hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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)
| 26.38
| 78
| 0.654284
| 415
| 2,638
| 4.031325
| 0.13494
| 0.100418
| 0.133891
| 0.023909
| 0.907352
| 0.907352
| 0.907352
| 0.907352
| 0.882845
| 0.882845
| 0
| 0.057592
| 0.203563
| 2,638
| 99
| 79
| 26.646465
| 0.738696
| 0.107278
| 0
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.233333
| 1
| 0.083333
| false
| 0
| 0.05
| 0
| 0.133333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
9483c323d5223db778f766c8459bc1675a4a26ac
| 867
|
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
| 66.692308
| 100
| 0.915802
| 116
| 867
| 6.456897
| 0.172414
| 0.23498
| 0.448598
| 0.200267
| 0.781041
| 0.781041
| 0.781041
| 0.732977
| 0.732977
| 0.732977
| 0
| 0
| 0.048443
| 867
| 12
| 101
| 72.25
| 0.907879
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 11
|
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
| 44
| 0.564103
| 31
| 156
| 2.83871
| 0.322581
| 0.204545
| 0.181818
| 0.227273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122449
| 0.057692
| 156
| 5
| 45
| 31.2
| 0.47619
| 0
| 0
| 0
| 0
| 0
| 0.503185
| 0.496815
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.75
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 8
|
84b626130b3c4dadb85218e6c7c23e4053bd3c69
| 5,862
|
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({})
| 34.280702
| 95
| 0.723644
| 690
| 5,862
| 5.849275
| 0.126087
| 0.047572
| 0.104063
| 0.061943
| 0.820367
| 0.812934
| 0.812934
| 0.789643
| 0.746283
| 0.717047
| 0
| 0.005993
| 0.174514
| 5,862
| 170
| 96
| 34.482353
| 0.828064
| 0
| 0
| 0.706349
| 0
| 0
| 0.067554
| 0
| 0
| 0
| 0
| 0
| 0.349206
| 1
| 0
| false
| 0
| 0.055556
| 0
| 0.055556
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
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
| 39.067114
| 124
| 0.511768
| 530
| 5,821
| 5.5
| 0.158491
| 0.053516
| 0.041166
| 0.041166
| 0.840823
| 0.840823
| 0.840823
| 0.776329
| 0.776329
| 0.776329
| 0
| 0.016234
| 0.312146
| 5,821
| 148
| 125
| 39.331081
| 0.711788
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| 0
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| 0
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| 0.169599
| 0.064835
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| 1
| 0.063492
| false
| 0
| 0.095238
| 0.031746
| 0.222222
| 0.031746
| 0
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| null | 0
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0
| 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
| 42.066667
| 111
| 0.642367
| 305
| 1,893
| 3.832787
| 0.255738
| 0.143713
| 0.307956
| 0.087254
| 0.817793
| 0.817793
| 0.775021
| 0.775021
| 0.711719
| 0.648417
| 0
| 0.100679
| 0.144744
| 1,893
| 44
| 112
| 43.022727
| 0.621371
| 0.006867
| 0
| 0.466667
| 0
| 0
| 0.137453
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| false
| 0
| 0
| 0
| 0.133333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| null | 0
| 0
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| 0
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| 0
| 0
| 0
| 0
|
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
| 37.745591
| 128
| 0.509147
| 7,252
| 70,622
| 4.743519
| 0.064396
| 0.022965
| 0.017093
| 0.011628
| 0.909738
| 0.893169
| 0.881919
| 0.876192
| 0.869797
| 0.86686
| 0
| 0.019798
| 0.416386
| 70,622
| 1,870
| 129
| 37.765775
| 0.814829
| 0.231259
| 0
| 0.875
| 0
| 0
| 0.027038
| 0.005035
| 0
| 0
| 0
| 0
| 0
| 1
| 0.049812
| false
| 0
| 0.016917
| 0
| 0.120301
| 0.009399
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
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| null | 0
| 0
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| 0
|
0
| 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
| 51.236842
| 160
| 0.63585
| 280
| 1,947
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| 1
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| null | 0
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| 1
| 1
| 1
| 1
| 1
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| null | 0
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| 0
| 0
|
0
| 7
|
8e1abfca263c3596f07f70c049266a172313d99e
| 105
|
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
| 35
| 56
| 0.904762
| 15
| 105
| 5.866667
| 0.6
| 0.204545
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.041237
| 0.07619
| 105
| 2
| 57
| 52.5
| 0.865979
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 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
|
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
| 0
| 0
| 0
| 0
| 0.094488
| 1
| 0.015748
| false
| 0
| 0.013123
| 0
| 0.031496
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 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
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| 0
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| 0
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| 0
| 0.126582
| 158
| 4
| 48
| 39.5
| 0.891304
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| null | 0
| 0
| 0
| 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
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.075472
| 159
| 3
| 55
| 53
| 0.938776
| 0
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| 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'
| 32.042308
| 74
| 0.565718
| 945
| 8,331
| 4.656085
| 0.089947
| 0.171818
| 0.095455
| 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
| 0
| 0
| 0.184762
| 0.010111
| 0
| 0
| 0
| 0
| 0.061404
| 1
| 0.061404
| false
| 0
| 0.013158
| 0
| 0.074561
| 0.004386
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 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
| 35.977376
| 165
| 0.6164
| 975
| 7,951
| 4.951795
| 0.171282
| 0.041425
| 0.01657
| 0.029826
| 0.857912
| 0.844035
| 0.837614
| 0.8314
| 0.810066
| 0.810066
| 0
| 0.010745
| 0.262608
| 7,951
| 220
| 166
| 36.140909
| 0.812724
| 0.295812
| 0
| 0.702128
| 0
| 0
| 0.003722
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.095745
| false
| 0
| 0.042553
| 0
| 0.234043
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 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
| 0
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.020833
| false
| 0
| 0.020833
| 0
| 0.041667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 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",
"Gruppe_D1_:_V._<_20_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_D2_:_20_GJ_<_V._<_200_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_D3_:_V._>_200_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_I1_:_V._<_1_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_I2_:_1_000_GJ_<_V._<_10_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_I3_:_10_000_GJ_<_V._<_100_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_I4_:_100_000_GJ_<_V._<_1_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_I5_:_1_000_000_GJ_<_V._<_4_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_I6_:_V._>_4_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DA_:_V._<_1_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DB_:_1_000_kWh_<_V._<_2_500_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DC_:_2_500_kWh_<_V._<_5_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DD_:_5_000_kWh_<_V._<_15_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DE_:_V._>_15_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IA_:_V._<_20_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IB_:_20_MWh_<_V._<_500_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IC_:_500_MWh_<_V._<_2_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_ID_:_2_000_MWh_<_V._<_20_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IE_:_20_000_MWh_<_V._<_70_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IF_:_70_000_MWh_<_V._<_150_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IG_:_V._>_150_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DA_:_V._<_1_000_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DB_:_1_000_kWh_<_V._<_2_500_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DC_:_2_500_kWh_<_V._<_5_000_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DD_:_5_000_kWh_<_V._<_15_000_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_DE_:_V._>_15_000_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IA_:_V._<_20_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IB_:_20_MWh_<_V._<_500_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IC_:_500_MWh_<_V._<_2_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_ID_:_2_000_MWh_<_V._<_20_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IE_:_20_000_MWh_<_V._<_70_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IF_:_70_000_MWh_<_V._<_150_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Gas",
"Gruppe_IG_:_V._>_150_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
0,
5,
],
[
"Strom",
"Gruppe_D1_:_V._<_20_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_D2_:_20_GJ_<_V._<_200_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_D3_:_V._>_200_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I1_:_V._<_1_000_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I2_:_1_000_GJ_<_V._<_10_000_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I3_:_10_000_GJ_<_V._<_100_000_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I4_:_100_000_GJ_<_V._<_1_000_000_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I5_:_1_000_000_GJ_<_V._<_4_000_000_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I6_:_V._>_4_000_000_GJ",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_D1_:_V._<_20_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_D2_:_20_GJ_<_V._<_200_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_D3_:_V._>_200_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I1_:_V._<_1_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I2_:_1_000_GJ_<_V._<_10_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I3_:_10_000_GJ_<_V._<_100_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I4_:_100_000_GJ_<_V._<_1_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I5_:_1_000_000_GJ_<_V._<_4_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Strom",
"Gruppe_I6_:_V._>_4_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Gas",
"Gruppe_DA_:_V._<_1_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Gas",
"Gruppe_DB_:_1_000_kWh_<_V._<_2_500_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Gas",
"Gruppe_DC_:_2_500_kWh_<_V._<_5_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Gas",
"Gruppe_DD_:_5_000_kWh_<_V._<_15_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Gas",
"Gruppe_DE_:_V._>_15_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
1,
5,
],
[
"Gas",
"Gruppe_IA_:_V._<_20_MWh",
"true",
"ESTAT",
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"Gruppe_I4_:_100_000_GJ_<_V._<_1_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Strom",
"Gruppe_I5_:_1_000_000_GJ_<_V._<_4_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Strom",
"Gruppe_I6_:_V._>_4_000_000_GJ",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DA_:_V._<_1_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DB_:_1_000_kWh_<_V._<_2_500_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DC_:_2_500_kWh_<_V._<_5_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DD_:_5_000_kWh_<_V._<_15_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DE_:_V._>_15_000_kWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IA_:_V._<_20_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IB_:_20_MWh_<_V._<_500_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IC_:_500_MWh_<_V._<_2_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_ID_:_2_000_MWh_<_V._<_20_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IE_:_20_000_MWh_<_V._<_70_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IF_:_70_000_MWh_<_V._<_150_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IG_:_V._>_150_000_MWh",
"true",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DA_:_V._<_1_000_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DB_:_1_000_kWh_<_V._<_2_500_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DC_:_2_500_kWh_<_V._<_5_000_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DD_:_5_000_kWh_<_V._<_15_000_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_DE_:_V._>_15_000_kWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IA_:_V._<_20_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IB_:_20_MWh_<_V._<_500_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IC_:_500_MWh_<_V._<_2_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_ID_:_2_000_MWh_<_V._<_20_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IE_:_20_000_MWh_<_V._<_70_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IF_:_70_000_MWh_<_V._<_150_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
[
"Gas",
"Gruppe_IG_:_V._>_150_000_MWh",
"false",
"ESTAT",
"2007-01-01",
"season",
4,
5,
],
]
OIL = [
[
"Erdöl",
"Brent_Crude_Oil_Futures",
"false",
"Quandl",
"2014-02-18",
"day",
6,
1,
],
[
"Erdöl",
"WTI_Crude_Oil_Futures",
"false",
"Quandl",
"2006-02-03",
"day",
5,
1,
],
]
COAL = [
[
"Kohle",
"Coal_API2_CIF_ARA",
"false",
"Quandl",
"2014-02-14",
"day",
6,
2,
]
]
EMISSIONS = [
["EUA", "Y+0", "false", "EEX", "2019-01-01", "day", 6, 2],
["EUA", "Y+1", "false", "EEX", "2019-01-01", "day", 6, 2],
]
ID3 = [
["Strom", "ID3_0", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_1", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_2", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_3", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_4", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_5", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_6", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_7", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_8", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_9", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_10", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_11", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_12", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_13", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_14", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_15", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_16", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_17", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_18", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_19", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_20", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_21", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_22", "false", "EPEX", "2020-01-01", "day", 0, 4],
["Strom", "ID3_23", "false", "EPEX", "2020-01-01", "day", 0, 4],
[
"Strom",
"Intraday_SP_0",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_1",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_2",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_3",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_4",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_5",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_6",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_7",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_8",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_9",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_10",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_11",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_12",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_13",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_14",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_15",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_16",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_17",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_18",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_19",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_20",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_21",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_22",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
[
"Strom",
"Intraday_SP_23",
"false",
"EPEX",
"2020-01-01",
"day",
0,
4,
],
["Strom", "ID3_0", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_1", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_2", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_3", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_4", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_5", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_6", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_7", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_8", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_9", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_10", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_11", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_12", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_13", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_14", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_15", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_16", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_17", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_18", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_19", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_20", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_21", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_22", "false", "EPEX", "2020-01-01", "day", 1, 4],
["Strom", "ID3_23", "false", "EPEX", "2020-01-01", "day", 1, 4],
[
"Strom",
"Intraday_SP_0",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_1",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_2",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_3",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_4",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_5",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_6",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_7",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_8",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_9",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_10",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_11",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_12",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_13",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_14",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_15",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_16",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_17",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_18",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_19",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_20",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_21",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_22",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
[
"Strom",
"Intraday_SP_23",
"false",
"EPEX",
"2020-01-01",
"day",
1,
4,
],
["Strom", "ID3_0", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_1", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_2", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_3", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_4", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_5", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_6", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_7", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_8", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_9", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_10", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_11", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_12", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_13", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_14", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_15", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_16", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_17", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_18", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_19", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_20", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_21", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_22", "false", "EPEX", "2020-01-01", "day", 2, 4],
["Strom", "ID3_23", "false", "EPEX", "2020-01-01", "day", 2, 4],
[
"Strom",
"Intraday_SP_0",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_1",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_2",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_3",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_4",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_5",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_6",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_7",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_8",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_9",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_10",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_11",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_12",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_13",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_14",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_15",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_16",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_17",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_18",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_19",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_20",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_21",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_22",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
[
"Strom",
"Intraday_SP_23",
"false",
"EPEX",
"2020-01-01",
"day",
2,
4,
],
["Strom", "ID3_0", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_1", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_2", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_3", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_4", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_5", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_6", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_7", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_8", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_9", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_10", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_11", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_12", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_13", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_14", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_15", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_16", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_17", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_18", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_19", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_20", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_21", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_22", "false", "EPEX", "2020-01-01", "day", 3, 4],
["Strom", "ID3_23", "false", "EPEX", "2020-01-01", "day", 3, 4],
[
"Strom",
"Intraday_SP_0",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_1",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_2",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_3",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_4",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_5",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_6",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_7",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_8",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_9",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_10",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_11",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_12",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_13",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_14",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_15",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_16",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_17",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_18",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_19",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_20",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_21",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_22",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
[
"Strom",
"Intraday_SP_23",
"false",
"EPEX",
"2020-01-01",
"day",
3,
4,
],
["Strom", "ID3_0", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_1", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_2", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_3", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_4", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_5", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_6", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_7", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_8", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_9", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_10", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_11", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_12", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_13", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_14", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_15", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_16", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_17", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_18", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_19", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_20", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_21", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_22", "false", "EPEX", "2020-01-01", "day", 4, 4],
["Strom", "ID3_23", "false", "EPEX", "2020-01-01", "day", 4, 4],
[
"Strom",
"Intraday_SP_0",
"false",
"EPEX",
"2020-01-01",
"day",
4,
4,
],
[
"Strom",
"Intraday_SP_1",
"false",
"EPEX",
"2020-01-01",
"day",
4,
4,
],
[
"Strom",
"Intraday_SP_2",
"false",
"EPEX",
"2020-01-01",
"day",
4,
4,
],
[
"Strom",
"Intraday_SP_3",
"false",
"EPEX",
"2020-01-01",
"day",
4,
4,
],
[
"Strom",
"Intraday_SP_4",
"false",
"EPEX",
"2020-01-01",
"day",
4,
4,
],
[
"Strom",
"Intraday_SP_5",
"false",
"EPEX",
"2020-01-01",
"day",
4,
4,
],
[
"Strom",
"Intraday_SP_6",
"false",
"EPEX",
"2020-01-01",
"day",
4,
4,
],
[
"Strom",
"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,
]
| 30.565001
| 142
| 0.338526
| 15,358
| 135,189
| 2.818271
| 0.010874
| 0.113486
| 0.164637
| 0.198923
| 0.983989
| 0.982788
| 0.982788
| 0.982788
| 0.980154
| 0.972622
| 0
| 0.203286
| 0.422423
| 135,189
| 4,422
| 143
| 30.571913
| 0.351041
| 0.001021
| 0
| 0.700363
| 0
| 0
| 0.344829
| 0.052164
| 0
| 0
| 0
| 0
| 0
| 1
| 0.000454
| false
| 0
| 0.000227
| 0.000227
| 0.003862
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
ed8cd89bb23087f9709cd1b1a0461ae5bac2c6a0
| 77
|
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 *
| 25.666667
| 38
| 0.792208
| 12
| 77
| 5.083333
| 0.583333
| 0.295082
| 0.42623
| 0.688525
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103896
| 77
| 2
| 39
| 38.5
| 0.884058
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 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
| 8
|
edb10234d7fc0c7ada7363bd6bcbbe8bbdda9793
| 23,391
|
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)
| 38.158238
| 129
| 0.607627
| 2,706
| 23,391
| 5.017369
| 0.066888
| 0.054209
| 0.024748
| 0.031819
| 0.941961
| 0.933785
| 0.928187
| 0.910069
| 0.899241
| 0.895043
| 0
| 0.017507
| 0.304049
| 23,391
| 612
| 130
| 38.220588
| 0.816512
| 0.061092
| 0
| 0.789474
| 0
| 0
| 0.166596
| 0.033277
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.012384
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
|
0
| 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)
| 39.406639
| 117
| 0.473255
| 1,892
| 18,994
| 4.562896
| 0.099366
| 0.050967
| 0.033129
| 0.030812
| 0.80644
| 0.787328
| 0.782926
| 0.782926
| 0.769721
| 0.763582
| 0
| 0.001954
| 0.407234
| 18,994
| 481
| 118
| 39.488565
| 0.76481
| 0.084395
| 0
| 0.770308
| 0
| 0.014006
| 0.148516
| 0.051139
| 0
| 0
| 0
| 0
| 0
| 1
| 0.030812
| false
| 0
| 0.019608
| 0
| 0.084034
| 0.005602
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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)
| 46.73913
| 110
| 0.630233
| 239
| 2,150
| 5.476987
| 0.146444
| 0.128342
| 0.091673
| 0.119175
| 0.84492
| 0.760886
| 0.73644
| 0.73644
| 0.73644
| 0.660046
| 0
| 0.027489
| 0.238605
| 2,150
| 45
| 111
| 47.777778
| 0.772144
| 0
| 0
| 0.5
| 0
| 0
| 0.535349
| 0.168372
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.210526
| null | null | 0.157895
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.116667
| 60
| 2
| 32
| 30
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 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
|
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
| 0
| 0
| 0
| 0
| 0.080214
| 187
| 6
| 71
| 31.166667
| 0.883721
| 0
| 0
| 0
| 0
| 0
| 0.417112
| 0.417112
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 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
| 0.797203
| 20
| 143
| 5.7
| 0.4
| 0.482456
| 0.596491
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132867
| 143
| 5
| 30
| 28.6
| 0.919355
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 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
|
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"))
| 43.466717
| 197
| 0.616536
| 6,436
| 58,115
| 5.444065
| 0.075513
| 0.213768
| 0.213483
| 0.266853
| 0.890833
| 0.884839
| 0.871939
| 0.859667
| 0.838033
| 0.818083
| 0
| 0.034039
| 0.257386
| 58,115
| 1,336
| 198
| 43.499252
| 0.777834
| 0.002994
| 0
| 0.562258
| 0
| 0.017015
| 0.216888
| 0.034281
| 0
| 0
| 0
| 0
| 0.354215
| 1
| 0.016241
| false
| 0.00232
| 0.006187
| 0
| 0.023975
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
b6a0714975faed7a177792a1e300ce2ecf1b6f8f
| 3,208
|
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
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
#------------------------------------------------------------------------------#
| 51.741935
| 80
| 0.439214
| 238
| 3,208
| 5.861345
| 0.319328
| 0.03871
| 0.048746
| 0.071685
| 0.817204
| 0.817204
| 0.775627
| 0.775627
| 0.775627
| 0.686738
| 0
| 0.001598
| 0.219763
| 3,208
| 61
| 81
| 52.590164
| 0.555733
| 0.714464
| 0
| 0.777778
| 0
| 0
| 0.106853
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 1
| 0.111111
| false
| 0
| 0.333333
| 0
| 0.444444
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
| 0
| 0
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| 0
| 0
| 1
| 0
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| null | 0
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| 0
| 1
| 0
| 0
| 0
|
0
| 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
| 31
| 54
| 0.892473
| 11
| 93
| 7.272727
| 0.636364
| 0.275
| 0.425
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| 0.086022
| 93
| 2
| 55
| 46.5
| 0.941176
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| 1
| 0
| 1
| 0
|
0
| 7
|
fcdd8469aef4a80a03c82413e1de788309d24b31
| 2,423
|
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)
| 34.126761
| 87
| 0.61948
| 299
| 2,423
| 4.90301
| 0.234114
| 0.057299
| 0.049113
| 0.061392
| 0.815825
| 0.815825
| 0.815825
| 0.815825
| 0.815825
| 0.815825
| 0
| 0
| 0.257532
| 2,423
| 70
| 88
| 34.614286
| 0.814897
| 0.262897
| 0
| 0.666667
| 0
| 0
| 0.053081
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.083333
| 0.083333
| 0.583333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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))
| 27.122449
| 84
| 0.617005
| 169
| 1,329
| 4.639053
| 0.331361
| 0.091837
| 0.081633
| 0.040816
| 0.857143
| 0.857143
| 0.857143
| 0.857143
| 0.857143
| 0.857143
| 0
| 0.004044
| 0.255831
| 1,329
| 48
| 85
| 27.6875
| 0.788675
| 0.137698
| 0
| 0.75
| 0
| 0
| 0.057998
| 0.048644
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.083333
| 0
| 0.416667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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()
| 125.486486
| 1,249
| 0.667887
| 582
| 4,643
| 5.278351
| 0.209622
| 0.234375
| 0.054688
| 0.020508
| 0.837891
| 0.837891
| 0.837891
| 0.837891
| 0.837891
| 0.806641
| 0
| 0.576348
| 0.049322
| 4,643
| 36
| 1,250
| 128.972222
| 0.119619
| 0.819944
| 0
| 0.095238
| 0
| 0
| 0.155128
| 0.112821
| 0
| 0
| 0
| 0
| 0
| 1
| 0.190476
| false
| 0
| 0.142857
| 0
| 0.380952
| 0.095238
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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]}
| 37.652174
| 97
| 0.655889
| 123
| 866
| 4.406504
| 0.333333
| 0.099631
| 0.166052
| 0.088561
| 0.791513
| 0.745387
| 0.745387
| 0.745387
| 0.745387
| 0.745387
| 0
| 0.014966
| 0.15127
| 866
| 22
| 98
| 39.363636
| 0.722449
| 0.163972
| 0
| 0.333333
| 0
| 0
| 0.217514
| 0
| 0
| 0
| 0
| 0
| 0.416667
| 1
| 0.25
| false
| 0
| 0.083333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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)
| 22.04698
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0
| 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
| 16.76
| 79
| 0.800318
| 305
| 2,514
| 6.252459
| 0.216393
| 0.146827
| 0.422129
| 0.499213
| 0.807027
| 0.807027
| 0.613005
| 0.289984
| 0
| 0
| 0
| 0.000921
| 0.136436
| 2,514
| 149
| 80
| 16.872483
| 0.877476
| 0.027049
| 0
| 0.466667
| 1
| 0
| 0.015964
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.466667
| 0.026667
| 0
| 0.493333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 7
|
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())
| 48.288043
| 126
| 0.636128
| 1,113
| 8,885
| 4.876909
| 0.097934
| 0.149595
| 0.16507
| 0.126013
| 0.892962
| 0.883198
| 0.883198
| 0.833088
| 0.73913
| 0.658438
| 0
| 0.008494
| 0.178503
| 8,885
| 183
| 127
| 48.551913
| 0.735169
| 0.038604
| 0
| 0.565891
| 0
| 0
| 0.233349
| 0.010319
| 0
| 0
| 0
| 0.005464
| 0.705426
| 1
| 0.03876
| false
| 0
| 0.03876
| 0
| 0.077519
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
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()
| 39.232558
| 82
| 0.593644
| 4,183
| 38,801
| 5.180732
| 0.040641
| 0.073093
| 0.042822
| 0.061511
| 0.829542
| 0.824235
| 0.824235
| 0.800609
| 0.800563
| 0.779383
| 0
| 0.193874
| 0.297441
| 38,801
| 988
| 83
| 39.272267
| 0.601101
| 0.020257
| 0
| 0.777042
| 0
| 0
| 0.111149
| 0.097986
| 0
| 0
| 0
| 0
| 0.004415
| 1
| 0.014349
| false
| 0
| 0.004415
| 0
| 0.019868
| 0.002208
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
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| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
78282037f86ec133759a305201b1ec793ec9cfc0
| 254
|
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 *
| 31.75
| 36
| 0.814961
| 35
| 254
| 5.6
| 0.371429
| 0.392857
| 0.535714
| 0.234694
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.122047
| 254
| 8
| 37
| 31.75
| 0.878924
| 0
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| true
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| null | 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
785fb3dbbc119d657f601c2bb7e18541490e1a7d
| 54
|
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'
| 27
| 53
| 0.888889
| 2
| 54
| 24
| 1
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| 0.470588
| 0.055556
| 54
| 1
| 54
| 54
| 0.470588
| 0
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| 0.740741
| 0.740741
| 0
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| 0
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| 1
| null | 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
7869833c779693809256e9088c3944f4d65112ba
| 68,612
|
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,
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'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,
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'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,
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'Memory Management Unit/Dtlb/Runtime Dynamic': 0.176559,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
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'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Peak Dynamic': 0.863014,
'Memory Management Unit/Runtime Dynamic': 0.254814,
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'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
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'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.000409283,
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'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
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'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,
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'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.360354,
'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': 0.394874,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 10.7354,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
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'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': 4.81792e-05,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202726,
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'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Floating Point Units/Peak Dynamic': 0.000303604,
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'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': 0.354624,
'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': 0.571995,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
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'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
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'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.288724,
'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': 1.21534,
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'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
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'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.40554,
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'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
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'Execution Unit/Peak Dynamic': 4.6172,
'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': 0.0148745,
'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': 0.107578,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.110006,
'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': 0.107635,
'Execution Unit/Register Files/Runtime Dynamic': 0.124881,
'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': 0.226648,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.706198,
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'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 2.65452,
'Execution Unit/Subthreshold Leakage': 1.79543,
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'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': 0.00180506,
'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': 0.00180506,
'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': 0.00159312,
'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 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': 0.00158025,
'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': 0.00678349,
'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': 0.0165595,
'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 Unit/StoreQ/Peak Dynamic': 0.305054,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.610107,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.108265,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.108537,
'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,
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'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
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'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.742083,
'Memory Management Unit/Runtime Dynamic': 0.157716,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 23.5779,
'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': 0.000151408,
'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,
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'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0160015,
'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,
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'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': 0.203156,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 6.38707,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'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': 3.30641e-05,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.202715,
'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,
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'Execution Unit/Floating Point Units/Peak Dynamic': 0.000215053,
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'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
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'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
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'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
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'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': 0.580113,
'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': 0.292821,
'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': 1.23259,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
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'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.41131,
'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': 4.62835,
'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': 4.06281e-05,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0150856,
'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': 0.109099,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.111567,
'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': 0.10914,
'Execution Unit/Register Files/Runtime Dynamic': 0.126653,
'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': 0.229849,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.732503,
'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': 2.69984,
'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': 0.00158333,
'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': 0.00158333,
'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': 0.00139845,
'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': 0.000551957,
'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': 0.00160267,
'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': 0.00616779,
'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': 0.0144888,
'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': 0.107253,
'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': 0.281238,
'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': 0.364278,
'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': 0.773425,
'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': 0.0187134,
'L2/Runtime Dynamic': 0.00699416,
'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': 5.30499,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.96323,
'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': 0.131605,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.131605,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 5.92645,
'Load Store Unit/Runtime Dynamic': 2.74387,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.324516,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.649032,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.115172,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.115432,
'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': 0.0461649,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.753948,
'Memory Management Unit/Runtime Dynamic': 0.161597,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 23.8809,
'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': 0.000107455,
'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': 0.016228,
'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': 0.190262,
'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': 0.206598,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 6.59232,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
{'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': 2.7396e-05,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.20271,
'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': 0.000177103,
'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': 0.250476,
'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': 0.404009,
'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': 0.20393,
'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': 0.858415,
'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': 0.286445,
'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': 4.38379,
'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': 3.34585e-05,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0105061,
'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': 0.0759815,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.077699,
'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': 0.0760149,
'Execution Unit/Register Files/Runtime Dynamic': 0.0882051,
'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': 0.160079,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.507836,
'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': 2.06254,
'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': 0.00113767,
'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': 0.00113767,
'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': 0.00100458,
'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': 0.000396363,
'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': 0.00111615,
'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': 0.00439608,
'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': 0.0104196,
'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': 0.0746941,
'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': 4.75119,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.199886,
'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': 0.253695,
'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': 7.20029,
'Instruction Fetch Unit/Runtime Dynamic': 0.543091,
'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': 0.0135884,
'L2/Runtime Dynamic': 0.00483782,
'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': 4.04873,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.35689,
'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': 0.0909624,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0909623,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.47828,
'Load Store Unit/Runtime Dynamic': 1.89645,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.224298,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.448595,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.079604,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.079792,
'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': 0.295411,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0328157,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.588266,
'Memory Management Unit/Runtime Dynamic': 0.112608,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 20.2537,
'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': 8.81117e-05,
'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': 0.0113019,
'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': 0.132418,
'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': 0.143808,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 4.76333,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 1.2737531995122762,
'Runtime Dynamic': 1.2737531995122762,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.108562,
'Runtime Dynamic': 0.0671214,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 96.8532,
'Peak Power': 129.965,
'Runtime Dynamic': 28.5453,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 96.7446,
'Total Cores/Runtime Dynamic': 28.4781,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.108562,
'Total L3s/Runtime Dynamic': 0.0671214,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
| 75.067834
| 124
| 0.68198
| 8,090
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| 0.869759
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| 75.067834
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0
| 7
|
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
| 49.585586
| 245
| 0.8254
| 1,302
| 16,512
| 10.467742
| 0.172043
| 0.103016
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| 0.874312
| 0.85795
| 0.83968
| 0.809744
| 0.800719
| 0.726686
| 0
| 0.006332
| 0.033975
| 16,512
| 332
| 246
| 49.73494
| 0.848097
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0
| 7
|
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: ['((((((()))))))', '(((((()())))))', '((((()(())))))', '(((()((())))))', '((()(((())))))', '(()((((())))))', '()(((((())))))', '(((((())()))))', '((((()()()))))', '(((()(()()))))', '((()((()()))))', '(()(((()()))))', '()((((()()))))', '((((())(()))))', '(((()()(()))))', '((()(()(()))))', '(()((()(()))))', '()(((()(()))))', '(((())((()))))', '((()()((()))))', '(()(()((()))))', '()((()((()))))', '((())(((()))))', '(()()(((()))))', '()(()(((()))))', '(())((((()))))', '()()((((()))))', '(((((()))())))', '((((()())())))', '(((()(())())))', '((()((())())))', '(()(((())())))', '()((((())())))', '((((())()())))', '(((()()()())))', '((()(()()())))', '(()((()()())))', '()(((()()())))', '(((())(()())))', '((()()(()())))', '(()(()(()())))', '()((()(()())))', '((())((()())))', '(()()((()())))', '()(()((()())))', '(())(((()())))', '()()(((()())))', '((((()))(())))', '(((()())(())))', '((()(())(())))', '(()((())(())))', '()(((())(())))', '(((())()(())))', '((()()()(())))', '(()(()()(())))', '()((()()(())))', '((())(()(())))', '(()()(()(())))', '()(()(()(())))', '(())((()(())))', '()()((()(())))', '(((()))((())))', '((()())((())))', '(()(())((())))', '()((())((())))', '((())()((())))', '(()()()((())))', '()(()()((())))', '(())(()((())))', '()()(()((())))', '((()))(((())))', '(()())(((())))', '()(())(((())))', '(())()(((())))', '()()()(((())))', '(((((())))()))', '((((()()))()))', '(((()(()))()))', '((()((()))()))', '(()(((()))()))', '()((((()))()))', '((((())())()))', '(((()()())()))', '((()(()())()))', '(()((()())()))', '()(((()())()))', '(((())(())()))', '((()()(())()))', '(()(()(())()))', '()((()(())()))', '((())((())()))', '(()()((())()))', '()(()((())()))', '(())(((())()))', '()()(((())()))', '((((()))()()))', '(((()())()()))', '((()(())()()))', '(()((())()()))', '()(((())()()))', '(((())()()()))', '((()()()()()))', '(()(()()()()))', '()((()()()()))', '((())(()()()))', '(()()(()()()))', '()(()(()()()))', '(())((()()()))', '()()((()()()))', '(((()))(()()))', '((()())(()()))', '(()(())(()()))', '()((())(()()))', '((())()(()()))', '(()()()(()()))', '()(()()(()()))', '(())(()(()()))', '()()(()(()()))', '((()))((()()))', '(()())((()()))', '()(())((()()))', '(())()((()()))', '()()()((()()))', '((((())))(()))', '(((()()))(()))', '((()(()))(()))', '(()((()))(()))', '()(((()))(()))', '(((())())(()))', '((()()())(()))', '(()(()())(()))', '()((()())(()))', '((())(())(()))', '(()()(())(()))', '()(()(())(()))', '(())((())(()))', '()()((())(()))', '(((()))()(()))', '((()())()(()))', '(()(())()(()))', '()((())()(()))', '((())()()(()))', '(()()()()(()))', '()(()()()(()))', '(())(()()(()))', '()()(()()(()))', '((()))(()(()))', '(()())(()(()))', '()(())(()(()))', '(())()(()(()))', '()()()(()(()))', '(((())))((()))', '((()()))((()))', '(()(()))((()))', '()((()))((()))', '((())())((()))', '(()()())((()))', '()(()())((()))', '(())(())((()))', '()()(())((()))', '((()))()((()))', '(()())()((()))', '()(())()((()))', '(())()()((()))', '()()()()((()))', '(((((()))))())', '((((()())))())', '(((()(())))())', '((()((())))())', '(()(((())))())', '()((((())))())', '((((())()))())', '(((()()()))())', '((()(()()))())', '(()((()()))())', '()(((()()))())', '(((())(()))())', '((()()(()))())', '(()(()(()))())', '()((()(()))())', '((())((()))())', '(()()((()))())', '()(()((()))())', '(())(((()))())', '()()(((()))())', '((((()))())())', '(((()())())())', '((()(())())())', '(()((())())())', '()(((())())())', '(((())()())())', '((()()()())())', '(()(()()())())', '()((()()())())', '((())(()())())', '(()()(()())())', '()(()(()())())', '(())((()())())', '()()((()())())', '(((()))(())())', '((()())(())())', '(()(())(())())', '()((())(())())', '((())()(())())', '(()()()(())())', '()(()()(())())', '(())(()(())())', '()()(()(())())', '((()))((())())', '(()())((())())', '()(())((())())', '(())()((())())', '()()()((())())', '((((())))()())', '(((()()))()())', '((()(()))()())', '(()((()))()())', '()(((()))()())', '(((())())()())', '((()()())()())', '(()(()())()())', '()((()())()())', '((())(())()())', '(()()(())()())', '()(()(())()())', '(())((())()())', '()()((())()())', '(((()))()()())', '((()())()()())', '(()(())()()())', '()((())()()())', '((())()()()())', '(()()()()()())', '()(()()()()())', '(())(()()()())', '()()(()()()())', '((()))(()()())', '(()())(()()())', '()(())(()()())', '(())()(()()())', '()()()(()()())', '(((())))(()())', '((()()))(()())', '(()(()))(()())', '()((()))(()())', '((())())(()())', '(()()())(()())', '()(()())(()())', '(())(())(()())', '()()(())(()())', '((()))()(()())', '(()())()(()())', '()(())()(()())', '(())()()(()())', '()()()()(()())', '((((()))))(())', '(((()())))(())', '((()(())))(())', '(()((())))(())', '()(((())))(())', '(((())()))(())', '((()()()))(())', '(()(()()))(())', '()((()()))(())', '((())(()))(())', '(()()(()))(())', '()(()(()))(())', '(())((()))(())', '()()((()))(())', '(((()))())(())', '((()())())(())', '(()(())())(())', '()((())())(())', '((())()())(())', '(()()()())(())', '()(()()())(())', '(())(()())(())', '()()(()())(())', '((()))(())(())', '(()())(())(())', '()(())(())(())', '(())()(())(())', '()()()(())(())', '(((())))()(())', '((()()))()(())', '(()(()))()(())', '()((()))()(())', '((())())()(())', '(()()())()(())', '()(()())()(())', '(())(())()(())', '()()(())()(())', '((()))()()(())', '(()())()()(())', '()(())()()(())', '(())()()()(())', '()()()()()(())', '(((((())))))()', '((((()()))))()', '(((()(()))))()', '((()((()))))()', '(()(((()))))()', '()((((()))))()', '((((())())))()', '(((()()())))()', '((()(()())))()', '(()((()())))()', '()(((()())))()', '(((())(())))()', '((()()(())))()', '(()(()(())))()', '()((()(())))()', '((())((())))()', '(()()((())))()', '()(()((())))()', '(())(((())))()', '()()(((())))()', '((((()))()))()', '(((()())()))()', '((()(())()))()', '(()((())()))()', '()(((())()))()', '(((())()()))()', '((()()()()))()', '(()(()()()))()', '()((()()()))()', '((())(()()))()', '(()()(()()))()', '()(()(()()))()', '(())((()()))()', '()()((()()))()', '(((()))(()))()', '((()())(()))()', '(()(())(()))()', '()((())(()))()', '((())()(()))()', '(()()()(()))()', '()(()()(()))()', '(())(()(()))()', '()()(()(()))()', '((()))((()))()', '(()())((()))()', '()(())((()))()', '(())()((()))()', '()()()((()))()', '((((())))())()', '(((()()))())()', '((()(()))())()', '(()((()))())()', '()(((()))())()', '(((())())())()', '((()()())())()', '(()(()())())()', '()((()())())()', '((())(())())()', '(()()(())())()', '()(()(())())()', '(())((())())()', '()()((())())()', '(((()))()())()', '((()())()())()', '(()(())()())()', '()((())()())()', '((())()()())()', '(()()()()())()', '()(()()()())()', '(())(()()())()', '()()(()()())()', '((()))(()())()', '(()())(()())()', '()(())(()())()', '(())()(()())()', '()()()(()())()', '(((())))(())()', '((()()))(())()', '(()(()))(())()', '()((()))(())()', '((())())(())()', '(()()())(())()', '()(()())(())()', '(())(())(())()', '()()(())(())()', '((()))()(())()', '(()())()(())()', '()(())()(())()', '(())()()(())()', '()()()()(())()', '((((()))))()()', '(((()())))()()', '((()(())))()()', '(()((())))()()', '()(((())))()()', '(((())()))()()', '((()()()))()()', '(()(()()))()()', '()((()()))()()', '((())(()))()()', '(()()(()))()()', '()(()(()))()()', '(())((()))()()', '()()((()))()()', '(((()))())()()', '((()())())()()', '(()(())())()()', '()((())())()()', '((())()())()()', '(()()()())()()', '()(()()())()()', '(())(()())()()', '()()(()())()()', '((()))(())()()', '(()())(())()()', '()(())(())()()', '(())()(())()()', '()()()(())()()', '(((())))()()()', '((()()))()()()', '(()(()))()()()', '()((()))()()()', '((())())()()()', '(()()())()()()', '()(()())()()()', '(())(())()()()', '()()(())()()()', '((()))()()()()', '(()())()()()()', '()(())()()()()', '(())()()()()()', '()()()()()()()'], 8: ['(((((((())))))))', '((((((()()))))))', '(((((()(()))))))', '((((()((()))))))', '(((()(((()))))))', '((()((((()))))))', '(()(((((()))))))', '()((((((()))))))', '((((((())())))))', '(((((()()())))))', '((((()(()())))))', '(((()((()())))))', '((()(((()())))))', '(()((((()())))))', '()(((((()())))))', '(((((())(())))))', '((((()()(())))))', '(((()(()(())))))', '((()((()(())))))', '(()(((()(())))))', '()((((()(())))))', '((((())((())))))', '(((()()((())))))', '((()(()((())))))', '(()((()((())))))', '()(((()((())))))', '(((())(((())))))', '((()()(((())))))', '(()(()(((())))))', '()((()(((())))))', '((())((((())))))', '(()()((((())))))', '()(()((((())))))', '(())(((((())))))', '()()(((((())))))', '((((((()))()))))', '(((((()())()))))', '((((()(())()))))', '(((()((())()))))', '((()(((())()))))', '(()((((())()))))', '()(((((())()))))', '(((((())()()))))', '((((()()()()))))', '(((()(()()()))))', '((()((()()()))))', '(()(((()()()))))', '()((((()()()))))', '((((())(()()))))', '(((()()(()()))))', '((()(()(()()))))', '(()((()(()()))))', '()(((()(()()))))', '(((())((()()))))', '((()()((()()))))', '(()(()((()()))))', '()((()((()()))))', '((())(((()()))))', '(()()(((()()))))', '()(()(((()()))))', '(())((((()()))))', '()()((((()()))))', '(((((()))(()))))', '((((()())(()))))', '(((()(())(()))))', '((()((())(()))))', '(()(((())(()))))', '()((((())(()))))', '((((())()(()))))', '(((()()()(()))))', '((()(()()(()))))', '(()((()()(()))))', '()(((()()(()))))', '(((())(()(()))))', '((()()(()(()))))', '(()(()(()(()))))', '()((()(()(()))))', '((())((()(()))))', '(()()((()(()))))', '()(()((()(()))))', '(())(((()(()))))', '()()(((()(()))))', '((((()))((()))))', '(((()())((()))))', '((()(())((()))))', '(()((())((()))))', '()(((())((()))))', '(((())()((()))))', '((()()()((()))))', '(()(()()((()))))', '()((()()((()))))', '((())(()((()))))', '(()()(()((()))))', '()(()(()((()))))', '(())((()((()))))', '()()((()((()))))', '(((()))(((()))))', '((()())(((()))))', '(()(())(((()))))', '()((())(((()))))', '((())()(((()))))', '(()()()(((()))))', '()(()()(((()))))', '(())(()(((()))))', '()()(()(((()))))', '((()))((((()))))', '(()())((((()))))', '()(())((((()))))', '(())()((((()))))', '()()()((((()))))', '((((((())))())))', '(((((()()))())))', '((((()(()))())))', '(((()((()))())))', '((()(((()))())))', '(()((((()))())))', '()(((((()))())))', '(((((())())())))', '((((()()())())))', '(((()(()())())))', '((()((()())())))', '(()(((()())())))', '()((((()())())))', '((((())(())())))', '(((()()(())())))', '((()(()(())())))', '(()((()(())())))', '()(((()(())())))', '(((())((())())))', '((()()((())())))', '(()(()((())())))', '()((()((())())))', '((())(((())())))', '(()()(((())())))', '()(()(((())())))', '(())((((())())))', '()()((((())())))', '(((((()))()())))', '((((()())()())))', '(((()(())()())))', '((()((())()())))', '(()(((())()())))', '()((((())()())))', '((((())()()())))', '(((()()()()())))', '((()(()()()())))', '(()((()()()())))', '()(((()()()())))', '(((())(()()())))', '((()()(()()())))', '(()(()(()()())))', '()((()(()()())))', '((())((()()())))', '(()()((()()())))', '()(()((()()())))', '(())(((()()())))', '()()(((()()())))', '((((()))(()())))', '(((()())(()())))', '((()(())(()())))', '(()((())(()())))', '()(((())(()())))', '(((())()(()())))', '((()()()(()())))', '(()(()()(()())))', '()((()()(()())))', '((())(()(()())))', '(()()(()(()())))', '()(()(()(()())))', '(())((()(()())))', '()()((()(()())))', '(((()))((()())))', '((()())((()())))', '(()(())((()())))', '()((())((()())))', '((())()((()())))', '(()()()((()())))', '()(()()((()())))', '(())(()((()())))', '()()(()((()())))', '((()))(((()())))', '(()())(((()())))', '()(())(((()())))', '(())()(((()())))', '()()()(((()())))', '(((((())))(())))', '((((()()))(())))', '(((()(()))(())))', '((()((()))(())))', '(()(((()))(())))', '()((((()))(())))', '((((())())(())))', '(((()()())(())))', '((()(()())(())))', '(()((()())(())))', '()(((()())(())))', '(((())(())(())))', '((()()(())(())))', '(()(()(())(())))', '()((()(())(())))', '((())((())(())))', '(()()((())(())))', '()(()((())(())))', '(())(((())(())))', '()()(((())(())))', '((((()))()(())))', '(((()())()(())))', '((()(())()(())))', '(()((())()(())))', '()(((())()(())))', '(((())()()(())))', '((()()()()(())))', '(()(()()()(())))', '()((()()()(())))', '((())(()()(())))', '(()()(()()(())))', '()(()(()()(())))', '(())((()()(())))', '()()((()()(())))', '(((()))(()(())))', '((()())(()(())))', '(()(())(()(())))', '()((())(()(())))', '((())()(()(())))', '(()()()(()(())))', '()(()()(()(())))', '(())(()(()(())))', '()()(()(()(())))', '((()))((()(())))', '(()())((()(())))', '()(())((()(())))', '(())()((()(())))', '()()()((()(())))', '((((())))((())))', '(((()()))((())))', '((()(()))((())))', '(()((()))((())))', '()(((()))((())))', '(((())())((())))', '((()()())((())))', '(()(()())((())))', '()((()())((())))', '((())(())((())))', '(()()(())((())))', '()(()(())((())))', '(())((())((())))', '()()((())((())))', '(((()))()((())))', '((()())()((())))', '(()(())()((())))', '()((())()((())))', '((())()()((())))', '(()()()()((())))', '()(()()()((())))', '(())(()()((())))', '()()(()()((())))', '((()))(()((())))', '(()())(()((())))', '()(())(()((())))', '(())()(()((())))', '()()()(()((())))', '(((())))(((())))', '((()()))(((())))', '(()(()))(((())))', '()((()))(((())))', '((())())(((())))', '(()()())(((())))', '()(()())(((())))', '(())(())(((())))', '()()(())(((())))', '((()))()(((())))', '(()())()(((())))', '()(())()(((())))', '(())()()(((())))', '()()()()(((())))', '((((((()))))()))', '(((((()())))()))', '((((()(())))()))', '(((()((())))()))', '((()(((())))()))', '(()((((())))()))', '()(((((())))()))', '(((((())()))()))', '((((()()()))()))', '(((()(()()))()))', '((()((()()))()))', '(()(((()()))()))', '()((((()()))()))', '((((())(()))()))', '(((()()(()))()))', '((()(()(()))()))', '(()((()(()))()))', '()(((()(()))()))', '(((())((()))()))', '((()()((()))()))', '(()(()((()))()))', '()((()((()))()))', '((())(((()))()))', '(()()(((()))()))', '()(()(((()))()))', '(())((((()))()))', '()()((((()))()))', '(((((()))())()))', '((((()())())()))', '(((()(())())()))', '((()((())())()))', '(()(((())())()))', '()((((())())()))', '((((())()())()))', '(((()()()())()))', '((()(()()())()))', 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'((()())()())()()', '(()(())()())()()', '()((())()())()()', '((())()()())()()', '(()()()()())()()', '()(()()()())()()', '(())(()()())()()', '()()(()()())()()', '((()))(()())()()', '(()())(()())()()', '()(())(()())()()', '(())()(()())()()', '()()()(()())()()', '(((())))(())()()', '((()()))(())()()', '(()(()))(())()()', '()((()))(())()()', '((())())(())()()', '(()()())(())()()', '()(()())(())()()', '(())(())(())()()', '()()(())(())()()', '((()))()(())()()', '(()())()(())()()', '()(())()(())()()', '(())()()(())()()', '()()()()(())()()', '((((()))))()()()', '(((()())))()()()', '((()(())))()()()', '(()((())))()()()', '()(((())))()()()', '(((())()))()()()', '((()()()))()()()', '(()(()()))()()()', '()((()()))()()()', '((())(()))()()()', '(()()(()))()()()', '()(()(()))()()()', '(())((()))()()()', '()()((()))()()()', '(((()))())()()()', '((()())())()()()', '(()(())())()()()', '()((())())()()()', '((())()())()()()', '(()()()())()()()', '()(()()())()()()', '(())(()())()()()', '()()(()())()()()', '((()))(())()()()', '(()())(())()()()', '()(())(())()()()', '(())()(())()()()', '()()()(())()()()', '(((())))()()()()', '((()()))()()()()', '(()(()))()()()()', '()((()))()()()()', '((())())()()()()', '(()()())()()()()', '()(()())()()()()', '(())(())()()()()', '()()(())()()()()', '((()))()()()()()', '(()())()()()()()', '()(())()()()()()', '(())()()()()()()', '()()()()()()()()'],}
return d[n]
| 5,635
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| 39,445
| 7
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| 5,635
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| 0
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| 1
| 0.166667
| false
| 0
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| 0.666667
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| null | 0
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|
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
| 0
| 0.016546
| 0.163205
| 4,767
| 117
| 106
| 40.74359
| 0.809977
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| 0.057143
| false
| 0.009524
| 0.028571
| 0
| 0.085714
| 0
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| 0
| null | 1
| 1
| 1
| 1
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|
0
| 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)
| 47.596893
| 246
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| 0.982756
| 0
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| 58,211
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| 1
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| 0.11577
| 0
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| 0.038052
| false
| 0
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| 0
| 0.100457
| 0
| 0
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| null | 0
| 0
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0
| 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
| 0
| 0.635514
| 0
| 0
| 0.156137
| 0.007119
| 0
| 0
| 0
| 0
| 0
| 1
| 0.051402
| false
| 0
| 0.004673
| 0.023364
| 0.247664
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
|
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
| 96
| 0.387962
| 1,811
| 21,631
| 4.626726
| 0.15185
| 0.030075
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| 42.580709
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| 0.007435
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|
0
| 7
|
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
| 43.694444
| 113
| 0.584075
| 802
| 6,292
| 4.405237
| 0.169576
| 0.053779
| 0.022078
| 0.021511
| 0.836966
| 0.827342
| 0.809793
| 0.780074
| 0.772431
| 0.762242
| 0
| 0.0087
| 0.342339
| 6,292
| 143
| 114
| 44
| 0.845094
| 0.345677
| 0
| 0.753086
| 0
| 0
| 0.031226
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.049383
| false
| 0
| 0.049383
| 0
| 0.148148
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 57
| 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
| 58
| 19.642857
| 0.831111
| 0.203636
| 0
| 0.833333
| 0
| 0
| 0.438356
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
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
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/3",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/3",
"rel": "bookmark"
}
],
"ram": 4096,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 40,
"id": "3",
"name": "m1.medium",
"vcpus": 2,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/4",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/4",
"rel": "bookmark"
}
],
"ram": 8192,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 80,
"id": "4",
"name": "m1.large",
"vcpus": 4,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/42",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/42",
"rel": "bookmark"
}
],
"ram": 64,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 0,
"id": "42",
"name": "m1.nano",
"vcpus": 1,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/451",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/451",
"rel": "bookmark"
}
],
"ram": 512,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 0,
"id": "451",
"name": "m1.heat",
"vcpus": 1,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/5",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/5",
"rel": "bookmark"
}
],
"ram": 16384,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 160,
"id": "5",
"name": "m1.xlarge",
"vcpus": 8,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/84",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/84",
"rel": "bookmark"
}
],
"ram": 128,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 0,
"id": "84",
"name": "m1.micro",
"vcpus": 1,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/c1",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/c1",
"rel": "bookmark"
}
],
"ram": 256,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 0,
"id": "c1",
"name": "cirros256",
"vcpus": 1,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/d1",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/d1",
"rel": "bookmark"
}
],
"ram": 512,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 5,
"id": "d1",
"name": "ds512M",
"vcpus": 1,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/d2",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/d2",
"rel": "bookmark"
}
],
"ram": 1024,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 10,
"id": "d2",
"name": "ds1G",
"vcpus": 1,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/d3",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/d3",
"rel": "bookmark"
}
],
"ram": 2048,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 10,
"id": "d3",
"name": "ds2G",
"vcpus": 2,
"swap": "",
"OS-FLV-EXT-DATA:ephemeral": 0
},
{
"links": [
{
"href": "http://131.234.250.117:8774/v2.1/40d9de036960447dafd7d74d306cf189/flavors/d4",
"rel": "self"
},
{
"href": "http://131.234.250.117:8774/40d9de036960447dafd7d74d306cf189/flavors/d4",
"rel": "bookmark"
}
],
"ram": 4096,
"OS-FLV-DISABLED:disabled": False,
"os-flavor-access:is_public": True,
"rxtx_factor": 1.0,
"disk": 20,
"id": "d4",
"name": "ds4G",
"vcpus": 4,
"swap": "",
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}
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}
| 25.976431
| 98
| 0.488399
| 759
| 7,715
| 4.932806
| 0.140975
| 0.051282
| 0.070513
| 0.089744
| 0.806624
| 0.806624
| 0.806624
| 0.806624
| 0.806624
| 0.796474
| 0
| 0.217391
| 0.320285
| 7,715
| 297
| 99
| 25.976431
| 0.496568
| 0
| 0
| 0.454237
| 0
| 0.040678
| 0.502074
| 0.127786
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
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)
| 43.633188
| 126
| 0.607619
| 3,252
| 29,976
| 5.448954
| 0.061193
| 0.055305
| 0.094018
| 0.078555
| 0.909932
| 0.888318
| 0.876919
| 0.852427
| 0.844244
| 0.831772
| 0
| 0.014287
| 0.248132
| 29,976
| 686
| 127
| 43.696793
| 0.771941
| 0.037063
| 0
| 0.844365
| 0
| 0.046512
| 0.235802
| 0.05124
| 0
| 0
| 0
| 0
| 0.422182
| 1
| 0.033989
| false
| 0
| 0.014311
| 0
| 0.050089
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
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)
| 49.476215
| 198
| 0.622321
| 10,125
| 95,687
| 5.668247
| 0.027654
| 0.041818
| 0.041052
| 0.055584
| 0.981722
| 0.98038
| 0.979561
| 0.976373
| 0.972801
| 0.97132
| 0
| 0.005522
| 0.301608
| 95,687
| 1,933
| 199
| 49.501811
| 0.853278
| 0.371691
| 0
| 0.837514
| 1
| 0
| 0.232363
| 0.104966
| 0
| 0
| 0
| 0
| 0
| 1
| 0.033806
| false
| 0
| 0.007634
| 0
| 0.091603
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 151
| 0.48042
| 1,536
| 13,330
| 4
| 0.111328
| 0.028646
| 0.021159
| 0.016927
| 0.953288
| 0.948242
| 0.932454
| 0.932454
| 0.915527
| 0.909668
| 0
| 0.024454
| 0.395649
| 13,330
| 295
| 152
| 45.186441
| 0.738208
| 0.170068
| 0
| 0.915789
| 0
| 0
| 0.032035
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.021053
| false
| 0
| 0.031579
| 0
| 0.073684
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 52
| 314
| 5.019231
| 0.326923
| 0.229885
| 0.344828
| 0.413793
| 0.222222
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0.039427
| 0.111465
| 314
| 7
| 56
| 44.857143
| 0.896057
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 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
|
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
| 0
| 0.043478
| 0.258065
| 31
| 2
| 18
| 15.5
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 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
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
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
| 0.622222
| 7
| 45
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.222222
| 45
| 2
| 29
| 22.5
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0.304348
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0.5
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
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| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 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
| 49.684539
| 177
| 0.642272
| 13,773
| 95,444
| 4.079286
| 0.03398
| 0.030898
| 0.026164
| 0.040118
| 0.945376
| 0.937011
| 0.927025
| 0.912804
| 0.908853
| 0.898886
| 0
| 0.051397
| 0.263484
| 95,444
| 1,920
| 178
| 49.710417
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| 0.137164
| 0.003126
| 0
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| 0.106156
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| null | null | 0.107412
| 0.008794
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| 0
|
0
| 9
|
da8edfc4efb6514353b99934a906c740f7870acf
| 131
|
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
| 26.2
| 56
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| 131
| 4
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|
0
| 7
|
e55830f5063b6d6fb74d1218af3fbbcc04cc2ef5
| 19,863
|
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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0
| 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
| 27.875
| 50
| 0.860987
| 28
| 223
| 6.714286
| 0.357143
| 0.170213
| 0.234043
| 0.191489
| 0.510638
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00995
| 0.098655
| 223
| 7
| 51
| 31.857143
| 0.925373
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 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
|
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
| 27
| 68
| 0.540509
| 201
| 864
| 2.278607
| 0.154229
| 0.235808
| 0.032751
| 0.113537
| 0.766376
| 0.766376
| 0.766376
| 0.766376
| 0.751092
| 0.733624
| 0
| 0.192024
| 0.216435
| 864
| 31
| 69
| 27.870968
| 0.48449
| 0.265046
| 0
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.181818
| false
| 0
| 0.090909
| 0
| 0.454545
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 55.475703
| 349
| 0.557236
| 6,648
| 65,073
| 5.372744
| 0.093712
| 0.034884
| 0.069769
| 0.084243
| 0.816983
| 0.799345
| 0.790022
| 0.772776
| 0.746514
| 0.736407
| 0
| 0.013433
| 0.322745
| 65,073
| 1,172
| 350
| 55.523038
| 0.797032
| 0.101056
| 0
| 0.713684
| 0
| 0
| 0.101536
| 0.002893
| 0
| 0
| 0
| 0
| 0
| 1
| 0.008421
| false
| 0.064211
| 0.021053
| 0
| 0.057895
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 8
|
e5f40eb9b604ff31cc07a720f4193e6ab3ef32d8
| 26,450
|
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")
| 48.981481
| 209
| 0.678601
| 3,174
| 26,450
| 5.436043
| 0.072779
| 0.065666
| 0.072215
| 0.053553
| 0.87145
| 0.835632
| 0.804799
| 0.770314
| 0.754666
| 0.708705
| 0
| 0.003467
| 0.225785
| 26,450
| 539
| 210
| 49.072356
| 0.839096
| 0.405671
| 0
| 0.5053
| 1
| 0
| 0.129462
| 0.045245
| 0
| 0
| 0
| 0
| 0
| 1
| 0.162544
| false
| 0.003534
| 0.017668
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| 0.282686
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
| 1
| 0
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|
0
| 7
|
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]
| 125.724138
| 1,241
| 0.948711
| 100
| 3,646
| 34.57
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| 29
| 1,242
| 125.724138
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0
| 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,
)
| 32.515582
| 3,421
| 0.291096
| 135,946
| 851,388
| 1.776168
| 0.003656
| 0.101523
| 0.058083
| 0.03222
| 0.983389
| 0.976539
| 0.964152
| 0.950821
| 0.932168
| 0.914819
| 0
| 0.081858
| 0.44406
| 851,388
| 26,183
| 3,422
| 32.516824
| 0.428289
| 0.01033
| 0
| 0.69379
| 0
| 0.000038
| 0.000095
| 0
| 0
| 0
| 0
| 0
| 0.056775
| 1
| 0.000192
| false
| 0
| 0.000651
| 0
| 0.000843
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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', 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'1', '854250000', '1', '408000000'], ['1', '1', '1', '1', '960000', '1', '854250000', '1', '665600000'], ['1', '1', '1', '1', '960000', '1', '854250000', '1', '68000000'], ['1', '1', '1', '1', '960000', '1', '854250000', '1', '800000000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '102000000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '1062400000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '1331200000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '1600000000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '1866000000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '204000000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '40800000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '408000000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '665600000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '68000000'], ['1', '1', '1', '1', '960000', '1', '943500000', '1', '800000000']]
| 1,020,857
| 1,020,857
| 0.449683
| 133,057
| 1,020,857
| 3.450115
| 0.000293
| 0.06441
| 0.03623
| 0.016102
| 0.999987
| 0.999987
| 0.999987
| 0.999967
| 0
| 0
| 0
| 0.517071
| 0.130339
| 1,020,857
| 1
| 1,020,857
| 1,020,857
| 0.000007
| 0
| 0
| 0
| 0
| 0
| 0.449677
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 1
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|
0
| 9
|
973be837a298fcb2a30676d05f1a9d3b4f7fbb3e
| 8,795
|
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()
| 31.410714
| 96
| 0.651052
| 1,114
| 8,795
| 5.056553
| 0.074506
| 0.091603
| 0.137405
| 0.160305
| 0.897745
| 0.868986
| 0.846796
| 0.801172
| 0.718267
| 0.641754
| 0
| 0.028284
| 0.208073
| 8,795
| 279
| 97
| 31.523297
| 0.780474
| 0.002388
| 0
| 0.574359
| 0
| 0
| 0.101801
| 0.049932
| 0
| 0
| 0
| 0
| 0.220513
| 1
| 0.220513
| false
| 0
| 0.025641
| 0
| 0.292308
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
| 0
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| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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>"""
| 28.655172
| 77
| 0.379061
| 187
| 1,662
| 3.352941
| 0.219251
| 0.111643
| 0.157895
| 0.111643
| 0.91547
| 0.91547
| 0.91547
| 0.91547
| 0.91547
| 0.91547
| 0
| 0.007495
| 0.438026
| 1,662
| 57
| 78
| 29.157895
| 0.663812
| 0
| 0
| 0.872727
| 0
| 0
| 0.958484
| 0
| 0
| 0
| 0
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| 1
| 0
| false
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 17
| 26
| 0.529412
| 20
| 153
| 3.8
| 0.45
| 0.315789
| 0.315789
| 0.315789
| 0.263158
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020619
| 0.366013
| 153
| 8
| 27
| 19.125
| 0.762887
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0
| 0
| 0.571429
| 0
| 1
| 0
| 0
| null | 1
| 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
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 7
|
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']))
| 40.395833
| 105
| 0.643778
| 1,574
| 13,573
| 5.445997
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| 0.868292
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| 13,573
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| 106
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| null | 0
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| 0
|
0
| 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
| 32.760518
| 78
| 0.497086
| 1,094
| 10,123
| 4.537477
| 0.113346
| 0.032232
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| 0.846495
| 0.825544
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| 10,123
| 308
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| 0.038961
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| 0.021645
| 0.017316
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| null | 0
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|
0
| 7
|
c14307c7f63d3dce3fc0db53ca706f31c2d2d489
| 3,239
|
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)
| 35.988889
| 87
| 0.715344
| 396
| 3,239
| 5.633838
| 0.15404
| 0.080681
| 0.076647
| 0.096369
| 0.852981
| 0.852981
| 0.852981
| 0.852981
| 0.833707
| 0.833707
| 0
| 0.016178
| 0.179376
| 3,239
| 89
| 88
| 36.393258
| 0.823175
| 0.006483
| 0
| 0.723684
| 0
| 0
| 0.031095
| 0.007774
| 0
| 0
| 0
| 0
| 0.197368
| 1
| 0.065789
| false
| 0
| 0.052632
| 0
| 0.118421
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
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")
| 26.979592
| 82
| 0.56354
| 676
| 7,932
| 6.60355
| 0.116864
| 0.107527
| 0.143369
| 0.179211
| 0.905914
| 0.879032
| 0.879032
| 0.879032
| 0.869176
| 0.856183
| 0
| 0.278328
| 0.26122
| 7,932
| 293
| 83
| 27.071672
| 0.483447
| 0.02887
| 0
| 0.730337
| 0
| 0
| 0.56224
| 0.532095
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007491
| false
| 0
| 0.007491
| 0
| 0.018727
| 0.029963
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 11
|
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"
| 13
| 23
| 0.692308
| 5
| 39
| 5.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179487
| 39
| 2
| 24
| 19.5
| 0.84375
| 0
| 0
| 0
| 0
| 0
| 0.307692
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 0
| 0.5
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 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
| 1
| 1
| 0
| 0
| 1
| 1
| 0
|
0
| 7
|
c171c97b19d2c384b505e9041c627565ee9b80e0
| 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
| 42.754386
| 110
| 0.692245
| 645
| 4,874
| 5.023256
| 0.114729
| 0.252778
| 0.166667
| 0.066667
| 0.957099
| 0.957099
| 0.957099
| 0.957099
| 0.957099
| 0.957099
| 0
| 0.039309
| 0.133566
| 4,874
| 114
| 111
| 42.754386
| 0.727919
| 0.04165
| 0
| 0.876712
| 0
| 0
| 0.220768
| 0.045698
| 0
| 0
| 0
| 0
| 0
| 1
| 0.082192
| false
| 0
| 0.082192
| 0
| 0.219178
| 0.013699
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
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| 0
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| 1
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| 0
| 0
|
0
| 8
|
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',
}
| 99.22314
| 152
| 0.81276
| 1,468
| 12,006
| 6.386921
| 0.068801
| 0.107935
| 0.137372
| 0.255119
| 0.832018
| 0.802474
| 0.792022
| 0.792022
| 0.792022
| 0.760985
| 0
| 0.04854
| 0.052807
| 12,006
| 120
| 153
| 100.05
| 0.775941
| 0
| 0
| 0
| 0
| 0
| 0.866889
| 0.055977
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.09009
| 0
| 0.09009
| 0.018018
| 0
| 0
| 0
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
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|
0
| 9
|
c1efa334c8ca3814d45d6c3f3681430d1f89adfa
| 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 Unit/StoreQ/Peak Dynamic': 0.310831,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.621663,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.110315,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.110581,
'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': 0.0481593,
'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 List/Runtime Dynamic': 0.0160711,
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'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
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'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
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'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
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'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,
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'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,
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'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 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': 0.0191256,
'L2/Runtime Dynamic': 0.00616538,
'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': 5.11609,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.87118,
'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': 0.125494,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.125494,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 5.7087,
'Load Store Unit/Runtime Dynamic': 2.61557,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.309447,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.618893,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/Free List/Area': 0.0340654,
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'Execution Unit/Register Files/Integer RF/Area': 0.362673,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'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': 0.105226,
'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 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': 0.771769,
'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': 0.0190645,
'L2/Runtime Dynamic': 0.00635618,
'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': 5.11524,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.87106,
'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': 0.125466,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.125466,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 5.70772,
'Load Store Unit/Runtime Dynamic': 2.61529,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.309379,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.618757,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory 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,
'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': 0.000149188,
'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': 0.0159219,
'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': 0.186312,
'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': 0.202383,
'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 gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 100.141,
'Total Cores/Runtime Dynamic': 30.1082,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.115042,
'Total L3s/Runtime Dynamic': 0.070799,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}}
| 75.050328
| 124
| 0.681906
| 8,090
| 68,596
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| 0.921995
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| 68,596
| 914
| 125
| 75.050328
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0
| 7
|
a9a960628a0471a585d925454655776700f4ec08
| 231
|
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
| 57.75
| 71
| 0.909091
| 37
| 231
| 5.27027
| 0.486486
| 0.225641
| 0.307692
| 0.369231
| 0.533333
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| 0.064935
| 231
| 4
| 72
| 57.75
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|
0
| 7
|
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
| 38.428571
| 48
| 0.776952
| 42
| 269
| 4.97619
| 0.261905
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| 0.344498
| 0.454545
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| 0.645933
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| 269
| 6
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|
0
| 7
|
a9c5e7029477dda40bd65eb1f566fcc57baac2c8
| 6,880
|
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 = {"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"},{"from":"709855543862493285","to":"683782736686874828"},{"from":"709855543862493285","to":"683782736686874828"},{"from":"710156816561995868","to":"710136739603152976"},{"from":"709855543862493285","to":"710136739603152976"},{"from":"634254029437796352","to":"709855543862493285"},{"from":"683782736686874828","to":"709855543862493285"}
more_unknown = {"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"}
unknown_plus = {"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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| 1,302
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| 6,880
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0
| 11
|
a9ec91f7df0739bd61cc0633b70795aac98c5bb4
| 59,540
|
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)
| 43.301818
| 117
| 0.562479
| 6,067
| 59,540
| 5.297181
| 0.037086
| 0.054764
| 0.029871
| 0.024644
| 0.94396
| 0.926504
| 0.915209
| 0.905035
| 0.895202
| 0.884311
| 0
| 0.00013
| 0.35388
| 59,540
| 1,374
| 118
| 43.333333
| 0.835274
| 0.309187
| 0
| 0.767409
| 1
| 0
| 0.177888
| 0.030172
| 0
| 0
| 0
| 0
| 0
| 1
| 0.033426
| false
| 0
| 0.011142
| 0
| 0.093315
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 24
| 0.820313
| 40
| 128
| 1.875
| 0.175
| 0.16
| 0.466667
| 0.533333
| 0.88
| 0.88
| 0.746667
| 0
| 0
| 0
| 0
| 0.318182
| 0.140625
| 128
| 9
| 25
| 14.222222
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 50
| 0.785714
| 15
| 98
| 5.133333
| 0.533333
| 0.181818
| 0.441558
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 98
| 2
| 51
| 49
| 0.916667
| 0.091837
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 1
| 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
| 1
|
0
| 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
| 65
| 0.916667
| 20
| 240
| 11
| 0.35
| 0.381818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066667
| 240
| 4
| 66
| 60
| 0.982143
| 0
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| true
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| null | 1
| 0
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| 0
| 0
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| 0
| 0
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| 1
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 123
| 5
| 53
| 24.6
| 0.87963
| 0
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| 0
| 0
| 0
| 0.138211
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 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
| 0
| 0.058958
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.066667
| false
| 0
| 0.047619
| 0
| 0.142857
| 0.009524
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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"])
| 71.669098
| 266
| 0.421348
| 27,080
| 216,154
| 3.270458
| 0.011078
| 0.200194
| 0.15582
| 0.084459
| 0.99117
| 0.988822
| 0.987433
| 0.986225
| 0.980534
| 0.976966
| 0
| 0.039528
| 0.384726
| 216,154
| 3,015
| 267
| 71.692869
| 0.626397
| 0.040443
| 0
| 0.969733
| 0
| 0.006372
| 0.22715
| 0.020908
| 0
| 0
| 0
| 0
| 0
| 1
| 0.002389
| false
| 0.008761
| 0.002389
| 0
| 0.005177
| 0.173636
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 55.644172
| 120
| 0.670011
| 1,060
| 9,070
| 5.476415
| 0.080189
| 0.034453
| 0.043411
| 0.031008
| 0.928854
| 0.913006
| 0.913006
| 0.901464
| 0.901464
| 0.891645
| 0
| 0
| 0.25204
| 9,070
| 162
| 121
| 55.987654
| 0.85569
| 0.225248
| 0
| 0.712644
| 0
| 0
| 0.516867
| 0.174398
| 0
| 0
| 0
| 0.006173
| 0
| 1
| 0.114943
| false
| 0
| 0.011494
| 0
| 0.252874
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
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
| 44.987448
| 176
| 0.623884
| 1,407
| 10,752
| 4.383795
| 0.093106
| 0.035992
| 0.068093
| 0.052367
| 0.900778
| 0.883917
| 0.883917
| 0.883917
| 0.839818
| 0.839818
| 0
| 0.006758
| 0.243025
| 10,752
| 238
| 177
| 45.176471
| 0.751075
| 0.038876
| 0
| 0.820809
| 0
| 0
| 0.14107
| 0.002036
| 0
| 0
| 0
| 0
| 0
| 1
| 0.080925
| false
| 0
| 0.063584
| 0
| 0.208092
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
}
| 38.636364
| 55
| 0.491765
| 172
| 850
| 2.418605
| 0.087209
| 0.144231
| 0.230769
| 0.237981
| 0.862981
| 0.836538
| 0.836538
| 0.836538
| 0.836538
| 0.836538
| 0
| 0.025042
| 0.295294
| 850
| 21
| 56
| 40.47619
| 0.669449
| 0
| 0
| 0
| 0
| 0
| 0.101176
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
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| 0
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| 0
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
| 196
| 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
| null | 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
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)
| 36.530075
| 118
| 0.61202
| 970
| 9,717
| 5.885567
| 0.130928
| 0.043791
| 0.049045
| 0.061307
| 0.865826
| 0.861972
| 0.847784
| 0.819933
| 0.801016
| 0.79979
| 0
| 0.001811
| 0.318102
| 9,717
| 265
| 119
| 36.667925
| 0.859795
| 0.356797
| 0
| 0.719626
| 1
| 0
| 0.093796
| 0.043944
| 0
| 0
| 0
| 0.037736
| 0
| 1
| 0.046729
| false
| 0
| 0.056075
| 0
| 0.158879
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 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
0.0000000000000000 0.2500000000000000 0.7500000000000000
0.5000000000000000 0.2500000000000000 0.7500000000000000
0.0000000000000000 0.7500000000000000 0.7500000000000000
0.5000000000000000 0.7500000000000000 0.7500000000000000
0.2500000000000000 0.0000000000000000 0.2500000000000000
0.7500000000000000 0.0000000000000000 0.2500000000000000
0.2500000000000000 0.5000000000000000 0.2500000000000000
0.7500000000000000 0.5000000000000000 0.2500000000000000
0.2500000000000000 0.0000000000000000 0.7500000000000000
0.7500000000000000 0.0000000000000000 0.7500000000000000
0.2500000000000000 0.5000000000000000 0.7500000000000000
0.7500000000000000 0.5000000000000000 0.7500000000000000
0.2500000000000000 0.2500000000000000 0.0000000000000000
0.7500000000000000 0.2500000000000000 0.0000000000000000
0.2500000000000000 0.7500000000000000 0.0000000000000000
0.7500000000000000 0.7500000000000000 0.0000000000000000
0.2500000000000000 0.2500000000000000 0.5000000000000000
0.7500000000000000 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 0.0000000 0.0000000
0 -1 0 0 0 -1 -1 0 0 0.0000000 0.0000000 0.0000000
0 1 0 1 0 0 0 0 -1 0.0000000 0.0000000 0.0000000
0 -1 0 -1 0 0 0 0 1 0.0000000 0.0000000 0.0000000
0 1 0 0 0 -1 -1 0 0 0.0000000 0.0000000 0.0000000
0 -1 0 0 0 1 1 0 0 0.0000000 0.0000000 0.0000000
0 1 0 -1 0 0 0 0 1 0.0000000 0.0000000 0.0000000
0 -1 0 1 0 0 0 0 -1 0.0000000 0.0000000 0.0000000
0 -1 0 0 0 -1 1 0 0 0.0000000 0.0000000 0.0000000
0 1 0 0 0 1 -1 0 0 0.0000000 0.0000000 0.0000000
0 -1 0 -1 0 0 0 0 -1 0.0000000 0.0000000 0.0000000
0 1 0 1 0 0 0 0 1 0.0000000 0.0000000 0.0000000
0 -1 0 0 0 1 -1 0 0 0.0000000 0.0000000 0.0000000
0 1 0 0 0 -1 1 0 0 0.0000000 0.0000000 0.0000000
0 -1 0 1 0 0 0 0 1 0.0000000 0.0000000 0.0000000
0 1 0 -1 0 0 0 0 -1 0.0000000 0.0000000 0.0000000
0 0 1 1 0 0 0 1 0 0.0000000 0.0000000 0.0000000
0 0 -1 -1 0 0 0 -1 0 0.0000000 0.0000000 0.0000000
1 0 0 0 0 -1 0 1 0 0.0000000 0.0000000 0.0000000
-1 0 0 0 0 1 0 -1 0 0.0000000 0.0000000 0.0000000
0 0 -1 -1 0 0 0 1 0 0.0000000 0.0000000 0.0000000
0 0 1 1 0 0 0 -1 0 0.0000000 0.0000000 0.0000000
-1 0 0 0 0 1 0 1 0 0.0000000 0.0000000 0.0000000
1 0 0 0 0 -1 0 -1 0 0.0000000 0.0000000 0.0000000
0 0 -1 1 0 0 0 -1 0 0.0000000 0.0000000 0.0000000
0 0 1 -1 0 0 0 1 0 0.0000000 0.0000000 0.0000000
-1 0 0 0 0 -1 0 -1 0 0.0000000 0.0000000 0.0000000
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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()
| 64.85151
| 82
| 0.508266
| 23,481
| 105,254
| 2.276521
| 0.005153
| 0.210719
| 0.172407
| 0.15325
| 0.982939
| 0.982041
| 0.981629
| 0.981629
| 0.98133
| 0.977009
| 0
| 0.864675
| 0.423176
| 105,254
| 1,622
| 83
| 64.891492
| 0.015779
| 0.003154
| 0
| 0
| 0
| 0.119552
| 0.987502
| 0
| 0
| 0
| 0
| 0
| 0.000623
| 1
| 0.001868
| false
| 0.000623
| 0.002491
| 0
| 0.004981
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
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| 0
| 1
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| null | 0
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|
0
| 10
|
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',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=120&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=150&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=180&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=210&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=240&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=270&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=300&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=330&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=360&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=390&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=420&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=450&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=480&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=510&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=540&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=570&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=600&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=630&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=660&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=690&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=720&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=750&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=780&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=810&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=840&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=870&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=900&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=930&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=960&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=990&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1020&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1050&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1080&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1110&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1140&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1170&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1200&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1230&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1260&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1290&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1320&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1350&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1380&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1410&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1440&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1470&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1500&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1530&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1560&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1590&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1620&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1650&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1680&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1710&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1740&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1770&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1800&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1830&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1860&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1890&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1920&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1950&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=1980&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2010&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2040&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2070&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2100&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2130&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2160&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2190&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2220&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2250&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2280&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2310&pagesize=30&sort=18',
'https://v.qq.com/x/bu/pagesheet/list?_all=1&append=1&channel=doco&listpage=2&offset=2340&pagesize=30&sort=18',
'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
| 81.6
| 130
| 0.67869
| 3,688
| 21,624
| 3.921909
| 0.071584
| 0.030697
| 0.061394
| 0.111795
| 0.882536
| 0.870022
| 0.869054
| 0.865044
| 0.849627
| 0.841192
| 0
| 0.081912
| 0.113624
| 21,624
| 264
| 131
| 81.909091
| 0.672719
| 0.033389
| 0
| 0.057416
| 0
| 0.708134
| 0.798875
| 0.023795
| 0
| 0
| 0
| 0
| 0
| 1
| 0.014354
| false
| 0.004785
| 0.014354
| 0
| 0.052632
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 8
|
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")
| 71.207076
| 1,297
| 0.715797
| 8,760
| 68,430
| 5.488014
| 0.07637
| 0.016849
| 0.024046
| 0.031118
| 0.784358
| 0.766656
| 0.757546
| 0.737785
| 0.735455
| 0.728258
| 0
| 0.016744
| 0.194461
| 68,430
| 960
| 1,298
| 71.28125
| 0.855251
| 0.62648
| 0
| 0.412409
| 1
| 0.016423
| 0.208581
| 0.083458
| 0
| 0
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| 0
| 1
| 0.173358
| false
| 0
| 0.012774
| 0
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| 0
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| null | 0
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| 1
| 1
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|
0
| 7
|
6bbd919972a169f43da70fce8d19903edf491951
| 6,400
|
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"}]
| 6,400
| 6,400
| 0.660781
| 652
| 6,400
| 6.481595
| 0.104294
| 0.078088
| 0.13062
| 0.102934
| 0.844534
| 0.797444
| 0.778277
| 0.778277
| 0.774491
| 0.774491
| 0
| 0.022194
| 0.000313
| 6,400
| 1
| 6,400
| 6,400
| 0.638324
| 0
| 0
| 0
| 0
| 0
| 0.616466
| 0
| 0
| 0
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| 0
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| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
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| 0
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| 1
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| null | 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 10
|
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
| 15.695444
| 46
| 0.766692
| 972
| 6,545
| 4.736626
| 0.151235
| 0.209818
| 0.389661
| 0.479583
| 0.803432
| 0.803432
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169748
| 6,545
| 416
| 47
| 15.733173
| 0.847258
| 0
| 0
| 0.498195
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.498195
| 0.00361
| 0
| 0.501805
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
|
0
| 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},
)
| 28.219512
| 91
| 0.724534
| 866
| 8,099
| 6.467667
| 0.099307
| 0.065881
| 0.117122
| 0.114265
| 0.846992
| 0.846992
| 0.84235
| 0.84235
| 0.831994
| 0.798072
| 0
| 0.024603
| 0.136807
| 8,099
| 286
| 92
| 28.318182
| 0.77657
| 0
| 0
| 0.666667
| 0
| 0
| 0.43314
| 0.26744
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.00813
| 0
| 0.00813
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
2e478aba15fe2189c8ecf32abc74be31b9658f56
| 112
|
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
| 37.333333
| 55
| 0.875
| 14
| 112
| 7
| 0.642857
| 0.265306
| 0.469388
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 112
| 2
| 56
| 56
| 0.942308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 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
|
cf82e078237dfa672330d60e98cd8088b622bf8d
| 2,547
|
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)),
],
),
]
| 42.45
| 116
| 0.576757
| 239
| 2,547
| 6.050209
| 0.263598
| 0.082988
| 0.099585
| 0.13278
| 0.827109
| 0.824343
| 0.767635
| 0.767635
| 0.750346
| 0.750346
| 0
| 0.026718
| 0.279937
| 2,547
| 59
| 117
| 43.169492
| 0.761723
| 0.017668
| 0
| 0.653846
| 1
| 0
| 0.092
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.057692
| 0
| 0.134615
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 7
|
d850b4fd48dafcc122027b528016942d936f8476
| 8,149
|
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")
| 30.635338
| 74
| 0.529267
| 1,122
| 8,149
| 3.811052
| 0.104278
| 0.434986
| 0.521983
| 0.54116
| 0.88985
| 0.884705
| 0.845416
| 0.845416
| 0.835594
| 0.539289
| 0
| 0.141132
| 0.349613
| 8,149
| 265
| 75
| 30.750943
| 0.66566
| 0.015462
| 0
| 0.872881
| 0
| 0
| 0.505615
| 0.00599
| 0
| 0
| 0
| 0
| 0.038136
| 1
| 0.021186
| false
| 0
| 0.004237
| 0
| 0.025424
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 9
|
d8b018bb74a8a2cc211322ca97fe51778ac4f55c
| 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
| 29
| 39
| 0.798851
| 27
| 174
| 5.148148
| 0.518519
| 0.345324
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.143678
| 174
| 5
| 40
| 34.8
| 0.932886
| 0.212644
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 7
|
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