / d ** S(2) + S(1)) / ( S(4) * e * (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** S(2) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(5) / 2), x, ), x, -S(5) * a * d ** (S(3) / 2) * f ** S(2) * atanh( sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(d) ) / (S(2) * e) - a * d ** S(2) * f ** S(2) * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))) + S(2) * a * d * f ** S(2) * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / e + a * f ** S(2) * (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(3) / 2) / (S(3) * e) + (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(7) / 2) / (S(7) * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(3) / 2), x, ), x, -S(3) * a * sqrt(d) * f ** S(2) * atanh( sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(d) ) / (S(2) * e) - a * d * f ** S(2) * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))) + a * f ** S(2) * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / e + (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(5) / 2) / (S(5) * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))), x ), x, -a * f ** S(2) * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))) - a * f ** S(2) * atanh( sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(d) ) / (S(2) * sqrt(d) * e) + (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(3) / 2) / (S(3) * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))), x ), x, -a * f ** S(2) * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / (S(2) * d * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))) + a * f ** S(2) * atanh( sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(d) ) / (S(2) * d ** (S(3) / 2) * e) + sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / e, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(-3) / 2), x, ), x, -a * f ** S(2) * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / ( S(2) * d ** S(2) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ) + S(3) * a * f ** S(2) * atanh( sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(d) ) / (S(2) * d ** (S(5) / 2) * e) - (a * f ** S(2) / d ** S(2) + S(1)) / (e * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(-5) / 2), x, ), x, -S(2) * a * f ** S(2) / ( d ** S(3) * e * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ) - a * f ** S(2) * sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / ( S(2) * d ** S(3) * e * (e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ) + S(5) * a * f ** S(2) * atanh( sqrt(d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(d) ) / (S(2) * d ** (S(7) / 2) * e) - (a * f ** S(2) / d ** S(2) + S(1)) / ( S(3) * e * (d + e * x + f * sqrt(a + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(3) / 2) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x - sqrt(x ** S(2) + S(-4))), x), x, (x - sqrt(x ** S(2) + S(-4))) ** (S(3) / 2) / S(3) + S(4) / sqrt(x - sqrt(x ** S(2) + S(-4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a * x + b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + c)), x ), x, -(b ** S(2)) * c / (a * sqrt(a * x + b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + c))) + (a * x + b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + c)) ** (S(3) / 2) / (S(3) * a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(-(x ** S(2)) + S(1)) + S(1)), x), x, -S(2) * x ** S(3) / (S(3) * (sqrt(-(x ** S(2)) + S(1)) + S(1)) ** (S(3) / 2)) + S(2) * x / sqrt(sqrt(-(x ** S(2)) + S(1)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(x ** S(2) + S(1)) + S(1)), x), x, S(2) * x ** S(3) / (S(3) * (sqrt(x ** S(2) + S(1)) + S(1)) ** (S(3) / 2)) + S(2) * x / sqrt(sqrt(x ** S(2) + S(1)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(x ** S(2) + S(25)) + S(5)), x), x, S(2) * x ** S(3) / (S(3) * (sqrt(x ** S(2) + S(25)) + S(5)) ** (S(3) / 2)) + S(10) * x / sqrt(sqrt(x ** S(2) + S(25)) + S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(a ** S(2) / b ** S(2) + c * x ** S(2))), x), x, S(2) * a * x / sqrt(a + b * sqrt(a ** S(2) / b ** S(2) + c * x ** S(2))) + S(2) * b ** S(2) * c * x ** S(3) / (S(3) * (a + b * sqrt(a ** S(2) / b ** S(2) + c * x ** S(2))) ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** n, x, ), x, f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (n + S(1)) * hyper( (S(2), n + S(1)), (n + S(2),), S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / (-b * f ** S(2) + S(2) * d * e), ) / (S(2) * e * (n + S(1)) * (-b * f ** S(2) + S(2) * d * e) ** S(2)) + (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (n + S(1)) / (S(2) * e * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** S(3), x, ), x, (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** S(4) / (S(8) * e) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** S(2) / (S(16) * e ** S(3)) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) * (e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / (S(8) * e ** S(4)) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) ** S(3) / ( S(32) * e ** S(5) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) + S(3) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) ** S(2) * log( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) / (S(32) * e ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** S(2), x, ), x, (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** S(3) / (S(6) * e) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / (S(8) * e ** S(3)) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) ** S(2) / ( S(16) * e ** S(4) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) * log( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) / (S(8) * e ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2)), x ), x, d * x + e * x ** S(2) / S(2) + f * (b * f ** S(2) + S(2) * e ** S(2) * x) * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2)) / (S(4) * e ** S(2)) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * atanh( (b * f ** S(2) + S(2) * e ** S(2) * x) / (S(2) * e * f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) / (S(8) * e ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))), x, ), x, (S(2) * a * e * f ** S(2) - S(2) * b * d * f ** S(2) + S(2) * d ** S(2) * e) * log(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / (-b * f ** S(2) + S(2) * d * e) ** S(2) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) / ( S(2) * e * (-b * f ** S(2) + S(2) * d * e) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) - f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * log( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) / (S(2) * e * (-b * f ** S(2) + S(2) * d * e) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(-2)), x, ), x, f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) / ( (-b * f ** S(2) + S(2) * d * e) ** S(2) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) + S(2) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * log(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / (-b * f ** S(2) + S(2) * d * e) ** S(3) - S(2) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * log( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) / (-b * f ** S(2) + S(2) * d * e) ** S(3) - (S(2) * a * e * f ** S(2) - S(2) * b * d * f ** S(2) + S(2) * d ** S(2) * e) / ( (-b * f ** S(2) + S(2) * d * e) ** S(2) * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(-3)), x, ), x, S(2) * e * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) / ( (-b * f ** S(2) + S(2) * d * e) ** S(3) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) + S(6) * e * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * log(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / (-b * f ** S(2) + S(2) * d * e) ** S(4) - S(6) * e * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * log( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) / (-b * f ** S(2) + S(2) * d * e) ** S(4) - S(2) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) / ( (-b * f ** S(2) + S(2) * d * e) ** S(3) * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) - (a * e * f ** S(2) - b * d * f ** S(2) + d ** S(2) * e) / ( (-b * f ** S(2) + S(2) * d * e) ** S(2) * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** S(2) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(5) / 2), x, ), x, (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(7) / 2) / (S(7) * e) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(3) / 2) / (S(12) * e ** S(3)) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) ** S(2) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / ( S(16) * e ** S(4) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / (S(4) * e ** S(4)) - S(5) * sqrt(S(2)) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) ** (S(3) / 2) * atanh( sqrt(S(2)) * sqrt(e) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(-b * f ** S(2) + S(2) * d * e) ) / (S(32) * e ** (S(9) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(3) / 2), x, ), x, (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(5) / 2) / (S(5) * e) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * (-b * f ** S(2) + S(2) * d * e) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / ( S(8) * e ** S(3) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) + f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / (S(4) * e ** S(3)) - S(3) * sqrt(S(2)) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * sqrt(-b * f ** S(2) + S(2) * d * e) * atanh( sqrt(S(2)) * sqrt(e) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(-b * f ** S(2) + S(2) * d * e) ) / (S(16) * e ** (S(7) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))), x ), x, f ** S(2) * (S(4) * a - b ** S(2) * f ** S(2) / e ** S(2)) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / ( -S(4) * b * f ** S(2) + S(8) * d * e - S(8) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) + (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(3) / 2) / (S(3) * e) - sqrt(S(2)) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * atanh( sqrt(S(2)) * sqrt(e) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(-b * f ** S(2) + S(2) * d * e) ) / (S(8) * e ** (S(5) / 2) * sqrt(-b * f ** S(2) + S(2) * d * e)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))), x, ), x, f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / ( S(2) * e * (-b * f ** S(2) + S(2) * d * e) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) + sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / e + sqrt(S(2)) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * atanh( sqrt(S(2)) * sqrt(e) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(-b * f ** S(2) + S(2) * d * e) ) / (S(4) * e ** (S(3) / 2) * (-b * f ** S(2) + S(2) * d * e) ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(-3) / 2), x, ), x, f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / ( (-b * f ** S(2) + S(2) * d * e) ** S(2) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) - (S(4) * a * e * f ** S(2) - S(4) * b * d * f ** S(2) + S(4) * d ** S(2) * e) / ( (-b * f ** S(2) + S(2) * d * e) ** S(2) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) + S(3) * sqrt(S(2)) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * atanh( sqrt(S(2)) * sqrt(e) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(-b * f ** S(2) + S(2) * d * e) ) / (S(2) * sqrt(e) * (-b * f ** S(2) + S(2) * d * e) ** (S(5) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(-5) / 2), x, ), x, S(5) * sqrt(S(2)) * sqrt(e) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * atanh( sqrt(S(2)) * sqrt(e) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / sqrt(-b * f ** S(2) + S(2) * d * e) ) / (-b * f ** S(2) + S(2) * d * e) ** (S(7) / 2) + S(2) * e * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) / ( (-b * f ** S(2) + S(2) * d * e) ** S(3) * ( -b * f ** S(2) + S(2) * d * e - S(2) * e * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) ) - S(4) * f ** S(2) * (S(4) * a * e ** S(2) - b ** S(2) * f ** S(2)) / ( (-b * f ** S(2) + S(2) * d * e) ** S(3) * sqrt(d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ) - (S(4) * a * e * f ** S(2) - S(4) * b * d * f ** S(2) + S(4) * d ** S(2) * e) / ( S(3) * (-b * f ** S(2) + S(2) * d * e) ** S(2) * (d + e * x + f * sqrt(a + b * x + e ** S(2) * x ** S(2) / f ** S(2))) ** (S(3) / 2) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + x ** S(2)) ** S(2) * (x + sqrt(a + x ** S(2))) ** n, x), x, -(a ** S(5)) * (x + sqrt(a + x ** S(2))) ** (n + S(-5)) / (-S(32) * n + S(160)) - S(5) * a ** S(4) * (x + sqrt(a + x ** S(2))) ** (n + S(-3)) / (-S(32) * n + S(96)) - S(5) * a ** S(3) * (x + sqrt(a + x ** S(2))) ** (n + S(-1)) / (-S(16) * n + S(16)) + S(5) * a ** S(2) * (x + sqrt(a + x ** S(2))) ** (n + S(1)) / (S(16) * n + S(16)) + S(5) * a * (x + sqrt(a + x ** S(2))) ** (n + S(3)) / (S(32) * n + S(96)) + (x + sqrt(a + x ** S(2))) ** (n + S(5)) / (S(32) * n + S(160)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + x ** S(2)) * (x + sqrt(a + x ** S(2))) ** n, x), x, -(a ** S(3)) * (x + sqrt(a + x ** S(2))) ** (n + S(-3)) / (-S(8) * n + S(24)) - S(3) * a ** S(2) * (x + sqrt(a + x ** S(2))) ** (n + S(-1)) / (-S(8) * n + S(8)) + S(3) * a * (x + sqrt(a + x ** S(2))) ** (n + S(1)) / (S(8) * n + S(8)) + (x + sqrt(a + x ** S(2))) ** (n + S(3)) / (S(8) * n + S(24)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(a + x ** S(2))) ** n, x), x, -a * (x + sqrt(a + x ** S(2))) ** (n + S(-1)) / (-S(2) * n + S(2)) + (x + sqrt(a + x ** S(2))) ** (n + S(1)) / (S(2) * n + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(a + x ** S(2))) ** n / (a + x ** S(2)), x), x, S(2) * (x + sqrt(a + x ** S(2))) ** (n + S(1)) * hyper( (S(1), n / S(2) + S(1) / 2), (n / S(2) + S(3) / 2,), -((x + sqrt(a + x ** S(2))) ** S(2)) / a, ) / (a * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(a + x ** S(2))) ** n / (a + x ** S(2)) ** S(2), x), x, S(8) * (x + sqrt(a + x ** S(2))) ** (n + S(3)) * hyper( (S(3), n / S(2) + S(3) / 2), (n / S(2) + S(5) / 2,), -((x + sqrt(a + x ** S(2))) ** S(2)) / a, ) / (a ** S(3) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + x ** S(2)) ** S(2) * (x - sqrt(a + x ** S(2))) ** n, x), x, -(a ** S(5)) * (x - sqrt(a + x ** S(2))) ** (n + S(-5)) / (-S(32) * n + S(160)) - S(5) * a ** S(4) * (x - sqrt(a + x ** S(2))) ** (n + S(-3)) / (-S(32) * n + S(96)) - S(5) * a ** S(3) * (x - sqrt(a + x ** S(2))) ** (n + S(-1)) / (-S(16) * n + S(16)) + S(5) * a ** S(2) * (x - sqrt(a + x ** S(2))) ** (n + S(1)) / (S(16) * n + S(16)) + S(5) * a * (x - sqrt(a + x ** S(2))) ** (n + S(3)) / (S(32) * n + S(96)) + (x - sqrt(a + x ** S(2))) ** (n + S(5)) / (S(32) * n + S(160)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + x ** S(2)) * (x - sqrt(a + x ** S(2))) ** n, x), x, -(a ** S(3)) * (x - sqrt(a + x ** S(2))) ** (n + S(-3)) / (-S(8) * n + S(24)) - S(3) * a ** S(2) * (x - sqrt(a + x ** S(2))) ** (n + S(-1)) / (-S(8) * n + S(8)) + S(3) * a * (x - sqrt(a + x ** S(2))) ** (n + S(1)) / (S(8) * n + S(8)) + (x - sqrt(a + x ** S(2))) ** (n + S(3)) / (S(8) * n + S(24)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x - sqrt(a + x ** S(2))) ** n, x), x, -a * (x - sqrt(a + x ** S(2))) ** (n + S(-1)) / (-S(2) * n + S(2)) + (x - sqrt(a + x ** S(2))) ** (n + S(1)) / (S(2) * n + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x - sqrt(a + x ** S(2))) ** n / (a + x ** S(2)), x), x, S(2) * (x - sqrt(a + x ** S(2))) ** (n + S(1)) * hyper( (S(1), n / S(2) + S(1) / 2), (n / S(2) + S(3) / 2,), -((x - sqrt(a + x ** S(2))) ** S(2)) / a, ) / (a * (n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x - sqrt(a + x ** S(2))) ** n / (a + x ** S(2)) ** S(2), x), x, S(8) * (x - sqrt(a + x ** S(2))) ** (n + S(3)) * hyper( (S(3), n / S(2) + S(3) / 2), (n / S(2) + S(5) / 2,), -((x - sqrt(a + x ** S(2))) ** S(2)) / a, ) / (a ** S(3) * (n + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + x ** S(2)) ** (S(5) / 2) * (x + sqrt(a + x ** S(2))) ** n, x ), x, -(a ** S(6)) * (x + sqrt(a + x ** S(2))) ** (n + S(-6)) / (-S(64) * n + S(384)) - S(3) * a ** S(5) * (x + sqrt(a + x ** S(2))) ** (n + S(-4)) / (-S(32) * n + S(128)) - S(15) * a ** S(4) * (x + sqrt(a + x ** S(2))) ** (n + S(-2)) / (-S(64) * n + S(128)) + S(5) * a ** S(3) * (x + sqrt(a + x ** S(2))) ** n / (S(16) * n) + S(15) * a ** S(2) * (x + sqrt(a + x ** S(2))) ** (n + S(2)) / (S(64) * n + S(128)) + S(3) * a * (x + sqrt(a + x ** S(2))) ** (n + S(4)) / (S(32) * n + S(128)) + (x + sqrt(a + x ** S(2))) ** (n + S(6)) / (S(64) * n + S(384)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + x ** S(2)) ** (S(3) / 2) * (x + sqrt(a + x ** S(2))) ** n, x ), x, -(a ** S(4)) * (x + sqrt(a + x ** S(2))) ** (n + S(-4)) / (-S(16) * n + S(64)) - a ** S(3) * (x + sqrt(a + x ** S(2))) ** (n + S(-2)) / (-S(4) * n + S(8)) + S(3) * a ** S(2) * (x + sqrt(a + x ** S(2))) ** n / (S(8) * n) + a * (x + sqrt(a + x ** S(2))) ** (n + S(2)) / (S(4) * n + S(8)) + (x + sqrt(a + x ** S(2))) ** (n + S(4)) / (S(16) * n + S(64)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + x ** S(2)) * (x + sqrt(a + x ** S(2))) ** n, x), x, -(a ** S(2)) * (x + sqrt(a + x ** S(2))) ** (n + S(-2)) / (-S(4) * n + S(8)) + a * (x + sqrt(a + x ** S(2))) ** n / (S(2) * n) + (x + sqrt(a + x ** S(2))) ** (n + S(2)) / (S(4) * n + S(8)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(a + x ** S(2))) ** n / sqrt(a + x ** S(2)), x), x, (x + sqrt(a + x ** S(2))) ** n / n, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x + sqrt(a + x ** S(2))) ** n / (a + x ** S(2)) ** (S(3) / 2), x ), x, S(4) * (x + sqrt(a + x ** S(2))) ** (n + S(2)) * hyper( (S(2), n / S(2) + S(1)), (n / S(2) + S(2),), -((x + sqrt(a + x ** S(2))) ** S(2)) / a, ) / (a ** S(2) * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x + sqrt(a + x ** S(2))) ** n / (a + x ** S(2)) ** (S(5) / 2), x ), x, S(16) * (x + sqrt(a + x ** S(2))) ** (n + S(4)) * hyper( (S(4), n / S(2) + S(2)), (n / S(2) + S(3),), -((x + sqrt(a + x ** S(2))) ** S(2)) / a, ) / (a ** S(4) * (n + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + x ** S(2)) ** (S(5) / 2) * (x - sqrt(a + x ** S(2))) ** n, x ), x, a ** S(6) * (x - sqrt(a + x ** S(2))) ** (n + S(-6)) / (-S(64) * n + S(384)) + S(3) * a ** S(5) * (x - sqrt(a + x ** S(2))) ** (n + S(-4)) / (-S(32) * n + S(128)) + S(15) * a ** S(4) * (x - sqrt(a + x ** S(2))) ** (n + S(-2)) / (-S(64) * n + S(128)) - S(5) * a ** S(3) * (x - sqrt(a + x ** S(2))) ** n / (S(16) * n) - S(15) * a ** S(2) * (x - sqrt(a + x ** S(2))) ** (n + S(2)) / (S(64) * n + S(128)) - S(3) * a * (x - sqrt(a + x ** S(2))) ** (n + S(4)) / (S(32) * n + S(128)) - (x - sqrt(a + x ** S(2))) ** (n + S(6)) / (S(64) * n + S(384)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + x ** S(2)) ** (S(3) / 2) * (x - sqrt(a + x ** S(2))) ** n, x ), x, a ** S(4) * (x - sqrt(a + x ** S(2))) ** (n + S(-4)) / (-S(16) * n + S(64)) + a ** S(3) * (x - sqrt(a + x ** S(2))) ** (n + S(-2)) / (-S(4) * n + S(8)) - S(3) * a ** S(2) * (x - sqrt(a + x ** S(2))) ** n / (S(8) * n) - a * (x - sqrt(a + x ** S(2))) ** (n + S(2)) / (S(4) * n + S(8)) - (x - sqrt(a + x ** S(2))) ** (n + S(4)) / (S(16) * n + S(64)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + x ** S(2)) * (x - sqrt(a + x ** S(2))) ** n, x), x, a ** S(2) * (x - sqrt(a + x ** S(2))) ** (n + S(-2)) / (-S(4) * n + S(8)) - a * (x - sqrt(a + x ** S(2))) ** n / (S(2) * n) - (x - sqrt(a + x ** S(2))) ** (n + S(2)) / (S(4) * n + S(8)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x - sqrt(a + x ** S(2))) ** n / sqrt(a + x ** S(2)), x), x, -((x - sqrt(a + x ** S(2))) ** n) / n, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x - sqrt(a + x ** S(2))) ** n / (a + x ** S(2)) ** (S(3) / 2), x ), x, -S(4) * (x - sqrt(a + x ** S(2))) ** (n + S(2)) * hyper( (S(2), n / S(2) + S(1)), (n / S(2) + S(2),), -((x - sqrt(a + x ** S(2))) ** S(2)) / a, ) / (a ** S(2) * (n + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x - sqrt(a + x ** S(2))) ** n / (a + x ** S(2)) ** (S(5) / 2), x ), x, -S(16) * (x - sqrt(a + x ** S(2))) ** (n + S(4)) * hyper( (S(4), n / S(2) + S(2)), (n / S(2) + S(3),), -((x - sqrt(a + x ** S(2))) ** S(2)) / a, ) / (a ** S(4) * (n + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ** S(2) * ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n, x, ), x, ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(5)) / (S(32) * e * f ** S(4) * (n + S(5))) - (-S(5) * a * f ** S(2) + S(5) * d ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(3)) / (S(32) * e * f ** S(4) * (n + S(3))) + S(5) * (-a * f ** S(2) + d ** S(2)) ** S(2) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(1)) / (S(16) * e * f ** S(4) * (n + S(1))) + (-a * f ** S(2) + d ** S(2)) ** S(5) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-5)) / (S(32) * e * f ** S(4) * (-n + S(5))) - S(5) * (-a * f ** S(2) + d ** S(2)) ** S(4) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-3)) / (S(32) * e * f ** S(4) * (-n + S(3))) + S(5) * (-a * f ** S(2) + d ** S(2)) ** S(3) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-1)) / (S(16) * e * f ** S(4) * (-n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) * ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n, x, ), x, ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(3)) / (S(8) * e * f ** S(2) * (n + S(3))) - (-S(3) * a * f ** S(2) + S(3) * d ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(1)) / (S(8) * e * f ** S(2) * (n + S(1))) + (-a * f ** S(2) + d ** S(2)) ** S(3) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-3)) / (S(8) * e * f ** S(2) * (-n + S(3))) - S(3) * (-a * f ** S(2) + d ** S(2)) ** S(2) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-1)) / (S(8) * e * f ** S(2) * (-n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n, x, ), x, ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(1)) / (S(2) * e * (n + S(1))) + (-a * f ** S(2) + d ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-1)) / (S(2) * e * (-n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n / (a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)), x, ), x, -S(2) * f ** S(2) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(1)) * hyper( (S(1), n / S(2) + S(1) / 2), (n / S(2) + S(3) / 2,), ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** S(2) / (-a * f ** S(2) + d ** S(2)), ) / (e * (n + S(1)) * (-a * f ** S(2) + d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n / (a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ** S(2), x, ), x, -S(8) * f ** S(4) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(3)) * hyper( (S(3), n / S(2) + S(3) / 2), (n / S(2) + S(5) / 2,), ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** S(2) / (-a * f ** S(2) + d ** S(2)), ) / (e * (n + S(3)) * (-a * f ** S(2) + d ** S(2)) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt((a * f ** S(2) + e * x * (S(2) * d + e * x)) / f ** S(2)) ) ** n, x, ), x, ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(1)) / (S(2) * e * (n + S(1))) + (-a * f ** S(2) + d ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-1)) / (S(2) * e * (-n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt((a * f ** S(2) + e * x * (S(2) * d + e * x)) / f ** S(2)) ) ** n / (a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)), x, ), x, -S(2) * f ** S(2) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(1)) * hyper( (S(1), n / S(2) + S(1) / 2), (n / S(2) + S(3) / 2,), ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** S(2) / (-a * f ** S(2) + d ** S(2)), ) / (e * (n + S(1)) * (-a * f ** S(2) + d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ** (S(3) / 2) * ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n, x, ), x, ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(4)) / (S(16) * e * f ** S(3) * (n + S(4))) - (-a * f ** S(2) + d ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(2)) / (S(4) * e * f ** S(3) * (n + S(2))) - (-a * f ** S(2) + d ** S(2)) ** S(4) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-4)) / (S(16) * e * f ** S(3) * (-n + S(4))) + (-a * f ** S(2) + d ** S(2)) ** S(3) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-2)) / (S(4) * e * f ** S(3) * (-n + S(2))) + S(3) * (-a * f ** S(2) + d ** S(2)) ** S(2) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** n / (S(8) * e * f ** S(3) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) * ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n, x, ), x, ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(2)) / (S(4) * e * f * (n + S(2))) - (-a * f ** S(2) + d ** S(2)) ** S(2) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-2)) / (S(4) * e * f * (-n + S(2))) - (-a * f ** S(2) + d ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** n / (S(2) * e * f * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n / sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ), x, ), x, f * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** n / (e * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n / (a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ** (S(3) / 2), x, ), x, S(4) * f ** S(3) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(2)) * hyper( (S(2), n / S(2) + S(1)), (n / S(2) + S(2),), ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** S(2) / (-a * f ** S(2) + d ** S(2)), ) / (e * (n + S(2)) * (-a * f ** S(2) + d ** S(2)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt((a * f ** S(2) + e * x * (S(2) * d + e * x)) / f ** S(2)) ) ** n / sqrt((a * f ** S(2) + e * x * (S(2) * d + e * x)) / f ** S(2)), x, ), x, f * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** n / (e * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n * sqrt( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ), x, ), x, ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(2)) * sqrt( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ) / ( S(4) * e * f * (n + S(2)) * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) - (-a * f ** S(2) + d ** S(2)) ** S(2) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(-2)) * sqrt( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ) / ( S(4) * e * f * (-n + S(2)) * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) - (-a * f ** S(2) + d ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** n * sqrt( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ) / ( S(2) * e * f * n * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n / sqrt( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ), x, ), x, f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** n / ( e * n * sqrt( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** n / ( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ) ** (S(3) / 2), x, ), x, S(4) * f ** S(3) * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** (n + S(2)) * hyper( (S(2), n / S(2) + S(1)), (n / S(2) + S(2),), ( d + e * x + f * sqrt( a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2) ) ) ** S(2) / (-a * f ** S(2) + d ** S(2)), ) / ( e * g * (n + S(2)) * (-a * f ** S(2) + d ** S(2)) ** S(2) * sqrt( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( d + e * x + f * sqrt((a * f ** S(2) + e * x * (S(2) * d + e * x)) / f ** S(2)) ) ** n / sqrt((a * f ** S(2) * g + e * g * x * (S(2) * d + e * x)) / f ** S(2)), x, ), x, f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) * ( d + e * x + f * sqrt(a + S(2) * d * e * x / f ** S(2) + e ** S(2) * x ** S(2) / f ** S(2)) ) ** n / ( e * n * sqrt( a * g + S(2) * d * e * g * x / f ** S(2) + e ** S(2) * g * x ** S(2) / f ** S(2) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(a + c * x ** S(4)) * (d + e * x)), x), x, -e * atanh( (a * e ** S(2) + c * d ** S(2) * x ** S(2)) / (sqrt(a + c * x ** S(4)) * sqrt(a * e ** S(4) + c * d ** S(4))) ) / (S(2) * sqrt(a * e ** S(4) + c * d ** S(4))) + atan( x * sqrt(-(a * e ** S(4) + c * d ** S(4)) / (d ** S(2) * e ** S(2))) / sqrt(a + c * x ** S(4)) ) / (S(2) * d * sqrt(-(a * e ** S(4) + c * d ** S(4)) / (d ** S(2) * e ** S(2)))) + c ** (S(1) / 4) * d * sqrt((a + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2)) * (sqrt(a) + sqrt(c) * x ** S(2)) * elliptic_f(S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2) / ( S(2) * a ** (S(1) / 4) * sqrt(a + c * x ** S(4)) * (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) ) - sqrt((a + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2)) * (sqrt(a) + sqrt(c) * x ** S(2)) * (-sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * elliptic_pi( (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) ** S(2) / (S(4) * sqrt(a) * sqrt(c) * d ** S(2) * e ** S(2)), S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2, ) / ( S(4) * a ** (S(1) / 4) * c ** (S(1) / 4) * d * sqrt(a + c * x ** S(4)) * (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(a + c * x ** S(4)) * (d + e * x) ** S(2)), x), x, -(a ** (S(1) / 4)) * c ** (S(1) / 4) * e ** S(2) * sqrt((a + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2)) * (sqrt(a) + sqrt(c) * x ** S(2)) * elliptic_e(S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2) / (sqrt(a + c * x ** S(4)) * (a * e ** S(4) + c * d ** S(4))) - a ** (S(1) / 4) * c ** (S(1) / 4) * sqrt((a + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2)) * (sqrt(a) + sqrt(c) * x ** S(2)) * (-(e ** S(2)) + sqrt(c) * d ** S(2) / sqrt(a)) * elliptic_f(S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2) / (sqrt(a + c * x ** S(4)) * (S(2) * a * e ** S(4) + S(2) * c * d ** S(4))) + sqrt(c) * e ** S(2) * x * sqrt(a + c * x ** S(4)) / ((sqrt(a) + sqrt(c) * x ** S(2)) * (a * e ** S(4) + c * d ** S(4))) - c * d ** S(3) * e * atanh( (a * e ** S(2) + c * d ** S(2) * x ** S(2)) / (sqrt(a + c * x ** S(4)) * sqrt(a * e ** S(4) + c * d ** S(4))) ) / (a * e ** S(4) + c * d ** S(4)) ** (S(3) / 2) - c * atan( x * sqrt(-(a * e ** S(4) + c * d ** S(4)) / (d ** S(2) * e ** S(2))) / sqrt(a + c * x ** S(4)) ) / ( e ** S(2) * (-(a * e ** S(4) + c * d ** S(4)) / (d ** S(2) * e ** S(2))) ** (S(3) / 2) ) - e ** S(3) * sqrt(a + c * x ** S(4)) / ((d + e * x) * (a * e ** S(4) + c * d ** S(4))) + c ** (S(5) / 4) * d ** S(4) * sqrt((a + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2)) * (sqrt(a) + sqrt(c) * x ** S(2)) * elliptic_f(S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2) / ( a ** (S(1) / 4) * sqrt(a + c * x ** S(4)) * (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * (a * e ** S(4) + c * d ** S(4)) ) - c ** (S(3) / 4) * d ** S(2) * sqrt((a + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2)) * (sqrt(a) + sqrt(c) * x ** S(2)) * (-sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * elliptic_pi( (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) ** S(2) / (S(4) * sqrt(a) * sqrt(c) * d ** S(2) * e ** S(2)), S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2, ) / ( S(2) * a ** (S(1) / 4) * sqrt(a + c * x ** S(4)) * (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * (a * e ** S(4) + c * d ** S(4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ((d + e * x) * sqrt(a + b * x ** S(2) + c * x ** S(4))), x ), x, -e * atanh( ( S(2) * a * e ** S(2) + b * d ** S(2) + x ** S(2) * (b * e ** S(2) + S(2) * c * d ** S(2)) ) / ( S(2) * sqrt(a + b * x ** S(2) + c * x ** S(4)) * sqrt(a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4)) ) ) / (S(2) * sqrt(a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4))) + atan( x * sqrt(-b - (a * e ** S(4) + c * d ** S(4)) / (d ** S(2) * e ** S(2))) / sqrt(a + b * x ** S(2) + c * x ** S(4)) ) / ( S(2) * d * sqrt(-b - (a * e ** S(4) + c * d ** S(4)) / (d ** S(2) * e ** S(2))) ) + c ** (S(1) / 4) * d * sqrt( (a + b * x ** S(2) + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2) ) * (sqrt(a) + sqrt(c) * x ** S(2)) * elliptic_f( S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2 - b / (S(4) * sqrt(a) * sqrt(c)), ) / ( S(2) * a ** (S(1) / 4) * (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * sqrt(a + b * x ** S(2) + c * x ** S(4)) ) - sqrt( (a + b * x ** S(2) + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2) ) * (sqrt(a) + sqrt(c) * x ** S(2)) * (-sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * elliptic_pi( (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) ** S(2) / (S(4) * sqrt(a) * sqrt(c) * d ** S(2) * e ** S(2)), S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2 - b / (S(4) * sqrt(a) * sqrt(c)), ) / ( S(4) * a ** (S(1) / 4) * c ** (S(1) / 4) * d * (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * sqrt(a + b * x ** S(2) + c * x ** S(4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ((d + e * x) ** S(2) * sqrt(a + b * x ** S(2) + c * x ** S(4))), x ), x, -(a ** (S(1) / 4)) * c ** (S(1) / 4) * e ** S(2) * sqrt( (a + b * x ** S(2) + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2) ) * (sqrt(a) + sqrt(c) * x ** S(2)) * elliptic_e( S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2 - b / (S(4) * sqrt(a) * sqrt(c)), ) / ( sqrt(a + b * x ** S(2) + c * x ** S(4)) * (a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4)) ) - a ** (S(1) / 4) * c ** (S(1) / 4) * sqrt( (a + b * x ** S(2) + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2) ) * (sqrt(a) + sqrt(c) * x ** S(2)) * (-(e ** S(2)) + sqrt(c) * d ** S(2) / sqrt(a)) * elliptic_f( S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2 - b / (S(4) * sqrt(a) * sqrt(c)), ) / ( sqrt(a + b * x ** S(2) + c * x ** S(4)) * ( S(2) * a * e ** S(4) + S(2) * b * d ** S(2) * e ** S(2) + S(2) * c * d ** S(4) ) ) + sqrt(c) * e ** S(2) * x * sqrt(a + b * x ** S(2) + c * x ** S(4)) / ( (sqrt(a) + sqrt(c) * x ** S(2)) * (a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4)) ) - d * e * (b * e ** S(2) + S(2) * c * d ** S(2)) * atanh( ( S(2) * a * e ** S(2) + b * d ** S(2) + x ** S(2) * (b * e ** S(2) + S(2) * c * d ** S(2)) ) / ( S(2) * sqrt(a + b * x ** S(2) + c * x ** S(4)) * sqrt(a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4)) ) ) / ( S(2) * (a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4)) ** (S(3) / 2) ) - e ** S(3) * sqrt(a + b * x ** S(2) + c * x ** S(4)) / ((d + e * x) * (a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4))) - (b * e ** S(2) + S(2) * c * d ** S(2)) * atan( x * sqrt(-b - (a * e ** S(4) + c * d ** S(4)) / (d ** S(2) * e ** S(2))) / sqrt(a + b * x ** S(2) + c * x ** S(4)) ) / ( S(2) * d ** S(2) * e ** S(2) * (-b - (a * e ** S(4) + c * d ** S(4)) / (d ** S(2) * e ** S(2))) ** (S(3) / 2) ) + c ** (S(1) / 4) * d ** S(2) * sqrt( (a + b * x ** S(2) + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2) ) * (sqrt(a) + sqrt(c) * x ** S(2)) * (b * e ** S(2) + S(2) * c * d ** S(2)) * elliptic_f( S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2 - b / (S(4) * sqrt(a) * sqrt(c)), ) / ( S(2) * a ** (S(1) / 4) * (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * sqrt(a + b * x ** S(2) + c * x ** S(4)) * (a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4)) ) - sqrt( (a + b * x ** S(2) + c * x ** S(4)) / (sqrt(a) + sqrt(c) * x ** S(2)) ** S(2) ) * (sqrt(a) + sqrt(c) * x ** S(2)) * (-sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * (b * e ** S(2) + S(2) * c * d ** S(2)) * elliptic_pi( (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) ** S(2) / (S(4) * sqrt(a) * sqrt(c) * d ** S(2) * e ** S(2)), S(2) * atan(c ** (S(1) / 4) * x / a ** (S(1) / 4)), S(1) / 2 - b / (S(4) * sqrt(a) * sqrt(c)), ) / ( S(4) * a ** (S(1) / 4) * c ** (S(1) / 4) * (sqrt(a) * e ** S(2) + sqrt(c) * d ** S(2)) * sqrt(a + b * x ** S(2) + c * x ** S(4)) * (a * e ** S(4) + b * d ** S(2) * e ** S(2) + c * d ** S(4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a + b * x ** S(2) + c * x ** S(4)) / (a * d - c * d * x ** S(4)), x ), x, -sqrt(-S(2) * sqrt(a) * sqrt(c) + b) * atanh( x * sqrt(-S(2) * sqrt(a) * sqrt(c) + b) / sqrt(a + b * x ** S(2) + c * x ** S(4)) ) / (S(4) * sqrt(a) * sqrt(c) * d) + sqrt(S(2) * sqrt(a) * sqrt(c) + b) * atanh( x * sqrt(S(2) * sqrt(a) * sqrt(c) + b) / sqrt(a + b * x ** S(2) + c * x ** S(4)) ) / (S(4) * sqrt(a) * sqrt(c) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a + b * x ** S(2) - c * x ** S(4)) / (a * d + c * d * x ** S(4)), x ), x, sqrt(S(2)) * sqrt(-b + sqrt(S(4) * a * c + b ** S(2))) * atanh( sqrt(S(2)) * x * sqrt(-b + sqrt(S(4) * a * c + b ** S(2))) * (b - S(2) * c * x ** S(2) + sqrt(S(4) * a * c + b ** S(2))) / (S(4) * sqrt(a) * sqrt(c) * sqrt(a + b * x ** S(2) - c * x ** S(4))) ) / (S(4) * sqrt(a) * sqrt(c) * d) - sqrt(S(2)) * sqrt(b + sqrt(S(4) * a * c + b ** S(2))) * atan( sqrt(S(2)) * x * sqrt(b + sqrt(S(4) * a * c + b ** S(2))) * (b - S(2) * c * x ** S(2) - sqrt(S(4) * a * c + b ** S(2))) / (S(4) * sqrt(a) * sqrt(c) * sqrt(a + b * x ** S(2) - c * x ** S(4))) ) / (S(4) * sqrt(a) * sqrt(c) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x), x, ), x, b * x ** S(2) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (c + d * x ** S(2) + e * x) ** (S(3) / 2) / (S(5) * d * (a + b * x ** S(2))) - sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (c + d * x ** S(2) + e * x) ** (S(3) / 2) * ( -S(80) * a * d ** S(2) + S(32) * b * c * d + S(42) * b * d * e * x - S(35) * b * e ** S(2) ) / (S(240) * d ** S(3) * (a + b * x ** S(2))) + e * (S(2) * d * x + e) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) * (-S(16) * a * d ** S(2) + S(12) * b * c * d - S(7) * b * e ** S(2)) / (S(128) * d ** S(4) * (a + b * x ** S(2))) + e * (S(4) * c * d - e ** S(2)) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (-S(16) * a * d ** S(2) + S(12) * b * c * d - S(7) * b * e ** S(2)) * atanh((S(2) * d * x + e) / (S(2) * sqrt(d) * sqrt(c + d * x ** S(2) + e * x))) / (S(256) * d ** (S(9) / 2) * (a + b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x), x, ), x, -b * (-S(6) * d * x + S(5) * e) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (c + d * x ** S(2) + e * x) ** (S(3) / 2) / (S(24) * d ** S(2) * (a + b * x ** S(2))) - (S(2) * d * x + e) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) * (-S(16) * a * d ** S(2) + S(4) * b * c * d - S(5) * b * e ** S(2)) / (S(64) * d ** S(3) * (a + b * x ** S(2))) - (S(4) * c * d - e ** S(2)) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (-S(16) * a * d ** S(2) + S(4) * b * c * d - S(5) * b * e ** S(2)) * atanh((S(2) * d * x + e) / (S(2) * sqrt(d) * sqrt(c + d * x ** S(2) + e * x))) / (S(128) * d ** (S(7) / 2) * (a + b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) / x, x, ), x, -a * sqrt(c) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * atanh((S(2) * c + e * x) / (S(2) * sqrt(c) * sqrt(c + d * x ** S(2) + e * x))) / (a + b * x ** S(2)) + b * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (c + d * x ** S(2) + e * x) ** (S(3) / 2) / (S(3) * d * (a + b * x ** S(2))) + sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) * (S(8) * a * d ** S(2) - S(2) * b * d * e * x - b * e ** S(2)) / (S(8) * d ** S(2) * (a + b * x ** S(2))) + e * (S(8) * a * d ** S(2) - b * (S(4) * c * d - e ** S(2))) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * atanh((S(2) * d * x + e) / (S(2) * sqrt(d) * sqrt(c + d * x ** S(2) + e * x))) / (S(16) * d ** (S(5) / 2) * (a + b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) / x ** S(2), x, ), x, -a * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (c + d * x ** S(2) + e * x) ** (S(3) / 2) / (c * x * (a + b * x ** S(2))) - a * e * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * atanh((S(2) * c + e * x) / (S(2) * sqrt(c) * sqrt(c + d * x ** S(2) + e * x))) / (S(2) * sqrt(c) * (a + b * x ** S(2))) + sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (S(8) * a * d ** S(2) + S(4) * b * c * d - b * e ** S(2)) * atanh((S(2) * d * x + e) / (S(2) * sqrt(d) * sqrt(c + d * x ** S(2) + e * x))) / (S(8) * d ** (S(3) / 2) * (a + b * x ** S(2))) + (S(2) * d * x * (S(2) * a * d + b * c) + e * (S(4) * a * d + b * c)) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) / (S(4) * c * d * (a + b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) / x ** S(3), x, ), x, -a * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (c + d * x ** S(2) + e * x) ** (S(3) / 2) / (S(2) * c * x ** S(2) * (a + b * x ** S(2))) + b * e * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * atanh((S(2) * d * x + e) / (S(2) * sqrt(d) * sqrt(c + d * x ** S(2) + e * x))) / (S(2) * sqrt(d) * (a + b * x ** S(2))) + (a * e + x * (S(2) * a * d + S(4) * b * c)) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) / (S(4) * c * x * (a + b * x ** S(2))) - sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (S(4) * a * c * d - a * e ** S(2) + S(8) * b * c ** S(2)) * atanh((S(2) * c + e * x) / (S(2) * sqrt(c) * sqrt(c + d * x ** S(2) + e * x))) / (S(8) * c ** (S(3) / 2) * (a + b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) / x ** S(4), x, ), x, -a * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * (c + d * x ** S(2) + e * x) ** (S(3) / 2) / (S(3) * c * x ** S(3) * (a + b * x ** S(2))) + b * sqrt(d) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * atanh((S(2) * d * x + e) / (S(2) * sqrt(d) * sqrt(c + d * x ** S(2) + e * x))) / (a + b * x ** S(2)) + (S(2) * a * c * e - x * (-a * e ** S(2) + S(8) * b * c ** S(2))) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * sqrt(c + d * x ** S(2) + e * x) / (S(8) * c ** S(2) * x ** S(2) * (a + b * x ** S(2))) - e * (-a * (S(4) * c * d - e ** S(2)) + S(8) * b * c ** S(2)) * sqrt(a ** S(2) + S(2) * a * b * x ** S(2) + b ** S(2) * x ** S(4)) * atanh((S(2) * c + e * x) / (S(2) * sqrt(c) * sqrt(c + d * x ** S(2) + e * x))) / (S(16) * c ** (S(5) / 2) * (a + b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(3)) * sqrt(x ** S(3) + S(1))), x), x, sqrt(S(26)) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * (x + S(1)) * atan( sqrt(S(2)) * S(3) ** (S(3) / 4) * sqrt( S(1) - (x - sqrt(S(3)) + S(1)) ** S(2) / (x + S(1) + sqrt(S(3))) ** S(2) ) * sqrt(-S(13) * sqrt(S(3)) + S(26)) / ( S(6) * sqrt( -S(4) * sqrt(S(3)) + S(7) + (x - sqrt(S(3)) + S(1)) ** S(2) / (x + S(1) + sqrt(S(3))) ** S(2) ) ) ) / ( S(26) * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ) + S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(S(15) * sqrt(S(3)) + S(26)) * (x + S(1)) * elliptic_f( asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(3) * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ) - S(4) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * (x + S(1)) * elliptic_pi( -S(56) * sqrt(S(3)) + S(97), asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-sqrt(S(3)) + S(2)) * sqrt(x ** S(3) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(3)) * sqrt(-(x ** S(3)) + S(1))), x), x, -sqrt(S(7)) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * (-x + S(1)) * atanh( S(3) ** (S(3) / 4) * sqrt( S(1) - (-x - sqrt(S(3)) + S(1)) ** S(2) / (-x + S(1) + sqrt(S(3))) ** S(2) ) * sqrt(-S(7) * sqrt(S(3)) + S(14)) / ( S(6) * sqrt( -S(4) * sqrt(S(3)) + S(7) + (-x - sqrt(S(3)) + S(1)) ** S(2) / (-x + S(1) + sqrt(S(3))) ** S(2) ) ) ) / ( S(14) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-(x ** S(3)) + S(1)) ) - S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(sqrt(S(3)) + S(2)) * (-x + S(1)) * elliptic_f( asin((-x - sqrt(S(3)) + S(1)) / (-x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(3) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * (sqrt(S(3)) + S(4)) * sqrt(-(x ** S(3)) + S(1)) ) - S(4) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(sqrt(S(3)) + S(2)) * (-x + S(1)) * elliptic_pi( S(304) * sqrt(S(3)) / S(169) + S(553) / 169, asin((-x - sqrt(S(3)) + S(1)) / (-x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(13) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-(x ** S(3)) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(3)) * sqrt(x ** S(3) + S(-1))), x), x, -sqrt(S(7)) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * (-x + S(1)) * atan( S(3) ** (S(3) / 4) * sqrt(S(7) * sqrt(S(3)) + S(14)) * sqrt( -((-x + S(1) + sqrt(S(3))) ** S(2)) / (-x - sqrt(S(3)) + S(1)) ** S(2) + S(1) ) / ( S(6) * sqrt( (-x + S(1) + sqrt(S(3))) ** S(2) / (-x - sqrt(S(3)) + S(1)) ** S(2) + S(4) * sqrt(S(3)) + S(7) ) ) ) / ( S(14) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ) - S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-S(3) * sqrt(S(3)) + S(14)) * (-x + S(1)) * elliptic_f( asin((-x + S(1) + sqrt(S(3))) / (-x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(39) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ) + S(4) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-sqrt(S(3)) + S(2)) * (-x + S(1)) * elliptic_pi( -S(304) * sqrt(S(3)) / S(169) + S(553) / 169, asin((-x + S(1) + sqrt(S(3))) / (-x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(13) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(3)) * sqrt(-(x ** S(3)) + S(-1))), x), x, sqrt(S(26)) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * (x + S(1)) * atanh( sqrt(S(2)) * S(3) ** (S(3) / 4) * sqrt(S(13) * sqrt(S(3)) + S(26)) * sqrt( -((x + S(1) + sqrt(S(3))) ** S(2)) / (x - sqrt(S(3)) + S(1)) ** S(2) + S(1) ) / ( S(6) * sqrt( (x + S(1) + sqrt(S(3))) ** S(2) / (x - sqrt(S(3)) + S(1)) ** S(2) + S(4) * sqrt(S(3)) + S(7) ) ) ) / ( S(26) * sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-(x ** S(3)) + S(-1)) ) + S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-S(15) * sqrt(S(3)) + S(26)) * (x + S(1)) * elliptic_f( asin((x + S(1) + sqrt(S(3))) / (x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(3) * sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-(x ** S(3)) + S(-1)) ) + S(4) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * (x + S(1)) * elliptic_pi( S(56) * sqrt(S(3)) + S(97), asin((x + S(1) + sqrt(S(3))) / (x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(sqrt(S(3)) + S(2)) * sqrt(-(x ** S(3)) + S(-1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((x + S(3)) * sqrt(x ** S(3) + S(1))), x), x, -S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(S(112) * sqrt(S(3)) + S(194)) * (x + S(1)) * elliptic_f( asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(3) * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ) + S(12) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * (x + S(1)) * elliptic_pi( -S(56) * sqrt(S(3)) + S(97), asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-sqrt(S(3)) + S(2)) * sqrt(x ** S(3) + S(1)) ) - sqrt(S(26)) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * (S(3) * x + S(3)) * atan( sqrt(S(2)) * S(3) ** (S(3) / 4) * sqrt( S(1) - (x - sqrt(S(3)) + S(1)) ** S(2) / (x + S(1) + sqrt(S(3))) ** S(2) ) * sqrt(-S(13) * sqrt(S(3)) + S(26)) / ( S(6) * sqrt( -S(4) * sqrt(S(3)) + S(7) + (x - sqrt(S(3)) + S(1)) ** S(2) / (x + S(1) + sqrt(S(3))) ** S(2) ) ) ) / ( S(26) * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((x + S(3)) * sqrt(-(x ** S(3)) + S(1))), x), x, sqrt(S(7)) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * (-S(3) * x + S(3)) * atanh( S(3) ** (S(3) / 4) * sqrt( S(1) - (-x - sqrt(S(3)) + S(1)) ** S(2) / (-x + S(1) + sqrt(S(3))) ** S(2) ) * sqrt(-S(7) * sqrt(S(3)) + S(14)) / ( S(6) * sqrt( -S(4) * sqrt(S(3)) + S(7) + (-x - sqrt(S(3)) + S(1)) ** S(2) / (-x + S(1) + sqrt(S(3))) ** S(2) ) ) ) / ( S(14) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-(x ** S(3)) + S(1)) ) - S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(S(40) * sqrt(S(3)) + S(74)) * (-x + S(1)) * elliptic_f( asin((-x - sqrt(S(3)) + S(1)) / (-x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(39) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-(x ** S(3)) + S(1)) ) + S(12) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(sqrt(S(3)) + S(2)) * (-x + S(1)) * elliptic_pi( S(304) * sqrt(S(3)) / S(169) + S(553) / 169, asin((-x - sqrt(S(3)) + S(1)) / (-x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(13) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-(x ** S(3)) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((x + S(3)) * sqrt(x ** S(3) + S(-1))), x), x, sqrt(S(7)) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * (-S(3) * x + S(3)) * atan( S(3) ** (S(3) / 4) * sqrt(S(7) * sqrt(S(3)) + S(14)) * sqrt( -((-x + S(1) + sqrt(S(3))) ** S(2)) / (-x - sqrt(S(3)) + S(1)) ** S(2) + S(1) ) / ( S(6) * sqrt( (-x + S(1) + sqrt(S(3))) ** S(2) / (-x - sqrt(S(3)) + S(1)) ** S(2) + S(4) * sqrt(S(3)) + S(7) ) ) ) / ( S(14) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ) + S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-S(40) * sqrt(S(3)) + S(74)) * (-x + S(1)) * elliptic_f( asin((-x + S(1) + sqrt(S(3))) / (-x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(39) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ) - S(12) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-sqrt(S(3)) + S(2)) * (-x + S(1)) * elliptic_pi( -S(304) * sqrt(S(3)) / S(169) + S(553) / 169, asin((-x + S(1) + sqrt(S(3))) / (-x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(13) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((x + S(3)) * sqrt(-(x ** S(3)) + S(-1))), x), x, S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-S(112) * sqrt(S(3)) + S(194)) * (x + S(1)) * elliptic_f( asin((x + S(1) + sqrt(S(3))) / (x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(3) * sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-(x ** S(3)) + S(-1)) ) - S(12) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * (x + S(1)) * elliptic_pi( S(56) * sqrt(S(3)) + S(97), asin((x + S(1) + sqrt(S(3))) / (x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(sqrt(S(3)) + S(2)) * sqrt(-(x ** S(3)) + S(-1)) ) - sqrt(S(26)) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * (S(3) * x + S(3)) * atanh( sqrt(S(2)) * S(3) ** (S(3) / 4) * sqrt(S(13) * sqrt(S(3)) + S(26)) * sqrt( -((x + S(1) + sqrt(S(3))) ** S(2)) / (x - sqrt(S(3)) + S(1)) ** S(2) + S(1) ) / ( S(6) * sqrt( (x + S(1) + sqrt(S(3))) ** S(2) / (x - sqrt(S(3)) + S(1)) ** S(2) + S(4) * sqrt(S(3)) + S(7) ) ) ) / ( S(26) * sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-(x ** S(3)) + S(-1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-S(3) * x + S(2)) / ((x + S(3)) * sqrt(x ** S(3) + S(1))), x), x, S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(S(1560) * sqrt(S(3)) + S(2702)) * (x + S(1)) * elliptic_f( asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(3) * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ) - S(44) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * (x + S(1)) * elliptic_pi( -S(56) * sqrt(S(3)) + S(97), asin((x - sqrt(S(3)) + S(1)) / (x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-sqrt(S(3)) + S(2)) * sqrt(x ** S(3) + S(1)) ) + sqrt(S(26)) * sqrt((x ** S(2) - x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * (S(11) * x + S(11)) * atan( sqrt(S(2)) * S(3) ** (S(3) / 4) * sqrt( S(1) - (x - sqrt(S(3)) + S(1)) ** S(2) / (x + S(1) + sqrt(S(3))) ** S(2) ) * sqrt(-S(13) * sqrt(S(3)) + S(26)) / ( S(6) * sqrt( -S(4) * sqrt(S(3)) + S(7) + (x - sqrt(S(3)) + S(1)) ** S(2) / (x + S(1) + sqrt(S(3))) ** S(2) ) ) ) / ( S(26) * sqrt((x + S(1)) / (x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(x ** S(3) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(3) * x + S(2)) / ((x + S(3)) * sqrt(-(x ** S(3)) + S(1))), x ), x, -sqrt(S(7)) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * (-S(11) * x + S(11)) * atanh( S(3) ** (S(3) / 4) * sqrt( S(1) - (-x - sqrt(S(3)) + S(1)) ** S(2) / (-x + S(1) + sqrt(S(3))) ** S(2) ) * sqrt(-S(7) * sqrt(S(3)) + S(14)) / ( S(6) * sqrt( -S(4) * sqrt(S(3)) + S(7) + (-x - sqrt(S(3)) + S(1)) ** S(2) / (-x + S(1) + sqrt(S(3))) ** S(2) ) ) ) / ( S(14) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-(x ** S(3)) + S(1)) ) + S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(S(168) * sqrt(S(3)) + S(446)) * (-x + S(1)) * elliptic_f( asin((-x - sqrt(S(3)) + S(1)) / (-x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(39) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-(x ** S(3)) + S(1)) ) - S(44) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(sqrt(S(3)) + S(2)) * (-x + S(1)) * elliptic_pi( S(304) * sqrt(S(3)) / S(169) + S(553) / 169, asin((-x - sqrt(S(3)) + S(1)) / (-x + S(1) + sqrt(S(3)))), S(-7) - S(4) * sqrt(S(3)), ) / ( S(13) * sqrt((-x + S(1)) / (-x + S(1) + sqrt(S(3))) ** S(2)) * sqrt(-(x ** S(3)) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-S(3) * x + S(2)) / ((x + S(3)) * sqrt(x ** S(3) + S(-1))), x), x, -sqrt(S(7)) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * (-S(11) * x + S(11)) * atan( S(3) ** (S(3) / 4) * sqrt(S(7) * sqrt(S(3)) + S(14)) * sqrt( -((-x + S(1) + sqrt(S(3))) ** S(2)) / (-x - sqrt(S(3)) + S(1)) ** S(2) + S(1) ) / ( S(6) * sqrt( (-x + S(1) + sqrt(S(3))) ** S(2) / (-x - sqrt(S(3)) + S(1)) ** S(2) + S(4) * sqrt(S(3)) + S(7) ) ) ) / ( S(14) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ) - S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-S(168) * sqrt(S(3)) + S(446)) * (-x + S(1)) * elliptic_f( asin((-x + S(1) + sqrt(S(3))) / (-x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(39) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ) + S(44) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) + x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-sqrt(S(3)) + S(2)) * (-x + S(1)) * elliptic_pi( -S(304) * sqrt(S(3)) / S(169) + S(553) / 169, asin((-x + S(1) + sqrt(S(3))) / (-x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(13) * sqrt(-(-x + S(1)) / (-x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(x ** S(3) + S(-1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(3) * x + S(2)) / ((x + S(3)) * sqrt(-(x ** S(3)) + S(-1))), x ), x, -S(2) * S(3) ** (S(3) / 4) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-S(1560) * sqrt(S(3)) + S(2702)) * (x + S(1)) * elliptic_f( asin((x + S(1) + sqrt(S(3))) / (x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( S(3) * sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-(x ** S(3)) + S(-1)) ) + S(44) * S(3) ** (S(1) / 4) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * (x + S(1)) * elliptic_pi( S(56) * sqrt(S(3)) + S(97), asin((x + S(1) + sqrt(S(3))) / (x - sqrt(S(3)) + S(1))), S(-7) + S(4) * sqrt(S(3)), ) / ( sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(sqrt(S(3)) + S(2)) * sqrt(-(x ** S(3)) + S(-1)) ) + sqrt(S(26)) * sqrt((x ** S(2) - x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * (S(11) * x + S(11)) * atanh( sqrt(S(2)) * S(3) ** (S(3) / 4) * sqrt(S(13) * sqrt(S(3)) + S(26)) * sqrt( -((x + S(1) + sqrt(S(3))) ** S(2)) / (x - sqrt(S(3)) + S(1)) ** S(2) + S(1) ) / ( S(6) * sqrt( (x + S(1) + sqrt(S(3))) ** S(2) / (x - sqrt(S(3)) + S(1)) ** S(2) + S(4) * sqrt(S(3)) + S(7) ) ) ) / ( S(26) * sqrt(-(x + S(1)) / (x - sqrt(S(3)) + S(1)) ** S(2)) * sqrt(-(x ** S(3)) + S(-1)) ), expand=True, _diff=True, _numerical=True, ) # sympy and mathematica assert rubi_test(rubi_integrate((d**S(3) + e**S(3)*x**S(3))**p/(d + e*x), x), x, (S(1) + (S(2)*d + S(2)*e*x)/(d*(S(-3) + sqrt(S(3))*I)))**(-p)*(S(1) - (S(2)*d + S(2)*e*x)/(d*(S(3) + sqrt(S(3))*I)))**(-p)*(d**S(3) + e**S(3)*x**S(3))**p*AppellF1(p, -p, -p, p + S(1), -(S(2)*d + S(2)*e*x)/(d*(S(-3) + sqrt(S(3))*I)), (S(2)*d + S(2)*e*x)/(d*(S(3) + sqrt(S(3))*I)))/(e*p), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate( S(1) / ((a + b * x) * sqrt(c + d * x ** S(2)) * sqrt(e + f * x ** S(2))), x ), x, a * sqrt(e) * sqrt(f) * sqrt(c + d * x ** S(2)) * elliptic_f(atan(sqrt(f) * x / sqrt(e)), S(1) - d * e / (c * f)) / ( c * sqrt(e * (c + d * x ** S(2)) / (c * (e + f * x ** S(2)))) * sqrt(e + f * x ** S(2)) * (a ** S(2) * f + b ** S(2) * e) ) - b * atanh( sqrt(c + d * x ** S(2)) * sqrt(a ** S(2) * f + b ** S(2) * e) / (sqrt(e + f * x ** S(2)) * sqrt(a ** S(2) * d + b ** S(2) * c)) ) / (sqrt(a ** S(2) * d + b ** S(2) * c) * sqrt(a ** S(2) * f + b ** S(2) * e)) + b ** S(2) * e ** (S(3) / 2) * sqrt(c + d * x ** S(2)) * elliptic_pi( S(1) + b ** S(2) * e / (a ** S(2) * f), atan(sqrt(f) * x / sqrt(e)), S(1) - d * e / (c * f), ) / ( a * c * sqrt(f) * sqrt(e * (c + d * x ** S(2)) / (c * (e + f * x ** S(2)))) * sqrt(e + f * x ** S(2)) * (a ** S(2) * f + b ** S(2) * e) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (e - S(2) * f * x ** S(2)) / ( S(4) * d * f * x ** S(2) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, -log(e - S(2) * sqrt(f) * x * sqrt(-d) + S(2) * f * x ** S(2)) / (S(4) * sqrt(f) * sqrt(-d)) + log(e + S(2) * sqrt(f) * x * sqrt(-d) + S(2) * f * x ** S(2)) / (S(4) * sqrt(f) * sqrt(-d)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (e - S(2) * f * x ** S(2)) / ( -S(4) * d * f * x ** S(2) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, -log(-S(2) * sqrt(d) * sqrt(f) * x + e + S(2) * f * x ** S(2)) / (S(4) * sqrt(d) * sqrt(f)) + log(S(2) * sqrt(d) * sqrt(f) * x + e + S(2) * f * x ** S(2)) / (S(4) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (e - S(4) * f * x ** S(3)) / ( S(4) * d * f * x ** S(2) + e ** S(2) + S(4) * e * f * x ** S(3) + S(4) * f ** S(2) * x ** S(6) ), x, ), x, atan(S(2) * sqrt(d) * sqrt(f) * x / (e + S(2) * f * x ** S(3))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (e - S(4) * f * x ** S(3)) / ( -S(4) * d * f * x ** S(2) + e ** S(2) + S(4) * e * f * x ** S(3) + S(4) * f ** S(2) * x ** S(6) ), x, ), x, atanh(S(2) * sqrt(d) * sqrt(f) * x / (e + S(2) * f * x ** S(3))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (e - S(2) * f * x ** n * (n + S(-1))) / ( S(4) * d * f * x ** S(2) + e ** S(2) + S(4) * e * f * x ** n + S(4) * f ** S(2) * x ** (S(2) * n) ), x, ), x, atan(S(2) * sqrt(d) * sqrt(f) * x / (e + S(2) * f * x ** n)) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (e - S(2) * f * x ** n * (n + S(-1))) / ( -S(4) * d * f * x ** S(2) + e ** S(2) + S(4) * e * f * x ** n + S(4) * f ** S(2) * x ** (S(2) * n) ), x, ), x, atanh(S(2) * sqrt(d) * sqrt(f) * x / (e + S(2) * f * x ** n)) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / ( S(4) * d * f * x ** S(4) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, atan(sqrt(f) * (e + x ** S(2) * (S(2) * d + S(2) * f)) / (sqrt(d) * e)) / (S(4) * sqrt(d) * e * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / ( -S(4) * d * f * x ** S(4) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, -atanh(sqrt(f) * (e - x ** S(2) * (S(2) * d - S(2) * f)) / (sqrt(d) * e)) / (S(4) * sqrt(d) * e * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (S(3) * e + S(2) * f * x ** S(2)) / ( S(4) * d * f * x ** S(6) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, atan(S(2) * sqrt(d) * sqrt(f) * x ** S(3) / (e + S(2) * f * x ** S(2))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (S(3) * e + S(2) * f * x ** S(2)) / ( -S(4) * d * f * x ** S(6) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, atanh(S(2) * sqrt(d) * sqrt(f) * x ** S(3) / (e + S(2) * f * x ** S(2))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** m * (e * (m + S(1)) + S(2) * f * x ** S(2) * (m + S(-1))) / ( S(4) * d * f * x ** (S(2) * m + S(2)) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, atan(S(2) * sqrt(d) * sqrt(f) * x ** (m + S(1)) / (e + S(2) * f * x ** S(2))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( x ** m * (e * (m + S(1)) + S(2) * f * x ** S(2) * (m + S(-1))) / ( S(4) * d * f * x ** (S(2) * m + S(2)) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, atan( S(2) * sqrt(d) * sqrt(f) * x ** (m + S(1)) * (-(m ** S(2)) + S(1)) / ((e + S(2) * f * x ** S(2)) * (-m + S(1)) * (m + S(1))) ) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** m * (e * (m + S(1)) + S(2) * f * x ** S(2) * (m + S(-1))) / ( -S(4) * d * f * x ** (S(2) * m + S(2)) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, atanh(S(2) * sqrt(d) * sqrt(f) * x ** (m + S(1)) / (e + S(2) * f * x ** S(2))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( x ** m * (e * (m + S(1)) + S(2) * f * x ** S(2) * (m + S(-1))) / ( -S(4) * d * f * x ** (S(2) * m + S(2)) + e ** S(2) + S(4) * e * f * x ** S(2) + S(4) * f ** S(2) * x ** S(4) ), x, ), x, atanh( S(2) * sqrt(d) * sqrt(f) * x ** (m + S(1)) * (-(m ** S(2)) + S(1)) / ((e + S(2) * f * x ** S(2)) * (-m + S(1)) * (m + S(1))) ) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (S(2) * e - S(2) * f * x ** S(3)) / ( S(4) * d * f * x ** S(4) + e ** S(2) + S(4) * e * f * x ** S(3) + S(4) * f ** S(2) * x ** S(6) ), x, ), x, atan(S(2) * sqrt(d) * sqrt(f) * x ** S(2) / (e + S(2) * f * x ** S(3))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (S(2) * e - S(2) * f * x ** S(3)) / ( -S(4) * d * f * x ** S(4) + e ** S(2) + S(4) * e * f * x ** S(3) + S(4) * f ** S(2) * x ** S(6) ), x, ), x, atanh(S(2) * sqrt(d) * sqrt(f) * x ** S(2) / (e + S(2) * f * x ** S(3))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / ( S(4) * d * f * x ** S(6) + e ** S(2) + S(4) * e * f * x ** S(3) + S(4) * f ** S(2) * x ** S(6) ), x, ), x, atan(sqrt(f) * (e + x ** S(3) * (S(2) * d + S(2) * f)) / (sqrt(d) * e)) / (S(6) * sqrt(d) * e * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / ( -S(4) * d * f * x ** S(6) + e ** S(2) + S(4) * e * f * x ** S(3) + S(4) * f ** S(2) * x ** S(6) ), x, ), x, -atanh(sqrt(f) * (e - x ** S(3) * (S(2) * d - S(2) * f)) / (sqrt(d) * e)) / (S(6) * sqrt(d) * e * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** m * (e * (m + S(1)) + S(2) * f * x ** S(3) * (m + S(-2))) / ( S(4) * d * f * x ** (S(2) * m + S(2)) + e ** S(2) + S(4) * e * f * x ** S(3) + S(4) * f ** S(2) * x ** S(6) ), x, ), x, atan(S(2) * sqrt(d) * sqrt(f) * x ** (m + S(1)) / (e + S(2) * f * x ** S(3))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** m * (e * (m + S(1)) + S(2) * f * x ** S(3) * (m + S(-2))) / ( -S(4) * d * f * x ** (S(2) * m + S(2)) + e ** S(2) + S(4) * e * f * x ** S(3) + S(4) * f ** S(2) * x ** S(6) ), x, ), x, atanh(S(2) * sqrt(d) * sqrt(f) * x ** (m + S(1)) / (e + S(2) * f * x ** S(3))) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** m * (e * (m + S(1)) + S(2) * f * x ** n * (m - n + S(1))) / ( S(4) * d * f * x ** (S(2) * m + S(2)) + e ** S(2) + S(4) * e * f * x ** n + S(4) * f ** S(2) * x ** (S(2) * n) ), x, ), x, atan(S(2) * sqrt(d) * sqrt(f) * x ** (m + S(1)) / (e + S(2) * f * x ** n)) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** m * (e * (m + S(1)) + S(2) * f * x ** n * (m - n + S(1))) / ( -S(4) * d * f * x ** (S(2) * m + S(2)) + e ** S(2) + S(4) * e * f * x ** n + S(4) * f ** S(2) * x ** (S(2) * n) ), x, ), x, atanh(S(2) * sqrt(d) * sqrt(f) * x ** (m + S(1)) / (e + S(2) * f * x ** n)) / (S(2) * sqrt(d) * sqrt(f)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(5) / (a * c + b * c * x ** S(2) + d * sqrt(a + b * x ** S(2))), x ), x, -(x ** S(2)) * (S(2) * a * c ** S(2) - d ** S(2)) / (S(2) * b ** S(2) * c ** S(3)) + (a + b * x ** S(2)) ** S(2) / (S(4) * b ** S(3) * c) - d * (a + b * x ** S(2)) ** (S(3) / 2) / (S(3) * b ** S(3) * c ** S(2)) + d * sqrt(a + b * x ** S(2)) * (S(2) * a * c ** S(2) - d ** S(2)) / (b ** S(3) * c ** S(4)) + (a * c ** S(2) - d ** S(2)) ** S(2) * log(c * sqrt(a + b * x ** S(2)) + d) / (b ** S(3) * c ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) / (a * c + b * c * x ** S(2) + d * sqrt(a + b * x ** S(2))), x ), x, x ** S(2) / (S(2) * b * c) - d * sqrt(a + b * x ** S(2)) / (b ** S(2) * c ** S(2)) - (a * c ** S(2) - d ** S(2)) * log(c * sqrt(a + b * x ** S(2)) + d) / (b ** S(2) * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / (a * c + b * c * x ** S(2) + d * sqrt(a + b * x ** S(2))), x ), x, log(c * sqrt(a + b * x ** S(2)) + d) / (b * c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x * (a * c + b * c * x ** S(2) + d * sqrt(a + b * x ** S(2)))), x ), x, c * log(x) / (a * c ** S(2) - d ** S(2)) - c * log(c * sqrt(a + b * x ** S(2)) + d) / (a * c ** S(2) - d ** S(2)) + d * atanh(sqrt(a + b * x ** S(2)) / sqrt(a)) / (sqrt(a) * (a * c ** S(2) - d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(3) * (a * c + b * c * x ** S(2) + d * sqrt(a + b * x ** S(2)))), x, ), x, -b * c ** S(3) * log(x) / (a * c ** S(2) - d ** S(2)) ** S(2) + b * c ** S(3) * log(c * sqrt(a + b * x ** S(2)) + d) / (a * c ** S(2) - d ** S(2)) ** S(2) - (a * c - d * sqrt(a + b * x ** S(2))) / (S(2) * a * x ** S(2) * (a * c ** S(2) - d ** S(2))) - b * d * (S(3) * a * c ** S(2) - d ** S(2)) * atanh(sqrt(a + b * x ** S(2)) / sqrt(a)) / (S(2) * a ** (S(3) / 2) * (a * c ** S(2) - d ** S(2)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / (a * c + b * c * x ** S(2) + d * sqrt(a + b * x ** S(2))), x ), x, x / (b * c) - d * atanh(sqrt(b) * x / sqrt(a + b * x ** S(2))) / (b ** (S(3) / 2) * c ** S(2)) - sqrt(a * c ** S(2) - d ** S(2)) * atan(sqrt(b) * c * x / sqrt(a * c ** S(2) - d ** S(2))) / (b ** (S(3) / 2) * c ** S(2)) + sqrt(a * c ** S(2) - d ** S(2)) * atan( sqrt(b) * d * x / (sqrt(a + b * x ** S(2)) * sqrt(a * c ** S(2) - d ** S(2))) ) / (b ** (S(3) / 2) * c ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (a * c + b * c * x ** S(2) + d * sqrt(a + b * x ** S(2))), x ), x, atan(sqrt(b) * c * x / sqrt(a * c ** S(2) - d ** S(2))) / (sqrt(b) * sqrt(a * c ** S(2) - d ** S(2))) - atan( sqrt(b) * d * x / (sqrt(a + b * x ** S(2)) * sqrt(a * c ** S(2) - d ** S(2))) ) / (sqrt(b) * sqrt(a * c ** S(2) - d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(2) * (a * c + b * c * x ** S(2) + d * sqrt(a + b * x ** S(2)))), x, ), x, -sqrt(b) * c ** S(2) * atan(sqrt(b) * c * x / sqrt(a * c ** S(2) - d ** S(2))) / (a * c ** S(2) - d ** S(2)) ** (S(3) / 2) + sqrt(b) * c ** S(2) * atan( sqrt(b) * d * x / (sqrt(a + b * x ** S(2)) * sqrt(a * c ** S(2) - d ** S(2))) ) / (a * c ** S(2) - d ** S(2)) ** (S(3) / 2) - c / (x * (a * c ** S(2) - d ** S(2))) + d * sqrt(a + b * x ** S(2)) / (a * x * (a * c ** S(2) - d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(8) / (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3))), x ), x, -(x ** S(3)) * (S(2) * a * c ** S(2) - d ** S(2)) / (S(3) * b ** S(2) * c ** S(3)) + (a + b * x ** S(3)) ** S(2) / (S(6) * b ** S(3) * c) - S(2) * d * (a + b * x ** S(3)) ** (S(3) / 2) / (S(9) * b ** S(3) * c ** S(2)) + S(2) * d * sqrt(a + b * x ** S(3)) * (S(2) * a * c ** S(2) - d ** S(2)) / (S(3) * b ** S(3) * c ** S(4)) + S(2) * (a * c ** S(2) - d ** S(2)) ** S(2) * log(c * sqrt(a + b * x ** S(3)) + d) / (S(3) * b ** S(3) * c ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(5) / (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3))), x ), x, x ** S(3) / (S(3) * b * c) - S(2) * d * sqrt(a + b * x ** S(3)) / (S(3) * b ** S(2) * c ** S(2)) - (S(2) * a * c ** S(2) - S(2) * d ** S(2)) * log(c * sqrt(a + b * x ** S(3)) + d) / (S(3) * b ** S(2) * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3))), x ), x, S(2) * log(c * sqrt(a + b * x ** S(3)) + d) / (S(3) * b * c), expand=True, _diff=True, _numerical=True, ) # taking a long time assert rubi_test(rubi_integrate(S(1)/(x*(a*c + b*c*x**S(3) + d*sqrt(a + b*x**S(3)))), x), x, -S(2)*c*log(c*sqrt(a + b*x**S(3)) + d)/(S(3)*a*c**S(2) - S(3)*d**S(2)) + c*log(x)/(a*c**S(2) - d**S(2)) + S(2)*d*atanh(sqrt(a + b*x**S(3))/sqrt(a))/(S(3)*sqrt(a)*(a*c**S(2) - d**S(2))), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate( S(1) / (x ** S(4) * (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3)))), x, ), x, -b * c ** S(3) * log(x) / (a * c ** S(2) - d ** S(2)) ** S(2) + S(2) * b * c ** S(3) * log(c * sqrt(a + b * x ** S(3)) + d) / (S(3) * (a * c ** S(2) - d ** S(2)) ** S(2)) - (a * c - d * sqrt(a + b * x ** S(3))) / (S(3) * a * x ** S(3) * (a * c ** S(2) - d ** S(2))) - b * d * (S(3) * a * c ** S(2) - d ** S(2)) * atanh(sqrt(a + b * x ** S(3)) / sqrt(a)) / (S(3) * a ** (S(3) / 2) * (a * c ** S(2) - d ** S(2)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) / (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3))), x ), x, -d * x ** S(4) * sqrt(S(1) + b * x ** S(3) / a) * AppellF1( S(4) / 3, S(1) / 2, S(1), S(7) / 3, -b * x ** S(3) / a, -b * c ** S(2) * x ** S(3) / (a * c ** S(2) - d ** S(2)), ) / (sqrt(a + b * x ** S(3)) * (S(4) * a * c ** S(2) - S(4) * d ** S(2))) + x / (b * c) - (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) * log( b ** (S(1) / 3) * c ** (S(2) / 3) * x + (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) ) / (S(3) * b ** (S(4) / 3) * c ** (S(5) / 3)) + (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) * log( b ** (S(2) / 3) * c ** (S(4) / 3) * x ** S(2) - b ** (S(1) / 3) * c ** (S(2) / 3) * x * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + (a * c ** S(2) - d ** S(2)) ** (S(2) / 3) ) / (S(6) * b ** (S(4) / 3) * c ** (S(5) / 3)) + sqrt(S(3)) * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) * atan( sqrt(S(3)) * ( -S(2) * b ** (S(1) / 3) * c ** (S(2) / 3) * x / (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + S(1) ) / S(3) ) / (S(3) * b ** (S(4) / 3) * c ** (S(5) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3))), x ), x, -d * x ** S(2) * sqrt(S(1) + b * x ** S(3) / a) * AppellF1( S(2) / 3, S(1) / 2, S(1), S(5) / 3, -b * x ** S(3) / a, -b * c ** S(2) * x ** S(3) / (a * c ** S(2) - d ** S(2)), ) / (sqrt(a + b * x ** S(3)) * (S(2) * a * c ** S(2) - S(2) * d ** S(2))) - log( b ** (S(1) / 3) * c ** (S(2) / 3) * x + (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) ) / ( S(3) * b ** (S(2) / 3) * c ** (S(1) / 3) * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) ) + log( b ** (S(2) / 3) * c ** (S(4) / 3) * x ** S(2) - b ** (S(1) / 3) * c ** (S(2) / 3) * x * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + (a * c ** S(2) - d ** S(2)) ** (S(2) / 3) ) / ( S(6) * b ** (S(2) / 3) * c ** (S(1) / 3) * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) ) - sqrt(S(3)) * atan( sqrt(S(3)) * ( -S(2) * b ** (S(1) / 3) * c ** (S(2) / 3) * x / (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + S(1) ) / S(3) ) / ( S(3) * b ** (S(2) / 3) * c ** (S(1) / 3) * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3))), x ), x, -d * x * sqrt(S(1) + b * x ** S(3) / a) * AppellF1( S(1) / 3, S(1) / 2, S(1), S(4) / 3, -b * x ** S(3) / a, -b * c ** S(2) * x ** S(3) / (a * c ** S(2) - d ** S(2)), ) / (sqrt(a + b * x ** S(3)) * (a * c ** S(2) - d ** S(2))) + c ** (S(1) / 3) * log( b ** (S(1) / 3) * c ** (S(2) / 3) * x + (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) ) / (S(3) * b ** (S(1) / 3) * (a * c ** S(2) - d ** S(2)) ** (S(2) / 3)) - c ** (S(1) / 3) * log( b ** (S(2) / 3) * c ** (S(4) / 3) * x ** S(2) - b ** (S(1) / 3) * c ** (S(2) / 3) * x * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + (a * c ** S(2) - d ** S(2)) ** (S(2) / 3) ) / (S(6) * b ** (S(1) / 3) * (a * c ** S(2) - d ** S(2)) ** (S(2) / 3)) - sqrt(S(3)) * c ** (S(1) / 3) * atan( sqrt(S(3)) * ( -S(2) * b ** (S(1) / 3) * c ** (S(2) / 3) * x / (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + S(1) ) / S(3) ) / (S(3) * b ** (S(1) / 3) * (a * c ** S(2) - d ** S(2)) ** (S(2) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(2) * (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3)))), x, ), x, b ** (S(1) / 3) * c ** (S(5) / 3) * log( b ** (S(1) / 3) * c ** (S(2) / 3) * x + (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) ) / (S(3) * (a * c ** S(2) - d ** S(2)) ** (S(4) / 3)) - b ** (S(1) / 3) * c ** (S(5) / 3) * log( b ** (S(2) / 3) * c ** (S(4) / 3) * x ** S(2) - b ** (S(1) / 3) * c ** (S(2) / 3) * x * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + (a * c ** S(2) - d ** S(2)) ** (S(2) / 3) ) / (S(6) * (a * c ** S(2) - d ** S(2)) ** (S(4) / 3)) + sqrt(S(3)) * b ** (S(1) / 3) * c ** (S(5) / 3) * atan( sqrt(S(3)) * ( -S(2) * b ** (S(1) / 3) * c ** (S(2) / 3) * x / (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + S(1) ) / S(3) ) / (S(3) * (a * c ** S(2) - d ** S(2)) ** (S(4) / 3)) - c / (x * (a * c ** S(2) - d ** S(2))) + d * sqrt(S(1) + b * x ** S(3) / a) * AppellF1( S(-1) / 3, S(1) / 2, S(1), S(2) / 3, -b * x ** S(3) / a, -b * c ** S(2) * x ** S(3) / (a * c ** S(2) - d ** S(2)), ) / (x * sqrt(a + b * x ** S(3)) * (a * c ** S(2) - d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x ** S(3) * (a * c + b * c * x ** S(3) + d * sqrt(a + b * x ** S(3)))), x, ), x, -(b ** (S(2) / 3)) * c ** (S(7) / 3) * log( b ** (S(1) / 3) * c ** (S(2) / 3) * x + (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) ) / (S(3) * (a * c ** S(2) - d ** S(2)) ** (S(5) / 3)) + b ** (S(2) / 3) * c ** (S(7) / 3) * log( b ** (S(2) / 3) * c ** (S(4) / 3) * x ** S(2) - b ** (S(1) / 3) * c ** (S(2) / 3) * x * (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + (a * c ** S(2) - d ** S(2)) ** (S(2) / 3) ) / (S(6) * (a * c ** S(2) - d ** S(2)) ** (S(5) / 3)) + sqrt(S(3)) * b ** (S(2) / 3) * c ** (S(7) / 3) * atan( sqrt(S(3)) * ( -S(2) * b ** (S(1) / 3) * c ** (S(2) / 3) * x / (a * c ** S(2) - d ** S(2)) ** (S(1) / 3) + S(1) ) / S(3) ) / (S(3) * (a * c ** S(2) - d ** S(2)) ** (S(5) / 3)) - c / (x ** S(2) * (S(2) * a * c ** S(2) - S(2) * d ** S(2))) + d * sqrt(S(1) + b * x ** S(3) / a) * AppellF1( S(-2) / 3, S(1) / 2, S(1), S(1) / 3, -b * x ** S(3) / a, -b * c ** S(2) * x ** S(3) / (a * c ** S(2) - d ** S(2)), ) / ( x ** S(2) * sqrt(a + b * x ** S(3)) * (S(2) * a * c ** S(2) - S(2) * d ** S(2)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a * c + b * c * x ** n + d * sqrt(a + b * x ** n)), x), x, c * x * hyper( (S(1), S(1) / n), (S(1) + S(1) / n,), -b * c ** S(2) * x ** n / (a * c ** S(2) - d ** S(2)), ) / (a * c ** S(2) - d ** S(2)) - d * x * sqrt(S(1) + b * x ** n / a) * AppellF1( S(1) / n, S(1) / 2, S(1), S(1) + S(1) / n, -b * x ** n / a, -b * c ** S(2) * x ** n / (a * c ** S(2) - d ** S(2)), ) / (sqrt(a + b * x ** n) * (a * c ** S(2) - d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m / (a * c + b * c * x ** n + d * sqrt(a + b * x ** n)), x), x, c * x ** (m + S(1)) * hyper( (S(1), (m + S(1)) / n), ((m + n + S(1)) / n,), -b * c ** S(2) * x ** n / (a * c ** S(2) - d ** S(2)), ) / ((m + S(1)) * (a * c ** S(2) - d ** S(2))) - d * x ** (m + S(1)) * sqrt(S(1) + b * x ** n / a) * AppellF1( (m + S(1)) / n, S(1) / 2, S(1), (m + n + S(1)) / n, -b * x ** n / a, -b * c ** S(2) * x ** n / (a * c ** S(2) - d ** S(2)), ) / (sqrt(a + b * x ** n) * (m + S(1)) * (a * c ** S(2) - d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** (n + S(-1)) / (a * c + b * c * x ** n + d * sqrt(a + b * x ** n)), x ), x, S(2) * log(c * sqrt(a + b * x ** n) + d) / (b * c * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(4) * x ** (S(3) / 2) + sqrt(x)), x), x, atan(S(2) * sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (-(x ** (S(5) / 2)) + sqrt(x)), x), x, atan(sqrt(x)) + atanh(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (-(x ** (S(1) / 4)) + sqrt(x)), x), x, S(4) * x ** (S(1) / 4) + S(2) * sqrt(x) + S(4) * log(-(x ** (S(1) / 4)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** (S(1) / 3) + sqrt(x)), x), x, S(6) * x ** (S(1) / 6) - S(3) * x ** (S(1) / 3) + S(2) * sqrt(x) - S(6) * log(x ** (S(1) / 6) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** (S(1) / 4) + sqrt(x)), x), x, -S(4) * x ** (S(1) / 4) + S(2) * sqrt(x) + S(4) * log(x ** (S(1) / 4) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** (S(2) / 3) - x ** (S(1) / 3)), x), x, S(3) * x ** (S(1) / 3) + S(3) * log(-(x ** (S(1) / 3)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x) + x ** (S(-1) / 4)), x), x, S(2) * sqrt(x) + S(4) * log(x ** (S(1) / 4) + S(1)) / S(3) - S(2) * log(-(x ** (S(1) / 4)) + sqrt(x) + S(1)) / S(3) + S(4) * sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x ** (S(1) / 4) + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** (S(1) / 4) + x ** (S(1) / 3)), x), x, -S(12) * x ** (S(7) / 12) / S(7) - S(12) * x ** (S(5) / 12) / S(5) - S(12) * x ** (S(1) / 12) + S(6) * x ** (S(1) / 6) - S(4) * x ** (S(1) / 4) + S(3) * x ** (S(2) / 3) / S(2) + S(3) * x ** (S(1) / 3) + S(2) * sqrt(x) + S(12) * log(x ** (S(1) / 12) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** (S(-1) / 3) + x ** (S(-1) / 4)), x), x, S(12) * x ** (S(13) / 12) / S(13) + S(12) * x ** (S(11) / 12) / S(11) + S(12) * x ** (S(7) / 12) / S(7) + S(12) * x ** (S(5) / 12) / S(5) + S(12) * x ** (S(1) / 12) - S(6) * x ** (S(7) / 6) / S(7) - S(6) * x ** (S(5) / 6) / S(5) - S(6) * x ** (S(1) / 6) + S(4) * x ** (S(5) / 4) / S(5) + S(4) * x ** (S(3) / 4) / S(3) + S(4) * x ** (S(1) / 4) - S(3) * x ** (S(2) / 3) / S(2) - S(3) * x ** (S(1) / 3) - S(2) * sqrt(x) - x - S(12) * log(x ** (S(1) / 12) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x) - S(1) / x ** (S(1) / 3)), x), x, S(2) * sqrt(x) + S(6) * log(-(x ** (S(1) / 6)) + S(1)) / S(5) - (-S(3) * sqrt(S(5)) / S(10) + S(3) / 10) * log( x ** (S(1) / 6) + sqrt(S(5)) * x ** (S(1) / 6) + S(2) * x ** (S(1) / 3) + S(2) ) - (S(3) / 10 + S(3) * sqrt(S(5)) / S(10)) * log( -sqrt(S(5)) * x ** (S(1) / 6) + x ** (S(1) / 6) + S(2) * x ** (S(1) / 3) + S(2) ) - S(3) * sqrt(S(2) * sqrt(S(5)) + S(10)) * atan( sqrt(sqrt(S(5)) / S(10) + S(1) / 2) * (S(4) * x ** (S(1) / 6) + S(1) + sqrt(S(5))) / S(2) ) / S(5) + S(3) * sqrt(-S(2) * sqrt(S(5)) + S(10)) * atan( (S(4) * x ** (S(1) / 6) - sqrt(S(5)) + S(1)) / sqrt(S(2) * sqrt(S(5)) + S(10)) ) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / (x ** S(2) + x), x), x, S(2) * atan(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (S(4) * sqrt(x) + x), x), x, -S(8) * sqrt(x) + x + S(32) * log(sqrt(x) + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / (x ** (S(1) / 3) + x), x), x, S(2) * sqrt(x) - S(3) * sqrt(S(2)) * log(-sqrt(S(2)) * x ** (S(1) / 6) + x ** (S(1) / 3) + S(1)) / S(4) + S(3) * sqrt(S(2)) * log(sqrt(S(2)) * x ** (S(1) / 6) + x ** (S(1) / 3) + S(1)) / S(4) - S(3) * sqrt(S(2)) * atan(sqrt(S(2)) * x ** (S(1) / 6) + S(-1)) / S(2) - S(3) * sqrt(S(2)) * atan(sqrt(S(2)) * x ** (S(1) / 6) + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** (S(1) / 3) / (x ** (S(1) / 4) + sqrt(x)), x), x, -S(12) * x ** (S(7) / 12) / S(7) - S(12) * x ** (S(1) / 12) + S(6) * x ** (S(5) / 6) / S(5) + S(3) * x ** (S(1) / 3) + S(6) * log(x ** (S(1) / 12) + S(1)) - S(2) * log(x ** (S(1) / 4) + S(1)) - S(4) * sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x ** (S(1) / 12) + S(1)) / S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / (x ** (S(1) / 4) + x ** (S(1) / 3)), x), x, -S(12) * x ** (S(13) / 12) / S(13) - S(12) * x ** (S(11) / 12) / S(11) - S(12) * x ** (S(7) / 12) / S(7) - S(12) * x ** (S(5) / 12) / S(5) - S(12) * x ** (S(1) / 12) + S(6) * x ** (S(7) / 6) / S(7) + S(6) * x ** (S(5) / 6) / S(5) + S(6) * x ** (S(1) / 6) - S(4) * x ** (S(3) / 4) / S(3) - S(4) * x ** (S(1) / 4) + S(3) * x ** (S(2) / 3) / S(2) + S(3) * x ** (S(1) / 3) + S(2) * sqrt(x) + x + S(12) * log(x ** (S(1) / 12) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / (sqrt(x) - S(1) / x ** (S(1) / 3)), x), x, S(6) * x ** (S(1) / 6) + x + S(6) * log(-(x ** (S(1) / 6)) + S(1)) / S(5) - (S(3) / 10 + S(3) * sqrt(S(5)) / S(10)) * log( x ** (S(1) / 6) + sqrt(S(5)) * x ** (S(1) / 6) + S(2) * x ** (S(1) / 3) + S(2) ) - (-S(3) * sqrt(S(5)) / S(10) + S(3) / 10) * log( -sqrt(S(5)) * x ** (S(1) / 6) + x ** (S(1) / 6) + S(2) * x ** (S(1) / 3) + S(2) ) - S(3) * sqrt(-S(2) * sqrt(S(5)) + S(10)) * atan( sqrt(sqrt(S(5)) / S(10) + S(1) / 2) * (S(4) * x ** (S(1) / 6) + S(1) + sqrt(S(5))) / S(2) ) / S(5) - S(3) * sqrt(S(2) * sqrt(S(5)) + S(10)) * atan( (S(4) * x ** (S(1) / 6) - sqrt(S(5)) + S(1)) / sqrt(S(2) * sqrt(S(5)) + S(10)) ) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(b * x ** S(2) + sqrt(a + b ** S(2) * x ** S(4))) / sqrt(a + b ** S(2) * x ** S(4)), x, ), x, sqrt(S(2)) * atanh( sqrt(S(2)) * sqrt(b) * x / sqrt(b * x ** S(2) + sqrt(a + b ** S(2) * x ** S(4))) ) / (S(2) * sqrt(b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(-b * x ** S(2) + sqrt(a + b ** S(2) * x ** S(4))) / sqrt(a + b ** S(2) * x ** S(4)), x, ), x, sqrt(S(2)) * atan( sqrt(S(2)) * sqrt(b) * x / sqrt(-b * x ** S(2) + sqrt(a + b ** S(2) * x ** S(4))) ) / (S(2) * sqrt(b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(S(2) * x ** S(2) + sqrt(S(4) * x ** S(4) + S(3))) / ((c + d * x) * sqrt(S(4) * x ** S(4) + S(3))), x, ), x, -(S(1) / 2 + I / S(2)) * atanh( (-S(2) * I * c * x + sqrt(S(3)) * d) / ( sqrt(S(2) * I * c ** S(2) + sqrt(S(3)) * d ** S(2)) * sqrt(S(2) * I * x ** S(2) + sqrt(S(3))) ) ) / sqrt(S(2) * I * c ** S(2) + sqrt(S(3)) * d ** S(2)) + (S(1) / 2 - I / S(2)) * atan( (S(2) * I * c * x + sqrt(S(3)) * d) / ( sqrt(S(2) * I * c ** S(2) - sqrt(S(3)) * d ** S(2)) * sqrt(-S(2) * I * x ** S(2) + sqrt(S(3))) ) ) / sqrt(S(2) * I * c ** S(2) - sqrt(S(3)) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(S(2) * x ** S(2) + sqrt(S(4) * x ** S(4) + S(3))) / ((c + d * x) ** S(2) * sqrt(S(4) * x ** S(4) + S(3))), x, ), x, c * (S(1) - I) * atanh( (-S(2) * I * c * x + sqrt(S(3)) * d) / ( sqrt(S(2) * I * c ** S(2) + sqrt(S(3)) * d ** S(2)) * sqrt(S(2) * I * x ** S(2) + sqrt(S(3))) ) ) / (S(2) * I * c ** S(2) + sqrt(S(3)) * d ** S(2)) ** (S(3) / 2) + c * (S(1) + I) * atan( (S(2) * I * c * x + sqrt(S(3)) * d) / ( sqrt(S(2) * I * c ** S(2) - sqrt(S(3)) * d ** S(2)) * sqrt(-S(2) * I * x ** S(2) + sqrt(S(3))) ) ) / (S(2) * I * c ** S(2) - sqrt(S(3)) * d ** S(2)) ** (S(3) / 2) - d * (S(1) / 2 + I / S(2)) * sqrt(S(2) * I * x ** S(2) + sqrt(S(3))) / ((c + d * x) * (S(2) * I * c ** S(2) + sqrt(S(3)) * d ** S(2))) + d * (S(1) / 2 - I / S(2)) * sqrt(-S(2) * I * x ** S(2) + sqrt(S(3))) / ((c + d * x) * (S(2) * I * c ** S(2) - sqrt(S(3)) * d ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(-4)) / (sqrt(x) * (x ** (S(1) / 3) + S(1))), x), x, S(6) * x ** (S(7) / 6) / S(7) - S(6) * x ** (S(5) / 6) / S(5) - S(30) * x ** (S(1) / 6) + S(2) * sqrt(x) + S(30) * atan(x ** (S(1) / 6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(x) + S(1)) / (x ** (S(7) / 6) + x ** (S(5) / 6)), x), x, S(3) * x ** (S(1) / 3) - S(3) * log(x ** (S(1) / 3) + S(1)) + S(6) * atan(x ** (S(1) / 6)), expand=True, _diff=True, _numerical=True, ) # difference in simplify assert rubi_test(rubi_integrate((sqrt(x) + S(1))/(sqrt(x)*(x**(S(1)/3) + S(1))), x), x, S(6)*x**(S(1)/6) + S(3)*x**(S(2)/3)/S(2) - S(3)*x**(S(1)/3) + S(3)*log(x**(S(1)/3) + S(1)) - S(6)*atan(x**(S(1)/6)), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate(sqrt(b / x ** S(2) + S(2)) / (b + S(2) * x ** S(2)), x), x, -acsch(sqrt(S(2)) * x / sqrt(b)) / sqrt(b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-b / x ** S(2) + S(2)) / (-b + S(2) * x ** S(2)), x), x, -acsc(sqrt(S(2)) * x / sqrt(b)) / sqrt(b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + c / x ** S(2)) / (d + e * x), x), x, sqrt(a) * atanh(sqrt(a + c / x ** S(2)) / sqrt(a)) / e - sqrt(c) * atanh(sqrt(c) / (x * sqrt(a + c / x ** S(2)))) / d - sqrt(a * d ** S(2) + c * e ** S(2)) * atanh( (a * d - c * e / x) / (sqrt(a + c / x ** S(2)) * sqrt(a * d ** S(2) + c * e ** S(2))) ) / (d * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b / x + c / x ** S(2)) / (d + e * x), x), x, sqrt(a) * atanh((S(2) * a + b / x) / (S(2) * sqrt(a) * sqrt(a + b / x + c / x ** S(2)))) / e - sqrt(c) * atanh((b + S(2) * c / x) / (S(2) * sqrt(c) * sqrt(a + b / x + c / x ** S(2)))) / d - sqrt(a * d ** S(2) - e * (b * d - c * e)) * atanh( (S(2) * a * d - b * e + (b * d - S(2) * c * e) / x) / ( S(2) * sqrt(a * d ** S(2) - e * (b * d - c * e)) * sqrt(a + b / x + c / x ** S(2)) ) ) / (d * e), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** (S(1) / 6) + (x ** S(3)) ** (S(1) / 5)) / sqrt(x), x), x, S(3) * x ** (S(2) / 3) / S(2) + S(10) * sqrt(x) * (x ** S(3)) ** (S(1) / 5) / S(11), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(2)) / sqrt(-(x ** S(2)) + S(4) * x), x), x, -sqrt(-(x ** S(2)) + S(4) * x) + S(4) * asin(x / S(2) + S(-1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(3)) / (x ** S(2) + S(6) * x) ** (S(1) / 3), x), x, S(3) * (x ** S(2) + S(6) * x) ** (S(2) / 3) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(4)) / (-(x ** S(2)) + S(6) * x) ** (S(3) / 2), x), x, -(-S(7) * x + S(12)) / (S(9) * sqrt(-(x ** S(2)) + S(6) * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(1)) * sqrt(x ** S(2) + S(2) * x)), x), x, atan(sqrt(x ** S(2) + S(2) * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((S(2) * x + S(1)) * sqrt(x ** S(2) + x)), x), x, atan(S(2) * sqrt(x ** S(2) + x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(-1)) / sqrt(-(x ** S(2)) + S(2) * x), x), x, -sqrt(-(x ** S(2)) + S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(2)) + x) / (x + S(1)), x), x, sqrt(-(x ** S(2)) + x) + S(3) * asin(S(2) * x + S(-1)) / S(2) + sqrt(S(2)) * atan(sqrt(S(2)) * (-S(3) * x + S(1)) / (S(4) * sqrt(-(x ** S(2)) + x))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** (S(1) / 4) + x), x), x, x ** (S(1) / 4) * sqrt(x ** (S(1) / 4) + x) / S(3) + S(2) * x * sqrt(x ** (S(1) / 4) + x) / S(3) - atanh(sqrt(x) / sqrt(x ** (S(1) / 4) + x)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** (S(3) / 2) + x), x), x, -S(16) * (x ** (S(3) / 2) + x) ** (S(3) / 2) / (S(35) * x) + S(4) * (x ** (S(3) / 2) + x) ** (S(3) / 2) / (S(7) * sqrt(x)) + S(32) * (x ** (S(3) / 2) + x) ** (S(3) / 2) / (S(105) * x ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(x ** (S(3) / 2) + x), x), x, S(4) * sqrt(x) * (x ** (S(3) / 2) + x) ** (S(3) / 2) / S(11) - S(32) * (x ** (S(3) / 2) + x) ** (S(3) / 2) / S(99) - S(256) * (x ** (S(3) / 2) + x) ** (S(3) / 2) / (S(1155) * x) + S(64) * (x ** (S(3) / 2) + x) ** (S(3) / 2) / (S(231) * sqrt(x)) + S(512) * (x ** (S(3) / 2) + x) ** (S(3) / 2) / (S(3465) * x ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-(x ** S(2)) + S(1)) * sqrt(S(1) / (-(x ** S(2)) + S(2))), x), x, x / (S(2) * sqrt(S(1) / (-(x ** S(2)) + S(2)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(4)) + x ** S(3) + x ** S(2)), x), x, -(-S(2) * x + S(1)) * sqrt(-(x ** S(4)) + x ** S(3) + x ** S(2)) / (S(8) * x) - (-(x ** S(2)) + x + S(1)) * sqrt(-(x ** S(4)) + x ** S(3) + x ** S(2)) / (S(3) * x) - S(5) * sqrt(-(x ** S(4)) + x ** S(3) + x ** S(2)) * asin(sqrt(S(5)) * (-S(2) * x + S(1)) / S(5)) / (S(16) * x * sqrt(-(x ** S(2)) + x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((a ** S(2) + x ** S(2)) ** S(3)), x), x, x * (a ** S(2) + x ** S(2)) / (a ** S(2) * sqrt((a ** S(2) + x ** S(2)) ** S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / (sqrt(x) + x + S(1)), x), x, S(2) * sqrt(x) - log(sqrt(x) + x + S(1)) - S(2) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * sqrt(x) + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(x) + x + S(1)), x), x, -S(2) * sqrt(x) + x + S(4) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * sqrt(x) + S(1)) / S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x) * (sqrt(x) + x + S(1)) ** (S(7) / 2)), x), x, (S(8) * sqrt(x) + S(4)) / (S(15) * (sqrt(x) + x + S(1)) ** (S(5) / 2)) + (S(128) * sqrt(x) + S(64)) / (S(135) * (sqrt(x) + x + S(1)) ** (S(3) / 2)) + (S(1024) * sqrt(x) + S(512)) / (S(405) * sqrt(sqrt(x) + x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(-1)) / (sqrt(x ** S(2) + S(1)) + S(1)), x), x, sqrt(x ** S(2) + S(1)) - log(sqrt(x ** S(2) + S(1)) + S(1)) - asinh(x) + sqrt(x ** S(2) + S(1)) / x - S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ((x + S(1)) ** (S(2) / 3) * (x ** S(2) + S(-1)) ** (S(2) / 3)), x ), x, S(3) * (x ** S(2) + S(-1)) ** (S(1) / 3) / (S(2) * (x + S(1)) ** (S(2) / 3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(-(x ** S(2)) + S(1)) / (x + S(1)), x), x, -sqrt(-(x ** S(2)) + S(1)) / S(2) - asin(x) / S(2) - (-(x ** S(2)) + S(1)) ** (S(3) / 2) / (S(2) * x + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(6)) + S(1)) ** (S(2) / 3) + (-(x ** S(6)) + S(1)) ** (S(2) / 3) / x ** S(6), x, ), x, x * (-(x ** S(6)) + S(1)) ** (S(2) / 3) / S(5) - (-(x ** S(6)) + S(1)) ** (S(2) / 3) / (S(5) * x ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** (m + S(-1)) * (S(2) * a * m + b * x ** n * (S(2) * m - n)) / (S(2) * (a + b * x ** n) ** (S(3) / 2)), x, ), x, x ** m / sqrt(a + b * x ** n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-S(2) * x ** S(3) + x) / sqrt(S(3) * x + S(2)), x), x, -S(4) * (S(3) * x + S(2)) ** (S(7) / 2) / S(567) + S(8) * (S(3) * x + S(2)) ** (S(5) / 2) / S(135) - S(10) * (S(3) * x + S(2)) ** (S(3) / 2) / S(81) - S(4) * sqrt(S(3) * x + S(2)) / S(81), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(1)) ** (S(1) / 4) + sqrt(x + S(1))), x), x, -S(4) * (x + S(1)) ** (S(1) / 4) + S(2) * sqrt(x + S(1)) + S(4) * log((x + S(1)) ** (S(1) / 4) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x + S(1)) / sqrt(x ** S(2) + x), x), x, S(2) * sqrt(x ** S(2) + x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(2) * sqrt(x) * (x + S(1))), x), x, atan(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(-(x ** S(2)) + S(6) * x)), x), x, -sqrt(-(x ** S(2)) + S(6) * x) / (S(3) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) * (sqrt(x) + S(1)), x), x, S(2) * x ** (S(3) / 2) / S(3) + x ** S(2) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-sqrt(x) + S(1)) / x ** (S(1) / 3), x), x, -S(6) * x ** (S(7) / 6) / S(7) + S(3) * x ** (S(2) / 3) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / (x ** (S(1) / 3) + S(1)), x), x, S(6) * x ** (S(7) / 6) / S(7) - S(6) * x ** (S(5) / 6) / S(5) - S(6) * x ** (S(1) / 6) + S(2) * sqrt(x) + S(6) * atan(x ** (S(1) / 6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(x) + S(1)) ** (S(1) / 3) / x, x), x, S(6) * (sqrt(x) + S(1)) ** (S(1) / 3) - log(x) / S(2) + S(3) * log(-((sqrt(x) + S(1)) ** (S(1) / 3)) + S(1)) - S(2) * sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * (sqrt(x) + S(1)) ** (S(1) / 3) + S(1)) / S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(-sqrt(x) + S(1), x), x, -S(2) * x ** (S(3) / 2) / S(3) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(-(x ** (S(1) / 4)) + S(1), x), x, -S(4) * x ** (S(5) / 4) / S(5) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-sqrt(x) + S(1)) / (x ** (S(1) / 4) + S(1)), x), x, -S(4) * x ** (S(5) / 4) / S(5) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((a + b * x) * (c + d * x)), x), x, atanh( (a * d + b * c + S(2) * b * d * x) / ( S(2) * sqrt(b) * sqrt(d) * sqrt(a * c + b * d * x ** S(2) + x * (a * d + b * c)) ) ) / (sqrt(b) * sqrt(d)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((a + b * x) * (c - d * x)), x), x, -atan( (-a * d + b * c - S(2) * b * d * x) / ( S(2) * sqrt(b) * sqrt(d) * sqrt(a * c - b * d * x ** S(2) + x * (-a * d + b * c)) ) ) / (sqrt(b) * sqrt(d)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x) * (-(x ** S(2)) + S(1))), x), x, atan(sqrt(x)) + atanh(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / (-(x ** S(3)) + x), x), x, atan(sqrt(x)) + atanh(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / (x ** S(2) + x * (S(1) + sqrt(S(3))) - sqrt(S(3)) + S(2)), x ), x, log(x ** S(2) + x * (S(1) + sqrt(S(3))) - sqrt(S(3)) + S(2)) / S(2) + sqrt(S(13) / 23 + S(8) * sqrt(S(3)) / S(23)) * atanh((S(2) * x + S(1) + sqrt(S(3))) / sqrt(S(-4) + S(6) * sqrt(S(3)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** S(3) + x ** S(2)), x), x, S(2) * (x ** S(3) + x ** S(2)) ** (S(3) / 2) / (S(5) * x ** S(2)) - S(4) * (x ** S(3) + x ** S(2)) ** (S(3) / 2) / (S(15) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / ((x + S(1)) * sqrt(x ** S(2) + S(2) * x)), x), x, atan(sqrt(x ** S(2) + S(2) * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) * sqrt(-sqrt(x) - x + S(1)), x), x, -sqrt(x) * (-sqrt(x) - x + S(1)) ** (S(3) / 2) / S(2) + (S(9) * sqrt(x) / S(16) + S(9) / 32) * sqrt(-sqrt(x) - x + S(1)) + S(5) * (-sqrt(x) - x + S(1)) ** (S(3) / 2) / S(12) + S(45) * asin(sqrt(S(5)) * (S(2) * sqrt(x) + S(1)) / S(5)) / S(64), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(x + S(-3)) + S(1)) ** (S(1) / 3), x), x, S(6) * (sqrt(x + S(-3)) + S(1)) ** (S(7) / 3) / S(7) - S(3) * (sqrt(x + S(-3)) + S(1)) ** (S(4) / 3) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(sqrt(S(2) * x + S(-1)) + S(3)), x), x, S(2) * (sqrt(S(2) * x + S(-1)) + S(3)) ** (S(3) / 2) / S(3) - S(6) * sqrt(sqrt(S(2) * x + S(-1)) + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-x + S(1)) / (sqrt(x) + S(1)), x), x, -sqrt(-x + S(1)) - asin(sqrt(x)) - (-x + S(1)) ** (S(3) / 2) / (sqrt(x) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-x + S(1)) / (-sqrt(x) + S(1)), x), x, -sqrt(-x + S(1)) + asin(sqrt(x)) - (-x + S(1)) ** (S(3) / 2) / (-sqrt(x) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (x - sqrt(x ** S(2) + S(1))), x), x, -(x ** S(3)) / S(3) - (x ** S(2) + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (x - sqrt(-(x ** S(2)) + S(1))), x), x, x / S(2) + sqrt(-(x ** S(2)) + S(1)) / S(2) - sqrt(S(2)) * atanh(sqrt(S(2)) * x) / S(4) - sqrt(S(2)) * atanh(sqrt(S(2)) * sqrt(-(x ** S(2)) + S(1))) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (x - sqrt(S(2) * x ** S(2) + S(1))), x), x, -x - sqrt(S(2) * x ** S(2) + S(1)) + atan(x) + atan(sqrt(S(2) * x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) * sqrt(sqrt(x) + x), x), x, sqrt(x) * (sqrt(x) + x) ** (S(3) / 2) / S(2) + (S(5) * sqrt(x) / S(16) + S(5) / 32) * sqrt(sqrt(x) + x) - S(5) * (sqrt(x) + x) ** (S(3) / 2) / S(12) - S(5) * atanh(sqrt(x) / sqrt(sqrt(x) + x)) / S(32), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** (S(1) / 3) + S(1)) / (sqrt(x) + S(1)), x), x, S(6) * x ** (S(5) / 6) / S(5) - S(3) * x ** (S(1) / 3) + S(2) * sqrt(x) - S(4) * log(x ** (S(1) / 6) + S(1)) - log(-(x ** (S(1) / 6)) + x ** (S(1) / 3) + S(1)) - S(2) * sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x ** (S(1) / 6) + S(1)) / S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** (S(1) / 3) + S(1)) / (x ** (S(1) / 4) + S(1)), x), x, S(12) * x ** (S(13) / 12) / S(13) + S(12) * x ** (S(7) / 12) / S(7) + S(12) * x ** (S(1) / 12) - S(6) * x ** (S(5) / 6) / S(5) + S(4) * x ** (S(3) / 4) / S(3) + S(4) * x ** (S(1) / 4) - S(3) * x ** (S(1) / 3) - S(2) * sqrt(x) - S(8) * log(x ** (S(1) / 12) + S(1)) - S(2) * log(-(x ** (S(1) / 12)) + x ** (S(1) / 6) + S(1)) + S(4) * sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x ** (S(1) / 12) + S(1)) / S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (x ** S(2) + sqrt(-(x ** S(2)) + S(1)) + S(-1)), x), x, x + asin(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((x + S(1)) / x), x), x, x * sqrt(S(1) + S(1) / x) + atanh(sqrt(S(1) + S(1) / x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((-x + S(1)) / x), x), x, x * sqrt(S(-1) + S(1) / x) - atan(sqrt(S(-1) + S(1) / x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((x + S(-1)) / x), x), x, sqrt(x) * sqrt(x + S(-1)) - asinh(sqrt(x + S(-1))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(sqrt((x + S(-1)) / x), x), x, x * sqrt(S(1) - S(1) / x) - atanh(sqrt(S(1) - S(1) / x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((x + S(1)) / x) / x, x), x, -S(2) * sqrt(S(1) + S(1) / x) + S(2) * atanh(sqrt(S(1) + S(1) / x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x / (x + S(1))), x), x, sqrt(x) * sqrt(x + S(1)) - asinh(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((-x + S(-1)) / x), x), x, -x * sqrt(S(-1) - S(1) / x) + atan(sqrt(S(-1) - S(1) / x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x * (-x + S(4))), x), x, (x / S(2) + S(-1)) * sqrt(-(x ** S(2)) + S(4) * x) + S(2) * asin(x / S(2) + S(-1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x * (-x + S(1))), x), x, asin(S(2) * x + S(-1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (x * (x + S(2))) ** (S(3) / 2), x), x, x / sqrt(x ** S(2) + S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(1) + S(1) / x) / (-(x ** S(2)) + S(1)), x), x, sqrt(S(2)) * atanh(sqrt(S(2)) * sqrt(S(1) + S(1) / x) / S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (-(x ** S(2)) + sqrt(S(5)) * x ** S(2) + S(1) + sqrt(S(5))), x ), x, atan(x * sqrt(-sqrt(S(5)) / S(2) + S(3) / 2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((-a + x) * (b - x)), x), x, -((a - b) ** S(2)) * atan((a + b - S(2) * x) / (S(2) * sqrt(-a * b - x ** S(2) + x * (a + b)))) / S(8) + (-a / S(4) - b / S(4) + x / S(2)) * sqrt(-a * b - x ** S(2) + x * (a + b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((-a + x) * (b - x)), x), x, -atan((a + b - S(2) * x) / (S(2) * sqrt(-a * b - x ** S(2) + x * (a + b)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((-(x ** S(2)) + S(1)) * (x ** S(2) + S(3))), x), x, x * sqrt(-(x ** S(4)) - S(2) * x ** S(2) + S(3)) / S(3) - S(2) * sqrt(S(3)) * elliptic_e(asin(x), S(-1) / 3) / S(3) + S(4) * sqrt(S(3)) * elliptic_f(asin(x), S(-1) / 3) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((-(x ** S(2)) + S(1)) * (x ** S(2) + S(3))), x), x, sqrt(S(3)) * elliptic_f(asin(x), S(-1) / 3) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(a * x + b * x ** S(2)), x), x, S(2) * atanh(sqrt(b) * x / sqrt(a * x + b * x ** S(2))) / sqrt(b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x * (a + b * x)), x), x, S(2) * atanh(sqrt(b) * x / sqrt(a * x + b * x ** S(2))) / sqrt(b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x ** S(2) * (a / x + b)), x), x, S(2) * atanh(sqrt(b) * x / sqrt(a * x + b * x ** S(2))) / sqrt(b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x ** S(3) * (a / x ** S(2) + b / x)), x), x, S(2) * atanh(sqrt(b) * x / sqrt(a * x + b * x ** S(2))) / sqrt(b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((a * x ** S(2) + b * x ** S(3)) / x), x), x, S(2) * atanh(sqrt(b) * x / sqrt(a * x + b * x ** S(2))) / sqrt(b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((a * x ** S(3) + b * x ** S(4)) / x ** S(2)), x), x, S(2) * atanh(sqrt(b) * x / sqrt(a * x + b * x ** S(2))) / sqrt(b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(a * c * x + b * c * x ** S(2)), x), x, S(2) * atanh(sqrt(b) * sqrt(c) * x / sqrt(a * c * x + b * c * x ** S(2))) / (sqrt(b) * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(c * (a * x + b * x ** S(2))), x), x, S(2) * atanh(sqrt(b) * sqrt(c) * x / sqrt(a * c * x + b * c * x ** S(2))) / (sqrt(b) * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(c * x * (a + b * x)), x), x, S(2) * atanh(sqrt(b) * sqrt(c) * x / sqrt(a * c * x + b * c * x ** S(2))) / (sqrt(b) * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(c * x ** S(2) * (a / x + b)), x), x, S(2) * atanh(sqrt(b) * sqrt(c) * x / sqrt(a * c * x + b * c * x ** S(2))) / (sqrt(b) * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(2)) + x * sqrt(x ** S(2) + S(-1)) + S(1)), x), x, (S(3) * x / S(4) + sqrt(x ** S(2) + S(-1)) / S(4)) * sqrt(-(x ** S(2)) + x * sqrt(x ** S(2) + S(-1)) + S(1)) + S(3) * sqrt(S(2)) * asin(x - sqrt(x ** S(2) + S(-1))) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(x) * sqrt(x + S(1)) - x) / sqrt(x + S(1)), x), x, (sqrt(x) / S(2) + S(3) * sqrt(x + S(1)) / S(2)) * sqrt(sqrt(x) * sqrt(x + S(1)) - x) - S(3) * sqrt(S(2)) * asin(sqrt(x) - sqrt(x + S(1))) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( -(x + S(2) * sqrt(x ** S(2) + S(1))) / (x ** S(3) + x + sqrt(x ** S(2) + S(1))), x, ), x, -sqrt(S(2) + S(2) * sqrt(S(5))) * atan(sqrt(S(-2) + sqrt(S(5))) * (x + sqrt(x ** S(2) + S(1)))) + sqrt(S(-2) + S(2) * sqrt(S(5))) * atanh(sqrt(S(2) + sqrt(S(5))) * (x + sqrt(x ** S(2) + S(1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x + S(1)) / ((x ** S(2) + S(1)) * sqrt(x ** S(2) + S(2) * x + S(2))), x, ), x, -sqrt(S(1) / 2 + sqrt(S(5)) / S(2)) * atan( (-x * (sqrt(S(5)) + S(5)) + S(2) * sqrt(S(5))) / (sqrt(S(10) + S(10) * sqrt(S(5))) * sqrt(x ** S(2) + S(2) * x + S(2))) ) - sqrt(S(-1) / 2 + sqrt(S(5)) / S(2)) * atanh( (x * (-sqrt(S(5)) + S(5)) + S(2) * sqrt(S(5))) / (sqrt(S(-10) + S(10) * sqrt(S(5))) * sqrt(x ** S(2) + S(2) * x + S(2))) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (sqrt(-(x ** S(2)) + sqrt(x ** S(4) + S(1))) * (x ** S(4) + S(1))), x ), x, atan(x / sqrt(-(x ** S(2)) + sqrt(x ** S(4) + S(1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ((a + b * x ** S(4)) * sqrt(c * x ** S(2) + d * sqrt(a + b * x ** S(4)))), x, ), x, atanh(sqrt(c) * x / sqrt(c * x ** S(2) + d * sqrt(a + b * x ** S(4)))) / (a * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( (a + b * x ** S(4)) * sqrt(-c * x ** S(2) + d * sqrt(a + b * x ** S(4))) ), x, ), x, atan(sqrt(c) * x / sqrt(-c * x ** S(2) + d * sqrt(a + b * x ** S(4)))) / (a * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / sqrt( a + b * c ** S(4) + S(4) * b * c ** S(3) * d * x + S(6) * b * c ** S(2) * d ** S(2) * x ** S(2) + S(4) * b * c * d ** S(3) * x ** S(3) + b * d ** S(4) * x ** S(4) ), x, ), x, atanh( sqrt(b) * d ** S(2) * (c / d + x) ** S(2) / sqrt(a + b * d ** S(4) * (c / d + x) ** S(4)) ) / (S(2) * sqrt(b) * d ** S(2)) - c * sqrt( (a + b * d ** S(4) * (c / d + x) ** S(4)) / (sqrt(a) + sqrt(b) * d ** S(2) * (c / d + x) ** S(2)) ** S(2) ) * (sqrt(a) + sqrt(b) * d ** S(2) * (c / d + x) ** S(2)) * elliptic_f( S(2) * atan(b ** (S(1) / 4) * d * (c / d + x) / a ** (S(1) / 4)), S(1) / 2 ) / ( S(2) * a ** (S(1) / 4) * b ** (S(1) / 4) * d ** S(2) * sqrt(a + b * d ** S(4) * (c / d + x) ** S(4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / sqrt( a + b * c ** S(4) + S(4) * b * c ** S(3) * d * x + S(6) * b * c ** S(2) * d ** S(2) * x ** S(2) + S(4) * b * c * d ** S(3) * x ** S(3) + b * d ** S(4) * x ** S(4) ), x, ), x, sqrt( (a + b * d ** S(4) * (c / d + x) ** S(4)) / (sqrt(a) + sqrt(b) * d ** S(2) * (c / d + x) ** S(2)) ** S(2) ) * (sqrt(a) + sqrt(b) * d ** S(2) * (c / d + x) ** S(2)) * elliptic_f( S(2) * atan(b ** (S(1) / 4) * d * (c / d + x) / a ** (S(1) / 4)), S(1) / 2 ) / ( S(2) * a ** (S(1) / 4) * b ** (S(1) / 4) * d * sqrt(a + b * d ** S(4) * (c / d + x) ** S(4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - c * x ** S(4)) / ( sqrt(a + b * x ** S(2) + c * x ** S(4)) * (a * d + a * e * x ** S(2) + c * d * x ** S(4)) ), x, ), x, atanh( x * sqrt(-a * e + b * d) / (sqrt(d) * sqrt(a + b * x ** S(2) + c * x ** S(4))) ) / (sqrt(d) * sqrt(-a * e + b * d)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - c * x ** S(4)) / ( sqrt(a - b * x ** S(2) + c * x ** S(4)) * (a * d + a * e * x ** S(2) + c * d * x ** S(4)) ), x, ), x, atan( x * sqrt(a * e + b * d) / (sqrt(d) * sqrt(a - b * x ** S(2) + c * x ** S(4))) ) / (sqrt(d) * sqrt(a * e + b * d)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ((x ** S(3) + S(8)) * sqrt(x ** S(2) - S(2) * x + S(5))), x ), x, -sqrt(S(3)) * atan(sqrt(S(3)) * (-x + S(1)) / (S(3) * sqrt(x ** S(2) - S(2) * x + S(5)))) / S(12) - sqrt(S(13)) * atanh( sqrt(S(13)) * (-S(3) * x + S(7)) / (S(13) * sqrt(x ** S(2) - S(2) * x + S(5))) ) / S(156) + atanh(sqrt(x ** S(2) - S(2) * x + S(5))) / S(12), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** S(2) / (x ** S(2) + S(1))), x), x, sqrt(x ** S(2) + S(1)) * sqrt(x ** S(2)) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** n / (x ** n + S(1))), x), x, S(2) * x * sqrt(x ** n) * hyper((S(1) / 2, S(1) / 2 + S(1) / n), (S(3) / 2 + S(1) / n,), -(x ** n)) / (n + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-e * f * x ** S(2) + e * f) / ( (a * d * x ** S(2) + a * d + b * d * x) * sqrt(a * x ** S(4) + a + b * x ** S(3) + b * x + c * x ** S(2)) ), x, ), x, e * f * atan( ( a * b * x ** S(2) + a * b + x * (S(4) * a ** S(2) - S(2) * a * c + b ** S(2)) ) / ( S(2) * a * sqrt(S(2) * a - c) * sqrt(a * x ** S(4) + a + b * x ** S(3) + b * x + c * x ** S(2)) ) ) / (a * d * sqrt(S(2) * a - c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-e * f * x ** S(2) + e * f) / ( (-a * d * x ** S(2) - a * d + b * d * x) * sqrt(-a * x ** S(4) - a + b * x ** S(3) + b * x + c * x ** S(2)) ), x, ), x, e * f * atanh( ( a * b * x ** S(2) + a * b - x * (S(4) * a ** S(2) + S(2) * a * c + b ** S(2)) ) / ( S(2) * a * sqrt(S(2) * a + c) * sqrt(-a * x ** S(4) - a + b * x ** S(3) + b * x + c * x ** S(2)) ) ) / (a * d * sqrt(S(2) * a + c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt( a * x ** S(2) + b * x * sqrt(a ** S(2) * x ** S(2) / b ** S(2) - a / b ** S(2)) ) / (x * sqrt(a ** S(2) * x ** S(2) / b ** S(2) - a / b ** S(2))), x, ), x, sqrt(S(2)) * b * asinh( (a * x + b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) - a / b ** S(2))) / sqrt(a) ) / sqrt(a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt( -a * x ** S(2) + b * x * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + a / b ** S(2)) ) / (x * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + a / b ** S(2))), x, ), x, sqrt(S(2)) * b * asin( (a * x - b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + a / b ** S(2))) / sqrt(a) ) / sqrt(a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt( x * (a * x + b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) - a / b ** S(2))) ) / (x * sqrt(a ** S(2) * x ** S(2) / b ** S(2) - a / b ** S(2))), x, ), x, sqrt(S(2)) * b * asinh( (a * x + b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) - a / b ** S(2))) / sqrt(a) ) / sqrt(a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt( x * (-a * x + b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + a / b ** S(2))) ) / (x * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + a / b ** S(2))), x, ), x, sqrt(S(2)) * b * asin( (a * x - b * sqrt(a ** S(2) * x ** S(2) / b ** S(2) + a / b ** S(2))) / sqrt(a) ) / sqrt(a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( x * sqrt(x + S(-4)) + x * sqrt(x + S(-1)) - sqrt(x + S(-4)) - S(4) * sqrt(x + S(-1)) ) / ( (x ** S(2) - S(5) * x + S(4)) * (sqrt(x + S(-4)) + sqrt(x + S(-1)) + S(1)) ), x, ), x, S(2) * log(sqrt(x + S(-4)) + sqrt(x + S(-1)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( x * (x ** S(2) + S(3) * x + S(3)) * (x ** S(3) + S(3) * x ** S(2) + S(3) * x + S(3)) ** (S(1) / 3) ), x, ), x, S(3) ** (S(2) / 3) * log( -S(3) ** (S(1) / 3) * (x + S(1)) / ((x + S(1)) ** S(3) + S(2)) ** (S(1) / 3) + S(1) ) / S(9) - S(3) ** (S(2) / 3) * log( S(3) ** (S(2) / 3) * (x + S(1)) ** S(2) / ((x + S(1)) ** S(3) + S(2)) ** (S(2) / 3) + S(3) ** (S(1) / 3) * (x + S(1)) / ((x + S(1)) ** S(3) + S(2)) ** (S(1) / 3) + S(1) ) / S(18) - S(3) ** (S(1) / 6) * atan( sqrt(S(3)) * ( S(2) * S(3) ** (S(1) / 3) * (x + S(1)) / ((x + S(1)) ** S(3) + S(2)) ** (S(1) / 3) + S(1) ) / S(3) ) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(2)) + S(1)) / ((-(x ** S(3)) + S(1)) ** (S(2) / 3) * (x ** S(2) - x + S(1))), x, ), x, S(3) * S(2) ** (S(1) / 3) * log(S(2) ** (S(1) / 3) * (-x + S(1)) + (-(x ** S(3)) + S(1)) ** (S(1) / 3)) / S(4) - S(2) ** (S(1) / 3) * log(-(x ** S(3)) + S(2) * (-x + S(1)) ** S(3) + S(1)) / S(4) + S(2) ** (S(1) / 3) * sqrt(S(3)) * atan( sqrt(S(3)) * ( -S(2) * S(2) ** (S(1) / 3) * (-x + S(1)) / (-(x ** S(3)) + S(1)) ** (S(1) / 3) + S(1) ) / S(3) ) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (sqrt(x ** S(4) + S(-1)) * (x ** S(4) + S(1))), x), x, -atan((x ** S(2) + S(1)) / (x * sqrt(x ** S(4) + S(-1)))) / S(4) - atanh((-(x ** S(2)) + S(1)) / (x * sqrt(x ** S(4) + S(-1)))) / S(4), expand=True, _diff=True, _numerical=True, ) def test_3(): assert rubi_test( rubi_integrate(sqrt(x ** S(2) + S(-1)) / sqrt(x ** S(4) + S(-1)), x), x, sqrt(x ** S(2) + S(-1)) * sqrt(x ** S(2) + S(1)) * asinh(x) / sqrt(x ** S(4) + S(-1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** S(2) + S(1)) / sqrt(x ** S(4) + S(-1)), x), x, -sqrt(x ** S(4) + S(-1)) * asin(x) / sqrt(-(x ** S(4)) + S(1)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(sqrt(x ** S(2) + S(1)) / sqrt(x ** S(4) + S(-1)), x), x, sqrt(x ** S(2) + S(-1)) * sqrt(x ** S(2) + S(1)) * atanh(x / sqrt(x ** S(2) + S(-1))) / sqrt(x ** S(4) + S(-1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-sqrt(x ** S(2) + S(-1)) + sqrt(x ** S(2) + S(1))) / sqrt(x ** S(4) + S(-1)), x, ), x, sqrt(x ** S(2) + S(-1)) * sqrt(x ** S(4) + S(-1)) * asinh(x) / ((-(x ** S(2)) + S(1)) * sqrt(x ** S(2) + S(1))) - sqrt(x ** S(4) + S(-1)) * asin(x) / (sqrt(-(x ** S(2)) + S(1)) * sqrt(x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (-sqrt(x ** S(2) + S(-1)) + sqrt(x ** S(2) + S(1))) / sqrt(x ** S(4) + S(-1)), x, ), x, -sqrt(x ** S(2) + S(-1)) * sqrt(x ** S(2) + S(1)) * asinh(x) / sqrt(x ** S(4) + S(-1)) + sqrt(x ** S(2) + S(-1)) * sqrt(x ** S(2) + S(1)) * atanh(x / sqrt(x ** S(2) + S(-1))) / sqrt(x ** S(4) + S(-1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (-(x ** S(2)) + S(1)) ** S(5), x), x, S(1) / (S(8) * (-(x ** S(2)) + S(1)) ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( -S(5) / (S(256) * (x + S(1)) ** S(2)) - S(5) / (S(128) * (x + S(1)) ** S(3)) - S(3) / (S(64) * (x + S(1)) ** S(4)) - S(1) / (S(32) * (x + S(1)) ** S(5)) + S(5) / (S(256) * (x + S(-1)) ** S(2)) - S(5) / (S(128) * (x + S(-1)) ** S(3)) + S(3) / (S(64) * (x + S(-1)) ** S(4)) - S(1) / (S(32) * (x + S(-1)) ** S(5)), x, ), x, S(1) / (S(8) * (-(x ** S(2)) + S(1)) ** S(4)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( -S(5) / (S(256) * (x + S(1)) ** S(2)) - S(5) / (S(128) * (x + S(1)) ** S(3)) - S(3) / (S(64) * (x + S(1)) ** S(4)) - S(1) / (S(32) * (x + S(1)) ** S(5)) + S(5) / (S(256) * (x + S(-1)) ** S(2)) - S(5) / (S(128) * (x + S(-1)) ** S(3)) + S(3) / (S(64) * (x + S(-1)) ** S(4)) - S(1) / (S(32) * (x + S(-1)) ** S(5)), x, ), x, S(5) / (S(256) * (x + S(1))) + S(5) / (S(256) * (x + S(1)) ** S(2)) + S(1) / (S(64) * (x + S(1)) ** S(3)) + S(1) / (S(128) * (x + S(1)) ** S(4)) + S(5) / (S(256) * (-x + S(1))) + S(5) / (S(256) * (-x + S(1)) ** S(2)) + S(1) / (S(64) * (-x + S(1)) ** S(3)) + S(1) / (S(128) * (-x + S(1)) ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(2)) / (x ** S(2) + S(2) * x + S(-1)), x), x, (-sqrt(S(2)) + S(2)) * log(x + S(1) + sqrt(S(2))) / S(4) + (sqrt(S(2)) + S(2)) * log(x - sqrt(S(2)) + S(1)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + S(-4)) / (x ** S(3) - S(5) * x + S(2)), x), x, (-sqrt(S(2)) + S(2)) * log(x + S(1) + sqrt(S(2))) / S(4) + (sqrt(S(2)) + S(2)) * log(x - sqrt(S(2)) + S(1)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x ** S(8) + S(1)) / (x * (x ** S(8) + S(1)) ** (S(3) / 2)), x ), x, -atanh(sqrt(x ** S(8) + S(1))) / S(4) - S(1) / (S(4) * sqrt(x ** S(8) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(x ** S(8) + S(1)) * (S(2) * x ** S(8) + S(1)) / (x ** S(17) + S(2) * x ** S(9) + x), x, ), x, -atanh(sqrt(x ** S(8) + S(1))) / S(4) - S(1) / (S(4) * sqrt(x ** S(8) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( -S(9) * x ** S(2) + x / sqrt(-S(9) * x ** S(2) + S(1)) + S(1), x ), x, -S(3) * x ** S(3) + x - sqrt(-S(9) * x ** S(2) + S(1)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x + (-S(9) * x ** S(2) + S(1)) ** (S(3) / 2)) / sqrt(-S(9) * x ** S(2) + S(1)), x, ), x, -S(3) * x ** S(3) + x - sqrt(-S(9) * x ** S(2) + S(1)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(3) * sqrt(x) + x) ** (S(2) / 3) * (S(2) * sqrt(x) + S(-3)) / sqrt(x), x ), x, S(6) * (-S(3) * sqrt(x) + x) ** (S(5) / 3) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(9) * sqrt(x) + S(2) * x + S(9)) / (-S(3) * sqrt(x) + x) ** (S(1) / 3), x ), x, S(6) * (-S(3) * sqrt(x) + x) ** (S(5) / 3) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(2) / (S(4) * x ** S(2) + S(-1)), x), x, -atanh(S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(-S(1) / (S(2) * x + S(1)) + S(1) / (S(2) * x + S(-1)), x), x, log(-S(2) * x + S(1)) / S(2) - log(S(2) * x + S(1)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(-S(9) * x ** S(2) + S(4)), x), x, asin(S(3) * x / S(2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(-S(3) * x + S(2)) * sqrt(S(3) * x + S(2))), x), x, asin(S(3) * x / S(2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((-S(3) * x + S(2)) * (S(3) * x + S(2))), x), x, asin(S(3) * x / S(2)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(-(x ** S(2)) - S(2) * x + S(15)), x), x, asin(x / S(4) + S(1) / 4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(-x + S(3)) * sqrt(x + S(5))), x), x, asin(x / S(4) + S(1) / 4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((-x + S(3)) * (x + S(5))), x), x, asin(x / S(4) + S(1) / 4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(-(x ** S(2)) - S(8) * x + S(-15)), x), x, asin(x + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(-x + S(-3)) * sqrt(x + S(5))), x), x, asin(x + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt((-x + S(-3)) * (x + S(5))), x), x, asin(x + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(-sqrt(x) + S(1), x), x, -S(2) * x ** (S(3) / 2) / S(3) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-x + S(1)) / (sqrt(x) + S(1)), x), x, -S(2) * x ** (S(3) / 2) / S(3) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(1) / (-(x ** S(2)) + S(1))), x), x, sqrt(-(x ** S(2)) + S(1)) * sqrt(S(1) / (-(x ** S(2)) + S(1))) * asin(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((x ** S(2) + S(1)) / (-(x ** S(4)) + S(1))), x), x, sqrt(-(x ** S(2)) + S(1)) * sqrt(S(1) / (-(x ** S(2)) + S(1))) * asin(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(1) / (x ** S(2) + S(-1))), x), x, sqrt(x ** S(2) + S(-1)) * sqrt(S(1) / (x ** S(2) + S(-1))) * atanh(x / sqrt(x ** S(2) + S(-1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((x ** S(2) + S(1)) / (x ** S(4) + S(-1))), x), x, sqrt(x ** S(2) + S(-1)) * sqrt(S(1) / (x ** S(2) + S(-1))) * atanh(x / sqrt(x ** S(2) + S(-1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(6) + S(1)) / (x ** S(6) + S(-1)), x), x, x + log(x ** S(2) - x + S(1)) / S(6) - log(x ** S(2) + x + S(1)) / S(6) + sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x + S(1)) / S(3)) / S(3) - sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(3) - S(2) * atanh(x) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + x ** (S(-3))) / (x ** S(3) - S(1) / x ** S(3)), x), x, x + log(x ** S(2) - x + S(1)) / S(6) - log(x ** S(2) + x + S(1)) / S(6) + sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x + S(1)) / S(3)) / S(3) - sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(3) - S(2) * atanh(x) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(-x + S(1)), x), x, -S(2) * sqrt(-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x + S(1)) / sqrt(-(x ** S(2)) + S(1)), x), x, -S(2) * sqrt(-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x + S(1)), x), x, S(2) * sqrt(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-x + S(1)) / sqrt(-(x ** S(2)) + S(1)), x), x, S(2) * sqrt(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-x + S(1)), x), x, -S(2) * (-x + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(2)) + S(1)) / sqrt(x + S(1)), x), x, -S(2) * (-x + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x + S(1)), x), x, S(2) * (x + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(2)) + S(1)) / sqrt(-x + S(1)), x), x, S(2) * (x + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(3) * x + S(2)) / sqrt(x + S(1)), x), x, sqrt(x + S(1)) * sqrt(S(3) * x + S(2)) - sqrt(S(3)) * asinh(sqrt(S(3) * x + S(2))) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(-x + S(1)) * sqrt(S(3) * x + S(2)) / sqrt(-(x ** S(2)) + S(1)), x ), x, sqrt(x + S(1)) * sqrt(S(3) * x + S(2)) - sqrt(S(3)) * asinh(sqrt(S(3) * x + S(2))) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(1)) ** (S(3) / 2) / (x * (-x + S(1)) ** (S(3) / 2)), x), x, -asin(x) - atanh(sqrt(-x + S(1)) * sqrt(x + S(1))) + S(4) * sqrt(x + S(1)) / sqrt(-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x + S(1)) ** S(3) / (x * (-(x ** S(2)) + S(1)) ** (S(3) / 2)), x ), x, -asin(x) - atanh(sqrt(-(x ** S(2)) + S(1))) + S(4) * sqrt(-(x ** S(2)) + S(1)) / (-x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a * x + S(1)) ** (S(3) / 2) / (x * (-a * x + S(1)) ** (S(3) / 2)), x ), x, -asin(a * x) - atanh(sqrt(-a * x + S(1)) * sqrt(a * x + S(1))) + S(4) * sqrt(a * x + S(1)) / sqrt(-a * x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a * x + S(1)) ** S(3) / (x * (-(a ** S(2)) * x ** S(2) + S(1)) ** (S(3) / 2)), x, ), x, -asin(a * x) - atanh(sqrt(-(a ** S(2)) * x ** S(2) + S(1))) + S(4) * sqrt(-(a ** S(2)) * x ** S(2) + S(1)) / (-a * x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(-(x ** S(2)) + S(1)), x), x, asin(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** S(2) + S(1)) / sqrt(-(x ** S(4)) + S(1)), x), x, asin(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x ** S(2) + S(1)), x), x, asinh(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(2)) + S(1)) / sqrt(-(x ** S(4)) + S(1)), x), x, asinh(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(2)) + S(1)), x), x, x * sqrt(-(x ** S(2)) + S(1)) / S(2) + asin(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(4)) + S(1)) / sqrt(x ** S(2) + S(1)), x), x, x * sqrt(-(x ** S(2)) + S(1)) / S(2) + asin(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** S(2) + S(1)), x), x, x * sqrt(x ** S(2) + S(1)) / S(2) + asinh(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-(x ** S(4)) + S(1)) / sqrt(-(x ** S(2)) + S(1)), x), x, x * sqrt(x ** S(2) + S(1)) / S(2) + asinh(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(2) * c + a ** S(2) * d * x + S(2) * a * b * c * x ** S(2) + S(2) * a * b * d * x ** S(3) + b ** S(2) * c * x ** S(4) + b ** S(2) * d * x ** S(5) ) / (c + d * x), x, ), x, a ** S(2) * x + S(2) * a * b * x ** S(3) / S(3) + b ** S(2) * x ** S(5) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(2) * c + a ** S(2) * d * x + S(2) * a * b * c * x ** S(2) + S(2) * a * b * d * x ** S(3) + b ** S(2) * c * x ** S(4) + b ** S(2) * d * x ** S(5) ) / (c + d * x) ** S(2), x, ), x, -(b ** S(2)) * c * x ** S(3) / (S(3) * d ** S(2)) + b ** S(2) * x ** S(4) / (S(4) * d) - b * c * x * (S(2) * a * d ** S(2) + b * c ** S(2)) / d ** S(4) + b * x ** S(2) * (S(2) * a * d ** S(2) + b * c ** S(2)) / (S(2) * d ** S(3)) + (a * d ** S(2) + b * c ** S(2)) ** S(2) * log(c + d * x) / d ** S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(2) * c + a ** S(2) * d * x + S(2) * a * b * c * x ** S(2) + S(2) * a * b * d * x ** S(3) + b ** S(2) * c * x ** S(4) + b ** S(2) * d * x ** S(5) ) / (a + b * x ** S(2)), x, ), x, a * c * x + a * d * x ** S(2) / S(2) + b * c * x ** S(3) / S(3) + b * d * x ** S(4) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(2) * c + a ** S(2) * d * x + S(2) * a * b * c * x ** S(2) + S(2) * a * b * d * x ** S(3) + b ** S(2) * c * x ** S(4) + b ** S(2) * d * x ** S(5) ) / (a + b * x ** S(2)) ** S(2), x, ), x, c * x + d * x ** S(2) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( a ** S(2) * c + a ** S(2) * d * x + S(2) * a * b * c * x ** S(2) + S(2) * a * b * d * x ** S(3) + b ** S(2) * c * x ** S(4) + b ** S(2) * d * x ** S(5) ) / (a + b * x ** S(2)) ** S(3), x, ), x, d * log(a + b * x ** S(2)) / (S(2) * b) + c * atan(sqrt(b) * x / sqrt(a)) / (sqrt(a) * sqrt(b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(((a + b + c * x ** S(2)) / d) ** m, x), x, d * x * (c * x ** S(2) / d + (a + b) / d) ** (m + S(1)) * hyper((S(1), m + S(3) / 2), (S(3) / 2,), -c * x ** S(2) / (a + b)) / (a + b), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(((a + b + c * x ** S(2)) / d) ** m, x), x, x * (c * x ** S(2) / d + (a + b) / d) ** m * (c * x ** S(2) / (a + b) + S(1)) ** (-m) * hyper((S(1) / 2, -m), (S(3) / 2,), -c * x ** S(2) / (a + b)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x - sqrt(x ** S(2) + S(1))), x), x, -(x ** S(2)) / S(2) - x * sqrt(x ** S(2) + S(1)) / S(2) - asinh(x) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x - sqrt(-(x ** S(2)) + S(1))), x), x, log(-S(2) * x ** S(2) + S(1)) / S(4) - asin(x) / S(2) - atanh(x / sqrt(-(x ** S(2)) + S(1))) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x - sqrt(S(2) * x ** S(2) + S(1))), x), x, -log(x ** S(2) + S(1)) / S(2) - sqrt(S(2)) * asinh(sqrt(S(2)) * x) + atanh(x / sqrt(S(2) * x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(3)) + x ** S(2) * sqrt(-(x ** S(2)) + S(2)) + S(2) * x) / (S(2) * x ** S(2) + S(-2)), x, ), x, -(x ** S(2)) / S(4) + x * sqrt(-(x ** S(2)) + S(2)) / S(4) + log(-(x ** S(2)) + S(1)) / S(4) - atanh(x / sqrt(-(x ** S(2)) + S(2))) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * sqrt(-(x ** S(2)) + S(2)) / (x - sqrt(-(x ** S(2)) + S(2))), x ), x, -(x ** S(2)) / S(4) + x * sqrt(-(x ** S(2)) + S(2)) / S(4) + log(-x + S(1)) / S(4) + log(x + S(1)) / S(4) - atanh(x / sqrt(-(x ** S(2)) + S(2))) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (-x + sqrt(-(x ** S(2)) + S(2) * x)), x), x, -x / S(2) - sqrt(-(x ** S(2)) + S(2) * x) / S(2) - log(-x + S(1)) / S(2) + atanh(sqrt(-(x ** S(2)) + S(2) * x)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(-(x ** S(2)) + S(2) * x)) / (-S(2) * x + S(2)), x), x, -x / S(2) - sqrt(-(x ** S(2)) + S(2) * x) / S(2) - log(-x + S(1)) / S(2) + atanh(sqrt(-(x ** S(2)) + S(2) * x)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(x) * sqrt(-x + S(2)) + x) / (-S(2) * x + S(2)), x), x, -x / S(2) - sqrt(-(x ** S(2)) + S(2) * x) / S(2) - log(-x + S(1)) / S(2) + atanh(sqrt(-(x ** S(2)) + S(2) * x)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / (-sqrt(x) + sqrt(-x + S(2))), x), x, -sqrt(x) * sqrt(-x + S(2)) / S(2) - x / S(2) - log(-x + S(1)) / S(2) + atanh(sqrt(x) * sqrt(-x + S(2))) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * sqrt(-x + S(3)) + S(3) / sqrt(x + S(1))) ** S(2) / x, x), x, -S(4) * x + S(21) * log(x) - S(9) * log(x + S(1)) - S(12) * asin(x / S(2) + S(-1) / 2) - S(24) * sqrt(S(3)) * atanh(sqrt(S(3)) * sqrt(x + S(1)) / sqrt(-x + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(2) + x + S(-1)) / (sqrt(x ** S(2) + S(1)) + S(1)), x), x, x * sqrt(x ** S(2) + S(1)) / S(2) - x + sqrt(x ** S(2) + S(1)) - log(sqrt(x ** S(2) + S(1)) + S(1)) - asinh(x) / S(2) + sqrt(x ** S(2) + S(1)) / x - S(1) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + x + S(-1)) / (x + sqrt(x ** S(2) + S(1)) + S(1)), x ), x, x ** S(3) / S(6) + x ** S(2) / S(2) + sqrt(x ** S(2) + S(1)) * (-S(2) * x ** S(2) - S(3) * x + S(4)) / S(12) - log(sqrt(x ** S(2) + S(1)) + S(1)) / S(2) - asinh(x) / S(4), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (x ** S(2) + x + S(-1)) / (x + sqrt(x ** S(2) + S(1)) + S(1)), x ), x, x ** S(3) / S(6) + x ** S(2) / S(2) - x * sqrt(x ** S(2) + S(1)) / S(4) + x / S(2) - (x ** S(2) + S(1)) ** (S(3) / 2) / S(6) + log(x + sqrt(x ** S(2) + S(1))) / S(2) - log(x + sqrt(x ** S(2) + S(1)) + S(1)) - asinh(x) / S(4) + S(1) / (S(2) * (x + sqrt(x ** S(2) + S(1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(2) * sqrt(x + S(-1))) / (x * sqrt(x + S(-1))), x), x, S(2) * sqrt(x + S(-1)) + S(2) * log(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x ** (S(2) / 3) + c * sqrt(x)) ** S(2), x), x, a ** S(2) * x + S(6) * a * b * x ** (S(5) / 3) / S(5) + S(4) * a * c * x ** (S(3) / 2) / S(3) + S(3) * b ** S(2) * x ** (S(7) / 3) / S(7) + S(12) * b * c * x ** (S(13) / 6) / S(13) + c ** S(2) * x ** S(2) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x ** (S(2) / 3) + c * sqrt(x)) ** S(3), x), x, a ** S(3) * x + S(9) * a ** S(2) * b * x ** (S(5) / 3) / S(5) + S(2) * a ** S(2) * c * x ** (S(3) / 2) + S(9) * a * b ** S(2) * x ** (S(7) / 3) / S(7) + S(36) * a * b * c * x ** (S(13) / 6) / S(13) + S(3) * a * c ** S(2) * x ** S(2) / S(2) + b ** S(3) * x ** S(3) / S(3) + S(18) * b ** S(2) * c * x ** (S(17) / 6) / S(17) + S(9) * b * c ** S(2) * x ** (S(8) / 3) / S(8) + S(2) * c ** S(3) * x ** (S(5) / 2) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(-1)) / (x ** S(3) * sqrt(a - b + b / x ** S(2))), x ), x, atanh(sqrt(a - b + b / x ** S(2)) / sqrt(a - b)) / sqrt(a - b) + sqrt(a - b + b / x ** S(2)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(-1)) / (x ** S(3) * sqrt(a + b * (S(-1) + x ** (S(-2))))), x ), x, atanh(sqrt(a - b + b / x ** S(2)) / sqrt(a - b)) / sqrt(a - b) + sqrt(a - b + b / x ** S(2)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (c + d * x) ** S(2) / (a + b * x ** S(3)), x), x, -(a ** (S(1) / 3)) * d * (-(a ** (S(1) / 3)) * d + S(2) * b ** (S(1) / 3) * c) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * x) / (S(3) * b ** (S(5) / 3)) + a ** (S(1) / 3) * d * (-(a ** (S(1) / 3)) * d + S(2) * b ** (S(1) / 3) * c) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * x + b ** (S(2) / 3) * x ** S(2) ) / (S(6) * b ** (S(5) / 3)) + sqrt(S(3)) * a ** (S(1) / 3) * d * (a ** (S(1) / 3) * d + S(2) * b ** (S(1) / 3) * c) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * x) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * b ** (S(5) / 3)) + c ** S(2) * log(a + b * x ** S(3)) / (S(3) * b) + S(2) * c * d * x / b + d ** S(2) * x ** S(2) / (S(2) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(1)) / ((x ** S(2) + S(4)) * sqrt(x ** S(2) + S(9))), x), x, sqrt(S(5)) * atan(sqrt(S(5)) * x / (S(2) * sqrt(x ** S(2) + S(9)))) / S(10) - sqrt(S(5)) * atanh(sqrt(S(5)) * sqrt(x ** S(2) + S(9)) / S(5)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (sqrt(-(x ** S(2)) + S(1)) + S(1)), x), x, x ** S(2) / S(2) - (-(x ** S(2)) + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (sqrt(-x + S(1)) * sqrt(x + S(1)) + S(1)), x), x, x ** S(2) / S(2) - (-(x ** S(2)) + S(1)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (S(1) + S(1) / (sqrt(x + S(2)) * sqrt(x + S(3)))), x), x, x ** S(2) / S(2) + sqrt(x + S(2)) * sqrt(x + S(3)) - S(5) * asinh(sqrt(x + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x - sqrt(x ** S(6))) / (x * (-(x ** S(4)) + S(1))), x), x, atan(x) / S(2) + atanh(x) / S(2) + sqrt(x ** S(6)) * atan(x) / (S(2) * x ** S(3)) - sqrt(x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(1) - sqrt(x ** S(6)) / x) / (-(x ** S(4)) + S(1)), x), x, atan(x) / S(2) + atanh(x) / S(2) + sqrt(x ** S(6)) * atan(x) / (S(2) * x ** S(3)) - sqrt(x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x - sqrt(x ** S(6))) / (-(x ** S(5)) + x), x), x, atan(x) / S(2) + atanh(x) / S(2) + sqrt(x ** S(6)) * atan(x) / (S(2) * x ** S(3)) - sqrt(x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (x + sqrt(x ** S(6))), x), x, atan(x) / S(2) + atanh(x) / S(2) + sqrt(x ** S(6)) * atan(x) / (S(2) * x ** S(3)) - sqrt(x ** S(6)) * atanh(x) / (S(2) * x ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(x) - sqrt(x ** S(3))) / (-(x ** S(3)) + x), x), x, atan(sqrt(x)) + atanh(sqrt(x)) + sqrt(x ** S(3)) * atan(sqrt(x)) / x ** (S(3) / 2) - sqrt(x ** S(3)) * atanh(sqrt(x)) / x ** (S(3) / 2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x) + sqrt(x ** S(3))), x), x, atan(sqrt(x)) + atanh(sqrt(x)) + sqrt(x ** S(3)) * atan(sqrt(x)) / x ** (S(3) / 2) - sqrt(x ** S(3)) * atanh(sqrt(x)) / x ** (S(3) / 2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x + S(-1)) + sqrt((x + S(-1)) ** S(3))), x), x, atan(sqrt(x + S(-1))) + atanh(sqrt(x + S(-1))) + sqrt((x + S(-1)) ** S(3)) * atan(sqrt(x + S(-1))) / (x + S(-1)) ** (S(3) / 2) - sqrt((x + S(-1)) ** S(3)) * atanh(sqrt(x + S(-1))) / (x + S(-1)) ** (S(3) / 2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(4) * x + S(-5)) / ((S(5) * x + S(4)) ** S(2) * sqrt(-(x ** S(2)) + S(1))) - S(3) / (S(5) * x + S(4)) ** S(2), x, ), x, sqrt(-(x ** S(2)) + S(1)) / (S(5) * x + S(4)) + S(3) / (S(5) * (S(5) * x + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-S(4) * x - S(3) * sqrt(-(x ** S(2)) + S(1)) + S(-5)) / ((S(5) * x + S(4)) ** S(2) * sqrt(-(x ** S(2)) + S(1))), x, ), x, sqrt(-(x ** S(2)) + S(1)) / (S(5) * x + S(4)) + S(3) / (S(5) * (S(5) * x + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( -S(3) * x ** S(2) + (-S(4) * x + S(-5)) * sqrt(-(x ** S(2)) + S(1)) + S(3) ), x, ), x, sqrt(-(x ** S(2)) + S(1)) / (S(5) * x + S(4)) + S(3) / (S(5) * (S(5) * x + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( -S(3) * x ** S(2) - S(4) * x * sqrt(-(x ** S(2)) + S(1)) - S(5) * sqrt(-(x ** S(2)) + S(1)) + S(3) ), x, ), x, sqrt(-(x ** S(2)) + S(1)) / (S(5) * x + S(4)) + S(3) / (S(5) * (S(5) * x + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (sqrt(-(x ** S(2)) + S(1)) + S(-1)) / ( sqrt(-(x ** S(2)) + S(1)) * (x - S(2) * sqrt(-(x ** S(2)) + S(1)) + S(2)) ** S(2) ), x, ), x, sqrt(-(x ** S(2)) + S(1)) / (S(5) * x + S(4)) + S(3) / (S(5) * (S(5) * x + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x ** (n + S(-1))) / (c * x + d * x ** n), x), x, b * log(x) / d - (-a * d + b * c) * log(c * x ** (-n + S(1)) + d) / (c * d * (-n + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x ** S(5) + S(2) * x ** S(3) - x) / (x ** S(4) + S(2) * x ** S(2) + S(3)) ** S(2), x, ), x, (-S(7) * x ** S(2) / S(8) + S(5) / 8) / (x ** S(4) + S(2) * x ** S(2) + S(3)) + S(9) * sqrt(S(2)) * atan(sqrt(S(2)) * (x ** S(2) + S(1)) / S(2)) / S(16), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(5) + x) / (S(2) * x ** S(4) + S(2) * x ** S(2) + S(1)) ** S(3), x ), x, (x ** S(2) / S(4) + S(3) / 16) / (S(2) * x ** S(4) + S(2) * x ** S(2) + S(1)) ** S(2) + (x ** S(2) + S(1) / 2) / (S(2) * x ** S(4) + S(2) * x ** S(2) + S(1)) + atan(S(2) * x ** S(2) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x + c * x ** S(2)) / (d + e * x ** S(2) + f * x ** S(4)), x ), x, -b * atanh((e + S(2) * f * x ** S(2)) / sqrt(-S(4) * d * f + e ** S(2))) / sqrt(-S(4) * d * f + e ** S(2)) + sqrt(S(2)) * (c + (-S(2) * a * f + c * e) / sqrt(-S(4) * d * f + e ** S(2))) * atan(sqrt(S(2)) * sqrt(f) * x / sqrt(e + sqrt(-S(4) * d * f + e ** S(2)))) / (S(2) * sqrt(f) * sqrt(e + sqrt(-S(4) * d * f + e ** S(2)))) + sqrt(S(2)) * (c + (S(2) * a * f - c * e) / sqrt(-S(4) * d * f + e ** S(2))) * atan(sqrt(S(2)) * sqrt(f) * x / sqrt(e - sqrt(-S(4) * d * f + e ** S(2)))) / (S(2) * sqrt(f) * sqrt(e - sqrt(-S(4) * d * f + e ** S(2)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((d + e * x) ** S(2) / (a + b * x ** S(2) + c * x ** S(4)), x), x, -S(2) * d * e * atanh((b + S(2) * c * x ** S(2)) / sqrt(-S(4) * a * c + b ** S(2))) / sqrt(-S(4) * a * c + b ** S(2)) + sqrt(S(2)) * ( e ** S(2) + (b * e ** S(2) - S(2) * c * d ** S(2)) / sqrt(-S(4) * a * c + b ** S(2)) ) * atan(sqrt(S(2)) * sqrt(c) * x / sqrt(b + sqrt(-S(4) * a * c + b ** S(2)))) / (S(2) * sqrt(c) * sqrt(b + sqrt(-S(4) * a * c + b ** S(2)))) + sqrt(S(2)) * ( e ** S(2) + (-b * e ** S(2) + S(2) * c * d ** S(2)) / sqrt(-S(4) * a * c + b ** S(2)) ) * atan(sqrt(S(2)) * sqrt(c) * x / sqrt(b - sqrt(-S(4) * a * c + b ** S(2)))) / (S(2) * sqrt(c) * sqrt(b - sqrt(-S(4) * a * c + b ** S(2)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(S(2) * x ** S(2) + S(1)) / (sqrt(S(2) * x ** S(2) + S(1)) + S(1)), x ), x, x - sqrt(S(2)) * asinh(sqrt(S(2)) * x) / S(2) + sqrt(S(2) * x ** S(2) + S(1)) / (S(2) * x) - S(1) / (S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(S(4) * x ** S(2) + S(-1)) / (x + sqrt(S(4) * x ** S(2) + S(-1))), x ), x, S(4) * x / S(3) - sqrt(S(4) * x ** S(2) + S(-1)) / S(3) - sqrt(S(3)) * atanh(sqrt(S(3)) * x) / S(9) + sqrt(S(3)) * atanh(sqrt(S(3)) * sqrt(S(4) * x ** S(2) + S(-1))) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / ((a + b * x) * (c + d * x)), x), x, a ** S(2) * log(a + b * x) / (b ** S(2) * (-a * d + b * c)) - c ** S(2) * log(c + d * x) / (d ** S(2) * (-a * d + b * c)) + x / (b * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / ((a + b * x ** S(2)) * (c + d * x)), x), x, -sqrt(a) * c * atan(sqrt(b) * x / sqrt(a)) / (sqrt(b) * (a * d ** S(2) + b * c ** S(2))) + a * d * log(a + b * x ** S(2)) / (S(2) * b * (a * d ** S(2) + b * c ** S(2))) + c ** S(2) * log(c + d * x) / (d * (a * d ** S(2) + b * c ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / ((a + b * x ** S(3)) * (c + d * x)), x), x, a ** (S(1) / 3) * d * (a ** (S(1) / 3) * d + b ** (S(1) / 3) * c) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * x) / (S(3) * b ** (S(2) / 3) * (-a * d ** S(3) + b * c ** S(3))) - a ** (S(1) / 3) * d * (a ** (S(1) / 3) * d + b ** (S(1) / 3) * c) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * x + b ** (S(2) / 3) * x ** S(2) ) / (S(6) * b ** (S(2) / 3) * (-a * d ** S(3) + b * c ** S(3))) - sqrt(S(3)) * a ** (S(1) / 3) * d * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * x) / (S(3) * a ** (S(1) / 3)) ) / ( S(3) * b ** (S(2) / 3) * ( a ** (S(2) / 3) * d ** S(2) + a ** (S(1) / 3) * b ** (S(1) / 3) * c * d + b ** (S(2) / 3) * c ** S(2) ) ) + c ** S(2) * log(a + b * x ** S(3)) / (S(3) * (-a * d ** S(3) + b * c ** S(3))) - c ** S(2) * log(c + d * x) / (-a * d ** S(3) + b * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / ((a + b * x ** S(4)) * (c + d * x)), x), x, sqrt(a) * d ** S(3) * atan(sqrt(b) * x ** S(2) / sqrt(a)) / (S(2) * sqrt(b) * (a * d ** S(4) + b * c ** S(4))) - c ** S(2) * d * log(a + b * x ** S(4)) / (S(4) * (a * d ** S(4) + b * c ** S(4))) + c ** S(2) * d * log(c + d * x) / (a * d ** S(4) + b * c ** S(4)) - sqrt(S(2)) * c * (-sqrt(a) * d ** S(2) + sqrt(b) * c ** S(2)) * atan(S(1) - sqrt(S(2)) * b ** (S(1) / 4) * x / a ** (S(1) / 4)) / (S(4) * a ** (S(1) / 4) * b ** (S(1) / 4) * (a * d ** S(4) + b * c ** S(4))) + sqrt(S(2)) * c * (-sqrt(a) * d ** S(2) + sqrt(b) * c ** S(2)) * atan(S(1) + sqrt(S(2)) * b ** (S(1) / 4) * x / a ** (S(1) / 4)) / (S(4) * a ** (S(1) / 4) * b ** (S(1) / 4) * (a * d ** S(4) + b * c ** S(4))) + sqrt(S(2)) * c * (sqrt(a) * d ** S(2) + sqrt(b) * c ** S(2)) * log( -sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * x + sqrt(a) + sqrt(b) * x ** S(2) ) / (S(8) * a ** (S(1) / 4) * b ** (S(1) / 4) * (a * d ** S(4) + b * c ** S(4))) - sqrt(S(2)) * c * (sqrt(a) * d ** S(2) + sqrt(b) * c ** S(2)) * log( sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * x + sqrt(a) + sqrt(b) * x ** S(2) ) / (S(8) * a ** (S(1) / 4) * b ** (S(1) / 4) * (a * d ** S(4) + b * c ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / ((-x + S(1)) * (x + S(1)) ** S(2)), x), x, atanh(x) / S(2) + S(1) / (S(2) * (x + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / ((-(x ** S(2)) + S(1)) * (x ** S(2) + S(1)) ** S(2)), x ), x, -x / (S(4) * (x ** S(2) + S(1))) + atanh(x) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) / ((-(x ** S(3)) + S(1)) * (x ** S(3) + S(1)) ** S(2)), x ), x, -x / (S(6) * (x ** S(3) + S(1))) - log(-x + S(1)) / S(12) - log(x + S(1)) / S(36) + log(x ** S(2) - x + S(1)) / S(72) + log(x ** S(2) + x + S(1)) / S(24) + sqrt(S(3)) * atan(sqrt(S(3)) * (-S(2) * x + S(1)) / S(3)) / S(36) + sqrt(S(3)) * atan(sqrt(S(3)) * (S(2) * x + S(1)) / S(3)) / S(12), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x + c * x ** S(2)) / ((d + e * x) ** S(3) * sqrt(x ** S(2) + S(-1))), x, ), x, ( a * (S(2) * d ** S(2) + e ** S(2)) / S(2) - S(3) * b * d * e / S(2) + c * (d ** S(2) + S(2) * e ** S(2)) / S(2) ) * atanh((d * x + e) / (sqrt(d ** S(2) - e ** S(2)) * sqrt(x ** S(2) + S(-1)))) / (d ** S(2) - e ** S(2)) ** (S(5) / 2) + sqrt(x ** S(2) + S(-1)) * ( c * (d ** S(3) - S(4) * d * e ** S(2)) / S(2) - e * (S(3) * a * d * e - b * (d ** S(2) + S(2) * e ** S(2))) / S(2) ) / (e * (d + e * x) * (d ** S(2) - e ** S(2)) ** S(2)) - sqrt(x ** S(2) + S(-1)) * (a * e ** S(2) / S(2) - b * d * e / S(2) + c * d ** S(2) / S(2)) / (e * (d + e * x) ** S(2) * (d ** S(2) - e ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x + c * x ** S(2)) / ((d + e * x) ** S(3) * sqrt(x + S(-1)) * sqrt(x + S(1))), x, ), x, (-S(3) * b * d * e + d ** S(2) * (S(2) * a + c) + e ** S(2) * (a + S(2) * c)) * atanh(sqrt(d + e) * sqrt(x + S(1)) / (sqrt(d - e) * sqrt(x + S(-1)))) / ((d - e) ** (S(5) / 2) * (d + e) ** (S(5) / 2)) + sqrt(x + S(-1)) * sqrt(x + S(1)) * ( b * d ** S(2) * e / S(2) + b * e ** S(3) + c * d ** S(3) / S(2) - d * e ** S(2) * (S(3) * a + S(4) * c) / S(2) ) / (e * (d + e * x) * (d ** S(2) - e ** S(2)) ** S(2)) - sqrt(x + S(-1)) * sqrt(x + S(1)) * (a * e ** S(2) / S(2) - b * d * e / S(2) + c * d ** S(2) / S(2)) / (e * (d + e * x) ** S(2) * (d ** S(2) - e ** S(2))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (a + b * x + c * x ** S(2)) / ((d + e * x) ** S(3) * sqrt(x + S(-1)) * sqrt(x + S(1))), x, ), x, S(2) * c * atanh(sqrt(d + e) * sqrt(x + S(1)) / (sqrt(d - e) * sqrt(x + S(-1)))) / (e ** S(2) * sqrt(d - e) * sqrt(d + e)) - S(3) * d * sqrt(x + S(-1)) * sqrt(x + S(1)) * (a * e ** S(2) - b * d * e + c * d ** S(2)) / (S(2) * e * (d + e * x) * (d ** S(2) - e ** S(2)) ** S(2)) - S(2) * d * (-b * e + S(2) * c * d) * atanh(sqrt(d + e) * sqrt(x + S(1)) / (sqrt(d - e) * sqrt(x + S(-1)))) / (e ** S(2) * (d - e) ** (S(3) / 2) * (d + e) ** (S(3) / 2)) + sqrt(x + S(-1)) * sqrt(x + S(1)) * (-b * e + S(2) * c * d) / (e * (d + e * x) * (d ** S(2) - e ** S(2))) - sqrt(x + S(-1)) * sqrt(x + S(1)) * (a * e ** S(2) / S(2) - b * d * e / S(2) + c * d ** S(2) / S(2)) / (e * (d + e * x) ** S(2) * (d ** S(2) - e ** S(2))) + (S(2) * d ** S(2) + e ** S(2)) * (a * e ** S(2) - b * d * e + c * d ** S(2)) * atanh(sqrt(d + e) * sqrt(x + S(1)) / (sqrt(d - e) * sqrt(x + S(-1)))) / (e ** S(2) * (d - e) ** (S(5) / 2) * (d + e) ** (S(5) / 2)), expand=True, _diff=True, _numerical=True, ) def test_4(): assert rubi_test( rubi_integrate( (b + S(2) * c * x + S(3) * d * x ** S(2)) * (a + b * x + c * x ** S(2) + d * x ** S(3)) ** n, x, ), x, (a + b * x + c * x ** S(2) + d * x ** S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b + S(2) * c * x + S(3) * d * x ** S(2)) * (b * x + c * x ** S(2) + d * x ** S(3)) ** n, x, ), x, (b * x + c * x ** S(2) + d * x ** S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** n * (b + c * x + d * x ** S(2)) ** n * (b + S(2) * c * x + S(3) * d * x ** S(2)), x, ), x, x ** (n + S(1)) * (b + c * x + d * x ** S(2)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b + S(3) * d * x ** S(2)) * (a + b * x + d * x ** S(3)) ** n, x ), x, (a + b * x + d * x ** S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(3) * d * x ** S(2)) * (b * x + d * x ** S(3)) ** n, x), x, (b * x + d * x ** S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** n * (b + d * x ** S(2)) ** n * (b + S(3) * d * x ** S(2)), x ), x, x ** (n + S(1)) * (b + d * x ** S(2)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * c * x + S(3) * d * x ** S(2)) * (a + c * x ** S(2) + d * x ** S(3)) ** n, x, ), x, (a + c * x ** S(2) + d * x ** S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * c * x + S(3) * d * x ** S(2)) * (c * x ** S(2) + d * x ** S(3)) ** n, x, ), x, (c * x ** S(2) + d * x ** S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** n * (c * x + d * x ** S(2)) ** n * (S(2) * c * x + S(3) * d * x ** S(2)), x, ), x, x ** (n + S(1)) * (c * x + d * x ** S(2)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** (S(2) * n) * (c + d * x) ** n * (S(2) * c * x + S(3) * d * x ** S(2)), x, ), x, x ** (S(2) * n + S(2)) * (c + d * x) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (S(2) * c + S(3) * d * x) * (a + c * x ** S(2) + d * x ** S(3)) ** n, x ), x, (a + c * x ** S(2) + d * x ** S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (S(2) * c + S(3) * d * x) * (c * x ** S(2) + d * x ** S(3)) ** n, x ), x, (c * x ** S(2) + d * x ** S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b + S(2) * c * x + S(3) * d * x ** S(2)) * (a + b * x + c * x ** S(2) + d * x ** S(3)) ** S(7), x, ), x, (a + b * x + c * x ** S(2) + d * x ** S(3)) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b + S(2) * c * x + S(3) * d * x ** S(2)) * (b * x + c * x ** S(2) + d * x ** S(3)) ** S(7), x, ), x, x ** S(8) * (b + c * x + d * x ** S(2)) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(7) * (b + c * x + d * x ** S(2)) ** S(7) * (b + S(2) * c * x + S(3) * d * x ** S(2)), x, ), x, x ** S(8) * (b + c * x + d * x ** S(2)) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b + S(3) * d * x ** S(2)) * (a + b * x + d * x ** S(3)) ** S(7), x ), x, (a + b * x + d * x ** S(3)) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(7) * (b + d * x ** S(2)) ** S(7) * (b + S(3) * d * x ** S(2)), x ), x, x ** S(8) * (b + d * x ** S(2)) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(3) * d * x ** S(2)) * (b * x + d * x ** S(3)) ** S(7), x), x, x ** S(8) * (b + d * x ** S(2)) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * c * x + S(3) * d * x ** S(2)) * (a + c * x ** S(2) + d * x ** S(3)) ** S(7), x, ), x, (a + c * x ** S(2) + d * x ** S(3)) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * c * x + S(3) * d * x ** S(2)) * (c * x ** S(2) + d * x ** S(3)) ** S(7), x, ), x, x ** S(16) * (c + d * x) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(7) * (c * x + d * x ** S(2)) ** S(7) * (S(2) * c * x + S(3) * d * x ** S(2)), x, ), x, x ** S(16) * (c + d * x) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(14) * (c + d * x) ** S(7) * (S(2) * c * x + S(3) * d * x ** S(2)), x ), x, x ** S(16) * (c + d * x) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (S(2) * c + S(3) * d * x) * (a + c * x ** S(2) + d * x ** S(3)) ** S(7), x, ), x, (a + c * x ** S(2) + d * x ** S(3)) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (S(2) * c + S(3) * d * x) * (c * x ** S(2) + d * x ** S(3)) ** S(7), x ), x, x ** S(16) * (c + d * x) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(8) * (S(2) * c + S(3) * d * x) * (c * x + d * x ** S(2)) ** S(7), x ), x, x ** S(16) * (c + d * x) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(15) * (c + d * x) ** S(7) * (S(2) * c + S(3) * d * x), x), x, x ** S(16) * (c + d * x) ** S(8) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) * ((a * x + b * x ** S(2) / S(2)) ** S(4) + S(1)), x ), x, a * x + b * x ** S(2) / S(2) + (a * x + b * x ** S(2) / S(2)) ** S(5) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) * ((a * x + b * x ** S(2) / S(2) + c) ** S(4) + S(1)), x ), x, a * x + b * x ** S(2) / S(2) + (a * x + b * x ** S(2) / S(2) + c) ** S(5) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * x) * ((a * x + b * x ** S(2) / S(2)) ** n + S(1)), x), x, a * x + b * x ** S(2) / S(2) + (a * x + b * x ** S(2) / S(2)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x) * ((a * x + b * x ** S(2) / S(2) + c) ** n + S(1)), x ), x, a * x + b * x ** S(2) / S(2) + (a * x + b * x ** S(2) / S(2) + c) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + c * x ** S(2)) * ((a * x + c * x ** S(3) / S(3)) ** S(5) + S(1)), x ), x, a * x + c * x ** S(3) / S(3) + (a * x + c * x ** S(3) / S(3)) ** S(6) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + c * x ** S(2)) * ((a * x + c * x ** S(3) / S(3) + d) ** S(5) + S(1)), x ), x, a * x + c * x ** S(3) / S(3) + (a * x + c * x ** S(3) / S(3) + d) ** S(6) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b * x + c * x ** S(2)) * ((b * x ** S(2) / S(2) + c * x ** S(3) / S(3)) ** S(5) + S(1)), x, ), x, b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + (b * x ** S(2) / S(2) + c * x ** S(3) / S(3)) ** S(6) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b * x + c * x ** S(2)) * ((b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + d) ** S(5) + S(1)), x, ), x, b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + (b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + d) ** S(6) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ((a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3)) ** S(5) + S(1)) * (a + b * x + c * x ** S(2)), x, ), x, a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + (a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3)) ** S(6) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ((a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + d) ** S(5) + S(1)) * (a + b * x + c * x ** S(2)), x, ), x, a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + (a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + d) ** S(6) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + c * x ** S(2)) * ((a * x + c * x ** S(3) / S(3)) ** n + S(1)), x ), x, a * x + c * x ** S(3) / S(3) + (a * x + c * x ** S(3) / S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b * x + c * x ** S(2)) * ((b * x ** S(2) / S(2) + c * x ** S(3) / S(3)) ** n + S(1)), x, ), x, b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + (b * x ** S(2) / S(2) + c * x ** S(3) / S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ((a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3)) ** n + S(1)) * (a + b * x + c * x ** S(2)), x, ), x, a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3) + (a * x + b * x ** S(2) / S(2) + c * x ** S(3) / S(3)) ** (n + S(1)) / (n + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(2) * c * x) * (b * x + c * x ** S(2)) ** S(13), x), x, (b * x + c * x ** S(2)) ** S(14) / S(14), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(14) * (b + S(2) * c * x ** S(2)) * (b * x + c * x ** S(3)) ** S(13), x, ), x, x ** S(28) * (b + c * x ** S(2)) ** S(14) / S(28), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(28) * (b + S(2) * c * x ** S(3)) * (b * x + c * x ** S(4)) ** S(13), x, ), x, x ** S(42) * (b + c * x ** S(3)) ** S(14) / S(42), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** (S(14) * n + S(-14)) * (b + S(2) * c * x ** n) * (b * x + c * x ** (n + S(1))) ** S(13), x, ), x, x ** (S(14) * n) * (b + c * x ** n) ** S(14) / (S(14) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(2) * c * x) / (b * x + c * x ** S(2)), x), x, log(b * x + c * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(2) * c * x ** S(2)) / (b * x + c * x ** S(3)), x), x, log(x) + log(b + c * x ** S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(2) * c * x ** S(3)) / (b * x + c * x ** S(4)), x), x, log(x) + log(b + c * x ** S(3)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(2) * c * x ** n) / (b * x + c * x ** (n + S(1))), x), x, log(x) + log(b + c * x ** n) / n, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(2) * c * x) / (b * x + c * x ** S(2)) ** S(8), x), x, -S(1) / (S(7) * (b * x + c * x ** S(2)) ** S(7)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b + S(2) * c * x ** S(2)) / (x ** S(7) * (b * x + c * x ** S(3)) ** S(8)), x, ), x, -S(1) / (S(14) * x ** S(14) * (b + c * x ** S(2)) ** S(7)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (b + S(2) * c * x ** S(3)) / (x ** S(14) * (b * x + c * x ** S(4)) ** S(8)), x, ), x, -S(1) / (S(21) * x ** S(21) * (b + c * x ** S(3)) ** S(7)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** (-S(7) * n + S(7)) * (b + S(2) * c * x ** n) / (b * x + c * x ** (n + S(1))) ** S(8), x, ), x, -(x ** (-S(7) * n)) / (S(7) * n * (b + c * x ** n) ** S(7)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((b + S(2) * c * x) * (b * x + c * x ** S(2)) ** p, x), x, (b * x + c * x ** S(2)) ** (p + S(1)) / (p + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** (p + S(1)) * (b + S(2) * c * x ** S(2)) * (b * x + c * x ** S(3)) ** p, x, ), x, x ** (p + S(1)) * (b * x + c * x ** S(3)) ** (p + S(1)) / (S(2) * p + S(2)), expand=True, _diff=True, _numerical=True, ) # fails in mathematica too assert rubi_test(rubi_integrate(b*x**(p + S(1))*(b*x + c*x**S(3))**p + S(2)*c*x**(p + S(3))*(b*x + c*x**S(3))**p, x), x, x**(p + S(1))*(b*x + c*x**S(3))**(p + S(1))/(S(2)*p + S(2)), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate( x ** (S(2) * p + S(2)) * (b + S(2) * c * x ** S(3)) * (b * x + c * x ** S(4)) ** p, x, ), x, x ** (S(2) * p + S(2)) * (b * x + c * x ** S(4)) ** (p + S(1)) / (S(3) * p + S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** ((n + S(-1)) * (p + S(1))) * (b + S(2) * c * x ** n) * (b * x + c * x ** (n + S(1))) ** p, x, ), x, x ** (-(-n + S(1)) * (p + S(1))) * (b * x + c * x ** (n + S(1))) ** (p + S(1)) / (n * (p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(4) * x + S(-4)) * (x ** S(3) + S(6) * x ** S(2) - S(12) * x + S(5)), x, ), x, (x ** S(3) + S(6) * x ** S(2) - S(12) * x + S(5)) ** S(2) / S(6), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + S(2) * x) * (x ** S(4) + S(4) * x ** S(2) + S(1)), x ), x, (x ** S(4) + S(4) * x ** S(2) + S(1)) ** S(2) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x + S(1)) * (x ** S(2) + x) ** S(3) * (S(7) * (x ** S(2) + x) ** S(3) + S(-18)) ** S(2), x, ), x, S(49) * x ** S(10) * (x + S(1)) ** S(10) / S(10) - S(36) * x ** S(7) * (x + S(1)) ** S(7) + S(81) * x ** S(4) * (x + S(1)) ** S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (x + S(1)) ** S(3) * (S(2) * x + S(1)) * (S(7) * x ** S(3) * (x + S(1)) ** S(3) + S(-18)) ** S(2), x, ), x, S(49) * x ** S(10) * (x + S(1)) ** S(10) / S(10) - S(36) * x ** S(7) * (x + S(1)) ** S(7) + S(81) * x ** S(4) * (x + S(1)) ** S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(2)) + S(2)) / (x ** S(3) - S(6) * x + S(1)) ** S(5), x ), x, S(1) / (S(12) * (x ** S(3) - S(6) * x + S(1)) ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(2) * x) / (x ** S(3) + S(3) * x ** S(2) + S(4)), x ), x, log(x ** S(3) + S(3) * x ** S(2) + S(4)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + x + S(1)) / (x ** S(4) + S(2) * x ** S(2) + S(4) * x), x ), x, log(x * (x ** S(3) + S(2) * x + S(4))) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(-1)) / (x ** S(4) - S(4) * x) ** (S(2) / 3), x), x, S(3) * (x ** S(4) - S(4) * x) ** (S(1) / 3) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(2)) + S(2)) * (-(x ** S(3)) + S(6) * x) ** (S(1) / 4), x ), x, S(4) * (-(x ** S(3)) + S(6) * x) ** (S(5) / 4) / S(15), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(4) + S(1)) * sqrt(x ** S(5) + S(5) * x), x), x, S(2) * (x ** S(5) + S(5) * x) ** (S(3) / 2) / S(15), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(5) * x ** S(4) + S(2)) * sqrt(x ** S(5) + S(2) * x), x), x, S(2) * (x ** S(5) + S(2) * x) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(3) * x ** S(2) + x) / sqrt(S(2) * x ** S(3) + x ** S(2)), x), x, sqrt(S(2) * x ** S(3) + x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ((-S(5) * x + S(1)) ** (S(1) / 3) + S(2)) / ((-S(5) * x + S(1)) ** (S(1) / 3) + S(3)), x, ), x, x + S(3) * (-S(5) * x + S(1)) ** (S(2) / 3) / S(10) - S(9) * (-S(5) * x + S(1)) ** (S(1) / 3) / S(5) + S(27) * log((-S(5) * x + S(1)) ** (S(1) / 3) + S(3)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(x) + S(1)) / (sqrt(x) + S(-1)), x), x, S(4) * sqrt(x) + x + S(4) * log(-sqrt(x) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-sqrt(S(3) * x + S(2)) + S(1)) / (sqrt(S(3) * x + S(2)) + S(1)), x ), x, -x + S(4) * sqrt(S(3) * x + S(2)) / S(3) - S(4) * log(sqrt(S(3) * x + S(2)) + S(1)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((sqrt(a + b * x) + S(-1)) / (sqrt(a + b * x) + S(1)), x), x, x - S(4) * sqrt(a + b * x) / b + S(4) * log(sqrt(a + b * x) + S(1)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * n * x ** (n + S(-1))) / (a * x + b * x ** n), x), x, log(a * x + b * x ** n), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate((a + b * n * x ** (n + S(-1))) / (a * x + b * x ** n), x), x, n * log(x) + log(a * x ** (-n + S(1)) + b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** (-n) * (a + b * n * x ** (n + S(-1))) / (a * x ** (-n + S(1)) + b), x ), x, n * log(x) + log(a * x ** (-n + S(1)) + b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (a + b * (c + d * x) ** S(3)), x), x, -c * log(a + b * (c + d * x) ** S(3)) / (b * d ** S(4)) + x / (b * d ** S(3)) + sqrt(S(3)) * (-S(3) * a ** (S(1) / 3) * b ** (S(2) / 3) * c ** S(2) + a + b * c ** S(3)) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * b ** (S(4) / 3) * d ** S(4)) - (S(3) * a ** (S(1) / 3) * b ** (S(2) / 3) * c ** S(2) + a + b * c ** S(3)) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(2) / 3) * b ** (S(4) / 3) * d ** S(4)) + (S(3) * a ** (S(1) / 3) * b ** (S(2) / 3) * c ** S(2) + a + b * c ** S(3)) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c + d * x) + b ** (S(2) / 3) * (c + d * x) ** S(2) ) / (S(6) * a ** (S(2) / 3) * b ** (S(4) / 3) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (a + b * (c + d * x) ** S(3)), x), x, log(a + b * (c + d * x) ** S(3)) / (S(3) * b * d ** S(3)) + sqrt(S(3)) * c * (S(2) * a ** (S(1) / 3) - b ** (S(1) / 3) * c) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * b ** (S(2) / 3) * d ** S(3)) + c * (S(2) * a ** (S(1) / 3) + b ** (S(1) / 3) * c) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(2) / 3) * b ** (S(2) / 3) * d ** S(3)) - c * (S(2) * a ** (S(1) / 3) + b ** (S(1) / 3) * c) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c + d * x) + b ** (S(2) / 3) * (c + d * x) ** S(2) ) / (S(6) * a ** (S(2) / 3) * b ** (S(2) / 3) * d ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (a + b * (c + d * x) ** S(3)), x), x, -sqrt(S(3)) * (a ** (S(1) / 3) - b ** (S(1) / 3) * c) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * b ** (S(2) / 3) * d ** S(2)) - (a ** (S(1) / 3) + b ** (S(1) / 3) * c) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(2) / 3) * b ** (S(2) / 3) * d ** S(2)) + (a ** (S(1) / 3) + b ** (S(1) / 3) * c) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c + d * x) + b ** (S(2) / 3) * (c + d * x) ** S(2) ) / (S(6) * a ** (S(2) / 3) * b ** (S(2) / 3) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * (c + d * x) ** S(3)), x), x, log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(2) / 3) * b ** (S(1) / 3) * d) - log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c + d * x) + b ** (S(2) / 3) * (c + d * x) ** S(2) ) / (S(6) * a ** (S(2) / 3) * b ** (S(1) / 3) * d) - sqrt(S(3)) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * b ** (S(1) / 3) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (a + b * (c + d * x) ** S(3))), x), x, log(x) / (a + b * c ** S(3)) + sqrt(S(3)) * b ** (S(1) / 3) * c * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(1) / 3)) ) / ( S(3) * a ** (S(2) / 3) * ( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * c + b ** (S(2) / 3) * c ** S(2) ) ) - (S(2) * a ** (S(1) / 3) - b ** (S(1) / 3) * c) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c + d * x) + b ** (S(2) / 3) * (c + d * x) ** S(2) ) / ( S(6) * a ** (S(2) / 3) * ( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * c + b ** (S(2) / 3) * c ** S(2) ) ) - log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(2) / 3) * (a ** (S(1) / 3) + b ** (S(1) / 3) * c)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(S(1) / (x * (a + b * (c + d * x) ** S(3))), x), x, -log(a + b * (c + d * x) ** S(3)) / (S(3) * a + S(3) * b * c ** S(3)) + log(x) / (a + b * c ** S(3)) + b ** (S(1) / 3) * c * (a ** (S(1) / 3) - b ** (S(1) / 3) * c) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(2) / 3) * (a + b * c ** S(3))) - b ** (S(1) / 3) * c * (a ** (S(1) / 3) - b ** (S(1) / 3) * c) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c + d * x) + b ** (S(2) / 3) * (c + d * x) ** S(2) ) / (S(6) * a ** (S(2) / 3) * (a + b * c ** S(3))) + sqrt(S(3)) * b ** (S(1) / 3) * c * (a ** (S(1) / 3) + b ** (S(1) / 3) * c) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * (a + b * c ** S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (a + b * (c + d * x) ** S(3))), x), x, -S(3) * b * c ** S(2) * d * log(x) / (a + b * c ** S(3)) ** S(2) + b * c ** S(2) * d * log(a + b * (c + d * x) ** S(3)) / (a + b * c ** S(3)) ** S(2) - S(1) / (x * (a + b * c ** S(3))) + sqrt(S(3)) * b ** (S(1) / 3) * d * (a ** (S(1) / 3) - b ** (S(1) / 3) * c) * (a ** (S(1) / 3) + b ** (S(1) / 3) * c) ** S(3) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * (a + b * c ** S(3)) ** S(2)) + b ** (S(1) / 3) * d * ( a ** (S(1) / 3) * (a - S(2) * b * c ** S(3)) - b ** (S(1) / 3) * (S(2) * a * c - b * c ** S(4)) ) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(2) / 3) * (a + b * c ** S(3)) ** S(2)) - b ** (S(1) / 3) * d * ( a ** (S(1) / 3) * (a - S(2) * b * c ** S(3)) - b ** (S(1) / 3) * (S(2) * a * c - b * c ** S(4)) ) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c + d * x) + b ** (S(2) / 3) * (c + d * x) ** S(2) ) / (S(6) * a ** (S(2) / 3) * (a + b * c ** S(3)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * (a + b * (c + d * x) ** S(3))), x), x, S(3) * b * c ** S(2) * d / (x * (a + b * c ** S(3)) ** S(2)) - S(3) * b * c * d ** S(2) * (a - S(2) * b * c ** S(3)) * log(x) / (a + b * c ** S(3)) ** S(3) + b * c * d ** S(2) * (a - S(2) * b * c ** S(3)) * log(a + b * (c + d * x) ** S(3)) / (a + b * c ** S(3)) ** S(3) - S(1) / (x ** S(2) * (S(2) * a + S(2) * b * c ** S(3))) + sqrt(S(3)) * b ** (S(2) / 3) * d ** S(2) * (a ** (S(1) / 3) + b ** (S(1) / 3) * c) ** S(3) * (-S(3) * a ** (S(2) / 3) * b ** (S(1) / 3) * c + a + b * c ** S(3)) * atan( sqrt(S(3)) * (a ** (S(1) / 3) - S(2) * b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(1) / 3)) ) / (S(3) * a ** (S(2) / 3) * (a + b * c ** S(3)) ** S(3)) - b ** (S(2) / 3) * d ** S(2) * ( S(6) * a ** (S(4) / 3) * b ** (S(2) / 3) * c ** S(2) - S(3) * a ** (S(1) / 3) * b ** (S(5) / 3) * c ** S(5) + a ** S(2) - S(7) * a * b * c ** S(3) + b ** S(2) * c ** S(6) ) * log(a ** (S(1) / 3) + b ** (S(1) / 3) * (c + d * x)) / (S(3) * a ** (S(2) / 3) * (a + b * c ** S(3)) ** S(3)) + b ** (S(2) / 3) * d ** S(2) * ( S(6) * a ** (S(4) / 3) * b ** (S(2) / 3) * c ** S(2) - S(3) * a ** (S(1) / 3) * b ** (S(5) / 3) * c ** S(5) + a ** S(2) - S(7) * a * b * c ** S(3) + b ** S(2) * c ** S(6) ) * log( a ** (S(2) / 3) - a ** (S(1) / 3) * b ** (S(1) / 3) * (c + d * x) + b ** (S(2) / 3) * (c + d * x) ** S(2) ) / (S(6) * a ** (S(2) / 3) * (a + b * c ** S(3)) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (a + b * (c + d * x) ** S(4)), x), x, log(a + b * (c + d * x) ** S(4)) / (S(4) * b * d ** S(4)) + S(3) * c ** S(2) * atan(sqrt(b) * (c + d * x) ** S(2) / sqrt(a)) / (S(2) * sqrt(a) * sqrt(b) * d ** S(4)) - sqrt(S(2)) * c * (S(3) * sqrt(a) - sqrt(b) * c ** S(2)) * log( -sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * b ** (S(3) / 4) * d ** S(4)) + sqrt(S(2)) * c * (S(3) * sqrt(a) - sqrt(b) * c ** S(2)) * log( sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * b ** (S(3) / 4) * d ** S(4)) + sqrt(S(2)) * c * (S(3) * sqrt(a) + sqrt(b) * c ** S(2)) * atan(S(1) - sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * b ** (S(3) / 4) * d ** S(4)) - sqrt(S(2)) * c * (S(3) * sqrt(a) + sqrt(b) * c ** S(2)) * atan(S(1) + sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * b ** (S(3) / 4) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (a + b * (c + d * x) ** S(4)), x), x, -c * atan(sqrt(b) * (c + d * x) ** S(2) / sqrt(a)) / (sqrt(a) * sqrt(b) * d ** S(3)) + sqrt(S(2)) * (sqrt(a) - sqrt(b) * c ** S(2)) * log( -sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * b ** (S(3) / 4) * d ** S(3)) - sqrt(S(2)) * (sqrt(a) - sqrt(b) * c ** S(2)) * log( sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * b ** (S(3) / 4) * d ** S(3)) - sqrt(S(2)) * (sqrt(a) + sqrt(b) * c ** S(2)) * atan(S(1) - sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * b ** (S(3) / 4) * d ** S(3)) + sqrt(S(2)) * (sqrt(a) + sqrt(b) * c ** S(2)) * atan(S(1) + sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * b ** (S(3) / 4) * d ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (a + b * (c + d * x) ** S(4)), x), x, atan(sqrt(b) * (c + d * x) ** S(2) / sqrt(a)) / (S(2) * sqrt(a) * sqrt(b) * d ** S(2)) + sqrt(S(2)) * c * log( -sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * b ** (S(1) / 4) * d ** S(2)) - sqrt(S(2)) * c * log( sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * b ** (S(1) / 4) * d ** S(2)) + sqrt(S(2)) * c * atan(S(1) - sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * b ** (S(1) / 4) * d ** S(2)) - sqrt(S(2)) * c * atan(S(1) + sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * b ** (S(1) / 4) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * (c + d * x) ** S(4)), x), x, -sqrt(S(2)) * log( -sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * b ** (S(1) / 4) * d) + sqrt(S(2)) * log( sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * b ** (S(1) / 4) * d) - sqrt(S(2)) * atan(S(1) - sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * b ** (S(1) / 4) * d) + sqrt(S(2)) * atan(S(1) + sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * b ** (S(1) / 4) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (a + b * (c + d * x) ** S(4))), x), x, -log(a + b * (c + d * x) ** S(4)) / (S(4) * a + S(4) * b * c ** S(4)) + log(x) / (a + b * c ** S(4)) - sqrt(b) * c ** S(2) * atan(sqrt(b) * (c + d * x) ** S(2) / sqrt(a)) / (S(2) * sqrt(a) * (a + b * c ** S(4))) - sqrt(S(2)) * b ** (S(1) / 4) * c * (sqrt(a) - sqrt(b) * c ** S(2)) * log( -sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * (a + b * c ** S(4))) + sqrt(S(2)) * b ** (S(1) / 4) * c * (sqrt(a) - sqrt(b) * c ** S(2)) * log( sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * (a + b * c ** S(4))) + sqrt(S(2)) * b ** (S(1) / 4) * c * (sqrt(a) + sqrt(b) * c ** S(2)) * atan(S(1) - sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * (a + b * c ** S(4))) - sqrt(S(2)) * b ** (S(1) / 4) * c * (sqrt(a) + sqrt(b) * c ** S(2)) * atan(S(1) + sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * (a + b * c ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (a + b * (c + d * x) ** S(4))), x), x, -S(4) * b * c ** S(3) * d * log(x) / (a + b * c ** S(4)) ** S(2) + b * c ** S(3) * d * log(a + b * (c + d * x) ** S(4)) / (a + b * c ** S(4)) ** S(2) - S(1) / (x * (a + b * c ** S(4))) - sqrt(b) * c * d * (a - b * c ** S(4)) * atan(sqrt(b) * (c + d * x) ** S(2) / sqrt(a)) / (sqrt(a) * (a + b * c ** S(4)) ** S(2)) + sqrt(S(2)) * b ** (S(1) / 4) * d * ( sqrt(a) * (a - S(3) * b * c ** S(4)) + sqrt(b) * c ** S(2) * (S(3) * a - b * c ** S(4)) ) * atan(S(1) - sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * (a + b * c ** S(4)) ** S(2)) - sqrt(S(2)) * b ** (S(1) / 4) * d * ( sqrt(a) * (a - S(3) * b * c ** S(4)) + sqrt(b) * c ** S(2) * (S(3) * a - b * c ** S(4)) ) * atan(S(1) + sqrt(S(2)) * b ** (S(1) / 4) * (c + d * x) / a ** (S(1) / 4)) / (S(4) * a ** (S(3) / 4) * (a + b * c ** S(4)) ** S(2)) - sqrt(S(2)) * b ** (S(1) / 4) * d * ( a ** (S(3) / 2) - S(3) * sqrt(a) * b * c ** S(4) - S(3) * a * sqrt(b) * c ** S(2) + b ** (S(3) / 2) * c ** S(6) ) * log( -sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * (a + b * c ** S(4)) ** S(2)) + sqrt(S(2)) * b ** (S(1) / 4) * d * ( a ** (S(3) / 2) - S(3) * sqrt(a) * b * c ** S(4) - S(3) * a * sqrt(b) * c ** S(2) + b ** (S(3) / 2) * c ** S(6) ) * log( sqrt(S(2)) * a ** (S(1) / 4) * b ** (S(1) / 4) * (c + d * x) + sqrt(a) + sqrt(b) * (c + d * x) ** S(2) ) / (S(8) * a ** (S(3) / 4) * (a + b * c ** S(4)) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * sqrt(c + d * x)) ** S(2), x), x, -(a ** S(2)) * c ** S(3) * x / d ** S(3) - S(4) * a * b * c ** S(3) * (c + d * x) ** (S(3) / 2) / (S(3) * d ** S(4)) + S(12) * a * b * c ** S(2) * (c + d * x) ** (S(5) / 2) / (S(5) * d ** S(4)) - S(12) * a * b * c * (c + d * x) ** (S(7) / 2) / (S(7) * d ** S(4)) + S(4) * a * b * (c + d * x) ** (S(9) / 2) / (S(9) * d ** S(4)) + b ** S(2) * (c + d * x) ** S(5) / (S(5) * d ** S(4)) + c ** S(2) * (S(3) * a ** S(2) - b ** S(2) * c) * (c + d * x) ** S(2) / (S(2) * d ** S(4)) - c * (a ** S(2) - b ** S(2) * c) * (c + d * x) ** S(3) / d ** S(4) + (a ** S(2) - S(3) * b ** S(2) * c) * (c + d * x) ** S(4) / (S(4) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * sqrt(c + d * x)) ** S(2), x), x, a ** S(2) * c ** S(2) * x / d ** S(2) + S(4) * a * b * c ** S(2) * (c + d * x) ** (S(3) / 2) / (S(3) * d ** S(3)) - S(8) * a * b * c * (c + d * x) ** (S(5) / 2) / (S(5) * d ** S(3)) + S(4) * a * b * (c + d * x) ** (S(7) / 2) / (S(7) * d ** S(3)) + b ** S(2) * (c + d * x) ** S(4) / (S(4) * d ** S(3)) - c * (S(2) * a ** S(2) - b ** S(2) * c) * (c + d * x) ** S(2) / (S(2) * d ** S(3)) + (a ** S(2) - S(2) * b ** S(2) * c) * (c + d * x) ** S(3) / (S(3) * d ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * sqrt(c + d * x)) ** S(2), x), x, -(a ** S(2)) * c * x / d - S(4) * a * b * c * (c + d * x) ** (S(3) / 2) / (S(3) * d ** S(2)) + S(4) * a * b * (c + d * x) ** (S(5) / 2) / (S(5) * d ** S(2)) + b ** S(2) * (c + d * x) ** S(3) / (S(3) * d ** S(2)) + (a ** S(2) - b ** S(2) * c) * (c + d * x) ** S(2) / (S(2) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * sqrt(c + d * x)) ** S(2), x), x, a ** S(2) * x + S(4) * a * b * (c + d * x) ** (S(3) / 2) / (S(3) * d) + b ** S(2) * (c + d * x) ** S(2) / (S(2) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * sqrt(c + d * x)) ** S(2) / x, x), x, -S(4) * a * b * sqrt(c) * atanh(sqrt(c + d * x) / sqrt(c)) + S(4) * a * b * sqrt(c + d * x) + b ** S(2) * d * x + (a ** S(2) + b ** S(2) * c) * log(x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * sqrt(c + d * x)) ** S(2) / x ** S(2), x), x, -S(2) * a * b * d * atanh(sqrt(c + d * x) / sqrt(c)) / sqrt(c) + b ** S(2) * d * log(x) - (a + b * sqrt(c + d * x)) ** S(2) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * sqrt(c + d * x)) ** S(2) / x ** S(3), x), x, a * b * d ** S(2) * atanh(sqrt(c + d * x) / sqrt(c)) / (S(2) * c ** (S(3) / 2)) - b * d * (a * sqrt(c + d * x) + b * c) / (S(2) * c * x) - (a + b * sqrt(c + d * x)) ** S(2) / (S(2) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * sqrt(a + b * sqrt(c + d * x)), x), x, -S(28) * a * (a + b * sqrt(c + d * x)) ** (S(15) / 2) / (S(15) * b ** S(8) * d ** S(4)) - S(20) * a * (a + b * sqrt(c + d * x)) ** (S(11) / 2) * (S(7) * a ** S(2) - S(3) * b ** S(2) * c) / (S(11) * b ** S(8) * d ** S(4)) - S(12) * a * (a + b * sqrt(c + d * x)) ** (S(7) / 2) * (a ** S(2) - b ** S(2) * c) * (S(7) * a ** S(2) - S(3) * b ** S(2) * c) / (S(7) * b ** S(8) * d ** S(4)) - S(4) * a * (a + b * sqrt(c + d * x)) ** (S(3) / 2) * (a ** S(2) - b ** S(2) * c) ** S(3) / (S(3) * b ** S(8) * d ** S(4)) + S(4) * (a + b * sqrt(c + d * x)) ** (S(17) / 2) / (S(17) * b ** S(8) * d ** S(4)) + (a + b * sqrt(c + d * x)) ** (S(13) / 2) * (S(84) * a ** S(2) - S(12) * b ** S(2) * c) / (S(13) * b ** S(8) * d ** S(4)) + (a + b * sqrt(c + d * x)) ** (S(9) / 2) * ( S(140) * a ** S(4) - S(120) * a ** S(2) * b ** S(2) * c + S(12) * b ** S(4) * c ** S(2) ) / (S(9) * b ** S(8) * d ** S(4)) + S(4) * (a + b * sqrt(c + d * x)) ** (S(5) / 2) * (a ** S(2) - b ** S(2) * c) ** S(2) * (S(7) * a ** S(2) - b ** S(2) * c) / (S(5) * b ** S(8) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt(a + b * sqrt(c + d * x)), x), x, -S(20) * a * (a + b * sqrt(c + d * x)) ** (S(11) / 2) / (S(11) * b ** S(6) * d ** S(3)) - S(8) * a * (a + b * sqrt(c + d * x)) ** (S(7) / 2) * (S(5) * a ** S(2) - S(3) * b ** S(2) * c) / (S(7) * b ** S(6) * d ** S(3)) - S(4) * a * (a + b * sqrt(c + d * x)) ** (S(3) / 2) * (a ** S(2) - b ** S(2) * c) ** S(2) / (S(3) * b ** S(6) * d ** S(3)) + S(4) * (a + b * sqrt(c + d * x)) ** (S(13) / 2) / (S(13) * b ** S(6) * d ** S(3)) + (a + b * sqrt(c + d * x)) ** (S(9) / 2) * (S(40) * a ** S(2) - S(8) * b ** S(2) * c) / (S(9) * b ** S(6) * d ** S(3)) + (a + b * sqrt(c + d * x)) ** (S(5) / 2) * ( S(20) * a ** S(4) - S(24) * a ** S(2) * b ** S(2) * c + S(4) * b ** S(4) * c ** S(2) ) / (S(5) * b ** S(6) * d ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(a + b * sqrt(c + d * x)), x), x, -S(12) * a * (a + b * sqrt(c + d * x)) ** (S(7) / 2) / (S(7) * b ** S(4) * d ** S(2)) - S(4) * a * (a + b * sqrt(c + d * x)) ** (S(3) / 2) * (a ** S(2) - b ** S(2) * c) / (S(3) * b ** S(4) * d ** S(2)) + S(4) * (a + b * sqrt(c + d * x)) ** (S(9) / 2) / (S(9) * b ** S(4) * d ** S(2)) + (a + b * sqrt(c + d * x)) ** (S(5) / 2) * (S(12) * a ** S(2) - S(4) * b ** S(2) * c) / (S(5) * b ** S(4) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c + d * x)), x), x, -S(4) * a * (a + b * sqrt(c + d * x)) ** (S(3) / 2) / (S(3) * b ** S(2) * d) + S(4) * (a + b * sqrt(c + d * x)) ** (S(5) / 2) / (S(5) * b ** S(2) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c + d * x)) / x, x), x, -S(2) * sqrt(a - b * sqrt(c)) * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a - b * sqrt(c))) - S(2) * sqrt(a + b * sqrt(c)) * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a + b * sqrt(c))) + S(4) * sqrt(a + b * sqrt(c + d * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c + d * x)) / x ** S(2), x), x, -b * d * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a + b * sqrt(c))) / (S(2) * sqrt(c) * sqrt(a + b * sqrt(c))) + b * d * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a - b * sqrt(c))) / (S(2) * sqrt(c) * sqrt(a - b * sqrt(c))) - sqrt(a + b * sqrt(c + d * x)) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c + d * x)) / x ** S(3), x), x, b * d * sqrt(a + b * sqrt(c + d * x)) * (-a * sqrt(c + d * x) + b * c) / (S(8) * c * x * (a ** S(2) - b ** S(2) * c)) + b * d ** S(2) * (S(2) * a + S(3) * b * sqrt(c)) * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a + b * sqrt(c))) / (S(16) * c ** (S(3) / 2) * (a + b * sqrt(c)) ** (S(3) / 2)) - b * d ** S(2) * (S(2) * a - S(3) * b * sqrt(c)) * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a - b * sqrt(c))) / (S(16) * c ** (S(3) / 2) * (a - b * sqrt(c)) ** (S(3) / 2)) - sqrt(a + b * sqrt(c + d * x)) / (S(2) * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (a + b * sqrt(c + d * x)), x), x, -a * (c + d * x) ** S(3) / (S(3) * b ** S(2) * d ** S(4)) - a * (a ** S(2) - S(3) * b ** S(2) * c) * (c + d * x) ** S(2) / (S(2) * b ** S(4) * d ** S(4)) - a * x * (a ** S(4) - S(3) * a ** S(2) * b ** S(2) * c + S(3) * b ** S(4) * c ** S(2)) / (b ** S(6) * d ** S(3)) - S(2) * a * (a ** S(2) - b ** S(2) * c) ** S(3) * log(a + b * sqrt(c + d * x)) / (b ** S(8) * d ** S(4)) + S(2) * (c + d * x) ** (S(7) / 2) / (S(7) * b * d ** S(4)) + (S(2) * a ** S(2) - S(6) * b ** S(2) * c) * (c + d * x) ** (S(5) / 2) / (S(5) * b ** S(3) * d ** S(4)) + (c + d * x) ** (S(3) / 2) * ( S(2) * a ** S(4) - S(6) * a ** S(2) * b ** S(2) * c + S(6) * b ** S(4) * c ** S(2) ) / (S(3) * b ** S(5) * d ** S(4)) + S(2) * (a ** S(2) - b ** S(2) * c) ** S(3) * sqrt(c + d * x) / (b ** S(7) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (a + b * sqrt(c + d * x)), x), x, -a * (c + d * x) ** S(2) / (S(2) * b ** S(2) * d ** S(3)) - a * x * (a ** S(2) - S(2) * b ** S(2) * c) / (b ** S(4) * d ** S(2)) - S(2) * a * (a ** S(2) - b ** S(2) * c) ** S(2) * log(a + b * sqrt(c + d * x)) / (b ** S(6) * d ** S(3)) + S(2) * (c + d * x) ** (S(5) / 2) / (S(5) * b * d ** S(3)) + (S(2) * a ** S(2) - S(4) * b ** S(2) * c) * (c + d * x) ** (S(3) / 2) / (S(3) * b ** S(3) * d ** S(3)) + S(2) * (a ** S(2) - b ** S(2) * c) ** S(2) * sqrt(c + d * x) / (b ** S(5) * d ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (a + b * sqrt(c + d * x)), x), x, -a * x / (b ** S(2) * d) - S(2) * a * (a ** S(2) - b ** S(2) * c) * log(a + b * sqrt(c + d * x)) / (b ** S(4) * d ** S(2)) + S(2) * (c + d * x) ** (S(3) / 2) / (S(3) * b * d ** S(2)) + (S(2) * a ** S(2) - S(2) * b ** S(2) * c) * sqrt(c + d * x) / (b ** S(3) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (a + b * sqrt(c + d * x)), x), x, -S(2) * a * log(a + b * sqrt(c + d * x)) / (b ** S(2) * d) + S(2) * sqrt(c + d * x) / (b * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (a + b * sqrt(c + d * x))), x), x, a * log(x) / (a ** S(2) - b ** S(2) * c) - S(2) * a * log(a + b * sqrt(c + d * x)) / (a ** S(2) - b ** S(2) * c) + S(2) * b * sqrt(c) * atanh(sqrt(c + d * x) / sqrt(c)) / (a ** S(2) - b ** S(2) * c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (a + b * sqrt(c + d * x))), x), x, a * b ** S(2) * d * log(x) / (a ** S(2) - b ** S(2) * c) ** S(2) - S(2) * a * b ** S(2) * d * log(a + b * sqrt(c + d * x)) / (a ** S(2) - b ** S(2) * c) ** S(2) + b * d * (a ** S(2) + b ** S(2) * c) * atanh(sqrt(c + d * x) / sqrt(c)) / (sqrt(c) * (a ** S(2) - b ** S(2) * c) ** S(2)) - (a - b * sqrt(c + d * x)) / (x * (a ** S(2) - b ** S(2) * c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * (a + b * sqrt(c + d * x))), x), x, a * b ** S(4) * d ** S(2) * log(x) / (a ** S(2) - b ** S(2) * c) ** S(3) - S(2) * a * b ** S(4) * d ** S(2) * log(a + b * sqrt(c + d * x)) / (a ** S(2) - b ** S(2) * c) ** S(3) - b * d * (S(4) * a * b * c - (a ** S(2) + S(3) * b ** S(2) * c) * sqrt(c + d * x)) / (S(4) * c * x * (a ** S(2) - b ** S(2) * c) ** S(2)) - b * d ** S(2) * (a ** S(4) - S(6) * a ** S(2) * b ** S(2) * c - S(3) * b ** S(4) * c ** S(2)) * atanh(sqrt(c + d * x) / sqrt(c)) / (S(4) * c ** (S(3) / 2) * (a ** S(2) - b ** S(2) * c) ** S(3)) - (a - b * sqrt(c + d * x)) / (x ** S(2) * (S(2) * a ** S(2) - S(2) * b ** S(2) * c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / (a + b * sqrt(c + d * x)) ** S(2), x), x, -S(4) * a * (c + d * x) ** (S(5) / 2) / (S(5) * b ** S(3) * d ** S(4)) - S(4) * a * (S(2) * a ** S(2) - S(3) * b ** S(2) * c) * (c + d * x) ** (S(3) / 2) / (S(3) * b ** S(5) * d ** S(4)) - S(12) * a * (a ** S(2) - b ** S(2) * c) ** S(2) * sqrt(c + d * x) / (b ** S(7) * d ** S(4)) + S(2) * a * (a ** S(2) - b ** S(2) * c) ** S(3) / (b ** S(8) * d ** S(4) * (a + b * sqrt(c + d * x))) + (c + d * x) ** S(3) / (S(3) * b ** S(2) * d ** S(4)) + (S(3) * a ** S(2) - S(3) * b ** S(2) * c) * (c + d * x) ** S(2) / (S(2) * b ** S(4) * d ** S(4)) + x * ( S(5) * a ** S(4) - S(9) * a ** S(2) * b ** S(2) * c + S(3) * b ** S(4) * c ** S(2) ) / (b ** S(6) * d ** S(3)) + S(2) * (a ** S(2) - b ** S(2) * c) ** S(2) * (S(7) * a ** S(2) - b ** S(2) * c) * log(a + b * sqrt(c + d * x)) / (b ** S(8) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / (a + b * sqrt(c + d * x)) ** S(2), x), x, -S(4) * a * (c + d * x) ** (S(3) / 2) / (S(3) * b ** S(3) * d ** S(3)) - S(8) * a * (a ** S(2) - b ** S(2) * c) * sqrt(c + d * x) / (b ** S(5) * d ** S(3)) + S(2) * a * (a ** S(2) - b ** S(2) * c) ** S(2) / (b ** S(6) * d ** S(3) * (a + b * sqrt(c + d * x))) + (c + d * x) ** S(2) / (S(2) * b ** S(2) * d ** S(3)) + x * (S(3) * a ** S(2) - S(2) * b ** S(2) * c) / (b ** S(4) * d ** S(2)) + ( S(10) * a ** S(4) - S(12) * a ** S(2) * b ** S(2) * c + S(2) * b ** S(4) * c ** S(2) ) * log(a + b * sqrt(c + d * x)) / (b ** S(6) * d ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (a + b * sqrt(c + d * x)) ** S(2), x), x, -S(4) * a * sqrt(c + d * x) / (b ** S(3) * d ** S(2)) + S(2) * a * (a ** S(2) - b ** S(2) * c) / (b ** S(4) * d ** S(2) * (a + b * sqrt(c + d * x))) + x / (b ** S(2) * d) + (S(6) * a ** S(2) - S(2) * b ** S(2) * c) * log(a + b * sqrt(c + d * x)) / (b ** S(4) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * sqrt(c + d * x)) ** (S(-2)), x), x, S(2) * a / (b ** S(2) * d * (a + b * sqrt(c + d * x))) + S(2) * log(a + b * sqrt(c + d * x)) / (b ** S(2) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (a + b * sqrt(c + d * x)) ** S(2)), x), x, S(4) * a * b * sqrt(c) * atanh(sqrt(c + d * x) / sqrt(c)) / (a ** S(2) - b ** S(2) * c) ** S(2) + S(2) * a / ((a + b * sqrt(c + d * x)) * (a ** S(2) - b ** S(2) * c)) + (a ** S(2) + b ** S(2) * c) * log(x) / (a ** S(2) - b ** S(2) * c) ** S(2) - (S(2) * a ** S(2) + S(2) * b ** S(2) * c) * log(a + b * sqrt(c + d * x)) / (a ** S(2) - b ** S(2) * c) ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * (a + b * sqrt(c + d * x)) ** S(2)), x), x, S(4) * a * b ** S(2) * d / ((a + b * sqrt(c + d * x)) * (a ** S(2) - b ** S(2) * c) ** S(2)) + S(2) * a * b * d * (a ** S(2) + S(3) * b ** S(2) * c) * atanh(sqrt(c + d * x) / sqrt(c)) / (sqrt(c) * (a ** S(2) - b ** S(2) * c) ** S(3)) + b ** S(2) * d * (S(3) * a ** S(2) + b ** S(2) * c) * log(x) / (a ** S(2) - b ** S(2) * c) ** S(3) - S(2) * b ** S(2) * d * (S(3) * a ** S(2) + b ** S(2) * c) * log(a + b * sqrt(c + d * x)) / (a ** S(2) - b ** S(2) * c) ** S(3) - (a - b * sqrt(c + d * x)) / (x * (a + b * sqrt(c + d * x)) * (a ** S(2) - b ** S(2) * c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * (a + b * sqrt(c + d * x)) ** S(2)), x), x, a * b ** S(2) * d ** S(2) * (a ** S(2) + S(11) * b ** S(2) * c) / (S(2) * c * (a + b * sqrt(c + d * x)) * (a ** S(2) - b ** S(2) * c) ** S(3)) - a * b * d ** S(2) * ( a ** S(4) - S(10) * a ** S(2) * b ** S(2) * c - S(15) * b ** S(4) * c ** S(2) ) * atanh(sqrt(c + d * x) / sqrt(c)) / (S(2) * c ** (S(3) / 2) * (a ** S(2) - b ** S(2) * c) ** S(4)) + b ** S(4) * d ** S(2) * (S(5) * a ** S(2) + b ** S(2) * c) * log(x) / (a ** S(2) - b ** S(2) * c) ** S(4) - S(2) * b ** S(4) * d ** S(2) * (S(5) * a ** S(2) + b ** S(2) * c) * log(a + b * sqrt(c + d * x)) / (a ** S(2) - b ** S(2) * c) ** S(4) - b * d * (S(3) * a * b * c - (a ** S(2) + S(2) * b ** S(2) * c) * sqrt(c + d * x)) / ( S(2) * c * x * (a + b * sqrt(c + d * x)) * (a ** S(2) - b ** S(2) * c) ** S(2) ) - (a - b * sqrt(c + d * x)) / ( x ** S(2) * (a + b * sqrt(c + d * x)) * (S(2) * a ** S(2) - S(2) * b ** S(2) * c) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) / sqrt(a + b * sqrt(c + d * x)), x), x, -S(28) * a * (a + b * sqrt(c + d * x)) ** (S(13) / 2) / (S(13) * b ** S(8) * d ** S(4)) - S(20) * a * (a + b * sqrt(c + d * x)) ** (S(9) / 2) * (S(7) * a ** S(2) - S(3) * b ** S(2) * c) / (S(9) * b ** S(8) * d ** S(4)) - S(12) * a * (a + b * sqrt(c + d * x)) ** (S(5) / 2) * (a ** S(2) - b ** S(2) * c) * (S(7) * a ** S(2) - S(3) * b ** S(2) * c) / (S(5) * b ** S(8) * d ** S(4)) - S(4) * a * sqrt(a + b * sqrt(c + d * x)) * (a ** S(2) - b ** S(2) * c) ** S(3) / (b ** S(8) * d ** S(4)) + S(4) * (a + b * sqrt(c + d * x)) ** (S(15) / 2) / (S(15) * b ** S(8) * d ** S(4)) + (a + b * sqrt(c + d * x)) ** (S(11) / 2) * (S(84) * a ** S(2) - S(12) * b ** S(2) * c) / (S(11) * b ** S(8) * d ** S(4)) + (a + b * sqrt(c + d * x)) ** (S(7) / 2) * ( S(140) * a ** S(4) - S(120) * a ** S(2) * b ** S(2) * c + S(12) * b ** S(4) * c ** S(2) ) / (S(7) * b ** S(8) * d ** S(4)) + S(4) * (a + b * sqrt(c + d * x)) ** (S(3) / 2) * (a ** S(2) - b ** S(2) * c) ** S(2) * (S(7) * a ** S(2) - b ** S(2) * c) / (S(3) * b ** S(8) * d ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / sqrt(a + b * sqrt(c + d * x)), x), x, -S(20) * a * (a + b * sqrt(c + d * x)) ** (S(9) / 2) / (S(9) * b ** S(6) * d ** S(3)) - S(8) * a * (a + b * sqrt(c + d * x)) ** (S(5) / 2) * (S(5) * a ** S(2) - S(3) * b ** S(2) * c) / (S(5) * b ** S(6) * d ** S(3)) - S(4) * a * sqrt(a + b * sqrt(c + d * x)) * (a ** S(2) - b ** S(2) * c) ** S(2) / (b ** S(6) * d ** S(3)) + S(4) * (a + b * sqrt(c + d * x)) ** (S(11) / 2) / (S(11) * b ** S(6) * d ** S(3)) + (a + b * sqrt(c + d * x)) ** (S(7) / 2) * (S(40) * a ** S(2) - S(8) * b ** S(2) * c) / (S(7) * b ** S(6) * d ** S(3)) + (a + b * sqrt(c + d * x)) ** (S(3) / 2) * ( S(20) * a ** S(4) - S(24) * a ** S(2) * b ** S(2) * c + S(4) * b ** S(4) * c ** S(2) ) / (S(3) * b ** S(6) * d ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / sqrt(a + b * sqrt(c + d * x)), x), x, -S(12) * a * (a + b * sqrt(c + d * x)) ** (S(5) / 2) / (S(5) * b ** S(4) * d ** S(2)) - S(4) * a * sqrt(a + b * sqrt(c + d * x)) * (a ** S(2) - b ** S(2) * c) / (b ** S(4) * d ** S(2)) + S(4) * (a + b * sqrt(c + d * x)) ** (S(7) / 2) / (S(7) * b ** S(4) * d ** S(2)) + (a + b * sqrt(c + d * x)) ** (S(3) / 2) * (S(12) * a ** S(2) - S(4) * b ** S(2) * c) / (S(3) * b ** S(4) * d ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(a + b * sqrt(c + d * x)), x), x, -S(4) * a * sqrt(a + b * sqrt(c + d * x)) / (b ** S(2) * d) + S(4) * (a + b * sqrt(c + d * x)) ** (S(3) / 2) / (S(3) * b ** S(2) * d), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(a + b * sqrt(c + d * x))), x), x, -S(2) * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a + b * sqrt(c))) / sqrt(a + b * sqrt(c)) - S(2) * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a - b * sqrt(c))) / sqrt(a - b * sqrt(c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * sqrt(a + b * sqrt(c + d * x))), x), x, b * d * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a + b * sqrt(c))) / (S(2) * sqrt(c) * (a + b * sqrt(c)) ** (S(3) / 2)) - b * d * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a - b * sqrt(c))) / (S(2) * sqrt(c) * (a - b * sqrt(c)) ** (S(3) / 2)) - (a - b * sqrt(c + d * x)) * sqrt(a + b * sqrt(c + d * x)) / (x * (a ** S(2) - b ** S(2) * c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * sqrt(a + b * sqrt(c + d * x))), x), x, -b * d * sqrt(a + b * sqrt(c + d * x)) * (S(6) * a * b * c - (a ** S(2) + S(5) * b ** S(2) * c) * sqrt(c + d * x)) / (S(8) * c * x * (a ** S(2) - b ** S(2) * c) ** S(2)) - b * d ** S(2) * (S(2) * a + S(5) * b * sqrt(c)) * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a + b * sqrt(c))) / (S(16) * c ** (S(3) / 2) * (a + b * sqrt(c)) ** (S(5) / 2)) + b * d ** S(2) * (S(2) * a - S(5) * b * sqrt(c)) * atanh(sqrt(a + b * sqrt(c + d * x)) / sqrt(a - b * sqrt(c))) / (S(16) * c ** (S(3) / 2) * (a - b * sqrt(c)) ** (S(5) / 2)) - (a - b * sqrt(c + d * x)) * sqrt(a + b * sqrt(c + d * x)) / (x ** S(2) * (S(2) * a ** S(2) - S(2) * b ** S(2) * c)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * (a + b * sqrt(c + d * x)) ** p, x), x, -S(2) * a * (a + b * sqrt(c + d * x)) ** (p + S(1)) * (a ** S(2) - b ** S(2) * c) ** S(3) / (b ** S(8) * d ** S(4) * (p + S(1))) - S(6) * a * (a + b * sqrt(c + d * x)) ** (p + S(3)) * (a ** S(2) - b ** S(2) * c) * (S(7) * a ** S(2) - S(3) * b ** S(2) * c) / (b ** S(8) * d ** S(4) * (p + S(3))) - S(10) * a * (a + b * sqrt(c + d * x)) ** (p + S(5)) * (S(7) * a ** S(2) - S(3) * b ** S(2) * c) / (b ** S(8) * d ** S(4) * (p + S(5))) - S(14) * a * (a + b * sqrt(c + d * x)) ** (p + S(7)) / (b ** S(8) * d ** S(4) * (p + S(7))) + S(2) * (a + b * sqrt(c + d * x)) ** (p + S(2)) * (a ** S(2) - b ** S(2) * c) ** S(2) * (S(7) * a ** S(2) - b ** S(2) * c) / (b ** S(8) * d ** S(4) * (p + S(2))) + (a + b * sqrt(c + d * x)) ** (p + S(4)) * ( S(70) * a ** S(4) - S(60) * a ** S(2) * b ** S(2) * c + S(6) * b ** S(4) * c ** S(2) ) / (b ** S(8) * d ** S(4) * (p + S(4))) + (a + b * sqrt(c + d * x)) ** (p + S(6)) * (S(42) * a ** S(2) - S(6) * b ** S(2) * c) / (b ** S(8) * d ** S(4) * (p + S(6))) + S(2) * (a + b * sqrt(c + d * x)) ** (p + S(8)) / (b ** S(8) * d ** S(4) * (p + S(8))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (a + b * sqrt(c + d * x)) ** p, x), x, -S(2) * a * (a + b * sqrt(c + d * x)) ** (p + S(1)) * (a ** S(2) - b ** S(2) * c) ** S(2) / (b ** S(6) * d ** S(3) * (p + S(1))) - S(4) * a * (a + b * sqrt(c + d * x)) ** (p + S(3)) * (S(5) * a ** S(2) - S(3) * b ** S(2) * c) / (b ** S(6) * d ** S(3) * (p + S(3))) - S(10) * a * (a + b * sqrt(c + d * x)) ** (p + S(5)) / (b ** S(6) * d ** S(3) * (p + S(5))) + (a + b * sqrt(c + d * x)) ** (p + S(2)) * ( S(10) * a ** S(4) - S(12) * a ** S(2) * b ** S(2) * c + S(2) * b ** S(4) * c ** S(2) ) / (b ** S(6) * d ** S(3) * (p + S(2))) + (a + b * sqrt(c + d * x)) ** (p + S(4)) * (S(20) * a ** S(2) - S(4) * b ** S(2) * c) / (b ** S(6) * d ** S(3) * (p + S(4))) + S(2) * (a + b * sqrt(c + d * x)) ** (p + S(6)) / (b ** S(6) * d ** S(3) * (p + S(6))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (a + b * sqrt(c + d * x)) ** p, x), x, -S(2) * a * (a + b * sqrt(c + d * x)) ** (p + S(1)) * (a ** S(2) - b ** S(2) * c) / (b ** S(4) * d ** S(2) * (p + S(1))) - S(6) * a * (a + b * sqrt(c + d * x)) ** (p + S(3)) / (b ** S(4) * d ** S(2) * (p + S(3))) + (a + b * sqrt(c + d * x)) ** (p + S(2)) * (S(6) * a ** S(2) - S(2) * b ** S(2) * c) / (b ** S(4) * d ** S(2) * (p + S(2))) + S(2) * (a + b * sqrt(c + d * x)) ** (p + S(4)) / (b ** S(4) * d ** S(2) * (p + S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * sqrt(c + d * x)) ** p, x), x, -S(2) * a * (a + b * sqrt(c + d * x)) ** (p + S(1)) / (b ** S(2) * d * (p + S(1))) + S(2) * (a + b * sqrt(c + d * x)) ** (p + S(2)) / (b ** S(2) * d * (p + S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * sqrt(c + d * x)) ** p / x, x), x, -((a + b * sqrt(c + d * x)) ** (p + S(1))) * hyper( (S(1), p + S(1)), (p + S(2),), (a + b * sqrt(c + d * x)) / (a + b * sqrt(c)) ) / ((a + b * sqrt(c)) * (p + S(1))) - (a + b * sqrt(c + d * x)) ** (p + S(1)) * hyper( (S(1), p + S(1)), (p + S(2),), (a + b * sqrt(c + d * x)) / (a - b * sqrt(c)) ) / ((a - b * sqrt(c)) * (p + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x) ** n) ** (S(5) / 2) / x, x), x, -S(2) * a ** (S(5) / 2) * atanh(sqrt(a + b * (c * x) ** n) / sqrt(a)) / n + S(2) * a ** S(2) * sqrt(a + b * (c * x) ** n) / n + S(2) * a * (a + b * (c * x) ** n) ** (S(3) / 2) / (S(3) * n) + S(2) * (a + b * (c * x) ** n) ** (S(5) / 2) / (S(5) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b * (c * x) ** n) ** (S(3) / 2) / x, x), x, -S(2) * a ** (S(3) / 2) * atanh(sqrt(a + b * (c * x) ** n) / sqrt(a)) / n + S(2) * a * sqrt(a + b * (c * x) ** n) / n + S(2) * (a + b * (c * x) ** n) ** (S(3) / 2) / (S(3) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * (c * x) ** n) / x, x), x, -S(2) * sqrt(a) * atanh(sqrt(a + b * (c * x) ** n) / sqrt(a)) / n + S(2) * sqrt(a + b * (c * x) ** n) / n, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(a + b * (c * x) ** n)), x), x, -S(2) * atanh(sqrt(a + b * (c * x) ** n) / sqrt(a)) / (sqrt(a) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (a + b * (c * x) ** n) ** (S(3) / 2)), x), x, S(2) / (a * n * sqrt(a + b * (c * x) ** n)) - S(2) * atanh(sqrt(a + b * (c * x) ** n) / sqrt(a)) / (a ** (S(3) / 2) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (a + b * (c * x) ** n) ** (S(5) / 2)), x), x, S(2) / (S(3) * a * n * (a + b * (c * x) ** n) ** (S(3) / 2)) + S(2) / (a ** S(2) * n * sqrt(a + b * (c * x) ** n)) - S(2) * atanh(sqrt(a + b * (c * x) ** n) / sqrt(a)) / (a ** (S(5) / 2) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-a + b * (c * x) ** n) ** (S(5) / 2) / x, x), x, -S(2) * a ** (S(5) / 2) * atan(sqrt(-a + b * (c * x) ** n) / sqrt(a)) / n + S(2) * a ** S(2) * sqrt(-a + b * (c * x) ** n) / n - S(2) * a * (-a + b * (c * x) ** n) ** (S(3) / 2) / (S(3) * n) + S(2) * (-a + b * (c * x) ** n) ** (S(5) / 2) / (S(5) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-a + b * (c * x) ** n) ** (S(3) / 2) / x, x), x, S(2) * a ** (S(3) / 2) * atan(sqrt(-a + b * (c * x) ** n) / sqrt(a)) / n - S(2) * a * sqrt(-a + b * (c * x) ** n) / n + S(2) * (-a + b * (c * x) ** n) ** (S(3) / 2) / (S(3) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-a + b * (c * x) ** n) / x, x), x, -S(2) * sqrt(a) * atan(sqrt(-a + b * (c * x) ** n) / sqrt(a)) / n + S(2) * sqrt(-a + b * (c * x) ** n) / n, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(-a + b * (c * x) ** n)), x), x, S(2) * atan(sqrt(-a + b * (c * x) ** n) / sqrt(a)) / (sqrt(a) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (-a + b * (c * x) ** n) ** (S(3) / 2)), x), x, -S(2) / (a * n * sqrt(-a + b * (c * x) ** n)) - S(2) * atan(sqrt(-a + b * (c * x) ** n) / sqrt(a)) / (a ** (S(3) / 2) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * (-a + b * (c * x) ** n) ** (S(5) / 2)), x), x, -S(2) / (S(3) * a * n * (-a + b * (c * x) ** n) ** (S(3) / 2)) + S(2) / (a ** S(2) * n * sqrt(-a + b * (c * x) ** n)) + S(2) * atan(sqrt(-a + b * (c * x) ** n) / sqrt(a)) / (a ** (S(5) / 2) * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(a + b * x)), x), x, -S(2) * atanh(sqrt(a + b * x) / sqrt(a)) / sqrt(a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(a + b * (c * x) ** m)), x), x, -S(2) * atanh(sqrt(a + b * (c * x) ** m) / sqrt(a)) / (sqrt(a) * m), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(a + b * (c * (d * x) ** m) ** n)), x), x, -S(2) * atanh(sqrt(a + b * (c * (d * x) ** m) ** n) / sqrt(a)) / (sqrt(a) * m * n), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x * sqrt(a + b * (c * (d * (e * x) ** m) ** n) ** p)), x ), x, -S(2) * atanh(sqrt(a + b * (c * (d * (e * x) ** m) ** n) ** p) / sqrt(a)) / (sqrt(a) * m * n * p), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (x * sqrt(a + b * (c * (d * (e * (f * x) ** m) ** n) ** p) ** q)), x ), x, -S(2) * atanh(sqrt(a + b * (c * (d * (e * (f * x) ** m) ** n) ** p) ** q) / sqrt(a)) / (sqrt(a) * m * n * p * q), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(-1) + x ** (S(-2))) * (x ** S(2) + S(-1)) ** S(3) / x, x), x, -(x ** S(6)) * (S(-1) + x ** (S(-2))) ** (S(7) / 2) / S(6) - S(7) * x ** S(4) * (S(-1) + x ** (S(-2))) ** (S(5) / 2) / S(24) - S(35) * x ** S(2) * (S(-1) + x ** (S(-2))) ** (S(3) / 2) / S(48) + S(35) * sqrt(S(-1) + x ** (S(-2))) / S(16) - S(35) * atan(sqrt(S(-1) + x ** (S(-2)))) / S(16), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(-1) + x ** (S(-2))) * (x ** S(2) + S(-1)) ** S(2) / x, x), x, x ** S(4) * (S(-1) + x ** (S(-2))) ** (S(5) / 2) / S(4) + S(5) * x ** S(2) * (S(-1) + x ** (S(-2))) ** (S(3) / 2) / S(8) - S(15) * sqrt(S(-1) + x ** (S(-2))) / S(8) + S(15) * atan(sqrt(S(-1) + x ** (S(-2)))) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(-1) + x ** (S(-2))) * (x ** S(2) + S(-1)) / x, x), x, -(x ** S(2)) * (S(-1) + x ** (S(-2))) ** (S(3) / 2) / S(2) + S(3) * sqrt(S(-1) + x ** (S(-2))) / S(2) - S(3) * atan(sqrt(S(-1) + x ** (S(-2)))) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(-1) + x ** (S(-2))) / (x * (x ** S(2) + S(-1))), x), x, sqrt(S(-1) + x ** (S(-2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(S(-1) + x ** (S(-2))) / (x * (x ** S(2) + S(-1)) ** S(2)), x ), x, -sqrt(S(-1) + x ** (S(-2))) + S(1) / sqrt(S(-1) + x ** (S(-2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(S(-1) + x ** (S(-2))) / (x * (x ** S(2) + S(-1)) ** S(3)), x ), x, sqrt(S(-1) + x ** (S(-2))) - S(2) / sqrt(S(-1) + x ** (S(-2))) - S(1) / (S(3) * (S(-1) + x ** (S(-2))) ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(S(1) + x ** (S(-2))) / (x ** S(2) + S(1)) ** S(2), x), x, S(1) / sqrt(S(1) + x ** (S(-2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(S(1) + x ** (S(-2))) * (x ** S(2) + S(1))), x), x, S(1) / sqrt(S(1) + x ** (S(-2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (a + b * x ** S(2) + sqrt(a + b * x ** S(2))), x), x, log(sqrt(a + b * x ** S(2)) + S(1)) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (x ** S(2) - (x ** S(2)) ** (S(1) / 3)), x), x, S(3) * log(-((x ** S(2)) ** (S(2) / 3)) + S(1)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (x ** S(2) + S(1)) ** S(3) * sqrt(x ** S(4) + S(2) * x ** S(2) + S(2)), x, ), x, (x ** S(2) + S(1)) ** S(2) * (x ** S(4) + S(2) * x ** S(2) + S(2)) ** (S(3) / 2) / S(10) - (x ** S(4) + S(2) * x ** S(2) + S(2)) ** (S(3) / 2) / S(15), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt((-(x ** S(2)) + S(1)) / (x ** S(2) + S(1))), x), x, sqrt((-(x ** S(2)) + S(1)) / (x ** S(2) + S(1))) * (x ** S(2) + S(1)) / S(2) - atan(sqrt((-(x ** S(2)) + S(1)) / (x ** S(2) + S(1)))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(x * sqrt((-(x ** S(2)) + S(1)) / (x ** S(2) + S(1))), x), x, sqrt((-(x ** S(2)) + S(1)) / (x ** S(2) + S(1))) / ((-(x ** S(2)) + S(1)) / (x ** S(2) + S(1)) + S(1)) - atan(sqrt((-(x ** S(2)) + S(1)) / (x ** S(2) + S(1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * sqrt((-S(7) * x ** S(2) + S(5)) / (S(5) * x ** S(2) + S(7))), x ), x, sqrt((-S(7) * x ** S(2) + S(5)) / (S(5) * x ** S(2) + S(7))) * (S(5) * x ** S(2) + S(7)) / S(10) - S(37) * sqrt(S(35)) * atan( sqrt(S(35)) * sqrt((-S(7) * x ** S(2) + S(5)) / (S(5) * x ** S(2) + S(7))) / S(7) ) / S(175), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( x * sqrt((-S(7) * x ** S(2) + S(5)) / (S(5) * x ** S(2) + S(7))), x ), x, S(37) * sqrt((-S(7) * x ** S(2) + S(5)) / (S(5) * x ** S(2) + S(7))) / (S(5) * (-S(35) * x ** S(2) + S(25)) / (S(5) * x ** S(2) + S(7)) + S(35)) - S(37) * sqrt(S(35)) * atan( sqrt(S(35)) * sqrt((-S(7) * x ** S(2) + S(5)) / (S(5) * x ** S(2) + S(7))) / S(7) ) / S(175), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1))), x), x, sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1))) * (x ** S(3) + S(1)) / S(3) - S(2) * atan(sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1)))) / S(3), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(x ** S(2) * sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1))), x), x, S(2) * sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1))) / (S(3) * (-(x ** S(3)) + S(1)) / (x ** S(3) + S(1)) + S(3)) - S(2) * atan(sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1)))) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(5) * sqrt(-(x ** S(3)) + S(1)) * (x ** S(9) + S(1)) ** S(2), x ), x, S(2) * (-(x ** S(3)) + S(1)) ** (S(17) / 2) / S(51) - S(14) * (-(x ** S(3)) + S(1)) ** (S(15) / 2) / S(45) + S(14) * (-(x ** S(3)) + S(1)) ** (S(13) / 2) / S(13) - S(74) * (-(x ** S(3)) + S(1)) ** (S(11) / 2) / S(33) + S(86) * (-(x ** S(3)) + S(1)) ** (S(9) / 2) / S(27) - S(22) * (-(x ** S(3)) + S(1)) ** (S(7) / 2) / S(7) + S(32) * (-(x ** S(3)) + S(1)) ** (S(5) / 2) / S(15) - S(8) * (-(x ** S(3)) + S(1)) ** (S(3) / 2) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(8) * sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1))), x), x, -S(8) * ((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1))) ** (S(3) / 2) / (S(9) * ((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1)) + S(1)) ** S(3)) + sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1))) / ((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1)) + S(1)) - S(2) * sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1))) / (S(3) * ((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1)) + S(1)) ** S(2)) - atan(sqrt((-(x ** S(3)) + S(1)) / (x ** S(3) + S(1)))) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(9) * sqrt((-S(7) * x ** S(5) + S(5)) / (S(5) * x ** S(5) + S(7))), x ), x, -S(999) * sqrt((-S(7) * x ** S(5) + S(5)) / (S(5) * x ** S(5) + S(7))) / (S(175) * (-S(35) * x ** S(5) + S(25)) / (S(5) * x ** S(5) + S(7)) + S(1225)) + S(2738) * sqrt((-S(7) * x ** S(5) + S(5)) / (S(5) * x ** S(5) + S(7))) / ( S(125) * ((-S(35) * x ** S(5) + S(25)) / (S(5) * x ** S(5) + S(7)) + S(7)) ** S(2) ) + S(2257) * sqrt(S(35)) * atan( sqrt(S(35)) * sqrt((-S(7) * x ** S(5) + S(5)) / (S(5) * x ** S(5) + S(7))) / S(7) ) / S(30625), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / (sqrt(a + b * x ** S(2)) * (x ** S(2) + S(1))) + x / (a + b * x ** S(2)) ** (S(3) / 2), x, ), x, -atanh(sqrt(a + b * x ** S(2)) / sqrt(a - b)) / sqrt(a - b) - S(1) / (b * sqrt(a + b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (a + b * x ** S(2) + x ** S(2) + S(1)) / ((a + b * x ** S(2)) ** (S(3) / 2) * (x ** S(2) + S(1))), x, ), x, -atanh(sqrt(a + b * x ** S(2)) / sqrt(a - b)) / sqrt(a - b) - S(1) / (b * sqrt(a + b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / (sqrt(a + b * x ** S(2)) * (x ** S(2) + S(1))) + x / (a + b * x ** S(2)) ** (S(3) / 2) + x / (a + b * x ** S(2)) ** (S(5) / 2), x, ), x, -atanh(sqrt(a + b * x ** S(2)) / sqrt(a - b)) / sqrt(a - b) - S(1) / (b * sqrt(a + b * x ** S(2))) - S(1) / (S(3) * b * (a + b * x ** S(2)) ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * ( a ** S(2) + S(2) * a * b * x ** S(2) + a * x ** S(2) + a + b ** S(2) * x ** S(4) + b * x ** S(4) + b * x ** S(2) + x ** S(2) + S(1) ) / ((a + b * x ** S(2)) ** (S(5) / 2) * (x ** S(2) + S(1))), x, ), x, -atanh(sqrt(a + b * x ** S(2)) / sqrt(a - b)) / sqrt(a - b) - S(1) / (b * sqrt(a + b * x ** S(2))) - S(1) / (S(3) * b * (a + b * x ** S(2)) ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(sqrt(x) + x), x), x, S(2) * sqrt(sqrt(x) + x) - S(2) * atanh(sqrt(x) / sqrt(sqrt(x) + x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(x) + x), x), x, sqrt(x) * sqrt(sqrt(x) + x) / S(6) + S(2) * x * sqrt(sqrt(x) + x) / S(3) - sqrt(sqrt(x) + x) / S(4) + atanh(sqrt(x) / sqrt(sqrt(x) + x)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-x) * (x + sqrt(-x)), x), x, -(x ** S(2)) / S(2) + S(2) * (-x) ** (S(5) / 2) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** (S(1) / 4) + S(5)) / (x + S(-6)), x), x, S(4) * x ** (S(1) / 4) + S(5) * log(-x + S(6)) - S(2) * S(6) ** (S(1) / 4) * atan(S(6) ** (S(3) / 4) * x ** (S(1) / 4) / S(6)) - S(2) * S(6) ** (S(1) / 4) * atanh(S(6) ** (S(3) / 4) * x ** (S(1) / 4) / S(6)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (-x + sqrt(-x + S(4)) + S(4)), x), x, -S(2) * log(sqrt(-x + S(4)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x - sqrt(x + S(2)) + S(1)), x), x, (sqrt(S(5)) / S(5) + S(1)) * log(-S(2) * sqrt(x + S(2)) + S(1) + sqrt(S(5))) + (-sqrt(S(5)) / S(5) + S(1)) * log(-S(2) * sqrt(x + S(2)) - sqrt(S(5)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x + sqrt(x + S(1)) + S(4)), x), x, log(x + sqrt(x + S(1)) + S(4)) - S(2) * sqrt(S(11)) * atan(sqrt(S(11)) * (S(2) * sqrt(x + S(1)) + S(1)) / S(11)) / S(11), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x - sqrt(x + S(1))), x), x, (sqrt(S(5)) / S(5) + S(1)) * log(-S(2) * sqrt(x + S(1)) + S(1) + sqrt(S(5))) + (-sqrt(S(5)) / S(5) + S(1)) * log(-S(2) * sqrt(x + S(1)) - sqrt(S(5)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x - sqrt(x + S(2))), x), x, S(4) * log(-sqrt(x + S(2)) + S(2)) / S(3) + S(2) * log(sqrt(x + S(2)) + S(1)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x - sqrt(-x + S(1))), x), x, (sqrt(S(5)) / S(5) + S(1)) * log(S(2) * sqrt(-x + S(1)) + S(1) + sqrt(S(5))) + (-sqrt(S(5)) / S(5) + S(1)) * log(S(2) * sqrt(-x + S(1)) - sqrt(S(5)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(x) + x + S(1)), x), x, (-sqrt(x) / S(2) + S(-1) / 4) * sqrt(sqrt(x) + x + S(1)) + S(2) * (sqrt(x) + x + S(1)) ** (S(3) / 2) / S(3) - S(3) * asinh(sqrt(S(3)) * (S(2) * sqrt(x) + S(1)) / S(3)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x + sqrt(x + S(1)) + S(1)), x), x, -(S(2) * sqrt(x + S(1)) + S(1)) * sqrt(x + sqrt(x + S(1)) + S(1)) / S(4) + S(2) * (x + sqrt(x + S(1)) + S(1)) ** (S(3) / 2) / S(3) + atanh(sqrt(x + S(1)) / sqrt(x + sqrt(x + S(1)) + S(1))) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x + sqrt(x + S(-1))), x), x, S(2) * (x + sqrt(x + S(-1))) ** (S(3) / 2) / S(3) + sqrt(x + sqrt(x + S(-1))) * (-sqrt(x + S(-1)) / S(2) + S(-1) / 4) - S(3) * asinh(sqrt(S(3)) * (S(2) * sqrt(x + S(-1)) + S(1)) / S(3)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(2) * x + sqrt(S(2) * x + S(-1))), x), x, (S(2) * x + sqrt(S(2) * x + S(-1))) ** (S(3) / 2) / S(3) - sqrt(S(2) * x + sqrt(S(2) * x + S(-1))) * (S(2) * sqrt(S(2) * x + S(-1)) + S(1)) / S(8) - S(3) * asinh(sqrt(S(3)) * (S(2) * sqrt(S(2) * x + S(-1)) + S(1)) / S(3)) / S(16), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(3) * x + sqrt(S(8) * x + S(-7))), x), x, sqrt(S(2)) * (S(24) * x + S(8) * sqrt(S(8) * x + S(-7))) ** (S(3) / 2) / S(144) - sqrt(S(2)) * sqrt(S(24) * x + S(8) * sqrt(S(8) * x + S(-7))) * (S(3) * sqrt(S(8) * x + S(-7)) + S(4)) / S(72) - S(47) * sqrt(S(6)) * asinh(sqrt(S(47)) * (S(3) * sqrt(S(8) * x + S(-7)) + S(4)) / S(47)) / S(216), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x + sqrt(x + S(1))), x), x, S(2) * sqrt(x + sqrt(x + S(1))) - atanh((S(2) * sqrt(x + S(1)) + S(1)) / (S(2) * sqrt(x + sqrt(x + S(1))))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + S(1)) / (x + sqrt(S(6) * x + S(-9)) + S(4)), x), x, x - S(2) * sqrt(S(3)) * sqrt(S(2) * x + S(-3)) + S(3) * log(x + sqrt(S(3)) * sqrt(S(2) * x + S(-3)) + S(4)) + S(4) * sqrt(S(6)) * atan(sqrt(S(6)) * (sqrt(S(6) * x + S(-9)) + S(3)) / S(12)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-x + S(12)) / (x + sqrt(S(6) * x + S(-9)) + S(4)), x), x, -x + S(2) * sqrt(S(3)) * sqrt(S(2) * x + S(-3)) + S(10) * log(x + sqrt(S(3)) * sqrt(S(2) * x + S(-3)) + S(4)) - S(21) * sqrt(S(6)) * atan(sqrt(S(6)) * (sqrt(S(6) * x + S(-9)) + S(3)) / S(12)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** S(3) + S(-1)) / (sqrt(x) * (x ** S(2) + S(1))), x), x, S(2) * x ** (S(3) / 2) / S(3) - sqrt(S(2)) * atan(sqrt(S(2)) * sqrt(x) + S(-1)) - sqrt(S(2)) * atan(sqrt(S(2)) * sqrt(x) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(2) * sqrt(x + S(-1)) * sqrt(x - sqrt(x + S(-1)))), x), x, -asinh(sqrt(S(3)) * (-S(2) * sqrt(x + S(-1)) + S(1)) / S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x ** (S(7) / 2) + S(1)) / (-(x ** S(2)) + S(1)), x), x, -S(2) * x ** (S(5) / 2) / S(5) - S(2) * sqrt(x) - log(-sqrt(x) + S(1)) + log(x + S(1)) / S(2) + atan(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x + S(4)) / ((S(2) * x + S(-1)) ** (S(1) / 3) + sqrt(S(2) * x + S(-1))), x, ), x, -x + S(3) * (S(2) * x + S(-1)) ** (S(7) / 6) / S(7) + S(3) * (S(2) * x + S(-1)) ** (S(5) / 6) / S(5) + S(18) * (S(2) * x + S(-1)) ** (S(1) / 6) - S(3) * (S(2) * x + S(-1)) ** (S(4) / 3) / S(8) - S(3) * (S(2) * x + S(-1)) ** (S(2) / 3) / S(4) - S(9) * (S(2) * x + S(-1)) ** (S(1) / 3) + (S(2) * x + S(-1)) ** (S(3) / 2) / S(3) + S(6) * sqrt(S(2) * x + S(-1)) - S(18) * log((S(2) * x + S(-1)) ** (S(1) / 6) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(sqrt(sqrt(x) + S(1)) + S(2)), x), x, S(8) * (sqrt(sqrt(x) + S(1)) + S(2)) ** (S(7) / 2) / S(7) - S(48) * (sqrt(sqrt(x) + S(1)) + S(2)) ** (S(5) / 2) / S(5) + S(88) * (sqrt(sqrt(x) + S(1)) + S(2)) ** (S(3) / 2) / S(3) - S(48) * sqrt(sqrt(sqrt(x) + S(1)) + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(sqrt(x) + S(4)) + S(2)), x), x, S(8) * (sqrt(sqrt(x) + S(4)) + S(2)) ** (S(9) / 2) / S(9) - S(48) * (sqrt(sqrt(x) + S(4)) + S(2)) ** (S(7) / 2) / S(7) + S(64) * (sqrt(sqrt(x) + S(4)) + S(2)) ** (S(5) / 2) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-sqrt(sqrt(S(5) * x + S(-9)) + S(4)) + S(2)), x), x, S(8) * (-sqrt(sqrt(S(5) * x + S(-9)) + S(4)) + S(2)) ** (S(9) / 2) / S(45) - S(48) * (-sqrt(sqrt(S(5) * x + S(-9)) + S(4)) + S(2)) ** (S(7) / 2) / S(35) + S(64) * (-sqrt(sqrt(S(5) * x + S(-9)) + S(4)) + S(2)) ** (S(5) / 2) / S(25), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(sqrt(sqrt(x) + S(1)) + S(2)), x), x, S(8) * (sqrt(sqrt(x) + S(1)) + S(2)) ** (S(7) / 2) / S(7) - S(48) * (sqrt(sqrt(x) + S(1)) + S(2)) ** (S(5) / 2) / S(5) + S(88) * (sqrt(sqrt(x) + S(1)) + S(2)) ** (S(3) / 2) / S(3) - S(48) * sqrt(sqrt(sqrt(x) + S(1)) + S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(sqrt(sqrt(x) + S(1)) + S(1)) + S(1)), x), x, S(16) * (sqrt(sqrt(sqrt(x) + S(1)) + S(1)) + S(1)) ** (S(17) / 2) / S(17) - S(112) * (sqrt(sqrt(sqrt(x) + S(1)) + S(1)) + S(1)) ** (S(15) / 2) / S(15) + S(288) * (sqrt(sqrt(sqrt(x) + S(1)) + S(1)) + S(1)) ** (S(13) / 2) / S(13) - S(320) * (sqrt(sqrt(sqrt(x) + S(1)) + S(1)) + S(1)) ** (S(11) / 2) / S(11) + S(112) * (sqrt(sqrt(sqrt(x) + S(1)) + S(1)) + S(1)) ** (S(9) / 2) / S(9) + S(48) * (sqrt(sqrt(sqrt(x) + S(1)) + S(1)) + S(1)) ** (S(7) / 2) / S(7) - S(32) * (sqrt(sqrt(sqrt(x) + S(1)) + S(1)) + S(1)) ** (S(5) / 2) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)), x), x, S(4) * (sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)) ** (S(17) / 2) / S(17) - S(56) * (sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)) ** (S(15) / 2) / S(15) + S(300) * (sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)) ** (S(13) / 2) / S(13) - S(760) * (sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)) ** (S(11) / 2) / S(11) + S(304) * (sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)) ** (S(9) / 2) / S(3) - S(480) * (sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)) ** (S(7) / 2) / S(7) + S(136) * (sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)) ** (S(5) / 2) / S(5) - S(16) * (sqrt(sqrt(S(2) * sqrt(x) + S(-1)) + S(3)) + S(2)) ** (S(3) / 2) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(sqrt(sqrt(x + S(-1)) + S(1)) + S(1)), x), x, S(8) * (sqrt(sqrt(x + S(-1)) + S(1)) + S(1)) ** (S(17) / 2) / S(17) - S(56) * (sqrt(sqrt(x + S(-1)) + S(1)) + S(1)) ** (S(15) / 2) / S(15) + S(144) * (sqrt(sqrt(x + S(-1)) + S(1)) + S(1)) ** (S(13) / 2) / S(13) - S(160) * (sqrt(sqrt(x + S(-1)) + S(1)) + S(1)) ** (S(11) / 2) / S(11) + S(8) * (sqrt(sqrt(x + S(-1)) + S(1)) + S(1)) ** (S(9) / 2) - S(24) * (sqrt(sqrt(x + S(-1)) + S(1)) + S(1)) ** (S(7) / 2) / S(7) + S(16) * (sqrt(sqrt(x + S(-1)) + S(1)) + S(1)) ** (S(5) / 2) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x + S(-1)) * sqrt(x - sqrt(x + S(-1)))), x), x, -S(2) * asinh(sqrt(S(3)) * (-S(2) * sqrt(x + S(-1)) + S(1)) / S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x + sqrt(S(2) * x + S(-1)) + S(1)), x), x, S(2) * sqrt(x + sqrt(S(2) * x + S(-1)) + S(1)) - sqrt(S(2)) * asinh(sqrt(S(2)) * (sqrt(S(2) * x + S(-1)) + S(1)) / S(2)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(S(1) / sqrt(x + sqrt(S(2) * x + S(-1)) + S(1)), x), x, sqrt(S(2)) * sqrt(S(2) * x + S(2) * sqrt(S(2) * x + S(-1)) + S(2)) - sqrt(S(2)) * asinh(sqrt(S(2)) * (sqrt(S(2) * x + S(-1)) + S(1)) / S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((p * x + q) / ((f + sqrt(a * x + b)) * sqrt(a * x + b)), x), x, p * x / a - S(2) * f * p * sqrt(a * x + b) / a ** S(2) - (-S(2) * a * q + S(2) * b * p - S(2) * f ** S(2) * p) * log(f + sqrt(a * x + b)) / a ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-sqrt(x) - x + S(1)), x), x, (-sqrt(x) / S(2) + S(-1) / 4) * sqrt(-sqrt(x) - x + S(1)) - S(2) * (-sqrt(x) - x + S(1)) ** (S(3) / 2) / S(3) - S(5) * asin(sqrt(S(5)) * (S(2) * sqrt(x) + S(1)) / S(5)) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(6) * sqrt(x) + x + S(9)) / (S(4) * sqrt(x) + x), x), x, S(4) * sqrt(x) + x + S(2) * log(sqrt(x) + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((-S(8) * x ** (S(7) / 2) + S(6)) / (-S(9) * sqrt(x) + S(5)), x), x, S(80) * x ** (S(7) / 2) / S(567) + S(400) * x ** (S(5) / 2) / S(6561) + S(50000) * x ** (S(3) / 2) / S(1594323) - S(56145628) * sqrt(x) / S(43046721) + S(2) * x ** S(4) / S(9) + S(200) * x ** S(3) / S(2187) + S(2500) * x ** S(2) / S(59049) + S(125000) * x / S(4782969) - S(280728140) * log(-S(9) * sqrt(x) + S(5)) / S(387420489), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x + S(1)) * (x ** S(3) + S(1)) / (x ** S(2) + S(1)), x), x, S(2) * (x + S(1)) ** (S(5) / 2) / S(5) - S(2) * (x + S(1)) ** (S(3) / 2) / S(3) - S(2) * sqrt(x + S(1)) + (S(1) - I) ** (S(3) / 2) * atanh(sqrt(x + S(1)) / sqrt(S(1) - I)) + (S(1) + I) ** (S(3) / 2) * atanh(sqrt(x + S(1)) / sqrt(S(1) + I)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(sqrt(x + S(1)) * (x ** S(3) + S(1)) / (x ** S(2) + S(1)), x), x, S(2) * (x + S(1)) ** (S(5) / 2) / S(5) - S(2) * (x + S(1)) ** (S(3) / 2) / S(3) - S(2) * sqrt(x + S(1)) - log(x - sqrt(S(2) + S(2) * sqrt(S(2))) * sqrt(x + S(1)) + S(1) + sqrt(S(2))) / (S(2) * sqrt(S(1) + sqrt(S(2)))) + log(x + sqrt(S(2) + S(2) * sqrt(S(2))) * sqrt(x + S(1)) + S(1) + sqrt(S(2))) / (S(2) * sqrt(S(1) + sqrt(S(2)))) - sqrt(S(1) + sqrt(S(2))) * atan( (-S(2) * sqrt(x + S(1)) + sqrt(S(2) + S(2) * sqrt(S(2)))) / sqrt(S(-2) + S(2) * sqrt(S(2))) ) + sqrt(S(1) + sqrt(S(2))) * atan( (S(2) * sqrt(x + S(1)) + sqrt(S(2) + S(2) * sqrt(S(2)))) / sqrt(S(-2) + S(2) * sqrt(S(2))) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-sqrt(x) + x + S(-1)) / (sqrt(x) * (x + S(-1))), x), x, atan((-sqrt(x) + S(3)) / (S(2) * sqrt(-sqrt(x) + x + S(-1)))) - S(2) * atanh((-S(2) * sqrt(x) + S(1)) / (S(2) * sqrt(-sqrt(x) + x + S(-1)))) - atanh((S(3) * sqrt(x) + S(1)) / (S(2) * sqrt(-sqrt(x) + x + S(-1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * sqrt(x + S(1)) + S(1)) / (x * sqrt(x + S(1)) * sqrt(x + sqrt(x + S(1)))), x, ), x, -atan((sqrt(x + S(1)) + S(3)) / (S(2) * sqrt(x + sqrt(x + S(1))))) + S(3) * atanh((-S(3) * sqrt(x + S(1)) + S(1)) / (S(2) * sqrt(x + sqrt(x + S(1))))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(x) * sqrt(x + S(1))), x), x, S(2) * asinh(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x / (x + S(1))) / x, x), x, S(2) * asinh(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x) / sqrt(x + S(1)), x), x, sqrt(x) * sqrt(x + S(1)) - asinh(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x / (x + S(1))), x), x, sqrt(x) * sqrt(x + S(1)) - asinh(sqrt(x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x + S(-1)) / (x ** S(2) * sqrt(x + S(1))), x), x, atan(sqrt(x + S(-1)) * sqrt(x + S(1))) - sqrt(x + S(-1)) * sqrt(x + S(1)) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((x + S(-1)) / (x + S(1))) / x ** S(2), x), x, atan(sqrt(x + S(-1)) * sqrt(x + S(1))) - sqrt(x + S(-1)) * sqrt(x + S(1)) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * sqrt(x + S(-1)) / sqrt(x + S(1)), x), x, x ** S(2) * (x + S(-1)) ** (S(3) / 2) * sqrt(x + S(1)) / S(4) + (-x / S(12) + S(7) / 24) * (x + S(-1)) ** (S(3) / 2) * sqrt(x + S(1)) - S(3) * sqrt(x + S(-1)) * sqrt(x + S(1)) / S(8) + S(3) * acosh(x) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(3) * sqrt((x + S(-1)) / (x + S(1))), x), x, x ** S(2) * (x + S(-1)) ** (S(3) / 2) * sqrt(x + S(1)) / S(4) + (-x / S(12) + S(7) / 24) * (x + S(-1)) ** (S(3) / 2) * sqrt(x + S(1)) - S(3) * sqrt(x + S(-1)) * sqrt(x + S(1)) / S(8) + S(3) * acosh(x) / S(8), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-x / (x + S(1))) / x, x), x, S(2) * atan(sqrt(-x / (x + S(1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((-x + S(1)) / (x + S(1))) / (x + S(-1)), x), x, S(2) * atan(sqrt((-x + S(1)) / (x + S(1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((a + b * x) / (-b * x + c)) / (a + b * x), x), x, S(2) * atan(sqrt((a + b * x) / (-b * x + c))) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((a + b * x) / (c + d * x)) / (a + b * x), x), x, S(2) * atanh(sqrt(d) * sqrt((a + b * x) / (c + d * x)) / sqrt(b)) / (sqrt(b) * sqrt(d)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-x / (x + S(1))), x), x, sqrt(-x / (x + S(1))) * (x + S(1)) - atan(sqrt(-x / (x + S(1)))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(sqrt(-x / (x + S(1))), x), x, sqrt(-x / (x + S(1))) / (-x / (x + S(1)) + S(1)) - atan(sqrt(-x / (x + S(1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((-x + S(1)) / (x + S(1))), x), x, sqrt((-x + S(1)) / (x + S(1))) * (x + S(1)) - S(2) * atan(sqrt((-x + S(1)) / (x + S(1)))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(sqrt((-x + S(1)) / (x + S(1))), x), x, S(2) * sqrt((-x + S(1)) / (x + S(1))) / ((-x + S(1)) / (x + S(1)) + S(1)) - S(2) * atan(sqrt((-x + S(1)) / (x + S(1)))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((a + x) / (a - x)), x), x, S(2) * a * atan(sqrt((a + x) / (a - x))) - sqrt((a + x) / (a - x)) * (a - x), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(sqrt((a + x) / (a - x)), x), x, -S(2) * a * sqrt((a + x) / (a - x)) / (S(1) + (a + x) / (a - x)) + S(2) * a * atan(sqrt((a + x) / (a - x))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((-a + x) / (a + x)), x), x, -S(2) * a * atanh(sqrt(-(a - x) / (a + x))) + sqrt(-(a - x) / (a + x)) * (a + x), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(sqrt((-a + x) / (a + x)), x), x, S(2) * a * sqrt(-(a - x) / (a + x)) / ((a - x) / (a + x) + S(1)) - S(2) * a * atanh(sqrt(-(a - x) / (a + x))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((a + b * x) / (c + d * x)), x), x, sqrt((a + b * x) / (c + d * x)) * (c + d * x) / d - (-a * d + b * c) * atanh(sqrt(d) * sqrt((a + b * x) / (c + d * x)) / sqrt(b)) / (sqrt(b) * d ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(sqrt((a + b * x) / (c + d * x)), x), x, sqrt((a + b * x) / (c + d * x)) * (-a * d + b * c) / (d * (b - d * (a + b * x) / (c + d * x))) - (-a * d + b * c) * atanh(sqrt(d) * sqrt((a + b * x) / (c + d * x)) / sqrt(b)) / (sqrt(b) * d ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((x + S(-1)) / (S(3) * x + S(5))), x), x, sqrt(x + S(-1)) * sqrt(S(3) * x + S(5)) / S(3) - S(8) * sqrt(S(3)) * asinh(sqrt(S(6)) * sqrt(x + S(-1)) / S(4)) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt((S(5) * x + S(-1)) / (S(7) * x + S(1))) / x ** S(2), x), x, -S(12) * atan(sqrt(S(7) * x + S(1)) / sqrt(S(5) * x + S(-1))) - sqrt(S(5) * x + S(-1)) * sqrt(S(7) * x + S(1)) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt((-x + S(1)) / (x + S(1))) * (x + S(1))), x), x, -(-x + S(1)) / sqrt((-x + S(1)) / (x + S(1))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(x / (sqrt((-x + S(1)) / (x + S(1))) * (x + S(1))), x), x, -S(2) * sqrt((-x + S(1)) / (x + S(1))) / ((-x + S(1)) / (x + S(1)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt(S(-1) + S(2) / (x + S(1))) * (x + S(1))), x), x, -sqrt(S(-1) + S(2) / (x + S(1))) * (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / (sqrt((x + S(2)) / (x + S(3))) * (x + S(1))), x), x, sqrt(x + S(2)) * sqrt(x + S(3)) - asinh(sqrt(x + S(2))) + S(2) * sqrt(S(2)) * atanh(sqrt(S(2)) * sqrt(x + S(2)) / sqrt(x + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(1) + S(1) / x) / (x + S(1)) ** S(2), x), x, S(2) / sqrt(S(1) + S(1) / x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(1) + S(1) / x) / sqrt(-(x ** S(2)) + S(1)), x), x, sqrt(x) * sqrt(S(1) + S(1) / x) * asin(S(2) * x + S(-1)) / sqrt(x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * sqrt(a + b * sqrt(c / x)), x), x, S(4) * x ** (m + S(1)) * (a + b * sqrt(c / x)) ** (S(3) / 2) * hyper((S(1), -S(2) * m + S(-1) / 2), (S(5) / 2,), (a + b * sqrt(c / x)) / a) / (S(3) * a), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(x ** m * sqrt(a + b * sqrt(c / x)), x), x, S(4) * b ** S(2) * c * x ** m * (-b * sqrt(c / x) / a) ** (S(2) * m) * (a + b * sqrt(c / x)) ** (S(3) / 2) * hyper((S(3) / 2, S(2) * m + S(3)), (S(5) / 2,), S(1) + b * sqrt(c / x) / a) / (S(3) * a ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(a + b * sqrt(c / x)), x), x, x ** S(2) * sqrt(a + b * sqrt(c / x)) / S(2) + b * c ** S(2) * sqrt(a + b * sqrt(c / x)) / (S(12) * a * (c / x) ** (S(3) / 2)) - S(5) * b ** S(2) * c * x * sqrt(a + b * sqrt(c / x)) / (S(48) * a ** S(2)) + S(5) * b ** S(3) * c ** S(2) * sqrt(a + b * sqrt(c / x)) / (S(32) * a ** S(3) * sqrt(c / x)) - S(5) * b ** S(4) * c ** S(2) * atanh(sqrt(a + b * sqrt(c / x)) / sqrt(a)) / (S(32) * a ** (S(7) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c / x)), x), x, x * sqrt(a + b * sqrt(c / x)) + b * c * sqrt(a + b * sqrt(c / x)) / (S(2) * a * sqrt(c / x)) - b ** S(2) * c * atanh(sqrt(a + b * sqrt(c / x)) / sqrt(a)) / (S(2) * a ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c / x)) / x, x), x, S(4) * sqrt(a) * atanh(sqrt(a + b * sqrt(c / x)) / sqrt(a)) - S(4) * sqrt(a + b * sqrt(c / x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c / x)) / x ** S(2), x), x, S(4) * a * (a + b * sqrt(c / x)) ** (S(3) / 2) / (S(3) * b ** S(2) * c) - S(4) * (a + b * sqrt(c / x)) ** (S(5) / 2) / (S(5) * b ** S(2) * c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c / x)) / x ** S(3), x), x, S(4) * a ** S(3) * (a + b * sqrt(c / x)) ** (S(3) / 2) / (S(3) * b ** S(4) * c ** S(2)) - S(12) * a ** S(2) * (a + b * sqrt(c / x)) ** (S(5) / 2) / (S(5) * b ** S(4) * c ** S(2)) + S(12) * a * (a + b * sqrt(c / x)) ** (S(7) / 2) / (S(7) * b ** S(4) * c ** S(2)) - S(4) * (a + b * sqrt(c / x)) ** (S(9) / 2) / (S(9) * b ** S(4) * c ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(c / x)) / x ** S(4), x), x, S(4) * a ** S(5) * (a + b * sqrt(c / x)) ** (S(3) / 2) / (S(3) * b ** S(6) * c ** S(3)) - S(4) * a ** S(4) * (a + b * sqrt(c / x)) ** (S(5) / 2) / (b ** S(6) * c ** S(3)) + S(40) * a ** S(3) * (a + b * sqrt(c / x)) ** (S(7) / 2) / (S(7) * b ** S(6) * c ** S(3)) - S(40) * a ** S(2) * (a + b * sqrt(c / x)) ** (S(9) / 2) / (S(9) * b ** S(6) * c ** S(3)) + S(20) * a * (a + b * sqrt(c / x)) ** (S(11) / 2) / (S(11) * b ** S(6) * c ** S(3)) - S(4) * (a + b * sqrt(c / x)) ** (S(13) / 2) / (S(13) * b ** S(6) * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m / sqrt(a + b * sqrt(c / x)), x), x, S(4) * x ** (m + S(1)) * sqrt(a + b * sqrt(c / x)) * hyper((S(1), -S(2) * m + S(-3) / 2), (S(3) / 2,), (a + b * sqrt(c / x)) / a) / a, expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(x ** m / sqrt(a + b * sqrt(c / x)), x), x, S(4) * b ** S(2) * c * x ** m * (-b * sqrt(c / x) / a) ** (S(2) * m) * sqrt(a + b * sqrt(c / x)) * hyper((S(1) / 2, S(2) * m + S(3)), (S(3) / 2,), S(1) + b * sqrt(c / x) / a) / a ** S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / sqrt(a + b * sqrt(c / x)), x), x, x ** S(2) * sqrt(a + b * sqrt(c / x)) / (S(2) * a) - S(7) * b * c ** S(2) * sqrt(a + b * sqrt(c / x)) / (S(12) * a ** S(2) * (c / x) ** (S(3) / 2)) + S(35) * b ** S(2) * c * x * sqrt(a + b * sqrt(c / x)) / (S(48) * a ** S(3)) - S(35) * b ** S(3) * c ** S(2) * sqrt(a + b * sqrt(c / x)) / (S(32) * a ** S(4) * sqrt(c / x)) + S(35) * b ** S(4) * c ** S(2) * atanh(sqrt(a + b * sqrt(c / x)) / sqrt(a)) / (S(32) * a ** (S(9) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(a + b * sqrt(c / x)), x), x, x * sqrt(a + b * sqrt(c / x)) / a - S(3) * b * c * sqrt(a + b * sqrt(c / x)) / (S(2) * a ** S(2) * sqrt(c / x)) + S(3) * b ** S(2) * c * atanh(sqrt(a + b * sqrt(c / x)) / sqrt(a)) / (S(2) * a ** (S(5) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(a + b * sqrt(c / x))), x), x, S(4) * atanh(sqrt(a + b * sqrt(c / x)) / sqrt(a)) / sqrt(a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * sqrt(a + b * sqrt(c / x))), x), x, S(4) * a * sqrt(a + b * sqrt(c / x)) / (b ** S(2) * c) - S(4) * (a + b * sqrt(c / x)) ** (S(3) / 2) / (S(3) * b ** S(2) * c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * sqrt(a + b * sqrt(c / x))), x), x, S(4) * a ** S(3) * sqrt(a + b * sqrt(c / x)) / (b ** S(4) * c ** S(2)) - S(4) * a ** S(2) * (a + b * sqrt(c / x)) ** (S(3) / 2) / (b ** S(4) * c ** S(2)) + S(12) * a * (a + b * sqrt(c / x)) ** (S(5) / 2) / (S(5) * b ** S(4) * c ** S(2)) - S(4) * (a + b * sqrt(c / x)) ** (S(7) / 2) / (S(7) * b ** S(4) * c ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(4) * sqrt(a + b * sqrt(c / x))), x), x, S(4) * a ** S(5) * sqrt(a + b * sqrt(c / x)) / (b ** S(6) * c ** S(3)) - S(20) * a ** S(4) * (a + b * sqrt(c / x)) ** (S(3) / 2) / (S(3) * b ** S(6) * c ** S(3)) + S(8) * a ** S(3) * (a + b * sqrt(c / x)) ** (S(5) / 2) / (b ** S(6) * c ** S(3)) - S(40) * a ** S(2) * (a + b * sqrt(c / x)) ** (S(7) / 2) / (S(7) * b ** S(6) * c ** S(3)) + S(20) * a * (a + b * sqrt(c / x)) ** (S(9) / 2) / (S(9) * b ** S(6) * c ** S(3)) - S(4) * (a + b * sqrt(c / x)) ** (S(11) / 2) / (S(11) * b ** S(6) * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(sqrt(S(1) / x) + S(1)), x), x, x * sqrt(sqrt(S(1) / x) + S(1)) - S(3) * sqrt(sqrt(S(1) / x) + S(1)) / (S(2) * sqrt(S(1) / x)) + S(3) * atanh(sqrt(sqrt(S(1) / x) + S(1))) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * sqrt(a + b * sqrt(d / x) + c / x), x), x, x ** (m + S(1)) * sqrt(a + b * sqrt(d / x) + c / x) * AppellF1( -S(2) * m + S(-2), S(-1) / 2, S(-1) / 2, -S(2) * m + S(-1), -S(2) * c * sqrt(d / x) / (sqrt(d) * (b * sqrt(d) - sqrt(-S(4) * a * c + b ** S(2) * d))), -S(2) * c * sqrt(d / x) / (sqrt(d) * (b * sqrt(d) + sqrt(-S(4) * a * c + b ** S(2) * d))), ) / ( (m + S(1)) * sqrt( S(2) * c * sqrt(d / x) / (sqrt(d) * (b * sqrt(d) - sqrt(-S(4) * a * c + b ** S(2) * d))) + S(1) ) * sqrt( S(2) * c * sqrt(d / x) / (sqrt(d) * (b * sqrt(d) + sqrt(-S(4) * a * c + b ** S(2) * d))) + S(1) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt(a + b * sqrt(d / x) + c / x), x), x, x ** S(3) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(3) * a) - S(3) * b * d ** S(3) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(10) * a ** S(2) * (d / x) ** (S(5) / 2)) - x ** S(2) * (S(20) * a * c - S(21) * b ** S(2) * d) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(80) * a ** S(3)) + S(7) * b * d ** S(2) * (S(28) * a * c - S(15) * b ** S(2) * d) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(480) * a ** S(4) * (d / x) ** (S(3) / 2)) + x * (S(2) * a + b * sqrt(d / x)) * sqrt(a + b * sqrt(d / x) + c / x) * ( S(16) * a ** S(2) * c ** S(2) - S(56) * a * b ** S(2) * c * d + S(21) * b ** S(4) * d ** S(2) ) / (S(256) * a ** S(5)) + (S(4) * a * c - b ** S(2) * d) * ( S(16) * a ** S(2) * c ** S(2) - S(56) * a * b ** S(2) * c * d + S(21) * b ** S(4) * d ** S(2) ) * atanh( (S(2) * a + b * sqrt(d / x)) / (S(2) * sqrt(a) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(512) * a ** (S(11) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(a + b * sqrt(d / x) + c / x), x), x, x ** S(2) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(2) * a) - S(5) * b * d ** S(2) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(12) * a ** S(2) * (d / x) ** (S(3) / 2)) - x * (S(2) * a + b * sqrt(d / x)) * (S(4) * a * c - S(5) * b ** S(2) * d) * sqrt(a + b * sqrt(d / x) + c / x) / (S(32) * a ** S(3)) - (S(4) * a * c - S(5) * b ** S(2) * d) * (S(4) * a * c - b ** S(2) * d) * atanh( (S(2) * a + b * sqrt(d / x)) / (S(2) * sqrt(a) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(64) * a ** (S(7) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(d / x) + c / x), x), x, x * (S(2) * a + b * sqrt(d / x)) * sqrt(a + b * sqrt(d / x) + c / x) / (S(2) * a) + (S(4) * a * c - b ** S(2) * d) * atanh( (S(2) * a + b * sqrt(d / x)) / (S(2) * sqrt(a) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(4) * a ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(d / x) + c / x) / x, x), x, S(2) * sqrt(a) * atanh( (S(2) * a + b * sqrt(d / x)) / (S(2) * sqrt(a) * sqrt(a + b * sqrt(d / x) + c / x)) ) - b * sqrt(d) * atanh( (b * d + S(2) * c * sqrt(d / x)) / (S(2) * sqrt(c) * sqrt(d) * sqrt(a + b * sqrt(d / x) + c / x)) ) / sqrt(c) - S(2) * sqrt(a + b * sqrt(d / x) + c / x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(d / x) + c / x) / x ** S(2), x), x, b * (b * d + S(2) * c * sqrt(d / x)) * sqrt(a + b * sqrt(d / x) + c / x) / (S(4) * c ** S(2)) + b * sqrt(d) * (S(4) * a * c - b ** S(2) * d) * atanh( (b * d + S(2) * c * sqrt(d / x)) / (S(2) * sqrt(c) * sqrt(d) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(8) * c ** (S(5) / 2)) - S(2) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(3) * c), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(d / x) + c / x) / x ** S(3), x), x, -b * (S(12) * a * c - S(7) * b ** S(2) * d) * (b * d + S(2) * c * sqrt(d / x)) * sqrt(a + b * sqrt(d / x) + c / x) / (S(64) * c ** S(4)) - b * sqrt(d) * (S(4) * a * c - b ** S(2) * d) * (S(12) * a * c - S(7) * b ** S(2) * d) * atanh( (b * d + S(2) * c * sqrt(d / x)) / (S(2) * sqrt(c) * sqrt(d) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(128) * c ** (S(9) / 2)) - S(2) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(5) * c * x) + (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) * (S(32) * a * c - S(35) * b ** S(2) * d + S(42) * b * c * sqrt(d / x)) / (S(120) * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(a + b * sqrt(d / x) + c / x) / x ** S(4), x), x, S(11) * b * (d / x) ** (S(3) / 2) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(42) * c ** S(2) * d) + b * (b * d + S(2) * c * sqrt(d / x)) * sqrt(a + b * sqrt(d / x) + c / x) * ( S(80) * a ** S(2) * c ** S(2) - S(120) * a * b ** S(2) * c * d + S(33) * b ** S(4) * d ** S(2) ) / (S(512) * c ** S(6)) + b * sqrt(d) * (S(4) * a * c - b ** S(2) * d) * ( S(80) * a ** S(2) * c ** S(2) - S(120) * a * b ** S(2) * c * d + S(33) * b ** S(4) * d ** S(2) ) * atanh( (b * d + S(2) * c * sqrt(d / x)) / (S(2) * sqrt(c) * sqrt(d) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(1024) * c ** (S(13) / 2)) - S(2) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(7) * c * x ** S(2)) + (S(32) * a * c - S(33) * b ** S(2) * d) * (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) / (S(140) * c ** S(3) * x) - (a + b * sqrt(d / x) + c / x) ** (S(3) / 2) * ( S(1024) * a ** S(2) * c ** S(2) - S(3276) * a * b ** S(2) * c * d + S(1155) * b ** S(4) * d ** S(2) + S(18) * b * c * sqrt(d / x) * (S(148) * a * c - S(77) * b ** S(2) * d) ) / (S(6720) * c ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m / sqrt(a + b * sqrt(d / x) + c / x), x), x, x ** (m + S(1)) * sqrt( S(2) * c * sqrt(d / x) / (sqrt(d) * (b * sqrt(d) - sqrt(-S(4) * a * c + b ** S(2) * d))) + S(1) ) * sqrt( S(2) * c * sqrt(d / x) / (sqrt(d) * (b * sqrt(d) + sqrt(-S(4) * a * c + b ** S(2) * d))) + S(1) ) * AppellF1( -S(2) * m + S(-2), S(1) / 2, S(1) / 2, -S(2) * m + S(-1), -S(2) * c * sqrt(d / x) / (sqrt(d) * (b * sqrt(d) - sqrt(-S(4) * a * c + b ** S(2) * d))), -S(2) * c * sqrt(d / x) / (sqrt(d) * (b * sqrt(d) + sqrt(-S(4) * a * c + b ** S(2) * d))), ) / ((m + S(1)) * sqrt(a + b * sqrt(d / x) + c / x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) / sqrt(a + b * sqrt(d / x) + c / x), x), x, x ** S(3) * sqrt(a + b * sqrt(d / x) + c / x) / (S(3) * a) - S(11) * b * d ** S(3) * sqrt(a + b * sqrt(d / x) + c / x) / (S(30) * a ** S(2) * (d / x) ** (S(5) / 2)) - x ** S(2) * (S(100) * a * c - S(99) * b ** S(2) * d) * sqrt(a + b * sqrt(d / x) + c / x) / (S(240) * a ** S(3)) + b * d ** S(2) * (S(156) * a * c - S(77) * b ** S(2) * d) * sqrt(a + b * sqrt(d / x) + c / x) / (S(160) * a ** S(4) * (d / x) ** (S(3) / 2)) + x * sqrt(a + b * sqrt(d / x) + c / x) * ( S(400) * a ** S(2) * c ** S(2) - S(1176) * a * b ** S(2) * c * d + S(385) * b ** S(4) * d ** S(2) ) / (S(640) * a ** S(5)) - S(7) * b * d * sqrt(a + b * sqrt(d / x) + c / x) * ( S(528) * a ** S(2) * c ** S(2) - S(680) * a * b ** S(2) * c * d + S(165) * b ** S(4) * d ** S(2) ) / (S(1280) * a ** S(6) * sqrt(d / x)) - ( S(320) * a ** S(3) * c ** S(3) - S(1680) * a ** S(2) * b ** S(2) * c ** S(2) * d + S(1260) * a * b ** S(4) * c * d ** S(2) - S(231) * b ** S(6) * d ** S(3) ) * atanh( (S(2) * a + b * sqrt(d / x)) / (S(2) * sqrt(a) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(512) * a ** (S(13) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x / sqrt(a + b * sqrt(d / x) + c / x), x), x, x ** S(2) * sqrt(a + b * sqrt(d / x) + c / x) / (S(2) * a) - S(7) * b * d ** S(2) * sqrt(a + b * sqrt(d / x) + c / x) / (S(12) * a ** S(2) * (d / x) ** (S(3) / 2)) - x * (S(36) * a * c - S(35) * b ** S(2) * d) * sqrt(a + b * sqrt(d / x) + c / x) / (S(48) * a ** S(3)) + S(5) * b * d * (S(44) * a * c - S(21) * b ** S(2) * d) * sqrt(a + b * sqrt(d / x) + c / x) / (S(96) * a ** S(4) * sqrt(d / x)) + ( S(48) * a ** S(2) * c ** S(2) - S(120) * a * b ** S(2) * c * d + S(35) * b ** S(4) * d ** S(2) ) * atanh( (S(2) * a + b * sqrt(d / x)) / (S(2) * sqrt(a) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(64) * a ** (S(9) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(a + b * sqrt(d / x) + c / x), x), x, x * sqrt(a + b * sqrt(d / x) + c / x) / a - S(3) * b * d * sqrt(a + b * sqrt(d / x) + c / x) / (S(2) * a ** S(2) * sqrt(d / x)) - (S(4) * a * c - S(3) * b ** S(2) * d) * atanh( (S(2) * a + b * sqrt(d / x)) / (S(2) * sqrt(a) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(4) * a ** (S(5) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x * sqrt(a + b * sqrt(d / x) + c / x)), x), x, S(2) * atanh( (S(2) * a + b * sqrt(d / x)) / (S(2) * sqrt(a) * sqrt(a + b * sqrt(d / x) + c / x)) ) / sqrt(a), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(2) * sqrt(a + b * sqrt(d / x) + c / x)), x), x, b * sqrt(d) * atanh( (b * d + S(2) * c * sqrt(d / x)) / (S(2) * sqrt(c) * sqrt(d) * sqrt(a + b * sqrt(d / x) + c / x)) ) / c ** (S(3) / 2) - S(2) * sqrt(a + b * sqrt(d / x) + c / x) / c, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(3) * sqrt(a + b * sqrt(d / x) + c / x)), x), x, -b * sqrt(d) * (S(12) * a * c - S(5) * b ** S(2) * d) * atanh( (b * d + S(2) * c * sqrt(d / x)) / (S(2) * sqrt(c) * sqrt(d) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(8) * c ** (S(7) / 2)) - S(2) * sqrt(a + b * sqrt(d / x) + c / x) / (S(3) * c * x) + sqrt(a + b * sqrt(d / x) + c / x) * (S(16) * a * c - S(15) * b ** S(2) * d + S(10) * b * c * sqrt(d / x)) / (S(12) * c ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x ** S(4) * sqrt(a + b * sqrt(d / x) + c / x)), x), x, S(9) * b * (d / x) ** (S(3) / 2) * sqrt(a + b * sqrt(d / x) + c / x) / (S(20) * c ** S(2) * d) + b * sqrt(d) * ( S(240) * a ** S(2) * c ** S(2) - S(280) * a * b ** S(2) * c * d + S(63) * b ** S(4) * d ** S(2) ) * atanh( (b * d + S(2) * c * sqrt(d / x)) / (S(2) * sqrt(c) * sqrt(d) * sqrt(a + b * sqrt(d / x) + c / x)) ) / (S(128) * c ** (S(11) / 2)) - S(2) * sqrt(a + b * sqrt(d / x) + c / x) / (S(5) * c * x ** S(2)) + (S(64) * a * c - S(63) * b ** S(2) * d) * sqrt(a + b * sqrt(d / x) + c / x) / (S(120) * c ** S(3) * x) - sqrt(a + b * sqrt(d / x) + c / x) * ( S(1024) * a ** S(2) * c ** S(2) - S(2940) * a * b ** S(2) * c * d + S(945) * b ** S(4) * d ** S(2) + S(14) * b * c * sqrt(d / x) * (S(92) * a * c - S(45) * b ** S(2) * d) ) / (S(960) * c ** S(5)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(S(1) / x) + S(1) / x), x), x, S(4) * (sqrt(S(1) / x) + S(1) / x) ** (S(3) / 2) / (S(3) * (S(1) / x) ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(sqrt(S(1) / x) + S(2) + S(1) / x), x), x, x * (sqrt(S(1) / x) / S(4) + S(1)) * sqrt(sqrt(S(1) / x) + S(2) + S(1) / x) + S(7) * sqrt(S(2)) * atanh( sqrt(S(2)) * (sqrt(S(1) / x) + S(4)) / (S(4) * sqrt(sqrt(S(1) / x) + S(2) + S(1) / x)) ) / S(16), expand=True, _diff=True, _numerical=True, ) # difference in simplify assert rubi_test(rubi_integrate(S(1)/(x + sqrt(-x**S(2) - S(2)*x + S(3))), x), x, -log(-(-x - sqrt(S(3))*sqrt(-x**S(2) - S(2)*x + S(3)) + S(3))/x**S(2))/S(2) + (-sqrt(S(7))/S(14) + S(1)/2)*log(S(1) + sqrt(S(3)) + sqrt(S(7)) - sqrt(S(3))*(-sqrt(-x**S(2) - S(2)*x + S(3)) + sqrt(S(3)))/x) + (sqrt(S(7))/S(14) + S(1)/2)*log(-sqrt(S(7)) + S(1) + sqrt(S(3)) - sqrt(S(3))*(-sqrt(-x**S(2) - S(2)*x + S(3)) + sqrt(S(3)))/x) + atan((-sqrt(-x**S(2) - S(2)*x + S(3)) + sqrt(S(3)))/x), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate((x + sqrt(-(x ** S(2)) - S(2) * x + S(3))) ** (S(-2)), x), x, ( -S(2) * sqrt(S(3)) + S(8) + S(2) * (-S(3) * sqrt(-(x ** S(2)) - S(2) * x + S(3)) + S(3) * sqrt(S(3))) / x ) / ( -S(7) * sqrt(S(3)) + S(14) - S(7) * (S(2) + S(2) * sqrt(S(3))) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x + S(7) * sqrt(S(3)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) ** S(2) / x ** S(2) ) - S(8) * sqrt(S(7)) * atanh( sqrt(S(7)) * ( S(1) + sqrt(S(3)) - sqrt(S(3)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x ) / S(7) ) / S(49), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(-(x ** S(2)) - S(2) * x + S(3))) ** (S(-3)), x), x, S(4) * sqrt(S(3)) * ( S(1) + sqrt(S(3)) - sqrt(S(3)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x ) / ( -S(49) * sqrt(S(3)) + S(98) - S(49) * (S(2) + S(2) * sqrt(S(3))) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x + S(49) * sqrt(S(3)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) ** S(2) / x ** S(2) ) - sqrt(S(3)) * ( -S(2) * sqrt(S(3)) + S(8) + S(2) * (-S(7) * sqrt(S(3)) + S(10)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x ) / ( S(21) * ( -sqrt(S(3)) + S(2) - (S(2) + S(2) * sqrt(S(3))) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x + sqrt(S(3)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) ** S(2) / x ** S(2) ) ** S(2) ) - S(12) * sqrt(S(7)) * atanh( sqrt(S(7)) * ( S(1) + sqrt(S(3)) - sqrt(S(3)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x ) / S(7) ) / S(343) + (S(6) + S(4) * sqrt(S(3))) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) ** S(2) / ( S(3) * x ** S(2) * ( -sqrt(S(3)) + S(2) - (S(2) + S(2) * sqrt(S(3))) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x + sqrt(S(3)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) ** S(2) / x ** S(2) ) ** S(2) ) - S(2) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) ** S(3) / ( x ** S(3) * ( -sqrt(S(3)) + S(2) - (S(2) + S(2) * sqrt(S(3))) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) / x + sqrt(S(3)) * (-sqrt(-(x ** S(2)) - S(2) * x + S(3)) + sqrt(S(3))) ** S(2) / x ** S(2) ) ** S(2) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x + sqrt(x ** S(2) - S(2) * x + S(-3))), x), x, -S(3) * log(x + sqrt(x ** S(2) - S(2) * x + S(-3))) / S(2) + S(2) * log(-x - sqrt(x ** S(2) - S(2) * x + S(-3)) + S(1)) - S(2) / (-x - sqrt(x ** S(2) - S(2) * x + S(-3)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(x ** S(2) - S(2) * x + S(-3))) ** (S(-2)), x), x, -S(4) * log(x + sqrt(x ** S(2) - S(2) * x + S(-3))) + S(4) * log(-x - sqrt(x ** S(2) - S(2) * x + S(-3)) + S(1)) - S(2) / (-x - sqrt(x ** S(2) - S(2) * x + S(-3)) + S(1)) + S(3) / (S(2) * x + S(2) * sqrt(x ** S(2) - S(2) * x + S(-3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(x ** S(2) - S(2) * x + S(-3))) ** (S(-3)), x), x, -S(6) * log(x + sqrt(x ** S(2) - S(2) * x + S(-3))) + S(6) * log(-x - sqrt(x ** S(2) - S(2) * x + S(-3)) + S(1)) - S(2) / (-x - sqrt(x ** S(2) - S(2) * x + S(-3)) + S(1)) + S(4) / (x + sqrt(x ** S(2) - S(2) * x + S(-3))) + S(3) / (S(4) * (x + sqrt(x ** S(2) - S(2) * x + S(-3))) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (x + sqrt(-(x ** S(2)) - S(4) * x + S(-3))), x), x, log( (x * sqrt(-x + S(-1)) + x * sqrt(x + S(3)) + S(3) * sqrt(-x + S(-1))) / (x + S(3)) ** (S(3) / 2) ) / S(2) - log(S(1) / (x + S(3))) / S(2) - sqrt(S(2)) * atan(sqrt(S(2)) * (-S(3) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(1)) / S(2)) - atan(sqrt(-x + S(-1)) / sqrt(x + S(3))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(-(x ** S(2)) - S(4) * x + S(-3))) ** (S(-2)), x), x, (-sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(1)) / ( -S(2) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(1) - (S(3) * x + S(3)) / (x + S(3)) ) + sqrt(S(2)) * atan(sqrt(S(2)) * (-S(3) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(1)) / S(2)) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((x + sqrt(-(x ** S(2)) - S(4) * x + S(-3))) ** (S(-3)), x), x, -(-S(9) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(5)) / ( -S(18) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(9) - S(9) * (S(3) * x + S(3)) / (x + S(3)) ) - (-S(3) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(1)) / ( -S(12) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(6) - S(6) * (S(3) * x + S(3)) / (x + S(3)) ) - (-S(2) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(4)) / ( S(9) * ( -S(2) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(1) - (S(3) * x + S(3)) / (x + S(3)) ) ** S(2) ) - S(3) * sqrt(S(2)) * atan(sqrt(S(2)) * (-S(3) * sqrt(-x + S(-1)) / sqrt(x + S(3)) + S(1)) / S(2)) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(3) * (x + S(1)) ** S(3) * (S(2) * x + S(1)) * sqrt(-(x ** S(4)) - S(2) * x ** S(3) - x ** S(2) + S(1)), x, ), x, -((-(x ** S(4)) - S(2) * x ** S(3) - x ** S(2) + S(1)) ** (S(3) / 2)) * (S(3) * x ** S(4) + S(6) * x ** S(3) + S(3) * x ** S(2) + S(2)) / S(15), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( x ** S(3) * (x + S(1)) ** S(3) * (S(2) * x + S(1)) * sqrt(-(x ** S(4)) - S(2) * x ** S(3) - x ** S(2) + S(1)), x, ), x, -((-S(4) * (x + S(1) / 2) ** S(2) + S(1)) ** S(2)) * (-S(16) * (x + S(1) / 2) ** S(4) + S(8) * (x + S(1) / 2) ** S(2) + S(15)) ** (S(3) / 2) / S(5120) - (-S(16) * (x + S(1) / 2) ** S(4) + S(8) * (x + S(1) / 2) ** S(2) + S(15)) ** (S(3) / 2) / S(480), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(2) * x + S(1)) * (x ** S(2) + x) ** S(3) * sqrt(-((x ** S(2) + x) ** S(2)) + S(1)), x, ), x, -((-(x ** S(4)) - S(2) * x ** S(3) - x ** S(2) + S(1)) ** (S(3) / 2)) * (S(3) * x ** S(4) + S(6) * x ** S(3) + S(3) * x ** S(2) + S(2)) / S(15), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( (S(2) * x + S(1)) * (x ** S(2) + x) ** S(3) * sqrt(-((x ** S(2) + x) ** S(2)) + S(1)), x, ), x, -((-S(4) * (x + S(1) / 2) ** S(2) + S(1)) ** S(2)) * (-S(16) * (x + S(1) / 2) ** S(4) + S(8) * (x + S(1) / 2) ** S(2) + S(15)) ** (S(3) / 2) / S(5120) - (-S(16) * (x + S(1) / 2) ** S(4) + S(8) * (x + S(1) / 2) ** S(2) + S(15)) ** (S(3) / 2) / S(480), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) + S(3) * x ** S(2) + S(3) * x) / (x ** S(4) + S(4) * x ** S(3) + S(6) * x ** S(2) + S(4) * x + S(1)), x, ), x, log(x + S(1)) + S(1) / (S(3) * (x + S(1)) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(3) - S(3) * x ** S(2) + S(3) * x + S(-1)) / (x ** S(4) + S(4) * x ** S(3) + S(6) * x ** S(2) + S(4) * x + S(1)), x, ), x, log(x + S(1)) + S(6) / (x + S(1)) - S(6) / (x + S(1)) ** S(2) + S(8) / (S(3) * (x + S(1)) ** S(3)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(4)) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** (S(3) / 2), x, ), x, (x + S(-1)) * (-S(6) * (x + S(-1)) ** S(2) / S(35) + S(26) / 35) * sqrt(-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3)) + (x + S(-1)) * (-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) / S(7) - S(16) * sqrt(S(3)) * elliptic_e(asin(x + S(-1)), S(-1) / 3) / S(5) + S(176) * sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(35), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(-(x ** S(4)) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x ), x, (x + S(-1)) * sqrt(-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3)) / S(3) - S(2) * sqrt(S(3)) * elliptic_e(asin(x + S(-1)), S(-1) / 3) / S(3) + S(4) * sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / sqrt(-(x ** S(4)) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x, ), x, sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(4)) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** (S(-3) / 2), x, ), x, (x + S(-1)) * ((x + S(-1)) ** S(2) + S(5)) / (S(24) * sqrt(-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3))) - sqrt(S(3)) * elliptic_e(asin(x + S(-1)), S(-1) / 3) / S(24) + sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(12), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (-(x ** S(4)) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** (S(-5) / 2), x, ), x, (x + S(-1)) * ((x + S(-1)) ** S(2) + S(5)) / ( S(72) * (-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) ) + (x + S(-1)) * (S(7) * (x + S(-1)) ** S(2) + S(26)) / (S(432) * sqrt(-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3))) - S(7) * sqrt(S(3)) * elliptic_e(asin(x + S(-1)), S(-1) / 3) / S(432) + S(11) * sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(432), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x * (-x + S(2)) * (x ** S(2) - S(2) * x + S(4))) ** (S(3) / 2), x ), x, (x + S(-1)) * (-S(6) * (x + S(-1)) ** S(2) / S(35) + S(26) / 35) * sqrt(-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3)) + (x + S(-1)) * (-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) / S(7) - S(16) * sqrt(S(3)) * elliptic_e(asin(x + S(-1)), S(-1) / 3) / S(5) + S(176) * sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(35), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x * (-x + S(2)) * (x ** S(2) - S(2) * x + S(4))), x), x, (x + S(-1)) * sqrt(-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3)) / S(3) - S(2) * sqrt(S(3)) * elliptic_e(asin(x + S(-1)), S(-1) / 3) / S(3) + S(4) * sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(x * (-x + S(2)) * (x ** S(2) - S(2) * x + S(4))), x), x, sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x * (-x + S(2)) * (x ** S(2) - S(2) * x + S(4))) ** (S(-3) / 2), x ), x, (x + S(-1)) * ((x + S(-1)) ** S(2) + S(5)) / (S(24) * sqrt(-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3))) - sqrt(S(3)) * elliptic_e(asin(x + S(-1)), S(-1) / 3) / S(24) + sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(12), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x * (-x + S(2)) * (x ** S(2) - S(2) * x + S(4))) ** (S(-5) / 2), x ), x, (x + S(-1)) * ((x + S(-1)) ** S(2) + S(5)) / ( S(72) * (-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) ) + (x + S(-1)) * (S(7) * (x + S(-1)) ** S(2) + S(26)) / (S(432) * sqrt(-((x + S(-1)) ** S(4)) - S(2) * (x + S(-1)) ** S(2) + S(3))) - S(7) * sqrt(S(3)) * elliptic_e(asin(x + S(-1)), S(-1) / 3) / S(432) + S(11) * sqrt(S(3)) * elliptic_f(asin(x + S(-1)), S(-1) / 3) / S(432), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ) ** S(4), x, ), x, -S(8) * c ** S(5) * (S(4) * a * d ** S(2) + c ** S(3)) ** S(3) * (c / d + x) ** S(3) / (S(3) * d ** S(6)) - S(8) * c ** S(4) * (S(4) * a * d ** S(2) + c ** S(3)) * (S(12) * a * d ** S(2) + S(7) * c ** S(3)) * (c / d + x) ** S(7) / (S(7) * d ** S(2)) + c ** S(4) * x * (S(4) * a * d ** S(2) + c ** S(3)) ** S(4) / d ** S(8) - S(8) * c ** S(3) * d ** S(2) * (S(12) * a * d ** S(2) + S(7) * c ** S(3)) * (c / d + x) ** S(11) / S(11) + S(4) * c ** S(3) * (S(4) * a * d ** S(2) + c ** S(3)) ** S(2) * (S(4) * a * d ** S(2) + S(7) * c ** S(3)) * (c / d + x) ** S(5) / (S(5) * d ** S(4)) - S(8) * c ** S(2) * d ** S(6) * (c / d + x) ** S(15) / S(15) + S(2) * c ** S(2) * (c / d + x) ** S(9) * ( S(48) * a ** S(2) * d ** S(4) + S(120) * a * c ** S(3) * d ** S(2) + S(35) * c ** S(6) ) / S(9) + S(4) * c * d ** S(4) * (S(4) * a * d ** S(2) + S(7) * c ** S(3)) * (c / d + x) ** S(13) / S(13) + d ** S(8) * (c / d + x) ** S(17) / S(17), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ) ** S(3), x, ), x, S(64) * a ** S(3) * c ** S(3) * x + S(64) * a ** S(2) * c ** S(4) * x ** S(3) + S(48) * a ** S(2) * c ** S(3) * d * x ** S(4) + S(64) * a * c ** S(4) * d * x ** S(6) + S(48) * a * c ** S(2) * x ** S(5) * (a * d ** S(2) + S(4) * c ** S(3)) / S(5) + S(16) * c ** S(3) * d ** S(3) * x ** S(10) + S(32) * c ** S(3) * x ** S(7) * (S(9) * a * d ** S(2) + S(2) * c ** S(3)) / S(7) + S(60) * c ** S(2) * d ** S(4) * x ** S(11) / S(11) + S(12) * c ** S(2) * d * x ** S(8) * (a * d ** S(2) + S(2) * c ** S(3)) + c * d ** S(5) * x ** S(12) + S(4) * c * d ** S(2) * x ** S(9) * (a * d ** S(2) + S(20) * c ** S(3)) / S(3) + d ** S(6) * x ** S(13) / S(13), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ) ** S(2), x, ), x, S(16) * a ** S(2) * c ** S(2) * x + S(32) * a * c ** S(3) * x ** S(3) / S(3) + S(8) * a * c ** S(2) * d * x ** S(4) + S(16) * c ** S(3) * d * x ** S(6) / S(3) + S(24) * c ** S(2) * d ** S(2) * x ** S(7) / S(7) + c * d ** S(3) * x ** S(8) + S(8) * c * x ** S(5) * (a * d ** S(2) + S(2) * c ** S(3)) / S(5) + d ** S(4) * x ** S(9) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4), x, ), x, S(4) * a * c * x + S(4) * c ** S(2) * x ** S(3) / S(3) + c * d * x ** S(4) + d ** S(2) * x ** S(5) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ), x, ), x, -atanh( d * (c / d + x) / (c ** (S(1) / 4) * sqrt(c ** (S(3) / 2) + S(2) * d * sqrt(-a))) ) / ( S(4) * c ** (S(3) / 4) * sqrt(-a) * sqrt(c ** (S(3) / 2) + S(2) * d * sqrt(-a)) ) + atanh( d * (c / d + x) / (c ** (S(1) / 4) * sqrt(c ** (S(3) / 2) - S(2) * d * sqrt(-a))) ) / ( S(4) * c ** (S(3) / 4) * sqrt(-a) * sqrt(c ** (S(3) / 2) - S(2) * d * sqrt(-a)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ) ** (S(-2)), x, ), x, (S(6) * a * d ** S(2) + c ** (S(3) / 2) * d * sqrt(-a) + c ** S(3)) * atanh( d * (c / d + x) / (c ** (S(1) / 4) * sqrt(c ** (S(3) / 2) + S(2) * d * sqrt(-a))) ) / ( S(32) * c ** (S(7) / 4) * (-a) ** (S(3) / 2) * sqrt(c ** (S(3) / 2) + S(2) * d * sqrt(-a)) * (S(4) * a * d ** S(2) + c ** S(3)) ) - (S(6) * a * d ** S(2) - c ** (S(3) / 2) * d * sqrt(-a) + c ** S(3)) * atanh( d * (c / d + x) / (c ** (S(1) / 4) * sqrt(c ** (S(3) / 2) - S(2) * d * sqrt(-a))) ) / ( S(32) * c ** (S(7) / 4) * (-a) ** (S(3) / 2) * sqrt(c ** (S(3) / 2) - S(2) * d * sqrt(-a)) * (S(4) * a * d ** S(2) + c ** S(3)) ) - (c / d + x) * (-S(4) * a * d ** S(2) + c ** S(3) - c * d ** S(2) * (c / d + x) ** S(2)) / ( S(16) * a * c * (S(4) * a * d ** S(2) + c ** S(3)) * ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ) ** (S(3) / 2), x, ), x, S(16) * c ** (S(13) / 4) * sqrt( ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( (S(4) * a + c ** S(3) / d ** S(2)) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) ** S(2) ) ) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(3) / 4) * (S(8) * a * d ** S(2) + c ** S(3)) * elliptic_e( S(2) * atan( d * (c / d + x) / (c ** (S(1) / 4) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4)) ), c ** (S(3) / 2) / (S(2) * sqrt(S(4) * a * d ** S(2) + c ** S(3))) + S(1) / 2, ) / ( S(35) * d ** S(5) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ) + S(8) * c ** (S(7) / 4) * sqrt( ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( (S(4) * a + c ** S(3) / d ** S(2)) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) ** S(2) ) ) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(3) / 4) * ( -(c ** (S(3) / 2)) * (S(8) * a * d ** S(2) + c ** S(3)) + sqrt(S(4) * a * d ** S(2) + c ** S(3)) * (S(5) * a * d ** S(2) + c ** S(3)) ) * elliptic_f( S(2) * atan( d * (c / d + x) / (c ** (S(1) / 4) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4)) ), c ** (S(3) / 2) / (S(2) * sqrt(S(4) * a * d ** S(2) + c ** S(3))) + S(1) / 2, ) / ( S(35) * d ** S(5) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ) - S(16) * c ** S(3) * (S(8) * a * d ** S(2) + c ** S(3)) * (c / d + x) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( S(35) * d ** S(2) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) + S(2) * c * (c / d + x) * ( S(20) * a * d ** S(2) + S(7) * c ** S(3) - S(3) * c * d ** S(2) * (c / d + x) ** S(2) ) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / (S(35) * d ** S(2)) + (c / (S(7) * d) + x / S(7)) * ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ** (S(3) / 2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ), x, ), x, S(2) * c ** (S(9) / 4) * sqrt( ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( (S(4) * a + c ** S(3) / d ** S(2)) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) ** S(2) ) ) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(3) / 4) * elliptic_e( S(2) * atan( d * (c / d + x) / (c ** (S(1) / 4) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4)) ), c ** (S(3) / 2) / (S(2) * sqrt(S(4) * a * d ** S(2) + c ** S(3))) + S(1) / 2, ) / ( S(3) * d ** S(3) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ) + c ** (S(3) / 4) * sqrt( ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( (S(4) * a + c ** S(3) / d ** S(2)) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) ** S(2) ) ) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4) * ( S(4) * a * d ** S(2) - c ** (S(3) / 2) * sqrt(S(4) * a * d ** S(2) + c ** S(3)) + c ** S(3) ) * elliptic_f( S(2) * atan( d * (c / d + x) / (c ** (S(1) / 4) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4)) ), c ** (S(3) / 2) / (S(2) * sqrt(S(4) * a * d ** S(2) + c ** S(3))) + S(1) / 2, ) / ( S(3) * d ** S(3) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ) - S(2) * c ** S(2) * (c / d + x) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( S(3) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) + (c / (S(3) * d) + x / S(3)) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / sqrt( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ), x, ), x, sqrt( ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( (S(4) * a + c ** S(3) / d ** S(2)) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) ** S(2) ) ) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4) * elliptic_f( S(2) * atan( d * (c / d + x) / (c ** (S(1) / 4) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4)) ), c ** (S(3) / 2) / (S(2) * sqrt(S(4) * a * d ** S(2) + c ** S(3))) + S(1) / 2, ) / ( S(2) * c ** (S(1) / 4) * d * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(4) * a * c + S(4) * c ** S(2) * x ** S(2) + S(4) * c * d * x ** S(3) + d ** S(2) * x ** S(4) ) ** (S(-3) / 2), x, ), x, c ** (S(1) / 4) * sqrt( ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( (S(4) * a + c ** S(3) / d ** S(2)) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) ** S(2) ) ) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * elliptic_e( S(2) * atan( d * (c / d + x) / (c ** (S(1) / 4) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4)) ), c ** (S(3) / 2) / (S(2) * sqrt(S(4) * a * d ** S(2) + c ** S(3))) + S(1) / 2, ) / ( S(8) * a * d * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ) - d ** S(2) * (c / d + x) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( S(8) * a * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(3) / 2) ) - (c / d + x) * (-S(4) * a * d ** S(2) + c ** S(3) - c * d ** S(2) * (c / d + x) ** S(2)) / ( S(8) * a * c * (S(4) * a * d ** S(2) + c ** S(3)) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ) + sqrt( ( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) / ( (S(4) * a + c ** S(3) / d ** S(2)) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) ** S(2) ) ) * ( sqrt(c) + d ** S(2) * (c / d + x) ** S(2) / sqrt(S(4) * a * d ** S(2) + c ** S(3)) ) * ( S(4) * a * d ** S(2) - c ** (S(3) / 2) * sqrt(S(4) * a * d ** S(2) + c ** S(3)) + c ** S(3) ) * elliptic_f( S(2) * atan( d * (c / d + x) / (c ** (S(1) / 4) * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(1) / 4)) ), c ** (S(3) / 2) / (S(2) * sqrt(S(4) * a * d ** S(2) + c ** S(3))) + S(1) / 2, ) / ( S(16) * a * c ** (S(5) / 4) * d * (S(4) * a * d ** S(2) + c ** S(3)) ** (S(3) / 4) * sqrt( -S(2) * c ** S(2) * (c / d + x) ** S(2) + c * (S(4) * a + c ** S(3) / d ** S(2)) + d ** S(2) * (c / d + x) ** S(4) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(8) * a * e ** S(2) - d ** S(3) * x + S(8) * d * e ** S(2) * x ** S(3) + S(8) * e ** S(3) * x ** S(4) ) ** S(4), x, ), x, -S(2048) * d ** S(2) * e ** S(10) * (d / (S(4) * e) + x) ** S(15) / S(5) - S(72) * d ** S(2) * e ** S(6) * (S(256) * a * e ** S(3) + S(17) * d ** S(4)) * (d / (S(4) * e) + x) ** S(11) / S(11) - S(9) * d ** S(2) * e ** S(2) * (d / (S(4) * e) + x) ** S(7) * ( S(65536) * a ** S(2) * e ** S(6) + S(5632) * a * d ** S(4) * e ** S(3) + S(85) * d ** S(8) ) / S(224) - d ** S(2) * (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** S(3) * (d / (S(4) * e) + x) ** S(3) / (S(8192) * e ** S(2)) + S(4096) * e ** S(12) * (d / (S(4) * e) + x) ** S(17) / S(17) + S(64) * e ** S(8) * (S(256) * a * e ** S(3) + S(59) * d ** S(4)) * (d / (S(4) * e) + x) ** S(13) / S(13) + e ** S(4) * (d / (S(4) * e) + x) ** S(9) * ( S(65536) * a ** S(2) * e ** S(6) + S(20992) * a * d ** S(4) * e ** S(3) + S(601) * d ** S(8) ) / S(24) + (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** S(2) * (S(256) * a * e ** S(3) + S(59) * d ** S(4)) * (d / (S(4) * e) + x) ** S(5) / S(5120) + x * (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** S(4) / (S(1048576) * e ** S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(8) * a * e ** S(2) - d ** S(3) * x + S(8) * d * e ** S(2) * x ** S(3) + S(8) * e ** S(3) * x ** S(4) ) ** S(3), x, ), x, S(512) * a ** S(3) * e ** S(6) * x - S(96) * a ** S(2) * d ** S(3) * e ** S(4) * x ** S(2) + S(8) * a * d ** S(6) * e ** S(2) * x ** S(3) - S(384) * a * e ** S(4) * x ** S(5) * (-S(4) * a * e ** S(3) + d ** S(4)) / S(5) + S(32) * d ** S(3) * e ** S(6) * x ** S(10) + S(4) * d ** S(3) * e ** S(2) * x ** S(6) * (-S(16) * a * e ** S(3) + d ** S(4)) + S(1536) * d ** S(2) * e ** S(7) * x ** S(11) / S(11) + S(24) * d ** S(2) * e ** S(3) * x ** S(7) * (S(64) * a * e ** S(3) + d ** S(4)) / S(7) + S(128) * d * e ** S(8) * x ** S(12) - S(24) * d * e ** S(4) * x ** S(8) * (-S(16) * a * e ** S(3) + d ** S(4)) - d * x ** S(4) * (-S(1536) * a ** S(2) * e ** S(6) + d ** S(8)) / S(4) + S(512) * e ** S(9) * x ** S(13) / S(13) - S(128) * e ** S(5) * x ** S(9) * (-S(4) * a * e ** S(3) + d ** S(4)) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(8) * a * e ** S(2) - d ** S(3) * x + S(8) * d * e ** S(2) * x ** S(3) + S(8) * e ** S(3) * x ** S(4) ) ** S(2), x, ), x, S(64) * a ** S(2) * e ** S(4) * x - S(8) * a * d ** S(3) * e ** S(2) * x ** S(2) + S(32) * a * d * e ** S(4) * x ** S(4) + d ** S(6) * x ** S(3) / S(3) - S(8) * d ** S(3) * e ** S(3) * x ** S(6) / S(3) + S(64) * d ** S(2) * e ** S(4) * x ** S(7) / S(7) + S(16) * d * e ** S(5) * x ** S(8) + S(64) * e ** S(6) * x ** S(9) / S(9) - S(16) * e ** S(2) * x ** S(5) * (-S(8) * a * e ** S(3) + d ** S(4)) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(8) * a * e ** S(2) - d ** S(3) * x + S(8) * d * e ** S(2) * x ** S(3) + S(8) * e ** S(3) * x ** S(4), x, ), x, S(8) * a * e ** S(2) * x - d ** S(3) * x ** S(2) / S(2) + S(2) * d * e ** S(2) * x ** S(4) + S(8) * e ** S(3) * x ** S(5) / S(5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( S(8) * a * e ** S(2) - d ** S(3) * x + S(8) * d * e ** S(2) * x ** S(3) + S(8) * e ** S(3) * x ** S(4) ), x, ), x, -S(2) * atanh( S(4) * e * (d / (S(4) * e) + x) / sqrt(S(3) * d ** S(2) + S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4))) ) / ( sqrt(S(3) * d ** S(2) + S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4))) * sqrt(-S(64) * a * e ** S(3) + d ** S(4)) ) + S(2) * atanh( S(4) * e * (d / (S(4) * e) + x) / sqrt(S(3) * d ** S(2) - S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4))) ) / ( sqrt(S(3) * d ** S(2) - S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4))) * sqrt(-S(64) * a * e ** S(3) + d ** S(4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( ( S(8) * a * e ** S(2) - d ** S(3) * x + S(8) * d * e ** S(2) * x ** S(3) + S(8) * e ** S(3) * x ** S(4) ) ** (S(-2)), x, ), x, S(64) * e * (d / (S(4) * e) + x) * ( -S(256) * a * e ** S(3) + S(13) * d ** S(4) - S(48) * d ** S(2) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) ) / ( ( -S(16384) * a ** S(2) * e ** S(6) - S(64) * a * d ** S(4) * e ** S(3) + S(5) * d ** S(8) ) * ( S(256) * a * e ** S(2) + S(5) * d ** S(4) / e - S(96) * d ** S(2) * e * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(3) * (d / (S(4) * e) + x) ** S(4) ) ) + S(24) * e * ( S(128) * a * e ** S(3) + d ** S(4) + d ** S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4)) ) * atanh( S(4) * e * (d / (S(4) * e) + x) / sqrt(S(3) * d ** S(2) + S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4))) ) / ( sqrt(S(3) * d ** S(2) + S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4))) * (-S(64) * a * e ** S(3) + d ** S(4)) ** (S(3) / 2) * (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ) - S(24) * e * ( S(128) * a * e ** S(3) + d ** S(4) - d ** S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4)) ) * atanh( S(4) * e * (d / (S(4) * e) + x) / sqrt(S(3) * d ** S(2) - S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4))) ) / ( sqrt(S(3) * d ** S(2) - S(2) * sqrt(-S(64) * a * e ** S(3) + d ** S(4))) * (-S(64) * a * e ** S(3) + d ** S(4)) ** (S(3) / 2) * (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt( S(8) * a * e ** S(2) - d ** S(3) * x + S(8) * d * e ** S(2) * x ** S(3) + S(8) * e ** S(3) * x ** S(4) ), x, ), x, -sqrt(S(2)) * d ** S(2) * (d / (S(4) * e) + x) * sqrt( S(256) * a * e ** S(2) + S(5) * d ** S(4) / e - S(96) * d ** S(2) * e * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(3) * (d / (S(4) * e) + x) ** S(4) ) / ( S(4) * sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) * ( S(16) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) / sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) + S(1) ) ) + sqrt(S(2)) * d ** S(2) * sqrt( ( S(256) * a * e ** S(3) + S(5) * d ** S(4) - S(96) * d ** S(2) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(4) * (d / (S(4) * e) + x) ** S(4) ) / ( (S(256) * a * e ** S(3) + S(5) * d ** S(4)) * ( S(16) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) / sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) + S(1) ) ** S(2) ) ) * (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** (S(3) / 4) * ( S(16) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) / sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) + S(1) ) * elliptic_e( S(2) * atan( S(4) * e * (d / (S(4) * e) + x) / (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** (S(1) / 4) ), S(3) * d ** S(2) / (S(2) * sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4))) + S(1) / 2, ) / ( S(16) * e ** S(2) * sqrt( S(256) * a * e ** S(2) + S(5) * d ** S(4) / e - S(96) * d ** S(2) * e * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(3) * (d / (S(4) * e) + x) ** S(4) ) ) + sqrt(S(2)) * (d / (S(4) * e) + x) * sqrt( S(256) * a * e ** S(2) + S(5) * d ** S(4) / e - S(96) * d ** S(2) * e * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(3) * (d / (S(4) * e) + x) ** S(4) ) / S(24) + sqrt(S(2)) * sqrt( ( S(256) * a * e ** S(3) + S(5) * d ** S(4) - S(96) * d ** S(2) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(4) * (d / (S(4) * e) + x) ** S(4) ) / ( (S(256) * a * e ** S(3) + S(5) * d ** S(4)) * ( S(16) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) / sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) + S(1) ) ** S(2) ) ) * (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** (S(1) / 4) * ( S(16) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) / sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) + S(1) ) * ( S(256) * a * e ** S(3) + S(5) * d ** S(4) - S(3) * d ** S(2) * sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) ) * elliptic_f( S(2) * atan( S(4) * e * (d / (S(4) * e) + x) / (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** (S(1) / 4) ), S(3) * d ** S(2) / (S(2) * sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4))) + S(1) / 2, ) / ( S(96) * e ** S(2) * sqrt( S(256) * a * e ** S(2) + S(5) * d ** S(4) / e - S(96) * d ** S(2) * e * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(3) * (d / (S(4) * e) + x) ** S(4) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / sqrt( S(8) * a * e ** S(2) - d ** S(3) * x + S(8) * d * e ** S(2) * x ** S(3) + S(8) * e ** S(3) * x ** S(4) ), x, ), x, sqrt(S(2)) * sqrt( ( S(256) * a * e ** S(3) + S(5) * d ** S(4) - S(96) * d ** S(2) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(4) * (d / (S(4) * e) + x) ** S(4) ) / ( (S(256) * a * e ** S(3) + S(5) * d ** S(4)) * ( S(16) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) / sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) + S(1) ) ** S(2) ) ) * (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** (S(1) / 4) * ( S(16) * e ** S(2) * (d / (S(4) * e) + x) ** S(2) / sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4)) + S(1) ) * elliptic_f( S(2) * atan( S(4) * e * (d / (S(4) * e) + x) / (S(256) * a * e ** S(3) + S(5) * d ** S(4)) ** (S(1) / 4) ), S(3) * d ** S(2) / (S(2) * sqrt(S(256) * a * e ** S(3) + S(5) * d ** S(4))) + S(1) / 2, ) / ( S(2) * e * sqrt( S(256) * a * e ** S(2) + S(5) * d ** S(4) / e - S(96) * d ** S(2) * e * (d / (S(4) * e) + x) ** S(2) + S(256) * e ** S(3) * (d / (S(4) * e) + x) ** S(4) ) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(4), x ), x, x * (a + S(3)) ** S(4) + (-S(4) * a / S(5) + S(12) / 5) * (a + S(3)) ** S(2) * (x + S(-1)) ** S(5) + (-S(4) * a / S(13) + S(12) / 13) * (x + S(-1)) ** S(13) - S(8) * (a + S(3)) ** S(3) * (x + S(-1)) ** S(3) / S(3) + (S(8) * a / S(7) + S(24) / 7) * (S(3) * a + S(5)) * (x + S(-1)) ** S(7) - (S(24) * a / S(11) + S(40) / 11) * (x + S(-1)) ** S(11) + (x + S(-1)) ** S(17) / S(17) + S(8) * (x + S(-1)) ** S(15) / S(15) - (x + S(-1)) ** S(9) * (-S(2) * a ** S(2) / S(3) + S(4) * a / S(3) + S(74) / 9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(3), x ), x, a ** S(3) * x + S(12) * a ** S(2) * x ** S(2) + a * x ** S(3) * (-S(8) * a + S(64)) - x ** S(13) / S(13) + x ** S(12) - S(72) * x ** S(11) / S(11) + S(28) * x ** S(10) - x ** S(9) * (-a / S(3) + S(256) / 3) + x ** S(8) * (-S(3) * a + S(192)) - x ** S(7) * (-S(96) * a / S(7) + S(320)) + x ** S(6) * (-S(40) * a + S(384)) - x ** S(5) * (S(3) * a ** S(2) / S(5) - S(384) * a / S(5) + S(1536) / 5) + x ** S(4) * (S(3) * a ** S(2) - S(96) * a + S(128)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(2), x ), x, a ** S(2) * x + S(8) * a * x ** S(2) + x ** S(9) / S(9) - x ** S(8) + S(32) * x ** S(7) / S(7) - S(40) * x ** S(6) / S(3) + x ** S(5) * (-S(2) * a / S(5) + S(128) / 5) - x ** S(4) * (-S(2) * a + S(32)) + x ** S(3) * (-S(16) * a / S(3) + S(64) / 3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x, x ), x, a * x - x ** S(5) / S(5) + x ** S(4) - S(8) * x ** S(3) / S(3) + S(4) * x ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x ), x, atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))) / (S(2) * sqrt(a + S(4)) * sqrt(sqrt(a + S(4)) + S(1))) - atan((x + S(-1)) / sqrt(-sqrt(a + S(4)) + S(1))) / (S(2) * sqrt(a + S(4)) * sqrt(-sqrt(a + S(4)) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** (S(-2)), x, ), x, (x + S(-1)) * (a + (x + S(-1)) ** S(2) + S(5)) / ( (S(4) * a ** S(2) + S(28) * a + S(48)) * (a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + (S(3) * a - sqrt(a + S(4)) + S(10)) * atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))) / ((a + S(4)) ** (S(3) / 2) * (S(8) * a + S(24)) * sqrt(sqrt(a + S(4)) + S(1))) - (S(3) * a + sqrt(a + S(4)) + S(10)) * atan((x + S(-1)) / sqrt(-sqrt(a + S(4)) + S(1))) / ( (a + S(4)) ** (S(3) / 2) * (S(8) * a + S(24)) * sqrt(-sqrt(a + S(4)) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(4), x, ), x, a ** S(4) * x ** S(2) / S(2) + S(32) * a ** S(3) * x ** S(3) / S(3) + a ** S(2) * x ** S(4) * (-S(8) * a + S(96)) + S(16) * a * x ** S(5) * (a ** S(2) - S(48) * a + S(128)) / S(5) + x ** S(18) / S(18) - S(16) * x ** S(17) / S(17) + S(8) * x ** S(16) - S(224) * x ** S(15) / S(5) + x ** S(14) * (-S(2) * a / S(7) + S(1280) / 7) - x ** S(13) * (-S(48) * a / S(13) + S(7424) / 13) + x ** S(12) * (-S(24) * a + S(4192) / 3) - x ** S(11) * (-S(1120) * a / S(11) + S(29696) / 11) + x ** S(10) * (S(3) * a ** S(2) / S(5) - S(1536) * a / S(5) + S(4096)) - x ** S(9) * (S(16) * a ** S(2) / S(3) - S(2048) * a / S(3) + S(14336) / 3) + x ** S(8) * (-S(24) * a + S(1024)) * (-a + S(4)) - x ** S(7) * (S(480) * a ** S(2) / S(7) - S(9216) * a / S(7) + S(16384) / 7) + x ** S(6) * (-S(2) * a ** S(3) / S(3) + S(128) * a ** S(2) - S(1024) * a + S(2048) / 3), expand=True, _diff=True, _numerical=True, ) # long time in rubi_int assert rubi_test(rubi_integrate(x*(a - x**S(4) + S(4)*x**S(3) - S(8)*x**S(2) + S(8)*x)**S(3), x), x, a**S(3)*x**S(2)/S(2) + S(8)*a**S(2)*x**S(3) + a*x**S(4)*(-S(6)*a + S(48)) - x**S(14)/S(14) + S(12)*x**S(13)/S(13) - S(6)*x**S(12) + S(280)*x**S(11)/S(11) - x**S(10)*(-S(3)*a/S(10) + S(384)/5) + x**S(9)*(-S(8)*a/S(3) + S(512)/3) - x**S(8)*(-S(12)*a + S(280)) + x**S(7)*(-S(240)*a/S(7) + S(2304)/7) - x**S(6)*(a**S(2)/S(2) - S(64)*a + S(256)) + x**S(5)*(S(12)*a**S(2)/S(5) - S(384)*a/S(5) + S(512)/5), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate( x * (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(2), x, ), x, a ** S(2) * x ** S(2) / S(2) + S(16) * a * x ** S(3) / S(3) + x ** S(10) / S(10) - S(8) * x ** S(9) / S(9) + S(4) * x ** S(8) - S(80) * x ** S(7) / S(7) + x ** S(6) * (-a / S(3) + S(64) / 3) - x ** S(5) * (-S(8) * a / S(5) + S(128) / 5) + x ** S(4) * (-S(4) * a + S(16)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x ), x, a * x ** S(2) / S(2) - x ** S(6) / S(6) + S(4) * x ** S(5) / S(5) - S(2) * x ** S(4) + S(8) * x ** S(3) / S(3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x ), x, atanh(((x + S(-1)) ** S(2) + S(1)) / sqrt(a + S(4))) / (S(2) * sqrt(a + S(4))) + atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))) / (S(2) * sqrt(a + S(4)) * sqrt(sqrt(a + S(4)) + S(1))) - atan((x + S(-1)) / sqrt(-sqrt(a + S(4)) + S(1))) / (S(2) * sqrt(a + S(4)) * sqrt(-sqrt(a + S(4)) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(2), x, ), x, (x + S(-1)) * ( a + (a + S(5)) * (x + S(-1)) + (x + S(-1)) ** S(3) + (x + S(-1)) ** S(2) + S(5) ) / ( (S(4) * a ** S(2) + S(28) * a + S(48)) * (a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + atanh(((x + S(-1)) ** S(2) + S(1)) / sqrt(a + S(4))) / (S(4) * (a + S(4)) ** (S(3) / 2)) + (S(3) * a - sqrt(a + S(4)) + S(10)) * atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))) / ((a + S(4)) ** (S(3) / 2) * (S(8) * a + S(24)) * sqrt(sqrt(a + S(4)) + S(1))) - (S(3) * a + sqrt(a + S(4)) + S(10)) * atan((x + S(-1)) / sqrt(-sqrt(a + S(4)) + S(1))) / ( (a + S(4)) ** (S(3) / 2) * (S(8) * a + S(24)) * sqrt(-sqrt(a + S(4)) + S(1)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(4), x, ), x, a ** S(4) * x ** S(3) / S(3) + S(8) * a ** S(3) * x ** S(4) + a ** S(2) * x ** S(5) * (-S(32) * a / S(5) + S(384) / 5) + S(8) * a * x ** S(6) * (a ** S(2) - S(48) * a + S(128)) / S(3) + x ** S(19) / S(19) - S(8) * x ** S(18) / S(9) + S(128) * x ** S(17) / S(17) - S(42) * x ** S(16) + x ** S(15) * (-S(4) * a / S(15) + S(512) / 3) - x ** S(14) * (-S(24) * a / S(7) + S(3712) / 7) + x ** S(13) * (-S(288) * a / S(13) + S(16768) / 13) - x ** S(12) * (-S(280) * a / S(3) + S(7424) / 3) + x ** S(11) * (S(6) * a ** S(2) / S(11) - S(3072) * a / S(11) + S(40960) / 11) - x ** S(10) * (S(24) * a ** S(2) / S(5) - S(3072) * a / S(5) + S(21504) / 5) + x ** S(9) * (-S(64) * a / S(3) + S(8192) / 9) * (-a + S(4)) - x ** S(8) * (S(60) * a ** S(2) - S(1152) * a + S(2048)) + x ** S(7) * ( -S(4) * a ** S(3) / S(7) + S(768) * a ** S(2) / S(7) - S(6144) * a / S(7) + S(4096) / 7 ), expand=True, _diff=True, _numerical=True, ) # long time in rubi_int assert rubi_test(rubi_integrate(x**S(2)*(a - x**S(4) + S(4)*x**S(3) - S(8)*x**S(2) + S(8)*x)**S(3), x), x, a**S(3)*x**S(3)/S(3) + S(6)*a**S(2)*x**S(4) + a*x**S(5)*(-S(24)*a/S(5) + S(192)/5) - x**S(15)/S(15) + S(6)*x**S(14)/S(7) - S(72)*x**S(13)/S(13) + S(70)*x**S(12)/S(3) - x**S(11)*(-S(3)*a/S(11) + S(768)/11) + x**S(10)*(-S(12)*a/S(5) + S(768)/5) - x**S(9)*(-S(32)*a/S(3) + S(2240)/9) + x**S(8)*(-S(30)*a + S(288)) - x**S(7)*(S(3)*a**S(2)/S(7) - S(384)*a/S(7) + S(1536)/7) + x**S(6)*(S(2)*a**S(2) - S(64)*a + S(256)/3), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate( x ** S(2) * (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(2), x, ), x, a ** S(2) * x ** S(3) / S(3) + S(4) * a * x ** S(4) + x ** S(11) / S(11) - S(4) * x ** S(10) / S(5) + S(32) * x ** S(9) / S(9) - S(10) * x ** S(8) + x ** S(7) * (-S(2) * a / S(7) + S(128) / 7) - x ** S(6) * (-S(4) * a / S(3) + S(64) / 3) + x ** S(5) * (-S(16) * a / S(5) + S(64) / 5), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x, ), x, a * x ** S(3) / S(3) - x ** S(7) / S(7) + S(2) * x ** S(6) / S(3) - S(8) * x ** S(5) / S(5) + S(2) * x ** S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x, ), x, -atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))) / (S(2) * sqrt(sqrt(a + S(4)) + S(1))) - atan((x + S(-1)) / sqrt(-sqrt(a + S(4)) + S(1))) / (S(2) * sqrt(-sqrt(a + S(4)) + S(1))) + atanh(((x + S(-1)) ** S(2) + S(1)) / sqrt(a + S(4))) / sqrt(a + S(4)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** S(2), x, ), x, (x + S(-1)) * ( S(2) * a + (a + S(4)) * (x + S(-1)) ** S(2) + (S(2) * a + S(10)) * (x + S(-1)) + S(2) * (x + S(-1)) ** S(3) + S(8) ) / ( (S(4) * a ** S(2) + S(28) * a + S(48)) * (a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + (-sqrt(a + S(4)) + S(1)) * atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))) / (sqrt(a + S(4)) * (S(8) * a + S(24)) * sqrt(sqrt(a + S(4)) + S(1))) - (sqrt(a + S(4)) + S(1)) * atan((x + S(-1)) / sqrt(-sqrt(a + S(4)) + S(1))) / (sqrt(a + S(4)) * (S(8) * a + S(24)) * sqrt(-sqrt(a + S(4)) + S(1))) + atanh(((x + S(-1)) ** S(2) + S(1)) / sqrt(a + S(4))) / (S(2) * (a + S(4)) ** (S(3) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** (S(3) / 2), x, ), x, -(S(32) * a + S(112)) * (x + S(-1)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) / (S(35) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3))) + (x + S(-1)) * (S(2) * a / S(7) - S(6) * (x + S(-1)) ** S(2) / S(35) + S(26) / 35) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) + (x + S(-1)) * (a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) / S(7) + (S(4) * a + S(12)) * (S(5) * a + S(16)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(35) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + (S(32) * a + S(112)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_e( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(35) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x ), x, -(x + S(-1)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-S(2) * sqrt(a + S(4)) + S(2)) / (S(3) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3))) + (x + S(-1)) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) / S(3) + (S(2) * a + S(6)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(3) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-S(2) * sqrt(a + S(4)) + S(2)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_e( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(3) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / sqrt(a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x, ), x, ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** (S(3) / 2), x, ), x, (S(3) * a / S(16) + S(3) / 4) * ((x + S(-1)) ** S(2) + S(1)) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) + S(3) * (a + S(4)) ** S(2) * atan( ((x + S(-1)) ** S(2) + S(1)) / sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) / S(16) - (S(32) * a + S(112)) * (x + S(-1)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) / (S(35) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3))) + (x + S(-1)) * (S(2) * a / S(7) - S(6) * (x + S(-1)) ** S(2) / S(35) + S(26) / 35) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) + (x + S(-1)) * (a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) / S(7) + ((x + S(-1)) ** S(2) / S(8) + S(1) / 8) * (a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) + (S(4) * a + S(12)) * (S(5) * a + S(16)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(35) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + (S(32) * a + S(112)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_e( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(35) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x * sqrt(a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x ), x, (a / S(4) + S(1)) * atan( ((x + S(-1)) ** S(2) + S(1)) / sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) - (x + S(-1)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-S(2) * sqrt(a + S(4)) + S(2)) / (S(3) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3))) + (x + S(-1)) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) / S(3) + ((x + S(-1)) ** S(2) / S(4) + S(1) / 4) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) + (S(2) * a + S(6)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(3) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-S(2) * sqrt(a + S(4)) + S(2)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_e( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(3) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x / sqrt(a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x ), x, atan( ((x + S(-1)) ** S(2) + S(1)) / sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) / S(2) + ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** (S(3) / 2), x, ), x, (S(3) * a / S(8) + S(3) / 2) * ((x + S(-1)) ** S(2) + S(1)) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) + S(3) * (a + S(4)) ** S(2) * atan( ((x + S(-1)) ** S(2) + S(1)) / sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) / S(8) + (x + S(-1)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) * (S(84) * a ** S(2) + S(444) * a + S(560)) / (S(315) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3))) + (x + S(-1)) * ((x + S(-1)) ** S(2) / S(9) + S(5) / 21) * (a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) + (x + S(-1)) * ( S(12) * a / S(35) + S(2) * (S(21) * a + S(60)) * (x + S(-1)) ** S(2) / S(315) + S(64) / 63 ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) + ((x + S(-1)) ** S(2) / S(4) + S(1) / 4) * (a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ** (S(3) / 2) + (S(4) * a + S(12)) * (S(33) * a + S(100)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(315) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) - ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * (S(84) * a ** S(2) + S(444) * a + S(560)) * elliptic_e( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(315) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * sqrt(a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x, ), x, (a / S(2) + S(2)) * atan( ((x + S(-1)) ** S(2) + S(1)) / sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + (S(6) * a + S(16)) * (x + S(-1)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) / (S(15) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3))) + (x + S(-1)) * ((x + S(-1)) ** S(2) / S(5) + S(7) / 15) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) + ((x + S(-1)) ** S(2) / S(2) + S(1) / 2) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) - (S(6) * a + S(16)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_e( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(15) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + (S(8) * a + S(24)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( S(15) * sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / sqrt(a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x), x, ), x, (x + S(-1)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) / sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) + atan( ((x + S(-1)) ** S(2) + S(1)) / sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) - ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_e( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_f( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) / (a - x ** S(4) + S(4) * x ** S(3) - S(8) * x ** S(2) + S(8) * x) ** (S(3) / 2), x, ), x, (x + S(-1)) * ( S(2) * a + (a + S(4)) * (x + S(-1)) ** S(2) + (S(2) * a + S(10)) * (x + S(-1)) + S(2) * (x + S(-1)) ** S(3) + S(8) ) / ( (S(2) * a ** S(2) + S(14) * a + S(24)) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) / (a ** S(2) + S(7) * a + S(12)) - (x + S(-1)) * ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) / ( (S(2) * a + S(6)) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ) + ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) * (-sqrt(a + S(4)) + S(1)) * sqrt(sqrt(a + S(4)) + S(1)) * elliptic_e( atan((x + S(-1)) / sqrt(sqrt(a + S(4)) + S(1))), -S(2) * sqrt(a + S(4)) / (-sqrt(a + S(4)) + S(1)), ) / ( sqrt( ((x + S(-1)) ** S(2) / (-sqrt(a + S(4)) + S(1)) + S(1)) / ((x + S(-1)) ** S(2) / (sqrt(a + S(4)) + S(1)) + S(1)) ) * (S(2) * a + S(6)) * sqrt(a - (x + S(-1)) ** S(4) - S(2) * (x + S(-1)) ** S(2) + S(3)) ), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(8) * x ** S(4) - x ** S(3) + S(8) * x + S(8)) ** S(4), x), x, S(4096) * x ** S(17) / S(17) - S(128) * x ** S(16) + S(128) * x ** S(15) / S(5) + S(1168) * x ** S(14) + S(10241) * x ** S(13) / S(13) - S(448) * x ** S(12) + S(25312) * x ** S(11) / S(11) + S(21488) * x ** S(10) / S(5) + S(1408) * x ** S(9) + S(1376) * x ** S(8) + S(6784) * x ** S(7) + S(7168) * x ** S(6) + S(14336) * x ** S(5) / S(5) + S(3584) * x ** S(4) + S(8192) * x ** S(3) + S(8192) * x ** S(2) + S(4096) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(8) * x ** S(4) - x ** S(3) + S(8) * x + S(8)) ** S(3), x), x, S(512) * x ** S(13) / S(13) - S(16) * x ** S(12) + S(24) * x ** S(11) / S(11) + S(307) * x ** S(10) / S(2) + S(128) * x ** S(9) - S(45) * x ** S(8) + S(1560) * x ** S(7) / S(7) + S(480) * x ** S(6) + S(1152) * x ** S(5) / S(5) + S(80) * x ** S(4) + S(512) * x ** S(3) + S(768) * x ** S(2) + S(512) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(8) * x ** S(4) - x ** S(3) + S(8) * x + S(8)) ** S(2), x), x, S(64) * x ** S(9) / S(9) - S(2) * x ** S(8) + x ** S(7) / S(7) + S(64) * x ** S(6) / S(3) + S(112) * x ** S(5) / S(5) - S(4) * x ** S(4) + S(64) * x ** S(3) / S(3) + S(64) * x ** S(2) + S(64) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(8) * x ** S(4) - x ** S(3) + S(8) * x + S(8), x), x, S(8) * x ** S(5) / S(5) - x ** S(4) / S(4) + S(4) * x ** S(2) + S(8) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (S(8) * x ** S(4) - x ** S(3) + S(8) * x + S(8)), x), x, -sqrt(S(-109) / 1218 + S(67) * sqrt(S(29)) / S(1218)) * log( (S(1) + S(4) / x) ** S(2) - (S(1) + S(4) / x) * sqrt(S(6) + S(6) * sqrt(S(29))) + S(3) * sqrt(S(29)) ) / S(24) + sqrt(S(-109) / 1218 + S(67) * sqrt(S(29)) / S(1218)) * log( (S(1) + S(4) / x) ** S(2) + (S(1) + S(4) / x) * sqrt(S(6) + S(6) * sqrt(S(29))) + S(3) * sqrt(S(29)) ) / S(24) - sqrt(S(7)) * atan(sqrt(S(7)) * (-((S(1) + S(4) / x) ** S(2)) + S(3)) / S(42)) / S(84) + sqrt(S(109) / 1218 + S(67) * sqrt(S(29)) / S(1218)) * atan( (S(-2) + sqrt(S(6) + S(6) * sqrt(S(29))) - S(8) / x) / sqrt(S(-6) + S(6) * sqrt(S(29))) ) / S(12) - sqrt(S(109) / 1218 + S(67) * sqrt(S(29)) / S(1218)) * atan( (S(2) + sqrt(S(6) + S(6) * sqrt(S(29))) + S(8) / x) / sqrt(S(-6) + S(6) * sqrt(S(29))) ) / S(12), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(8) * x ** S(4) - x ** S(3) + S(8) * x + S(8)) ** (S(-2)), x), x, (S(1) + S(4) / x) * ( S(207) * (S(1) + S(4) / x) ** S(3) + S(995) * (S(1) + S(4) / x) ** S(2) + S(16974) - S(35244) / x ) / ( S(87696) * (S(1) + S(4) / x) ** S(4) - S(526176) * (S(1) + S(4) / x) ** S(2) + S(22888656) ) - sqrt(S(-180983329) / 1218 + S(1583563) * sqrt(S(29)) / S(42)) * log( (S(1) + S(4) / x) ** S(2) - (S(1) + S(4) / x) * sqrt(S(6) + S(6) * sqrt(S(29))) + S(3) * sqrt(S(29)) ) / S(175392) + sqrt(S(-180983329) / 1218 + S(1583563) * sqrt(S(29)) / S(42)) * log( (S(1) + S(4) / x) ** S(2) + (S(1) + S(4) / x) * sqrt(S(6) + S(6) * sqrt(S(29))) + S(3) * sqrt(S(29)) ) / S(175392) - S(17) * sqrt(S(7)) * atan(sqrt(S(7)) * (-((S(1) + S(4) / x) ** S(2)) + S(3)) / S(42)) / S(7056) + sqrt(S(180983329) / 1218 + S(1583563) * sqrt(S(29)) / S(42)) * atan( (S(-2) + sqrt(S(6) + S(6) * sqrt(S(29))) - S(8) / x) / sqrt(S(-6) + S(6) * sqrt(S(29))) ) / S(87696) - sqrt(S(180983329) / 1218 + S(1583563) * sqrt(S(29)) / S(42)) * atan( (S(2) + sqrt(S(6) + S(6) * sqrt(S(29))) + S(8) / x) / sqrt(S(-6) + S(6) * sqrt(S(29))) ) / S(87696), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x ** S(4) + S(4) * x ** S(2) + S(4) * x + S(1)) ** S(4), x ), x, S(256) * x ** S(17) / S(17) + S(1024) * x ** S(15) / S(15) + S(512) * x ** S(14) / S(7) + S(1792) * x ** S(13) / S(13) + S(256) * x ** S(12) + S(3328) * x ** S(11) / S(11) + S(384) * x ** S(10) + S(4192) * x ** S(9) / S(9) + S(448) * x ** S(8) + S(2752) * x ** S(7) / S(7) + S(992) * x ** S(6) / S(3) + S(1136) * x ** S(5) / S(5) + S(112) * x ** S(4) + S(112) * x ** S(3) / S(3) + S(8) * x ** S(2) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x ** S(4) + S(4) * x ** S(2) + S(4) * x + S(1)) ** S(3), x ), x, S(64) * x ** S(13) / S(13) + S(192) * x ** S(11) / S(11) + S(96) * x ** S(10) / S(5) + S(80) * x ** S(9) / S(3) + S(48) * x ** S(8) + S(352) * x ** S(7) / S(7) + S(48) * x ** S(6) + S(252) * x ** S(5) / S(5) + S(40) * x ** S(4) + S(20) * x ** S(3) + S(6) * x ** S(2) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x ** S(4) + S(4) * x ** S(2) + S(4) * x + S(1)) ** S(2), x ), x, S(16) * x ** S(9) / S(9) + S(32) * x ** S(7) / S(7) + S(16) * x ** S(6) / S(3) + S(24) * x ** S(5) / S(5) + S(8) * x ** S(4) + S(8) * x ** S(3) + S(4) * x ** S(2) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(4) * x ** S(4) + S(4) * x ** S(2) + S(4) * x + S(1), x), x, S(4) * x ** S(5) / S(5) + S(4) * x ** S(3) / S(3) + S(2) * x ** S(2) + x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (S(4) * x ** S(4) + S(4) * x ** S(2) + S(4) * x + S(1)), x ), x, -sqrt(S(-2) / 5 + sqrt(S(5)) / S(5)) * log( (S(1) + S(1) / x) ** S(2) - (S(1) + S(1) / x) * sqrt(S(2) + S(2) * sqrt(S(5))) + sqrt(S(5)) ) / S(4) + sqrt(S(-2) / 5 + sqrt(S(5)) / S(5)) * log( (S(1) + S(1) / x) ** S(2) + (S(1) + S(1) / x) * sqrt(S(2) + S(2) * sqrt(S(5))) + sqrt(S(5)) ) / S(4) + sqrt(S(2) / 5 + sqrt(S(5)) / S(5)) * atan( (S(-2) + sqrt(S(2) + S(2) * sqrt(S(5))) - S(2) / x) / sqrt(S(-2) + S(2) * sqrt(S(5))) ) / S(2) - sqrt(S(2) / 5 + sqrt(S(5)) / S(5)) * atan( (S(2) + sqrt(S(2) + S(2) * sqrt(S(5))) + S(2) / x) / sqrt(S(-2) + S(2) * sqrt(S(5))) ) / S(2) + atan((S(1) + S(1) / x) ** S(2) / S(2) + S(-1) / 2) / S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(4) * x ** S(4) + S(4) * x ** S(2) + S(4) * x + S(1)) ** (S(-2)), x ), x, (S(1) + S(1) / x) * ( S(17) * (S(1) + S(1) / x) ** S(3) - S(17) * (S(1) + S(1) / x) ** S(2) + S(30) - S(29) / x ) / ( S(10) * (S(1) + S(1) / x) ** S(4) - S(20) * (S(1) + S(1) / x) ** S(2) + S(50) ) + sqrt(S(-5959) / 10 + S(533) * sqrt(S(5)) / S(2)) * log( (S(1) + S(1) / x) ** S(2) - (S(1) + S(1) / x) * sqrt(S(2) + S(2) * sqrt(S(5))) + sqrt(S(5)) ) / S(40) - sqrt(S(-5959) / 10 + S(533) * sqrt(S(5)) / S(2)) * log( (S(1) + S(1) / x) ** S(2) + (S(1) + S(1) / x) * sqrt(S(2) + S(2) * sqrt(S(5))) + sqrt(S(5)) ) / S(40) + sqrt(S(5959) / 10 + S(533) * sqrt(S(5)) / S(2)) * atan( (S(-2) + sqrt(S(2) + S(2) * sqrt(S(5))) - S(2) / x) / sqrt(S(-2) + S(2) * sqrt(S(5))) ) / S(20) - sqrt(S(5959) / 10 + S(533) * sqrt(S(5)) / S(2)) * atan( (S(2) + sqrt(S(2) + S(2) * sqrt(S(5))) + S(2) / x) / sqrt(S(-2) + S(2) * sqrt(S(5))) ) / S(20) + S(7) * atan((S(1) + S(1) / x) ** S(2) / S(2) + S(-1) / 2) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(8) * x ** S(4) - S(15) * x ** S(3) + S(8) * x ** S(2) + S(24) * x + S(8)) ** S(4), x, ), x, S(4096) * x ** S(17) / S(17) - S(1920) * x ** S(16) + S(102784) * x ** S(15) / S(15) - S(75504) * x ** S(14) / S(7) - S(12095) * x ** S(13) / S(13) + S(31128) * x ** S(12) - S(331040) * x ** S(11) / S(11) - S(169584) * x ** S(10) / S(5) + S(641152) * x ** S(9) / S(9) + S(36384) * x ** S(8) - S(566912) * x ** S(7) / S(7) - S(30720) * x ** S(6) + S(538624) * x ** S(5) / S(5) + S(139776) * x ** S(4) + S(237568) * x ** S(3) / S(3) + S(24576) * x ** S(2) + S(4096) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(8) * x ** S(4) - S(15) * x ** S(3) + S(8) * x ** S(2) + S(24) * x + S(8)) ** S(3), x, ), x, S(512) * x ** S(13) / S(13) - S(240) * x ** S(12) + S(6936) * x ** S(11) / S(11) - S(4527) * x ** S(10) / S(10) - S(2936) * x ** S(9) / S(3) + S(2097) * x ** S(8) + S(5528) * x ** S(7) / S(7) - S(2976) * x ** S(6) - S(384) * x ** S(5) / S(5) + S(5040) * x ** S(4) + S(5120) * x ** S(3) + S(2304) * x ** S(2) + S(512) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(8) * x ** S(4) - S(15) * x ** S(3) + S(8) * x ** S(2) + S(24) * x + S(8)) ** S(2), x, ), x, S(64) * x ** S(9) / S(9) - S(30) * x ** S(8) + S(353) * x ** S(7) / S(7) + S(24) * x ** S(6) - S(528) * x ** S(5) / S(5) + S(36) * x ** S(4) + S(704) * x ** S(3) / S(3) + S(192) * x ** S(2) + S(64) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(8) * x ** S(4) - S(15) * x ** S(3) + S(8) * x ** S(2) + S(24) * x + S(8), x, ), x, S(8) * x ** S(5) / S(5) - S(15) * x ** S(4) / S(4) + S(8) * x ** S(3) / S(3) + S(12) * x ** S(2) + S(8) * x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( S(8) * x ** S(4) - S(15) * x ** S(3) + S(8) * x ** S(2) + S(24) * x + S(8) ), x, ), x, -sqrt(S(-5167) / 40326 + S(5) * sqrt(S(517)) / S(858)) * log( (S(3) + S(4) / x) ** S(2) - (S(3) + S(4) / x) * sqrt(S(38) + S(2) * sqrt(S(517))) + sqrt(S(517)) ) / S(8) + sqrt(S(-5167) / 40326 + S(5) * sqrt(S(517)) / S(858)) * log( (S(3) + S(4) / x) ** S(2) + (S(3) + S(4) / x) * sqrt(S(38) + S(2) * sqrt(S(517))) + sqrt(S(517)) ) / S(8) - sqrt(S(39)) * atan(sqrt(S(39)) * (-((S(3) + S(4) / x) ** S(2)) + S(19)) / S(78)) / S(52) + sqrt(S(5167) / 40326 + S(5) * sqrt(S(517)) / S(858)) * atan( (S(-6) + sqrt(S(38) + S(2) * sqrt(S(517))) - S(8) / x) / sqrt(S(-38) + S(2) * sqrt(S(517))) ) / S(4) - sqrt(S(5167) / 40326 + S(5) * sqrt(S(517)) / S(858)) * atan( (S(6) + sqrt(S(38) + S(2) * sqrt(S(517))) + S(8) / x) / sqrt(S(-38) + S(2) * sqrt(S(517))) ) / S(4), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (S(8) * x ** S(4) - S(15) * x ** S(3) + S(8) * x ** S(2) + S(24) * x + S(8)) ** (S(-2)), x, ), x, (S(3) + S(4) / x) * ( S(30231) * (S(3) + S(4) / x) ** S(3) - S(129631) * (S(3) + S(4) / x) ** S(2) + S(1375210) - S(2603628) / x ) / ( S(322608) * (S(3) + S(4) / x) ** S(4) - S(12259104) * (S(3) + S(4) / x) ** S(2) + S(166788336) ) - sqrt(S(-59644114671451) / 40326 + S(5073830635) * sqrt(S(517)) / S(78)) * log( (S(3) + S(4) / x) ** S(2) - (S(3) + S(4) / x) * sqrt(S(38) + S(2) * sqrt(S(517))) + sqrt(S(517)) ) / S(645216) + sqrt(S(-59644114671451) / 40326 + S(5073830635) * sqrt(S(517)) / S(78)) * log( (S(3) + S(4) / x) ** S(2) + (S(3) + S(4) / x) * sqrt(S(38) + S(2) * sqrt(S(517))) + sqrt(S(517)) ) / S(645216) - S(73) * sqrt(S(39)) * atan(sqrt(S(39)) * (-((S(3) + S(4) / x) ** S(2)) + S(19)) / S(78)) / S(2704) + sqrt(S(19) / 40326 + sqrt(S(517)) / S(40326)) * (S(1678181) + S(74897) * sqrt(S(517))) * atan( (S(-6) + sqrt(S(38) + S(2) * sqrt(S(517))) - S(8) / x) / sqrt(S(-38) + S(2) * sqrt(S(517))) ) / S(645216) - sqrt(S(19) / 40326 + sqrt(S(517)) / S(40326)) * (S(1678181) + S(74897) * sqrt(S(517))) * atan( (S(6) + sqrt(S(38) + S(2) * sqrt(S(517))) + S(8) / x) / sqrt(S(-38) + S(2) * sqrt(S(517))) ) / S(645216), expand=True, _diff=True, _numerical=True, ) """Takes a long time in rubi test, final results contain subs with Integral assert rubi_test(rubi_integrate(S(1)/sqrt(S(8)*x**S(4) - x**S(3) + S(8)*x + S(8)), x), x, -S(29)**(S(3)/4)*sqrt(S(6))*x**S(2)*sqrt(((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261))/(sqrt(S(29))*(S(1) + S(4)/x)**S(2) + S(87))**S(2))*(sqrt(S(29))*(S(1) + S(4)/x)**S(2) + S(87))*elliptic_f(S(2)*atan(S(29)**(S(3)/4)*sqrt(S(3))*(S(1) + S(4)/x)/S(87)), sqrt(S(29))/S(58) + S(1)/2)/(S(174)*sqrt(x**S(4)*((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261)))), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate((S(8)*x**S(4) - x**S(3) + S(8)*x + S(8))**(S(-3)/2), x), x, S(29)**(S(1)/4)*sqrt(S(6))*x**S(2)*sqrt(((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261))/(sqrt(S(29))*(S(1) + S(4)/x)**S(2) + S(87))**S(2))*(-S(5)*sqrt(S(29)) + S(14))*(sqrt(S(29))*(S(1) + S(4)/x)**S(2) + S(87))*elliptic_f(S(2)*atan(S(29)**(S(3)/4)*sqrt(S(3))*(S(1) + S(4)/x)/S(87)), sqrt(S(29))/S(58) + S(1)/2)/(S(12528)*sqrt(x**S(4)*((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261)))) - S(29)**(S(1)/4)*sqrt(S(6))*x**S(2)*sqrt(((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261))/(sqrt(S(29))*(S(1) + S(4)/x)**S(2) + S(87))**S(2))*(S(7)*sqrt(S(29))*(S(1) + S(4)/x)**S(2) + S(609))*elliptic_e(S(2)*atan(S(29)**(S(3)/4)*sqrt(S(3))*(S(1) + S(4)/x)/S(87)), sqrt(S(29))/S(58) + S(1)/2)/(S(3132)*sqrt(x**S(4)*((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261)))) + sqrt(S(2))*x**S(2)*(S(1) + S(4)/x)*(S(22)*(S(1) + S(4)/x)**S(3) - S(49)*(S(1) + S(4)/x)**S(2) + S(1467) - S(180)/x)/(S(21924)*sqrt(x**S(4)*((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261)))) + sqrt(S(58))*x**S(2)*(S(1) + S(4)/x)*(S(7)*(S(1) + S(4)/x)**S(4) - S(42)*(S(1) + S(4)/x)**S(2) + S(1827))/(S(3132)*sqrt(x**S(4)*((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261)))*(sqrt(S(29))*(S(1) + S(4)/x)**S(2) + S(87))) - sqrt(S(2))*x**S(2)*(S(11)*(S(1) + S(4)/x)**S(4) - S(66)*(S(1) + S(4)/x)**S(2) + S(2871))/(S(10962)*sqrt(x**S(4)*((S(1) + S(4)/x)**S(4) - S(6)*(S(1) + S(4)/x)**S(2) + S(261)))), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate(S(1)/sqrt(S(4)*x**S(4) + S(4)*x**S(2) + S(4)*x + S(1)), x), x, -S(5)**(S(3)/4)*x**S(2)*sqrt(((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5))/((S(1) + S(1)/x)**S(2) + sqrt(S(5)))**S(2))*((S(1) + S(1)/x)**S(2) + sqrt(S(5)))*elliptic_f(S(2)*atan(S(5)**(S(3)/4)*(S(1) + S(1)/x)/S(5)), sqrt(S(5))/S(10) + S(1)/2)/(S(10)*sqrt(x**S(4)*((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5)))), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate((S(4)*x**S(4) + S(4)*x**S(2) + S(4)*x + S(1))**(S(-3)/2), x), x, S(5)**(S(1)/4)*x**S(2)*sqrt(((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5))/((S(1) + S(1)/x)**S(2) + sqrt(S(5)))**S(2))*(-S(3)*sqrt(S(5)) + S(9))*((S(1) + S(1)/x)**S(2) + sqrt(S(5)))*elliptic_f(S(2)*atan(S(5)**(S(3)/4)*(S(1) + S(1)/x)/S(5)), sqrt(S(5))/S(10) + S(1)/2)/(S(20)*sqrt(x**S(4)*((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5)))) - S(5)**(S(1)/4)*x**S(2)*sqrt(((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5))/((S(1) + S(1)/x)**S(2) + sqrt(S(5)))**S(2))*(S(9)*(S(1) + S(1)/x)**S(2) + S(9)*sqrt(S(5)))*elliptic_e(S(2)*atan(S(5)**(S(3)/4)*(S(1) + S(1)/x)/S(5)), sqrt(S(5))/S(10) + S(1)/2)/(S(10)*sqrt(x**S(4)*((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5)))) + x**S(2)*(S(1) + S(1)/x)*(S(6)*(S(1) + S(1)/x)**S(3) - S(9)*(S(1) + S(1)/x)**S(2) + S(11) - S(2)/x)/(S(10)*sqrt(x**S(4)*((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5)))) + x**S(2)*(S(1) + S(1)/x)*(S(9)*(S(1) + S(1)/x)**S(4) - S(18)*(S(1) + S(1)/x)**S(2) + S(45))/(sqrt(x**S(4)*((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5)))*(S(10)*(S(1) + S(1)/x)**S(2) + S(10)*sqrt(S(5)))) - x**S(2)*(S(3)*(S(1) + S(1)/x)**S(4) - S(6)*(S(1) + S(1)/x)**S(2) + S(15))/(S(5)*sqrt(x**S(4)*((S(1) + S(1)/x)**S(4) - S(2)*(S(1) + S(1)/x)**S(2) + S(5)))), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate(S(1)/sqrt(S(8)*x**S(4) - S(15)*x**S(3) + S(8)*x**S(2) + S(24)*x + S(8)), x), x, -sqrt(S(2))*S(517)**(S(3)/4)*x**S(2)*sqrt(((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517))/((S(3) + S(4)/x)**S(2) + sqrt(S(517)))**S(2))*((S(3) + S(4)/x)**S(2) + sqrt(S(517)))*elliptic_f(S(2)*atan(S(517)**(S(3)/4)*(S(3) + S(4)/x)/S(517)), S(19)*sqrt(S(517))/S(1034) + S(1)/2)/(S(1034)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate((S(8)*x**S(4) - S(15)*x**S(3) + S(8)*x**S(2) + S(24)*x + S(8))**(S(-3)/2), x), x, sqrt(S(2))*S(517)**(S(1)/4)*x**S(2)*sqrt(((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517))/((S(3) + S(4)/x)**S(2) + sqrt(S(517)))**S(2))*(-S(203)*sqrt(S(517)) + S(4910))*((S(3) + S(4)/x)**S(2) + sqrt(S(517)))*elliptic_f(S(2)*atan(S(517)**(S(3)/4)*(S(3) + S(4)/x)/S(517)), S(19)*sqrt(S(517))/S(1034) + S(1)/2)/(S(322608)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))) - sqrt(S(2))*S(517)**(S(1)/4)*x**S(2)*sqrt(((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517))/((S(3) + S(4)/x)**S(2) + sqrt(S(517)))**S(2))*(S(2455)*(S(3) + S(4)/x)**S(2) + S(2455)*sqrt(S(517)))*elliptic_e(S(2)*atan(S(517)**(S(3)/4)*(S(3) + S(4)/x)/S(517)), S(19)*sqrt(S(517))/S(1034) + S(1)/2)/(S(80652)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))) + sqrt(S(2))*x**S(2)*(S(3) + S(4)/x)*(S(516)*(S(3) + S(4)/x)**S(3) - S(2455)*(S(3) + S(4)/x)**S(2) + S(24643) - S(35004)/x)/(S(80652)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))) + sqrt(S(2))*x**S(2)*(S(3) + S(4)/x)*(S(2455)*(S(3) + S(4)/x)**S(4) - S(93290)*(S(3) + S(4)/x)**S(2) + S(1269235))/(S(80652)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))*((S(3) + S(4)/x)**S(2) + sqrt(S(517)))) - S(43)*sqrt(S(2))*x**S(2)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517))/(S(6721)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate((S(8)*x**S(4) - S(15)*x**S(3) + S(8)*x**S(2) + S(24)*x + S(8))**(S(-5)/2), x), x, sqrt(S(2))*S(517)**(S(1)/4)*x**S(2)*sqrt(((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517))/((S(3) + S(4)/x)**S(2) + sqrt(S(517)))**S(2))*(-S(175318963)*sqrt(S(517)) + S(4346103976))*((S(3) + S(4)/x)**S(2) + sqrt(S(517)))*elliptic_f(S(2)*atan(S(517)**(S(3)/4)*(S(3) + S(4)/x)/S(517)), S(19)*sqrt(S(517))/S(1034) + S(1)/2)/(S(156113882496)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))) - sqrt(S(2))*S(517)**(S(1)/4)*x**S(2)*sqrt(((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517))/((S(3) + S(4)/x)**S(2) + sqrt(S(517)))**S(2))*(S(543262997)*(S(3) + S(4)/x)**S(2) + S(543262997)*sqrt(S(517)))*elliptic_e(S(2)*atan(S(517)**(S(3)/4)*(S(3) + S(4)/x)/S(517)), S(19)*sqrt(S(517))/S(1034) + S(1)/2)/(S(9757117656)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))) + sqrt(S(2))*x**S(2)*(S(3) + S(4)/x)*(S(223148517)*(S(3) + S(4)/x)**S(3) - S(1086525994)*(S(3) + S(4)/x)**S(2) + S(8668521901) - S(13685866440)/x)/(S(19514235312)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))) + sqrt(S(2))*x**S(2)*(S(3) + S(4)/x)*(S(193467)*(S(3) + S(4)/x)**S(3) - S(718994)*(S(3) + S(4)/x)**S(2) + S(8297705) - S(20727588)/x)/(S(241956)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517))) + sqrt(S(2))*x**S(2)*(S(3) + S(4)/x)*(S(543262997)*(S(3) + S(4)/x)**S(4) - S(20643993886)*(S(3) + S(4)/x)**S(2) + S(280866969449))/(S(9757117656)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))*((S(3) + S(4)/x)**S(2) + sqrt(S(517)))) - sqrt(S(2))*x**S(2)*(S(74382839)*(S(3) + S(4)/x)**S(4) - S(2826547882)*(S(3) + S(4)/x)**S(2) + S(38455927763))/(S(6504745104)*sqrt(x**S(4)*((S(3) + S(4)/x)**S(4) - S(38)*(S(3) + S(4)/x)**S(2) + S(517)))), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate(S(1)/sqrt(S(3)*x**S(4) + S(15)*x**S(3) - S(44)*x**S(2) - S(6)*x + S(9)), x), x, S(613)**(S(3)/4)*x**S(2)*sqrt(((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613))/((S(-1) + S(6)/x)**S(2) + sqrt(S(613)))**S(2))*((S(-1) + S(6)/x)**S(2) + sqrt(S(613)))*elliptic_f(S(2)*atan(S(613)**(S(3)/4)*(S(1) - S(6)/x)/S(613)), S(1)/2 + S(91)*sqrt(S(613))/S(1226))/(S(613)*sqrt(x**S(4)*((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613)))), expand=True, _diff=True, _numerical=True) assert rubi_test(rubi_integrate((S(3)*x**S(4) + S(15)*x**S(3) - S(44)*x**S(2) - S(6)*x + S(9))**(S(-3)/2), x), x, S(613)**(S(1)/4)*x**S(2)*sqrt(((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613))/((S(-1) + S(6)/x)**S(2) + sqrt(S(613)))**S(2))*(-S(145)*sqrt(S(613)) + S(7444))*((S(-1) + S(6)/x)**S(2) + sqrt(S(613)))*elliptic_f(S(2)*atan(S(613)**(S(3)/4)*(S(1) - S(6)/x)/S(613)), S(1)/2 + S(91)*sqrt(S(613))/S(1226))/(S(10576089)*sqrt(x**S(4)*((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613)))) - S(613)**(S(1)/4)*x**S(2)*sqrt(((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613))/((S(-1) + S(6)/x)**S(2) + sqrt(S(613)))**S(2))*(S(14888)*(S(-1) + S(6)/x)**S(2) + S(14888)*sqrt(S(613)))*elliptic_e(S(2)*atan(S(613)**(S(3)/4)*(S(1) - S(6)/x)/S(613)), S(1)/2 + S(91)*sqrt(S(613))/S(1226))/(S(10576089)*sqrt(x**S(4)*((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613)))) + x**S(2)*(S(1) - S(6)/x)*(S(704)*(S(1) - S(6)/x)**S(3) - S(14888)*(S(1) - S(6)/x)**S(2) + S(109872) + S(430392)/x)/(S(10576089)*sqrt(x**S(4)*((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613)))) + x**S(2)*(S(1) - S(6)/x)*(S(14888)*(S(-1) + S(6)/x)**S(4) - S(2709616)*(S(1) - S(6)/x)**S(2) + S(9126344))/(sqrt(x**S(4)*((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613)))*(S(10576089)*(S(-1) + S(6)/x)**S(2) + S(10576089)*sqrt(S(613)))) - x**S(2)*(S(704)*(S(-1) + S(6)/x)**S(4) - S(128128)*(S(1) - S(6)/x)**S(2) + S(431552))/(S(10576089)*sqrt(x**S(4)*((S(-1) + S(6)/x)**S(4) - S(182)*(S(1) - S(6)/x)**S(2) + S(613)))), expand=True, _diff=True, _numerical=True) """ def test_5(): assert rubi_test( rubi_integrate(x ** m * sqrt(-a / x + b) / sqrt(a - b * x), x), x, S(2) * x ** (m + S(1)) * sqrt(-a / x + b) / (sqrt(a - b * x) * (S(2) * m + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * sqrt(-a / x + b) / sqrt(a - b * x), x), x, S(2) * x ** S(3) * sqrt(-a / x + b) / (S(5) * sqrt(a - b * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(-a / x + b) / sqrt(a - b * x), x), x, S(2) * x ** S(2) * sqrt(-a / x + b) / (S(3) * sqrt(a - b * x)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-a / x + b) / sqrt(a - b * x), x), x, S(2) * x * sqrt(-a / x + b) / sqrt(a - b * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-a / x + b) / (x * sqrt(a - b * x)), x), x, -S(2) * sqrt(-a / x + b) / sqrt(a - b * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-a / x + b) / (x ** S(2) * sqrt(a - b * x)), x), x, -S(2) * sqrt(-a / x + b) / (S(3) * x * sqrt(a - b * x)), expand=True, _diff=True, _numerical=True, ) # appellf1 assert rubi_test(rubi_integrate((a + b/x)**m*(c + d*x)**n, x), x, x*(S(1) + d*x/c)**(-n)*(a + b/x)**m*(c + d*x)**n*(a*x/b + S(1))**(-m)*AppellF1(-m + S(1), -m, -n, -m + S(2), -a*x/b, -d*x/c)/(-m + S(1)), expand=True, _diff=True, _numerical=True) assert rubi_test( rubi_integrate((a + b / x) ** m * (c + d * x) ** S(2), x), x, d ** S(2) * x ** S(3) * (a + b / x) ** (m + S(1)) / (S(3) * a) + d * x ** S(2) * (a + b / x) ** (m + S(1)) * (S(6) * a * c - b * d * (-m + S(2))) / (S(6) * a ** S(2)) - b * (a + b / x) ** (m + S(1)) * ( S(6) * a ** S(2) * c ** S(2) - S(6) * a * b * c * d * (-m + S(1)) + b ** S(2) * d ** S(2) * (m ** S(2) - S(3) * m + S(2)) ) * hyper((S(2), m + S(1)), (m + S(2),), S(1) + b / (a * x)) / (S(6) * a ** S(4) * (m + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b / x) ** m * (c + d * x), x), x, d * x ** S(2) * (a + b / x) ** (m + S(1)) / (S(2) * a) - b * (a + b / x) ** (m + S(1)) * (S(2) * a * c - b * d * (-m + S(1))) * hyper((S(2), m + S(1)), (m + S(2),), S(1) + b / (a * x)) / (S(2) * a ** S(3) * (m + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b / x) ** m, x), x, -b * (a + b / x) ** (m + S(1)) * hyper((S(2), m + S(1)), (m + S(2),), S(1) + b / (a * x)) / (a ** S(2) * (m + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b / x) ** m / (c + d * x), x), x, -c * (a + b / x) ** (m + S(1)) * hyper((S(1), m + S(1)), (m + S(2),), c * (a + b / x) / (a * c - b * d)) / (d * (m + S(1)) * (a * c - b * d)) + (a + b / x) ** (m + S(1)) * hyper((S(1), m + S(1)), (m + S(2),), S(1) + b / (a * x)) / (a * d * (m + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b / x) ** m / (c + d * x) ** S(2), x), x, -b * (a + b / x) ** (m + S(1)) * hyper((S(2), m + S(1)), (m + S(2),), c * (a + b / x) / (a * c - b * d)) / ((m + S(1)) * (a * c - b * d) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b / x) ** m / (c + d * x) ** S(3), x), x, -b * (a + b / x) ** (m + S(1)) * (S(2) * a * c - b * d * (m + S(1))) * hyper((S(2), m + S(1)), (m + S(2),), c * (a + b / x) / (a * c - b * d)) / (S(2) * c * (m + S(1)) * (a * c - b * d) ** S(3)) - d * (a + b / x) ** (m + S(1)) / (S(2) * c * (a * c - b * d) * (c / x + d) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((a + b / x) ** m / (c + d * x) ** S(4), x), x, -b * (a + b / x) ** (m + S(1)) * ( S(6) * a ** S(2) * c ** S(2) - S(6) * a * b * c * d * (m + S(1)) + b ** S(2) * d ** S(2) * (m ** S(2) + S(3) * m + S(2)) ) * hyper((S(2), m + S(1)), (m + S(2),), c * (a + b / x) / (a * c - b * d)) / (S(6) * c ** S(2) * (m + S(1)) * (a * c - b * d) ** S(4)) + d ** S(2) * (a + b / x) ** (m + S(1)) / (S(3) * c ** S(2) * (a * c - b * d) * (c / x + d) ** S(3)) - d * (a + b / x) ** (m + S(1)) * (S(6) * a * c - b * d * (m + S(4))) / (S(6) * c ** S(2) * (a * c - b * d) ** S(2) * (c / x + d) ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** m * sqrt(-a / x ** S(2) + b) / sqrt(a - b * x ** S(2)), x), x, x ** (m + S(1)) * sqrt(-a / x ** S(2) + b) / (m * sqrt(a - b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( x ** S(2) * sqrt(-a / x ** S(2) + b) / sqrt(a - b * x ** S(2)), x ), x, x ** S(3) * sqrt(-a / x ** S(2) + b) / (S(2) * sqrt(a - b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * sqrt(-a / x ** S(2) + b) / sqrt(a - b * x ** S(2)), x), x, x ** S(2) * sqrt(-a / x ** S(2) + b) / sqrt(a - b * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-a / x ** S(2) + b) / sqrt(a - b * x ** S(2)), x), x, x * sqrt(-a / x ** S(2) + b) * log(x) / sqrt(a - b * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(-a / x ** S(2) + b) / (x * sqrt(a - b * x ** S(2))), x), x, -sqrt(-a / x ** S(2) + b) / sqrt(a - b * x ** S(2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(-a / x ** S(2) + b) / (x ** S(2) * sqrt(a - b * x ** S(2))), x ), x, -sqrt(-a / x ** S(2) + b) / (S(2) * x * sqrt(a - b * x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c + d * x) ** (S(3) / 2) / sqrt(a + b / x ** S(2)), x), x, -2 * sqrt(b) * c * sqrt(a * (c + d * x) / (a * c - sqrt(b) * d * sqrt(-a))) * (a * c ** 2 + b * d ** 2) * sqrt(a * x ** 2 / b + 1) * EllipticF( asin(sqrt(2) * sqrt(1 - x * sqrt(-a) / sqrt(b)) / 2), -2 * sqrt(b) * d * sqrt(-a) / (a * c - sqrt(b) * d * sqrt(-a)), ) / (5 * d * x * (-a) ** (3 / 2) * sqrt(a + b / x ** 2) * sqrt(c + d * x)) + 2 * sqrt(b) * sqrt(c + d * x) * (a * c ** 2 - 3 * b * d ** 2) * sqrt(a * x ** 2 / b + 1) * EllipticE( asin(sqrt(2) * sqrt(1 - x * sqrt(-a) / sqrt(b)) / 2), -2 * sqrt(b) * d * sqrt(-a) / (a * c - sqrt(b) * d * sqrt(-a)), ) / ( 5 * d * x * (-a) ** (3 / 2) * sqrt(a * (c + d * x) / (a * c - sqrt(b) * d * sqrt(-a))) * sqrt(a + b / x ** 2) ) + 2 * c * sqrt(c + d * x) * (a * x ** 2 + b) / (5 * a * x * sqrt(a + b / x ** 2)) + 2 * (c + d * x) ** (3 / 2) * (a * x ** 2 + b) / (5 * a * x * sqrt(a + b / x ** 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) ** (S(5) / 2) / sqrt(a ** S(2) - b ** S(2) * x ** S(4)), x, ), x, S(19) * a ** S(2) * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atan(sqrt(b) * x / sqrt(a - b * x ** S(2))) / (S(8) * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))) - S(9) * a * x * (a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) / (S(8) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))) - x * (a - b * x ** S(2)) * (a + b * x ** S(2)) ** (S(3) / 2) / (S(4) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a + b * x ** S(2)) ** (S(3) / 2) / sqrt(a ** S(2) - b ** S(2) * x ** S(4)), x, ), x, S(3) * a * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atan(sqrt(b) * x / sqrt(a - b * x ** S(2))) / (S(2) * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))) - x * (a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) / (S(2) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a + b * x ** S(2)) / sqrt(a ** S(2) - b ** S(2) * x ** S(4)), x ), x, sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atan(sqrt(b) * x / sqrt(a - b * x ** S(2))) / (sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (sqrt(a + b * x ** S(2)) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), x, ), x, sqrt(S(2)) * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atan(sqrt(S(2)) * sqrt(b) * x / sqrt(a - b * x ** S(2))) / (S(2) * a * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( (a + b * x ** S(2)) ** (S(3) / 2) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ), x, ), x, x * (a - b * x ** S(2)) / ( S(4) * a ** S(2) * sqrt(a + b * x ** S(2)) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ) + S(3) * sqrt(S(2)) * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atan(sqrt(S(2)) * sqrt(b) * x / sqrt(a - b * x ** S(2))) / (S(8) * a ** S(2) * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( (a + b * x ** S(2)) ** (S(5) / 2) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ), x, ), x, x * (a - b * x ** S(2)) / ( S(8) * a ** S(2) * (a + b * x ** S(2)) ** (S(3) / 2) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ) + S(9) * x * (a - b * x ** S(2)) / ( S(32) * a ** S(3) * sqrt(a + b * x ** S(2)) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ) + S(19) * sqrt(S(2)) * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atan(sqrt(S(2)) * sqrt(b) * x / sqrt(a - b * x ** S(2))) / (S(64) * a ** S(3) * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - b * x ** S(2)) ** (S(5) / 2) / sqrt(a ** S(2) - b ** S(2) * x ** S(4)), x, ), x, S(19) * a ** S(2) * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atanh(sqrt(b) * x / sqrt(a + b * x ** S(2))) / (S(8) * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))) - S(9) * a * x * sqrt(a - b * x ** S(2)) * (a + b * x ** S(2)) / (S(8) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))) - x * (a - b * x ** S(2)) ** (S(3) / 2) * (a + b * x ** S(2)) / (S(4) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (a - b * x ** S(2)) ** (S(3) / 2) / sqrt(a ** S(2) - b ** S(2) * x ** S(4)), x, ), x, S(3) * a * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atanh(sqrt(b) * x / sqrt(a + b * x ** S(2))) / (S(2) * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))) - x * sqrt(a - b * x ** S(2)) * (a + b * x ** S(2)) / (S(2) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(a - b * x ** S(2)) / sqrt(a ** S(2) - b ** S(2) * x ** S(4)), x ), x, sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atanh(sqrt(b) * x / sqrt(a + b * x ** S(2))) / (sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / (sqrt(a - b * x ** S(2)) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), x, ), x, sqrt(S(2)) * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atanh(sqrt(S(2)) * sqrt(b) * x / sqrt(a + b * x ** S(2))) / (S(2) * a * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( (a - b * x ** S(2)) ** (S(3) / 2) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ), x, ), x, x * (a + b * x ** S(2)) / ( S(4) * a ** S(2) * sqrt(a - b * x ** S(2)) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ) + S(3) * sqrt(S(2)) * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atanh(sqrt(S(2)) * sqrt(b) * x / sqrt(a + b * x ** S(2))) / (S(8) * a ** S(2) * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( S(1) / ( (a - b * x ** S(2)) ** (S(5) / 2) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ), x, ), x, x * (a + b * x ** S(2)) / ( S(8) * a ** S(2) * (a - b * x ** S(2)) ** (S(3) / 2) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ) + S(9) * x * (a + b * x ** S(2)) / ( S(32) * a ** S(3) * sqrt(a - b * x ** S(2)) * sqrt(a ** S(2) - b ** S(2) * x ** S(4)) ) + S(19) * sqrt(S(2)) * sqrt(a - b * x ** S(2)) * sqrt(a + b * x ** S(2)) * atanh(sqrt(S(2)) * sqrt(b) * x / sqrt(a + b * x ** S(2))) / (S(64) * a ** S(3) * sqrt(b) * sqrt(a ** S(2) - b ** S(2) * x ** S(4))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(x ** S(2) / (x ** S(2) + S(-1))) / (x ** S(2) + S(1)), x), x, sqrt(S(2)) * sqrt(-(x ** S(2)) / (-(x ** S(2)) + S(1))) * sqrt(x ** S(2) + S(-1)) * atan(sqrt(S(2)) * sqrt(x ** S(2) + S(-1)) / S(2)) / (S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(x ** S(2) / (a + x ** S(2) * (a + S(1)) + S(-1))) / (x ** S(2) + S(1)), x, ), x, sqrt(S(2)) * sqrt(-(x ** S(2)) / (-a - x ** S(2) * (a + S(1)) + S(1))) * sqrt(a + x ** S(2) * (a + S(1)) + S(-1)) * atan(sqrt(S(2)) * sqrt(a + x ** S(2) * (a + S(1)) + S(-1)) / S(2)) / (S(2) * x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(((x + S(1)) * (x ** S(2) + S(-1))) ** (S(-2) / 3), x), x, (S(3) * x ** S(2) / S(2) + S(-3) / 2) / ((-x + S(-1)) * (-(x ** S(2)) + S(1))) ** (S(2) / 3), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate(((x + S(1)) * (x ** S(2) + S(-1))) ** (S(-2) / 3), x), x, (x + S(1)) * (S(3) * x / S(2) + S(-3) / 2) / (x ** S(3) + x ** S(2) - x + S(-1)) ** (S(2) / 3), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(-1)) / (sqrt(x * (x ** S(2) + S(1))) * (x ** S(2) + S(1))), x ), x, -S(2) * x / sqrt(x * (x ** S(2) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( (x ** S(2) + S(-1)) / ((x ** S(2) + S(1)) * sqrt(x ** S(3) + x)), x ), x, -S(2) * x / sqrt(x ** S(3) + x), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt((x ** S(2) + S(-1)) ** S(2) / (x * (x ** S(2) + S(1)))) / (x ** S(2) + S(1)), x, ), x, S(2) * x * sqrt((-(x ** S(2)) + S(1)) ** S(2) / (x * (x ** S(2) + S(1)))) / (-(x ** S(2)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt((x ** S(2) + S(-1)) ** S(2) / (x ** S(3) + x)) / (x ** S(2) + S(1)), x ), x, S(2) * x * sqrt((-(x ** S(2)) + S(1)) ** S(2) / (x ** S(3) + x)) / (-(x ** S(2)) + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / (sqrt(a + b / x ** S(2)) * sqrt(c + d * x ** S(2))), x), x, sqrt(a * x ** S(2) + b) * atanh(sqrt(d) * sqrt(a * x ** S(2) + b) / (sqrt(a) * sqrt(c + d * x ** S(2)))) / (sqrt(a) * sqrt(d) * x * sqrt(a + b / x ** S(2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(x ** S(4) - S(2) * x ** S(2)) / ((x ** S(2) + S(-1)) * (x ** S(2) + S(2))), x, ), x, S(2) * sqrt(x ** S(4) - S(2) * x ** S(2)) * atan(sqrt(x ** S(2) + S(-2)) / S(2)) / (S(3) * x * sqrt(x ** S(2) + S(-2))) - sqrt(x ** S(4) - S(2) * x ** S(2)) * atan(sqrt(x ** S(2) + S(-2))) / (S(3) * x * sqrt(x ** S(2) + S(-2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(S(1) - S(1) / (x ** S(2) + S(-1)) ** S(2)) / (-(x ** S(2)) + S(2)), x ), x, sqrt(S(1) - S(1) / (-(x ** S(2)) + S(1)) ** S(2)) * (-(x ** S(2)) + S(1)) * atan(sqrt(x ** S(2) + S(-2))) / (x * sqrt(x ** S(2) + S(-2))), expand=True, _diff=True, _numerical=True, ) or rubi_test( rubi_integrate( sqrt(S(1) - S(1) / (x ** S(2) + S(-1)) ** S(2)) / (-(x ** S(2)) + S(2)), x ), x, sqrt(S(1) - S(1) / (-(x ** S(2)) + S(1)) ** S(2)) * (-(x ** S(2)) + S(1)) * sqrt(x ** S(4) - S(2) * x ** S(2)) * atan(sqrt(x ** S(2) + S(-2))) / (x * sqrt(x ** S(2) + S(-2)) * sqrt((x ** S(2) + S(-1)) ** S(2) + S(-1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt((x ** S(4) - S(2) * x ** S(2)) / (x ** S(2) + S(-1)) ** S(2)) / (x ** S(2) + S(2)), x, ), x, sqrt((x ** S(4) - S(2) * x ** S(2)) / (-(x ** S(2)) + S(1)) ** S(2)) * (-(x ** S(2)) / S(3) + S(1) / 3) * atan(sqrt(x ** S(2) + S(-2))) / (x * sqrt(x ** S(2) + S(-2))) + sqrt((x ** S(4) - S(2) * x ** S(2)) / (-(x ** S(2)) + S(1)) ** S(2)) * (S(2) * x ** S(2) / S(3) + S(-2) / 3) * atan(sqrt(x ** S(2) + S(-2)) / S(2)) / (x * sqrt(x ** S(2) + S(-2))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x / (x ** S(2) + S(1)) + S(1)) ** (S(5) / 2), x), x, -(-x / S(3) + S(1) / 3) * (x + S(1)) ** S(3) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) / (x ** S(2) + S(1)) + (x + S(1)) * (S(8) * x / S(3) + S(-4) / 3) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) - (S(3) * x + S(4)) * (x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) / (x + S(1)) + S(5) * sqrt(x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) * asinh(x) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x / (x ** S(2) + S(1)) + S(1)) ** (S(3) / 2), x), x, -x * (x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) / (x + S(1)) + (x + S(-1)) * (x + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) + S(3) * sqrt(x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) * asinh(x) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)), x), x, sqrt(x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) * asinh(x) / (x + S(1)) + (x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(S(1) / sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)), x), x, (x + S(1)) / sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) - (x + S(1)) * asinh(x) / (sqrt(x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1))) - sqrt(S(2)) * (x + S(1)) * atanh(sqrt(S(2)) * (-x + S(1)) / (S(2) * sqrt(x ** S(2) + S(1)))) / (sqrt(x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((S(2) * x / (x ** S(2) + S(1)) + S(1)) ** (S(-3) / 2), x), x, (S(3) * x / S(2) + S(3)) / sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) - (S(3) * x + S(3)) * asinh(x) / (sqrt(x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1))) - sqrt(S(2)) * (S(9) * x / S(2) + S(9) / 2) * atanh(sqrt(S(2)) * (-x + S(1)) / (S(2) * sqrt(x ** S(2) + S(1)))) / (S(2) * sqrt(x ** S(2) + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1))) + (-(x ** S(2)) / S(2) + S(-1) / 2) / ((x + S(1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1))), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate( sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) / (x ** S(2) + S(1)), x ), x, (x + S(-1)) * sqrt(S(2) * x / (x ** S(2) + S(1)) + S(1)) / (x + S(1)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (c / (a + b * x ** S(2))) ** (S(3) / 2), x), x, -c * x * sqrt(c / (a + b * x ** S(2))) / b + c * sqrt(c / (a + b * x ** S(2))) * sqrt(a + b * x ** S(2)) * atanh(sqrt(b) * x / sqrt(a + b * x ** S(2))) / b ** (S(3) / 2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c / (a + b * x ** S(2))) ** (S(3) / 2), x), x, -c * sqrt(c / (a + b * x ** S(2))) / b, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c / (a + b * x ** S(2))) ** (S(3) / 2), x), x, c * x * sqrt(c / (a + b * x ** S(2))) / a, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c / (a + b * x ** S(2))) ** (S(3) / 2) / x, x), x, c * sqrt(c / (a + b * x ** S(2))) / a - c * sqrt(c / (a + b * x ** S(2))) * sqrt(a + b * x ** S(2)) * atanh(sqrt(a + b * x ** S(2)) / sqrt(a)) / a ** (S(3) / 2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c / (a + b * x ** S(2))) ** (S(3) / 2) / x ** S(2), x), x, -c * sqrt(c / (a + b * x ** S(2))) / (a * x) - S(2) * b * c * x * sqrt(c / (a + b * x ** S(2))) / a ** S(2), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c / (a + b * x ** S(2))) ** (S(3) / 2) / x ** S(3), x), x, c * sqrt(c / (a + b * x ** S(2))) / (a * x ** S(2)) - S(3) * c * sqrt(c / (a + b * x ** S(2))) * (a + b * x ** S(2)) / (S(2) * a ** S(2) * x ** S(2)) + S(3) * b * c * sqrt(c / (a + b * x ** S(2))) * sqrt(a + b * x ** S(2)) * atanh(sqrt(a + b * x ** S(2)) / sqrt(a)) / (S(2) * a ** (S(5) / 2)), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x ** S(2) * (c * (a + b * x ** S(2)) ** S(3)) ** (S(3) / 2), x), x, -S(21) * a ** S(6) * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * atanh(sqrt(b) * x / sqrt(a + b * x ** S(2))) / (S(1024) * b ** (S(3) / 2) * (a + b * x ** S(2)) ** (S(3) / 2)) + S(21) * a ** S(5) * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) / (S(1024) * b * (a + b * x ** S(2))) + S(21) * a ** S(4) * c * x ** S(3) * sqrt(c * (a + b * x ** S(2)) ** S(3)) / (S(512) * (a + b * x ** S(2))) + S(7) * a ** S(3) * c * x ** S(3) * sqrt(c * (a + b * x ** S(2)) ** S(3)) / S(128) + S(21) * a ** S(2) * c * x ** S(3) * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) / S(320) + S(3) * a * c * x ** S(3) * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(2) / S(40) + c * x ** S(3) * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(3) / S(12), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate(x * (c * (a + b * x ** S(2)) ** S(3)) ** (S(3) / 2), x), x, c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(4) / (S(11) * b), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * (a + b * x ** S(2)) ** S(3)) ** (S(3) / 2), x), x, S(63) * a ** S(5) * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * atanh(sqrt(b) * x / sqrt(a + b * x ** S(2))) / (S(256) * sqrt(b) * (a + b * x ** S(2)) ** (S(3) / 2)) + S(63) * a ** S(4) * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) / (S(256) * (a + b * x ** S(2))) + S(21) * a ** S(3) * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) / S(128) + S(21) * a ** S(2) * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) / S(160) + S(9) * a * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(2) / S(80) + c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(3) / S(10), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * (a + b * x ** S(2)) ** S(3)) ** (S(3) / 2) / x, x), x, -(a ** (S(9) / 2)) * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * atanh(sqrt(a + b * x ** S(2)) / sqrt(a)) / (a + b * x ** S(2)) ** (S(3) / 2) + a ** S(4) * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) / (a + b * x ** S(2)) + a ** S(3) * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) / S(3) + a ** S(2) * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) / S(5) + a * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(2) / S(7) + c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(3) / S(9), expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * (a + b * x ** S(2)) ** S(3)) ** (S(3) / 2) / x ** S(2), x), x, S(315) * a ** S(4) * sqrt(b) * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * atanh(sqrt(b) * x / sqrt(a + b * x ** S(2))) / (S(128) * (a + b * x ** S(2)) ** (S(3) / 2)) + S(315) * a ** S(3) * b * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) / (S(128) * (a + b * x ** S(2))) + S(105) * a ** S(2) * b * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) / S(64) + S(21) * a * b * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) / S(16) + S(9) * b * c * x * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(2) / S(8) - c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(3) / x, expand=True, _diff=True, _numerical=True, ) assert rubi_test( rubi_integrate((c * (a + b * x ** S(2)) ** S(3)) ** (S(3) / 2) / x ** S(3), x), x, -S(9) * a ** (S(7) / 2) * b * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * atanh(sqrt(a + b * x ** S(2)) / sqrt(a)) / (S(2) * (a + b * x ** S(2)) ** (S(3) / 2)) + S(9) * a ** S(3) * b * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) / (S(2) * (a + b * x ** S(2))) + S(3) * a ** S(2) * b * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) / S(2) + S(9) * a * b * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) / S(10) + S(9) * b * c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(2) / S(14) - c * sqrt(c * (a + b * x ** S(2)) ** S(3)) * (a + b * x ** S(2)) ** S(3) / (S(2) * x ** S(2)), expand=True, _diff=True, _numerical=True, )
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9
972170b0be3517e4f17da3272e43f30325f3b83a
1,020,857
py
Python
results/Xavier/Params.py
onkfotocer/CAUPER
b7be07c6736ce52a70f2c37ea31ae752075a0211
[ "MIT" ]
1
2021-01-06T08:59:22.000Z
2021-01-06T08:59:22.000Z
results/Xavier/Params.py
onkfotocer/CAUPER
b7be07c6736ce52a70f2c37ea31ae752075a0211
[ "MIT" ]
17
2021-02-05T19:07:52.000Z
2021-02-05T19:17:07.000Z
results/Xavier/Params.py
onkfotocer/CAUPER
b7be07c6736ce52a70f2c37ea31ae752075a0211
[ "MIT" ]
null
null
null
params = [['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '102000000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '1062400000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '1331200000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '1600000000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '1866000000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '204000000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '40800000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '408000000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '665600000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '68000000'], ['1', '0', '0', '0', '1113600', '1', '1032750000', '1', '800000000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '102000000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '1062400000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '1331200000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '1600000000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '1866000000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '204000000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '40800000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '408000000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '665600000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '68000000'], ['1', '0', '0', '0', '1113600', '1', '1122000000', '1', '800000000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '102000000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '1062400000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '1331200000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '1600000000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '1866000000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '204000000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '40800000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '408000000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '665600000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '68000000'], ['1', '0', '0', '0', '1113600', '1', '1211250000', '1', '800000000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '102000000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '1062400000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '1331200000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '1600000000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '1866000000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '204000000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '40800000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '408000000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '665600000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '68000000'], ['1', '0', '0', '0', '1113600', '1', '1300500000', '1', '800000000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '102000000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '1062400000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '1331200000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '1600000000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '1866000000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '204000000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '40800000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '408000000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '665600000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '68000000'], ['1', '0', '0', '0', '1113600', '1', '140250000', '1', '800000000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '102000000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '1062400000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '1331200000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '1600000000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '1866000000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '204000000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '40800000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '408000000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '665600000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '68000000'], ['1', '0', '0', '0', '1113600', '1', '229500000', '1', '800000000'], ['1', '0', '0', '0', '1113600', '1', '318750000', '1', '102000000'], ['1', '0', '0', '0', '1113600', '1', '318750000', '1', '1062400000'], ['1', '0', '0', '0', '1113600', '1', '318750000', '1', '1331200000'], ['1', '0', '0', '0', '1113600', '1', '318750000', '1', '1600000000'], ['1', '0', '0', '0', '1113600', '1', '318750000', '1', '1866000000'], ['1', '0', 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py
Python
planet/tests/test_views.py
tzulberti/django-planet
7e61d592a5bd65d20253f95d6a1cb49f74efb05f
[ "BSD-3-Clause" ]
83
2015-01-01T14:04:17.000Z
2022-02-04T11:55:41.000Z
planet/tests/test_views.py
tzulberti/django-planet
7e61d592a5bd65d20253f95d6a1cb49f74efb05f
[ "BSD-3-Clause" ]
41
2015-04-18T01:21:09.000Z
2020-02-06T12:43:11.000Z
planet/tests/test_views.py
tzulberti/django-planet
7e61d592a5bd65d20253f95d6a1cb49f74efb05f
[ "BSD-3-Clause" ]
37
2015-01-01T14:04:19.000Z
2021-12-01T00:17:45.000Z
# -*- coding: utf-8 -*- from mock import patch from django.contrib.sites.models import Site from django.test import TestCase from planet.models import Post from planet.tests.factories import ( BlogFactory, FeedFactory, PostFactory, AuthorFactory ) class BlogViewsTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.blog = BlogFactory.create(title="Blog-1") self.feed = FeedFactory.create(title="Feed-1", site=self.site, blog=self.blog) def test_list(self): response = self.client.get("/blogs/") self.assertEqual(response.status_code, 200) def test_detail(self): response = self.client.get("/blogs/1/") self.assertEqual(response.status_code, 301) response = self.client.get("/blogs/1/blog-1/") self.assertEqual(response.status_code, 200) response = self.client.get("/blogs/2/other-blog/") self.assertEqual(response.status_code, 404) def tearDown(self): self.blog.delete() self.feed.delete() class FeedViewsTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.feed = FeedFactory.create(title="Feed-1", site=self.site) self.post = PostFactory.create(feed=self.feed) self.post.tags = "tag1, tag2" def test_list(self): response = self.client.get("/feeds/") self.assertEqual(response.status_code, 200) def test_detail(self): response = self.client.get("/feeds/1/") self.assertEqual(response.status_code, 301) response = self.client.get("/feeds/1/feed-1/") self.assertEqual(response.status_code, 200) response = self.client.get("/feeds/2/other-feed/") self.assertEqual(response.status_code, 404) def test_feed_tags(self): response = self.client.get("/feeds/1/feed-1/tags/tag1/") self.assertEqual(response.status_code, 200) response = self.client.get("/feeds/1/feed-1/tags/tag2/") self.assertEqual(response.status_code, 200) response = self.client.get("/feeds/1/feed-1/tags/tag3/") self.assertEqual(response.status_code, 404) def tearDown(self): self.feed.delete() self.post.delete() class PostViewsTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.feed = FeedFactory.create(title="Feed-1", site=self.site) self.post = PostFactory.create(feed=self.feed) def test_list(self): response = self.client.get("/posts/") self.assertEqual(response.status_code, 200) def test_detail(self): response = self.client.get("/posts/1/") self.assertEqual(response.status_code, 301) response = self.client.get("/posts/1/post-1/") self.assertEqual(response.status_code, 200) response = self.client.get("/posts/2/other-post/") self.assertEqual(response.status_code, 404) def tearDown(self): self.post.delete() self.feed.delete() class AuthorViewsTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.feed = FeedFactory.create(title="Feed-1", site=self.site) self.author = AuthorFactory.create(name="Author-1") self.post_list = PostFactory.create_batch(size=3, feed=self.feed, authors=[self.author]) post = self.post_list[0] post.tags = "tag1, tag2" def test_list(self): response = self.client.get("/authors/") self.assertEqual(response.status_code, 200) def test_detail(self): response = self.client.get("/authors/1/") self.assertEqual(response.status_code, 301) response = self.client.get("/authors/1/author-1/") self.assertEqual(response.status_code, 200) response = self.client.get("/authors/2/other-author/") self.assertEqual(response.status_code, 404) def test_tag_detail(self): response = self.client.get("/authors/1/author-1/tags/tag1/") self.assertEqual(response.status_code, 200) response = self.client.get("/authors/1/author-1/tags/tag2/") self.assertEqual(response.status_code, 200) response = self.client.get("/authors/1/author-1/tags/tag3/") self.assertEqual(response.status_code, 404) def tearDown(self): self.author.delete() self.feed.delete() class TagViewsTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.feed = FeedFactory.create(title="Feed-1", site=self.site) self.post = PostFactory.create(feed=self.feed) self.post.tags = "tag1, tag2" def test_list(self): response = self.client.get("/tags/") self.assertEqual(response.status_code, 200) def test_feed_list(self): response = self.client.get("/tags/tag1/feeds/") self.assertEqual(response.status_code, 200) response = self.client.get("/tags/tag3/feeds/") self.assertEqual(response.status_code, 404) def test_author_list(self): response = self.client.get("/tags/tag1/authors/") self.assertEqual(response.status_code, 200) response = self.client.get("/tags/tag3/authors/") self.assertEqual(response.status_code, 404) def test_detail(self): response = self.client.get("/tags/tag1/") self.assertEqual(response.status_code, 200) response = self.client.get("/tags/other-tag/") self.assertEqual(response.status_code, 404) def tearDown(self): self.post.delete() self.feed.delete() class MicroformatsViewsTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.feed = FeedFactory.create(title="Feed-1", site=self.site) def test_opml(self): response = self.client.get("/opml/") self.assertEqual(response.status_code, 200) def test_foaf(self): response = self.client.get("/foaf/") self.assertEqual(response.status_code, 200) def tearDown(self): self.feed.delete() class FeedsViewsTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.feed = FeedFactory.create(title="Feed-1", site=self.site) self.author = AuthorFactory.create(name="Author-1") self.post = PostFactory.create(feed=self.feed, authors=[self.author]) self.post.tags = "tag1, tag2" def test_rss(self): response = self.client.get("/posts/feeds/rss/") self.assertEqual(response.status_code, 200) def test_tag_feeds(self): response = self.client.get("/feeds/rss/tags/tag1/") self.assertEqual(response.status_code, 200) response = self.client.get("/feeds/rss/tags/tag2/") self.assertEqual(response.status_code, 200) response = self.client.get("/feeds/rss/tags/tag3/") self.assertEqual(response.status_code, 404) def test_author_feeds(self): response = self.client.get("/feeds/rss/authors/1/") self.assertEqual(response.status_code, 200) response = self.client.get("/feeds/rss/authors/author-1/") self.assertEqual(response.status_code, 404) def tearDown(self): self.post.delete() self.author.delete() self.feed.delete() class IndexViewTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.feed = FeedFactory.create(title="Feed-1", site=self.site) self.post = PostFactory.create(feed=self.feed) def test_index(self): response = self.client.get("/") self.assertEqual(response.status_code, 200) def tearDown(self): self.post.delete() self.feed.delete() class SearchViewTest(TestCase): def setUp(self): self.site = Site.objects.get_current() self.feed = FeedFactory.create(title="Feed-1", site=self.site) self.post_list = PostFactory.create_batch(size=5, feed=self.feed) def test_invalid_search(self): response = self.client.get("/search/") self.assertEqual(response.status_code, 302) def test_post_search(self): response = self.client.get("/search/?search=go&q=post&w=posts") self.assertEqual(response.status_code, 200) def test_author_search(self): response = self.client.get("/search/?search=go&q=author&w=authors") self.assertEqual(response.status_code, 200) def test_feed_search(self): response = self.client.get("/search/?search=go&q=feed&w=feeds") self.assertEqual(response.status_code, 200) def test_tag_search(self): response = self.client.get("/search/?search=go&q=tag&w=tags") self.assertEqual(response.status_code, 200) def tearDown(self): self.feed.delete()
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8
9779be6d857df38ccd56ee42985aefb9bab2312f
1,662
py
Python
strings_for_testing.py
zachwill/amazon-reviewers
ab9fc1d272f2d631b1329c731f60f3840342e6a1
[ "Unlicense" ]
1
2015-11-08T02:37:49.000Z
2015-11-08T02:37:49.000Z
strings_for_testing.py
zachwill/amazon-reviewers
ab9fc1d272f2d631b1329c731f60f3840342e6a1
[ "Unlicense" ]
1
2017-06-27T03:53:52.000Z
2017-06-27T17:19:24.000Z
strings_for_testing.py
zachwill/amazon-reviewers
ab9fc1d272f2d631b1329c731f60f3840342e6a1
[ "Unlicense" ]
null
null
null
eleven_pages = """ <span class="paging"> <span class="on">1</span> <a href="http://second-page">2</a> <a href="http://last-page">11</a> </span> <span class="paging"> <span>This Is Not</span> <a href="http://false">The Data</a> <a href="http://false">You're Looking For</a> </span>""" five_pages = """ <span class="paging"> <span class="on">1</span> <a href="http://second-page">2</a> <a href="http://last-page">5</a> </span> <span class="paging"> <span>This Is Not</span> <a href="http://false">The Data</a> <a href="http://false">You're Looking For</a> </span>""" reviewers_table = """ <table id="productReviews"> <tr> <td> <div> <div> <a href="blah">Not What You Want</a> <a href="http://data-you-want">See all my reviews</a> </div> </div> </td> </tr> <tr> <td> <div> <div> <a href="blah">Not What You Want</a> <a href="http://data-you-want">See all my reviews</a> </div> </div> </td> </tr> <tr> <td> <div> <div> <a href="blah">Not What You Want</a> <a href="http://data-you-want">See all my reviews</a> </div> </div> </td> </tr> </table>"""
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8
97b3229aa9c1a57baebddb2d040544a6c569291c
153
py
Python
innovation_tracker.py
hugofragata/PyNEAT
cce62c301a23c28f123323355b1e2d3174209d14
[ "MIT" ]
3
2016-12-12T22:28:11.000Z
2018-10-04T17:05:29.000Z
innovation_tracker.py
hugofragata/PyNEAT
cce62c301a23c28f123323355b1e2d3174209d14
[ "MIT" ]
null
null
null
innovation_tracker.py
hugofragata/PyNEAT
cce62c301a23c28f123323355b1e2d3174209d14
[ "MIT" ]
3
2016-12-15T11:20:08.000Z
2018-10-04T17:05:34.000Z
class InnovationTracker(): def __init__(self): self.id = 1 def next_id(self): id = self.id self.id+=1 return id
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c11bfba9b78b4409b0a298d5126b3461ca7ff152
13,573
py
Python
tests/headsets/test_routes.py
EasyVizAR/edge-server
523d64da5a9579d7c99bede47985a7a09d33f9ec
[ "MIT" ]
null
null
null
tests/headsets/test_routes.py
EasyVizAR/edge-server
523d64da5a9579d7c99bede47985a7a09d33f9ec
[ "MIT" ]
null
null
null
tests/headsets/test_routes.py
EasyVizAR/edge-server
523d64da5a9579d7c99bede47985a7a09d33f9ec
[ "MIT" ]
1
2021-09-17T16:13:16.000Z
2021-09-17T16:13:16.000Z
import os from http import HTTPStatus import pytest from server.main import app @pytest.mark.asyncio async def test_headset_routes(): """ Test headset routes """ # Name of a field within the resource which we can change and test. test_field = "name" async with app.test_client() as client: headsets_url = "/headsets" # Initial list of headsets response = await client.get(headsets_url) assert response.status_code == HTTPStatus.OK assert response.is_json headsets = await response.get_json() assert isinstance(headsets, list) # Initial list of headsets with envelope response = await client.get(headsets_url + "?envelope=items") assert response.status_code == HTTPStatus.OK assert response.is_json headsets2 = await response.get_json() assert isinstance(headsets2, dict) assert isinstance(headsets2['items'], list) # Create an object response = await client.post(headsets_url, json={test_field: "foo"}) assert response.status_code == HTTPStatus.CREATED assert response.is_json headset = await response.get_json() assert isinstance(headset, dict) assert headset['id'] is not None assert headset[test_field] == "foo" headset_url = "{}/{}".format(headsets_url, headset['id']) # Test getting the object back response = await client.get(headset_url) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] assert headset2[test_field] == headset[test_field] # Test changing the name response = await client.patch(headset_url, json={"id": "bad", test_field: "bar"}) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] assert headset2[test_field] == "bar" # Test changing the location and querying for headsets at that location response = await client.patch(headset_url, json={"location_id": "somewhere"}) assert response.status_code == HTTPStatus.OK response = await client.get("/headsets?location_id=somewhere") assert response.status_code == HTTPStatus.OK assert response.is_json headsets = await response.get_json() assert isinstance(headsets, list) assert headset['id'] in (h['id'] for h in headsets) # Test replacement response = await client.put(headset_url, json=headset) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] assert headset2[test_field] == headset[test_field] # Test deleting the object response = await client.delete(headset_url) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] # Test creating object through PUT response = await client.put(headset_url, json=headset) assert response.status_code == HTTPStatus.CREATED assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] assert headset2[test_field] == headset[test_field] # Test that object does not exist after DELETE response = await client.delete(headset_url) assert response.status_code == HTTPStatus.OK response = await client.delete(headset_url) assert response.status_code == HTTPStatus.NOT_FOUND response = await client.get(headset_url) assert response.status_code == HTTPStatus.NOT_FOUND response = await client.patch(headset_url, json={test_field: "bar"}) assert response.status_code == HTTPStatus.NOT_FOUND @pytest.mark.asyncio async def test_headset_put_updates(): """ Test headset PUT updates """ async with app.test_client() as client: headsets_url = "/headsets" # Create an object response = await client.post(headsets_url, json=dict(name="Test PUT")) assert response.status_code == HTTPStatus.CREATED assert response.is_json headset = await response.get_json() assert isinstance(headset, dict) assert headset['id'] is not None assert headset['name'] == "Test PUT" assert headset['position'] is not None assert headset['orientation'] is not None headset_url = "{}/{}".format(headsets_url, headset['id']) # Test changing position only updated = headset.copy() updated['position'] = dict(x=1, y=1, z=1) response = await client.put(headset_url, json=updated) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert isinstance(headset, dict) assert headset2['id'] == headset['id'] assert headset2['position'] == updated['position'] assert headset2['orientation'] == updated['orientation'] assert headset2['updated'] > updated['updated'] # Test changing orientation only updated = headset2.copy() updated['orientation'] = dict(x=1, y=0, z=0, w=0) response = await client.put(headset_url, json=updated) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert isinstance(headset, dict) assert headset2['id'] == headset['id'] assert headset2['position'] == updated['position'] assert headset2['orientation'] == updated['orientation'] assert headset2['updated'] > updated['updated'] # Test changing position and orientation updated = headset2.copy() updated['position'] = dict(x=2, y=2, z=2) updated['orientation'] = dict(x=1, y=0, z=0, w=0) response = await client.put(headset_url, json=updated) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert isinstance(headset, dict) assert headset2['id'] == headset['id'] assert headset2['position'] == updated['position'] assert headset2['orientation'] == updated['orientation'] assert headset2['updated'] > updated['updated'] # Test GET headset returns an appropriate object response = await client.get(headset_url) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] assert headset2['position'] == updated['position'] assert headset2['orientation'] == updated['orientation'] assert headset2['updated'] > headset['updated'] # Test pose changes returns all of the changes pose_changes_url = "/headsets/{}/pose-changes".format(headset['id']) response = await client.get(pose_changes_url) assert response.status_code == HTTPStatus.OK assert response.is_json changes = await response.get_json() assert isinstance(changes, list) assert len(changes) == 3 assert int(changes[0]['position']['x']) == 1 assert int(changes[1]['orientation']['x']) == 1 assert int(changes[2]['position']['x']) == 2 # Test deleting the object response = await client.delete(headset_url) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] @pytest.mark.asyncio async def test_headset_patch_updates(): """ Test headset PATCH updates """ async with app.test_client() as client: headsets_url = "/headsets" # Create an object response = await client.post(headsets_url, json=dict(name="Test PATCH")) assert response.status_code == HTTPStatus.CREATED assert response.is_json headset = await response.get_json() assert isinstance(headset, dict) assert headset['id'] is not None assert headset['name'] == "Test PATCH" assert headset['position'] is not None assert headset['orientation'] is not None headset_url = "{}/{}".format(headsets_url, headset['id']) # Test changing position only position = dict(x=1, y=1, z=1) response = await client.patch(headset_url, json=dict(position=position)) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert isinstance(headset, dict) assert headset2['id'] == headset['id'] assert headset2['position'] == position assert headset2['orientation'] == headset['orientation'] assert headset2['updated'] > headset['updated'] # Test changing orientation only orientation = dict(x=1, y=0, z=0, w=0) response = await client.patch(headset_url, json=dict(orientation=orientation)) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert isinstance(headset, dict) assert headset2['id'] == headset['id'] assert headset2['position'] == position assert headset2['orientation'] == orientation assert headset2['updated'] > headset['updated'] # Test changing position and orientation position = dict(x=2, y=2, z=2) orientation = dict(x=1, y=0, z=0, w=0) response = await client.patch(headset_url, json=dict(position=position, orientation=orientation)) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert isinstance(headset, dict) assert headset2['id'] == headset['id'] assert headset2['position'] == position assert headset2['orientation'] == orientation assert headset2['updated'] > headset['updated'] # Test GET headset returns an appropriate object response = await client.get(headset_url) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] assert headset2['position'] == position assert headset2['orientation'] == orientation assert headset2['updated'] > headset['updated'] # Test pose changes returns all of the changes pose_changes_url = "/headsets/{}/pose-changes".format(headset['id']) response = await client.get(pose_changes_url) assert response.status_code == HTTPStatus.OK assert response.is_json changes = await response.get_json() assert isinstance(changes, list) assert len(changes) == 3 assert int(changes[0]['position']['x']) == 1 assert int(changes[1]['orientation']['x']) == 1 assert int(changes[2]['position']['x']) == 2 # Test deleting the object response = await client.delete(headset_url) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert headset2['id'] == headset['id'] @pytest.mark.asyncio async def test_headset_incidents_tracking(): """ Test that server tracks list of incidents in which a headset is active. """ async with app.test_client() as client: # Create a headset response = await client.post("/headsets", json=dict(name="Test Incidents")) assert response.status_code == HTTPStatus.CREATED assert response.is_json headset = await response.get_json() assert isinstance(headset, dict) # Create a new incident response = await client.post("/incidents", json=dict(name="Test Incident")) assert response.status_code == HTTPStatus.CREATED assert response.is_json incident = await response.get_json() assert isinstance(incident, dict) # List of active headsets should be empty response = await client.get("/incidents/active/headsets") assert response.status_code == HTTPStatus.OK assert response.is_json active = await response.get_json() assert isinstance(active, list) assert len(active) == 0 headset_url = "/headsets/{}".format(headset['id']) # Test changing headset position position = dict(x=1, y=1, z=1) response = await client.patch(headset_url, json=dict(position=position)) assert response.status_code == HTTPStatus.OK assert response.is_json headset2 = await response.get_json() assert isinstance(headset2, dict) # List of active headsets should contain the headset response = await client.get("/incidents/active/headsets") assert response.status_code == HTTPStatus.OK assert response.is_json active = await response.get_json() assert isinstance(active, list) assert len(active) == 1 assert active[0]['id'] == headset['id'] # Clean up await client.delete(headset_url) await client.delete("/incidents/{}".format(incident['id']))
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8
c1391f8511e89813aae46f1721e06e15a2d0da02
10,123
py
Python
tests/unit/pypyr/steps/filereplace_test.py
pypyr/pypyr-cli
dc0f694ac0c0e3c2844c1a20788c9af586a8a16e
[ "Apache-2.0" ]
31
2017-03-24T11:27:34.000Z
2020-05-27T20:06:28.000Z
tests/unit/pypyr/steps/filereplace_test.py
pypyr/pypyr-cli
dc0f694ac0c0e3c2844c1a20788c9af586a8a16e
[ "Apache-2.0" ]
89
2017-04-12T09:50:32.000Z
2020-08-13T13:18:36.000Z
tests/unit/pypyr/steps/filereplace_test.py
pypyr/pypyr-cli
dc0f694ac0c0e3c2844c1a20788c9af586a8a16e
[ "Apache-2.0" ]
6
2017-06-04T14:19:59.000Z
2020-02-10T13:16:40.000Z
"""fileformat.py unit tests.""" import pytest from pypyr.context import Context from pypyr.errors import KeyInContextHasNoValueError, KeyNotInContextError import pypyr.steps.filereplace as filereplace # region arg validation def test_filereplace_no_inpath_raises(): """None in path raises.""" context = Context({ 'k1': 'v1'}) with pytest.raises(KeyNotInContextError) as err_info: filereplace.run_step(context) assert str(err_info.value) == ( "context['fileReplace'] doesn't exist. " "It must exist for pypyr.steps.filereplace.") def test_filereplace_empty_inpath_raises(): """Empty in path raises.""" context = Context({ 'fileReplace': {'in': None}}) with pytest.raises(KeyInContextHasNoValueError) as err_info: filereplace.run_step(context) assert str(err_info.value) == ("context['fileReplace']['in'] must have a " "value for pypyr.steps.filereplace.") def test_filereplace_no_replacepairs_raises(): """None replacepairs raises.""" context = Context({ 'fileReplace': {'in': 'blah', 'out': 'blah', 'k1': 'v1'}}) with pytest.raises(KeyNotInContextError) as err_info: filereplace.run_step(context) assert str(err_info.value) == ("context['fileReplace']['replacePairs'] " "doesn't exist. It must exist for " "pypyr.steps.filereplace.") def test_filereplace_empty_replacepairs_raises(): """Empty in path raises.""" context = Context({ 'fileReplace': {'in': 'blah', 'out': 'blah', 'replacePairs': None}}) with pytest.raises(KeyInContextHasNoValueError) as err_info: filereplace.run_step(context) assert str(err_info.value) == ( "context['fileReplace']['replacePairs'] must have " "a value for pypyr.steps.filereplace.") # endregion arg validation # region run_step def test_filereplace_pass_no_matches(fs): """Relative path to file should succeed.""" payload = ('this is line 1\n' 'this is line 2\n' 'this is line 3\n' 'this is line 4\n' 'this !£$% * is line 5\n') in_path = './tests/testfiles/test.txt' fs.create_file(in_path, contents=payload) context = Context({ 'ok1': 'ov1', 'fileReplace': {'in': in_path, 'out': './tests/testfiles/out/outreplace.txt', 'replacePairs': { 'XXXXX': 'doesnt exist', 'YYYYY': 'doesnt exist either' }}}) filereplace.run_step(context) assert context, "context shouldn't be None" assert len(context) == 2, "context should have 2 items" assert context['ok1'] == 'ov1' assert context['fileReplace'] == { 'in': './tests/testfiles/test.txt', 'out': './tests/testfiles/out/outreplace.txt', 'replacePairs': { 'XXXXX': 'doesnt exist', 'YYYYY': 'doesnt exist either' }} with open('./tests/testfiles/out/outreplace.txt') as outfile: outcontents = outfile.read() assert outcontents == payload def test_filereplace_pass_with_replacements(fs): """Relative path to file should succeed. Strictly speaking not a unit test. """ payload = ('this {k1} X1 is line 1\n' 'this is line 2 REPLACEME2\n' 'this is line 3\n' 'this rm3 RM3 is RM4 line 4\n' 'this !£$% * is rm5 line 5\n') in_path = './tests/testfiles/testreplace.txt' fs.create_file(in_path, contents=payload) context = Context({ 'k1': 'X1', 'fileReplace': {'in': in_path, 'out': './tests/testfiles/out/outreplace.txt', 'replacePairs': { '{k1}': 'v1', 'REPLACEME2': 'v2', 'RM3': 'v3', 'RM4': 'v4', 'rm5': 'v5', }}}) filereplace.run_step(context) assert context, "context shouldn't be None" assert len(context) == 2, "context should have 2 items" assert context['k1'] == 'X1' assert context['fileReplace'] == { 'in': in_path, 'out': './tests/testfiles/out/outreplace.txt', 'replacePairs': { '{k1}': 'v1', 'REPLACEME2': 'v2', 'RM3': 'v3', 'RM4': 'v4', 'rm5': 'v5', }} with open('./tests/testfiles/out/outreplace.txt') as outfile: outcontents = list(outfile) assert outcontents[0] == "this {k1} v1 is line 1\n" assert outcontents[1] == "this is line 2 v2\n" assert outcontents[2] == "this is line 3\n" assert outcontents[3] == "this rm3 v3 is v4 line 4\n" assert outcontents[4] == "this !£$% * is v5 line 5\n" def test_filereplace_pass_with_substitutions(fs): """Relative path to file should succeed with input substitutions.""" payload = ('this {k1} X1 is line 1\n' 'this is line 2 REPLACEME2\n' 'this is line 3\n' 'this rm3 RM3 is RM4 line 4\n' 'this !£$% * is rm5 line 5\n') in_path = './tests/testfiles/testreplace.txt' fs.create_file(in_path, contents=payload, encoding='utf-16') context = Context({ 'k1': 'X1', 'inFile': 'testreplace', 'outFile': 'outreplace', 'enc': 'utf-16', 'fileReplace': {'in': './tests/testfiles/{inFile}.txt', 'out': './tests/testfiles/out/{outFile}.txt', 'encoding': '{enc}', 'replacePairs': { '{k1}': 'v1', 'REPLACEME2': 'v2', 'RM3': 'v3', 'RM4': 'v4', 'rm5': 'v5'}}}) filereplace.run_step(context) assert context, "context shouldn't be None" assert len(context) == 5, "context should have 5 items" assert context['k1'] == 'X1' assert context['fileReplace'] == { 'in': './tests/testfiles/{inFile}.txt', 'out': './tests/testfiles/out/{outFile}.txt', 'encoding': '{enc}', 'replacePairs': { '{k1}': 'v1', 'REPLACEME2': 'v2', 'RM3': 'v3', 'RM4': 'v4', 'rm5': 'v5'}} with open('./tests/testfiles/out/outreplace.txt', encoding='utf-16') as file: outcontent = file.read() expected = ("this {k1} v1 is line 1\n" "this is line 2 v2\n" "this is line 3\n" "this rm3 v3 is v4 line 4\n" "this !£$% * is v5 line 5\n") assert outcontent == expected def test_filereplace_pass_out_is_dir(fs): """Relative path to file should write same filename if out is dir.""" payload = ('this {k1} X1 is line 1\n' 'this is line 2 REPLACEME2\n' 'this is line 3\n' 'this rm3 RM3 is RM4 line 4\n' 'this !£$% * is rm5 line 5\n') in_path = '/testreplace.txt' fs.create_file(in_path, contents=payload) context = Context({ 'k1': 'X1', 'inFile': 'testreplace', 'outDir': '/out/', 'enc': 'utf-16', 'fileReplace': {'in': '/{inFile}.txt', 'out': '{outDir}', 'encodingOut': '{enc}', 'replacePairs': { '{k1}': 'v1', 'REPLACEME2': 'v2', 'RM3': 'v3', 'RM4': 'v4', 'rm5': 'v5'}}}) filereplace.run_step(context) assert context, "context shouldn't be None" assert len(context) == 5, "context should have 5 items" assert context['k1'] == 'X1' assert context['fileReplace'] == { 'in': '/{inFile}.txt', 'out': '{outDir}', 'encodingOut': '{enc}', 'replacePairs': { '{k1}': 'v1', 'REPLACEME2': 'v2', 'RM3': 'v3', 'RM4': 'v4', 'rm5': 'v5'}} with open('/out/testreplace.txt', encoding='utf-16') as file: outcontent = file.read() expected = ("this {k1} v1 is line 1\n" "this is line 2 v2\n" "this is line 3\n" "this rm3 v3 is v4 line 4\n" "this !£$% * is v5 line 5\n") assert outcontent == expected def test_filereplace_pass_out_encoding_in_to_out(fs): """Change encoding from in to out.""" payload = ('this {k1} X1 is line 1\n' 'this is line 2 REPLACEME2\n' 'this is line 3\n' 'this rm3 RM3 is RM4 line 4\n' 'this !£$% * is rm5 line 5\n') in_path = '/testreplace.txt' fs.create_file(in_path, contents=payload, encoding='utf-32') context = Context({ 'k1': 'X1', 'inFile': 'testreplace', 'outDir': '/out/', 'encIn': 'utf-32', 'encOut': 'utf-16', 'fileReplace': {'in': '/{inFile}.txt', 'out': '{outDir}', 'encodingIn': '{encIn}', 'encodingOut': '{encOut}', 'replacePairs': { '{k1}': 'v1', 'REPLACEME2': 'v2', 'RM3': 'v3', 'RM4': 'v4', 'rm5': 'v5'}}}) filereplace.run_step(context) with open('/out/testreplace.txt', encoding='utf-16') as file: outcontent = file.read() expected = ("this {k1} v1 is line 1\n" "this is line 2 v2\n" "this is line 3\n" "this rm3 v3 is v4 line 4\n" "this !£$% * is v5 line 5\n") assert outcontent == expected # endregion run_step
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py
Python
test/test_event_awaiter.py
jochenparm/moler
0253d677e0ef150206758c7991197ba5687d0965
[ "BSD-3-Clause" ]
57
2018-02-20T08:16:47.000Z
2022-03-28T10:36:57.000Z
test/test_event_awaiter.py
jochenparm/moler
0253d677e0ef150206758c7991197ba5687d0965
[ "BSD-3-Clause" ]
377
2018-07-19T11:56:27.000Z
2021-07-09T13:08:12.000Z
test/test_event_awaiter.py
jochenparm/moler
0253d677e0ef150206758c7991197ba5687d0965
[ "BSD-3-Clause" ]
24
2018-04-14T20:49:40.000Z
2022-03-29T10:44:26.000Z
# -*- coding: utf-8 -*- __author__ = 'Marcin Usielski' __copyright__ = 'Copyright (C) 2018-2020, Nokia' __email__ = 'marcin.usielski@nokia.com' from moler.events.unix.wait4prompt import Wait4prompt from moler.event_awaiter import EventAwaiter from moler.threaded_moler_connection import ThreadedMolerConnection import datetime def test_events_true_all(): connection = ThreadedMolerConnection() events = list() patterns = ("aaa", "bbb") for pattern in patterns: event = Wait4prompt(connection=connection, till_occurs_times=1, prompt=pattern) event.start() events.append(event) connection.data_received(pattern, datetime.datetime.now()) assert EventAwaiter.wait_for_all(timeout=0.1, events=events) is True done, not_done = EventAwaiter.separate_done_events(events) assert 2 == len(done) assert 0 == len(not_done) EventAwaiter.cancel_all_events(events) def test_events_false_all(): connection = ThreadedMolerConnection() events = list() patterns = ("aaa", "bbb") for pattern in patterns: event = Wait4prompt(connection=connection, till_occurs_times=1, prompt=pattern) event.start() events.append(event) connection.data_received(patterns[0], datetime.datetime.now()) assert EventAwaiter.wait_for_all(timeout=0.1, events=events) is False done, not_done = EventAwaiter.separate_done_events(events) assert 1 == len(done) assert 1 == len(not_done) EventAwaiter.cancel_all_events(events) def test_events_true_any_all(): connection = ThreadedMolerConnection() events = list() patterns = ("aaa", "bbb") for pattern in patterns: event = Wait4prompt(connection=connection, till_occurs_times=1, prompt=pattern) event.start() events.append(event) connection.data_received(pattern, datetime.datetime.now()) assert EventAwaiter.wait_for_any(timeout=0.1, events=events) is True done, not_done = EventAwaiter.separate_done_events(events) assert len(done) >= 1 assert len(not_done) <= 1 EventAwaiter.cancel_all_events(events) def test_events_true_any_one(): connection = ThreadedMolerConnection() events = list() patterns = ("aaa", "bbb") for pattern in patterns: event = Wait4prompt(connection=connection, till_occurs_times=1, prompt=pattern) event.start() events.append(event) connection.data_received(patterns[0], datetime.datetime.now()) assert EventAwaiter.wait_for_any(timeout=0.1, events=events) is True done, not_done = EventAwaiter.separate_done_events(events) assert 1 == len(done) assert 1 == len(not_done) EventAwaiter.cancel_all_events(events) def test_events_false_any(): connection = ThreadedMolerConnection() events = list() patterns = ("aaa", "bbb") for pattern in patterns: event = Wait4prompt(connection=connection, till_occurs_times=1, prompt=pattern) event.start() events.append(event) assert EventAwaiter.wait_for_any(timeout=0.1, events=events) is False done, not_done = EventAwaiter.separate_done_events(events) assert 0 == len(done) assert 2 == len(not_done) EventAwaiter.cancel_all_events(events)
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c153983acd49b3114ec16122dc8ee7a153b61795
7,932
py
Python
a10rest/tests/py/p.py
THS-on/AttestationEngine
6746d602215df43056b04515bd9b831f0bb0ddbb
[ "BSD-3-Clause-Clear" ]
7
2021-10-20T05:22:47.000Z
2022-01-31T14:46:14.000Z
a10rest/tests/py/p.py
THS-on/AttestationEngine
6746d602215df43056b04515bd9b831f0bb0ddbb
[ "BSD-3-Clause-Clear" ]
15
2021-11-21T23:27:36.000Z
2022-03-25T11:35:07.000Z
a10rest/tests/py/p.py
THS-on/AttestationEngine
6746d602215df43056b04515bd9b831f0bb0ddbb
[ "BSD-3-Clause-Clear" ]
5
2021-12-08T20:55:34.000Z
2022-03-29T11:41:33.000Z
# Copyright 2021 Nokia # Licensed under the BSD 3-Clause License. # SPDX-License-Identifier: BSD-3-Clause import requests import threading def test(): r = requests.get("http://192.168.1.82:8520/") print(r, r.text) # e={'itemid':'bebc3af9-5050-45ee-9b54-656a68de56ed'} # r = requests.get('http://192.168.1.82:8520/element',params=e) # print(r,r.text) e = { "eid": "bebc3af9-5050-45ee-9b54-656a68de56ed", "pid": "fc34db2d-2a26-4eda-b1d4-3064821d2e27", "aps": {}, } r = requests.put("http://192.168.1.82:8520/attest", json=e) c = r.text print(r, c) e = {"cid": c, "rule": ("tpm2rules.TPM2QuoteStandardVerify", {})} r = requests.put("http://192.168.1.82:8520/verify", json=e) c = r.text print(r, c) def attest_and_verify(eid, pid, aps, rule): cp = {"eid": eid, "pid": pid, "aps": aps} r = requests.put("http://192.168.1.82:8520/attest", json=cp) c = r.text rp = {"cid": c, "rule": rule} r = requests.put("http://192.168.1.82:8520/verify", json=rp) v = r.text return v print("SEQUENTIAL TEST") db = [ ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ] for e in db: print(attest_and_verify(e[0], e[1], e[2], e[3])) x = input("?") print("PARALLEL TEST") tdb = [ ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "fc34db2d-2a26-4eda-b1d4-3064821d2e27", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ( "bebc3af9-5050-45ee-9b54-656a68de56ed", "df3b50a5-1ea4-41b1-b949-d92a65dd454c", {}, ("tpm2rules.TPM2QuoteStandardVerify", {}), ), ] for e in tdb: print(e) t = threading.Thread(target=attest_and_verify, args=(e[0], e[1], e[2], e[3],)) t.start() print("PARALLEL TEST COMPLETE")
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c16e7bd03c82097256ba9705fd9f43a9b7224266
39
py
Python
libs/myAppLib/Individuals.py
uahservtel/uah-gist-mutraff-basic-env
e3c487f4e10beacbdb208ff6a59a9dec366d9bab
[ "MIT" ]
null
null
null
libs/myAppLib/Individuals.py
uahservtel/uah-gist-mutraff-basic-env
e3c487f4e10beacbdb208ff6a59a9dec366d9bab
[ "MIT" ]
null
null
null
libs/myAppLib/Individuals.py
uahservtel/uah-gist-mutraff-basic-env
e3c487f4e10beacbdb208ff6a59a9dec366d9bab
[ "MIT" ]
null
null
null
def getName(): return "Pepe Sanchez"
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4,874
py
Python
statistical_tests.py
tomeberle/Business-analytics
5051d5a5f096fa451cc5e201f08b4681335c68ae
[ "MIT" ]
null
null
null
statistical_tests.py
tomeberle/Business-analytics
5051d5a5f096fa451cc5e201f08b4681335c68ae
[ "MIT" ]
null
null
null
statistical_tests.py
tomeberle/Business-analytics
5051d5a5f096fa451cc5e201f08b4681335c68ae
[ "MIT" ]
null
null
null
import pandas as pd from scipy.stats import chi2_contingency def contingency_table_company(tweets_df1): import matplotlib.pyplot as plt import seaborn as sns # Contingency Table tweets_df1 = pd.read_csv("output/twitter_sentiment_companies.csv") tweets_df1.dropna(subset=["Movement"], inplace=True) tweets_df1.loc[(tweets_df1.Sentiment > 0),'Sentiment']= 1 tweets_df1.loc[(tweets_df1.Sentiment < 0),'Sentiment']= -1 tweets_df1['Sentiment'] = tweets_df1['Sentiment'].replace([0, 1, -1],['neutral','positive','negative']) tweets_df1['Movement'] = tweets_df1['Movement'].astype(int) tweets_df1['Movement'] = tweets_df1['Movement'].replace([0, 1, -1],['no_move','up','down']) contingency = pd.crosstab(tweets_df1['Sentiment'], tweets_df1['Movement']) plt.figure(figsize=(12,8)) sns.heatmap(contingency, annot=True, cmap="YlGnBu", fmt='d') def contingency_table_ceo(tweets_df1): import matplotlib.pyplot as plt import seaborn as sns # Contingency Table tweets_df1 = pd.read_csv("output/twitter_sentiment_ceos.csv") tweets_df1.dropna(subset=["Movement"], inplace=True) tweets_df1.loc[(tweets_df1.Sentiment > 0),'Sentiment']= 1 tweets_df1.loc[(tweets_df1.Sentiment < 0),'Sentiment']= -1 tweets_df1['Sentiment'] = tweets_df1['Sentiment'].replace([0, 1, -1],['neutral','positive','negative']) tweets_df1['Movement'] = tweets_df1['Movement'].astype(int) tweets_df1['Movement'] = tweets_df1['Movement'].replace([0, 1, -1],['no_move','up','down']) contingency = pd.crosstab(tweets_df1['Sentiment'], tweets_df1['Movement']) plt.figure(figsize=(12,8)) sns.heatmap(contingency, annot=True, cmap="YlGnBu", fmt='d') def run_chisquared_company(tweets_df1): tweets_df1 = pd.read_csv("output/twitter_sentiment_companies.csv") tweets_df1.dropna(subset=["Movement"], inplace=True) tweets_df1.loc[(tweets_df1.Sentiment > 0),'Sentiment']= 1 tweets_df1.loc[(tweets_df1.Sentiment < 0),'Sentiment']= -1 tweets_df1['Sentiment'] = tweets_df1['Sentiment'].replace([0, 1, -1],['neutral','positive','negative']) tweets_df1['Movement'] = tweets_df1['Movement'].astype(int) tweets_df1['Movement'] = tweets_df1['Movement'].replace([0, 1, -1],['no_move','up','down']) print(tweets_df1) # Contingency Table contingency = pd.crosstab(tweets_df1['Sentiment'], tweets_df1['Movement']) # Chi-Squared Test chi2, p, dof, expected = chi2_contingency(contingency) return chi2, p def run_gtest_company(tweets_df1): tweets_df1 = pd.read_csv("output/twitter_sentiment_companies.csv") tweets_df1.dropna(subset=["Movement"], inplace=True) tweets_df1.loc[(tweets_df1.Sentiment > 0),'Sentiment']= 1 tweets_df1.loc[(tweets_df1.Sentiment < 0),'Sentiment']= -1 tweets_df1['Sentiment'] = tweets_df1['Sentiment'].replace([0, 1, -1],['neutral','positive','negative']) tweets_df1['Movement'] = tweets_df1['Movement'].astype(int) tweets_df1['Movement'] = tweets_df1['Movement'].replace([0, 1, -1],['no_move','up','down']) # Contingency Table contingency = pd.crosstab(tweets_df1['Sentiment'], tweets_df1['Movement']) # G-Test or log-likelihood ratio g, p, dof, expcted = chi2_contingency(contingency, lambda_="log-likelihood") return g, p def run_chisquared_ceo(tweets_df1): tweets_df1 = pd.read_csv("output/twitter_sentiment_ceos.csv") tweets_df1.dropna(subset=["Movement"], inplace=True) tweets_df1.loc[(tweets_df1.Sentiment > 0),'Sentiment']= 1 tweets_df1.loc[(tweets_df1.Sentiment < 0),'Sentiment']= -1 tweets_df1['Sentiment'] = tweets_df1['Sentiment'].replace([0, 1, -1],['neutral','positive','negative']) tweets_df1['Movement'] = tweets_df1['Movement'].astype(int) tweets_df1['Movement'] = tweets_df1['Movement'].replace([0, 1, -1],['no_move','up','down']) # Contingency Table contingency = pd.crosstab(tweets_df1['Sentiment'], tweets_df1['Movement']) # Chi-Squared Test chi2, p, dof, expected = chi2_contingency(contingency) return chi2, p def run_gtest_ceo(tweets_df1): tweets_df1 = pd.read_csv("output/twitter_sentiment_ceos.csv") tweets_df1.dropna(subset=["Movement"], inplace=True) tweets_df1.loc[(tweets_df1.Sentiment > 0),'Sentiment']= 1 tweets_df1.loc[(tweets_df1.Sentiment < 0),'Sentiment']= -1 tweets_df1['Sentiment'] = tweets_df1['Sentiment'].replace([0, 1, -1],['neutral','positive','negative']) tweets_df1['Movement'] = tweets_df1['Movement'].astype(int) tweets_df1['Movement'] = tweets_df1['Movement'].replace([0, 1, -1],['no_move','up','down']) # Contingency Table contingency = pd.crosstab(tweets_df1['Sentiment'], tweets_df1['Movement']) # G-Test or log-likelihood ratio g, p, dof, expcted = chi2_contingency(contingency, lambda_="log-likelihood") return g, p
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c1b9a84d04642fb74424f88131ce7fdfd2f231ef
12,006
py
Python
__init__.py
hotcouscous1/TensorBricks
94dd90dce43a455d9abd7ccf19e1e7f361da7824
[ "BSD-3-Clause" ]
null
null
null
__init__.py
hotcouscous1/TensorBricks
94dd90dce43a455d9abd7ccf19e1e7f361da7824
[ "BSD-3-Clause" ]
null
null
null
__init__.py
hotcouscous1/TensorBricks
94dd90dce43a455d9abd7ccf19e1e7f361da7824
[ "BSD-3-Clause" ]
null
null
null
import os import numpy as np import math from typing import List, Tuple import itertools from collections import OrderedDict import torch from torch import nn import torch.nn.functional as F from torch.hub import load_state_dict_from_url device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') if torch.cuda.is_available(): print("You are on " + str(torch.cuda.get_device_name(device))) else: print("You are on " + str(device).upper()) Numpy = np.array Tensor = torch.Tensor checkpoints = { 'efficientnet_b0': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b0.pth', 'efficientnet_b0_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b0_backbone.pth', 'efficientnet_b1': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b1.pth', 'efficientnet_b1_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b1_backbone.pth', 'efficientnet_b2': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b2.pth', 'efficientnet_b2_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b2_backbone.pth', 'efficientnet_b3': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b3.pth', 'efficientnet_b3_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b3_backbone.pth', 'efficientnet_b4': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b4.pth', 'efficientnet_b4_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b4_backbone.pth', 'efficientnet_b5': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b5.pth', 'efficientnet_b5_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b5_backbone.pth', 'efficientnet_b6': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b6.pth', 'efficientnet_b6_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b6_backbone.pth', 'efficientnet_b7': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b7.pth', 'efficientnet_b7_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/efficientnet_b7_backbone.pth', 'mnasnet': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mnasnet.pth', 'mnasnet_05': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mnasnet_05.pth', 'mnasnet_05_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mnasnet_05_backbone.pth', 'mnasnet_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mnasnet_backbone.pth', 'mobilenet_v2': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v2.pth', 'mobilenet_v2_035': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v2_035.pth', 'mobilenet_v2_035_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v2_035_backbone.pth', 'mobilenet_v2_05': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v2_05.pth', 'mobilenet_v2_05_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v2_05_backbone.pth', 'mobilenet_v2_075': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v2_075.pth', 'mobilenet_v2_075_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v2_075_backbone.pth', 'mobilenet_v2_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v2_backbone.pth', 'mobilenet_v3_large': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v3_large.pth', 'mobilenet_v3_large_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v3_large_backbone.pth', 'mobilenet_v3_small': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v3_small.pth', 'mobilenet_v3_small_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/mobilenet_v3_small_backbone.pth', 'res2net_101_26w_4s': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_101_26w_4s.pth', 'res2net_101_26w_4s_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_101_26w_4s_backbone.pth', 'res2net_101_v1b_26w_4s': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_101_v1b_26w_4s.pth', 'res2net_101_v1b_26w_4s_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_101_v1b_26w_4s_backbone.pth', 'res2net_50_14w_8s': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_50_14w_8s.pth', 'res2net_50_14w_8s_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_50_14w_8s_backbone.pth', 'res2net_50_26w_4s': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_50_26w_4s.pth', 'res2net_50_26w_4s_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_50_26w_4s_backbone.pth', 'res2net_50_26w_8s': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_50_26w_8s.pth', 'res2net_50_26w_8s_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_50_26w_8s_backbone.pth', 'res2net_50_v1b_26w_4s': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_50_v1b_26w_4s.pth', 'res2net_50_v1b_26w_4s_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2net_50_v1b_26w_4s_backbone.pth', 'res2next_50': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2next_50.pth', 'res2next_50_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/res2next_50_backbone.pth', 'resnet_101': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_101.pth', 'resnet_101_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_101_backbone.pth', 'resnet_152': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_152.pth', 'resnet_152_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_152_backbone.pth', 'resnet_18': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_18.pth', 'resnet_18_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_18_backbone.pth', 'resnet_34': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_34.pth', 'resnet_34_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_34_backbone.pth', 'resnet_50': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_50.pth', 'resnet_50_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnet_50_backbone.pth', 'resnext_101_32x8d': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnext_101_32x8d.pth', 'resnext_101_32x8d_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnext_101_32x8d_backbone.pth', 'resnext_50_32x4d': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnext_50_32x4d.pth', 'resnext_50_32x4d_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/resnext_50_32x4d_backbone.pth', 'rexnet': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet.pth', 'rexnet_13': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_13.pth', 'rexnet_13_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_13_backbone.pth', 'rexnet_15': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_15.pth', 'rexnet_15_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_15_backbone.pth', 'rexnet_2': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_2.pth', 'rexnet_2_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_2_backbone.pth', 'rexnet_3': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_3.pth', 'rexnet_3_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_3_backbone.pth', 'rexnet_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/rexnet_backbone.pth', 'ssd_300': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/ssd_300.pth', 'ssd_512': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/ssd_512.pth', 'vgg_11': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/vgg_11.pth', 'vgg_11_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/vgg_11_backbone.pth', 'vgg_13': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/vgg_13.pth', 'vgg_13_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/vgg_13_backbone.pth', 'vgg_16': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/vgg_16.pth', 'vgg_16_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/vgg_16_backbone.pth', 'vgg_19': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/vgg_19.pth', 'vgg_19_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/vgg_19_backbone.pth', 'yolo_v3': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v3.pth', 'yolo_v3_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v3_backbone.pth', 'yolo_v4': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4.pth', 'yolo_v4_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_backbone.pth', 'yolo_v4_csp': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_csp.pth', 'yolo_v4_csp_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_csp_backbone.pth', 'yolo_v4_large_p5': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_large_p5.pth', 'yolo_v4_large_p5_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_large_p5_backbone.pth', 'yolo_v4_large_p6': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_large_p6.pth', 'yolo_v4_large_p6_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_large_p6_backbone.pth', 'yolo_v4_tiny': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_tiny.pth', 'yolo_v4_tiny_backbone': 'https://github.com/hotcouscous1/TensorBricks/releases/download/checkpoints/yolo_v4_tiny_backbone.pth', }
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68,596
py
Python
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_heteroFair/cmp_h264ref/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_heteroFair/cmp_h264ref/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_heteroFair/cmp_h264ref/power.py
TugberkArkose/MLScheduler
e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061
[ "Unlicense" ]
null
null
null
power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 7.36858e-05, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202746, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.000485767, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.667099, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.15517, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.662525, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.4848, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.659326, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 6.19513, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 9.17718e-05, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0241829, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.174897, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.178847, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.174989, 'Execution Unit/Register Files/Runtime Dynamic': 0.20303, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.422643, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.32928, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 4.62523, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.0026161, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.0026161, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00227126, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000875219, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00256915, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.0100726, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0253458, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.17193, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.468439, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.583952, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.25974, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0307801, 'L2/Runtime Dynamic': 0.0103324, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 7.59012, 'Load Store Unit/Data Cache/Runtime Dynamic': 3.06503, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.205535, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.205535, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 8.56465, 'Load Store Unit/Runtime Dynamic': 4.2842, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.506814, 'Load Store Unit/StoreQ/Runtime Dynamic': 1.01363, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.17987, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.180292, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0769127, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.869454, 'Memory Management Unit/Runtime Dynamic': 0.257204, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 29.1905, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000319788, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.0341156, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.360888, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.395323, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 10.832, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 4.72345e-05, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202725, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.000303604, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.356166, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.574483, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.28998, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.22063, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.407304, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 4.62065, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 5.73574e-05, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0149392, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.108045, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.110485, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.108102, 'Execution Unit/Register Files/Runtime Dynamic': 0.125424, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.227633, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.713813, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 2.66797, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00174425, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00174425, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00154018, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000607684, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00158712, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00661581, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0159755, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.106212, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.293314, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.360743, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96396, 'Instruction Fetch Unit/Runtime Dynamic': 0.782859, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0194157, 'L2/Runtime Dynamic': 0.00623886, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 5.13345, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.8796, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.126056, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.126056, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 5.72871, 'Load Store Unit/Runtime Dynamic': 2.62732, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store 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0.0481593, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.745606, 'Memory Management Unit/Runtime Dynamic': 0.158741, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 23.6678, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000151421, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free 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0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 4.81792e-05, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202726, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.000316255, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution 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Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00153752, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch 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0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.291332, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.359847, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96396, 'Instruction Fetch Unit/Runtime Dynamic': 0.779621, 'Instruction 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'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0478369, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.744761, 'Memory Management Unit/Runtime Dynamic': 0.157922, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 23.6447, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000156874, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885, 'Renaming Unit/Free List/Area': 0.0340654, 'Renaming Unit/Free List/Gate Leakage': 2.5481e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0306032, 'Renaming Unit/Free List/Runtime Dynamic': 0.0160312, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064, 'Renaming Unit/Gate Leakage': 0.00708398, 'Renaming Unit/Int Front End RAT/Area': 0.0941223, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.187532, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.20372, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming 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0.569152, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.287289, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.2093, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution 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Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.00059307, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00157239, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch 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0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.105226, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.287104, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.357395, 'Instruction Fetch Unit/Instruction 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Management Unit/Dtlb/Peak Dynamic': 0.109799, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.110061, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00808595, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0471406, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.74472, 'Memory Management Unit/Runtime Dynamic': 0.157201, 'Memory Management Unit/Subthreshold Leakage': 0.0766103, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333, 'Peak Dynamic': 23.6382, 'Renaming Unit/Area': 0.303608, 'Renaming Unit/FP Front End RAT/Area': 0.131045, 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0.00435488, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.202383, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 6.40332, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}], 'DRAM': {'Area': 0, 'Gate Leakage': 0, 'Peak Dynamic': 1.4801546544967428, 'Runtime Dynamic': 1.4801546544967428, 'Subthreshold Leakage': 4.252, 'Subthreshold Leakage with power gating': 4.252}, 'L3': [{'Area': 61.9075, 'Gate Leakage': 0.0484137, 'Peak Dynamic': 0.115042, 'Runtime Dynamic': 0.070799, 'Subthreshold Leakage': 6.80085, 'Subthreshold Leakage with power gating': 3.32364}], 'Processor': {'Area': 191.908, 'Gate Leakage': 1.53485, 'Peak Dynamic': 100.256, 'Peak Power': 133.368, 'Runtime Dynamic': 30.179, 'Subthreshold Leakage': 31.5774, 'Subthreshold Leakage with power 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a9a960628a0471a585d925454655776700f4ec08
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py
Python
pytorch_grad_cam/utils/__init__.py
binfnstats/pytorch-grad-cam
a3d5c27a4fc2b78faef5729e0953770969bb8ecd
[ "MIT" ]
1
2022-03-22T02:00:55.000Z
2022-03-22T02:00:55.000Z
pytorch_grad_cam/utils/__init__.py
binfnstats/pytorch-grad-cam
a3d5c27a4fc2b78faef5729e0953770969bb8ecd
[ "MIT" ]
null
null
null
pytorch_grad_cam/utils/__init__.py
binfnstats/pytorch-grad-cam
a3d5c27a4fc2b78faef5729e0953770969bb8ecd
[ "MIT" ]
null
null
null
from pytorch_grad_cam.utils.image import deprocess_image from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection from pytorch_grad_cam.utils import model_targets from pytorch_grad_cam.utils import reshape_transforms
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a9b09c6ba4a4374226b49baa7a0494247cf33a3c
269
py
Python
app/admin/__init__.py
Anioko/frontcms
3a39c57881ae4d97b3aa65d033e30719aca648ac
[ "MIT" ]
1
2020-06-26T05:03:48.000Z
2020-06-26T05:03:48.000Z
app/admin/__init__.py
Anioko/frontcms
3a39c57881ae4d97b3aa65d033e30719aca648ac
[ "MIT" ]
1
2021-06-02T02:15:07.000Z
2021-06-02T02:15:07.000Z
app/admin/__init__.py
Anioko/frontcms
3a39c57881ae4d97b3aa65d033e30719aca648ac
[ "MIT" ]
null
null
null
from app.admin.views import admin # noqa from app.admin.users import admin # noqa from app.admin.contact import admin # noqa from app.admin.payment import admin # noqa from app.admin.pricingplan import admin # noqa from app.admin.subscription import admin # noqa
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a9c5e7029477dda40bd65eb1f566fcc57baac2c8
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py
Python
LinkerPort.py
JDJGInc/JDJGBotSupreme
fd8a5679f05cb90ebec8dbfc297445f9773ebe5f
[ "MIT" ]
4
2020-07-10T04:02:23.000Z
2021-02-13T16:38:54.000Z
LinkerPort.py
JDJGInc/JDJGBotSupreme
fd8a5679f05cb90ebec8dbfc297445f9773ebe5f
[ "MIT" ]
3
2021-07-13T15:38:39.000Z
2022-02-15T15:17:17.000Z
LinkerPort.py
johndpope/JDJGBotSupreme
64fde0e169811e1866eb29174ac5dd8e052d830a
[ "MIT" ]
2
2020-08-01T11:15:09.000Z
2022-02-15T11:46:22.000Z
linker_data={"from":"634254029437796352","to":"678433031945715723"},{"from":"678433031945715723","to":"634254029437796352"},{"from":"683782736686874828","to":"634254029437796352"},{"from":"634254029437796352","to":"683782736686874828"},{"from":"683784835260612637","to":"683782736686874828"},{"from":"491419169842135059","to":"442422051781869570"},{"from":"692576207404793949","to":"556242984241201167"},{"from":"695701417012232203","to":"556242984241201167"},{"from":"699645979955167322","to":"665970533434916884"},{"from":"701242967796482099","to":"671186063787687936"},{"from":"665968813271023616","to":"702686177236353044"},{"from":"665963914349248545","to":"702686177236353044"},{"from":"702732967495204952","to":"678433031945715723"},{"from":"678433031945715723","to":"702732967495204952"},{"from":"702732967344078957","to":"702732966916390997"},{"from":"684507818128179204","to":"556242984241201167"},{"from":"701869561971998801","to":"706581572572282981"} recolor_data = {"from":"634254029437796352","to":"678433031945715723"},{"from":"678433031945715723","to":"634254029437796352"},{"from":"683782736686874828","to":"634254029437796352"},{"from":"634254029437796352","to":"683782736686874828"},{"from":"683784835260612637","to":"683782736686874828"},{"from":"491419169842135059","to":"442422051781869570"},{"from":"701869561971998801","to":"701868740400119870"},{"from":"701868740400119870","to":"701869561971998801"},{"from":"665970398747426828","to":"665970533434916884"},{"from":"665967760131489792","to":"665970533434916884"},{"from":"661846142480547893","to":"702203063083073647"},{"from":"706581572572282981","to":"701869561971998801"},{"from":"701869561971998801","to":"706581572572282981"},{"from":"701869561971998801","to":"706581572572282981"},{"from":"701869561971998801","to":"706581572572282981"} rodimus_data = {"from":"634254029437796352","to":"678433031945715723"},{"from":"678433031945715723","to":"634254029437796352"},{"from":"683782736686874828","to":"634254029437796352"},{"from":"634254029437796352","to":"683782736686874828"},{"from":"683784835260612637","to":"683782736686874828"},{"from":"491419169842135059","to":"442422051781869570"},{"from":"678433031945715723","to":"702732967495204952"},{"from":"678433031945715723","to":"702732967495204952"},{"from":"678433031945715723","to":"702732967495204952"},{"from":"702749296423993434","to":"702732967495204952"},{"from":"702732967495204952","to":"702749296423993434"} unknown_data = 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{"from":"634254029437796352","to":"678433031945715723"},{"from":"678433031945715723","to":"634254029437796352"},{"from":"683782736686874828","to":"634254029437796352"},{"from":"634254029437796352","to":"683782736686874828"},{"from":"683784835260612637","to":"683782736686874828"},{"from":"491419169842135059","to":"442422051781869570"},{"from":"701332238629076992","to":"701332312574394380"},{"from":"701333056304316468","to":"701332238629076992"},{"from":"696290332718923826","to":"696280167680835614"},{"from":"442731610249494528","to":"556242984241201167"},{"from":"689172884677066884","to":"556242984241201167"},{"from":"442730003025887233","to":"556242984241201167"},{"from":"442728489360162816","to":"556242984241201167"},{"from":"442728489360162816","to":"556242984241201167"},{"from":"442726672240869387","to":"556242984241201167"},{"from":"702158850165440532","to":"702159254831759461"},{"from":"702159254831759461","to":"702158850165440532"} jdjg_bot_linker ={"from":"634254029437796352","to":"678433031945715723"},{"from":"678433031945715723","to":"634254029437796352"},{"from":"683782736686874828","to":"634254029437796352"},{"from":"634254029437796352","to":"683782736686874828"},{"from":"683784835260612637","to":"683782736686874828"},{"from":"491419169842135059","to":"442422051781869570"},{"from":"678433031945715723","to":"702732967495204952"},{"from":"678433031945715723","to":"702732967495204952"},{"from":"678433031945715723","to":"702732967495204952"},{"from":"702749296423993434","to":"702732967495204952"},{"from":"702732967495204952","to":"702749296423993434"},{"from":"704077150935842967","to":"704086646236250153"} import DatabaseConfig def exists(src=0,dest=0): a = "1" if(src != 556242984241201167) and (dest!=556242984241201167): return 1 if(src!=0): a = DatabaseConfig.find_one({"src":src}) if(dest!=0): a = DatabaseConfig.find_one({"dest":dest}) try: b = int(a) return 0 except: return 1 def send_doc(doc): src = int(doc["from"]) dest = int(doc["to"]) if not exists(src): DatabaseConfig.db.ChannelLink.insert_one({"src":src,"dest":dest}) def port(): for x in linker_data: send_doc(x) for x in recolor_data: send_doc(x) for x in rodimus_data: send_doc(x)
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py
Python
asposediagramcloud/apis/diagram_api.py
aspose-diagram-cloud/aspose-diagram-cloud-python
58254fccb833fb7e3a0453407e21b55edb96b81c
[ "MIT" ]
3
2019-12-10T08:42:21.000Z
2022-02-04T19:14:02.000Z
asposediagramcloud/apis/diagram_api.py
aspose-diagram-cloud/aspose-diagram-cloud-python
58254fccb833fb7e3a0453407e21b55edb96b81c
[ "MIT" ]
null
null
null
asposediagramcloud/apis/diagram_api.py
aspose-diagram-cloud/aspose-diagram-cloud-python
58254fccb833fb7e3a0453407e21b55edb96b81c
[ "MIT" ]
null
null
null
# coding: utf-8 """ Aspose.Diagram Cloud API Reference No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: 3.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient from asposediagramcloud.apis.o_auth_api import OAuthApi class DiagramApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, grant_type, appsid, appkey, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client self.access_token = self.get_access_token( grant_type, appsid, appkey) self.api_client.set_default_header( "Authorization", "Bearer " + self.access_token) def get_access_token(self, grant_type, appsid, appkey): authApiClient = ApiClient('https://api.aspose.cloud') client = OAuthApi(authApiClient) auth_data = client.o_auth_post(grant_type, appsid, appkey) return auth_data.access_token def convert_document(self, name, file, **kwargs): """ Converts document from the request's content to the specified format. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.convert_document(name, file, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Download document name. (required) :param file file: File to upload (required) :param str source_filename: Source document name. :return: file If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.convert_document_with_http_info(name, file, **kwargs) else: (data) = self.convert_document_with_http_info(name, file, **kwargs) return data def convert_document_with_http_info(self, name, file, **kwargs): """ Converts document from the request's content to the specified format. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.convert_document_with_http_info(name, file, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Download document name. (required) :param file file: File to upload (required) :param str source_filename: Source document name. :return: file If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'file', 'source_filename'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method convert_document" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError( "Missing the required parameter `name` when calling `convert_document`") # verify the required parameter 'file' is set if ('file' not in params) or (params['file'] is None): raise ValueError( "Missing the required parameter `file` when calling `convert_document`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] query_params = [] if 'source_filename' in params: query_params.append(('sourceFilename', params['source_filename'])) header_params = {} form_params = [] local_var_files = {} if 'file' in params: local_var_files['File'] = params['file'] body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['multipart/form-data']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['multipart/form-data']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/convert', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='file', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get( '_return_http_data_only'), _preload_content=params.get( '_preload_content', True), _request_timeout=params.get( '_request_timeout'), collection_formats=collection_formats) def create_new(self, name, **kwargs): """ Create Empty file into the specified format. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_new(name, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: The document name. (required) :param str folder: The document folder. :param bool is_overwrite: If true overwrite the same name file.The default value is false :return: CreateNewResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.create_new_with_http_info(name, **kwargs) else: (data) = self.create_new_with_http_info(name, **kwargs) return data def create_new_with_http_info(self, name, **kwargs): """ Create Empty file into the specified format. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_new_with_http_info(name, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: The document name. (required) :param str folder: The document folder. :param bool is_overwrite: If true overwrite the same name file.The default value is false :return: CreateNewResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'folder', 'is_overwrite'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_new" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError( "Missing the required parameter `name` when calling `create_new`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] query_params = [] if 'folder' in params: query_params.append(('folder', params['folder'])) if 'is_overwrite' in params: query_params.append(('IsOverwrite', params['is_overwrite'])) header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CreateNewResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get( '_return_http_data_only'), _preload_content=params.get( '_preload_content', True), _request_timeout=params.get( '_request_timeout'), collection_formats=collection_formats) def download_file_with_format(self, name, format, **kwargs): """ Exports the document into the specified format. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.download_file_with_format(name, format, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: The document name. (required) :param str format: The destination format. (required) :param str folder: Original document folder. :return: file If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.download_file_with_format_with_http_info(name, format, **kwargs) else: (data) = self.download_file_with_format_with_http_info( name, format, **kwargs) return data def download_file_with_format_with_http_info(self, name, format, **kwargs): """ Exports the document into the specified format. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.download_file_with_format_with_http_info(name, format, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: The document name. (required) :param str format: The destination format. (required) :param str folder: Original document folder. :return: file If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'format', 'folder'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method download_file_with_format" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError( "Missing the required parameter `name` when calling `download_file_with_format`") # verify the required parameter 'format' is set if ('format' not in params) or (params['format'] is None): raise ValueError( "Missing the required parameter `format` when calling `download_file_with_format`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] query_params = [] if 'format' in params: query_params.append(('format', params['format'])) if 'folder' in params: query_params.append(('folder', params['folder'])) header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['multipart/form-data']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='file', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get( '_return_http_data_only'), _preload_content=params.get( '_preload_content', True), _request_timeout=params.get( '_request_timeout'), collection_formats=collection_formats) def save_as(self, name, save_options_request, **kwargs): """ Converts document to destination format with detailed settings and saves result to storage. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.save_as(name, save_options_request, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Original document name. (required) :param SaveOptionsRequest save_options_request: Save options. (required) :param str folder: Original document folder. :param bool is_overwrite: If true overwrite the same name file.The default value is false :return: SaveAsResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.save_as_with_http_info(name, save_options_request, **kwargs) else: (data) = self.save_as_with_http_info( name, save_options_request, **kwargs) return data def save_as_with_http_info(self, name, save_options_request, **kwargs): """ Converts document to destination format with detailed settings and saves result to storage. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.save_as_with_http_info(name, save_options_request, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Original document name. (required) :param SaveOptionsRequest save_options_request: Save options. (required) :param str folder: Original document folder. :param bool is_overwrite: If true overwrite the same name file.The default value is false :return: SaveAsResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'save_options_request', 'folder', 'is_overwrite'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method save_as" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError( "Missing the required parameter `name` when calling `save_as`") # verify the required parameter 'save_options_request' is set if ('save_options_request' not in params) or (params['save_options_request'] is None): raise ValueError( "Missing the required parameter `save_options_request` when calling `save_as`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] query_params = [] if 'folder' in params: query_params.append(('folder', params['folder'])) if 'is_overwrite' in params: query_params.append(('IsOverwrite', params['is_overwrite'])) header_params = {} form_params = [] local_var_files = {} body_params = None if 'save_options_request' in params: body_params = params['save_options_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/saveAs', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SaveAsResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get( '_return_http_data_only'), _preload_content=params.get( '_preload_content', True), _request_timeout=params.get( '_request_timeout'), collection_formats=collection_formats) def put_draw_ellipse(self, name, page_name, ellipse_data, **kwargs): """ draw ellipse on the page. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_draw_ellipse(name, page_name, ellipse_data, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: Page name. (required) :param EllipseData ellipse_data: drawing ellipse data. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.put_draw_ellipse_with_http_info(name, page_name, ellipse_data, **kwargs) else: (data) = self.put_draw_ellipse_with_http_info( name, page_name, ellipse_data, **kwargs) return data def put_draw_ellipse_with_http_info(self, name, page_name, ellipse_data, **kwargs): """ draw ellipse on the page. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_draw_ellipse_with_http_info(name, page_name, ellipse_data, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: Page name. (required) :param EllipseData ellipse_data: drawing ellipse data. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'page_name', 'ellipse_data', 'folder'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_draw_ellipse" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError( "Missing the required parameter `name` when calling `put_draw_ellipse`") # verify the required parameter 'page_name' is set if ('page_name' not in params) or (params['page_name'] is None): raise ValueError( "Missing the required parameter `page_name` when calling `put_draw_ellipse`") # verify the required parameter 'ellipse_data' is set if ('ellipse_data' not in params) or (params['ellipse_data'] is None): raise ValueError( "Missing the required parameter `ellipse_data` when calling `put_draw_ellipse`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'page_name' in params: path_params['pageName'] = params['page_name'] query_params = [] if 'folder' in params: query_params.append(('folder', params['folder'])) header_params = {} form_params = [] local_var_files = {} body_params = None if 'ellipse_data' in params: body_params = params['ellipse_data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/pages/{pageName}/drawEllipse', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ModifyResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get( '_return_http_data_only'), _preload_content=params.get( '_preload_content', True), _request_timeout=params.get( '_request_timeout'), collection_formats=collection_formats) def put_draw_line(self, name, page_name, line_data, **kwargs): """ draw line on the page. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_draw_line(name, page_name, line_data, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: Page name. (required) :param LineData line_data: drawing line data. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.put_draw_line_with_http_info(name, page_name, line_data, **kwargs) else: (data) = self.put_draw_line_with_http_info( name, page_name, line_data, **kwargs) return data def put_draw_line_with_http_info(self, name, page_name, line_data, **kwargs): """ draw line on the page. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_draw_line_with_http_info(name, page_name, line_data, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: Page name. (required) :param LineData line_data: drawing line data. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'page_name', 'line_data', 'folder'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_draw_line" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError( "Missing the required parameter `name` when calling `put_draw_line`") # verify the required parameter 'page_name' is set if ('page_name' not in params) or (params['page_name'] is None): raise ValueError( "Missing the required parameter `page_name` when calling `put_draw_line`") # verify the required parameter 'line_data' is set if ('line_data' not in params) or (params['line_data'] is None): raise ValueError( "Missing the required parameter `line_data` when calling `put_draw_line`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'page_name' in params: path_params['pageName'] = params['page_name'] query_params = [] if 'folder' in params: query_params.append(('folder', params['folder'])) header_params = {} form_params = [] local_var_files = {} body_params = None if 'line_data' in params: body_params = params['line_data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/pages/{pageName}/drawLine', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ModifyResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get( '_return_http_data_only'), _preload_content=params.get( '_preload_content', True), _request_timeout=params.get( '_request_timeout'), collection_formats=collection_formats) def put_draw_polyline(self, name, page_name, polyline_data, **kwargs): """ draw polyline on the page. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_draw_polyline(name, page_name, polyline_data, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: Page name. (required) :param PolylineData polyline_data: drawing polyline data. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.put_draw_polyline_with_http_info(name, page_name, polyline_data, **kwargs) else: (data) = self.put_draw_polyline_with_http_info( name, page_name, polyline_data, **kwargs) return data def put_draw_polyline_with_http_info(self, name, page_name, polyline_data, **kwargs): """ draw polyline on the page. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_draw_polyline_with_http_info(name, page_name, polyline_data, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: Page name. (required) :param PolylineData polyline_data: drawing polyline data. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'page_name', 'polyline_data', 'folder'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_draw_polyline" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError( "Missing the required parameter `name` when calling `put_draw_polyline`") # verify the required parameter 'page_name' is set if ('page_name' not in params) or (params['page_name'] is None): raise ValueError( "Missing the required parameter `page_name` when calling `put_draw_polyline`") # verify the required parameter 'polyline_data' is set if ('polyline_data' not in params) or (params['polyline_data'] is None): raise ValueError( "Missing the required parameter `polyline_data` when calling `put_draw_polyline`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'page_name' in params: path_params['pageName'] = params['page_name'] query_params = [] if 'folder' in params: query_params.append(('folder', params['folder'])) header_params = {} form_params = [] local_var_files = {} body_params = None if 'polyline_data' in params: body_params = params['polyline_data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/pages/{pageName}/drawPolyline', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ModifyResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get( '_return_http_data_only'), _preload_content=params.get( '_preload_content', True), _request_timeout=params.get( '_request_timeout'), collection_formats=collection_formats) def delete_page(self, name, page_name, **kwargs): """ Remove Page This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_page(name, page_name, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: The page name for delete. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_page_with_http_info(name, page_name, **kwargs) else: (data) = self.delete_page_with_http_info(name, page_name, **kwargs) return data def delete_page_with_http_info(self, name, page_name, **kwargs): """ Remove Page This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_page_with_http_info(name, page_name, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: The page name for delete. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'page_name', 'folder'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_page" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_page`") # verify the required parameter 'page_name' is set if ('page_name' not in params) or (params['page_name'] is None): raise ValueError("Missing the required parameter `page_name` when calling `delete_page`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'page_name' in params: path_params['pageName'] = params['page_name'] query_params = [] if 'folder' in params: query_params.append(('folder', params['folder'])) header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/pages/{pageName}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ModifyResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_pages(self, name, **kwargs): """ Read pages info. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_pages(name, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str folder: Document folder. :return: ApiResponseOfListOfPageData If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_pages_with_http_info(name, **kwargs) else: (data) = self.get_pages_with_http_info(name, **kwargs) return data def get_pages_with_http_info(self, name, **kwargs): """ Read pages info. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_pages_with_http_info(name, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str folder: Document folder. :return: ApiResponseOfListOfPageData If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'folder'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_pages" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `get_pages`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] query_params = [] if 'folder' in params: query_params.append(('folder', params['folder'])) header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/pages', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiResponseOfListOfPageData', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_page_setup(self, name, page_name, page_setting, **kwargs): """ page setup This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_page_setup(name, page_name, page_setting, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: The page name for setting. (required) :param PageSetting page_setting: Page setting info. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.post_page_setup_with_http_info(name, page_name, page_setting, **kwargs) else: (data) = self.post_page_setup_with_http_info(name, page_name, page_setting, **kwargs) return data def post_page_setup_with_http_info(self, name, page_name, page_setting, **kwargs): """ page setup This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.post_page_setup_with_http_info(name, page_name, page_setting, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: The page name for setting. (required) :param PageSetting page_setting: Page setting info. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'page_name', 'page_setting', 'folder'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_page_setup" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `post_page_setup`") # verify the required parameter 'page_name' is set if ('page_name' not in params) or (params['page_name'] is None): raise ValueError("Missing the required parameter `page_name` when calling `post_page_setup`") # verify the required parameter 'page_setting' is set if ('page_setting' not in params) or (params['page_setting'] is None): raise ValueError("Missing the required parameter `page_setting` when calling `post_page_setup`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] query_params = [] if 'page_name' in params: query_params.append(('pageName', params['page_name'])) if 'folder' in params: query_params.append(('folder', params['folder'])) header_params = {} form_params = [] local_var_files = {} body_params = None if 'page_setting' in params: body_params = params['page_setting'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/pages/PageSetup', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ModifyResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def put_new_page(self, name, page_name, **kwargs): """ Add new empty page This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_new_page(name, page_name, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: New page name. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.put_new_page_with_http_info(name, page_name, **kwargs) else: (data) = self.put_new_page_with_http_info(name, page_name, **kwargs) return data def put_new_page_with_http_info(self, name, page_name, **kwargs): """ Add new empty page This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_new_page_with_http_info(name, page_name, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: Document name. (required) :param str page_name: New page name. (required) :param str folder: Document folder. :return: ModifyResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'page_name', 'folder'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_new_page" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `put_new_page`") # verify the required parameter 'page_name' is set if ('page_name' not in params) or (params['page_name'] is None): raise ValueError("Missing the required parameter `page_name` when calling `put_new_page`") collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] query_params = [] if 'page_name' in params: query_params.append(('pageName', params['page_name'])) if 'folder' in params: query_params.append(('folder', params['folder'])) header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['JWT'] return self.api_client.call_api('/diagram/{name}/pages/addNew', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ModifyResponse', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)
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8
e70f9bbed9260e8c8ef78bb6a403000fc8a0e163
128
py
Python
python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_1/_pkg1_1_1_0/_pkg1_1_1_0_0/_mod1_1_1_0_0_1.py
truthiswill/intellij-community
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
[ "Apache-2.0" ]
2
2019-04-28T07:48:50.000Z
2020-12-11T14:18:08.000Z
python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_1/_pkg1_1_1_0/_pkg1_1_1_0_0/_mod1_1_1_0_0_1.py
truthiswill/intellij-community
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
[ "Apache-2.0" ]
173
2018-07-05T13:59:39.000Z
2018-08-09T01:12:03.000Z
python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_1/_pkg1_1_1/_pkg1_1_1_0/_pkg1_1_1_0_0/_mod1_1_1_0_0_1.py
truthiswill/intellij-community
fff88cfb0dc168eea18ecb745d3e5b93f57b0b95
[ "Apache-2.0" ]
2
2020-03-15T08:57:37.000Z
2020-04-07T04:48:14.000Z
name1_1_1_0_0_1_0 = None name1_1_1_0_0_1_1 = None name1_1_1_0_0_1_2 = None name1_1_1_0_0_1_3 = None name1_1_1_0_0_1_4 = None
14.222222
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128
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9
e790c0de7a99525b42d229f1329256dc93e766a1
98
py
Python
app/blueprints/blog/__init__.py
Anioko/landingpage_cms
b2d68d28287dd163de7d420b2c20b19050a2326a
[ "MIT" ]
null
null
null
app/blueprints/blog/__init__.py
Anioko/landingpage_cms
b2d68d28287dd163de7d420b2c20b19050a2326a
[ "MIT" ]
null
null
null
app/blueprints/blog/__init__.py
Anioko/landingpage_cms
b2d68d28287dd163de7d420b2c20b19050a2326a
[ "MIT" ]
null
null
null
from app.blueprints.blog.views import blog # noqa from app.blueprints.blog import errors # noqa
32.666667
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0.181818
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8
99b8de2b66a5ee664320b8a4c3cd9b7e01bf35e7
240
py
Python
variableorderings/__init__.py
bornobob/ModelChecking
f49d7077e32d3a699d199289349c88ff18206382
[ "MIT" ]
2
2020-02-19T21:07:10.000Z
2020-02-19T21:39:56.000Z
variableorderings/__init__.py
bornobob/ModelChecking
f49d7077e32d3a699d199289349c88ff18206382
[ "MIT" ]
9
2020-02-26T13:16:21.000Z
2020-04-01T09:55:40.000Z
variableorderings/__init__.py
bornobob/ModelChecking
f49d7077e32d3a699d199289349c88ff18206382
[ "MIT" ]
null
null
null
from variableorderings.manualordering import ManualOrdering from variableorderings.randomordering import RandomOrdering from variableorderings.bfsordering import BFSOrdering from variableorderings.subtreecomplexity import SubTreeComplexity
48
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0.916667
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240
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240
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7
99ed6c5cf63d4e6f749f38e89c848cc9ad5e870a
123
py
Python
newsletter/context_processors.py
Will-Hoey/giant-newsletter
cae054e864e66c5d117c4ca434b39596ffadb4e3
[ "MIT" ]
2
2020-06-18T08:15:11.000Z
2020-11-17T09:54:59.000Z
newsletter/context_processors.py
Will-Hoey/giant-newsletter
cae054e864e66c5d117c4ca434b39596ffadb4e3
[ "MIT" ]
null
null
null
newsletter/context_processors.py
Will-Hoey/giant-newsletter
cae054e864e66c5d117c4ca434b39596ffadb4e3
[ "MIT" ]
null
null
null
from .forms import SubscriptionForm def subscription_form(request): return {"subscription_form": SubscriptionForm()}
20.5
52
0.788618
12
123
7.916667
0.75
0.336842
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123
5
53
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7
820741afa9cde16e6228c5e1b138fd5be7483003
6,439
py
Python
small_lab_gui/digitizers/digitizer_fast_mcs6a.py
marcus-o/small_lab_gui_examples
ca1eb2f19c15593b702df9f6520f27d881c2e8c8
[ "MIT" ]
null
null
null
small_lab_gui/digitizers/digitizer_fast_mcs6a.py
marcus-o/small_lab_gui_examples
ca1eb2f19c15593b702df9f6520f27d881c2e8c8
[ "MIT" ]
null
null
null
small_lab_gui/digitizers/digitizer_fast_mcs6a.py
marcus-o/small_lab_gui_examples
ca1eb2f19c15593b702df9f6520f27d881c2e8c8
[ "MIT" ]
null
null
null
from small_lab_gui.digitizers.digitizer import digitizer import numpy as np import time from threading import Event from small_lab_gui.company_dll.fast_mcs6a_wrapper import mcs6aDll class mcs6a(digitizer): def __init__(self, path=''): self.num_sensors = 4 self.dll = mcs6aDll(path) self.nDev = 0 self.range = 8192 self.stop_event = Event() def setup(self, integration, timepreset=0): self.dll.Halt(self.nDev) # LSB first # 0x0 = 0000 is for normal mode # 0x8 = 0001 for start event generation # 0x2 = 0100 is tag bits off and start with rising edge # 0x8 = 0001 is enable start events that go to channel 4 # 0x0 = 0000 is enable all channels # 0x0 = 0000 is enable all channels # 0x00 not important self.dll.RunCmd(self.nDev, 'sweepmode=00000280') # 0x10 = 00001000 is to enable start preset, # sweep preset is 0x04 = 00100000, 0x1 is real time preset # self.dll.RunCmd(self.nDev, 'prena=10') self.dll.RunCmd(self.nDev, 'prena=4') self.dll.RunCmd(self.nDev, 'range=' + str(int(self.range))) # self.dll.RunCmd(self.nDev, 'roimin=1') # self.dll.RunCmd(self.nDev, 'roimax=8192') self.integration = integration if timepreset: self.dll.RunCmd( self.nDev, 'rtpreset=' + str(int(self.integration))) else: self.dll.RunCmd( self.nDev, 'swpreset=' + str(int(self.integration))) def frame(self, stop_event=Event(), inp=None, init_output=None): self.stop_event.clear() # let eventual readout finish while ((self.dll.GetStatusData(self.nDev)['Status'].started == 3) and (not stop_event.is_set()) and (not self.stop_event.is_set())): time.sleep(0.001) # stop measurement if running if (self.dll.GetStatusData(self.nDev)['Status'].started and (not stop_event.is_set()) and (not self.stop_event.is_set())): self.dll.Halt(self.nDev) while (self.dll.GetStatusData(self.nDev)['Status'].started and (not stop_event.is_set()) and (not self.stop_event.is_set())): time.sleep(0.001) # start acq self.dll.Start(self.nDev) # wait until acq starts while ((not self.dll.GetStatusData(self.nDev)['Status'].started) and (not stop_event.is_set()) and (not self.stop_event.is_set())): time.sleep(0.001) # wait until acq finishes while (self.dll.GetStatusData(self.nDev)['Status'].started and (not stop_event.is_set()) and (not self.stop_event.is_set())): time.sleep(0.001) # status such as last sweeps count and scan length stat = self.dll.GetStatusData(self.nDev)['Status'] # data array data = np.zeros((self.num_sensors, self.range)) for cnt in range(self.num_sensors): intermediate = self.dll.LVGetDat(cnt)['data'] if data[cnt, :].size == intermediate.size: data[cnt, :] = intermediate return {'data': data, 'sweeps': stat.cnt[self.dll.ST_SWEEPS], 'starts': stat.cnt[self.dll.ST_STARTS], 'runtime': stat.cnt[self.dll.ST_RUNTIME], 'ofls': stat.cnt[self.dll.ST_OFLS], 'totalsum': stat.cnt[self.dll.ST_TOTALSUM], 'roisum': stat.cnt[self.dll.ST_ROISUM], 'roirate': stat.cnt[self.dll.ST_ROIRATE], 'source': 'fast_mcs6a', 'success': True} def start_continuous(self): self.stop_event.clear() while ((self.dll.GetStatusData(self.nDev)['Status'].started == 3) and (not self.stop_event.is_set())): time.sleep(0.001) if (self.dll.GetStatusData(self.nDev)['Status'].started and (not self.stop_event.is_set())): self.dll.Halt(self.nDev) while (self.dll.GetStatusData(self.nDev)['Status'].started and (not self.stop_event.is_set())): time.sleep(0.001) if not self.stop_event.is_set(): # start acq # LSB first # 0x0 = 0000 is for normal mode # 0x8 = 0001 for start event generation # 0x2 = 0100 is tag bits off and start with rising edge # 0x8 = 0001 is enable start events that go to channel 4 # 0x0 = 0000 is enable all channels # 0x0 = 0000 is enable all channels # 0x00 not important self.dll.RunCmd(self.nDev, 'sweepmode=00000280') # 0x10 = 00001000 is to enable start preset, # sweep preset is 0x04 = 00100000, # 0x1 is real time preset, 0x0 is endless self.dll.RunCmd(self.nDev, 'prena=0') self.dll.RunCmd(self.nDev, 'range=' + str(int(self.range))) self.dll.Start(self.nDev) while ((not self.dll.GetStatusData(self.nDev)['Status'].started) and (not self.stop_event.is_set())): time.sleep(0.1) def readout_continuous(self, stop_event=Event(), inp=None, init_output=None): # status such as last sweeps count and scan length stat = self.dll.GetStatusData(self.nDev)['Status'] # data array data = np.zeros((self.num_sensors, self.range)) for cnt in range(self.num_sensors): intermediate = self.dll.LVGetDat(cnt)['data'] if data[cnt, :].size == intermediate.size: data[cnt, :] = intermediate # data = self.dll.LVGetDat(0)['data'] return {'data': data, 'sweeps': stat.cnt[self.dll.ST_SWEEPS], 'starts': stat.cnt[self.dll.ST_STARTS], 'runtime': stat.cnt[self.dll.ST_RUNTIME], 'ofls': stat.cnt[self.dll.ST_OFLS], 'totalsum': stat.cnt[self.dll.ST_TOTALSUM], 'roisum': stat.cnt[self.dll.ST_ROISUM], 'roirate': stat.cnt[self.dll.ST_ROIRATE], 'source': 'fast_mcs6a', 'success': True} def stop(self): self.stop_event.set() self.dll.Halt(self.nDev) def close(self): print('closing mcs6a')
42.926667
76
0.565616
812
6,439
4.396552
0.17734
0.090196
0.058263
0.058824
0.807283
0.771148
0.737255
0.737255
0.737255
0.715406
0
0.044655
0.311384
6,439
149
77
43.214765
0.760487
0.180463
0
0.714286
0
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0.058958
0
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0.066667
false
0
0.047619
0
0.142857
0.009524
0
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null
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7
8246fcb01cd001ce23554906aee2699cc3320482
216,154
py
Python
pymatflow/vasp/opt.py
DeqiTang/pymatflow
bd8776feb40ecef0e6704ee898d9f42ded3b0186
[ "MIT" ]
6
2020-03-06T16:13:08.000Z
2022-03-09T07:53:34.000Z
pymatflow/vasp/opt.py
DeqiTang/pymatflow
bd8776feb40ecef0e6704ee898d9f42ded3b0186
[ "MIT" ]
1
2021-10-02T02:23:08.000Z
2021-11-08T13:29:37.000Z
pymatflow/vasp/opt.py
DeqiTang/pymatflow
bd8776feb40ecef0e6704ee898d9f42ded3b0186
[ "MIT" ]
1
2021-07-10T16:28:14.000Z
2021-07-10T16:28:14.000Z
#!/usr/bin/env python # _*_ coding: utf-8 _*_ import os import numpy as np import sys import shutil from pymatflow.remote.server import server_handle from pymatflow.vasp.vasp import Vasp """ usage: """ class OptRun(Vasp): """ """ def __init__(self): super().__init__() self.incar.set_runtype(runtype="opt") self.batch_a = None self.batch_b = None self.batch_c = None def optimize(self, directory="tmp-vasp-optimization", runopt="gen", auto=0): """ directory: a place for all the generated files """ if runopt == "gen" or runopt == "genrun": if os.path.exists(directory): shutil.rmtree(directory) os.mkdir(directory) shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR")) os.system("cp %s %s/" % (self.poscar.xyz.file, directory)) with open(os.path.join(directory, "INCAR"), 'w') as fout: self.incar.to_incar(fout) with open(os.path.join(directory, "POSCAR"), 'w') as fout: self.poscar.to_poscar(fout) # gen slurm script self.gen_llhpc(directory=directory, cmd="$PMF_VASP_STD", scriptname="optimization.slurm") # gen pbs script self.gen_pbs(directory=directory, cmd="$PMF_VASP_STD", scriptname="optimization.pbs", jobname=self.run_params["jobname"], nodes=self.run_params["nodes"], ppn=self.run_params["ppn"], queue=self.run_params["queue"]) # gen local bash script self.gen_bash(directory=directory, cmd="$PMF_VASP_STD", scriptname="optimization.sh") # gen lsf_sz script self.gen_lsf_sz(directory=directory, cmd="$PMF_VASP_STD", scriptname="optimization.lsf_sz", np=self.run_params["nodes"]*self.run_params["ppn"], np_per_node=self.run_params["ppn"], queue=self.run_params["queue"]) # gen lsf_sustc script self.gen_lsf_sustc(directory=directory, cmd="$PMF_VASP_STD", scriptname="optimization.lsf_sustc", jobname=self.run_params["jobname"], np=self.run_params["nodes"]*self.run_params["ppn"], np_per_node=self.run_params["ppn"], queue=self.run_params["queue"]) # gen cd_cdcloud script self.gen_cdcloud(directory=directory, cmd="$PMF_VASP_STD", scriptname="optimization.slurm_cd") if runopt == "run" or runopt == "genrun": os.chdir(directory) #os.system("vasp") os.system("bash optimization.sh") os.chdir("../") server_handle(auto=auto, directory=directory, jobfilebase="optimization", server=self.run_params["server"]) # def cubic(self, directory="tmp-vasp-opt-cubic", runopt="gen", auto=0, range_a=[-0.1, 0.1, 0.01]): """ """ na = len(np.arange(range_a[0], range_a[1], range_a[2])) if self.batch_a == None: # namely all in one batch self.batch_a = na else: pass if na % self.batch_a == 0: n_batch_a = int(na / self.batch_a) else: n_batch_a = int(na / self.batch_a) + 1 # if os.path.exists(directory): shutil.rmtree(directory) os.mkdir(directory) shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR")) os.system("cp %s %s/" % (self.poscar.xyz.file, directory)) with open(os.path.join(directory, "KPOINTS"), "w") as fout: self.kpoints.to_kpoints(fout) with open(os.path.join(directory, "POSCAR"), 'w') as fout: self.poscar.to_poscar(fout=fout, coordtype="Direct") os.chdir(directory) for i_batch_a in range(n_batch_a): # gen llhpc script with open("opt-cubic-batch-%d.slurm" % (i_batch_a), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#SBATCH -p %s\n" % self.run_params["partition"]) fout.write("#SBATCH -N %d\n" % self.run_params["nodes"]) fout.write("#SBATCH -n %d\n" % self.run_params["ntask"]) fout.write("#SBATCH -J %s-%d\n" % (self.run_params["jobname"], i_batch_a)) fout.write("#SBATCH -o %s\n" % self.run_params["stdout"]) fout.write("#SBATCH -e %s\n" % self.run_params["stderr"]) fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" yhrun $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") # gen pbs script with open("opt-cubic-batch-%d.pbs" % (i_batch_a), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#PBS -N %s-%d\n" % (self.run_params["jobname"], i_batch_a)) fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"])) if "queue" in self.run_params and self.run_params["queue"] != None: fout.write("#PBS -q %s\n" %self.run_params["queue"]) fout.write("\n") fout.write("cd $PBS_O_WORKDIR\n") fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") #fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPMI_FABRICS shm:tmi $PMF_VASP_STD\n") fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") # gen local bash script with open("opt-cubic-batch-%d.sh" % (i_batch_a), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" %s $PMF_VASP_STD\n" % self.run_params["mpi"]) fout.write(" cd ../\n") fout.write("done\n") # gen lsf_sz script with open("opt-cubic-batch-%d.lsf_sz" % (i_batch_a), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("APP_NAME=%s\n" % self.run_params["queue"]) fout.write("NP=%d\n" % (self.run_params["nodes"]*self.run_params["ppn"])) fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"]) fout.write("RUN=\"RAW\"\n") fout.write("CURDIR=$PWD\n") fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n") fout.write("source /home-yg/env/intel-12.1.sh\n") fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n") fout.write("cd $CURDIR\n") fout.write("# starting creating ./nodelist\n") fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n") fout.write("for i in `echo $LSB_HOSTS`\n") fout.write("do\n") fout.write(" echo \"$i\" >> $CURDIR/nodelist \n") fout.write("done\n") fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") # gen lsf_sustc script with open("opt-cubic-batch-%d.lsf_sustc" % (i_batch_a), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#BSUB -J %s\n" % self.run_params["jobname"]) fout.write("#BSUB -e %J.err\n") fout.write("#BSUB -o %J.out\n") fout.write("#BSUB -q %s\n" % self.run_params["queue"]) fout.write("#BSUB -n %s\n" % (self.run_params["nodes"] * self.run_params["ppn"])) #number of total cores fout.write("#BSUB -R \"span[ptile=%d]\"\n" % self.run_params["ppn"]) fout.write("hostfile=`echo $LSB_DJOB_HOSTFILE`\n") fout.write("NP=`cat $hostfile | wc -l`\n") fout.write("cd $LS_SUBCWD\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" mpirun -machinefile $LSB_DJOB_HOSTFILE -np $NP $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") # gen cdcloud script with open("opt-cubic-batch-%d.slurm_cd" % (i_batch_a), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#SBATCH -p %s\n" % self.run_params["partition"]) fout.write("#SBATCH -N %d\n" % self.run_params["nodes"]) fout.write("#SBATCH -n %d\n" % self.run_params["ntask"]) fout.write("#SBATCH -J %s-%d\n" % (self.run_params["jobname"], i_batch_a)) fout.write("#SBATCH -o %s\n" % self.run_params["stdout"]) fout.write("#SBATCH -e %s\n" % self.run_params["stderr"]) fout.write("#\n") fout.write("export I_MPI_PMI_LIBRARY=/opt/gridview/slurm/lib/libpmi.so\n") fout.write("export FORT_BUFFERED=1\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" srun --mpi=pmix_v3 $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") # generate result analysis script os.system("mkdir -p post-processing") with open("post-processing/get_energy.sh", 'w') as fout: fout.write("#!/bin/bash\n") # the comment fout.write("cat > energy-latconst.data <<EOF\n") fout.write("# format: a energy(eV)\n") fout.write("EOF\n") # end fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a[0], range_a[2], a+range_a[1])) fout.write("do\n") fout.write(" energy=`cat ../relax-${a}/OUTCAR | grep 'energy without entropy=' | tail -1`\n") fout.write(" cat >> energy-latconst.data <<EOF\n") #fout.write("${a} ${energy:27:-36}\n") fout.write("${a} ${energy:27:17}\n") fout.write("EOF\n") fout.write("done\n") fout.write("cat > energy-latconst.gp<<EOF\n") fout.write("set term gif\n") fout.write("set output 'energy-latconst.gif'\n") fout.write("set title 'Energy Latconst'\n") fout.write("set xlabel 'latconst(a)'\n") fout.write("set ylabel 'Energy'\n") fout.write("plot 'energy-latconst.data' w l\n") fout.write("EOF\n") fout.write("\n") fout.write("gnuplot energy-latconst.gp") #os.system("cd post-processing; bash get_energy.sh; cd ../") os.chdir("../") if runopt == "run" or runopt == "genrun": os.chdir(directory) for i_batch_a in range(n_batch_a): os.system("bash opt-cubic-batch-%d.sh" % (i_batch_a)) os.chdir("../") for i_batch_a in range(n_batch_a): server_handle(auto=auto, directory=directory, jobfilebase="opt-cubic-batch-%d" % (i_batch_a), server=self.run_params["server"]) def hexagonal(self, directory="tmp-vasp-opt-hexagonal", runopt="gen", auto=0, range_a=[-0.1, 0.1, 0.01], range_c=[-0.1, 0.1, 0.01]): """ """ na = len(np.arange(range_a[0], range_a[1], range_a[2])) nc = len(np.arange(range_c[0], range_c[1], range_c[2])) if self.batch_a == None: # namely all in one batch self.batch_a = na else: pass if self.batch_c == None: # namely all in one batch self.batch_c = nc else: pass if na % self.batch_a == 0: n_batch_a = int(na / self.batch_a) else: n_batch_a = int(na / self.batch_a) + 1 if nc % self.batch_c == 0: n_batch_c = int(nc / self.batch_c) else: n_batch_c = int(nc / self.batch_c) + 1 # if os.path.exists(directory): shutil.rmtree(directory) os.mkdir(directory) shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR")) os.system("cp %s %s/" % (self.poscar.xyz.file, directory)) with open(os.path.join(directory, "KPOINTS"), "w") as fout: self.kpoints.to_kpoints(fout) with open(os.path.join(directory, "POSCAR"), 'w') as fout: self.poscar.to_poscar(fout=fout, coordtype="Direct") os.chdir(directory) for i_batch_a in range(n_batch_a): for i_batch_c in range(n_batch_c): # gen llhpc script with open("opt-hexagonal-%d-%d.slurm" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#SBATCH -p %s\n" % self.run_params["partition"]) fout.write("#SBATCH -N %d\n" % self.run_params["nodes"]) fout.write("#SBATCH -n %d\n" % self.run_params["ntask"]) fout.write("#SBATCH -J %s-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_c)) fout.write("#SBATCH -o %s\n" % self.run_params["stdout"]) fout.write("#SBATCH -e %s\n" % self.run_params["stderr"]) fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") # here with the usage of length and scale in bs processing, we can make sure that number like '.123' will be correctly # set as '0.123', namely the ommited 0 by bs by default is not ommited now! fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write(" yhrun $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" yhrun $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write(" yhrun $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen pbs script with open("opt-hexagonal-%d-%d.pbs" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#PBS -N %s-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_c)) fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"])) if "queue" in self.run_params and self.run_params["queue"] != None: fout.write("#PBS -q %s\n" %self.run_params["queue"]) fout.write("\n") fout.write("cd $PBS_O_WORKDIR\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") # here with the usage of length and scale in bs processing, we can make sure that number like '.123' will be correctly # set as '0.123', namely the ommited 0 by bs by default is not ommited now! fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") #fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPMI_FABRICS shm:tmi $PMF_VASP_STD\n") fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") #fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPMI_FABRICS shm:tmi $PMF_VASP_STD\n") fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") #fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPMI_FABRICS shm:tmi $PMF_VASP_STD\n") fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen local bash script with open("opt-hexagonal-%d-%d.sh" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") # here with the usage of length and scale in bs processing, we can make sure that number like '.123' will be correctly # set as '0.123', namely the ommited 0 by bs by default is not ommited now! fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write(" %s $PMF_VASP_STD\n" % self.run_params["mpi"]) fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" %s $PMF_VASP_STD\n" % self.run_params["mpi"]) fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write(" %s $PMF_VASP_STD\n" % self.run_params["mpi"]) fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen lsf_sz script with open("opt-hexagonal-%d-%d.lsf_sz" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("APP_NAME=%s\n" % self.run_params["queue"]) fout.write("NP=%d\n" % (self.run_params["nodes"]*self.run_params["ppn"])) fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"]) fout.write("RUN=\"RAW\"\n") fout.write("CURDIR=$PWD\n") fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n") fout.write("source /home-yg/env/intel-12.1.sh\n") fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n") fout.write("cd $CURDIR\n") fout.write("# starting creating ./nodelist\n") fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n") fout.write("for i in `echo $LSB_HOSTS`\n") fout.write("do\n") fout.write(" echo \"$i\" >> $CURDIR/nodelist \n") fout.write("done\n") fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") # here with the usage of length and scale in bs processing, we can make sure that number like '.123' will be correctly # set as '0.123', namely the ommited 0 by bs by default is not ommited now! fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write(" mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write(" mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen lsf_sustc script with open("opt-hexagonal-%d-%d.lsf_sustc" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#BSUB -J %s\n" % self.run_params["jobname"]) fout.write("#BSUB -e %J.err\n") fout.write("#BSUB -o %J.out\n") fout.write("#BSUB -q %s\n" % self.run_params["queue"]) fout.write("#BSUB -n %s\n" % (self.run_params["nodes"] * self.run_params["ppn"])) #number of total cores fout.write("#BSUB -R \"span[ptile=%d]\"\n" % self.run_params["ppn"]) fout.write("hostfile=`echo $LSB_DJOB_HOSTFILE`\n") fout.write("NP=`cat $hostfile | wc -l`\n") fout.write("cd $LS_SUBCWD\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") # here with the usage of length and scale in bs processing, we can make sure that number like '.123' will be correctly # set as '0.123', namely the ommited 0 by bs by default is not ommited now! fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write(" mpirun -machinefile $LSB_DJOB_HOSTFILE -np $NP $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" mpirun -machinefile $LSB_DJOB_HOSTFILE -np $NP $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write(" mpirun -machinefile $LSB_DJOB_HOSTFILE -np $NP $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen cdcloud script with open("opt-hexagonal-%d-%d.slurm_cd" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#SBATCH -p %s\n" % self.run_params["partition"]) fout.write("#SBATCH -N %d\n" % self.run_params["nodes"]) fout.write("#SBATCH -n %d\n" % self.run_params["ntask"]) fout.write("#SBATCH -J %s-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_c)) fout.write("#SBATCH -o %s\n" % self.run_params["stdout"]) fout.write("#SBATCH -e %s\n" % self.run_params["stderr"]) fout.write("#\n") fout.write("export I_MPI_PMI_LIBRARY=/opt/gridview/slurm/lib/libpmi.so\n") fout.write("export FORT_BUFFERED=1\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") # here with the usage of length and scale in bs processing, we can make sure that number like '.123' will be correctly # set as '0.123', namely the ommited 0 by bs by default is not ommited now! fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write(" srun --mpi=pmix_v3 $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" srun --mpi=pmix_v3 $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write(" srun --mpi=pmix_v3 $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # generate result analysis script os.system("mkdir -p post-processing") with open("post-processing/get_energy.sh", 'w') as fout: fout.write("#!/bin/bash\n") # the comment if na >= 2 and nc >= 2: fout.write("cat > energy-latconst.data <<EOF\n") fout.write("# format: a c energy(eV)\n") fout.write("EOF\n") if na >= 2 and nc < 2: fout.write("cat > energy-latconst.data <<EOF\n") fout.write("# format: a energy(eV)\n") fout.write("EOF\n") if na < 2 and nc >= 2: fout.write("cat > energy-latconst.data <<EOF\n") fout.write("# format: c energy(eV)\n") fout.write("EOF\n") # end if na >= 2: fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a[0], range_a[2], a+range_a[1])) fout.write("do\n") if nc >= 2: fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c[0], range_c[2], c+range_c[1])) fout.write("do\n") fout.write(" energy=`cat ../relax-${a}-${c}/OUTCAR | grep 'energy without entropy=' | tail -1`\n") fout.write(" cat >> energy-latconst.data <<EOF\n") #fout.write("${a} ${c} ${energy:27:-36}\n") fout.write("${a} ${c} ${energy:27:17}\n") fout.write("EOF\n") fout.write("done\n") fout.write("done\n") fout.write("cat > energy-latconst.gp<<EOF\n") fout.write("set term gif\n") fout.write("set output 'energy-latconst.gif'\n") fout.write("set title 'Energy Latconst'\n") fout.write("set xlabel 'latconst(a)'\n") fout.write("set ylabel 'latconst(c)'\n") fout.write("set zlabel 'Energy'\n") fout.write("splot 'energy-latconst.data'\n") fout.write("EOF\n") fout.write("\n") fout.write("gnuplot energy-latconst.gp") else: fout.write(" energy=`cat ../relax-${a}/OUTCAR | grep 'energy without entropy=' | tail -1`\n") fout.write(" cat >> energy-latconst.data <<EOF\n") #fout.write("${a} ${energy:27:-36}\n") fout.write("${a} ${energy:27:17}\n") fout.write("EOF\n") fout.write("done\n") fout.write("cat > energy-latconst.gp<<EOF\n") fout.write("set term gif\n") fout.write("set output 'energy-latconst.gif'\n") fout.write("set title 'Energy Latconst'\n") fout.write("set xlabel 'latconst(a)'\n") fout.write("set ylabel 'Energy'\n") fout.write("plot 'energy-latconst.data' w l\n") fout.write("EOF\n") fout.write("\n") fout.write("gnuplot energy-latconst.gp") else: if nc >= 2: fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c[0], range_c[2], c+range_c[1])) fout.write("do\n") fout.write(" energy=`cat ../relax-${c}/OUTCAR | grep 'energy without entropy=' | tail -1`\n") fout.write(" cat >> energy-latconst.data <<EOF\n") #fout.write("${c} ${energy:27:-36}\n") fout.write("${c} ${energy:27:17}\n") fout.write("EOF\n") fout.write("done\n") fout.write("cat > energy-latconst.gp<<EOF\n") fout.write("set term gif\n") fout.write("set output 'energy-latconst.gif'\n") fout.write("set title 'Energy Latconst'\n") fout.write("set xlabel 'latconst(c)'\n") fout.write("set ylabel 'Energy'\n") fout.write("plot 'energy-latconst.data' w l\n") fout.write("EOF\n") fout.write("\n") fout.write("gnuplot energy-latconst.gp") else: # nothing to do pass os.chdir("../") if runopt == "run" or runopt == "genrun": os.chdir(directory) for i_batch_a in range(n_batch_a): for i_batch_c in range(n_batch_c): os.system("bash opt-hexagonal-%d-%d.sh" % (i_batch_a, i_batch_c)) os.chdir("../") for i_batch_a in range(n_batch_a): for i_batch_c in range(n_batch_c): server_handle(auto=auto, directory=directory, jobfilebase="opt-hexagonal-%d-%d" % (i_batch_a, i_batch_c), server=self.run_params["server"]) def tetragonal(self, directory="tmp-vasp-opt-tetragonal", runopt="gen", auto=0, range_a=[-0.1, 0.1, 0.01], range_c=[-0.1, 0.1, 0.01]): """ """ na = len(np.arange(range_a[0], range_a[1], range_a[2])) nc = len(np.arange(range_c[0], range_c[1], range_c[2])) if self.batch_a == None: # namely all in one batch self.batch_a = na else: pass if self.batch_c == None: # namely all in one batch self.batch_c = nc else: pass if na % self.batch_a == 0: n_batch_a = int(na / self.batch_a) else: n_batch_a = int(na / self.batch_a) + 1 if nc % self.batch_c == 0: n_batch_c = int(nc / self.batch_c) else: n_batch_c = int(nc / self.batch_c) + 1 # if os.path.exists(directory): shutil.rmtree(directory) os.mkdir(directory) shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR")) os.system("cp %s %s/" % (self.poscar.xyz.file, directory)) with open(os.path.join(directory, "KPOINTS"), 'w') as fout: self.kpoints.to_kpoints(fout) with open(os.path.join(directory, "POSCAR"), 'w') as fout: self.poscar.to_poscar(fout=fout, coordtype="Direct") os.chdir(directory) for i_batch_a in range(n_batch_a): for i_batch_c in range(n_batch_c): # gen llhpc script with open("opt-tetragonal-%d-%d.slurm" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#SBATCH -p %s\n" % self.run_params["partition"]) fout.write("#SBATCH -N %d\n" % self.run_params["nodes"]) fout.write("#SBATCH -n %d\n" % self.run_params["ntask"]) fout.write("#SBATCH -J %s-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_c)) fout.write("#SBATCH -o %s\n" % self.run_params["stdout"]) fout.write("#SBATCH -e %s\n" % self.run_params["stderr"]) fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") #a = self.poscar.xyz.cell[0][0] #c = self.poscar.xyz.cell[2][2] a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write(" yhrun $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" yhrun $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write(" yhrun $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen pbs script with open("opt-tetragonal-%d-%d.pbs" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#PBS -N %s-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_c)) fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"])) if "queue" in self.run_params and self.run_params["queue"] != None: fout.write("#PBS -q %s\n" %self.run_params["queue"]) fout.write("\n") fout.write("cd $PBS_O_WORKDIR\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") #fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPMI_FABRICS shm:tmi $PMF_VASP_STD\n") fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") #fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPMI_FABRICS shm:tmi $PMF_VASP_STD\n") fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") #fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE -genv I_MPMI_FABRICS shm:tmi $PMF_VASP_STD\n") fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen local bash script with open("opt-tetragonal-%d-%d.sh" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write(" %s $PMF_VASP_STD\n" % self.run_params["mpi"]) fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" %s $PMF_VASP_STD\n" % self.run_params["mpi"]) fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write(" %s $PMF_VASP_STD\n" % self.run_params["mpi"]) fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen lsf_sz script with open("opt-tetragonal-%d-%d.lsf_sz" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("APP_NAME=%s\n" % self.run_params["queue"]) fout.write("NP=%d\n" % (self.run_params["nodes"]*self.run_params["ppn"])) fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"]) fout.write("RUN=\"RAW\"\n") fout.write("CURDIR=$PWD\n") fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n") fout.write("source /home-yg/env/intel-12.1.sh\n") fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n") fout.write("cd $CURDIR\n") fout.write("# starting creating ./nodelist\n") fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n") fout.write("for i in `echo $LSB_HOSTS`\n") fout.write("do\n") fout.write(" echo \"$i\" >> $CURDIR/nodelist \n") fout.write("done\n") fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen lsf_sustc script with open("opt-tetragonal-%d-%d.lsf_sustc" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#BSUB -J %s\n" % self.run_params["jobname"]) fout.write("#BSUB -e %J.err\n") fout.write("#BSUB -o %J.out\n") fout.write("#BSUB -q %s\n" % self.run_params["queue"]) fout.write("#BSUB -n %s\n" % (self.run_params["nodes"] * self.run_params["ppn"])) #number of total cores fout.write("#BSUB -R \"span[ptile=%d]\"\n" % self.run_params["ppn"]) fout.write("hostfile=`echo $LSB_DJOB_HOSTFILE`\n") fout.write("NP=`cat $hostfile | wc -l`\n") fout.write("cd $LS_SUBCWD\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write("mpirun -machinefile $LSB_DJOB_HOSTFILE -np $NP $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write("mpirun -machinefile $LSB_DJOB_HOSTFILE -np $NP $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write("mpirun -machinefile $LSB_DJOB_HOSTFILE -np $NP $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # gen cdcloud script with open("opt-tetragonal-%d-%d.slurm_cd" % (i_batch_a, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#SBATCH -p %s\n" % self.run_params["partition"]) fout.write("#SBATCH -N %d\n" % self.run_params["nodes"]) fout.write("#SBATCH -n %d\n" % self.run_params["ntask"]) fout.write("#SBATCH -J %s-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_c)) fout.write("#SBATCH -o %s\n" % self.run_params["stdout"]) fout.write("#SBATCH -e %s\n" % self.run_params["stderr"]) fout.write("#\n") fout.write("export I_MPI_PMI_LIBRARY=/opt/gridview/slurm/lib/libpmi.so\n") fout.write("export FORT_BUFFERED=1\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") #a = self.poscar.xyz.cell[0][0] #c = self.poscar.xyz.cell[2][2] a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] if na >= 2: # a is optimized fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") if nc >= 2: # optimize both a and c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${c}/\n") fout.write(" srun --mpi=pmix_v3 $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # only optimize a fout.write(" mkdir relax-${a}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c_in} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}/POSCAR\n") fout.write(" cd relax-${a}/\n") fout.write(" srun --mpi=pmix_v3 $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # a is not optimized if nc >= 2: # only optimize c fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${a_in} / ${a_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${c}/POSCAR\n") fout.write(" cd relax-${c}/\n") fout.write(" srun --mpi=pmix_v3 $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") else: # neither a or c is optimized pass # generate result analysis script os.system("mkdir -p post-processing") with open("post-processing/get_energy.sh", 'w') as fout: fout.write("#!/bin/bash\n") # the comment if na >= 2 and nc >= 2: fout.write("cat > energy-latconst.data <<EOF\n") fout.write("# format: a c energy(eV)\n") fout.write("EOF\n") if na >= 2 and nc < 2: fout.write("cat > energy-latconst.data <<EOF\n") fout.write("# format: a energy(eV)\n") fout.write("EOF\n") if na < 2 and nc >= 2: fout.write("cat > energy-latconst.data <<EOF\n") fout.write("# format: c energy(eV)\n") fout.write("EOF\n") # end if na >= 2: fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a[0], range_a[2], a+range_a[1])) fout.write("do\n") if nc >= 2: fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c[0], range_c[2], c+range_c[1])) fout.write("do\n") fout.write(" energy=`cat ../relax-${a}-${c}/OUTCAR | grep 'energy without entropy=' | tail -1`\n") fout.write(" cat >> energy-latconst.data <<EOF\n") #fout.write("${a} ${c} ${energy:27:-36}\n") fout.write("${a} ${c} ${energy:27:17}\n") fout.write("EOF\n") fout.write("done\n") fout.write("done\n") fout.write("cat > energy-latconst.gp<<EOF\n") fout.write("set term gif\n") fout.write("set output 'energy-latconst.gif'\n") fout.write("set title 'Energy Latconst'\n") fout.write("set xlabel 'latconst(a)'\n") fout.write("set ylabel 'latconst(c)'\n") fout.write("set zlabel 'Energy'\n") fout.write("splot 'energy-latconst.data'\n") fout.write("EOF\n") fout.write("\n") fout.write("gnuplot energy-latconst.gp") else: fout.write(" energy=`cat ../relax-${a}/OUTCAR | grep 'energy without entropy=' | tail -1`\n") fout.write(" cat >> energy-latconst.data <<EOF\n") #fout.write("${a} ${energy:27:-36}\n") fout.write("${a} ${energy:27:17}\n") fout.write("EOF\n") fout.write("done\n") fout.write("cat > energy-latconst.gp<<EOF\n") fout.write("set term gif\n") fout.write("set output 'energy-latconst.gif'\n") fout.write("set title 'Energy Latconst'\n") fout.write("set xlabel 'latconst(a)'\n") fout.write("set ylabel 'Energy'\n") fout.write("plot 'energy-latconst.data' w l\n") fout.write("EOF\n") fout.write("\n") fout.write("gnuplot energy-latconst.gp") else: if nc >= 2: fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c[0], range_c[2], c+range_c[1])) fout.write("do\n") fout.write(" energy=`cat ../relax-${c}/OUTCAR | grep 'energy without entropy=' | tail -1`\n") fout.write(" cat >> energy-latconst.data <<EOF\n") #fout.write("${c} ${energy:27:-36}\n") fout.write("${c} ${energy:27:17}\n") fout.write("EOF\n") fout.write("done\n") fout.write("cat > energy-latconst.gp<<EOF\n") fout.write("set term gif\n") fout.write("set output 'energy-latconst.gif'\n") fout.write("set title 'Energy Latconst'\n") fout.write("set xlabel 'latconst(c)'\n") fout.write("set ylabel 'Energy'\n") fout.write("plot 'energy-latconst.data' w l\n") fout.write("EOF\n") fout.write("\n") fout.write("gnuplot energy-latconst.gp") else: # nothing to do pass #os.system("cd post-processing; bash get_energy.sh; cd ../") os.chdir("../") if runopt == "run" or runopt == "genrun": os.chdir(directory) for i_batch_a in range(n_batch_a): for i_batch_c in range(n_batch_c): os.system("bash opt-tetragonal-%d-%d.sh" % (i_batch_a, i_batch_c)) os.chdir("../") for i_batch_a in range(n_batch_a): for i_batch_c in range(n_batch_c): server_handle(auto=auto, directory=directory, jobfilebase="opt-tetragonal-%d-%d" % (i_batch_a, i_batch_c), server=self.run_params["server"]) def abc(self, directory="tmp-vasp-opt-abc", runopt="gen", auto=0, range_a=[-0.1, 0.1, 0.01], range_b=[-0.1, 0.1, 0.01], range_c=[-0.1, 0.1, 0.01]): """ """ na = len(np.arange(range_a[0], range_a[1], range_a[2])) nb = len(np.arange(range_b[0], range_b[1], range_b[2])) nc = len(np.arange(range_c[0], range_c[1], range_c[2])) if self.batch_a == None: # namely all in one batch self.batch_a = na else: pass if self.batch_b == None: # namely all in one batch self.batch_b = nb else: pass if self.batch_c == None: # namely all in one batch self.batch_c = nc else: pass if na % self.batch_a == 0: n_batch_a = int(na / self.batch_a) else: n_batch_a = int(na / self.batch_a) + 1 if nb % self.batch_b == 0: n_batch_b = int(nb / self.batch_b) else: n_batch_b = int(nb / self.batch_b) + 1 if nc % self.batch_c == 0: n_batch_c = int(nc / self.batch_c) else: n_batch_c = int(nc / self.batch_c) + 1 # if os.path.exists(directory): shutil.rmtree(directory) os.mkdir(directory) shutil.copyfile("POTCAR", os.path.join(directory, "POTCAR")) os.system("cp %s %s/" % (self.poscar.xyz.file, directory)) with open(os.path.join(directory, "KPOINTS"), 'w') as fout: self.kpoints.to_kpoints(fout) with open(os.path.join(directory, "POSCAR"), 'w') as fout: self.poscar.to_poscar(fout=fout, coordtype="Direct") os.chdir(directory) for i_batch_a in range(n_batch_a): for i_batch_b in range(n_batch_b): for i_batch_c in range(n_batch_c): range_a_start = range_a[0] + i_batch_a * self.batch_a * range_a[2] range_a_end = range_a[0] + (i_batch_a+1) * self.batch_a * range_a[2] - range_a[2] / 2 # - range_a[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_a_end > range_a[1]: range_a_end = range_a[1] range_b_start = range_b[0] + i_batch_b * self.batch_b * range_b[2] range_b_end = range_b[0] + (i_batch_b+1) * self.batch_b * range_b[2] - range_b[2] / 2 # - range_b[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_b_end > range_b[1]: range_b_end = range_b[1] range_c_start = range_c[0] + i_batch_c * self.batch_c * range_c[2] range_c_end = range_c[0] + (i_batch_c+1) * self.batch_c * range_c[2] - range_c[2] / 2 # - range_c[2] / 2, so that the last value is ignored which is actually the begining of next batch if range_c_end > range_c[1]: range_c_end = range_c[1] # gen llhpc script with open("opt-abc-%d-%d-%d.slurm" % (i_batch_a, i_batch_b, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#SBATCH -p %s\n" % self.run_params["partition"]) fout.write("#SBATCH -N %d\n" % self.run_params["nodes"]) fout.write("#SBATCH -n %d\n" % self.run_params["ntask"]) fout.write("#SBATCH -J %s-%d-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_b, i_batch_c)) fout.write("#SBATCH -o %s\n" % self.run_params["stdout"]) fout.write("#SBATCH -e %s\n" % self.run_params["stderr"]) fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") #a = self.poscar.xyz.cell[0][0] #c = self.poscar.xyz.cell[2][2] a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write("for b in `seq -w %f %f %f`\n" % (b+range_b_start, range_b[2], b+range_b_end)) fout.write("do\n") fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${b}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-%{b}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${b}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${b}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${b}-${c}/\n") fout.write(" yhrun $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") fout.write("done\n") fout.write("done\n") # gen pbs script with open("opt-abc-%d-%d-%d.pbs" % (i_batch_a, i_batch_b, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#PBS -N %s-%d-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_b, i_batch_c)) fout.write("#PBS -l nodes=%d:ppn=%d\n" % (self.run_params["nodes"], self.run_params["ppn"])) if "queue" in self.run_params and self.run_params["queue"] != None: fout.write("#PBS -q %s\n" %self.run_params["queue"]) fout.write("\n") fout.write("cd $PBS_O_WORKDIR\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") fout.write("NP=`cat $PBS_NODEFILE | wc -l`\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write("for b in `seq -w %f %f %f`\n" % (b+range_b_start, range_b[2], b+range_b_end)) fout.write("do\n") fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${b}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${b}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${b}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${b}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${b}-${c}/\n") fout.write(" mpirun -np $NP -machinefile $PBS_NODEFILE $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") fout.write("done\n") fout.write("done\n") # gen local bash script with open("opt-abc-%d-%d-%d.sh" % (i_batch_a, i_batch_b, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write("for b in `seq -w %f %f %f`\n" % (b+range_b_start, range_b[2], b+range_b_end)) fout.write("do\n") fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${b}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${b}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${b}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${b}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${b}-${c}/\n") fout.write(" %s $PMF_VASP_STD\n" % self.run_params["mpi"]) fout.write(" cd ../\n") fout.write("done\n") fout.write("done\n") fout.write("done\n") # gen lsf_sz script with open("opt-abc-%d-%d-%d.lsf_sz" % (i_batch_a, i_batch_b, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("APP_NAME=%s\n" % self.run_params["queue"]) fout.write("NP=%d\n" % (self.run_params["nodes"]*self.run_params["ppn"])) fout.write("NP_PER_NODE=%d\n" % self.run_params["ppn"]) fout.write("RUN=\"RAW\"\n") fout.write("CURDIR=$PWD\n") fout.write("#VASP=/home-yg/Soft/Vasp5.4/vasp_std\n") fout.write("source /home-yg/env/intel-12.1.sh\n") fout.write("source /home-yg/env/openmpi-1.6.5-intel.sh\n") fout.write("cd $CURDIR\n") fout.write("# starting creating ./nodelist\n") fout.write("rm -rf $CURDIR/nodelist >& /dev/null\n") fout.write("for i in `echo $LSB_HOSTS`\n") fout.write("do\n") fout.write(" echo \"$i\" >> $CURDIR/nodelist \n") fout.write("done\n") fout.write("ndoelist=$(cat $CURDIR/nodelist | uniq | awk \'{print $1}\' | tr \'\n\' \',\')\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write("for b in `seq -w %f %f %f`\n" % (b+range_b_start, range_b[2], b+range_b_end)) fout.write("do\n") fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${b}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${b}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${b}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${b}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${b}-${c}/\n") fout.write("mpirun -np $NP -machinefile $CURDIR/nodelist $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") fout.write("done\n") fout.write("done\n") # gen lsf_sustc script with open("opt-abc-%d-%d-%d.lsf_sustc" % (i_batch_a, i_batch_b, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#BSUB -J %s\n" % self.run_params["jobname"]) fout.write("#BSUB -e %J.err\n") fout.write("#BSUB -o %J.out\n") fout.write("#BSUB -q %s\n" % self.run_params["queue"]) fout.write("#BSUB -n %s\n" % (self.run_params["nodes"] * self.run_params["ppn"])) #number of total cores fout.write("#BSUB -R \"span[ptile=%d]\"\n" % self.run_params["ppn"]) fout.write("hostfile=`echo $LSB_DJOB_HOSTFILE`\n") fout.write("NP=`cat $hostfile | wc -l`\n") fout.write("cd $LS_SUBCWD\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write("for b in `seq -w %f %f %f`\n" % (b+range_b_start, range_b[2], b+range_b_end)) fout.write("do\n") fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${b}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-${b}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${b}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${b}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${b}-${c}/\n") fout.write("mpirun -machinefile $LSB_DJOB_HOSTFILE -np $NP $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") fout.write("done\n") fout.write("done\n") # gen cdcloud script with open("opt-abc-%d-%d-%d.slurm" % (i_batch_a, i_batch_b, i_batch_c), 'w') as fout: fout.write("#!/bin/bash\n") fout.write("#SBATCH -p %s\n" % self.run_params["partition"]) fout.write("#SBATCH -N %d\n" % self.run_params["nodes"]) fout.write("#SBATCH -n %d\n" % self.run_params["ntask"]) fout.write("#SBATCH -J %s-%d-%d-%d\n" % (self.run_params["jobname"], i_batch_a, i_batch_b, i_batch_c)) fout.write("#SBATCH -o %s\n" % self.run_params["stdout"]) fout.write("#SBATCH -e %s\n" % self.run_params["stderr"]) fout.write("#\n") fout.write("export I_MPI_PMI_LIBRARY=/opt/gridview/slurm/lib/libpmi.so\n") fout.write("export FORT_BUFFERED=1\n") fout.write("cat > INCAR<<EOF\n") self.incar.to_incar(fout) fout.write("EOF\n") #a = self.poscar.xyz.cell[0][0] #c = self.poscar.xyz.cell[2][2] a = np.sqrt(self.poscar.xyz.cell[0][0]**2+self.poscar.xyz.cell[0][1]**2+self.poscar.xyz.cell[0][2]**2) b = np.sqrt(self.poscar.xyz.cell[1][0]**2+self.poscar.xyz.cell[1][1]**2+self.poscar.xyz.cell[1][2]**2) c = np.sqrt(self.poscar.xyz.cell[2][0]**2+self.poscar.xyz.cell[2][1]**2+self.poscar.xyz.cell[2][2]**2) fout.write("a_in=%f\n" % a) fout.write("b_in=%f\n" % b) fout.write("c_in=%f\n" % c) fout.write("a1=%f\n" % self.poscar.xyz.cell[0][0]) fout.write("a2=%f\n" % self.poscar.xyz.cell[0][1]) fout.write("a3=%f\n" % self.poscar.xyz.cell[0][2]) fout.write("b1=%f\n" % self.poscar.xyz.cell[1][0]) fout.write("b2=%f\n" % self.poscar.xyz.cell[1][1]) fout.write("b3=%f\n" % self.poscar.xyz.cell[1][2]) fout.write("c1=%f\n" % self.poscar.xyz.cell[2][0]) fout.write("c2=%f\n" % self.poscar.xyz.cell[2][1]) fout.write("c3=%f\n" % self.poscar.xyz.cell[2][2]) fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a_start, range_a[2], a+range_a_end)) fout.write("do\n") fout.write("for b in `seq -w %f %f %f`\n" % (b+range_b_start, range_b[2], b+range_b_end)) fout.write("do\n") fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c_start, range_c[2], c+range_c_end)) fout.write("do\n") fout.write(" mkdir relax-${a}-${b}-${c}\n") fout.write(" cp POTCAR KPOINTS INCAR relax-${a}-%{b}-${c}/\n") fout.write(" vec11=$(printf \"%-.6f\" `echo \"scale=6; result=${a1} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec12=$(printf \"%-.6f\" `echo \"scale=6; result=${a2} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec13=$(printf \"%-.6f\" `echo \"scale=6; result=${a3} * ${a} / ${a_in}; print result\" | bc`)\n") fout.write(" vec21=$(printf \"%-.6f\" `echo \"scale=6; result=${b1} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec22=$(printf \"%-.6f\" `echo \"scale=6; result=${b2} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec23=$(printf \"%-.6f\" `echo \"scale=6; result=${b3} * ${b} / ${b_in}; print result\" | bc`)\n") fout.write(" vec31=$(printf \"%-.6f\" `echo \"scale=6; result=${c1} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec32=$(printf \"%-.6f\" `echo \"scale=6; result=${c2} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" vec33=$(printf \"%-.6f\" `echo \"scale=6; result=${c3} * ${c} / ${c_in}; print result\" | bc`)\n") fout.write(" cat > relax-${a}-${b}-${c}/POSCAR<<EOF\n") fout.write("general comment\n") fout.write("1.0\n") fout.write("${vec11} ${vec12} ${vec13}\n") fout.write("${vec21} ${vec22} ${vec23}\n") fout.write("${vec31} ${vec32} ${vec33}\n") fout.write("EOF\n") fout.write(" cat POSCAR | tail -n +6 >> relax-${a}-${b}-${c}/POSCAR\n") fout.write(" cd relax-${a}-${b}-${c}/\n") fout.write(" srun --mpi=pmix_v3 $PMF_VASP_STD\n") fout.write(" cd ../\n") fout.write("done\n") fout.write("done\n") fout.write("done\n") # generate result analysis script os.system("mkdir -p post-processing") with open("post-processing/get_energy.sh", 'w') as fout: fout.write("#!/bin/bash\n") # the comment fout.write("cat > energy-latconst.data <<EOF\n") fout.write("# format: a b c energy(eV)\n") fout.write("EOF\n") # end fout.write("for a in `seq -w %f %f %f`\n" % (a+range_a[0], range_a[2], a+range_a[1])) fout.write("do\n") fout.write("for b in `seq -w %f %f %f`\n" % (b+range_b[0], range_b[2], b+range_b[1])) fout.write("do\n") fout.write("for c in `seq -w %f %f %f`\n" % (c+range_c[0], range_c[2], c+range_c[1])) fout.write("do\n") fout.write(" energy=`cat ../relax-${a}-${b}-${c}/OUTCAR | grep 'energy without entropy=' | tail -1`\n") fout.write(" cat >> energy-latconst.data <<EOF\n") #fout.write("${a} ${c} ${energy:27:-36}\n") fout.write("${a} ${b} ${c} ${energy:27:17}\n") fout.write("EOF\n") fout.write("done\n") fout.write("done\n") fout.write("done\n") #fout.write("cat > energy-latconst.gp<<EOF\n") #fout.write("set term gif\n") #fout.write("set output 'energy-latconst.gif'\n") #fout.write("set title 'Energy Latconst'\n") #fout.write("set xlabel 'latconst(a)'\n") #fout.write("set ylabel 'latconst(c)'\n") #fout.write("set zlabel 'Energy'\n") #fout.write("splot 'energy-latconst.data'\n") #fout.write("EOF\n") #fout.write("\n") #fout.write("gnuplot energy-latconst.gp") os.chdir("../") if runopt == "run" or runopt == "genrun": os.chdir(directory) for i_batch_a in range(n_batch_a): for i_batch_b in range(n_batch_b): for i_batch_c in range(n_batch_c): os.system("bash opt-abc-%d-%d-%d.sh" % (i_batch_a, i_batch_b, i_batch_c)) os.chdir("../") for i_batch_a in range(n_batch_a): for i_batch_b in range(n_batch_b): for i_batch_c in range(n_batch_c): server_handle(auto=auto, directory=directory, jobfilebase="opt-abc-%d-%d-%d" % (i_batch_a, i_batch_b, i_batch_c), server=self.run_params["server"])
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0.084459
0.99117
0.988822
0.987433
0.986225
0.980534
0.976966
0
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0.384726
216,154
3,015
267
71.692869
0.626397
0.040443
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0.020908
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0.002389
false
0.008761
0.002389
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0.173636
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null
1
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1
1
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8
419391f71018d15712fa0fcc4b2c51be85bfe611
9,070
py
Python
dao/relatorio_dao.py
AlexsandroFaria/ControleChamadosPython
d273631ca75325efad80033ad304f7ac23faa392
[ "MIT" ]
null
null
null
dao/relatorio_dao.py
AlexsandroFaria/ControleChamadosPython
d273631ca75325efad80033ad304f7ac23faa392
[ "MIT" ]
null
null
null
dao/relatorio_dao.py
AlexsandroFaria/ControleChamadosPython
d273631ca75325efad80033ad304f7ac23faa392
[ "MIT" ]
null
null
null
from connection.connection_database import ConexaoDatabase class RelatorioDao: """Classe Relatório dao Classe que realiza a conexão com o banco de dados e efetua diversas consultas sql. """ def consulta_nome_solucao(self): """Consulta nome solução Consulta no banco de dados o nome das soluções cadastradas. :return: Lista de soluções. """ conexao = ConexaoDatabase() comando_sql = "SELECT solucao FROM tb_solucao" resultado = conexao.executar_consulta(comando_sql) return resultado def relatorio_solucao_ordenado_numero_chamado(self, solucao): """Relatório de solução ordenada por número do chamado Efetua uma consulta no banco de dados por solução e ordenada por número do chamado. :param solucao: str :return: Lista de chamados por solução. """ conexao = ConexaoDatabase() comando_sql = f"SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ f"contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ f"status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ f"date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado WHERE " \ f"solucao_chamado='{solucao}' ORDER BY numero_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado def relatorio_solucao_ordenado_contrato_chamado(self, solucao): """Relatório de solução ordenada por número do contrato Efetua uma consulta no banco de dados por solução e ordenada por número do contrato. :param solucao: str :return: Lista de chamados por solução. """ conexao = ConexaoDatabase() comando_sql = f"SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ f"contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ f"status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ f"date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado WHERE" \ f"solucao_chamado='{solucao}' ORDER BY contrato_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado def relatorio_chamado_data_ordenado_por_numero(self, data): """Relatório de chamados por data ordenada por número do chamado Efetua uma consulta no banco de dados por data e ordenada por número do chamado. :param solucao: str :return: Lista de chamados por data. """ conexao = ConexaoDatabase() comando_sql = f"SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ f"contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ f"status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ f"date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado WHERE " \ f"data_abertura_chamado='{data}' ORDER BY numero_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado def relatorio_chamado_data_ordenado_por_contrato(self, data): """Relatório de chamados por data ordenada por número do contrato Efetua uma consulta no banco de dados por data e ordenada por número do contrato. :param solucao: str :return: Lista de chamados por data. """ conexao = ConexaoDatabase() comando_sql = f"SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ f"contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ f"status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ f"date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado WHERE " \ f"data_abertura_chamado='{data}' ORDER BY contrato_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado def relatorio_tipo_chamado_por_numero(self, tipo_chamado): """Relatório de chamados por tipo do chamado ordenada por número do chamado Efetua uma consulta no banco de dados por tipo do chamado e ordenada por número do chamado. :param solucao: str :return: Lista de chamados por tipo. """ conexao = ConexaoDatabase() comando_sql = f"SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ f"contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ f"status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ f"date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado WHERE " \ f"tipo_chamado='{tipo_chamado}' ORDER BY numero_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado def relatorio_tipo_chamado_por_contrato(self, tipo_chamado): """Relatório de chamados por tipo do chamado ordenada por número do contrato Efetua uma consulta no banco de dados por tipo do chamado e ordenada por número do contrato. :param solucao: str :return: Lista de chamados por tipo. """ conexao = ConexaoDatabase() comando_sql = f"SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ f"contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ f"status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ f"date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado WHERE " \ f"tipo_chamado='{tipo_chamado}' ORDER BY contrato_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado def relatorio_status_chamado_por_numero(self, status): """Relatório de chamados por status ordenada por número do chamado Efetua uma consulta no banco de dados por status e ordenada por número do chamado. :param solucao: str :return: Lista de chamados por status. """ conexao = ConexaoDatabase() comando_sql = f"SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ f"contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ f"status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ f"date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado WHERE " \ f"status_chamado='{status}' ORDER BY numero_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado def relatorio_status_chamado_por_contrato(self, status): """Relatório de chamados por status ordenada por número do contrato Efetua uma consulta no banco de dados por status e ordenada por número do contrato. :param solucao: str :return: Lista de chamados por status. """ conexao = ConexaoDatabase() comando_sql = f"SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ f"contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ f"status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ f"date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado WHERE " \ f"status_chamado='{status}' ORDER BY contrato_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado def gerar_relatorio_padrao(self): """Relatório de chamados sem filtros ou ordenação Efetua uma consulta no banco de dados retornando todos os chamados. :param solucao: str :return: Lista de chamados. """ conexao = ConexaoDatabase() comando_sql = "SELECT numero_chamado, contrato_chamado, nome_cliente_chamado, endereco_chamado," \ "contato_chamado, telefone_chamado, email_chamado, problema_chamado, observacao_chamado," \ "status_chamado, tipo_chamado, solucao_chamado, date_format(data_abertura_chamado,'%d/%m/%Y')," \ "date_format(data_atualizacao_chamado, '%d/%m/%Y') FROM tb_chamado" resultado = conexao.executar_consulta(comando_sql) return resultado
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41a44fb018f9d2a91153f3bf63525ed8e9b1c58b
10,752
py
Python
src/config/vnc_openstack/vnc_openstack/tests/test_strict_compliance.py
kaweue/contrail-controller
66a8f1d13e2c28ddae6b5a5be6f068a03bea94e3
[ "Apache-2.0" ]
1
2019-01-11T06:16:10.000Z
2019-01-11T06:16:10.000Z
src/config/vnc_openstack/vnc_openstack/tests/test_strict_compliance.py
kaweue/contrail-controller
66a8f1d13e2c28ddae6b5a5be6f068a03bea94e3
[ "Apache-2.0" ]
2
2018-12-04T02:20:52.000Z
2018-12-22T06:16:30.000Z
src/config/vnc_openstack/vnc_openstack/tests/test_strict_compliance.py
kaweue/contrail-controller
66a8f1d13e2c28ddae6b5a5be6f068a03bea94e3
[ "Apache-2.0" ]
1
2020-06-08T11:50:36.000Z
2020-06-08T11:50:36.000Z
import sys import json import uuid import logging from testtools.matchers import Equals, Contains, Not from testtools import content, content_type, ExpectedException import webtest.app from vnc_api.vnc_api import * sys.path.append('../common/tests') from test_utils import * import test_common import test_case logger = logging.getLogger(__name__) class TestStrictCompOn(test_case.NeutronBackendTestCase): @classmethod def setUpClass(cls): super(TestStrictCompOn, cls).setUpClass( extra_config_knobs=[('NEUTRON', 'strict_compliance', True)]) #end setUpClass def _create_resource(self, res_type, proj_id, name=None, extra_res_fields=None): context = {'operation': 'CREATE', 'user_id': '', 'is_admin': False, 'roles': '', 'tenant_id': proj_id} if name: res_name = name else: res_name = '%s-%s' %(res_type, str(uuid.uuid4())) data = {'resource': {'name': res_name, 'tenant_id': proj_id}} if extra_res_fields: data['resource'].update(extra_res_fields) body = {'context': context, 'data': data} resp = self._api_svr_app.post_json('/neutron/%s' %(res_type), body) res_q = json.loads(resp.text) return res_name, res_q # end _create_resource def _create_floatingip_and_associate_port_without_ext_gw(self, proj_id, name=None): #external network net_name, net_q = self._create_resource('network', proj_id, extra_res_fields={'router:external':True}) subnet_name, subnet_q = self._create_resource('subnet', proj_id, name, extra_res_fields={'network_id': net_q['id'], 'cidr': '10.2.0.0/24', 'ip_version': 4}) #private network pvt_net_name, pvt_net_q = self._create_resource('network', proj_id) pvt_subnet_name, pvt_subnet_q = self._create_resource('subnet', proj_id, name, extra_res_fields={'network_id': pvt_net_q['id'], 'cidr': '10.1.0.0/24', 'ip_version': 4}) port_name, port_q = self._create_resource('port', proj_id, name, extra_res_fields={'network_id': pvt_subnet_q['network_id']}) return self._create_resource('floatingip', proj_id, name, extra_res_fields={'floating_network_id': net_q['id'], 'port_id':port_q['id']}) def _create_floatingip_and_associate_port_with_ext_gw(self, proj_id, name=None): #external network net_name, net_q = self._create_resource('network', proj_id, extra_res_fields={'router:external':True}) subnet_name, subnet_q = self._create_resource('subnet', proj_id, name, extra_res_fields={'network_id': net_q['id'], 'cidr': '10.2.0.0/24', 'ip_version': 4}) router_name, router_q = self._create_resource('router',proj_id, name) #private network pvt_net_name, pvt_net_q = self._create_resource('network', proj_id) pvt_subnet_name, pvt_subnet_q = self._create_resource('subnet', proj_id, name, extra_res_fields={'network_id': pvt_net_q['id'], 'cidr': '10.1.0.0/24', 'ip_version': 4}) port_name, port_q = self._create_resource('port', proj_id, name, extra_res_fields={'network_id': pvt_subnet_q['network_id']}) port2_name, port2_q = self._create_resource('port', proj_id, name, extra_res_fields={'network_id': pvt_subnet_q['network_id']}) #External gateway router_name, router_q = self._update_resource('router', router_q['id'], proj_id, name, extra_res_fields={'external_gateway_info': {'network_id':net_q['id']}}) router_name, router_q = self._add_router_interface('router', router_q['id'], proj_id, name, extra_res_fields={'port_id':port2_q['id']}) return self._create_resource('floatingip', proj_id, name, extra_res_fields={'floating_network_id': net_q['id'], 'port_id':port_q['id']}) def _update_resource(self, res_type, res_id, proj_id, name=None, extra_res_fields=None): context = {'operation': 'UPDATE', 'user_id': '', 'is_admin': False, 'roles': '', 'tenant_id': proj_id} if name: res_name = name else: res_name = '%s-%s' %(res_type, str(uuid.uuid4())) data = {'resource': {'name': res_name, 'tenant_id': proj_id}, 'id': res_id} if extra_res_fields: data['resource'].update(extra_res_fields) body = {'context': context, 'data': data} resp = self._api_svr_app.post_json('/neutron/%s' %(res_type), body) res_q = json.loads(resp.text) return res_name, res_q # end _update_resource def _add_router_interface(self, res_type, res_id, proj_id, name=None, extra_res_fields=None): context = {'operation': 'ADDINTERFACE', 'user_id': '', 'is_admin': False, 'roles': '', 'tenant_id': proj_id} if name: res_name = name else: res_name = '%s-%s' %(res_type, str(uuid.uuid4())) data = {'resource': {'name': res_name, 'tenant_id': proj_id}, 'id': res_id} if extra_res_fields: data['resource'].update(extra_res_fields) body = {'context': context, 'data': data} resp = self._api_svr_app.post_json('/neutron/%s' %(res_type), body) res_q = json.loads(resp.text) return res_name, res_q # end _update_resource #test when strict_compliance is ON def test_create_fip_and_associate_port_without_ext_gw(self): proj_obj = self._vnc_lib.project_read(fq_name=['default-domain', 'default-project']) for res_type in ['security_group']: res_name, res_q = getattr(self, '_create_' + res_type, lambda x:self._create_resource(res_type, x))(proj_obj.uuid) res_list = self._list_resources(res_type, tenant_id=proj_obj.uuid, name=res_name) with ExpectedException(webtest.app.AppError): self._create_floatingip_and_associate_port_without_ext_gw(proj_obj.uuid) #test when strict_compliance is ON def test_create_fip_and_associate_port_with_ext_gw(self): proj_obj = self._vnc_lib.project_read(fq_name=['default-domain', 'default-project']) for res_type in ['security_group']: res_name, res_q = getattr(self, '_create_' + res_type, lambda x:self._create_resource(res_type, x))(proj_obj.uuid) res_list = self._list_resources(res_type, tenant_id=proj_obj.uuid, name=res_name) self._create_floatingip_and_associate_port_with_ext_gw(proj_obj.uuid) def _list_resources(self, res_type, fields=None, tenant_id=None, name=None): context = {'operation': 'READALL', 'userid': '', 'roles': '', 'is_admin': False, 'tenant': tenant_id, 'tenant_id': tenant_id} data = {'filters':{}, 'fields': None} if name: data.update({'filters': {'name': [name]}}) if fields: data.update({'fields': fields}) body = {'context': context, 'data': data} resp = self._api_svr_app.post_json('/neutron/%s' %(res_type), body) res_q = json.loads(resp.text) return res_q # end _list_resources # end class TestStrictCompON class TestStrictCompOff(test_case.NeutronBackendTestCase): @classmethod def setUpClass(cls): super(TestStrictCompOff, cls).setUpClass( extra_config_knobs=[('NEUTRON', 'strict_compliance', False)]) #end setUpClass def _create_resource(self, res_type, proj_id, name=None, extra_res_fields=None): context = {'operation': 'CREATE', 'user_id': '', 'is_admin': False, 'roles': '', 'tenant_id': proj_id} if name: res_name = name else: res_name = '%s-%s' %(res_type, str(uuid.uuid4())) data = {'resource': {'name': res_name, 'tenant_id': proj_id}} if extra_res_fields: data['resource'].update(extra_res_fields) body = {'context': context, 'data': data} resp = self._api_svr_app.post_json('/neutron/%s' %(res_type), body) res_q = json.loads(resp.text) return res_name, res_q # end _create_resource def _create_floatingip_and_associate_port_without_ext_gw(self, proj_id, name=None): #external network net_name, net_q = self._create_resource('network', proj_id, extra_res_fields={'router:external':True}) subnet_name, subnet_q = self._create_resource('subnet', proj_id, name, extra_res_fields={'network_id': net_q['id'], 'cidr': '10.2.0.0/24', 'ip_version': 4}) #private network pvt_net_name, pvt_net_q = self._create_resource('network', proj_id) pvt_subnet_name, pvt_subnet_q = self._create_resource('subnet', proj_id, name, extra_res_fields={'network_id': pvt_net_q['id'], 'cidr': '10.1.0.0/24', 'ip_version': 4}) port_name, port_q = self._create_resource('port', proj_id, name, extra_res_fields={'network_id': pvt_subnet_q['network_id']}) return self._create_resource('floatingip', proj_id, name, extra_res_fields={'floating_network_id': net_q['id'], 'port_id':port_q['id']}) #test when strict_compliance is OFF def test_create_fip_and_associate_port_without_ext_gw(self): proj_obj = self._vnc_lib.project_read(fq_name=['default-domain', 'default-project']) for res_type in ['security_group']: res_name, res_q = getattr(self, '_create_' + res_type, lambda x:self._create_resource(res_type, x))(proj_obj.uuid) res_list = self._list_resources(res_type, tenant_id=proj_obj.uuid, name=res_name) self._create_floatingip_and_associate_port_without_ext_gw(proj_obj.uuid) def _list_resources(self, res_type, fields=None, tenant_id=None, name=None): context = {'operation': 'READALL', 'userid': '', 'roles': '', 'is_admin': False, 'tenant': tenant_id, 'tenant_id': tenant_id} data = {'filters':{}, 'fields': None} if name: data.update({'filters': {'name': [name]}}) if fields: data.update({'fields': fields}) body = {'context': context, 'data': data} resp = self._api_svr_app.post_json('/neutron/%s' %(res_type), body) res_q = json.loads(resp.text) return res_q # end _list_resources # end class TestStrictCompOFF
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7
68f38771945727eb2c03c8e48d0dd49f3af1e294
850
py
Python
jink/utils/evals.py
auguwu/jink
4e26c6d8bb8db6f33e8873c4dd7d6fc0551bca48
[ "MIT" ]
12
2018-04-10T14:26:01.000Z
2021-10-13T20:07:31.000Z
jink/utils/evals.py
auguwu/jink
4e26c6d8bb8db6f33e8873c4dd7d6fc0551bca48
[ "MIT" ]
9
2018-04-10T04:28:32.000Z
2019-01-09T06:18:53.000Z
jink/utils/evals.py
auguwu/jink
4e26c6d8bb8db6f33e8873c4dd7d6fc0551bca48
[ "MIT" ]
9
2018-04-24T09:27:05.000Z
2019-10-25T01:20:04.000Z
BINOP_EVALS = { '+': lambda x, y: 0 if x + y is None else x + y, '-': lambda x, y: 0 if x - y is None else x - y, '/': lambda x, y: 0 if x / y is None else x / y, '//': lambda x, y: 0 if x // y is None else x // y, '*': lambda x, y: 0 if x * y is None else x * y, '^': lambda x, y: 0 if x ** y is None else x ** y, '>': lambda x, y: 'true' if x > y else 'false', '<': lambda x, y: 'true' if x < y else 'false', '>=': lambda x, y: 'true' if x >= y else 'false', '<=': lambda x, y: 'true' if x <= y else 'false', '==': lambda x, y: 'true' if x == y else 'false', '!=': lambda x, y: 'true' if x != y else 'false' } UNOP_EVALS = { '!': lambda x: 'true' if x else 'false', '-': lambda x: 0 if x - x * 2 is None else x - x * 2, '++': lambda x: 0 if x + 1 is None else x + 1, '--': lambda x: 0 if x - 1 is None else x - 1 }
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8
ec31572abfa4f90b5c8912aac678cce1f2588fab
42,165
py
Python
RPMod.py
Eagle1408/Eagle
141b64d4a79c779f63b49460c79130c97b0ef60f
[ "Unlicense" ]
null
null
null
RPMod.py
Eagle1408/Eagle
141b64d4a79c779f63b49460c79130c97b0ef60f
[ "Unlicense" ]
null
null
null
RPMod.py
Eagle1408/Eagle
141b64d4a79c779f63b49460c79130c97b0ef60f
[ "Unlicense" ]
null
null
null
from .. import loader, utils @loader.tds class RPMod(loader.Module): """Модуль RPMod by недоСашка""" strings = {'name': 'RPMod недоСашка'} async def client_ready(self, client, db): self.db = db self.db.set("RPMod", "status", True) async def rpmodcmd(self, message): """Используй: .rpmod чтобы включить/выключить RP режим.""" status = self.db.get("RPMod", "status") if status is not False: self.db.set("RPMod", "status", False) await message.edit("<b>RP Режим <code>выключен</code></b>") else: self.db.set("RPMod", "status", True) await message.edit("<b>RP Режим <code>включен</code></b>") async def рплистcmd(self, message): """Используй: .рплист чтобы посмотреть список рп команд.""" await message.edit("<b>• Список: https://t.me/joinchat/Sb7xufbxdzwwNzg6 • </b>") async def watcher(self, message): status = self.db.get("RPMod", "status") reply = await message.get_reply_message() try: user = await message.client.get_entity(reply.sender_id) me = (await message.client.get_me()) if status is not False: if message.sender_id == me.id: if message.text.lower() == "чмок": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> чмокнул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "чпок": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> чпокнул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "кусь": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> кусьнул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "обнять": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> обнял(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "шлеп": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> шлепнул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "ударить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> ударил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "купить пиво": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> купил(-а) пиво <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "выпить пиво": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выпил(-а) пиво с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "послать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> послал(-а) нахуй <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "сосать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отсосал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "пожениться": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> поженился(-а) на <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "развод": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> развёлся(-ась) с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "уложить спать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> уложил(-а) спать <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "лечь спать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> лег(-ла) спать с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "купить еду": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> купил(-а) еду для <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "❤️": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> признался(-ась) в любви <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "рука и сердце": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> просит руку и сердце у <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "кинуть на карту": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отправил(-а) деньги на карту <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "купить чипсы": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> купил(-а) чипсы <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "связать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> связал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "придушить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> придушил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "возбудить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> возбудил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "погладить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> погладил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "утопить в молоке": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> утопил(-а) в молоке <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "кончить на": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> кончил(-а) на <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "сделать чик-чик": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> сделал(-а) чик-чик <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "кастрировать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> кастрировал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "пустить слюни на": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> пустил(-а) слюни на <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "почесать за ухом": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> почесал(-а) за ухом <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "поцеловать в лобик": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> поцеловал(-а) в лобик <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "плюнуть в лицо": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> плюнул(-а) в лицо <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "чмокнуть в лобик": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> чмокнул(-а) в лобик <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "харкнуть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> харкнул(-а) в <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "прогнать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> прогнал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "обсосать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> обсосал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "скинуть фотку": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> скинул(-а) фотку <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "обоссать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> обоссал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "рыгнуть в лицо": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> рыгнул(-а) в лицо <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "показать жопу": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> показал(-а) жопу <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "показать сиськи": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> показала сиськи <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "показать хуй": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> показал хуй <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "бросить в канаву": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> бросил(-а) в канаву <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "обидется на": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> обиделся(-ась) на <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "уебать об стенку": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> уебал(-ала) об стенку <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "послать додому": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> послал(-а) додому <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "послать до хаты": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> послал(-а) до хаты <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "дать в попку": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> дал(-а) в попку <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "прийти к": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> пришёл(-шла) к <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "чмокнуть в попку": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> чмокнул(-а) в попку <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "чмок в пупок": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> чмокнул(а) в пупок <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "облизать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> облизал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "позвать на турнир": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> позвал(-а) на турнир <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "похвалить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> похвалил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "сделать могилу для": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> сделал(-а) могилу для <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "спать рядом с": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> спит рядом с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "выбросить на улицу": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выбросил(-а) на улицу <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "выгнать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выгнал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "ударить тапком": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> ударил(-а) тапком <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "попросить деньги у": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> попросил(-а) деньги у <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "пожелать спокойной ночи": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> пожелал(-а) спокойной ночи <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "подарить носок": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> подарил(-а) носок <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "приручить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> приручил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "присвоить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> присвоил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "подарить свободу": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> подарил(-а) свободу <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "взять в рабство": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> взял(-а) в рабство <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "поклонится": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> поклонился(-ась) перед <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "извинится": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> извиняеться перед <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "собрать вещи": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> собрал(-а) вещи <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "больше не общаться": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> больше не общаеться с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "захотеть выебать в очко": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> захотел(-а) выебать в очко <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "накормить пельменями": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> накормил(-а) пельменями <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "одеть штаны": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> одел(-а) штаны на <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "снять штаны": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> снял(-а) штаны с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "снять кофту": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> снял(-а) кофту с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "связать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> связал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "уебать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> уебал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отсосать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отсосал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отлизать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отлизал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "задушить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> задушил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "украсть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> украл(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "погладить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> погладил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "притянуть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> притянул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "забеременеть от": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> забеременел(-а) от <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "завести детей": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> завел(-ла) детей с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "уйти от": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> ушёл(-шла) от <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "посадить на инвалида": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> писадил(-а) на инвалида <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "тронуть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> тронул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "постричь налысо": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> постриг(-ла) налысо <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "дать по жопе": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> дал(-а) по жопе <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отшлёпать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отшлёпал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "украсть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> украл(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "накурить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> накурил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "станцевать стриптиз для": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> станцевал(-а) стриптиз для <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "смех": await message.edit(f"АХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХАХА") if message.text.lower() == "обидется на": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> обиделся(-ась) на <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "уебать об стенку": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> уебал(-ала) об стенку <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "послать додому": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> послал(-а) додому <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "послать до хаты": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> послал(-а) до хаты <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "дать в попку": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> дал(-а) в попку <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "прийти к": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> пришёл(-шла) к <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "чмокнуть в попку": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> чмокнул(-а) в попку <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "чмок в пупок": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> чмокнул(а) в пупок <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "облизать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> облизал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "позвать на турнир": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> позвал(-а) на турнир <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "похвалить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> похвалил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "сделать могилу для": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> сделал(-а) могилу для <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "спать рядом с": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> спит рядом с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "выбросить на улицу": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выбросил(-а) на улицу <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "выгнать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выгнал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "ударить тапком": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> ударил(-а) тапком <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "попросить деньги у": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> попросил(-а) деньги у <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "пожелать спокойной ночи": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> пожелал(-а) спокойной ночи <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "подарить вибратор": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> подарил(-а) вибратор <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "приручить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> приручил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "присвоить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> присвоил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "облить килостой": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> облил(-а) еислотой <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "взять в рабство": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> взял(-а) в рабство <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "поклонится": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> поклонился(-ась) перед <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "извинится": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> извиняеться перед <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "собрать вещи": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> собрал(-а) вещи <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "больше не общаться": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> больше не общаеться с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "захотеть выебать в очко": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> захотел(-а) выебать в очко <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "накормить пельменями": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> накормил(-а) пельменями <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "одеть штаны": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> одел(-а) штаны на <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "снять штаны": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> снял(-а) штаны с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "снять кофту": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> снял(-а) кофту с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "связать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> связал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "уебать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> уебал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отсосать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отсосал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отлизать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отлизал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "задушить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> задушил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "украсть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> украл(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "погладить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> погладил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "притянуть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> притянул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "изнасиловать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> изнасиловал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отпороть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отпорол(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отнести": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отнести <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "кастрировать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> кастрировать <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "научить сосать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> научить сосать <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "обмануть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> обманул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отрезать пипиську": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отрезал(-а) пипиську <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "утонуть в глазах": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> утонул(-а) в глазах <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "станцевать для": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> станцевал(-а) для <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "обматерить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> обматерил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "обхуесосить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> обхуесосил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "подарить девственность": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> подарил(-а) девственность <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "забрать девственность": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> забрал(-а) девственность <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "лишить девственности": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> лишил(-а) девственности <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "покрестить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> покрестил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "наказать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> наказал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "пригласить на поминки": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> пригласил(-а) на поминки <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "возбудить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> возбудил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "пригласить на свадьбу": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> пригласил(-а) на свадьбу <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "бухнуть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> бухнул(-а) с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "потанцевать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> потанцевал(-а) с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "выпить чай": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выпил(-а) чай с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "позвать в гости": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> позвал(-а) в гости <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "похоронить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> похоронил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "выгнать из свадьбы": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выгнал(-а) из свадьбы <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "пригласить на др": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> пригласил(-а) на др <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "выгнать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выгнал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отнести домой": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отнёс(-ла) домой <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "родить детей от": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> родил(-а) детей от <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "забеременеть от": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> забеременел(-а) от <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "завести детей": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> завел(-ла) детей с <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "уйти от": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> ушёл(-шла) от <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "посадить на инвалида": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> посадил(-а) на инвалида <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "тронуть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> тронул(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "постричь налысо": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> постриг(-ла) налысо <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "дать по жопе": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> дал(-а) по жопе <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "отшлёпать": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> отшлёпал(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "украсть": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> украл(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "накурить": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> накурил(-а) <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "кинуть в чс": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> кинул(-а) в ЧС <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "достать с чс": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> достал(-а) с ЧС <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "мут": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> дал(-а) мут навсегда для <a href=tg://user?id={user.id}>{user.first_name}</a>") if message.text.lower() == "бан": await message.edit(f"<a href=tg://user?id={me.id}>{me.first_name}</a> выдал(-а) бан для <a href=tg://user?id={user.id}>{user.first_name}</a>") except: pass
108.115385
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0.53006
6,315
42,165
3.482977
0.055424
0.144033
0.112025
0.17604
0.919254
0.915708
0.911162
0.908616
0.908616
0.908616
0
0.000064
0.253101
42,165
389
197
108.393316
0.698219
0.000593
0
0.55
0
0.463158
0.555852
0.400788
0
0
0
0
0
1
0
false
0.002632
0.002632
0
0.007895
0
0
0
0
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ec409237864032081cff4fb3cb187bdb283a7f57
9,717
py
Python
idfy_rest_client/controllers/signers_controller.py
dealflowteam/Idfy
fa3918a6c54ea0eedb9146578645b7eb1755b642
[ "MIT" ]
null
null
null
idfy_rest_client/controllers/signers_controller.py
dealflowteam/Idfy
fa3918a6c54ea0eedb9146578645b7eb1755b642
[ "MIT" ]
null
null
null
idfy_rest_client/controllers/signers_controller.py
dealflowteam/Idfy
fa3918a6c54ea0eedb9146578645b7eb1755b642
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- """ idfy_rest_client.controllers.signers_controller This file was automatically generated for Idfy by APIMATIC v2.0 ( https://apimatic.io ). """ from .base_controller import BaseController from ..api_helper import APIHelper from ..configuration import Configuration from ..http.auth.o_auth_2 import OAuth2 from ..models.signer_response import SignerResponse from ..models.update_signer_request import UpdateSignerRequest class SignersController(BaseController): """A Controller to access Endpoints in the idfy_rest_client API.""" def signers_add(self, document_id, signer): """Does a POST request to /signature/documents/{documentId}/signers. Create signer Args: document_id (uuid|string): TODO: type description here. Example: signer (SignerWrapper): TODO: type description here. Example: Returns: SignerResponse: Response from the API. OK Raises: APIException: When an error occurs while fetching the data from the remote API. This exception includes the HTTP Response code, an error message, and the HTTP body that was received in the request. """ # Validate required parameters self.validate_parameters(document_id=document_id, signer=signer) # Prepare query URL _query_builder = Configuration.get_base_uri() _query_builder += '/signature/documents/{documentId}/signers' _query_builder = APIHelper.append_url_with_template_parameters(_query_builder, { 'documentId': document_id }) _query_url = APIHelper.clean_url(_query_builder) # Prepare headers _headers = { 'accept': 'application/json', 'content-type': 'application/json; charset=utf-8' } # Prepare and execute request _request = self.http_client.post(_query_url, headers=_headers, parameters=APIHelper.json_serialize(signer)) OAuth2.apply(_request) _context = self.execute_request(_request) self.validate_response(_context) # Return appropriate type return APIHelper.json_deserialize(_context.response.raw_body, SignerResponse.from_dictionary) def signers_list(self, document_id): """Does a GET request to /signature/documents/{documentId}/signers. List signers Args: document_id (uuid|string): TODO: type description here. Example: Returns: list of SignerResponse: Response from the API. OK Raises: APIException: When an error occurs while fetching the data from the remote API. This exception includes the HTTP Response code, an error message, and the HTTP body that was received in the request. """ # Validate required parameters self.validate_parameters(document_id=document_id) # Prepare query URL _query_builder = Configuration.get_base_uri() _query_builder += '/signature/documents/{documentId}/signers' _query_builder = APIHelper.append_url_with_template_parameters(_query_builder, { 'documentId': document_id }) _query_url = APIHelper.clean_url(_query_builder) # Prepare headers _headers = { 'accept': 'application/json' } # Prepare and execute request _request = self.http_client.get(_query_url, headers=_headers) OAuth2.apply(_request) _context = self.execute_request(_request) self.validate_response(_context) # Return appropriate type return APIHelper.json_deserialize(_context.response.raw_body, SignerResponse.from_dictionary) def signers_update(self, document_id, signer_id, request): """Does a PATCH request to /signature/documents/{documentId}/signers/{signerId}. Update signer Args: document_id (uuid|string): TODO: type description here. Example: signer_id (uuid|string): TODO: type description here. Example: request (UpdateSignerRequestWrapper): TODO: type description here. Example: Returns: UpdateSignerRequest: Response from the API. OK Raises: APIException: When an error occurs while fetching the data from the remote API. This exception includes the HTTP Response code, an error message, and the HTTP body that was received in the request. """ # Validate required parameters self.validate_parameters(document_id=document_id, signer_id=signer_id, request=request) # Prepare query URL _query_builder = Configuration.get_base_uri() _query_builder += '/signature/documents/{documentId}/signers/{signerId}' _query_builder = APIHelper.append_url_with_template_parameters(_query_builder, { 'documentId': document_id, 'signerId': signer_id }) _query_url = APIHelper.clean_url(_query_builder) # Prepare headers _headers = { 'accept': 'application/json', 'content-type': 'application/json; charset=utf-8' } # Prepare and execute request _request = self.http_client.patch(_query_url, headers=_headers, parameters=APIHelper.json_serialize(request)) OAuth2.apply(_request) _context = self.execute_request(_request) self.validate_response(_context) # Return appropriate type return APIHelper.json_deserialize(_context.response.raw_body, UpdateSignerRequest.from_dictionary) def signers_delete(self, document_id, signer_id): """Does a DELETE request to /signature/documents/{documentId}/signers/{signerId}. Delete signer Args: document_id (uuid|string): TODO: type description here. Example: signer_id (uuid|string): TODO: type description here. Example: Returns: mixed: Response from the API. OK Raises: APIException: When an error occurs while fetching the data from the remote API. This exception includes the HTTP Response code, an error message, and the HTTP body that was received in the request. """ # Validate required parameters self.validate_parameters(document_id=document_id, signer_id=signer_id) # Prepare query URL _query_builder = Configuration.get_base_uri() _query_builder += '/signature/documents/{documentId}/signers/{signerId}' _query_builder = APIHelper.append_url_with_template_parameters(_query_builder, { 'documentId': document_id, 'signerId': signer_id }) _query_url = APIHelper.clean_url(_query_builder) # Prepare headers _headers = { 'accept': 'application/json' } # Prepare and execute request _request = self.http_client.delete(_query_url, headers=_headers) OAuth2.apply(_request) _context = self.execute_request(_request) self.validate_response(_context) # Return appropriate type return APIHelper.json_deserialize(_context.response.raw_body) def signers_get(self, document_id, signer_id): """Does a GET request to /signature/documents/{documentId}/signers/{signerId}. Retrieves the details of a single signer. Args: document_id (uuid|string): TODO: type description here. Example: signer_id (uuid|string): TODO: type description here. Example: Returns: SignerResponse: Response from the API. OK Raises: APIException: When an error occurs while fetching the data from the remote API. This exception includes the HTTP Response code, an error message, and the HTTP body that was received in the request. """ # Validate required parameters self.validate_parameters(document_id=document_id, signer_id=signer_id) # Prepare query URL _query_builder = Configuration.get_base_uri() _query_builder += '/signature/documents/{documentId}/signers/{signerId}' _query_builder = APIHelper.append_url_with_template_parameters(_query_builder, { 'documentId': document_id, 'signerId': signer_id }) _query_url = APIHelper.clean_url(_query_builder) # Prepare headers _headers = { 'accept': 'application/json' } # Prepare and execute request _request = self.http_client.get(_query_url, headers=_headers) OAuth2.apply(_request) _context = self.execute_request(_request) self.validate_response(_context) # Return appropriate type return APIHelper.json_deserialize(_context.response.raw_body, SignerResponse.from_dictionary)
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9
ec5369454164ff45cb225881df7c571613e91e1f
105,254
py
Python
python/test/test_pure_trans.py
atztogo/spglib
1f286fbc2f5f487050120883a9b003da01f20029
[ "BSD-3-Clause" ]
131
2015-01-21T17:51:19.000Z
2020-04-21T02:14:57.000Z
python/test/test_pure_trans.py
atztogo/spglib
1f286fbc2f5f487050120883a9b003da01f20029
[ "BSD-3-Clause" ]
93
2015-06-24T12:38:57.000Z
2020-05-01T02:21:32.000Z
python/test/test_pure_trans.py
atztogo/spglib
1f286fbc2f5f487050120883a9b003da01f20029
[ "BSD-3-Clause" ]
65
2015-03-24T09:07:04.000Z
2020-04-29T13:50:14.000Z
import unittest import numpy as np from spglib import get_symmetry from vasp import read_vasp_from_strings Al222 = """Al 1.0 8.0786564361761641 0.0000000000000000 0.0000000000000000 0.0000000000000000 8.0786564361761641 0.0000000000000000 0.0000000000000000 0.0000000000000000 8.0786564361761641 32 Direct 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.5000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.5000000000000000 0.0000000000000000 0.5000000000000000 0.5000000000000000 0.0000000000000000 0.0000000000000000 0.0000000000000000 0.5000000000000000 0.5000000000000000 0.0000000000000000 0.5000000000000000 0.0000000000000000 0.5000000000000000 0.5000000000000000 0.5000000000000000 0.5000000000000000 0.5000000000000000 0.0000000000000000 0.2500000000000000 0.2500000000000000 0.5000000000000000 0.2500000000000000 0.2500000000000000 0.0000000000000000 0.7500000000000000 0.2500000000000000 0.5000000000000000 0.7500000000000000 0.2500000000000000 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0.2500000000000000 0.5000000000000000 0.2500000000000000 0.7500000000000000 0.5000000000000000 0.7500000000000000 0.7500000000000000 0.5000000000000000""" sym_ops_str = """ 1 0 0 0 1 0 0 0 1 0.0000000 0.0000000 0.0000000 -1 0 0 0 -1 0 0 0 -1 0.0000000 0.0000000 0.0000000 0 0 -1 0 1 0 1 0 0 0.0000000 0.0000000 0.0000000 0 0 1 0 -1 0 -1 0 0 0.0000000 0.0000000 0.0000000 -1 0 0 0 1 0 0 0 -1 0.0000000 0.0000000 0.0000000 1 0 0 0 -1 0 0 0 1 0.0000000 0.0000000 0.0000000 0 0 1 0 1 0 -1 0 0 0.0000000 0.0000000 0.0000000 0 0 -1 0 -1 0 1 0 0 0.0000000 0.0000000 0.0000000 1 0 0 0 -1 0 0 0 -1 0.0000000 0.0000000 0.0000000 -1 0 0 0 1 0 0 0 1 0.0000000 0.0000000 0.0000000 0 0 -1 0 -1 0 -1 0 0 0.0000000 0.0000000 0.0000000 0 0 1 0 1 0 1 0 0 0.0000000 0.0000000 0.0000000 -1 0 0 0 -1 0 0 0 1 0.0000000 0.0000000 0.0000000 1 0 0 0 1 0 0 0 -1 0.0000000 0.0000000 0.0000000 0 0 1 0 -1 0 1 0 0 0.0000000 0.0000000 0.0000000 0 0 -1 0 1 0 -1 0 0 0.0000000 0.0000000 0.0000000 0 1 0 0 0 1 1 0 0 0.0000000 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0.2500000 0 -1 0 1 0 0 0 0 -1 0.7500000 0.5000000 0.2500000 0 -1 0 0 0 -1 1 0 0 0.7500000 0.5000000 0.2500000 0 1 0 0 0 1 -1 0 0 0.7500000 0.5000000 0.2500000 0 -1 0 -1 0 0 0 0 -1 0.7500000 0.5000000 0.2500000 0 1 0 1 0 0 0 0 1 0.7500000 0.5000000 0.2500000 0 -1 0 0 0 1 -1 0 0 0.7500000 0.5000000 0.2500000 0 1 0 0 0 -1 1 0 0 0.7500000 0.5000000 0.2500000 0 -1 0 1 0 0 0 0 1 0.7500000 0.5000000 0.2500000 0 1 0 -1 0 0 0 0 -1 0.7500000 0.5000000 0.2500000 0 0 1 1 0 0 0 1 0 0.7500000 0.5000000 0.2500000 0 0 -1 -1 0 0 0 -1 0 0.7500000 0.5000000 0.2500000 1 0 0 0 0 -1 0 1 0 0.7500000 0.5000000 0.2500000 -1 0 0 0 0 1 0 -1 0 0.7500000 0.5000000 0.2500000 0 0 -1 -1 0 0 0 1 0 0.7500000 0.5000000 0.2500000 0 0 1 1 0 0 0 -1 0 0.7500000 0.5000000 0.2500000 -1 0 0 0 0 1 0 1 0 0.7500000 0.5000000 0.2500000 1 0 0 0 0 -1 0 -1 0 0.7500000 0.5000000 0.2500000 0 0 -1 1 0 0 0 -1 0 0.7500000 0.5000000 0.2500000 0 0 1 -1 0 0 0 1 0 0.7500000 0.5000000 0.2500000 -1 0 0 0 0 -1 0 -1 0 0.7500000 0.5000000 0.2500000 1 0 0 0 0 1 0 1 0 0.7500000 0.5000000 0.2500000 0 0 1 -1 0 0 0 -1 0 0.7500000 0.5000000 0.2500000 0 0 -1 1 0 0 0 1 0 0.7500000 0.5000000 0.2500000 1 0 0 0 0 1 0 -1 0 0.7500000 0.5000000 0.2500000 -1 0 0 0 0 -1 0 1 0 0.7500000 0.5000000 0.2500000""" class TestPureTrans(unittest.TestCase): """This is a test for new implementation of search_pure_translations in symmetry.c (ee97ad17) against a previous version. The order of symmetry operations found by this new implementation may be different from that obtained by the older version but the set must be the same in rotations and very close in translations. """ def setUp(self): cell = read_vasp_from_strings(Al222) self._sym_ops = get_symmetry(cell) rot = [] trans = [] for i, line in enumerate(sym_ops_str.split('\n')): arr = line.split() rot += [int(x) for x in arr[:9]] trans += [float(x) for x in arr[9:]] self._rot_ref = np.reshape(rot, (-1, 3, 3)) self._trans_ref = np.reshape(trans, (-1, 3)) def tearDown(self): pass def test_pure_trans(self): nums = [] for i, (r, t) in enumerate(zip(self._sym_ops['rotations'], self._sym_ops['translations'])): for j, (rr, tr) in enumerate(zip(self._rot_ref, self._trans_ref)): if (r == rr).all() and (np.abs(t - tr) < 1e-5).all(): nums.append(j) break np.testing.assert_array_equal(np.sort(nums), np.arange(len(self._rot_ref))) if __name__ == '__main__': suite = unittest.TestLoader().loadTestsFromTestCase(TestPureTrans) unittest.TextTestRunner(verbosity=2).run(suite) # unittest.main()
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ec5649d4013bb540239eb96b6bc996f8ef756bba
21,624
py
Python
videoapp/videoapp/spiders/qqtv.py
PyDee/Spiders
6fc0a414060032b5ba4332302285e3fcc9a6113e
[ "Apache-2.0" ]
6
2020-06-02T16:22:58.000Z
2021-09-18T03:20:16.000Z
videoapp/videoapp/spiders/qqtv.py
PyDee/Spiders
6fc0a414060032b5ba4332302285e3fcc9a6113e
[ "Apache-2.0" ]
4
2021-03-31T19:54:37.000Z
2022-03-12T00:33:41.000Z
videoapp/videoapp/spiders/qqtv.py
PyDee/Spiders
6fc0a414060032b5ba4332302285e3fcc9a6113e
[ "Apache-2.0" ]
5
2020-06-02T16:23:00.000Z
2021-09-03T02:16:15.000Z
# -*- coding: utf-8 -*- """ introduce:腾讯视频获取,播放量--评论数 """ import scrapy from scrapy import Request from ..items import QqItem class QqtvSpider(scrapy.Spider): # 防止多次添加start_urls flag = True name = 'qqtv' allowed_domains = ['v.qq.com'] # 设置开启请求个数,及等待时间 # custom_settings = { # 'CONCURRENT_REQUESTS': 3, # "DOWNLOAD_DELAY": 1, # } start_urls = [ # 电影 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=movie&listpage=2&offset=0&pagesize=30&sort=18&year=2020', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=movie&listpage=2&offset=30&pagesize=30&sort=18&year=2020', # 电视剧 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=0&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=30&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=60&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=90&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=120&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=150&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=180&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=210&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=240&pagesize=30&sort=18&year=50', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=tv&listpage=2&offset=270&pagesize=30&sort=18&year=50', # 动漫 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=cartoon&iyear=50&listpage=2&offset=0&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=cartoon&iyear=50&listpage=2&offset=30&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=cartoon&iyear=50&listpage=2&offset=60&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=cartoon&iyear=50&listpage=2&offset=90&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=cartoon&iyear=50&listpage=2&offset=120&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=cartoon&iyear=50&listpage=2&offset=150&pagesize=30&sort=18', # 综艺 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=variety&iyear=50&listpage=2&offset=0&pagesize=30&sort=4', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=variety&iyear=50&listpage=2&offset=30&pagesize=30&sort=4', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=variety&iyear=50&listpage=2&offset=60&pagesize=30&sort=4', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=variety&iyear=50&listpage=2&offset=90&pagesize=30&sort=4', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=variety&iyear=50&listpage=2&offset=120&pagesize=30&sort=4', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=variety&iyear=50&listpage=2&offset=150&pagesize=30&sort=4', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=variety&iyear=50&listpage=2&offset=180&pagesize=30&sort=4', # 纪录片 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=0&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=30&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=60&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=90&pagesize=30&sort=18', 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'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2370&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2400&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2430&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2460&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2490&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2520&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2550&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2580&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2610&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2640&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2670&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2700&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2730&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2760&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2790&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2820&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2850&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2880&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2910&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2940&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2970&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3000&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3030&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3060&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3090&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3120&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3150&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3180&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3210&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3240&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3270&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3300&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3330&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3360&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3390&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3420&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3450&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3480&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3510&pagesize=30&sort=18', 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=3540&pagesize=30&sort=18', ] # start_urls = [ # 'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=0&channel=variety&iyear=50&listpage=2&offset=90&pagesize=30&sort=4', # ] def parse(self, response): # page_count = len(response.xpath('//div[@class="mod_pages"]/button')[1:-1]) # if page_count > 1 and self.flag: # self.flag = False # for page_num in range(0, page_count): # page_url = response.url.replace('offset=0', 'offset={}'.format(page_num * 30)) # yield Request(page_url, self.parse, dont_filter=True, meta=response.meta) if 'channel=movie' in response.request.url: classify = 'movie' elif 'channel=tv' in response.request.url: classify = 'tv' elif 'channel=doco' in response.request.url: classify = 'doco' elif 'channel=cartoon' in response.request.url: classify = 'cartoon' elif 'channel=variety' in response.request.url: classify = 'variety' else: pass comment_count_url = 'https://v.qq.com/x/cover/{}.html' # print(response.text) video_list = response.xpath('//div[@class="list_item"]') for video in video_list: item = QqItem() item['platform'] = self.name item['classify'] = classify item['title'] = video.xpath('./a/@title').extract_first() item['data_float'] = video.xpath('./a/@data-float').extract_first() if item['classify'] == 'movie': item['play_count'] = video.xpath('./div[@class="figure_count"]/text()').extract_first() request_meta = response.meta request_meta['item'] = item yield Request(meta=request_meta, callback=self.comment_count, url=comment_count_url.format(item['data_float'])) def comment_count(self, response): """ 评论数 :param response: :return: """ item = response.meta['item'] if item['classify'] != 'movie': item['play_count'] = response.xpath('//em[@id="mod_cover_playnum"]/text()').extract_first() try: item['comment_count'] = response.xpath( '//div[@class="txp_comment_hot"]/@r-props').extract_first().strip('{number:').strip(';}') except: item['comment_count'] = None issued_date_url = 'https://v.qq.com' + response.xpath('//h2[@class="player_title"]/a/@href').extract_first() request_meta = response.meta request_meta['item'] = item yield Request(meta=request_meta, callback=self.issued_time, url=issued_date_url) def issued_time(self, response): """ 上映时间 :return: """ item = response.meta['item'] if item['classify'] == 'movie': item['issued_date'] = response.xpath( '//span[contains(text(),"上映时间")]/following-sibling::span[@class="type_txt"]/text()').extract_first() if item['classify'] == 'tv' or item['classify'] == 'cartoon': item['issued_date'] = response.xpath( '//span[contains(text(),"出品时间")]/following-sibling::span[@class="type_txt"]/text()').extract_first() if item['classify'] == 'variety': item['issued_date'] = response.xpath( '//span[contains(text(),"更新期数")]/following-sibling::span[@class="type_txt"]/text()').extract_first() if item['classify'] == 'doco': item['issued_date'] = response.xpath( '//span[contains(text(),"播出时间")]/following-sibling::span[@class="type_txt"]/text()').extract_first() yield item
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6baf11c3bcf3913469e6b887710d0e5f228763df
68,430
py
Python
sdk/python/pulumi_google_native/retail/v2alpha/outputs.py
AaronFriel/pulumi-google-native
75d1cda425e33d4610348972cd70bddf35f1770d
[ "Apache-2.0" ]
44
2021-04-18T23:00:48.000Z
2022-02-14T17:43:15.000Z
sdk/python/pulumi_google_native/retail/v2alpha/outputs.py
AaronFriel/pulumi-google-native
75d1cda425e33d4610348972cd70bddf35f1770d
[ "Apache-2.0" ]
354
2021-04-16T16:48:39.000Z
2022-03-31T17:16:39.000Z
sdk/python/pulumi_google_native/retail/v2alpha/outputs.py
AaronFriel/pulumi-google-native
75d1cda425e33d4610348972cd70bddf35f1770d
[ "Apache-2.0" ]
8
2021-04-24T17:46:51.000Z
2022-01-05T10:40:21.000Z
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** 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 from . import outputs from ._enums import * __all__ = [ 'GoogleCloudRetailV2alphaAudienceResponse', 'GoogleCloudRetailV2alphaColorInfoResponse', 'GoogleCloudRetailV2alphaFulfillmentInfoResponse', 'GoogleCloudRetailV2alphaImageResponse', 'GoogleCloudRetailV2alphaIntervalResponse', 'GoogleCloudRetailV2alphaPriceInfoPriceRangeResponse', 'GoogleCloudRetailV2alphaPriceInfoResponse', 'GoogleCloudRetailV2alphaProductResponse', 'GoogleCloudRetailV2alphaPromotionResponse', 'GoogleCloudRetailV2alphaRatingResponse', ] @pulumi.output_type class GoogleCloudRetailV2alphaAudienceResponse(dict): """ An intended audience of the Product for whom it's sold. """ @staticmethod def __key_warning(key: str): suggest = None if key == "ageGroups": suggest = "age_groups" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaAudienceResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaAudienceResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaAudienceResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, age_groups: Sequence[str], genders: Sequence[str]): """ An intended audience of the Product for whom it's sold. :param Sequence[str] age_groups: The age groups of the audience. Strongly encouraged to use the standard values: "newborn" (up to 3 months old), "infant" (3–12 months old), "toddler" (1–5 years old), "kids" (5–13 years old), "adult" (typically teens or older). At most 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [age_group](https://support.google.com/merchants/answer/6324463). Schema.org property [Product.audience.suggestedMinAge](https://schema.org/suggestedMinAge) and [Product.audience.suggestedMaxAge](https://schema.org/suggestedMaxAge). :param Sequence[str] genders: The genders of the audience. Strongly encouraged to use the standard values: "male", "female", "unisex". At most 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [gender](https://support.google.com/merchants/answer/6324479). Schema.org property [Product.audience.suggestedGender](https://schema.org/suggestedGender). """ pulumi.set(__self__, "age_groups", age_groups) pulumi.set(__self__, "genders", genders) @property @pulumi.getter(name="ageGroups") def age_groups(self) -> Sequence[str]: """ The age groups of the audience. Strongly encouraged to use the standard values: "newborn" (up to 3 months old), "infant" (3–12 months old), "toddler" (1–5 years old), "kids" (5–13 years old), "adult" (typically teens or older). At most 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [age_group](https://support.google.com/merchants/answer/6324463). Schema.org property [Product.audience.suggestedMinAge](https://schema.org/suggestedMinAge) and [Product.audience.suggestedMaxAge](https://schema.org/suggestedMaxAge). """ return pulumi.get(self, "age_groups") @property @pulumi.getter def genders(self) -> Sequence[str]: """ The genders of the audience. Strongly encouraged to use the standard values: "male", "female", "unisex". At most 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [gender](https://support.google.com/merchants/answer/6324479). Schema.org property [Product.audience.suggestedGender](https://schema.org/suggestedGender). """ return pulumi.get(self, "genders") @pulumi.output_type class GoogleCloudRetailV2alphaColorInfoResponse(dict): """ The color information of a Product. """ @staticmethod def __key_warning(key: str): suggest = None if key == "colorFamilies": suggest = "color_families" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaColorInfoResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaColorInfoResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaColorInfoResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, color_families: Sequence[str], colors: Sequence[str]): """ The color information of a Product. :param Sequence[str] color_families: The standard color families. Strongly recommended to use the following standard color groups: "Red", "Pink", "Orange", "Yellow", "Purple", "Green", "Cyan", "Blue", "Brown", "White", "Gray", "Black" and "Mixed". Normally it is expected to have only 1 color family. May consider using single "Mixed" instead of multiple values. A maximum of 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color). :param Sequence[str] colors: The color display names, which may be different from standard color family names, such as the color aliases used in the website frontend. Normally it is expected to have only 1 color. May consider using single "Mixed" instead of multiple values. A maximum of 25 colors are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color). """ pulumi.set(__self__, "color_families", color_families) pulumi.set(__self__, "colors", colors) @property @pulumi.getter(name="colorFamilies") def color_families(self) -> Sequence[str]: """ The standard color families. Strongly recommended to use the following standard color groups: "Red", "Pink", "Orange", "Yellow", "Purple", "Green", "Cyan", "Blue", "Brown", "White", "Gray", "Black" and "Mixed". Normally it is expected to have only 1 color family. May consider using single "Mixed" instead of multiple values. A maximum of 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color). """ return pulumi.get(self, "color_families") @property @pulumi.getter def colors(self) -> Sequence[str]: """ The color display names, which may be different from standard color family names, such as the color aliases used in the website frontend. Normally it is expected to have only 1 color. May consider using single "Mixed" instead of multiple values. A maximum of 25 colors are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color). """ return pulumi.get(self, "colors") @pulumi.output_type class GoogleCloudRetailV2alphaFulfillmentInfoResponse(dict): """ Fulfillment information, such as the store IDs for in-store pickup or region IDs for different shipping methods. """ @staticmethod def __key_warning(key: str): suggest = None if key == "placeIds": suggest = "place_ids" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaFulfillmentInfoResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaFulfillmentInfoResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaFulfillmentInfoResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, place_ids: Sequence[str], type: str): """ Fulfillment information, such as the store IDs for in-store pickup or region IDs for different shipping methods. :param Sequence[str] place_ids: The IDs for this type, such as the store IDs for FulfillmentInfo.type.pickup-in-store or the region IDs for FulfillmentInfo.type.same-day-delivery. A maximum of 3000 values are allowed. Each value must be a string with a length limit of 30 characters, matching the pattern `[a-zA-Z0-9_-]+`, such as "store1" or "REGION-2". Otherwise, an INVALID_ARGUMENT error is returned. :param str type: The fulfillment type, including commonly used types (such as pickup in store and same day delivery), and custom types. Customers have to map custom types to their display names before rendering UI. Supported values: * "pickup-in-store" * "ship-to-store" * "same-day-delivery" * "next-day-delivery" * "custom-type-1" * "custom-type-2" * "custom-type-3" * "custom-type-4" * "custom-type-5" If this field is set to an invalid value other than these, an INVALID_ARGUMENT error is returned. """ pulumi.set(__self__, "place_ids", place_ids) pulumi.set(__self__, "type", type) @property @pulumi.getter(name="placeIds") def place_ids(self) -> Sequence[str]: """ The IDs for this type, such as the store IDs for FulfillmentInfo.type.pickup-in-store or the region IDs for FulfillmentInfo.type.same-day-delivery. A maximum of 3000 values are allowed. Each value must be a string with a length limit of 30 characters, matching the pattern `[a-zA-Z0-9_-]+`, such as "store1" or "REGION-2". Otherwise, an INVALID_ARGUMENT error is returned. """ return pulumi.get(self, "place_ids") @property @pulumi.getter def type(self) -> str: """ The fulfillment type, including commonly used types (such as pickup in store and same day delivery), and custom types. Customers have to map custom types to their display names before rendering UI. Supported values: * "pickup-in-store" * "ship-to-store" * "same-day-delivery" * "next-day-delivery" * "custom-type-1" * "custom-type-2" * "custom-type-3" * "custom-type-4" * "custom-type-5" If this field is set to an invalid value other than these, an INVALID_ARGUMENT error is returned. """ return pulumi.get(self, "type") @pulumi.output_type class GoogleCloudRetailV2alphaImageResponse(dict): """ Product thumbnail/detail image. """ def __init__(__self__, *, height: int, uri: str, width: int): """ Product thumbnail/detail image. :param int height: Height of the image in number of pixels. This field must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned. :param str uri: URI of the image. This field must be a valid UTF-8 encoded URI with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [image_link](https://support.google.com/merchants/answer/6324350). Schema.org property [Product.image](https://schema.org/image). :param int width: Width of the image in number of pixels. This field must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned. """ pulumi.set(__self__, "height", height) pulumi.set(__self__, "uri", uri) pulumi.set(__self__, "width", width) @property @pulumi.getter def height(self) -> int: """ Height of the image in number of pixels. This field must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned. """ return pulumi.get(self, "height") @property @pulumi.getter def uri(self) -> str: """ URI of the image. This field must be a valid UTF-8 encoded URI with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [image_link](https://support.google.com/merchants/answer/6324350). Schema.org property [Product.image](https://schema.org/image). """ return pulumi.get(self, "uri") @property @pulumi.getter def width(self) -> int: """ Width of the image in number of pixels. This field must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned. """ return pulumi.get(self, "width") @pulumi.output_type class GoogleCloudRetailV2alphaIntervalResponse(dict): """ A floating point interval. """ @staticmethod def __key_warning(key: str): suggest = None if key == "exclusiveMaximum": suggest = "exclusive_maximum" elif key == "exclusiveMinimum": suggest = "exclusive_minimum" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaIntervalResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaIntervalResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaIntervalResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, exclusive_maximum: float, exclusive_minimum: float, maximum: float, minimum: float): """ A floating point interval. :param float exclusive_maximum: Exclusive upper bound. :param float exclusive_minimum: Exclusive lower bound. :param float maximum: Inclusive upper bound. :param float minimum: Inclusive lower bound. """ pulumi.set(__self__, "exclusive_maximum", exclusive_maximum) pulumi.set(__self__, "exclusive_minimum", exclusive_minimum) pulumi.set(__self__, "maximum", maximum) pulumi.set(__self__, "minimum", minimum) @property @pulumi.getter(name="exclusiveMaximum") def exclusive_maximum(self) -> float: """ Exclusive upper bound. """ return pulumi.get(self, "exclusive_maximum") @property @pulumi.getter(name="exclusiveMinimum") def exclusive_minimum(self) -> float: """ Exclusive lower bound. """ return pulumi.get(self, "exclusive_minimum") @property @pulumi.getter def maximum(self) -> float: """ Inclusive upper bound. """ return pulumi.get(self, "maximum") @property @pulumi.getter def minimum(self) -> float: """ Inclusive lower bound. """ return pulumi.get(self, "minimum") @pulumi.output_type class GoogleCloudRetailV2alphaPriceInfoPriceRangeResponse(dict): """ The price range of all variant Product having the same Product.primary_product_id. """ @staticmethod def __key_warning(key: str): suggest = None if key == "originalPrice": suggest = "original_price" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaPriceInfoPriceRangeResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaPriceInfoPriceRangeResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaPriceInfoPriceRangeResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, original_price: 'outputs.GoogleCloudRetailV2alphaIntervalResponse', price: 'outputs.GoogleCloudRetailV2alphaIntervalResponse'): """ The price range of all variant Product having the same Product.primary_product_id. :param 'GoogleCloudRetailV2alphaIntervalResponse' original_price: The inclusive Product.pricing_info.original_price internal of all variant Product having the same Product.primary_product_id. :param 'GoogleCloudRetailV2alphaIntervalResponse' price: The inclusive Product.pricing_info.price interval of all variant Product having the same Product.primary_product_id. """ pulumi.set(__self__, "original_price", original_price) pulumi.set(__self__, "price", price) @property @pulumi.getter(name="originalPrice") def original_price(self) -> 'outputs.GoogleCloudRetailV2alphaIntervalResponse': """ The inclusive Product.pricing_info.original_price internal of all variant Product having the same Product.primary_product_id. """ return pulumi.get(self, "original_price") @property @pulumi.getter def price(self) -> 'outputs.GoogleCloudRetailV2alphaIntervalResponse': """ The inclusive Product.pricing_info.price interval of all variant Product having the same Product.primary_product_id. """ return pulumi.get(self, "price") @pulumi.output_type class GoogleCloudRetailV2alphaPriceInfoResponse(dict): """ The price information of a Product. """ @staticmethod def __key_warning(key: str): suggest = None if key == "currencyCode": suggest = "currency_code" elif key == "originalPrice": suggest = "original_price" elif key == "priceEffectiveTime": suggest = "price_effective_time" elif key == "priceExpireTime": suggest = "price_expire_time" elif key == "priceRange": suggest = "price_range" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaPriceInfoResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaPriceInfoResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaPriceInfoResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, cost: float, currency_code: str, original_price: float, price: float, price_effective_time: str, price_expire_time: str, price_range: 'outputs.GoogleCloudRetailV2alphaPriceInfoPriceRangeResponse'): """ The price information of a Product. :param float cost: The costs associated with the sale of a particular product. Used for gross profit reporting. * Profit = price - cost Google Merchant Center property [cost_of_goods_sold](https://support.google.com/merchants/answer/9017895). :param str currency_code: The 3-letter currency code defined in [ISO 4217](https://www.iso.org/iso-4217-currency-codes.html). If this field is an unrecognizable currency code, an INVALID_ARGUMENT error is returned. The Product.Type.VARIANT Products with the same Product.primary_product_id must share the same currency_code. Otherwise, a FAILED_PRECONDITION error is returned. :param float original_price: Price of the product without any discount. If zero, by default set to be the price. :param float price: Price of the product. Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371). Schema.org property [Offer.price](https://schema.org/price). :param str price_effective_time: The timestamp when the price starts to be effective. This can be set as a future timestamp, and the price is only used for search after price_effective_time. If so, the original_price must be set and original_price is used before price_effective_time. Do not set if price is always effective because it will cause additional latency during search. :param str price_expire_time: The timestamp when the price stops to be effective. The price is used for search before price_expire_time. If this field is set, the original_price must be set and original_price is used after price_expire_time. Do not set if price is always effective because it will cause additional latency during search. :param 'GoogleCloudRetailV2alphaPriceInfoPriceRangeResponse' price_range: The price range of all the child Product.Type.VARIANT Products grouped together on the Product.Type.PRIMARY Product. Only populated for Product.Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests. """ pulumi.set(__self__, "cost", cost) pulumi.set(__self__, "currency_code", currency_code) pulumi.set(__self__, "original_price", original_price) pulumi.set(__self__, "price", price) pulumi.set(__self__, "price_effective_time", price_effective_time) pulumi.set(__self__, "price_expire_time", price_expire_time) pulumi.set(__self__, "price_range", price_range) @property @pulumi.getter def cost(self) -> float: """ The costs associated with the sale of a particular product. Used for gross profit reporting. * Profit = price - cost Google Merchant Center property [cost_of_goods_sold](https://support.google.com/merchants/answer/9017895). """ return pulumi.get(self, "cost") @property @pulumi.getter(name="currencyCode") def currency_code(self) -> str: """ The 3-letter currency code defined in [ISO 4217](https://www.iso.org/iso-4217-currency-codes.html). If this field is an unrecognizable currency code, an INVALID_ARGUMENT error is returned. The Product.Type.VARIANT Products with the same Product.primary_product_id must share the same currency_code. Otherwise, a FAILED_PRECONDITION error is returned. """ return pulumi.get(self, "currency_code") @property @pulumi.getter(name="originalPrice") def original_price(self) -> float: """ Price of the product without any discount. If zero, by default set to be the price. """ return pulumi.get(self, "original_price") @property @pulumi.getter def price(self) -> float: """ Price of the product. Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371). Schema.org property [Offer.price](https://schema.org/price). """ return pulumi.get(self, "price") @property @pulumi.getter(name="priceEffectiveTime") def price_effective_time(self) -> str: """ The timestamp when the price starts to be effective. This can be set as a future timestamp, and the price is only used for search after price_effective_time. If so, the original_price must be set and original_price is used before price_effective_time. Do not set if price is always effective because it will cause additional latency during search. """ return pulumi.get(self, "price_effective_time") @property @pulumi.getter(name="priceExpireTime") def price_expire_time(self) -> str: """ The timestamp when the price stops to be effective. The price is used for search before price_expire_time. If this field is set, the original_price must be set and original_price is used after price_expire_time. Do not set if price is always effective because it will cause additional latency during search. """ return pulumi.get(self, "price_expire_time") @property @pulumi.getter(name="priceRange") def price_range(self) -> 'outputs.GoogleCloudRetailV2alphaPriceInfoPriceRangeResponse': """ The price range of all the child Product.Type.VARIANT Products grouped together on the Product.Type.PRIMARY Product. Only populated for Product.Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests. """ return pulumi.get(self, "price_range") @pulumi.output_type class GoogleCloudRetailV2alphaProductResponse(dict): """ Product captures all metadata information of items to be recommended or searched. """ @staticmethod def __key_warning(key: str): suggest = None if key == "availableQuantity": suggest = "available_quantity" elif key == "availableTime": suggest = "available_time" elif key == "collectionMemberIds": suggest = "collection_member_ids" elif key == "colorInfo": suggest = "color_info" elif key == "expireTime": suggest = "expire_time" elif key == "fulfillmentInfo": suggest = "fulfillment_info" elif key == "languageCode": suggest = "language_code" elif key == "priceInfo": suggest = "price_info" elif key == "primaryProductId": suggest = "primary_product_id" elif key == "publishTime": suggest = "publish_time" elif key == "retrievableFields": suggest = "retrievable_fields" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaProductResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaProductResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaProductResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, attributes: Mapping[str, str], audience: 'outputs.GoogleCloudRetailV2alphaAudienceResponse', availability: str, available_quantity: int, available_time: str, brands: Sequence[str], categories: Sequence[str], collection_member_ids: Sequence[str], color_info: 'outputs.GoogleCloudRetailV2alphaColorInfoResponse', conditions: Sequence[str], description: str, expire_time: str, fulfillment_info: Sequence['outputs.GoogleCloudRetailV2alphaFulfillmentInfoResponse'], gtin: str, images: Sequence['outputs.GoogleCloudRetailV2alphaImageResponse'], language_code: str, materials: Sequence[str], name: str, patterns: Sequence[str], price_info: 'outputs.GoogleCloudRetailV2alphaPriceInfoResponse', primary_product_id: str, promotions: Sequence['outputs.GoogleCloudRetailV2alphaPromotionResponse'], publish_time: str, rating: 'outputs.GoogleCloudRetailV2alphaRatingResponse', retrievable_fields: str, sizes: Sequence[str], tags: Sequence[str], title: str, ttl: str, type: str, uri: str, variants: Sequence['outputs.GoogleCloudRetailV2alphaProductResponse']): """ Product captures all metadata information of items to be recommended or searched. :param Mapping[str, str] attributes: Highly encouraged. Extra product attributes to be included. For example, for products, this could include the store name, vendor, style, color, etc. These are very strong signals for recommendation model, thus we highly recommend providing the attributes here. Features that can take on one of a limited number of possible values. Two types of features can be set are: Textual features. some examples would be the brand/maker of a product, or country of a customer. Numerical features. Some examples would be the height/weight of a product, or age of a customer. For example: `{ "vendor": {"text": ["vendor123", "vendor456"]}, "lengths_cm": {"numbers":[2.3, 15.4]}, "heights_cm": {"numbers":[8.1, 6.4]} }`. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is returned: * Max entries count: 200. * The key must be a UTF-8 encoded string with a length limit of 128 characters. * For indexable attribute, the key must match the pattern: `a-zA-Z0-9*`. For example, `key0LikeThis` or `KEY_1_LIKE_THIS`. * For text attributes, at most 400 values are allowed. Empty values are not allowed. Each value must be a UTF-8 encoded string with a length limit of 256 characters. * For number attributes, at most 400 values are allowed. :param 'GoogleCloudRetailV2alphaAudienceResponse' audience: The target group associated with a given audience (e.g. male, veterans, car owners, musicians, etc.) of the product. :param str availability: The online availability of the Product. Default to Availability.IN_STOCK. Corresponding properties: Google Merchant Center property [availability](https://support.google.com/merchants/answer/6324448). Schema.org property [Offer.availability](https://schema.org/availability). :param int available_quantity: The available quantity of the item. :param str available_time: The timestamp when this Product becomes available for SearchService.Search. :param Sequence[str] brands: The brands of the product. A maximum of 30 brands are allowed. Each brand must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [brand](https://support.google.com/merchants/answer/6324351). Schema.org property [Product.brand](https://schema.org/brand). :param Sequence[str] categories: Product categories. This field is repeated for supporting one product belonging to several parallel categories. Strongly recommended using the full path for better search / recommendation quality. To represent full path of category, use '>' sign to separate different hierarchies. If '>' is part of the category name, please replace it with other character(s). For example, if a shoes product belongs to both ["Shoes & Accessories" -> "Shoes"] and ["Sports & Fitness" -> "Athletic Clothing" -> "Shoes"], it could be represented as: "categories": [ "Shoes & Accessories > Shoes", "Sports & Fitness > Athletic Clothing > Shoes" ] Must be set for Type.PRIMARY Product otherwise an INVALID_ARGUMENT error is returned. At most 250 values are allowed per Product. Empty values are not allowed. Each value must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property google_product_category. Schema.org property [Product.category] (https://schema.org/category). [mc_google_product_category]: https://support.google.com/merchants/answer/6324436 :param Sequence[str] collection_member_ids: The id of the collection members when type is Type.COLLECTION. Should not set it for other types. A maximum of 1000 values are allowed. Otherwise, an INVALID_ARGUMENT error is return. :param 'GoogleCloudRetailV2alphaColorInfoResponse' color_info: The color of the product. Corresponding properties: Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color). :param Sequence[str] conditions: The condition of the product. Strongly encouraged to use the standard values: "new", "refurbished", "used". A maximum of 5 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [condition](https://support.google.com/merchants/answer/6324469). Schema.org property [Offer.itemCondition](https://schema.org/itemCondition). :param str description: Product description. This field must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [description](https://support.google.com/merchants/answer/6324468). Schema.org property [Product.description](https://schema.org/description). :param str expire_time: The timestamp when this product becomes unavailable for SearchService.Search. If it is set, the Product is not available for SearchService.Search after expire_time. However, the product can still be retrieved by ProductService.GetProduct and ProductService.ListProducts. expire_time must be later than available_time and publish_time, otherwise an INVALID_ARGUMENT error is thrown. Corresponding properties: Google Merchant Center property [expiration_date](https://support.google.com/merchants/answer/6324499). :param Sequence['GoogleCloudRetailV2alphaFulfillmentInfoResponse'] fulfillment_info: Fulfillment information, such as the store IDs for in-store pickup or region IDs for different shipping methods. All the elements must have distinct FulfillmentInfo.type. Otherwise, an INVALID_ARGUMENT error is returned. :param str gtin: The Global Trade Item Number (GTIN) of the product. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. This field must be a Unigram. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [gtin](https://support.google.com/merchants/answer/6324461). Schema.org property [Product.isbn](https://schema.org/isbn), [Product.gtin8](https://schema.org/gtin8), [Product.gtin12](https://schema.org/gtin12), [Product.gtin13](https://schema.org/gtin13), or [Product.gtin14](https://schema.org/gtin14). If the value is not a valid GTIN, an INVALID_ARGUMENT error is returned. :param Sequence['GoogleCloudRetailV2alphaImageResponse'] images: Product images for the product.Highly recommended to put the main image to the first. A maximum of 300 images are allowed. Corresponding properties: Google Merchant Center property [image_link](https://support.google.com/merchants/answer/6324350). Schema.org property [Product.image](https://schema.org/image). :param str language_code: Language of the title/description and other string attributes. Use language tags defined by [BCP 47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). For product prediction, this field is ignored and the model automatically detects the text language. The Product can include text in different languages, but duplicating Products to provide text in multiple languages can result in degraded model performance. For product search this field is in use. It defaults to "en-US" if unset. :param Sequence[str] materials: The material of the product. For example, "leather", "wooden". A maximum of 20 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [material](https://support.google.com/merchants/answer/6324410). Schema.org property [Product.material](https://schema.org/material). :param str name: Immutable. Full resource name of the product, such as `projects/*/locations/global/catalogs/default_catalog/branches/default_branch/products/product_id`. :param Sequence[str] patterns: The pattern or graphic print of the product. For example, "striped", "polka dot", "paisley". A maximum of 20 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [pattern](https://support.google.com/merchants/answer/6324483). Schema.org property [Product.pattern](https://schema.org/pattern). :param 'GoogleCloudRetailV2alphaPriceInfoResponse' price_info: Product price and cost information. Corresponding properties: Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371). :param str primary_product_id: Variant group identifier. Must be an id, with the same parent branch with this product. Otherwise, an error is thrown. For Type.PRIMARY Products, this field can only be empty or set to the same value as id. For VARIANT Products, this field cannot be empty. A maximum of 2,000 products are allowed to share the same Type.PRIMARY Product. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [item_group_id](https://support.google.com/merchants/answer/6324507). Schema.org property [Product.inProductGroupWithID](https://schema.org/inProductGroupWithID). :param Sequence['GoogleCloudRetailV2alphaPromotionResponse'] promotions: The promotions applied to the product. A maximum of 10 values are allowed per Product. :param str publish_time: The timestamp when the product is published by the retailer for the first time, which indicates the freshness of the products. Note that this field is different from available_time, given it purely describes product freshness regardless of when it is available on search and recommendation. :param 'GoogleCloudRetailV2alphaRatingResponse' rating: The rating of this product. :param str retrievable_fields: Indicates which fields in the Products are returned in SearchResponse. Supported fields for all types: * audience * availability * brands * color_info * conditions * gtin * materials * name * patterns * price_info * rating * sizes * title * uri Supported fields only for Type.PRIMARY and Type.COLLECTION: * categories * description * images Supported fields only for Type.VARIANT: * Only the first image in images To mark attributes as retrievable, include paths of the form "attributes.key" where "key" is the key of a custom attribute, as specified in attributes. For Type.PRIMARY and Type.COLLECTION, the following fields are always returned in SearchResponse by default: * name For Type.VARIANT, the following fields are always returned in by default: * name * color_info Maximum number of paths is 30. Otherwise, an INVALID_ARGUMENT error is returned. Note: Returning more fields in SearchResponse may increase response payload size and serving latency. :param Sequence[str] sizes: The size of the product. To represent different size systems or size types, consider using this format: [[[size_system:]size_type:]size_value]. For example, in "US:MENS:M", "US" represents size system; "MENS" represents size type; "M" represents size value. In "GIRLS:27", size system is empty; "GIRLS" represents size type; "27" represents size value. In "32 inches", both size system and size type are empty, while size value is "32 inches". A maximum of 20 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [size](https://support.google.com/merchants/answer/6324492), [size_type](https://support.google.com/merchants/answer/6324497), and [size_system](https://support.google.com/merchants/answer/6324502). Schema.org property [Product.size](https://schema.org/size). :param Sequence[str] tags: Custom tags associated with the product. At most 250 values are allowed per Product. This value must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. This tag can be used for filtering recommendation results by passing the tag as part of the PredictRequest.filter. Corresponding properties: Google Merchant Center property [custom_label_0–4](https://support.google.com/merchants/answer/6324473). :param str title: Product title. This field must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [title](https://support.google.com/merchants/answer/6324415). Schema.org property [Product.name](https://schema.org/name). :param str ttl: Input only. The TTL (time to live) of the product. If it is set, it must be a non-negative value, and expire_time is set as current timestamp plus ttl. The derived expire_time is returned in the output and ttl is left blank when retrieving the Product. If it is set, the product is not available for SearchService.Search after current timestamp plus ttl. However, the product can still be retrieved by ProductService.GetProduct and ProductService.ListProducts. :param str type: Immutable. The type of the product. Default to Catalog.product_level_config.ingestion_product_type if unset. :param str uri: Canonical URL directly linking to the product detail page. It is strongly recommended to provide a valid uri for the product, otherwise the service performance could be significantly degraded. This field must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [link](https://support.google.com/merchants/answer/6324416). Schema.org property [Offer.url](https://schema.org/url). :param Sequence['GoogleCloudRetailV2alphaProductResponse'] variants: Product variants grouped together on primary product which share similar product attributes. It's automatically grouped by primary_product_id for all the product variants. Only populated for Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests. """ pulumi.set(__self__, "attributes", attributes) pulumi.set(__self__, "audience", audience) pulumi.set(__self__, "availability", availability) pulumi.set(__self__, "available_quantity", available_quantity) pulumi.set(__self__, "available_time", available_time) pulumi.set(__self__, "brands", brands) pulumi.set(__self__, "categories", categories) pulumi.set(__self__, "collection_member_ids", collection_member_ids) pulumi.set(__self__, "color_info", color_info) pulumi.set(__self__, "conditions", conditions) pulumi.set(__self__, "description", description) pulumi.set(__self__, "expire_time", expire_time) pulumi.set(__self__, "fulfillment_info", fulfillment_info) pulumi.set(__self__, "gtin", gtin) pulumi.set(__self__, "images", images) pulumi.set(__self__, "language_code", language_code) pulumi.set(__self__, "materials", materials) pulumi.set(__self__, "name", name) pulumi.set(__self__, "patterns", patterns) pulumi.set(__self__, "price_info", price_info) pulumi.set(__self__, "primary_product_id", primary_product_id) pulumi.set(__self__, "promotions", promotions) pulumi.set(__self__, "publish_time", publish_time) pulumi.set(__self__, "rating", rating) pulumi.set(__self__, "retrievable_fields", retrievable_fields) pulumi.set(__self__, "sizes", sizes) pulumi.set(__self__, "tags", tags) pulumi.set(__self__, "title", title) pulumi.set(__self__, "ttl", ttl) pulumi.set(__self__, "type", type) pulumi.set(__self__, "uri", uri) pulumi.set(__self__, "variants", variants) @property @pulumi.getter def attributes(self) -> Mapping[str, str]: """ Highly encouraged. Extra product attributes to be included. For example, for products, this could include the store name, vendor, style, color, etc. These are very strong signals for recommendation model, thus we highly recommend providing the attributes here. Features that can take on one of a limited number of possible values. Two types of features can be set are: Textual features. some examples would be the brand/maker of a product, or country of a customer. Numerical features. Some examples would be the height/weight of a product, or age of a customer. For example: `{ "vendor": {"text": ["vendor123", "vendor456"]}, "lengths_cm": {"numbers":[2.3, 15.4]}, "heights_cm": {"numbers":[8.1, 6.4]} }`. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is returned: * Max entries count: 200. * The key must be a UTF-8 encoded string with a length limit of 128 characters. * For indexable attribute, the key must match the pattern: `a-zA-Z0-9*`. For example, `key0LikeThis` or `KEY_1_LIKE_THIS`. * For text attributes, at most 400 values are allowed. Empty values are not allowed. Each value must be a UTF-8 encoded string with a length limit of 256 characters. * For number attributes, at most 400 values are allowed. """ return pulumi.get(self, "attributes") @property @pulumi.getter def audience(self) -> 'outputs.GoogleCloudRetailV2alphaAudienceResponse': """ The target group associated with a given audience (e.g. male, veterans, car owners, musicians, etc.) of the product. """ return pulumi.get(self, "audience") @property @pulumi.getter def availability(self) -> str: """ The online availability of the Product. Default to Availability.IN_STOCK. Corresponding properties: Google Merchant Center property [availability](https://support.google.com/merchants/answer/6324448). Schema.org property [Offer.availability](https://schema.org/availability). """ return pulumi.get(self, "availability") @property @pulumi.getter(name="availableQuantity") def available_quantity(self) -> int: """ The available quantity of the item. """ return pulumi.get(self, "available_quantity") @property @pulumi.getter(name="availableTime") def available_time(self) -> str: """ The timestamp when this Product becomes available for SearchService.Search. """ return pulumi.get(self, "available_time") @property @pulumi.getter def brands(self) -> Sequence[str]: """ The brands of the product. A maximum of 30 brands are allowed. Each brand must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [brand](https://support.google.com/merchants/answer/6324351). Schema.org property [Product.brand](https://schema.org/brand). """ return pulumi.get(self, "brands") @property @pulumi.getter def categories(self) -> Sequence[str]: """ Product categories. This field is repeated for supporting one product belonging to several parallel categories. Strongly recommended using the full path for better search / recommendation quality. To represent full path of category, use '>' sign to separate different hierarchies. If '>' is part of the category name, please replace it with other character(s). For example, if a shoes product belongs to both ["Shoes & Accessories" -> "Shoes"] and ["Sports & Fitness" -> "Athletic Clothing" -> "Shoes"], it could be represented as: "categories": [ "Shoes & Accessories > Shoes", "Sports & Fitness > Athletic Clothing > Shoes" ] Must be set for Type.PRIMARY Product otherwise an INVALID_ARGUMENT error is returned. At most 250 values are allowed per Product. Empty values are not allowed. Each value must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property google_product_category. Schema.org property [Product.category] (https://schema.org/category). [mc_google_product_category]: https://support.google.com/merchants/answer/6324436 """ return pulumi.get(self, "categories") @property @pulumi.getter(name="collectionMemberIds") def collection_member_ids(self) -> Sequence[str]: """ The id of the collection members when type is Type.COLLECTION. Should not set it for other types. A maximum of 1000 values are allowed. Otherwise, an INVALID_ARGUMENT error is return. """ return pulumi.get(self, "collection_member_ids") @property @pulumi.getter(name="colorInfo") def color_info(self) -> 'outputs.GoogleCloudRetailV2alphaColorInfoResponse': """ The color of the product. Corresponding properties: Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color). """ return pulumi.get(self, "color_info") @property @pulumi.getter def conditions(self) -> Sequence[str]: """ The condition of the product. Strongly encouraged to use the standard values: "new", "refurbished", "used". A maximum of 5 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [condition](https://support.google.com/merchants/answer/6324469). Schema.org property [Offer.itemCondition](https://schema.org/itemCondition). """ return pulumi.get(self, "conditions") @property @pulumi.getter def description(self) -> str: """ Product description. This field must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [description](https://support.google.com/merchants/answer/6324468). Schema.org property [Product.description](https://schema.org/description). """ return pulumi.get(self, "description") @property @pulumi.getter(name="expireTime") def expire_time(self) -> str: """ The timestamp when this product becomes unavailable for SearchService.Search. If it is set, the Product is not available for SearchService.Search after expire_time. However, the product can still be retrieved by ProductService.GetProduct and ProductService.ListProducts. expire_time must be later than available_time and publish_time, otherwise an INVALID_ARGUMENT error is thrown. Corresponding properties: Google Merchant Center property [expiration_date](https://support.google.com/merchants/answer/6324499). """ return pulumi.get(self, "expire_time") @property @pulumi.getter(name="fulfillmentInfo") def fulfillment_info(self) -> Sequence['outputs.GoogleCloudRetailV2alphaFulfillmentInfoResponse']: """ Fulfillment information, such as the store IDs for in-store pickup or region IDs for different shipping methods. All the elements must have distinct FulfillmentInfo.type. Otherwise, an INVALID_ARGUMENT error is returned. """ return pulumi.get(self, "fulfillment_info") @property @pulumi.getter def gtin(self) -> str: """ The Global Trade Item Number (GTIN) of the product. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. This field must be a Unigram. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [gtin](https://support.google.com/merchants/answer/6324461). Schema.org property [Product.isbn](https://schema.org/isbn), [Product.gtin8](https://schema.org/gtin8), [Product.gtin12](https://schema.org/gtin12), [Product.gtin13](https://schema.org/gtin13), or [Product.gtin14](https://schema.org/gtin14). If the value is not a valid GTIN, an INVALID_ARGUMENT error is returned. """ return pulumi.get(self, "gtin") @property @pulumi.getter def images(self) -> Sequence['outputs.GoogleCloudRetailV2alphaImageResponse']: """ Product images for the product.Highly recommended to put the main image to the first. A maximum of 300 images are allowed. Corresponding properties: Google Merchant Center property [image_link](https://support.google.com/merchants/answer/6324350). Schema.org property [Product.image](https://schema.org/image). """ return pulumi.get(self, "images") @property @pulumi.getter(name="languageCode") def language_code(self) -> str: """ Language of the title/description and other string attributes. Use language tags defined by [BCP 47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). For product prediction, this field is ignored and the model automatically detects the text language. The Product can include text in different languages, but duplicating Products to provide text in multiple languages can result in degraded model performance. For product search this field is in use. It defaults to "en-US" if unset. """ return pulumi.get(self, "language_code") @property @pulumi.getter def materials(self) -> Sequence[str]: """ The material of the product. For example, "leather", "wooden". A maximum of 20 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [material](https://support.google.com/merchants/answer/6324410). Schema.org property [Product.material](https://schema.org/material). """ return pulumi.get(self, "materials") @property @pulumi.getter def name(self) -> str: """ Immutable. Full resource name of the product, such as `projects/*/locations/global/catalogs/default_catalog/branches/default_branch/products/product_id`. """ return pulumi.get(self, "name") @property @pulumi.getter def patterns(self) -> Sequence[str]: """ The pattern or graphic print of the product. For example, "striped", "polka dot", "paisley". A maximum of 20 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [pattern](https://support.google.com/merchants/answer/6324483). Schema.org property [Product.pattern](https://schema.org/pattern). """ return pulumi.get(self, "patterns") @property @pulumi.getter(name="priceInfo") def price_info(self) -> 'outputs.GoogleCloudRetailV2alphaPriceInfoResponse': """ Product price and cost information. Corresponding properties: Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371). """ return pulumi.get(self, "price_info") @property @pulumi.getter(name="primaryProductId") def primary_product_id(self) -> str: """ Variant group identifier. Must be an id, with the same parent branch with this product. Otherwise, an error is thrown. For Type.PRIMARY Products, this field can only be empty or set to the same value as id. For VARIANT Products, this field cannot be empty. A maximum of 2,000 products are allowed to share the same Type.PRIMARY Product. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [item_group_id](https://support.google.com/merchants/answer/6324507). Schema.org property [Product.inProductGroupWithID](https://schema.org/inProductGroupWithID). """ return pulumi.get(self, "primary_product_id") @property @pulumi.getter def promotions(self) -> Sequence['outputs.GoogleCloudRetailV2alphaPromotionResponse']: """ The promotions applied to the product. A maximum of 10 values are allowed per Product. """ return pulumi.get(self, "promotions") @property @pulumi.getter(name="publishTime") def publish_time(self) -> str: """ The timestamp when the product is published by the retailer for the first time, which indicates the freshness of the products. Note that this field is different from available_time, given it purely describes product freshness regardless of when it is available on search and recommendation. """ return pulumi.get(self, "publish_time") @property @pulumi.getter def rating(self) -> 'outputs.GoogleCloudRetailV2alphaRatingResponse': """ The rating of this product. """ return pulumi.get(self, "rating") @property @pulumi.getter(name="retrievableFields") def retrievable_fields(self) -> str: """ Indicates which fields in the Products are returned in SearchResponse. Supported fields for all types: * audience * availability * brands * color_info * conditions * gtin * materials * name * patterns * price_info * rating * sizes * title * uri Supported fields only for Type.PRIMARY and Type.COLLECTION: * categories * description * images Supported fields only for Type.VARIANT: * Only the first image in images To mark attributes as retrievable, include paths of the form "attributes.key" where "key" is the key of a custom attribute, as specified in attributes. For Type.PRIMARY and Type.COLLECTION, the following fields are always returned in SearchResponse by default: * name For Type.VARIANT, the following fields are always returned in by default: * name * color_info Maximum number of paths is 30. Otherwise, an INVALID_ARGUMENT error is returned. Note: Returning more fields in SearchResponse may increase response payload size and serving latency. """ return pulumi.get(self, "retrievable_fields") @property @pulumi.getter def sizes(self) -> Sequence[str]: """ The size of the product. To represent different size systems or size types, consider using this format: [[[size_system:]size_type:]size_value]. For example, in "US:MENS:M", "US" represents size system; "MENS" represents size type; "M" represents size value. In "GIRLS:27", size system is empty; "GIRLS" represents size type; "27" represents size value. In "32 inches", both size system and size type are empty, while size value is "32 inches". A maximum of 20 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [size](https://support.google.com/merchants/answer/6324492), [size_type](https://support.google.com/merchants/answer/6324497), and [size_system](https://support.google.com/merchants/answer/6324502). Schema.org property [Product.size](https://schema.org/size). """ return pulumi.get(self, "sizes") @property @pulumi.getter def tags(self) -> Sequence[str]: """ Custom tags associated with the product. At most 250 values are allowed per Product. This value must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. This tag can be used for filtering recommendation results by passing the tag as part of the PredictRequest.filter. Corresponding properties: Google Merchant Center property [custom_label_0–4](https://support.google.com/merchants/answer/6324473). """ return pulumi.get(self, "tags") @property @pulumi.getter def title(self) -> str: """ Product title. This field must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [title](https://support.google.com/merchants/answer/6324415). Schema.org property [Product.name](https://schema.org/name). """ return pulumi.get(self, "title") @property @pulumi.getter def ttl(self) -> str: """ Input only. The TTL (time to live) of the product. If it is set, it must be a non-negative value, and expire_time is set as current timestamp plus ttl. The derived expire_time is returned in the output and ttl is left blank when retrieving the Product. If it is set, the product is not available for SearchService.Search after current timestamp plus ttl. However, the product can still be retrieved by ProductService.GetProduct and ProductService.ListProducts. """ return pulumi.get(self, "ttl") @property @pulumi.getter def type(self) -> str: """ Immutable. The type of the product. Default to Catalog.product_level_config.ingestion_product_type if unset. """ return pulumi.get(self, "type") @property @pulumi.getter def uri(self) -> str: """ Canonical URL directly linking to the product detail page. It is strongly recommended to provide a valid uri for the product, otherwise the service performance could be significantly degraded. This field must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [link](https://support.google.com/merchants/answer/6324416). Schema.org property [Offer.url](https://schema.org/url). """ return pulumi.get(self, "uri") @property @pulumi.getter def variants(self) -> Sequence['outputs.GoogleCloudRetailV2alphaProductResponse']: """ Product variants grouped together on primary product which share similar product attributes. It's automatically grouped by primary_product_id for all the product variants. Only populated for Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests. """ return pulumi.get(self, "variants") @pulumi.output_type class GoogleCloudRetailV2alphaPromotionResponse(dict): """ Promotion information. """ @staticmethod def __key_warning(key: str): suggest = None if key == "promotionId": suggest = "promotion_id" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaPromotionResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaPromotionResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaPromotionResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, promotion_id: str): """ Promotion information. :param str promotion_id: ID of the promotion. For example, "free gift". The value value must be a UTF-8 encoded string with a length limit of 128 characters, and match the pattern: `a-zA-Z*`. For example, id0LikeThis or ID_1_LIKE_THIS. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [promotion](https://support.google.com/merchants/answer/7050148). """ pulumi.set(__self__, "promotion_id", promotion_id) @property @pulumi.getter(name="promotionId") def promotion_id(self) -> str: """ ID of the promotion. For example, "free gift". The value value must be a UTF-8 encoded string with a length limit of 128 characters, and match the pattern: `a-zA-Z*`. For example, id0LikeThis or ID_1_LIKE_THIS. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [promotion](https://support.google.com/merchants/answer/7050148). """ return pulumi.get(self, "promotion_id") @pulumi.output_type class GoogleCloudRetailV2alphaRatingResponse(dict): """ The rating of a Product. """ @staticmethod def __key_warning(key: str): suggest = None if key == "averageRating": suggest = "average_rating" elif key == "ratingCount": suggest = "rating_count" elif key == "ratingHistogram": suggest = "rating_histogram" if suggest: pulumi.log.warn(f"Key '{key}' not found in GoogleCloudRetailV2alphaRatingResponse. Access the value via the '{suggest}' property getter instead.") def __getitem__(self, key: str) -> Any: GoogleCloudRetailV2alphaRatingResponse.__key_warning(key) return super().__getitem__(key) def get(self, key: str, default = None) -> Any: GoogleCloudRetailV2alphaRatingResponse.__key_warning(key) return super().get(key, default) def __init__(__self__, *, average_rating: float, rating_count: int, rating_histogram: Sequence[int]): """ The rating of a Product. :param float average_rating: The average rating of the Product. The rating is scaled at 1-5. Otherwise, an INVALID_ARGUMENT error is returned. :param int rating_count: The total number of ratings. This value is independent of the value of rating_histogram. This value must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned. :param Sequence[int] rating_histogram: List of rating counts per rating value (index = rating - 1). The list is empty if there is no rating. If the list is non-empty, its size is always 5. Otherwise, an INVALID_ARGUMENT error is returned. For example, [41, 14, 13, 47, 303]. It means that the Product got 41 ratings with 1 star, 14 ratings with 2 star, and so on. """ pulumi.set(__self__, "average_rating", average_rating) pulumi.set(__self__, "rating_count", rating_count) pulumi.set(__self__, "rating_histogram", rating_histogram) @property @pulumi.getter(name="averageRating") def average_rating(self) -> float: """ The average rating of the Product. The rating is scaled at 1-5. Otherwise, an INVALID_ARGUMENT error is returned. """ return pulumi.get(self, "average_rating") @property @pulumi.getter(name="ratingCount") def rating_count(self) -> int: """ The total number of ratings. This value is independent of the value of rating_histogram. This value must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned. """ return pulumi.get(self, "rating_count") @property @pulumi.getter(name="ratingHistogram") def rating_histogram(self) -> Sequence[int]: """ List of rating counts per rating value (index = rating - 1). The list is empty if there is no rating. If the list is non-empty, its size is always 5. Otherwise, an INVALID_ARGUMENT error is returned. For example, [41, 14, 13, 47, 303]. It means that the Product got 41 ratings with 1 star, 14 ratings with 2 star, and so on. """ return pulumi.get(self, "rating_histogram")
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6bbd919972a169f43da70fce8d19903edf491951
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py
Python
ypricemagic/interfaces/ERC20.py
nvy-0x/ypricemagic
f3209fceb24c38105499b952c1735c8d5e23ccfa
[ "MIT" ]
16
2021-07-09T06:11:34.000Z
2022-03-28T16:07:02.000Z
ypricemagic/interfaces/ERC20.py
nvy-0x/ypricemagic
f3209fceb24c38105499b952c1735c8d5e23ccfa
[ "MIT" ]
3
2021-09-10T19:14:23.000Z
2022-01-30T06:14:54.000Z
ypricemagic/interfaces/ERC20.py
nvy-0x/ypricemagic
f3209fceb24c38105499b952c1735c8d5e23ccfa
[ "MIT" ]
5
2021-09-04T01:50:51.000Z
2022-03-26T21:17:00.000Z
ERC20ABI = [{"inputs":[{"internalType":"uint256","name":"chainId_","type":"uint256"}],"payable":False,"stateMutability":"nonpayable","type":"constructor"},{"anonymous":False,"inputs":[{"indexed":True,"internalType":"address","name":"src","type":"address"},{"indexed":True,"internalType":"address","name":"guy","type":"address"},{"indexed":False,"internalType":"uint256","name":"wad","type":"uint256"}],"name":"Approval","type":"event"},{"anonymous":True,"inputs":[{"indexed":True,"internalType":"bytes4","name":"sig","type":"bytes4"},{"indexed":True,"internalType":"address","name":"usr","type":"address"},{"indexed":True,"internalType":"bytes32","name":"arg1","type":"bytes32"},{"indexed":True,"internalType":"bytes32","name":"arg2","type":"bytes32"},{"indexed":False,"internalType":"bytes","name":"data","type":"bytes"}],"name":"LogNote","type":"event"},{"anonymous":False,"inputs":[{"indexed":True,"internalType":"address","name":"src","type":"address"},{"indexed":True,"internalType":"address","name":"dst","type":"address"},{"indexed":False,"internalType":"uint256","name":"wad","type":"uint256"}],"name":"Transfer","type":"event"},{"constant":True,"inputs":[],"name":"DOMAIN_SEPARATOR","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"PERMIT_TYPEHASH","outputs":[{"internalType":"bytes32","name":"","type":"bytes32"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"internalType":"address","name":"","type":"address"},{"internalType":"address","name":"","type":"address"}],"name":"allowance","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"usr","type":"address"},{"internalType":"uint256","name":"wad","type":"uint256"}],"name":"approve","outputs":[{"internalType":"bool","name":"","type":"bool"}],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"internalType":"address","name":"","type":"address"}],"name":"balanceOf","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"usr","type":"address"},{"internalType":"uint256","name":"wad","type":"uint256"}],"name":"burn","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"decimals","outputs":[{"internalType":"uint8","name":"","type":"uint8"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"guy","type":"address"}],"name":"deny","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"usr","type":"address"},{"internalType":"uint256","name":"wad","type":"uint256"}],"name":"mint","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"src","type":"address"},{"internalType":"address","name":"dst","type":"address"},{"internalType":"uint256","name":"wad","type":"uint256"}],"name":"move","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"name","outputs":[{"internalType":"string","name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"internalType":"address","name":"","type":"address"}],"name":"nonces","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"holder","type":"address"},{"internalType":"address","name":"spender","type":"address"},{"internalType":"uint256","name":"nonce","type":"uint256"},{"internalType":"uint256","name":"expiry","type":"uint256"},{"internalType":"bool","name":"allowed","type":"bool"},{"internalType":"uint8","name":"v","type":"uint8"},{"internalType":"bytes32","name":"r","type":"bytes32"},{"internalType":"bytes32","name":"s","type":"bytes32"}],"name":"permit","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"usr","type":"address"},{"internalType":"uint256","name":"wad","type":"uint256"}],"name":"pull","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"usr","type":"address"},{"internalType":"uint256","name":"wad","type":"uint256"}],"name":"push","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"guy","type":"address"}],"name":"rely","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"symbol","outputs":[{"internalType":"string","name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"totalSupply","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"dst","type":"address"},{"internalType":"uint256","name":"wad","type":"uint256"}],"name":"transfer","outputs":[{"internalType":"bool","name":"","type":"bool"}],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"internalType":"address","name":"src","type":"address"},{"internalType":"address","name":"dst","type":"address"},{"internalType":"uint256","name":"wad","type":"uint256"}],"name":"transferFrom","outputs":[{"internalType":"bool","name":"","type":"bool"}],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"version","outputs":[{"internalType":"string","name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"internalType":"address","name":"","type":"address"}],"name":"wards","outputs":[{"internalType":"uint256","name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"}]
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d41e4fea425be8a70a17e2e685e845bb95091cf7
6,545
py
Python
loldib/getratings/models/NA/na_yorick/na_yorick_jng.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
loldib/getratings/models/NA/na_yorick/na_yorick_jng.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
loldib/getratings/models/NA/na_yorick/na_yorick_jng.py
koliupy/loldib
c9ab94deb07213cdc42b5a7c26467cdafaf81b7f
[ "Apache-2.0" ]
null
null
null
from getratings.models.ratings import Ratings class NA_Yorick_Jng_Aatrox(Ratings): pass class NA_Yorick_Jng_Ahri(Ratings): pass class NA_Yorick_Jng_Akali(Ratings): pass class NA_Yorick_Jng_Alistar(Ratings): pass class NA_Yorick_Jng_Amumu(Ratings): pass class NA_Yorick_Jng_Anivia(Ratings): pass class NA_Yorick_Jng_Annie(Ratings): pass class NA_Yorick_Jng_Ashe(Ratings): pass class NA_Yorick_Jng_AurelionSol(Ratings): pass class NA_Yorick_Jng_Azir(Ratings): pass class NA_Yorick_Jng_Bard(Ratings): pass class NA_Yorick_Jng_Blitzcrank(Ratings): pass class NA_Yorick_Jng_Brand(Ratings): pass class NA_Yorick_Jng_Braum(Ratings): pass class NA_Yorick_Jng_Caitlyn(Ratings): pass class NA_Yorick_Jng_Camille(Ratings): pass class NA_Yorick_Jng_Cassiopeia(Ratings): pass class NA_Yorick_Jng_Chogath(Ratings): pass class NA_Yorick_Jng_Corki(Ratings): pass class NA_Yorick_Jng_Darius(Ratings): pass class NA_Yorick_Jng_Diana(Ratings): pass class NA_Yorick_Jng_Draven(Ratings): pass class NA_Yorick_Jng_DrMundo(Ratings): pass class NA_Yorick_Jng_Ekko(Ratings): pass class NA_Yorick_Jng_Elise(Ratings): pass class NA_Yorick_Jng_Evelynn(Ratings): pass class NA_Yorick_Jng_Ezreal(Ratings): pass class NA_Yorick_Jng_Fiddlesticks(Ratings): pass class NA_Yorick_Jng_Fiora(Ratings): pass class NA_Yorick_Jng_Fizz(Ratings): pass class NA_Yorick_Jng_Galio(Ratings): pass class NA_Yorick_Jng_Gangplank(Ratings): pass class NA_Yorick_Jng_Garen(Ratings): pass class NA_Yorick_Jng_Gnar(Ratings): pass class NA_Yorick_Jng_Gragas(Ratings): pass class NA_Yorick_Jng_Graves(Ratings): pass class NA_Yorick_Jng_Hecarim(Ratings): pass class NA_Yorick_Jng_Heimerdinger(Ratings): pass class NA_Yorick_Jng_Illaoi(Ratings): pass class NA_Yorick_Jng_Irelia(Ratings): pass class NA_Yorick_Jng_Ivern(Ratings): pass class NA_Yorick_Jng_Janna(Ratings): pass class NA_Yorick_Jng_JarvanIV(Ratings): pass class NA_Yorick_Jng_Jax(Ratings): pass class NA_Yorick_Jng_Jayce(Ratings): pass class NA_Yorick_Jng_Jhin(Ratings): pass class NA_Yorick_Jng_Jinx(Ratings): pass class NA_Yorick_Jng_Kalista(Ratings): pass class NA_Yorick_Jng_Karma(Ratings): pass class NA_Yorick_Jng_Karthus(Ratings): pass class NA_Yorick_Jng_Kassadin(Ratings): pass class NA_Yorick_Jng_Katarina(Ratings): pass class NA_Yorick_Jng_Kayle(Ratings): pass class NA_Yorick_Jng_Kayn(Ratings): pass class NA_Yorick_Jng_Kennen(Ratings): pass class NA_Yorick_Jng_Khazix(Ratings): pass class NA_Yorick_Jng_Kindred(Ratings): pass class NA_Yorick_Jng_Kled(Ratings): pass class NA_Yorick_Jng_KogMaw(Ratings): pass class NA_Yorick_Jng_Leblanc(Ratings): pass class NA_Yorick_Jng_LeeSin(Ratings): pass class NA_Yorick_Jng_Leona(Ratings): pass class NA_Yorick_Jng_Lissandra(Ratings): pass class NA_Yorick_Jng_Lucian(Ratings): pass class NA_Yorick_Jng_Lulu(Ratings): pass class NA_Yorick_Jng_Lux(Ratings): pass class NA_Yorick_Jng_Malphite(Ratings): pass class NA_Yorick_Jng_Malzahar(Ratings): pass class NA_Yorick_Jng_Maokai(Ratings): pass class NA_Yorick_Jng_MasterYi(Ratings): pass class NA_Yorick_Jng_MissFortune(Ratings): pass class NA_Yorick_Jng_MonkeyKing(Ratings): pass class NA_Yorick_Jng_Mordekaiser(Ratings): pass class NA_Yorick_Jng_Morgana(Ratings): pass class NA_Yorick_Jng_Nami(Ratings): pass class NA_Yorick_Jng_Nasus(Ratings): pass class NA_Yorick_Jng_Nautilus(Ratings): pass class NA_Yorick_Jng_Nidalee(Ratings): pass class NA_Yorick_Jng_Nocturne(Ratings): pass class NA_Yorick_Jng_Nunu(Ratings): pass class NA_Yorick_Jng_Olaf(Ratings): pass class NA_Yorick_Jng_Orianna(Ratings): pass class NA_Yorick_Jng_Ornn(Ratings): pass class NA_Yorick_Jng_Pantheon(Ratings): pass class NA_Yorick_Jng_Poppy(Ratings): pass class NA_Yorick_Jng_Quinn(Ratings): pass class NA_Yorick_Jng_Rakan(Ratings): pass class NA_Yorick_Jng_Rammus(Ratings): pass class NA_Yorick_Jng_RekSai(Ratings): pass class NA_Yorick_Jng_Renekton(Ratings): pass class NA_Yorick_Jng_Rengar(Ratings): pass class NA_Yorick_Jng_Riven(Ratings): pass class NA_Yorick_Jng_Rumble(Ratings): pass class NA_Yorick_Jng_Ryze(Ratings): pass class NA_Yorick_Jng_Sejuani(Ratings): pass class NA_Yorick_Jng_Shaco(Ratings): pass class NA_Yorick_Jng_Shen(Ratings): pass class NA_Yorick_Jng_Shyvana(Ratings): pass class NA_Yorick_Jng_Singed(Ratings): pass class NA_Yorick_Jng_Sion(Ratings): pass class NA_Yorick_Jng_Sivir(Ratings): pass class NA_Yorick_Jng_Skarner(Ratings): pass class NA_Yorick_Jng_Sona(Ratings): pass class NA_Yorick_Jng_Soraka(Ratings): pass class NA_Yorick_Jng_Swain(Ratings): pass class NA_Yorick_Jng_Syndra(Ratings): pass class NA_Yorick_Jng_TahmKench(Ratings): pass class NA_Yorick_Jng_Taliyah(Ratings): pass class NA_Yorick_Jng_Talon(Ratings): pass class NA_Yorick_Jng_Taric(Ratings): pass class NA_Yorick_Jng_Teemo(Ratings): pass class NA_Yorick_Jng_Thresh(Ratings): pass class NA_Yorick_Jng_Tristana(Ratings): pass class NA_Yorick_Jng_Trundle(Ratings): pass class NA_Yorick_Jng_Tryndamere(Ratings): pass class NA_Yorick_Jng_TwistedFate(Ratings): pass class NA_Yorick_Jng_Twitch(Ratings): pass class NA_Yorick_Jng_Udyr(Ratings): pass class NA_Yorick_Jng_Urgot(Ratings): pass class NA_Yorick_Jng_Varus(Ratings): pass class NA_Yorick_Jng_Vayne(Ratings): pass class NA_Yorick_Jng_Veigar(Ratings): pass class NA_Yorick_Jng_Velkoz(Ratings): pass class NA_Yorick_Jng_Vi(Ratings): pass class NA_Yorick_Jng_Viktor(Ratings): pass class NA_Yorick_Jng_Vladimir(Ratings): pass class NA_Yorick_Jng_Volibear(Ratings): pass class NA_Yorick_Jng_Warwick(Ratings): pass class NA_Yorick_Jng_Xayah(Ratings): pass class NA_Yorick_Jng_Xerath(Ratings): pass class NA_Yorick_Jng_XinZhao(Ratings): pass class NA_Yorick_Jng_Yasuo(Ratings): pass class NA_Yorick_Jng_Yorick(Ratings): pass class NA_Yorick_Jng_Zac(Ratings): pass class NA_Yorick_Jng_Zed(Ratings): pass class NA_Yorick_Jng_Ziggs(Ratings): pass class NA_Yorick_Jng_Zilean(Ratings): pass class NA_Yorick_Jng_Zyra(Ratings): pass
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0.479583
0.803432
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0
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8
d444d9b590bc969e50df033012f3e7d565a100e2
8,099
py
Python
envs/__init__.py
ondrejba/c-swm
339959faf0cbbde291e77d515f4e1188fe5f66e6
[ "MIT" ]
1
2021-03-02T21:08:57.000Z
2021-03-02T21:08:57.000Z
envs/__init__.py
ondrejba/c-swm
339959faf0cbbde291e77d515f4e1188fe5f66e6
[ "MIT" ]
null
null
null
envs/__init__.py
ondrejba/c-swm
339959faf0cbbde291e77d515f4e1188fe5f66e6
[ "MIT" ]
1
2020-12-20T16:11:30.000Z
2020-12-20T16:11:30.000Z
from gym.envs.registration import register from envs.block_pushing import BlockPushing register( 'ShapesTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'shapes'}, ) register( 'ShapesEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'shapes'}, ) register( 'ShapesBgRandomTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'shapes', 'background': BlockPushing.BACKGROUND_RANDOM}, ) register( 'ShapesBgRandomEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'shapes', 'background': BlockPushing.BACKGROUND_RANDOM}, ) register( 'ShapesBgSameEpTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'shapes', 'background': BlockPushing.BACKGROUND_RANDOM_SAME_EP}, ) register( 'ShapesBgSameEpEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'shapes', 'background': BlockPushing.BACKGROUND_RANDOM_SAME_EP}, ) register( 'ShapesBgDeterministicTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'shapes', 'background': BlockPushing.BACKGROUND_DETERMINISTIC}, ) register( 'ShapesBgDeterministicEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'shapes', 'background': BlockPushing.BACKGROUND_DETERMINISTIC}, ) register( 'ShapesCursorTrain-v0', entry_point='envs.block_pushing_cursor:BlockPushingCursor', max_episode_steps=100, kwargs={'render_type': 'shapes'}, ) register( 'ShapesCursorEval-v0', entry_point='envs.block_pushing_cursor:BlockPushingCursor', max_episode_steps=10, kwargs={'render_type': 'shapes'}, ) register( 'ShapesImmovableTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'shapes', 'immovable': True}, ) register( 'ShapesImmovableEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'shapes', 'immovable': True}, ) register( 'ShapesOppositeTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'shapes', 'opposite_direction': True}, ) register( 'ShapesOppositeEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'shapes', 'opposite_direction': True}, ) register( 'ShapesImmovableFixedTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'shapes', 'immovable': True, 'immovable_fixed': True}, ) register( 'ShapesImmovableFixedEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'shapes', 'immovable': True, 'immovable_fixed': True}, ) register( 'ShapesCursorImmovableTrain-v0', entry_point='envs.block_pushing_cursor:BlockPushingCursor', max_episode_steps=100, kwargs={'render_type': 'shapes', 'immovable': True}, ) register( 'ShapesCursorImmovableEval-v0', entry_point='envs.block_pushing_cursor:BlockPushingCursor', max_episode_steps=10, kwargs={'render_type': 'shapes', 'immovable': True}, ) register( 'ShapesMetricO3C1Train-v0', entry_point='envs.block_pushing_metric:BlockPushingMetric', max_episode_steps=100, kwargs={'render_type': 'shapes', 'num_objects': 3, 'num_colors': 1}, ) register( 'ShapesMetricO3C1Eval-v0', entry_point='envs.block_pushing_metric:BlockPushingMetric', max_episode_steps=10, kwargs={'render_type': 'shapes', 'num_objects': 3, 'num_colors': 1}, ) register( 'ShapesMetricO3C2Train-v0', entry_point='envs.block_pushing_metric:BlockPushingMetric', max_episode_steps=100, kwargs={'render_type': 'shapes', 'num_objects': 3, 'num_colors': 2, 'background': BlockPushing.BACKGROUND_DETERMINISTIC}, ) register( 'ShapesMetricO3C2Eval-v0', entry_point='envs.block_pushing_metric:BlockPushingMetric', max_episode_steps=10, kwargs={'render_type': 'shapes', 'num_objects': 3, 'num_colors': 2, 'background': BlockPushing.BACKGROUND_DETERMINISTIC}, ) register( 'ShapesMetricO2C1Train-v0', entry_point='envs.block_pushing_metric:BlockPushingMetric', max_episode_steps=100, kwargs={'render_type': 'shapes', 'num_objects': 2, 'num_colors': 1}, ) register( 'ShapesMetricO2C1Eval-v0', entry_point='envs.block_pushing_metric:BlockPushingMetric', max_episode_steps=10, kwargs={'render_type': 'shapes', 'num_objects': 2, 'num_colors': 1}, ) register( 'ShapesMetricO2C5Train-v0', entry_point='envs.block_pushing_metric:BlockPushingMetric', max_episode_steps=100, kwargs={'render_type': 'shapes', 'num_objects': 2, 'num_colors': 5, 'background': BlockPushing.BACKGROUND_DETERMINISTIC}, ) register( 'ShapesMetricO2C5Eval-v0', entry_point='envs.block_pushing_metric:BlockPushingMetric', max_episode_steps=10, kwargs={'render_type': 'shapes', 'num_objects': 2, 'num_colors': 5, 'background': BlockPushing.BACKGROUND_DETERMINISTIC}, ) register( 'ShapesSameCursorTrain-v0', entry_point='envs.block_pushing_cursor:BlockPushingCursor', max_episode_steps=100, kwargs={'render_type': 'shapes', 'same_shape_and_color': True}, ) register( 'ShapesSameCursorEval-v0', entry_point='envs.block_pushing_cursor:BlockPushingCursor', max_episode_steps=10, kwargs={'render_type': 'shapes', 'same_shape_and_color': True}, ) register( 'CubesTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'cubes'}, ) register( 'CubesEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'cubes'}, ) register( 'CubesBgRandomTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'cubes', 'background': BlockPushing.BACKGROUND_RANDOM}, ) register( 'CubesBgRandomEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'cubes', 'background': BlockPushing.BACKGROUND_RANDOM}, ) register( 'CubesBgSameEpTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'cubes', 'background': BlockPushing.BACKGROUND_RANDOM_SAME_EP}, ) register( 'CubesBgSameEpEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'cubes', 'background': BlockPushing.BACKGROUND_RANDOM_SAME_EP}, ) register( 'CubesBgDeterministicTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'cubes', 'background': BlockPushing.BACKGROUND_DETERMINISTIC}, ) register( 'CubesBgDeterministicEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'cubes', 'background': BlockPushing.BACKGROUND_DETERMINISTIC}, ) register( 'CubesCursorTrain-v0', entry_point='envs.block_pushing_cursor:BlockPushingCursor', max_episode_steps=100, kwargs={'render_type': 'cubes'}, ) register( 'CubesCursorEval-v0', entry_point='envs.block_pushing_cursor:BlockPushingCursor', max_episode_steps=10, kwargs={'render_type': 'cubes'}, ) register( 'CubesImmovableTrain-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=100, kwargs={'render_type': 'cubes', 'immovable': True}, ) register( 'CubesImmovableEval-v0', entry_point='envs.block_pushing:BlockPushing', max_episode_steps=10, kwargs={'render_type': 'cubes', 'immovable': True}, )
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0.846992
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0.84235
0.831994
0.798072
0
0.024603
0.136807
8,099
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2e478aba15fe2189c8ecf32abc74be31b9658f56
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py
Python
tensorbox/algorithms/__init__.py
SvenGronauer/tensorbox
8ca0da9a8fe345572bccdbda55bcd75f1bc1b28c
[ "MIT" ]
null
null
null
tensorbox/algorithms/__init__.py
SvenGronauer/tensorbox
8ca0da9a8fe345572bccdbda55bcd75f1bc1b28c
[ "MIT" ]
null
null
null
tensorbox/algorithms/__init__.py
SvenGronauer/tensorbox
8ca0da9a8fe345572bccdbda55bcd75f1bc1b28c
[ "MIT" ]
null
null
null
from tensorbox.algorithms.dqn.trainer import DQNTrainer from tensorbox.algorithms.ppo.trainer import PPOTrainer
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cf82e078237dfa672330d60e98cd8088b622bf8d
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py
Python
Legal/migrations/0001_initial.py
domambia/csdigital-gs1kenya-internal-erp
6736d0e9a3a51653689f8ae921cf811f378d9d8e
[ "MIT" ]
12
2019-08-02T07:58:16.000Z
2022-01-31T23:45:08.000Z
Legal/migrations/0001_initial.py
domambia/csdigital-gs1kenya-internal-erp
6736d0e9a3a51653689f8ae921cf811f378d9d8e
[ "MIT" ]
8
2019-08-02T08:06:18.000Z
2022-03-11T23:45:17.000Z
Legal/migrations/0001_initial.py
domambia/csdigital-gs1kenya-internal-erp
6736d0e9a3a51653689f8ae921cf811f378d9d8e
[ "MIT" ]
11
2019-07-31T16:23:36.000Z
2022-01-29T08:30:07.000Z
# Generated by Django 2.1.5 on 2019-04-09 09:55 import Legal.models import datetime from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Category', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=300)), ('description', models.CharField(max_length=1000)), ('status', models.IntegerField(default=0)), ], ), migrations.CreateModel( name='Contract', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=1000)), ('dofsigning', models.DateField(default=datetime.datetime.now)), ('doflasping', models.DateField(default=datetime.datetime.now)), ('document', models.FileField(blank=True, upload_to=Legal.models.UploadFolder('documents/legal'))), ('description', models.CharField(max_length=1000)), ('status', models.IntegerField(default=0)), ], ), migrations.CreateModel( name='GS1Docs', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('description', models.CharField(max_length=1000)), ('dated', models.DateField(default=datetime.datetime.now)), ('documents', models.FileField(blank=True, upload_to=Legal.models.UploadFolder('documents/legal'))), ('status', models.IntegerField(default=0)), ], ), migrations.CreateModel( name='Letter', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('description', models.CharField(max_length=1000)), ('dated', models.DateField(default=datetime.datetime.now)), ('documents', models.FileField(blank=True, upload_to=Legal.models.UploadFolder('documents/legal'))), ('status', models.IntegerField(default=0)), ], ), ]
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d850b4fd48dafcc122027b528016942d936f8476
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py
Python
test/utils/interfaces_test.py
kieransukachevin/AlkalinityTitrator
09b642ee1368278b7b4fc180bed50ff538a0938a
[ "MIT" ]
null
null
null
test/utils/interfaces_test.py
kieransukachevin/AlkalinityTitrator
09b642ee1368278b7b4fc180bed50ff538a0938a
[ "MIT" ]
31
2021-06-29T17:53:56.000Z
2021-08-19T21:59:03.000Z
test/utils/interfaces_test.py
kieransukachevin/AlkalinityTitrator
09b642ee1368278b7b4fc180bed50ff538a0938a
[ "MIT" ]
4
2021-02-12T23:21:17.000Z
2021-11-15T16:55:38.000Z
""" This test file is primarily to test the ability to import from the titration package """ # from titration import utils from titration.utils import constants, interfaces def setup_module(module): constants.IS_TEST = True interfaces.setup_module_classes() interfaces.ui_lcd = interfaces.setup_lcd() interfaces.stir_controller = interfaces.setup_stir_control(debug=True) def test_interfaces_lcd(capsys): # flush stdout _ = capsys.readouterr() interfaces.lcd_out("Test string", 1, constants.LCD_LEFT_JUST) captured = capsys.readouterr() assert captured.out == ( "*====================*\n" + "|Test string |\n" + "| |\n" + "| |\n" + "| |\n" + "*====================*\n" ) def test_interfaces_stir_fast(capsys): _ = capsys.readouterr() interfaces.stir_speed_fast() captured = capsys.readouterr() assert captured.out == ( "Stirrer set to 1000\n" + "Stirrer set to 1100\n" + "Stirrer set to 1200\n" + "Stirrer set to 1300\n" + "Stirrer set to 1400\n" + "Stirrer set to 1500\n" + "Stirrer set to 1600\n" + "Stirrer set to 1700\n" + "Stirrer set to 1800\n" + "Stirrer set to 1900\n" + "Stirrer set to 2000\n" + "Stirrer set to 2100\n" + "Stirrer set to 2200\n" + "Stirrer set to 2300\n" + "Stirrer set to 2400\n" + "Stirrer set to 2500\n" + "Stirrer set to 2600\n" + "Stirrer set to 2700\n" + "Stirrer set to 2800\n" + "Stirrer set to 2900\n" + "Stirrer set to 3000\n" + "Stirrer set to 3100\n" + "Stirrer set to 3200\n" + "Stirrer set to 3300\n" + "Stirrer set to 3400\n" + "Stirrer set to 3500\n" + "Stirrer set to 3600\n" + "Stirrer set to 3700\n" + "Stirrer set to 3800\n" + "Stirrer set to 3900\n" + "Stirrer set to 4000\n" + "Stirrer set to 4100\n" + "Stirrer set to 4200\n" + "Stirrer set to 4300\n" + "Stirrer set to 4400\n" + "Stirrer set to 4500\n" + "Stirrer set to 4600\n" + "Stirrer set to 4700\n" + "Stirrer set to 4800\n" + "Stirrer set to 4900\n" + "Stirrer set to 5000\n" ) interfaces.stir_stop() captured = capsys.readouterr() assert captured.out == ("Stirrer set to 0\n") def test_interfaces_stir_slow(capsys): _ = capsys.readouterr() interfaces.stir_speed_slow() captured = capsys.readouterr() assert captured.out == ( "Stirrer set to 1000\n" + "Stirrer set to 1100\n" + "Stirrer set to 1200\n" + "Stirrer set to 1300\n" + "Stirrer set to 1400\n" + "Stirrer set to 1500\n" + "Stirrer set to 1600\n" + "Stirrer set to 1700\n" + "Stirrer set to 1800\n" + "Stirrer set to 1900\n" + "Stirrer set to 2000\n" + "Stirrer set to 2100\n" + "Stirrer set to 2200\n" + "Stirrer set to 2300\n" + "Stirrer set to 2400\n" + "Stirrer set to 2500\n" + "Stirrer set to 2600\n" + "Stirrer set to 2700\n" + "Stirrer set to 2800\n" + "Stirrer set to 2900\n" + "Stirrer set to 3000\n" ) interfaces.stir_stop() captured = capsys.readouterr() assert captured.out == ("Stirrer set to 0\n") def test_interfaces_stir_set(capsys): _ = capsys.readouterr() interfaces.stir_speed(5000, gradual=True) captured = capsys.readouterr() assert captured.out == ( "Stirrer set to 1000\n" + "Stirrer set to 1100\n" + "Stirrer set to 1200\n" + "Stirrer set to 1300\n" + "Stirrer set to 1400\n" + "Stirrer set to 1500\n" + "Stirrer set to 1600\n" + "Stirrer set to 1700\n" + "Stirrer set to 1800\n" + "Stirrer set to 1900\n" + "Stirrer set to 2000\n" + "Stirrer set to 2100\n" + "Stirrer set to 2200\n" + "Stirrer set to 2300\n" + "Stirrer set to 2400\n" + "Stirrer set to 2500\n" + "Stirrer set to 2600\n" + "Stirrer set to 2700\n" + "Stirrer set to 2800\n" + "Stirrer set to 2900\n" + "Stirrer set to 3000\n" + "Stirrer set to 3100\n" + "Stirrer set to 3200\n" + "Stirrer set to 3300\n" + "Stirrer set to 3400\n" + "Stirrer set to 3500\n" + "Stirrer set to 3600\n" + "Stirrer set to 3700\n" + "Stirrer set to 3800\n" + "Stirrer set to 3900\n" + "Stirrer set to 4000\n" + "Stirrer set to 4100\n" + "Stirrer set to 4200\n" + "Stirrer set to 4300\n" + "Stirrer set to 4400\n" + "Stirrer set to 4500\n" + "Stirrer set to 4600\n" + "Stirrer set to 4700\n" + "Stirrer set to 4800\n" + "Stirrer set to 4900\n" + "Stirrer set to 5000\n" ) interfaces.stir_speed(8000, gradual=True) captured = capsys.readouterr() assert captured.out == ( "Stirrer set to 5100\n" + "Stirrer set to 5200\n" + "Stirrer set to 5300\n" + "Stirrer set to 5400\n" + "Stirrer set to 5500\n" + "Stirrer set to 5600\n" + "Stirrer set to 5700\n" + "Stirrer set to 5800\n" + "Stirrer set to 5900\n" + "Stirrer set to 6000\n" + "Stirrer set to 6100\n" + "Stirrer set to 6200\n" + "Stirrer set to 6300\n" + "Stirrer set to 6400\n" + "Stirrer set to 6500\n" + "Stirrer set to 6600\n" + "Stirrer set to 6700\n" + "Stirrer set to 6800\n" + "Stirrer set to 6900\n" + "Stirrer set to 7000\n" + "Stirrer set to 7100\n" + "Stirrer set to 7200\n" + "Stirrer set to 7300\n" + "Stirrer set to 7400\n" + "Stirrer set to 7500\n" + "Stirrer set to 7600\n" + "Stirrer set to 7700\n" + "Stirrer set to 7800\n" + "Stirrer set to 7900\n" + "Stirrer set to 8000\n" ) interfaces.stir_speed(3000, gradual=True) captured = capsys.readouterr() assert captured.out == ( "Stirrer set to 7900\n" + "Stirrer set to 7800\n" + "Stirrer set to 7700\n" + "Stirrer set to 7600\n" + "Stirrer set to 7500\n" + "Stirrer set to 7400\n" + "Stirrer set to 7300\n" + "Stirrer set to 7200\n" + "Stirrer set to 7100\n" + "Stirrer set to 7000\n" + "Stirrer set to 6900\n" + "Stirrer set to 6800\n" + "Stirrer set to 6700\n" + "Stirrer set to 6600\n" + "Stirrer set to 6500\n" + "Stirrer set to 6400\n" + "Stirrer set to 6300\n" + "Stirrer set to 6200\n" + "Stirrer set to 6100\n" + "Stirrer set to 6000\n" + "Stirrer set to 5900\n" + "Stirrer set to 5800\n" + "Stirrer set to 5700\n" + "Stirrer set to 5600\n" + "Stirrer set to 5500\n" + "Stirrer set to 5400\n" + "Stirrer set to 5300\n" + "Stirrer set to 5200\n" + "Stirrer set to 5100\n" + "Stirrer set to 5000\n" + "Stirrer set to 4900\n" + "Stirrer set to 4800\n" + "Stirrer set to 4700\n" + "Stirrer set to 4600\n" + "Stirrer set to 4500\n" + "Stirrer set to 4400\n" + "Stirrer set to 4300\n" + "Stirrer set to 4200\n" + "Stirrer set to 4100\n" + "Stirrer set to 4000\n" + "Stirrer set to 3900\n" + "Stirrer set to 3800\n" + "Stirrer set to 3700\n" + "Stirrer set to 3600\n" + "Stirrer set to 3500\n" + "Stirrer set to 3400\n" + "Stirrer set to 3300\n" + "Stirrer set to 3200\n" + "Stirrer set to 3100\n" + "Stirrer set to 3000\n" ) interfaces.stir_stop() captured = capsys.readouterr() assert captured.out == ("Stirrer set to 0\n")
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174
py
Python
plugins/vxstream_sandbox/komand_vxstream_sandbox/actions/__init__.py
lukaszlaszuk/insightconnect-plugins
8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892
[ "MIT" ]
46
2019-06-05T20:47:58.000Z
2022-03-29T10:18:01.000Z
plugins/vxstream_sandbox/komand_vxstream_sandbox/actions/__init__.py
lukaszlaszuk/insightconnect-plugins
8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892
[ "MIT" ]
386
2019-06-07T20:20:39.000Z
2022-03-30T17:35:01.000Z
plugins/vxstream_sandbox/komand_vxstream_sandbox/actions/__init__.py
lukaszlaszuk/insightconnect-plugins
8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892
[ "MIT" ]
43
2019-07-09T14:13:58.000Z
2022-03-28T12:04:46.000Z
# GENERATED BY KOMAND SDK - DO NOT EDIT from .lookup.action import Lookup from .query.action import Query from .report.action import Report from .submit.action import Submit
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