xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

949cbb6c19f937ac98b117dbcd575e91ca2101e5

1,750

py

Python

extensions/.stubs/clrclasses/System/Management/Instrumentation/__init__.py

vicwjb/Pycad

7391cd694b7a91ad9f9964ec95833c1081bc1f84

[ "MIT" ]

1

2020-03-25T03:27:24.000Z

extensions/.stubs/clrclasses/System/Management/Instrumentation/__init__.py

vicwjb/Pycad

7391cd694b7a91ad9f9964ec95833c1081bc1f84

[ "MIT" ]

null

extensions/.stubs/clrclasses/System/Management/Instrumentation/__init__.py

vicwjb/Pycad

7391cd694b7a91ad9f9964ec95833c1081bc1f84

[ "MIT" ]

null

from __clrclasses__.System.Management.Instrumentation import InstanceNotFoundException from __clrclasses__.System.Management.Instrumentation import InstrumentationBaseException from __clrclasses__.System.Management.Instrumentation import InstrumentationException from __clrclasses__.System.Management.Instrumentation import ManagementBindAttribute from __clrclasses__.System.Management.Instrumentation import ManagementCommitAttribute from __clrclasses__.System.Management.Instrumentation import ManagementConfigurationAttribute from __clrclasses__.System.Management.Instrumentation import ManagementConfigurationType from __clrclasses__.System.Management.Instrumentation import ManagementCreateAttribute from __clrclasses__.System.Management.Instrumentation import ManagementEntityAttribute from __clrclasses__.System.Management.Instrumentation import ManagementEnumeratorAttribute from __clrclasses__.System.Management.Instrumentation import ManagementHostingModel from __clrclasses__.System.Management.Instrumentation import ManagementKeyAttribute from __clrclasses__.System.Management.Instrumentation import ManagementMemberAttribute from __clrclasses__.System.Management.Instrumentation import ManagementNameAttribute from __clrclasses__.System.Management.Instrumentation import ManagementNewInstanceAttribute from __clrclasses__.System.Management.Instrumentation import ManagementProbeAttribute from __clrclasses__.System.Management.Instrumentation import ManagementReferenceAttribute from __clrclasses__.System.Management.Instrumentation import ManagementRemoveAttribute from __clrclasses__.System.Management.Instrumentation import ManagementTaskAttribute from __clrclasses__.System.Management.Instrumentation import WmiConfigurationAttribute

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949dc9c359dab3e42edef2d3034093b87622e6e4

1,679

py

Python

test/test_fuzzylogic.py

vishalbelsare/PyShortTextCategorization

4fa46a148a3eeb923885a7d70c789e988554f758

[ "MIT" ]

481

2016-10-07T16:48:40.000Z

2022-03-16T12:44:12.000Z

test/test_fuzzylogic.py

vishalbelsare/PyShortTextCategorization

4fa46a148a3eeb923885a7d70c789e988554f758

[ "MIT" ]

56

2017-02-02T17:50:14.000Z

2021-12-15T05:14:28.000Z

test/test_fuzzylogic.py

vishalbelsare/PyShortTextCategorization

4fa46a148a3eeb923885a7d70c789e988554f758

[ "MIT" ]

70

2017-01-28T15:20:46.000Z

2021-09-30T15:08:41.000Z

import unittest import shorttext class TestFuzzyLogic(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_similarity(self): self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('debug', 'deubg'), 1) self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('intrdependence', 'interdpeendencae'), 3) self.assertEqual(shorttext.metrics.dynprog.longest_common_prefix('debug', 'debuag'), 4) def test_transposition(self): self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('independent', 'indeepndent'), 1) self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('providence', 'porvidecne'), 2) def test_insertion(self): self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('algorithm', 'algorithms'), 1) self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('algorithm', 'algoarithmm'), 2) def test_deletion(self): self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('algorithm', 'algoithm'), 1) self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('algorithm', 'algorith'), 1) self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('algorithm', 'algrihm'), 2) def test_correct(self): self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('python', 'python'), 0) self.assertEqual(shorttext.metrics.dynprog.damerau_levenshtein('sosad', 'sosad'), 0) def test_jaccard(self): self.assertAlmostEqual(shorttext.metrics.dynprog.similarity('diver', 'driver'), 5./6.) if __name__ == '__main__': unittest.main()

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94be36745556ba037d5746f2c4040fc32dba26d0

44

py

Python

pvanalytics/filtering.py

kanderso-nrel/pvanalytics

27ea3fdddaf0e885cce8b56438256b7e51e9bdea

[ "MIT", "BSD-3-Clause" ]

49

2020-02-19T19:18:27.000Z

2022-03-26T00:12:48.000Z

pvanalytics/filtering.py

kanderso-nrel/pvanalytics

27ea3fdddaf0e885cce8b56438256b7e51e9bdea

[ "MIT", "BSD-3-Clause" ]

96

2020-02-20T15:02:11.000Z

2022-03-22T22:51:15.000Z

pvanalytics/filtering.py

kanderso-nrel/pvanalytics

27ea3fdddaf0e885cce8b56438256b7e51e9bdea

[ "MIT", "BSD-3-Clause" ]

20

2020-02-18T21:40:13.000Z

2022-02-22T15:50:23.000Z

"""Functions to aid with data filtering."""

22

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null

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5

94e794ff88b59f9bc0ddd3095928805762ffa8bd

221

py

Python

httoop/six.py

spaceone/httoop

99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9

[ "MIT" ]

13

2015-01-07T19:39:02.000Z

2021-07-12T21:09:28.000Z

httoop/six.py

spaceone/httoop

99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9

[ "MIT" ]

9

2015-06-14T11:37:26.000Z

2020-12-11T09:12:30.000Z

httoop/six.py

spaceone/httoop

99f5f51a6ebab4bfdfd02d3705a0bffb5379b4a9

[ "MIT" ]

10

2015-05-28T05:51:46.000Z

2021-12-29T20:36:15.000Z

from __future__ import absolute_import from six import PY2, PY3, int2byte, iterbytes, reraise, string_types, with_metaclass __all__ = ('with_metaclass', 'reraise', 'string_types', 'iterbytes', 'int2byte', 'PY2', 'PY3')

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5

bf6e551d399a960b2e84c0eca81c74c8b6976882

134

py

Python

src/apps/list/admin.py

avibn/todovib

4052da86e27825c60be618e986c2c16a23002e3c

[ "MIT" ]

8

2021-06-27T10:39:36.000Z

2022-01-22T19:47:35.000Z

src/apps/list/admin.py

avibn/todovib

4052da86e27825c60be618e986c2c16a23002e3c

[ "MIT" ]

null

src/apps/list/admin.py

avibn/todovib

4052da86e27825c60be618e986c2c16a23002e3c

[ "MIT" ]

null

from django.contrib import admin from .models import TodoList, ListItem admin.site.register(TodoList) admin.site.register(ListItem)

19.142857

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0.820896

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134

6.111111

0.555556

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22.333333

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true

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null

0

1

0

1

0

5

bf7c2c3d9bf7d6d959e16f444603870c078b7661

30

py

Python

arxivabscraper/__init__.py

MohamedElashri/Arxiv-Aabstract-scraper

1f1087aab7488138268fd84afd0f5d60d74600a5

[ "MIT" ]

1

2021-01-03T09:30:28.000Z

arxivabscraper/__init__.py

MohamedElashri/Arxiv-Aabstract-scraper

1f1087aab7488138268fd84afd0f5d60d74600a5

[ "MIT" ]

4

2021-01-15T22:10:28.000Z

2021-01-18T00:58:37.000Z

arxivabscraper/__init__.py

MohamedElashri/Arxiv-Aabstract-scraper

1f1087aab7488138268fd84afd0f5d60d74600a5

[ "MIT" ]

null

from .arxivabscraper import *

15

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0.923077

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true

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null

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null

0

1

0

1

0

5

bfb7216a41cfcb64493428d61981eace59c2334e

142

py

Python

cyclegan/optim.py

narumiruna/cyclegan-pytorch

11e28b7d9681e9cd40ecf9ee6d0fc93076d69365

[ "MIT" ]

1

2020-03-19T07:38:42.000Z

cyclegan/optim.py

narumiruna/cyclegan-pytorch

11e28b7d9681e9cd40ecf9ee6d0fc93076d69365

[ "MIT" ]

null

cyclegan/optim.py

narumiruna/cyclegan-pytorch

11e28b7d9681e9cd40ecf9ee6d0fc93076d69365

[ "MIT" ]

null

from torch import optim from .utils import get_factory OptimFactory = get_factory(optim) SchedulerFactory = get_factory(optim.lr_scheduler)

20.285714

50

0.830986

19

142

6

0.578947

0.263158

0

0.112676

142

6

51

23.666667

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1

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false

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null

1

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1

0

null

0

1

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5

44b21bde2e78575ffc1965805681d08d01792eed

128

py

Python

nnutils/loss/_base.py

STomoya/animeface

37b3cd26097d7874559d4c152e41e5712b7a1a42

[ "MIT" ]

61

2020-06-06T08:25:09.000Z

2022-03-28T13:30:10.000Z

nnutils/loss/_base.py

OrigamiXx/animeface

8724006df99ba7ef369e837d8294350ea733611b

[ "MIT" ]

13

2020-07-02T02:41:14.000Z

2021-05-09T14:24:58.000Z

nnutils/loss/_base.py

OrigamiXx/animeface

8724006df99ba7ef369e837d8294350ea733611b

[ "MIT" ]

8

2020-10-03T18:51:16.000Z

2022-02-05T18:18:01.000Z

class Loss: def __init__(self, return_all: bool=False ) -> None: self.return_all = return_all pass

16

36

0.585938

16

128

4.25

0.6875

0.397059

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0.328125

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7

37

18.285714

0.790698

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1

0.166667

false

0.166667

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0.333333

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1

0

null

0

1

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5

44d31efc406b4e46d09485a809165fad12bb5099

67

py

Python

src/pink/__init__.py

Pix-00/olea-v2_flask_1_

7ddfa83a7a2a7dfbe55b78da002c1193f38781c0

[ "Apache-2.0" ]

null

src/pink/__init__.py

Pix-00/olea-v2_flask_1_

7ddfa83a7a2a7dfbe55b78da002c1193f38781c0

[ "Apache-2.0" ]

null

src/pink/__init__.py

Pix-00/olea-v2_flask_1_

7ddfa83a7a2a7dfbe55b78da002c1193f38781c0

[ "Apache-2.0" ]

null

from flask import Blueprint pink_bp = Blueprint('pink', __name__)

16.75

37

0.776119

9

67

5.222222

0.777778

0.553191

0

0.134328

67

3

38

22.333333

0.810345

0

0.059701

0

1

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false

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null

1

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0

null

0

1

0

1

0

5

44da4efc1ac780ca53a616e1150d729ad321aeaa

25

py

Python

hello-world.py

SergEndorfin/profile-rest-api

5f0fff9a1794022d06e16a9390d160c9ea41954a

[ "MIT" ]

null

hello-world.py

SergEndorfin/profile-rest-api

5f0fff9a1794022d06e16a9390d160c9ea41954a

[ "MIT" ]

null

hello-world.py

SergEndorfin/profile-rest-api

5f0fff9a1794022d06e16a9390d160c9ea41954a

[ "MIT" ]

null

print("hello WWWWWWWWW")

12.5

24

0.76

3

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6.333333

1

0

0.08

25

1

25

0.826087

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0.6

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true

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null

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1

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null

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1

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1

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5

78087a899b27a8b6853431499f2d608267dbfb98

49

py

Python

examples/single_file/template/{{file_name}}.py

faycheng/tpl

2e2dceb9f5259101084d77c7279d0655097954a5

[ "MIT" ]

null

examples/single_file/template/{{file_name}}.py

faycheng/tpl

2e2dceb9f5259101084d77c7279d0655097954a5

[ "MIT" ]

null

examples/single_file/template/{{file_name}}.py

faycheng/tpl

2e2dceb9f5259101084d77c7279d0655097954a5

[ "MIT" ]

null

print("{{message}}") print('{{prompt_message}}')

16.333333

27

0.632653

5

49

6

0.6

0

0.040816

49

2

28

24.5

0.638298

0

0.591837

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true

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null

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1

0

null

0

1

0

1

0

5

7871f4d954c294553d1f0cce0c1dab4c162bc966

36

py

Python

page_xml_draw/__init__.py

GBN-DBP/page-xml-draw

ecf3123b385c58286649ba5b5bddc2a9d834daf8

[ "Apache-2.0" ]

6

2021-02-01T12:45:10.000Z

2021-02-03T14:14:28.000Z

page_xml_draw/__init__.py

GBN-DBP/page-xml-draw

ecf3123b385c58286649ba5b5bddc2a9d834daf8

[ "Apache-2.0" ]

1

2021-02-17T02:02:08.000Z

page_xml_draw/__init__.py

GBN-DBP/page-xml-draw

ecf3123b385c58286649ba5b5bddc2a9d834daf8

[ "Apache-2.0" ]

null

from page_xml_draw.main import main

18

35

0.861111

7

36

4.142857

0.857143

0

0.111111

36

1

36

0.90625

0

1

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true

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null

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0

null

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1

0

1

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5

78b7763328c4f256ddc9dd3c246858ce7a214481

60

py

Python

enthought/pyface/util/fix_introspect_bug.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/pyface/util/fix_introspect_bug.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/pyface/util/fix_introspect_bug.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from pyface.util.fix_introspect_bug import *

20

44

0.816667

9

60

5.222222

1

0

0.116667

60

2

45

30

0.886792

0.2

0

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true

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

78cd73a76e210f870c0bd051ee3fa772c0396d86

107

py

Python

setuper desktop app/gui/functionpages/__init__.py

dragondjf/CloudSetuper

31aefe629f7f2d59d287981eda3e4e618ace9e9f

[ "MIT" ]

22

2015-01-08T12:54:20.000Z

2021-05-16T04:15:45.000Z

setuper desktop app/gui/functionpages/__init__.py

dragondjf/CloudSetuper

31aefe629f7f2d59d287981eda3e4e618ace9e9f

[ "MIT" ]

null

setuper desktop app/gui/functionpages/__init__.py

dragondjf/CloudSetuper

31aefe629f7f2d59d287981eda3e4e618ace9e9f

[ "MIT" ]

11

2015-01-25T01:26:45.000Z

2021-08-18T01:40:40.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- from .homepage import HomePage from .aboutpage import AboutPage

17.833333

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0.71028

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0.01087

0.140187

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33

21.4

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true

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0

1

0

1

0

5

1566e96a27d46b234aeec48e773371402c23c7e8

4,525

py

Python

releasetools.py

FelipeSillva034/android_device_xiaomi_platina

638fa4edb2c81433c109d59ae48435877be29aeb

[ "Apache-2.0" ]

6

2021-08-15T13:04:56.000Z

2022-01-29T02:54:28.000Z

releasetools.py

FelipeSillva034/android_device_xiaomi_platina

638fa4edb2c81433c109d59ae48435877be29aeb

[ "Apache-2.0" ]

null

releasetools.py

FelipeSillva034/android_device_xiaomi_platina

638fa4edb2c81433c109d59ae48435877be29aeb

[ "Apache-2.0" ]

23

2019-05-31T17:37:56.000Z

2022-01-10T14:28:22.000Z

# Copyright (C) 2009 The Android Open Source Project # Copyright (c) 2011, The Linux Foundation. All rights reserved. # Copyright (C) 2017 The LineageOS Project # Copyright (C) 2021 The PixelExperience Project # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import hashlib import common import re def FullOTA_Assertions(info): OTA_UpdateFirmware(info) return def IncrementalOTA_Assertions(info): OTA_UpdateFirmware(info) return def OTA_UpdateFirmware(info): info.script.AppendExtra('ui_print("Flashing MIUI V12.0.3.QDTMIXM firmware...");') info.script.AppendExtra('package_extract_file("install/firmware-update/cmnlib64.mbn", "/dev/block/bootdevice/by-name/cmnlib64");') info.script.AppendExtra('package_extract_file("install/firmware-update/NON-HLOS.bin", "/dev/block/bootdevice/by-name/modem");') info.script.AppendExtra('package_extract_file("install/firmware-update/cmnlib.mbn", "/dev/block/bootdevice/by-name/cmnlib");') info.script.AppendExtra('package_extract_file("install/firmware-update/hyp.mbn", "/dev/block/bootdevice/by-name/hyp");') info.script.AppendExtra('package_extract_file("install/firmware-update/BTFM.bin", "/dev/block/bootdevice/by-name/bluetooth");') info.script.AppendExtra('package_extract_file("install/firmware-update/tz.mbn", "/dev/block/bootdevice/by-name/tz");') info.script.AppendExtra('package_extract_file("install/firmware-update/keymaster64.mbn", "/dev/block/bootdevice/by-name/keymaster");') info.script.AppendExtra('package_extract_file("install/firmware-update/logfs_ufs_8mb.bin", "/dev/block/bootdevice/by-name/logfs");') info.script.AppendExtra('package_extract_file("install/firmware-update/pmic.elf", "/dev/block/bootdevice/by-name/pmic");') info.script.AppendExtra('package_extract_file("install/firmware-update/abl.elf", "/dev/block/bootdevice/by-name/abl");') info.script.AppendExtra('package_extract_file("install/firmware-update/dspso.bin", "/dev/block/bootdevice/by-name/dsp");') info.script.AppendExtra('package_extract_file("install/firmware-update/devcfg.mbn", "/dev/block/bootdevice/by-name/devcfg");') info.script.AppendExtra('package_extract_file("install/firmware-update/storsec.mbn", "/dev/block/bootdevice/by-name/storsec");') info.script.AppendExtra('package_extract_file("install/firmware-update/xbl.elf", "/dev/block/bootdevice/by-name/xbl");') info.script.AppendExtra('package_extract_file("install/firmware-update/rpm.mbn", "/dev/block/bootdevice/by-name/rpm");') info.script.AppendExtra('package_extract_file("install/firmware-update/cmnlib64.mbn", "/dev/block/bootdevice/by-name/cmnlib64bak");') info.script.AppendExtra('package_extract_file("install/firmware-update/cmnlib.mbn", "/dev/block/bootdevice/by-name/cmnlibbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/hyp.mbn", "/dev/block/bootdevice/by-name/hypbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/tz.mbn", "/dev/block/bootdevice/by-name/tzbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/keymaster64.mbn", "/dev/block/bootdevice/by-name/keymasterbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/pmic.elf", "/dev/block/bootdevice/by-name/pmicbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/abl.elf", "/dev/block/bootdevice/by-name/ablbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/devcfg.mbn", "/dev/block/bootdevice/by-name/devcfgbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/storsec.mbn", "/dev/block/bootdevice/by-name/storsecbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/xbl.elf", "/dev/block/bootdevice/by-name/xblbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/rpm.mbn", "/dev/block/bootdevice/by-name/rpmbak");') info.script.AppendExtra('package_extract_file("install/firmware-update/logo.img", "/dev/block/bootdevice/by-name/logo");')

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15815a1c3c4c498aad5b2b04b4f8a95ab6872a1f

156

py

Python

simstring/measure/__init__.py

icfly2/simstring-1

e4a57603967c5d138ce021cedc09d509f75e1933

[ "MIT" ]

null

simstring/measure/__init__.py

icfly2/simstring-1

e4a57603967c5d138ce021cedc09d509f75e1933

[ "MIT" ]

null

simstring/measure/__init__.py

icfly2/simstring-1

e4a57603967c5d138ce021cedc09d509f75e1933

[ "MIT" ]

null

from .cosine import CosineMeasure from .jaccard import JaccardMeasure from .dice import DiceMeasure from .overlap import OverlapMeasure, LeftOverlapMeasure

31.2

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158e85e21fadf959a0a12d259f79e26eb6fc64ff

169

py

Python

common/item.py

animal-breeding-zoo/typhoon-weather

762e2971889668236afef9b966c67ae1a4bbf532

[ "BSD-3-Clause" ]

null

common/item.py

animal-breeding-zoo/typhoon-weather

762e2971889668236afef9b966c67ae1a4bbf532

[ "BSD-3-Clause" ]

null

common/item.py

animal-breeding-zoo/typhoon-weather

762e2971889668236afef9b966c67ae1a4bbf532

[ "BSD-3-Clause" ]

null

import ujson class Item(object): """ """ def __init__(self, **args): self.args = args def to_json(self): return ujson.dumps(self.args)

15.363636

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0.333333

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null

1

0

null

0

1

0

1

0

5

ec699bf6c970299b6d49a9cb1a930836dd004181

271

py

Python

libres/db/models/__init__.py

seantis/libres

995ca5d802a815fbbc8dd65fddcd169f10cca584

[ "MIT" ]

10

2017-10-30T20:41:52.000Z

2022-03-15T02:20:58.000Z

libres/db/models/__init__.py

seantis/libres

995ca5d802a815fbbc8dd65fddcd169f10cca584

[ "MIT" ]

14

2015-01-14T18:15:03.000Z

2021-08-31T06:37:09.000Z

libres/db/models/__init__.py

seantis/libres

995ca5d802a815fbbc8dd65fddcd169f10cca584

[ "MIT" ]

3

2015-01-08T00:31:44.000Z

2020-06-21T13:58:34.000Z

from libres.db.models.base import ORMBase from libres.db.models.allocation import Allocation from libres.db.models.reserved_slot import ReservedSlot from libres.db.models.reservation import Reservation __all__ = ['ORMBase', 'Allocation', 'ReservedSlot', 'Reservation']

33.875

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6.352941

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0.222222

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7

67

38.714286

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null

0

1

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1

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5

ec6e46f7ca26670d019b874474879a3422607434

102

py

Python

tests/app2/awesome_people.py

kiwnix/persisting-theory

cca9c4470cf2b43f2d03b884c526dcb7d6073ee1

[ "BSD-3-Clause" ]

null

tests/app2/awesome_people.py

kiwnix/persisting-theory

cca9c4470cf2b43f2d03b884c526dcb7d6073ee1

[ "BSD-3-Clause" ]

null

tests/app2/awesome_people.py

kiwnix/persisting-theory

cca9c4470cf2b43f2d03b884c526dcb7d6073ee1

[ "BSD-3-Clause" ]

null

from ..test_registries import awesome_people @awesome_people.register class FrederikPeeters: pass

20.4

44

0.833333

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102

6.833333

0.833333

0.317073

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102

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45

20.4

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1

0

true

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1

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null

1

0

1

0

null

0

1

0

5

ec96d84aeced6f3d65c74faed8ac851fa2339546

78

py

Python

dryadic/features/data/__init__.py

ohsu-comp-bio/dryads

015f6d3186a5146809334e2490c072e675b22891

[ "MIT" ]

null

dryadic/features/data/__init__.py

ohsu-comp-bio/dryads

015f6d3186a5146809334e2490c072e675b22891

[ "MIT" ]

null

dryadic/features/data/__init__.py

ohsu-comp-bio/dryads

015f6d3186a5146809334e2490c072e675b22891

[ "MIT" ]

null

from .domains import get_protein_domains __all__ = ['get_protein_domains']

13

40

0.794872

10

78

5.4

0.6

0.37037

0.62963

0

0.128205

78

5

41

15.6

0.794118

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0.25

0

1

0

false

0

0.5

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0.5

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1

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null

1

0

1

0

null

0

1

0

5

eca7f4266eec693020fbfae7a43b506ca83ea044

69

py

Python

app/model/blog/__init__.py

LXG-Shadow/flaskweb

cc170386053e8eb83cc1dc27e38acdf4290b7427

[ "MIT" ]

null

app/model/blog/__init__.py

LXG-Shadow/flaskweb

cc170386053e8eb83cc1dc27e38acdf4290b7427

[ "MIT" ]

null

app/model/blog/__init__.py

LXG-Shadow/flaskweb

cc170386053e8eb83cc1dc27e38acdf4290b7427

[ "MIT" ]

null

from .article import article,articles from .blogInfo import blogInfo

23

37

0.84058

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69

6.444444

0.555556

0

0.115942

69

3

38

23

0.95082

0

1

0

true

0

1

0

1

0

1

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null

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1

0

null

0

1

0

1

0

1

0

5

eccad9770010cbad99ffb0378946504b4e3c9a7b

75

py

Python

captain_hook/services/patreon/__init__.py

brantje/captain_hook

dde076a96afffa2235b7d8d01d47c4e61099c6b6

[ "Apache-2.0" ]

1

2017-01-07T16:22:05.000Z

captain_hook/services/patreon/__init__.py

brantje/captain_hook

dde076a96afffa2235b7d8d01d47c4e61099c6b6

[ "Apache-2.0" ]

3

2017-02-27T00:34:19.000Z

2017-02-27T14:25:44.000Z

captain_hook/services/patreon/__init__.py

brantje/telegram-github-bot

dde076a96afffa2235b7d8d01d47c4e61099c6b6

[ "Apache-2.0" ]

null

from __future__ import absolute_import from .patreon import PatreonService

25

38

0.88

9

75

6.777778

0.666667

0

0.106667

75

2

39

37.5

0.910448

0

1

0

true

0

1

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1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

ecd00ecf18a9c6e117af1524e00829a4baae4c8b

40

py

Python

run_dummy_script.py

schwettmann/visualvocab

d6ba80dc648576baf13efcb7c778e7e4384dcacb

[ "MIT" ]

8

2021-10-15T19:45:41.000Z

2022-02-20T20:52:11.000Z

run_dummy_script.py

schwettmann/visualvocab

d6ba80dc648576baf13efcb7c778e7e4384dcacb

[ "MIT" ]

null

run_dummy_script.py

schwettmann/visualvocab

d6ba80dc648576baf13efcb7c778e7e4384dcacb

[ "MIT" ]

1

2021-12-31T01:46:54.000Z

"""A dummy script that does nothing."""

20

39

0.675

6

40

4.5

1

0

0.15

40

1

40

0.794118

0.825

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

ecdfc59f596383d482237847e4e727610b23497b

105

py

Python

alphafold/Model/__init__.py

YaoYinYing/OpenFold2

57fd3cfba0bc70a2ca4c6943ba00e1c4892c1945

[ "MIT" ]

null

alphafold/Model/__init__.py

YaoYinYing/OpenFold2

57fd3cfba0bc70a2ca4c6943ba00e1c4892c1945

[ "MIT" ]

null

alphafold/Model/__init__.py

YaoYinYing/OpenFold2

57fd3cfba0bc70a2ca4c6943ba00e1c4892c1945

[ "MIT" ]

null

from .alphafold import AlphaFold from .config import model_config from .features import AlphaFoldFeatures

35

39

0.866667

13

105

6.923077

0.538462

0

0.104762

105

3

39

35

0.957447

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

01e14da6c8873aaf447bcfb7e251dc98786f2707

125

py

Python

mail_app/admin.py

samir321-pixel/Django_Celery_With_React

9a6063e2f7397e001f896c2e64f3e4e165b38289

[ "Apache-2.0" ]

4

2021-03-08T17:08:37.000Z

2021-12-31T02:40:53.000Z

mail_app/admin.py

samir321-pixel/Django_Celery_With_React

9a6063e2f7397e001f896c2e64f3e4e165b38289

[ "Apache-2.0" ]

null

mail_app/admin.py

samir321-pixel/Django_Celery_With_React

9a6063e2f7397e001f896c2e64f3e4e165b38289

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import User_mail # Register your models here. admin.site.register(User_mail)

17.857143

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125

5.210526

0.631579

0.161616

0

0.128

125

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33

20.833333

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1

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true

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1

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null

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1

0

1

0

1

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5

bf266c60f109b86b91f55ae1d37c768f05d8077e

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py

Python

callsignlookuptools/callook/__init__.py

miaowware/callsignlookuptools

d4fa15c82c37e48b9a3945b337170b05691a3824

[ "BSD-3-Clause" ]

null

callsignlookuptools/callook/__init__.py

miaowware/callsignlookuptools

d4fa15c82c37e48b9a3945b337170b05691a3824

[ "BSD-3-Clause" ]

4

2021-04-22T02:26:42.000Z

2021-12-28T20:04:40.000Z

callsignlookuptools/callook/__init__.py

miaowware/callsignlookuptools

d4fa15c82c37e48b9a3945b337170b05691a3824

[ "BSD-3-Clause" ]

null

# here to appease mypy

11.5

22

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23

4.25

1

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1

23

0.944444

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true

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null

0

1

0

1

0

null

0

1

0

5

1753d76b755b8a7db74c7363063a8da0ec66231b

63

py

Python

packages/vaex-server/vaex/server/_version.py

mfouesneau/vaex

d0f38b4beee381744df7e02a37c329581e8bd70e

[ "MIT" ]

2

2020-12-01T09:41:54.000Z

2020-12-13T14:10:19.000Z

packages/vaex-server/vaex/server/_version.py

mfouesneau/vaex

d0f38b4beee381744df7e02a37c329581e8bd70e

[ "MIT" ]

null

packages/vaex-server/vaex/server/_version.py

mfouesneau/vaex

d0f38b4beee381744df7e02a37c329581e8bd70e

[ "MIT" ]

null

__version_tuple__ = (0, 3, 0, 'dev') __version__ = '0.3.0-dev'

21

36

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63

2.818182

0.454545

0.129032

0.193548

0.387097

0

0.111111

0.142857

63

2

37

31.5

0.462963

0

0.190476

0

1

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false

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1

0

null

0

1

0

1

0

1

0

null

0

5

1757338067278ffbe992758a535cdecbe95efb35

112

py

Python

cwf2neo/__init__.py

sintax1/cwf2neo

25a8186798a6611f91e4b39052c3baa2023fb5b1

[ "Apache-2.0" ]

1

2021-06-02T11:44:00.000Z

cwf2neo/__init__.py

sintax1/cwf2neo

25a8186798a6611f91e4b39052c3baa2023fb5b1

[ "Apache-2.0" ]

null

cwf2neo/__init__.py

sintax1/cwf2neo

25a8186798a6611f91e4b39052c3baa2023fb5b1

[ "Apache-2.0" ]

1

2021-11-27T00:33:28.000Z

import logging from .cwf2neo import CWF # NOQA logging.getLogger(__name__).addHandler(logging.NullHandler())

18.666667

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0.794643

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112

6.538462

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0

0.01

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112

5

62

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1

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true

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1

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5

176b5c2c5b490049dabb9104d5aed9c4578ffe66

549

py

Python

tests/test_text.py

johnsamuelwrites/ordia

bad7f725df91efb696290ae957eff18b54979d32

[ "Apache-2.0" ]

18

2018-09-27T13:15:20.000Z

2022-01-30T15:27:55.000Z

tests/test_text.py

johnsamuelwrites/ordia

bad7f725df91efb696290ae957eff18b54979d32

[ "Apache-2.0" ]

119

2018-05-28T10:53:58.000Z

2022-03-24T21:17:52.000Z

tests/test_text.py

johnsamuelwrites/ordia

bad7f725df91efb696290ae957eff18b54979d32

[ "Apache-2.0" ]

12

2018-06-13T16:55:59.000Z

2021-05-29T07:42:19.000Z

"""Test ordia text module.""" from ordia.text import text_to_sentences, text_to_words def test_text_to_sentences(): assert text_to_sentences('Hallo') == ['Hallo'] assert text_to_sentences('Hallo. World') == ['Hallo.', 'World'] assert text_to_sentences('Hallo.\nWorld') == ['Hallo.', 'World'] assert text_to_sentences('Hallo.\tWorld') == ['Hallo.', 'World'] assert text_to_sentences('and, e.g., hallo') == ['and, e.g., hallo'] def test_text_to_words(): assert text_to_words('e-mail to send') == ['e-mail', 'to', 'send']

32.294118

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549

4.358974

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73

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0

1

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5

17a54a9ca04aeb137f37ae26f817f835e4de00d3

40

py

Python

api/blueprints/users/views/__init__.py

mohamed040406/API

40ceb2b35271938d90e4309a6cdcf63ba0c17f0b

[ "MIT" ]

1

2021-05-01T02:25:27.000Z

api/blueprints/users/views/__init__.py

mohamed040406/API

40ceb2b35271938d90e4309a6cdcf63ba0c17f0b

[ "MIT" ]

null

api/blueprints/users/views/__init__.py

mohamed040406/API

40ceb2b35271938d90e4309a6cdcf63ba0c17f0b

[ "MIT" ]

null

from . import users, roles # noqa F401

20

39

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1

40

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true

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null

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bd8eea1de06bfa74c4d65d32068d1fe604625a0c

109

py

Python

floq/__init__.py

jakelishman/floq

d0c83b239d0c9631182cea5d69c901793d7c67c6

[ "MIT" ]

2

2021-02-01T10:43:05.000Z

2021-08-10T14:51:45.000Z

floq/__init__.py

jakelishman/floq

d0c83b239d0c9631182cea5d69c901793d7c67c6

[ "MIT" ]

9

2018-09-10T10:46:04.000Z

2018-10-10T16:48:26.000Z

floq/__init__.py

jakelishman/floq

d0c83b239d0c9631182cea5d69c901793d7c67c6

[ "MIT" ]

null

from . import optimization, system, parallel, types from .system import System System.__module__ = __name__

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1

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5

bd9602e80e0ae846fd286c73768c4cec2250456c

61

py

Python

PVT/__init__.py

Justin900429/vision-transformer

e149092efbb83c166449944137db0ee5200f9325

[ "MIT" ]

1

2021-09-01T03:29:03.000Z

PVT/__init__.py

Justin900429/vision-transformer

e149092efbb83c166449944137db0ee5200f9325

[ "MIT" ]

null

PVT/__init__.py

Justin900429/vision-transformer

e149092efbb83c166449944137db0ee5200f9325

[ "MIT" ]

null

from .pvt_block import TransformerBlock from .pvt import PVT

20.333333

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0.131148

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null

0

1

0

1

0

5

bdbbb92e9bc08046daa14658a24644ac3b76114b

221

py

Python

tradercompany/binary_operators.py

yyamaguchi/tradercompany

42036f2fd8360f448e3a45fcf7a01331f7732fb8

[ "Apache-2.0" ]

null

tradercompany/binary_operators.py

yyamaguchi/tradercompany

42036f2fd8360f448e3a45fcf7a01331f7732fb8

[ "Apache-2.0" ]

1

2021-11-19T14:51:46.000Z

tradercompany/binary_operators.py

yoshida-chem/tradercompany

42036f2fd8360f448e3a45fcf7a01331f7732fb8

[ "Apache-2.0" ]

null

def add(x, y): return x + y def diff(x, y): return x - y def multiple(x, y): return x * y def get_x(x,y): return x def get_y(x,y): return y def x_is_greater_than_y(x,y): return (x > y) * 1.0

11.631579

29

0.552036

48

221

2.416667

0.270833

0.172414

0.413793

0.387931

0.422414

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0.012987

0.303167

221

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30

12.277778

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0

null

0

1

0

null

0

1

0

1

0

5

da0318458cd37551cfc693fe824bacff0eeb9c09

23

py

Python

src/goodEvening.py

AkshayIyer12/yourMessage

eab10ac95fb7fbfdd6f331255106f9c161ab2240

[ "MIT" ]

null

src/goodEvening.py

AkshayIyer12/yourMessage

eab10ac95fb7fbfdd6f331255106f9c161ab2240

[ "MIT" ]

null

src/goodEvening.py

AkshayIyer12/yourMessage

eab10ac95fb7fbfdd6f331255106f9c161ab2240

[ "MIT" ]

3

2017-10-16T03:22:17.000Z

2019-05-11T16:48:51.000Z

print("Good evening!")

11.5

22

0.695652

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1

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null

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null

0

1

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1

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5

da0d944e25ff30a96a17c9087ba04fa0333ca2f7

173

py

Python

status/admin.py

RyanBalfanz/Django-Bingo

0ba9f893c78fae1a5fb5eb45e43b36783d930e25

[ "BSD-3-Clause" ]

9

2015-11-04T16:22:05.000Z

2021-01-27T11:02:19.000Z

status/admin.py

osundiranayoade/Django-Bingo_builder

9ca7098c28fa0a4d77c3ea62877d44230940618d

[ "BSD-3-Clause" ]

1

2021-06-10T23:18:27.000Z

status/admin.py

RyanBalfanz/Django-Bingo

0ba9f893c78fae1a5fb5eb45e43b36783d930e25

[ "BSD-3-Clause" ]

4

2015-07-13T19:22:09.000Z

2020-11-24T11:25:27.000Z

from django.contrib import admin from models import * import datetime admin.site.register(HostStats) admin.site.register(FilesystemStats) admin.site.register(NetworkStats)

21.625

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6.590909

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0.351724

0

0.080925

173

7

37

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0.91195

0

1

0

true

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null

0

1

0

1

0

5

da3be80e51a969ec274df7bfcb1adbe83cb323f0

121

py

Python

garminproj/connect/__init__.py

njkalish/garmin-proj

ecc791339e5edb9d5ceb19ec3e9c4dfc1eea641e

[ "MIT" ]

1

2020-05-06T09:09:29.000Z

garminproj/connect/__init__.py

njkalish/garmin-proj

ecc791339e5edb9d5ceb19ec3e9c4dfc1eea641e

[ "MIT" ]

3

2020-04-20T09:49:21.000Z

2020-05-10T06:09:15.000Z

garminproj/connect/__init__.py

njkalish/garmin-proj

ecc791339e5edb9d5ceb19ec3e9c4dfc1eea641e

[ "MIT" ]

2

2020-04-20T04:22:53.000Z

2020-04-27T15:19:22.000Z

from .login import get_garmin_client, garmin_client from .activities import get_activity_tcx_data, get_latest_activities

40.333333

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18

121

5.5

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121

2

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true

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null

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1

0

1

0

1

0

5

da4e7c800b10d740a000e7869469956f79647996

10,575

py

Python

pyhopper/tests/test_canceler.py

pyhopper/pyhopper

3a5a449ba36c03ba365d33f900c3ecbb2d107e6b

[ "Apache-2.0" ]

6

2021-06-21T11:25:45.000Z

2022-03-12T15:16:06.000Z

pyhopper/tests/test_canceler.py

PyHopper/PyHopper

3a5a449ba36c03ba365d33f900c3ecbb2d107e6b

[ "Apache-2.0" ]

null

pyhopper/tests/test_canceler.py

PyHopper/PyHopper

3a5a449ba36c03ba365d33f900c3ecbb2d107e6b

[ "Apache-2.0" ]

1

2021-07-07T20:56:02.000Z

# Copyright 2021 Mathias Lechner and the PyHopper team # # 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import numpy as np import sys import time import pytest import pyhopper import pyhopper.cancelers def of_inc(param): return param["a"] + param["b"] def test_simple_inc_dec(): search = pyhopper.Search( { "a": pyhopper.float(lb=0, ub=10, init=2), "b": pyhopper.float(lb=0, ub=10, init=2), } ) r1 = search.run(of_inc, direction="max", max_steps=10) assert of_inc(r1) >= 4 search = pyhopper.Search( { "a": pyhopper.float(lb=0, ub=10, init=2), "b": pyhopper.float(lb=0, ub=10, init=2), } ) r1 = search.run(of_inc, direction="min", max_steps=10) assert of_inc(r1) <= 4 def of(param, x=None): for i in range(10): yield np.random.default_rng().normal() - np.square(param["lr"] - 4) * 10 def test_simple1(): search = pyhopper.Search( { "lr": pyhopper.float( lb=0, ub=10, ) } ) r1 = search.run(of, direction="max", max_steps=10) r1 = search.run( of, direction="max", max_steps=100, canceler=pyhopper.cancelers.TopKCanceler(5) ) r1 = search.run( of, direction="max", max_steps=200, n_jobs=5, canceler=pyhopper.cancelers.TopKCanceler(5), ) def test_simple2(): search = pyhopper.Search( { "lr": pyhopper.float( lb=0, ub=10, ) } ) with pytest.raises(ValueError): search = pyhopper.Search({"lr": pyhopper.float(-1)}) r1 = search.run(of, direction="max", max_steps=10) r1 = search.run( of, direction="max", max_steps=100, canceler=pyhopper.cancelers.QuantileCanceler(50), ) r1 = search.run( of, direction="max", max_steps=100, n_jobs=5, canceler=pyhopper.cancelers.QuantileCanceler(90), ) r1 = search.run( of, direction="max", max_steps=100, canceler=pyhopper.cancelers.QuantileCanceler(0.5), ) of_counter = 0 def of_cancel_first(param, x=None): global of_counter of_counter += 1 if of_counter < 4: raise pyhopper.CancelEvaluation() return np.random.default_rng().normal() def test_exception1(): search = pyhopper.Search( { "lr": pyhopper.float( lb=0, ub=10, ) } ) r1 = search.run(of_cancel_first, direction="max", max_steps=10) assert "lr" in r1.keys() def of_nan(param, x=None): global of_counter of_counter += 1 if of_counter in [0, 1, 4, 10, 50]: return np.NaN return np.random.default_rng().normal() def test_nan(): global of_counter of_counter = 0 search = pyhopper.Search( { "lr": pyhopper.float( lb=0, ub=10, ) } ) with pytest.raises(ValueError): of_counter = 0 r1 = search.run(of_nan, direction="max", max_steps=10) of_counter = 0 r1 = search.run(of_nan, direction="max", ignore_nans=True, max_steps=10) with pytest.raises(ValueError): of_counter = 0 r1 = search.run( of_nan, direction="max", ignore_nans=True, max_steps=100, canceler=pyhopper.cancelers.QuantileCanceler(0.5), ) with pytest.raises(ValueError): of_counter = 0 r1 = search.run(of_nan, direction="max", max_steps=200, n_jobs=5) of_counter = 0 r1 = search.run(of_nan, direction="max", ignore_nans=True, n_jobs=5, max_steps=300) of_counter = 0 assert "lr" in r1.keys() def of_nan2(param, x=None): r = np.random.default_rng().normal() if r > 0.5: return np.NaN return r def test_nan_simple(): global of_counter of_counter = 0 search = pyhopper.Search( { "lr": pyhopper.float( lb=0, ub=10, ) } ) of_counter = 0 r1 = search.run(of_nan, direction="max", ignore_nans=True, max_steps=10) of_counter = 0 r1 = search.run(of_nan2, direction="max", ignore_nans=True, n_jobs=5, max_steps=200) def test_topk(): canceller = pyhopper.cancelers.TopKCanceler(3) canceller.direction = "max" assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0, 0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0, 0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False canceller.append([12, 12, 12, 12, 10]) canceller.append([20, 20, 20, 20, 20]) canceller.append([0, 0, 0, 0, 0]) canceller.append([12, 12, 10, 12, 10]) canceller.append([12, 12, 12, 12, 10]) canceller.append([12, 12, 12, 12, 10]) assert canceller.should_cancel([11]) == True assert canceller.should_cancel([11, 11]) == True assert canceller.should_cancel([11, 11, 11]) == True assert canceller.should_cancel([10, 11, 11, 11]) == True assert canceller.should_cancel([11, 11, 11, 11, 0]) == False assert canceller.should_cancel([12]) == False assert canceller.should_cancel([12, 12]) == False assert canceller.should_cancel([12, 12, 12]) == False assert canceller.should_cancel([12, 12, 12, 12]) == False assert canceller.should_cancel([12, 12, 12, 12, 12]) == False canceller.append([13, 15, 20, 13, 30]) canceller.append([15, 13, 20, 15, 30]) canceller.append([20, 15, 20, 20, 30]) canceller.append([13, 20, 13, 20, 30]) assert canceller.should_cancel([12]) == True assert canceller.should_cancel([12, 12]) == True assert canceller.should_cancel([12, 12, 12]) == True assert canceller.should_cancel([12, 12, 12, 12]) == True assert canceller.should_cancel([12, 12, 12, 12, 12]) == False assert canceller.should_cancel([50]) == False assert canceller.should_cancel([50, 20]) == False assert canceller.should_cancel([50, 20, 20]) == False assert canceller.should_cancel([50, 20, 20, 20]) == False assert canceller.should_cancel([20, 20, 20, 20, 20]) == False def test_quantile2(): canceller = pyhopper.cancelers.QuantileCanceler(50) canceller.direction = "min" assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0, 0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0, 0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False canceller.append([5, 5, 5, 5, 5]) canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) canceller.append([0, 0, 0, 0, 0]) canceller.append([0, 0, 0, 0, 0]) canceller.append([0, 0, 0, 0, 0]) canceller.append([7, 7, 7, 7, 7]) assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0, 0]) == False assert canceller.should_cancel([10, 10, 10, 10, 10]) == False assert canceller.should_cancel([10, 10, 10]) == True assert canceller.should_cancel([10]) == True assert canceller.should_cancel([10, 10]) == True def test_quantile(): canceller = pyhopper.cancelers.QuantileCanceler(50) canceller.direction = "max" assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0, 0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0, 0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False assert canceller.should_cancel([0, 0, 0]) == False canceller.append([5, 5, 5, 5, 5]) canceller.append([20, 20, 50, 20, 20]) canceller.append([0, 0, 0, 0, 0]) canceller.append([7, 7, 7, 7, 7]) canceller.append([0, 0, 0, 0, 0]) canceller.append([12, 12, 10, 12, 10]) canceller.append([12, 12, 12, 12, 10]) canceller.append([12, 12, 12, 12, 10]) canceller.append([12, 12, 12, 12, 10]) assert canceller.should_cancel([8]) == True assert canceller.should_cancel([8, 10]) == True assert canceller.should_cancel([8, 10, 0]) == True assert canceller.should_cancel([8, 10, 0, 5]) == True assert canceller.should_cancel([8, 10, 0, 5, 9]) == False assert canceller.should_cancel([12]) == False assert canceller.should_cancel([12, 12]) == False assert canceller.should_cancel([8, 10, 10]) == False assert canceller.should_cancel([8, 10, 10, 12]) == False assert canceller.should_cancel([8, 10, 10, 10]) == True canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) canceller.append([20, 20, 50, 20, 20]) assert canceller.should_cancel([12]) == True assert canceller.should_cancel([12, 12]) == True assert canceller.should_cancel([8, 10, 30]) == True assert canceller.should_cancel([8, 10, 30, 12]) == True assert canceller.should_cancel([15, 15, 30, 15, 15]) == False canceller.append([50, 50]) canceller.append([50]) for i in range(20): canceller.append([50, 100, 50]) assert canceller.should_cancel([20]) == True assert canceller.should_cancel([20, 20]) == True assert canceller.should_cancel([100]) == False assert canceller.should_cancel([100, 100]) == False if __name__ == "__main__": test_nan_simple()

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5

da519ec1158d6430b018a0c25453ce2022f7121f

229

py

Python

otokon_form/post_mail/tasks.py

bilbeyt/otokon-e_form

3be5fc79b6bedc6cee81fc3b03cb86c9c19c2c12

[ "MIT" ]

null

otokon_form/post_mail/tasks.py

bilbeyt/otokon-e_form

3be5fc79b6bedc6cee81fc3b03cb86c9c19c2c12

[ "MIT" ]

null

otokon_form/post_mail/tasks.py

bilbeyt/otokon-e_form

3be5fc79b6bedc6cee81fc3b03cb86c9c19c2c12

[ "MIT" ]

null

from __future__ import absolute_import from celery import shared_task from django.core.mail import send_mail @shared_task def send(title, content, sender, to): send_mail(title, content, sender, (to,), fail_silently=False)

22.9

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5

da72c417f102ec45f45c53f4c0c261eb344b5b5e

78,960

py

Python

starsim/nbspectra.py

dbarochlopez/starsim

add1c930e6506958dc57d2c815069462797a9dcb

[ "MIT" ]

null

starsim/nbspectra.py

dbarochlopez/starsim

add1c930e6506958dc57d2c815069462797a9dcb

[ "MIT" ]

null

starsim/nbspectra.py

dbarochlopez/starsim

add1c930e6506958dc57d2c815069462797a9dcb

[ "MIT" ]

null

#NUMBA ############################################ import numba as nb import numpy as np import math as m @nb.njit def dummy(): return None @nb.njit(cache=True,error_model='numpy') def fit_multiplicative_offset_jitter(x0,f,y,dy): off=x0[0] jit=x0[1] newerr=np.sqrt((dy)**2+jit**2)/off lnL=-0.5*np.sum(((y/off-f)/(newerr))**2.0+np.log(2.0*np.pi)+np.log(newerr**2)) return -lnL @nb.njit(cache=True,error_model='numpy') def fit_only_multiplicative_offset(x0,f,y,dy): off=x0 lnL=-0.5*np.sum(((y/off-f)/(dy/off))**2.0+np.log(2.0*np.pi)+np.log((dy/off)**2)) return -lnL @nb.njit(cache=True,error_model='numpy') def fit_linear_offset_jitter(x0,f,y,dy): off=x0[0] jit=x0[1] lnL=-0.5*np.sum(((y-off-f)/(np.sqrt(dy**2+jit**2)))**2.0+np.log(2.0*np.pi)+np.log(dy**2+jit**2)) return -lnL @nb.njit(cache=True,error_model='numpy') def fit_only_linear_offset(x0,f,y,dy): off=x0 lnL=-0.5*np.sum(((y-off-f)/(dy))**2.0+np.log(2.0*np.pi)+np.log(dy**2)) return -lnL @nb.njit(cache=True,error_model='numpy') def fit_only_jitter(x0,f,y,dy): jit=x0 lnL=-0.5*np.sum(((y-f)/(np.sqrt(dy**2+jit**2)))**2.0+np.log(2.0*np.pi)+np.log(dy**2+jit**2)) return -lnL @nb.njit(cache=True,error_model='numpy') def _coeff_mat(x, deg): mat_ = np.zeros(shape=(x.shape[0],deg + 1)) const = np.ones_like(x) mat_[:,0] = const mat_[:, 1] = x if deg > 1: for n in range(2, deg + 1): mat_[:, n] = x**n return mat_ @nb.njit(cache=True,error_model='numpy') def _fit_x(a, b): # linalg solves ax = b det_ = np.linalg.lstsq(a, b)[0] return det_ @nb.njit(cache=True,error_model='numpy') def fit_poly(x, y, deg,w): a = _coeff_mat(x, deg)*w.reshape(-1,1) p = _fit_x(a, y*w) # Reverse order so p[0] is coefficient of highest order return p[::-1] ##################################################### ############# UTILITIES ############################# ##################################################### @nb.njit(cache=True,error_model='numpy') def gaussian(x, amplitude, mean, stddev): return amplitude * np.exp(-(x-mean)**2/(2*stddev**2)) @nb.njit(cache=True,error_model='numpy') def gaussian2(x, amplitude, mean, stddev,C): return C + amplitude * np.exp(-(x-mean)**2/(2*stddev**2)) @nb.njit(cache=True,error_model='numpy') def normalize_spectra_nb(bins,wavelength,flux): x_bin=np.zeros(len(bins)-1) y_bin=np.zeros(len(bins)-1) for i in range(len(bins)-1): idxup = wavelength>bins[i] idxdown= wavelength<bins[i+1] idx=idxup & idxdown y_bin[i]=flux[idx].max() x_bin[i]=wavelength[idx][np.argmax(flux[idx])] #divide by 6th deg polynomial return x_bin, y_bin @nb.njit(cache=True,error_model='numpy') def interpolation_nb(xp,x,y,left=0,right=0): # Create result array yp=np.zeros(len(xp)) minx=x[0] maxx=x[-1] lastidx=1 for i,xi in enumerate(xp): if xi<minx: #extrapolate left yp[i]=left elif xi>maxx: #extrapolate right yp[i]=right else: for j in range(lastidx,len(x)): #per no fer el loop sobre tota la x, ja que esta sorted sempre comenso amb lanterior. if x[j]>xi: #Trobo el primer x mes gran que xj. llavors utilitzo x[j] i x[j-1] per interpolar yp[i]=y[j-1]+(xi-x[j-1])*(y[j]-y[j-1])/(x[j]-x[j-1]) lastidx=j break return yp @nb.njit(cache=True,error_model='numpy') def cross_correlation_nb(rv,wv,flx,wv_ref,flx_ref): #Compute the CCF against the reference spectrum. Can be optimized. ccf=np.zeros(len(rv)) #initialize ccf lenf=len(flx_ref) for i in range(len(rv)): wvshift=wv_ref*(1.0+rv[i]/2.99792458e8) #shift ref spectrum, in m/s # fshift=np.interp(wvshift,wv,flx) fshift = interpolation_nb(wvshift,wv,flx,left=0,right=0) ccf[i]=np.sum(flx_ref*fshift)/lenf #compute ccf return (ccf-np.min(ccf))/np.max((ccf-np.min(ccf))) @nb.njit(cache=True,error_model='numpy') def cross_correlation_mask(rv,wv,f,wvm,fm): ccf = np.zeros(len(rv)) lenm = len(wvm) wvmin=wv[0] for i in range(len(rv)): wvshift=wvm*(1.0+rv[i]/2.99792458e8) #shift ref spectrum, in m/s #for each mask line for j in range(lenm): #find wavelengths right and left of the line. wvline=wvshift[j] if wvline<3000.0: idxlf = int((wvline-wvmin)/0.1) elif wvline<4999.986: if wvmin<3000.0: idxlf = np.round(int((3000.0-wvmin)/0.1)) + int((wvline-3000.0)/0.006) else: idxlf = int((wvline-wvmin)/0.006) elif wvline<5000.0: if wvmin<3000.0: idxlf = np.round(int((3000.0-wvmin)/0.1)) + int((4999.986-3000.0)/0.006) + 1 else: idxlf = int((4999.986-wvmin)/0.006) + 1 elif wvline<10000.0: if wvmin<3000.0: idxlf = np.round(int((3000.0-wvmin)/0.1)) + int((4999.986-3000.0)/0.006) + 1 + int((wvline-5000.0)/0.01) elif wvmin<4999.986: idxlf = int((4999.986-wvmin)/0.006) + 1 + int((wvline-5000.0)/0.01) else: idxlf = int((wvline-wvmin)/0.01) elif wvline<15000.0: if wvmin<3000.0: idxlf = np.round(int((3000.0-wvmin)/0.1)) + int((4999.986-3000.0)/0.006) + 1 + int((10000.0-5000.0)/0.01) + int((wvline-10000.0)/0.02) elif wvmin<4999.986: idxlf = int((4999.986-wvmin)/0.006) + 1 + int((10000-5000.0)/0.01) + int((wvline-10000.0)/0.02) elif wvmin<10000.0: idxlf = int((10000.0-wvmin)/0.01) + int((wvline-10000.0)/0.02) else: idxlf = int((wvline-wvmin)/0.02) else: if wvmin<3000.0: idxlf = np.round(int((3000.0-wvmin)/0.1)) + int((4999.986-3000.0)/0.006) + 1 + int((10000.0-5000.0)/0.01) + int((15000.0-10000.0)/0.02) + int((wvline-15000.0)/0.03) elif wvmin<4999.986: idxlf = int((4999.986-wvmin)/0.006) + 1 + int((10000-5000.0)/0.01) + int((15000-10000.0)/0.02) + int((wvline-15000.0)/0.03) elif wvmin<10000.0: idxlf = int((10000.0-wvmin)/0.01) + int((15000-10000.0)/0.02) + int((wvline-15000.0)/0.03) elif wvmin<15000.0: idxlf = int((15000-wvmin)/0.02) + int((wvline-15000.0)/0.03) else: idxlf = int((wvline-wvmin)/0.03) idxrg = idxlf + 1 diffwv=wv[idxrg]-wv[idxlf] #pixel size in wavelength midpix=(wv[idxrg]+wv[idxlf])/2 #wavelength between the two pixels leftmask = wvline - diffwv/2 #left edge of the mask rightmask = wvline + diffwv/2 #right edge of the mask frac1 = (midpix - leftmask)/diffwv #fraction of the mask ovelapping the left pixel frac2 = (rightmask - midpix)/diffwv #fraction of the mask overlapping the right pixel midleft = (leftmask + midpix)/2 #central left overlapp midright = (rightmask + midpix)/2 #central wv right overlap f1 = f[idxlf] + (midleft-wv[idxlf])*(f[idxrg]-f[idxlf])/(diffwv) f2 = f[idxlf] + (midright-wv[idxlf])*(f[idxrg]-f[idxlf])/(diffwv) ccf[i]=ccf[i] - f1*fm[j]*frac1 - f2*fm[j]*frac2 return (ccf-np.min(ccf))/np.max((ccf-np.min(ccf))) @nb.njit(cache=True,error_model='numpy') def weight_mask(wvi,wvf,o_weight,wvm,fm): j=0 maxj=len(wvi) for i in range(len(wvm)): if wvm[i]<wvi[j]: fm[i]=0.0 elif wvm[i]>=wvi[j] and wvm[i]<=wvf[j]: fm[i]=fm[i]*o_weight[j] elif wvm[i]>wvf[j]: j+=1 if j>=maxj: fm[i]=0.0 break else: i-=1 return wvm, fm @nb.njit(cache=True,error_model='numpy') def polar2colatitude_nb(r,a,i): '''Enters the polars coordinates and the inclination i (with respect to the north pole, i=0 makes transits, 90-(inclination defined in exoplanets)) Returns the colatitude in the star (90-latitude) ''' a=a*m.pi/180. i=-i #negative to make the rotation toward the observer. theta=m.acos(r*m.sin(a)*m.cos(i)-m.sin(i)*m.sqrt(1-r*r)) return theta @nb.njit(cache=True,error_model='numpy') def polar2longitude_nb(r,a,i): '''Enters the polars coordinates and the inclination i (with respect to the north pole, i=0 makes transits, 90-(inclination defined in exoplanets)) Returns the longitude in the star (from -90 to 90) ''' a=a*m.pi/180. i=-i #negative to make the rotation toward the observer. h=m.sqrt((1.-(r*m.cos(a))**2.)/(m.tan(i)**2.+1.)) #heigh of the terminator (long=pi/2) if r*np.sin(a)>h: phi=m.asin(-r*m.cos(a)/m.sqrt(1.-(r*m.sin(a)*m.cos(i)-m.sin(i)*m.sqrt(1.-r*r))**2.))+m.pi #to correct for mirroring of longitudes in the terminator else: phi=m.asin(r*m.cos(a)/m.sqrt(1.-(r*m.sin(a)*m.cos(i)-m.sin(i)*m.sqrt(1.-r*r))**2.)) return phi @nb.njit(cache=True,error_model='numpy') def speed_bisector_nb(rv,ccf,integrated_bis): ''' Fit the bisector of the CCF with a 5th deg polynomial ''' idxmax=ccf.argmax() maxccf=ccf[idxmax] maxrv=rv[idxmax] xnew = rv ynew = ccf cutleft=0 cutright=len(ynew)-1 # if not integrated_bis: #cut the CCF at the minimum of the wings only for reference CCF, if not there are errors. for i in range(len(ynew)): if xnew[i]>maxrv: if ynew[i]>ynew[i-1]: cutright=i break for i in range(len(ynew)): if xnew[-1-i]<maxrv: if ynew[-1-i]>ynew[-i]: cutleft=len(ynew)-i break xnew=xnew[cutleft:cutright] ynew=ynew[cutleft:cutright] minright=np.min(ynew[xnew>maxrv]) minleft=np.min(ynew[xnew<maxrv]) minccf=np.max(np.array([minright,minleft])) ybis=np.linspace(minccf+0.01*(maxccf-minccf),0.999*maxccf,50) #from 5% to maximum xbis=np.zeros(len(ybis)) for i in range(len(ybis)): for j in range(len(ynew)-1): if ynew[j]<ybis[i] and ynew[j+1]>ybis[i] and xnew[j]<maxrv: rv1=xnew[j]+(xnew[j+1]-xnew[j])*(ybis[i]-ynew[j])/(ynew[j+1]-ynew[j]) if ynew[j]>ybis[i] and ynew[j+1]<ybis[i] and xnew[j+1]>maxrv: rv2=xnew[j]+(xnew[j+1]-xnew[j])*(ybis[i]-ynew[j])/(ynew[j+1]-ynew[j]) xbis[i]=(rv1+rv2)/2.0 #bisector # xbis[-1]=maxrv #at the top should be max RV return cutleft,cutright,xbis,ybis @nb.njit(cache=True,error_model='numpy') def limb_darkening_law(LD_law,LD1,LD2,amu): if LD_law == 'linear': mu=1-LD1*(1-amu) elif LD_law == 'quadratic': a=2*np.sqrt(LD1)*LD2 b=np.sqrt(LD1)*(1-2*LD2) mu=1-a*(1-amu)-b*(1-amu)**2 elif LD_law == 'sqrt': a=np.sqrt(LD1)*(1-2*LD2) b=2*np.sqrt(LD1)*LD2 mu=1-a*(1-amu)-b*(1-np.sqrt(amu)) elif LD_law == 'log': a=LD2*LD1**2+1 b=LD1**2-1 mu=1-a*(1-amu)-b*amu*(1-np.log(amu)) else: print('LD law not valid.') return mu @nb.njit(cache=True,error_model='numpy') def compute_spot_position(t,spot_map,ref_time,Prot,diff_rot,Revo,Q): pos=np.zeros((len(spot_map),4)) for i in range(len(spot_map)): tini = spot_map[i][0] #time of spot apparence dur = spot_map[i][1] #duration of the spot tfin = tini + dur #final time of spot colat = spot_map[i][2] #colatitude lat = 90 - colat #latitude longi = spot_map[i][3] #longitude Rcoef = spot_map[i][4:7] #coefficients for the evolution od the radius. Depends on the desired law. pht = longi + (t-ref_time)/Prot%1*360 #update longitude adding diff rotation phsr= pht + (t-ref_time)*diff_rot*(1.698*m.sin(np.deg2rad(lat))**2+2.346*m.sin(np.deg2rad(lat))**4) if Revo == 'constant': if t>=tini and t<=tfin: rad=Rcoef[0] else: rad=0.0 elif Revo == 'linear': if t>=tini and t<=tfin: rad=Rcoef[0]+(t-tini)*(Rcoef[1]-Rcoef[0])/dur else: rad=0.0 elif Revo == 'quadratic': if t>=tini and t<=tfin: rad=-4*Rcoef[0]/(dur*(1-2*tini))*(t-tini)*(t-tini-dur) else: rad=0.0 else: print('Spot evolution law not implemented yet. Only constant and linear are implemented.') if Q!=0.0: #to speed up the code when no fac are present rad_fac=np.deg2rad(rad)*m.sqrt(1+Q) else: rad_fac=0.0 pos[i]=np.array([np.deg2rad(colat), np.deg2rad(phsr), np.deg2rad(rad), rad_fac]) #return position and radii of spots at t in radians. return pos @nb.njit(cache=True,error_model='numpy') def compute_planet_pos(t,esinw,ecosw,T0p,Pp,rad_pl,b,a,alp): if(esinw==0 and ecosw==0): ecc=0 omega=0 else: ecc=m.sqrt(esinw**2+ecosw**2) omega=m.atan2(esinw,ecosw) t_peri = Ttrans_2_Tperi(T0p,Pp, ecc, omega) sinf,cosf=true_anomaly(t,Pp,ecc,t_peri) cosftrueomega=cosf*m.cos(omega+m.pi/2)-sinf*m.sin(omega+np.pi/2) #cos(f+w)=cos(f)*cos(w)-sin(f)*sin(w) sinftrueomega=cosf*m.sin(omega+m.pi/2)+sinf*m.cos(omega+np.pi/2) #sin(f+w)=cos(f)*sin(w)+sin(f)*cos(w) if cosftrueomega>0.0: return np.array([1+rad_pl*2, 0.0, rad_pl]) #avoid secondary transits cosi = (b/a)*(1+esinw)/(1-ecc**2) #cosine of planet inclination (i=90 is transit) rpl=a*(1-ecc**2)/(1+ecc*cosf) xpl=rpl*(-m.cos(alp)*sinftrueomega-m.sin(alp)*cosftrueomega*cosi) ypl=rpl*(m.sin(alp)*sinftrueomega-m.cos(alp)*cosftrueomega*cosi) rhopl=m.sqrt(ypl**2+xpl**2) thpl=m.atan2(ypl,xpl) pos=np.array([rhopl, thpl, rad_pl],dtype=np.float64) #rho, theta, and radii (in Rstar) of the planet return pos @nb.njit(cache=True,error_model='numpy') def Ttrans_2_Tperi(T0, P, e, w): f = m.pi/2 - w E = 2 * m.atan(m.tan(f/2.) * m.sqrt((1.-e)/(1.+e))) # eccentric anomaly Tp = T0 - P/(2*np.pi) * (E - e*m.sin(E)) # time of periastron return Tp @nb.njit(cache=True,error_model='numpy') def true_anomaly(x,period,ecc,tperi): fmean=2.0*m.pi*(x-tperi)/period #Solve by Newton's method x(n+1)=x(n)-f(x(n))/f'(x(n)) fecc=fmean diff=1.0 while(diff>1.0E-6): fecc_0=fecc fecc=fecc_0-(fecc_0-ecc*m.sin(fecc_0)-fmean)/(1.0-ecc*m.cos(fecc_0)) diff=m.fabs(fecc-fecc_0) sinf=m.sqrt(1.0-ecc*ecc)*m.sin(fecc)/(1.0-ecc*m.cos(fecc)) cosf=(m.cos(fecc)-ecc)/(1.0-ecc*m.cos(fecc)) return sinf, cosf ######################################################################################## ######################################################################################## # SPECTROSCOPY FUNCTIONS FOR SPHERICAL GRID # ######################################################################################## ######################################################################################## #with this the x and y width of each grid is the same, thus the area of the grids is similar in all the sphere, avoiding an over/under sampling of the poles/center @nb.njit(cache=True,error_model='numpy') def generate_grid_coordinates_nb(N): Nt=2*N-1 #N is number og concentric rings. Nt is counting them two times minus the center one. width=180.0/(2*N-1) #width of one grid element. centres=np.append(0,np.linspace(width,90-width/2,N-1)) #latitudes of the concentric grids anglesout=np.linspace(0,360-width,2*Nt) #longitudes of the grid in the equator. The pole ofthe grid faces the observer. radi=np.sin(np.pi*centres/180) #projected polar radius of the ring. amu=np.cos(np.pi*centres/180) #amus ts=[0.0] #central grid alphas=[0.0] #central grid area=[2.0*np.pi*(1.0-np.cos(width*np.pi/360.0))] #area central element parea=[np.pi*np.sin(width*np.pi/360.0)**2] Ngrid_in_ring=[1] for i in range(1,len(amu)): #for each ring except firs Nang=int(round(len(anglesout)*(radi[i]))) #Number of longitudes to have grids of same width w=360/Nang #width i angles Ngrid_in_ring.append(Nang) angles=np.linspace(0,360-w,Nang) area.append(radi[i]*width*w*np.pi*np.pi/(180*180)) #area of each grid parea.append(amu[i]*area[-1]) #PROJ. AREA OF THE GRID for j in range(Nang): ts.append(centres[i]) #latitude alphas.append(angles[j]) #longitude alphas=np.array(alphas) #longitude of grid (pole faces observer) ts=np.array(ts) #colatitude of grid Ngrids=len(ts) #number of grids rs = np.sin(np.pi*ts/180) #projected polar radius of grid xs = np.cos(np.pi*ts/180) #grid elements in cartesian coordinates. Note that pole faces the observer. ys = rs*np.sin(np.pi*alphas/180) zs = -rs*np.cos(np.pi*alphas/180) return Ngrids,Ngrid_in_ring, centres, amu, rs, alphas, xs, ys, zs, area, parea @nb.njit(cache=True,error_model='numpy') def loop_compute_immaculate_nb(N,Ngrid_in_ring,ccf_tot,rvel,rv,rvs_ring,ccf_ring): #CCF of each pixel, adding doppler and interpolating iteration=0 #Compute the position of the grid projected on the sphere and its radial velocity. for i in range(0,N): #Loop for each ring. for j in range(Ngrid_in_ring[i]): #loop for each grid in the ring ccf_tot[iteration,:]=ccf_tot[iteration,:]+interpolation_nb(rv,rvs_ring[i,:] + rvel[iteration],ccf_ring[i,:],ccf_ring[i,0],ccf_ring[i,-1]) iteration=iteration+1 return ccf_tot @nb.njit(cache=True,error_model='numpy') def loop_generate_rotating_nb(N,Ngrid_in_ring,pare,amu,spot_pos,vec_grid,vec_spot,simulate_planet,planet_pos,ccf_ph,ccf_sp,ccf_fc,ccf_ph_tot,vis): #define things width=np.pi/(2*N-1) #width of one grid element, in radiants ccf_tot = ccf_ph_tot vis_spots_idx=[] for i in range(len(vis)-1): if vis[i]==1.0: vis_spots_idx.append(i) ###################### CENTRAL GRID ############################### #Central grid is different since it is a circle. initialize values. #################################################################### dsp=0.0 #fraction covered by each spot dfc=0.0 asp=0.0 #fraction covered by all spots afc=0.0 apl=0.0 iteration = 0 for l in vis_spots_idx: #for each spot if spot_pos[l][2]==0.0: continue dist=m.acos(np.dot(vec_grid[iteration],vec_spot[l])) #compute the distance to the grid if dist>(width/2+spot_pos[l][2]): dsp=0.0 else: if (width/2)<spot_pos[l][2]: #if the spot can cover completely the grid, two cases: if dist<=spot_pos[l][2]-(width/2): #grid completely covered dsp=1.0 else: #grid partially covered dsp=-(dist-spot_pos[l][2]-width/2)/width else: #the grid can completely cover the spot, two cases: if dist<=(width/2-spot_pos[l][2]): #all the spot is inside the grid dsp=(2*spot_pos[l][2]/width)**2 else: #grid partially covered dsp=-2*spot_pos[l][2]*(dist-width/2-spot_pos[l][2])/width**2 asp+=dsp #FACULA if spot_pos[l][3]==0.0: #if radius=0, there is no facula, jump to next spot with continue continue if dist>(width/2+spot_pos[l][3]): dfc=0.0 else: if (width/2)<spot_pos[l][3]: #if the spot can cover completely the grid, two cases: if dist<=spot_pos[l][3]-(width/2): #grid completely covered dfc=1.0 - dsp else: #grid partially covered dfc=-(dist-spot_pos[l][3]-width/2)/width - dsp else: #if the grid can completely cover the spot, two cases: if dist<=(width/2-spot_pos[l][3]): #all the spot is inside the grid dfc=(2*spot_pos[l][3]/width)**2 - dsp else: #grid partially covered dfc =-2*spot_pos[l][3]*(dist-width/2-spot_pos[l][3])/width**2 - dsp afc+=dfc #PLANET if simulate_planet: if vis[-1]==1.0: dist=m.sqrt((planet_pos[0]*m.cos(planet_pos[1]) - vec_grid[iteration,1])**2 + ( planet_pos[0]*m.sin(planet_pos[1]) - vec_grid[iteration,2] )**2) #grid-planet distance width2=2*m.sin(width/2) if dist>width2/2+planet_pos[2]: apl=0.0 elif dist<planet_pos[2]-width2/2: apl=1.0 else: apl=-(dist-planet_pos[2]-width2/2)/width2 if afc>1.0: afc=1.0 if asp>1.0: asp=1.0 afc=0.0 if apl>0.0: asp=asp*(1-apl) afc=afc*(1-apl) aph=1-asp-afc-apl #add the corresponding ccf to the total CCF ccf_tot = ccf_tot - (1-aph)*ccf_ph[iteration] + asp*ccf_sp[iteration] + afc*ccf_fc[iteration] Aph=aph*pare[0] Asp=asp*pare[0] Afc=afc*pare[0] Apl=apl*pare[0] typ=[[aph,asp,afc,apl]] ############### OTHER GRIDS ####################### # NOW DO THE SAME FOR THE REST OF GRIDS ################################################### for i in range(1,N): #Loop for each ring. for j in range(Ngrid_in_ring[i]): #Loop for each grid iteration+=1 dsp=0.0 #fraction covered by each spot dfc=0.0 asp=0.0 #fraction covered by all spots afc=0.0 apl=0.0 for l in vis_spots_idx: if spot_pos[l][2]==0.0: #if radius=0, there is no spot, jump to next spot with continue continue dist=m.acos(np.dot(vec_grid[iteration],vec_spot[l])) #distance between spot centre and grid,multiplying two unit vectors #SPOT if dist>(width/2+spot_pos[l][2]): #grid not covered dsp=0.0 else: if (width/m.sqrt(2))<spot_pos[l][2]: #if the spot can cover completely the grid, two cases: if dist<=(m.sqrt(spot_pos[l][2]**2-(width/2)**2)-width/2): #grid completely covered dsp=1.0 else: #grid partially covered dsp=-(dist-spot_pos[l][2]-width/2)/(width+spot_pos[l][2]-m.sqrt(spot_pos[l][2]**2-(width/2)**2)) elif (width/2)>spot_pos[l][2]: #if the grid can completely cover the spot, two cases: if dist<=(width/2-spot_pos[l][2]): #all the spot is inside the grid dsp=(np.pi/4)*(2*spot_pos[l][2]/width)**2 else: #grid partially covered dsp=(np.pi/4)*((2*spot_pos[l][2]/width)**2-(2*spot_pos[l][2]/width**2)*(dist-width/2+spot_pos[l][2])) else: #if the spot is larger than the grid but not enough to cover it, grid partially covered by the spot A1=(width/2)*m.sqrt(spot_pos[l][2]**2-(width/2)**2) A2=(spot_pos[l][2]**2/2)*(m.pi/2-2*m.asin(m.sqrt(spot_pos[l][2]**2-(width/2)**2)/spot_pos[l][2])) Ar=4*(A1+A2)/width**2 dsp=-Ar*(dist-width/2-spot_pos[l][2])/(width/2+spot_pos[l][2]) asp+=dsp #FACULA if spot_pos[l][3]==0.0: #if radius=0, there is no facula, jump to next spot with continue continue if dist>(width/2+spot_pos[l][3]): #grid not covered by faculae dfc=0.0 else: if (width/m.sqrt(2))<spot_pos[l][3]: #if the spot can cover completely the grid, two cases: if dist<=(m.sqrt(spot_pos[l][3]**2-(width/2)**2)-width/2): #grid completely covered dfc=1.0-dsp #subtract spot else: #grid partially covered dfc=-(dist-spot_pos[l][3]-width/2)/(width+spot_pos[l][3]-m.sqrt(spot_pos[l][3]**2-(width/2)**2))-dsp elif (width/2)>spot_pos[l][3]: #if the grid can completely cover the spot, two cases: if dist<=(width/2-spot_pos[l][3]): #all the spot is inside the grid dfc=(np.pi/4)*(2*spot_pos[l][3]/width)**2-dsp else: #grid partially covered dfc=(np.pi/4)*((2*spot_pos[l][3]/width)**2-(2*spot_pos[l][3]/width**2)*(dist-width/2+spot_pos[l][3]))-dsp else: #if the spot is larger than the grid but not enough to cover it, grid partially covered by the spot A1=(width/2)*m.sqrt(spot_pos[l][3]**2-(width/2)**2) A2=(spot_pos[l][3]**2/2)*(m.pi/2-2*m.asin(m.sqrt(spot_pos[l][3]**2-(width/2)**2)/spot_pos[l][3])) Ar=4*(A1+A2)/width**2 dfc=-Ar*(dist-width/2-spot_pos[l][3])/(width/2+spot_pos[l][3])-dsp afc+=dfc #PLANET if simulate_planet: if vis[-1]==1.0: dist=m.sqrt((planet_pos[0]*m.cos(planet_pos[1]) - vec_grid[iteration,1])**2 + ( planet_pos[0]*m.sin(planet_pos[1]) - vec_grid[iteration,2] )**2) #grid-planet distance width2=amu[i]*width if dist>width2/2+planet_pos[2]: apl=0.0 elif dist<planet_pos[2]-width2/2: apl=1.0 else: apl=-(dist-planet_pos[2]-width2/2)/width2 if afc>1.0: afc=1.0 if asp>1.0: asp=1.0 afc=0.0 if apl>0.0: asp=asp*(1-apl) afc=afc*(1-apl) aph=1-asp-afc-apl #add the corresponding ccf to the total CCF ccf_tot = ccf_tot - (1-aph)*ccf_ph[iteration] + asp*ccf_sp[iteration] + afc*ccf_fc[iteration] Aph=Aph+aph*pare[i] Asp=Asp+asp*pare[i] Afc=Afc+afc*pare[i] Apl=Apl+apl*pare[i] typ.append([aph,asp,afc,apl]) return ccf_tot,typ, Aph, Asp, Afc, Apl @nb.njit(cache=True,error_model='numpy') def loop_generate_rotating_lc_nb(N,Ngrid_in_ring,pare,amu,spot_pos,vec_grid,vec_spot,simulate_planet,planet_pos,bph,bsp,bfc,flxph,vis): #define things width=np.pi/(2*N-1) #width of one grid element, in radiants flux = flxph vis_spots_idx=[] for i in range(len(vis)-1): if vis[i]==1.0: vis_spots_idx.append(i) ###################### CENTRAL GRID ############################### #Central grid is different since it is a circle. initialize values. #################################################################### dsp=0.0 #fraction covered by each spot dfc=0.0 asp=0.0 #fraction covered by all spots afc=0.0 apl=0.0 iteration = 0 for l in vis_spots_idx: #for each spot if spot_pos[l][2]==0.0: continue dist=m.acos(np.dot(vec_grid[iteration],vec_spot[l])) #compute the distance to the grid if dist>(width/2+spot_pos[l][2]): dsp=0.0 else: if (width/2)<spot_pos[l][2]: #if the spot can cover completely the grid, two cases: if dist<=spot_pos[l][2]-(width/2): #grid completely covered dsp=1.0 else: #grid partially covered dsp=-(dist-spot_pos[l][2]-width/2)/width else: #the grid can completely cover the spot, two cases: if dist<=(width/2-spot_pos[l][2]): #all the spot is inside the grid dsp=(2*spot_pos[l][2]/width)**2 else: #grid partially covered dsp=-2*spot_pos[l][2]*(dist-width/2-spot_pos[l][2])/width**2 asp+=dsp #FACULA if spot_pos[l][3]==0.0: #if radius=0, there is no facula, jump to next spot with continue continue if dist>(width/2+spot_pos[l][3]): dfc=0.0 else: if (width/2)<spot_pos[l][3]: #if the spot can cover completely the grid, two cases: if dist<=spot_pos[l][3]-(width/2): #grid completely covered dfc=1.0 - dsp else: #grid partially covered dfc=-(dist-spot_pos[l][3]-width/2)/width - dsp else: #if the grid can completely cover the spot, two cases: if dist<=(width/2-spot_pos[l][3]): #all the spot is inside the grid dfc=(2*spot_pos[l][3]/width)**2 - dsp else: #grid partially covered dfc =-2*spot_pos[l][3]*(dist-width/2-spot_pos[l][3])/width**2 - dsp afc+=dfc #PLANET if simulate_planet: if vis[-1]==1.0: dist=m.sqrt((planet_pos[0]*m.cos(planet_pos[1]) - vec_grid[iteration,1])**2 + ( planet_pos[0]*m.sin(planet_pos[1]) - vec_grid[iteration,2] )**2) #grid-planet distance width2=2*m.sin(width/2) if dist>width2/2+planet_pos[2]: apl=0.0 elif dist<planet_pos[2]-width2/2: apl=1.0 else: apl=-(dist-planet_pos[2]-width2/2)/width2 if afc>1.0: afc=1.0 if asp>1.0: asp=1.0 afc=0.0 if apl>0.0: asp=asp*(1-apl) afc=afc*(1-apl) aph=1-asp-afc-apl #add the corresponding flux to the total flux flux = flux - (1-aph)*bph[i]+asp*bsp[i]+bfc[i]*afc Aph=aph*pare[0] Asp=asp*pare[0] Afc=afc*pare[0] Apl=apl*pare[0] typ=[[aph,asp,afc,apl]] ############### OTHER GRIDS ####################### # NOW DO THE SAME FOR THE REST OF GRIDS ################################################### for i in range(1,N): #Loop for each ring. for j in range(Ngrid_in_ring[i]): #Loop for each grid iteration+=1 dsp=0.0 #fraction covered by each spot dfc=0.0 asp=0.0 #fraction covered by all spots afc=0.0 apl=0.0 for l in vis_spots_idx: if spot_pos[l][2]==0.0: #if radius=0, there is no spot, jump to next spot with continue continue dist=m.acos(np.dot(vec_grid[iteration],vec_spot[l])) #distance between spot centre and grid,multiplying two unit vectors #SPOT if dist>(width/2+spot_pos[l][2]): #grid not covered dsp=0.0 else: if (width/m.sqrt(2))<spot_pos[l][2]: #if the spot can cover completely the grid, two cases: if dist<=(m.sqrt(spot_pos[l][2]**2-(width/2)**2)-width/2): #grid completely covered dsp=1.0 else: #grid partially covered dsp=-(dist-spot_pos[l][2]-width/2)/(width+spot_pos[l][2]-m.sqrt(spot_pos[l][2]**2-(width/2)**2)) elif (width/2)>spot_pos[l][2]: #if the grid can completely cover the spot, two cases: if dist<=(width/2-spot_pos[l][2]): #all the spot is inside the grid dsp=(np.pi/4)*(2*spot_pos[l][2]/width)**2 else: #grid partially covered dsp=(np.pi/4)*((2*spot_pos[l][2]/width)**2-(2*spot_pos[l][2]/width**2)*(dist-width/2+spot_pos[l][2])) else: #if the spot is larger than the grid but not enough to cover it, grid partially covered by the spot A1=(width/2)*m.sqrt(spot_pos[l][2]**2-(width/2)**2) A2=(spot_pos[l][2]**2/2)*(m.pi/2-2*m.asin(m.sqrt(spot_pos[l][2]**2-(width/2)**2)/spot_pos[l][2])) Ar=4*(A1+A2)/width**2 dsp=-Ar*(dist-width/2-spot_pos[l][2])/(width/2+spot_pos[l][2]) asp+=dsp #FACULA if spot_pos[l][3]==0.0: #if radius=0, there is no facula, jump to next spot with continue continue if dist>(width/2+spot_pos[l][3]): #grid not covered by faculae dfc=0.0 else: if (width/m.sqrt(2))<spot_pos[l][3]: #if the spot can cover completely the grid, two cases: if dist<=(m.sqrt(spot_pos[l][3]**2-(width/2)**2)-width/2): #grid completely covered dfc=1.0-dsp #subtract spot else: #grid partially covered dfc=-(dist-spot_pos[l][3]-width/2)/(width+spot_pos[l][3]-m.sqrt(spot_pos[l][3]**2-(width/2)**2))-dsp elif (width/2)>spot_pos[l][3]: #if the grid can completely cover the spot, two cases: if dist<=(width/2-spot_pos[l][3]): #all the spot is inside the grid dfc=(np.pi/4)*(2*spot_pos[l][3]/width)**2-dsp else: #grid partially covered dfc=(np.pi/4)*((2*spot_pos[l][3]/width)**2-(2*spot_pos[l][3]/width**2)*(dist-width/2+spot_pos[l][3]))-dsp else: #if the spot is larger than the grid but not enough to cover it, grid partially covered by the spot A1=(width/2)*m.sqrt(spot_pos[l][3]**2-(width/2)**2) A2=(spot_pos[l][3]**2/2)*(m.pi/2-2*m.asin(m.sqrt(spot_pos[l][3]**2-(width/2)**2)/spot_pos[l][3])) Ar=4*(A1+A2)/width**2 dfc=-Ar*(dist-width/2-spot_pos[l][3])/(width/2+spot_pos[l][3])-dsp afc+=dfc #PLANET if simulate_planet: if vis[-1]==1.0: dist=m.sqrt((planet_pos[0]*m.cos(planet_pos[1]) - vec_grid[iteration,1])**2 + ( planet_pos[0]*m.sin(planet_pos[1]) - vec_grid[iteration,2] )**2) #grid-planet distance width2=amu[i]*width if dist>width2/2+planet_pos[2]: apl=0.0 elif dist<planet_pos[2]-width2/2: apl=1.0 else: apl=-(dist-planet_pos[2]-width2/2)/width2 if afc>1.0: afc=1.0 if asp>1.0: asp=1.0 afc=0.0 if apl>0.0: asp=asp*(1-apl) afc=afc*(1-apl) aph=1-asp-afc-apl #add the corresponding ccf to the total CCF flux = flux - (1-aph)*bph[i]+asp*bsp[i]+bfc[i]*afc Aph=Aph+aph*pare[i] Asp=Asp+asp*pare[i] Afc=Afc+afc*pare[i] Apl=Apl+apl*pare[i] typ.append([aph,asp,afc,apl]) return flux ,typ, Aph, Asp, Afc, Apl ################################################################ # FAST MODE ROUTINES ################################################################ #PHOTOMETRY @nb.njit(cache=True,error_model='numpy') def generate_rotating_photosphere_fast_lc(obs_times,Ngrid_in_ring,acd,amu,pare,flnp,flns,filter_trans,N,use_phoenix_mu,LD_law,LD1,LD2,spot_map,ref_time,Prot,diff_rot,Revo,Q,inc,temp_ph,temp_fc,simulate_planet,esinw,ecosw,T0p,Pp,Rpl,b,a,alp): flxph = 0.0 #initialze flux of photosphere sflp=np.zeros(N) #brightness of ring flp=np.zeros((N,len(filter_trans))) #spectra of each ring convolved by filter ################### IMMACULATE FLUX ########################### #Computing flux of immaculate photosphere and of every pixel for i in range(0,N): #Loop for each ring, to compute the flux of the star. #Interpolate Phoenix intensity models to correct projected ange: if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu[i]*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flnp[idx_low]+(flnp[idx_upp]-flnp[idx_low])*(amu[i]-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #spectra of the projected angle. includes limb darkening else: #or use a specified limb darkening law to multiply central spectra dlp = flnp[0]*limb_darkening_law(LD_law,LD1,LD2,amu[i]) flp[i,:]=dlp*pare[i]/(4*np.pi)*filter_trans #spectra of one grid in ring N multiplied by the filter. sflp[i]=np.sum(flp[i,:]) #brightness of onegrid in ring N. flxph=flxph+sflp[i]*Ngrid_in_ring[i] #total BRIGHTNESS of the immaculate photosphere ######################## ROTATE PHOTSPHERE FOR EACH TIME ################################ flux=flxph+np.zeros((len(obs_times))) #initialize total flux at each timestamp filling_sp=0.0+np.zeros(len(obs_times)) filling_ph=m.pi+np.zeros(len(obs_times)) filling_pl=0.0+np.zeros(len(obs_times)) filling_fc=0.0+np.zeros(len(obs_times)) for k,t in enumerate(obs_times): if simulate_planet: planet_pos=compute_planet_pos(t,esinw,ecosw,T0p,Pp,Rpl,b,a,alp)#compute the planet position at current time. In polar coordinates!! else: planet_pos = np.array([2.0,0.0,0.0],dtype=np.float64) if spot_map.size==0: spot_pos=np.expand_dims(np.array([m.pi/2,-m.pi,0.0,0.0]),axis=0) else: spot_pos=compute_spot_position(t,spot_map,ref_time,Prot,diff_rot,Revo,Q) #compute the position of all spots at the current time. Returns theta and phi of each spot. #convert latitude/longitude of spot centre to XYZ vec_spot=np.zeros((len(spot_map),3)) for i in range(len(spot_map)): xspot = m.cos(inc)*m.sin(spot_pos[i,0])*m.cos(spot_pos[i,1])+m.sin(inc)*m.cos(spot_pos[i,0]) yspot = m.sin(spot_pos[i,0])*m.sin(spot_pos[i,1]) zspot = m.cos(spot_pos[i,0])*m.cos(inc)-m.sin(inc)*m.sin(spot_pos[i,0])*m.cos(spot_pos[i,1]) vec_spot[i,:]=np.array([xspot,yspot,zspot]).T #spot center in cartesian #Loop for each spot. for i in range(len(vec_spot)): if spot_pos[i][2]==0.0: #if radius is 0, go to next spot continue dist=m.acos(np.dot(vec_spot[i],np.array([1.,0.,0.]))) #Angle center spot to center of star. if (dist-spot_pos[i,2]*np.sqrt(1.0+Q)) > (m.pi/2): #spot & facula not visible. Jump to next spot. continue beta=np.pi/2-dist #angle of the spot with the edge of the star alpha=spot_pos[i,2] #angle of the radii of the spot ############ FACULA PROJECTED AREA ################## if Q>0.0: #facula alphaf=spot_pos[i,2]*m.sqrt(1.0+Q) #angle of the radii of the faculae #CASE 1: FACULA OUTSIDE OUTSIDE-> NULL, ALREADY EVALUATED BEFORE #CASE 2: ALL FACULAE INSIDE -> ELLIPSE if 0.0 < alphaf <= beta: ay=m.sin(alphaf) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse Ape=ax*ay*m.pi/4.0 pare_fac = 2.0*2.0*Ape #area of ellipse (projected area of spot) amu_fac=m.cos(dist) #CASE 3: MOST OF THE FACULA INSIDE -> ELLIPSE + LUNE elif 0.0 <= beta < alphaf: ay=m.sin(alphaf) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse yl=m.sqrt(1.0-(1.0-ay**2)/m.cos(beta)**2) ylay=min(1.0,max(yl/ay,-1.0)) #yl/ay, to avoid getting values >1 and errors in asin, due to floating points Ape=ax*ay*m.pi/4.0 #y=ay Apep= ax*ay*0.5*((ylay)*m.sqrt(1.0-(ylay)**2)+m.asin((ylay)))# y''=yl Apcp= 0.5*(yl*m.sqrt(1.0-yl**2)+m.asin(yl)) - yl*m.cos(alphaf)*m.cos(beta) pare_fac = 2.0*(2.0*Ape + Apcp - Apep) #proj. area is described in Urena et al. Stratified Sampling of Projected Spherical Caps amu_fac=m.sin((beta+alphaf)/2.0) #representative mu as the mean point between edge of spot and of star #CASE 4: MOST OF THE FACULA OUTSIDE-> LUNE elif 0.0 < (-beta) < alphaf: ay=m.sin(alphaf) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse yl=m.sqrt(1.0-(1.0-ay**2)/m.cos(beta)**2) #intesection x and y between ellipse and lune ylay=min(1.0,max(yl/ay,-1.0)) #yl/ay, to avoid getting values >1 and errors in asin, due to floating points Apep= ax*ay*0.5*((ylay)*m.sqrt(1-(ylay)**2)+m.asin((ylay)))# y''=yl Apcp= 0.5*(yl*m.sqrt(1.0-yl**2)+m.asin(yl)) - yl*m.cos(alphaf)*m.cos(beta) pare_fac = 2.0*(Apep + Apcp) #proj. area is area of lune amu_fac=m.sin((beta+alphaf)/2.0) ######### SPOT PROJECTED AREA ############ #CASE 1: SPOT OUTSIDE-> NULL if 0.0 <= alpha <= (-beta): pare_spot=0.0 amu_spot=0.0 #CASE 2: ALL SPOT INSIDE -> ELLIPSE elif 0.0 < alpha <= beta: ay=m.sin(alpha) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse Ape=ax*ay*m.pi/4.0 pare_spot = 2.0*2.0*Ape #area of ellipse (projected area of spot) amu_spot=m.cos(dist) #CASE 3: MOST OF THE SPOT INSIDE -> ELLIPSE + LUNE elif 0.0 <= beta < alpha: ay=m.sin(alpha) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse yl=m.sqrt(1.0-(1.0-ay**2)/m.cos(beta)**2) ylay=min(1.0,max(yl/ay,-1.0)) #yl/ay, to avoid getting values >1 and errors in asin, due to floating points Ape=ax*ay*m.pi/4.0 #y=ay Apep= ax*ay*0.5*((ylay)*m.sqrt(1.0-(ylay)**2)+m.asin((ylay)))# y''=yl Apcp= 0.5*(yl*m.sqrt(1.0-yl**2)+m.asin(yl)) - yl*m.cos(alpha)*m.cos(beta) pare_spot = 2.0*(2.0*Ape + Apcp - Apep) #proj. area is described in Urena et al. Stratified Sampling of Projected Spherical Caps amu_spot=m.sin((beta+alpha)/2.0) #representative mu as the mean point between edge of spot and of star #CASE 4: MOST OF THE SPOT OUTSIDE-> LUNE elif 0.0 < (-beta) < alpha: ay=m.sin(alpha) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse yl=m.sqrt(1.0-(1.0-ay**2)/m.cos(beta)**2) #intesection x and y between ellipse and lune ylay=min(1.0,max(yl/ay,-1.0)) #yl/ay, to avoid getting values >1 and errors in asin, due to floating points Apep= ax*ay*0.5*((ylay)*m.sqrt(1-(ylay)**2)+m.asin((ylay)))# y''=yl Apcp= 0.5*(yl*m.sqrt(1.0-yl**2)+m.asin(yl)) - yl*m.cos(alpha)*m.cos(beta) pare_spot = 2.0*(Apep + Apcp) #proj. area is area of lune amu_spot=m.sin((beta+alpha)/2.0) #Spot, photosphere, and faculae flux at the angle of the spot if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_spot*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flnp[idx_low]+(flnp[idx_upp]-flnp[idx_low])*(amu_spot-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening dls = flns[idx_low]+(flns[idx_upp]-flns[idx_low])*(amu_spot-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_spot) dlp = flnp[0]*ld dls = flns[0]*ld flux_phsp=np.sum(dlp*pare_spot/(4*np.pi)*filter_trans) #flux of the photosphere occuppied by the spot. flux_sp=np.sum(dls*pare_spot/(4*np.pi)*filter_trans) #flux of the spot if Q>0.0: pare_facula= pare_fac - pare_spot if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_fac*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flnp[idx_low]+(flnp[idx_upp]-flnp[idx_low])*(amu_fac-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_fac) dlp = flnp[0]*ld flux_phfc=np.sum(dlp*pare_fac/(4*np.pi)*filter_trans) #flux of the photosphere occuppied by the spot. dtfmu=250.9-407.4*amu_fac+190.9*amu_fac**2 #(T_fac-T_ph) multiplied by a factor depending on the flux_fc=np.sum(dlp*pare_fac/(4*np.pi)*filter_trans)*((temp_ph+dtfmu)/(temp_fc))**4 #flux of the spot else: flux_phfc = 0.0 flux_fc = 0.0 pare_facula = 0.0 flux[k] = flux[k] - flux_phsp + flux_sp - flux_phfc + flux_fc #total flux - photosphere + spot filling_sp[k] = filling_sp[k] + pare_spot filling_ph[k] = filling_ph[k] - pare_spot - pare_facula filling_fc[k] = filling_fc[k] + pare_facula ################### PLANETARY TRANSIT PROJECTED AREA ######################## if simulate_planet: if planet_pos[0]-planet_pos[2]>= 1.0: #all planet outside pare_pl = 0.0 amu_pl = 0.0 block = 'none' elif planet_pos[0]+planet_pos[2] <= 1.0: #all planet inside pare_pl = m.pi*planet_pos[2]**2 #area of a circle amu_pl = m.sqrt(1-planet_pos[0]**2) #cos(mu)**2=1-sin(mu)**2=1-r**2 block='ph' for i in range(len(vec_spot)): #check if planet is over a spot or photosphere or faculae distsp=m.acos(np.dot(vec_spot[i],np.array([1.,0.,0.]))) #Angle center spot to center of star. if (distsp-spot_pos[i,2]*np.sqrt(1.0+Q)) >= (m.pi/2): #spot & facula not visible. Jump to next spot. block='ph' continue dist=m.acos(np.dot(np.array([m.cos(m.asin(planet_pos[0])),planet_pos[0]*m.cos(planet_pos[1]),planet_pos[0]*m.sin(planet_pos[1])]),vec_spot[i])) #spot-planet centers distance if dist < spot_pos[i,2]: #if the distance is lower than spot radius, most of the planet is inside the spot if (distsp-spot_pos[i,2]) >= (m.pi/2): #if spot is not visible block='ph' else: block = 'sp' elif dist < spot_pos[i,2]*m.sqrt(1+Q): #if the distance is lower than facula radius, most of the planet is inside the facula block = 'fc' elif (block != 'sp') and (block != 'fc'): #if the planet is not blocking a spot or a facula, then its blocking ph block = 'ph' #else, the planet is blocking photosphere else: #the planet is partially covering the star. d1=(1-planet_pos[2]**2+planet_pos[0]**2)/(2*planet_pos[0]) #dist from star centre to centre of intersection d2=planet_pos[0]-d1 #dist from centre of planet to centre of intersection dedge = 1-(1+planet_pos[2]-planet_pos[0])/2 #dist from centre star to centre intersection pare_pl = m.acos(d1) - d1*m.sqrt(1-d1**2) + planet_pos[2]**2*m.acos(d2/planet_pos[2]) - d2*m.sqrt(planet_pos[2]**2-d2**2) #area of intersection star-planet amu_pl = m.sqrt(1-(dedge)**2) #amu is represented by the mean point of the intersection. block='ph' for i in range(len(vec_spot)): #check if planet is over a spot or photosphere or faculae distsp=m.acos(np.dot(vec_spot[i],np.array([1.,0.,0.]))) #Angle center spot to center of star. if (distsp-spot_pos[i,2]*np.sqrt(1.0+Q)) >= (m.pi/2): #spot & facula not visible. Jump to next spot. block='ph' continue dist=m.acos(np.dot(np.array([m.cos(m.asin(dedge)),dedge*m.cos(planet_pos[1]),dedge*m.sin(planet_pos[1])]),vec_spot[i])) #distance from spot to centre of planet-star intersection if dist < spot_pos[i,2]: #if the distance is lower than spot radius, most of the planet is inside the spot if (distsp-spot_pos[i,2]) > (m.pi/2): #if spot is not visible block='ph' else: block = 'sp' elif dist < spot_pos[i,2]*m.sqrt(1+Q): #if the distance is lower than facula radius, most of the planet is inside the facula block = 'fc' elif (block != 'sp') and (block != 'fc'): #if the planet is not blocking a spot or a facula, then its blocking ph block = 'ph' #else, the planet is blocking photosphere #compute and subtract flux blocked by the planet if block == 'ph': if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_pl*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flnp[idx_low]+(flnp[idx_upp]-flnp[idx_low])*(amu_pl-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_pl) dlp = flnp[0]*ld flux_pl=np.sum(dlp*pare_pl/(4*np.pi)*filter_trans) #flux of the photosphere occuppied by the planet. flux[k] = flux[k] - flux_pl #total flux - flux blocked filling_ph[k] = filling_ph[k] - pare_pl filling_pl[k] = filling_pl[k] + pare_pl if block == 'sp': #flux blocked by the planet if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_pl*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dls = flns[idx_low]+(flns[idx_upp]-flns[idx_low])*(amu_pl-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_pl) dls = flns[0]*ld flux_pl=np.sum(dls*pare_pl/(4*np.pi)*filter_trans) #flux of the photosphere occuppied by the planet. flux[k] = flux[k] - flux_pl #total flux - flux blocked filling_sp[k] = filling_sp[k] - pare_pl filling_pl[k] = filling_pl[k] + pare_pl if block == 'fc': #flux blocked by the spot if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_pl*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flnp[idx_low]+(flnp[idx_upp]-flnp[idx_low])*(amu_pl-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_pl) dlp = flnp[0]*ld dtfmu=250.9-407.4*amu_pl+190.9*amu_pl**2 #(T_fac-T_ph) multiplied by a factor depending on the flux_pl=np.sum(dlp*pare_pl/(4*np.pi)*filter_trans)*((temp_ph+dtfmu)/(temp_fc))**4 #flux of the facula occuppied by the planet. flux[k] = flux[k] - flux_pl #total flux - flux blocked filling_fc[k] = filling_fc[k] - pare_pl filling_pl[k] = filling_pl[k] + pare_pl filling_ph[k]=100*filling_ph[k]/m.pi filling_sp[k]=100*filling_sp[k]/m.pi filling_fc[k]=100*filling_fc[k]/m.pi filling_pl[k]=100*filling_pl[k]/m.pi return obs_times, flux/flxph, filling_ph, filling_sp, filling_fc, filling_pl ############### #CCFS ############### @nb.njit(cache=True,error_model='numpy') def fun_spot_bisect(ccf): rv=-1.51773453*ccf**4 +3.52774949*ccf**3 -3.18794328*ccf**2 +1.22541774*ccf -0.22479665 #Polynomial fit to ccf in Fig 2 of Dumusque 2014, plus 400m/s to match Fig6 in Herrero 2016 return rv @nb.njit(cache=True,error_model='numpy') def fun_cifist(ccf,amu): '''Interpolate the cifist bisectors as a function of the projected angle ''' # amv=np.arange(1,0.0,-0.1) #list of angles defined in cfist amv=np.arange(0.0,1.01,0.1) #list of angles defined in cfist idx_upp=np.searchsorted(amv,amu*0.999999999,side='right') idx_low=idx_upp-1 cxm=np.zeros((len(amv),7)) #coeff of the bisectors. NxM, N is number of angles, M=7, the degree of the polynomial #PARAMS COMPUTED WITH HARPS MASK cxm[10,:]=np.array([-3.51974861,11.1702017,-13.22368296,6.67694456,-0.63201573,-0.44695616,-0.36838495]) #1.0 cxm[9,:]=np.array([-4.05903967,13.21901003,-16.47215949,9.51023171,-2.13104764,-0.05153799,-0.36973749]) #0.9 cxm[8,:]=np.array([-3.92153131,12.76694663,-15.96958217,9.39599116,-2.34394028,0.12546611,-0.42092905]) #0.8 cxm[7,:]=np.array([-3.81892968,12.62209118,-16.06973368,9.71487198,-2.61439945,0.25356088,-0.43310756]) #0.7 cxm[6,:]=np.array([-5.37213406,17.6604689,-22.52477323,13.91461247,-4.13186181,0.60271171,-0.46427559]) #0.6 cxm[5,:]=np.array([-6.35351933,20.92046705,-26.83933359,16.86220487,-5.28285592,0.90643187,-0.47696283]) #0.5 cxm[4,:]=np.array([-7.67270144,25.60866105,-33.4381214,21.58855269,-7.1527039,1.35990694,-0.48001707]) #0.4 cxm[3,:]=np.array([-9.24152009,31.09337903,-41.07410957,27.04196984,-9.32910982,1.89291407,-0.455407]) #0.3 cxm[2,:]=np.array([-11.62006536,39.30962189,-52.38161244,34.98243089,-12.40650704,2.57940618,-0.37337442]) #0.2 cxm[1,:]=np.array([-14.14768805,47.9566719,-64.20294114,43.23156971,-15.57423374,3.13318175,-0.14451226]) #0.1 cxm[0,:]=np.array([-16.67531074,56.60372191,-76.02426984,51.48070853,-18.74196044,3.68695732,0.0843499 ]) #0.0 #interpolate cxu=cxm[idx_low]+(cxm[idx_upp]-cxm[idx_low])*(amu-amv[idx_low])/(amv[idx_upp]-amv[idx_low]) rv = cxu[0]*ccf**6 + cxu[1]*ccf**5 + cxu[2]*ccf**4 + cxu[3]*ccf**3 + cxu[4]*ccf**2 + cxu[5]*ccf + cxu[6] return rv @nb.njit(cache=True,error_model='numpy') def generate_rotating_photosphere_fast_rv(obs_times,Ngrid_in_ring,acd,amu,pare,rv,rv_ph,rv_sp,rv_fc,ccf_ph_tot,ccf_ph,ccf_sp,ccf_fc,fluxph,flpk,flsk,N,use_phoenix_mu,LD_law,LD1,LD2,spot_map,ref_time,Prot,diff_rot,Revo,Q,inc,vsini,CB,temp_ph,temp_fc,simulate_planet,esinw,ecosw,T0p,Pp,Rpl,b,a,alp): ######################## ROTATE PHOTSPHERE FOR EACH TIME ################################ ccf=ccf_ph_tot*np.ones((len(obs_times),len(ccf_ph_tot))) #initialize total flux at each timestamp filling_sp=0.0+np.zeros(len(obs_times)) filling_ph=m.pi+np.zeros(len(obs_times)) filling_pl=0.0+np.zeros(len(obs_times)) filling_fc=0.0+np.zeros(len(obs_times)) for k,t in enumerate(obs_times): if simulate_planet: planet_pos=compute_planet_pos(t,esinw,ecosw,T0p,Pp,Rpl,b,a,alp)#compute the planet position at current time. In polar coordinates!! else: planet_pos = np.array([2.0,0.0,0.0],dtype=np.float64) if spot_map.size==0: spot_pos=np.expand_dims(np.array([m.pi/2,-m.pi,0.0,0.0]),axis=0) else: spot_pos=compute_spot_position(t,spot_map,ref_time,Prot,diff_rot,Revo,Q) #compute the position of all spots at the current time. Returns theta and phi of each spot. #convert latitude/longitude of spot centre to XYZ vec_spot=np.zeros((len(spot_map),3)) for i in range(len(spot_map)): xspot = m.cos(inc)*m.sin(spot_pos[i,0])*m.cos(spot_pos[i,1])+m.sin(inc)*m.cos(spot_pos[i,0]) yspot = m.sin(spot_pos[i,0])*m.sin(spot_pos[i,1]) zspot = m.cos(spot_pos[i,0])*m.cos(inc)-m.sin(inc)*m.sin(spot_pos[i,0])*m.cos(spot_pos[i,1]) vec_spot[i,:]=np.array([xspot,yspot,zspot]).T #spot center in cartesian #Loop for each spot. for i in range(len(vec_spot)): if spot_pos[i][2]==0.0: #if radius is 0, go to next spot continue dist=m.acos(np.dot(vec_spot[i],np.array([1.,0.,0.]))) #Angle center spot to center of star. if (dist-spot_pos[i,2]*np.sqrt(1.0+Q)) > (m.pi/2): #spot & facula not visible. Jump to next spot. continue beta=np.pi/2-dist #angle of te spot with the edge of the star alpha=spot_pos[i,2] #angle of the radii of the spot ############ FACULA PROJECTED AREA ################## if Q>0.0: #facula alphaf=spot_pos[i,2]*m.sqrt(1.0+Q) #angle of the radii of the faculae #CASE 1: FACULA OUTSIDE OUTSIDE-> NULL, ALREADY EVALUATED BEFORE #CASE 2: ALL FACULAE INSIDE -> ELLIPSE if 0.0 < alphaf <= beta: ay=m.sin(alphaf) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse Ape=ax*ay*m.pi/4.0 pare_fac = 2.0*2.0*Ape #area of ellipse (projected area of spot) amu_fac=m.cos(dist) rvel_fac=vsini*m.sin(spot_pos[i,0])*m.sin(spot_pos[i,1]) #CASE 3: MOST OF THE FACULA INSIDE -> ELLIPSE + LUNE elif 0.0 <= beta < alphaf: ay=m.sin(alphaf) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse yl=m.sqrt(1.0-(1.0-ay**2)/m.cos(beta)**2) ylay=min(1.0,max(yl/ay,-1.0)) #yl/ay, to avoid getting values >1 and errors in asin, due to floating points Ape=ax*ay*m.pi/4.0 #y=ay Apep= ax*ay*0.5*((ylay)*m.sqrt(1.0-(ylay)**2)+m.asin((ylay)))# y''=yl Apcp= 0.5*(yl*m.sqrt(1.0-yl**2)+m.asin(yl)) - yl*m.cos(alphaf)*m.cos(beta) pare_fac = 2.0*(2.0*Ape + Apcp - Apep) #proj. area is described in Urena et al. Stratified Sampling of Projected Spherical Caps amu_fac=m.sin((beta+alphaf)/2.0) #representative mu as the mean point between edge of spot and of star #position in polar: r_fac=m.cos((beta+alphaf)/2.0) t_fac=m.atan2(vec_spot[i,2],vec_spot[i,1]) #in spherical x_fac=amu_fac y_fac=r_fac*m.cos(t_fac) z_fac=r_fac*m.sin(t_fac) #in star coords colat_fac, lon_fac = m.acos(z_fac*m.cos(-inc)-x_fac*m.sin(-inc)), m.atan2(y_fac,x_fac*m.cos(-inc)+z_fac*m.sin(-inc)) #rvel of spot rvel_fac=vsini*m.sin(colat_fac)*m.sin(lon_fac) #CASE 4: MOST OF THE FACULA OUTSIDE-> LUNE elif 0.0 < (-beta) < alphaf: ay=m.sin(alphaf) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse yl=m.sqrt(1.0-(1.0-ay**2)/m.cos(beta)**2) #intesection x and y between ellipse and lune ylay=min(1.0,max(yl/ay,-1.0)) #yl/ay, to avoid getting values >1 and errors in asin, due to floating points Apep= ax*ay*0.5*((ylay)*m.sqrt(1-(ylay)**2)+m.asin((ylay)))# y''=yl Apcp= 0.5*(yl*m.sqrt(1.0-yl**2)+m.asin(yl)) - yl*m.cos(alphaf)*m.cos(beta) pare_fac = 2.0*(Apep + Apcp) #proj. area is area of lune amu_fac=m.sin((beta+alphaf)/2.0) #position in polar: r_fac=m.cos((beta+alphaf)/2.0) t_fac=m.atan2(vec_spot[i,2],vec_spot[i,1]) #in spherical x_fac=amu_fac y_fac=r_fac*m.cos(t_fac) z_fac=r_fac*m.sin(t_fac) #in star coords colat_fac, lon_fac = m.acos(z_fac*m.cos(-inc)-x_fac*m.sin(-inc)), m.atan2(y_fac,x_fac*m.cos(-inc)+z_fac*m.sin(-inc)) #rvel of spot rvel_fac=vsini*m.sin(colat_fac)*m.sin(lon_fac) ######### SPOT PROJECTED AREA ############ #CASE 1: SPOT OUTSIDE-> NULL if 0.0 <= alpha <= (-beta): pare_spot=0.0 amu_spot=0.0 #CASE 2: ALL SPOT INSIDE -> ELLIPSE elif 0.0 < alpha <= beta: ay=m.sin(alpha) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse Ape=ax*ay*m.pi/4.0 pare_spot = 2.0*2.0*Ape #area of ellipse (projected area of spot) amu_spot=m.cos(dist) rvel_spot=vsini*m.sin(spot_pos[i,0])*m.sin(spot_pos[i,1]) #CASE 3: MOST OF THE SPOT INSIDE -> ELLIPSE + LUNE elif 0.0 <= beta < alpha: ay=m.sin(alpha) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse yl=m.sqrt(1.0-(1.0-ay**2)/m.cos(beta)**2) ylay=min(1.0,max(yl/ay,-1.0)) #yl/ay, to avoid getting values >1 and errors in asin, due to floating points Ape=ax*ay*m.pi/4.0 #y=ay Apep= ax*ay*0.5*((ylay)*m.sqrt(1.0-(ylay)**2)+m.asin((ylay)))# y''=yl Apcp= 0.5*(yl*m.sqrt(1.0-yl**2)+m.asin(yl)) - yl*m.cos(alpha)*m.cos(beta) pare_spot = 2.0*(2.0*Ape + Apcp - Apep) #proj. area is described in Urena et al. Stratified Sampling of Projected Spherical Caps amu_spot=m.sin((beta+alpha)/2.0) #representative mu as the mean point between edge of spot and of star #position in polar: r_spot=m.cos((beta+alpha)/2.0) t_spot=m.atan2(vec_spot[i,2],vec_spot[i,1]) #in spherical x_spot=amu_spot y_spot=r_spot*m.cos(t_spot) z_spot=r_spot*m.sin(t_spot) #in star coords colat_spot, lon_spot = m.acos(z_spot*m.cos(-inc)-x_spot*m.sin(-inc)), m.atan2(y_spot,x_spot*m.cos(-inc)+z_spot*m.sin(-inc)) #rvel of spot rvel_spot=vsini*m.sin(colat_spot)*m.sin(lon_spot) #CASE 4: MOST OF THE SPOT OUTSIDE-> LUNE elif 0.0 < (-beta) < alpha: ay=m.sin(alpha) #semiminor axis ellipse ax=ay*m.sin(beta) #semimajor axis ellipse yl=m.sqrt(1.0-(1.0-ay**2)/m.cos(beta)**2) #intesection x and y between ellipse and lune ylay=min(1.0,max(yl/ay,-1.0)) #yl/ay, to avoid getting values >1 and errors in asin, due to floating points Apep= ax*ay*0.5*((ylay)*m.sqrt(1-(ylay)**2)+m.asin((ylay)))# y''=yl Apcp= 0.5*(yl*m.sqrt(1.0-yl**2)+m.asin(yl)) - yl*m.cos(alpha)*m.cos(beta) pare_spot = 2.0*(Apep + Apcp) #proj. area is area of lune amu_spot=m.sin((beta+alpha)/2.0) #position in polar: r_spot=m.cos((beta+alpha)/2.0) t_spot=m.atan2(vec_spot[i,2],vec_spot[i,1]) #in spherical x_spot=amu_spot y_spot=r_spot*m.cos(t_spot) z_spot=r_spot*m.sin(t_spot) #in star coords colat_spot, lon_spot = m.acos(z_spot*m.cos(-inc)-x_spot*m.sin(-inc)), m.atan2(y_spot,x_spot*m.cos(-inc)+z_spot*m.sin(-inc)) #rvel of spot rvel_spot=vsini*m.sin(colat_spot)*m.sin(lon_spot) #Compute CCF ofspot an ph at amu if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_spot*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flpk[idx_low]+(flpk[idx_upp]-flpk[idx_low])*(amu_spot-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening dls = flsk[idx_low]+(flsk[idx_upp]-flsk[idx_low])*(amu_spot-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_spot) dlp = flpk[0]*ld dls = flsk[0]*ld flux_phsp=np.sum(dlp*pare_spot/(4*np.pi)) #flux of the photosphere occuppied by the spot. flux_spph=np.sum(dls*pare_spot/(4*np.pi)) #flux of the spot rv_phsp = rv_ph + rvel_spot + fun_cifist(ccf_ph,amu_spot)*1000.0*CB rv_spph = rv_sp + rvel_spot + fun_spot_bisect(ccf_sp)*amu_spot*1000.0*CB ccf_phsp=interpolation_nb(rv,rv_phsp,ccf_ph,ccf_ph[0],ccf_ph[-1]) #still normalized ccf. ccf_spph=interpolation_nb(rv,rv_spph,ccf_sp,ccf_sp[0],ccf_sp[-1]) #still normalized ccf. #Compute RVshift, shift CCF, and iterpolate the CCF values. CCF_phsp = ccf_phsp*flux_phsp/fluxph #the ccf of the element photosphere is the CCF weighted by the flux of the element over all the flux. CCF_spph = ccf_spph*flux_spph/fluxph if Q>0.0: pare_facula= pare_fac - pare_spot if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_fac*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flsk[idx_low]+(flsk[idx_upp]-flsk[idx_low])*(amu_fac-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_fac) dlp = flsk[0]*ld flux_phfc=np.sum(dlp*pare_fac/(4*np.pi)) #flux of the photosphere occuppied by the spot. dtfmu=250.9-407.4*amu_fac+190.9*amu_fac**2 #(T_fac-T_ph) multiplied by a factor depending on the flux_fcph=np.sum(dlp*pare_fac/(4*np.pi))*((temp_ph+dtfmu)/(temp_fc))**4 #flux of the spot #Compute RVshift, shift CCF, and iterpolate the CCF values. rv_phfc = rv_ph + rvel_fac + fun_cifist(ccf_ph,amu_fac)*1000.0*CB rv_fcph = rv_fc + rvel_fac + fun_spot_bisect(ccf_fc)*amu_fac*1000.0*CB ccf_phfc=interpolation_nb(rv,rv_phfc,ccf_ph,ccf_ph[0],ccf_ph[-1]) #still normalized ccf. ccf_fcph=interpolation_nb(rv,rv_fcph,ccf_fc,ccf_fc[0],ccf_fc[-1]) #still normalized ccf. #Compute RVshift, shift CCF, and iterpolate the CCF values. CCF_phfc = ccf_phfc*flux_phfc/fluxph #the ccf of the element photosphere is the CCF weighted by the flux of the element over all the flux. CCF_fcph = ccf_fcph*flux_fcph/fluxph else: CCF_phfc = ccf_ph*0.0 #the ccf of the element photosphere is the CCF weighted by the flux of the element over all the flux. CCF_fcph = ccf_fc*0.0 pare_facula = 0.0 ccf[k] = ccf[k] - CCF_phsp + CCF_spph - CCF_phfc + CCF_fcph #total CCF - photosphere_spot + spot - photosphere_fac + facula filling_sp[k] = filling_sp[k] + pare_spot filling_ph[k] = filling_ph[k] - pare_spot - pare_facula filling_fc[k] = filling_fc[k] + pare_facula ################### PLANETARY TRANSIT PROJECTED AREA ######################## if simulate_planet: if planet_pos[0]-planet_pos[2]>= 1.0: #all planet outside pare_pl = 0.0 amu_pl = 0.0 block = 'none' elif planet_pos[0]+planet_pos[2] <= 1.0: #all planet inside pare_pl = m.pi*planet_pos[2]**2 #area of a circle amu_pl = m.sqrt(1-planet_pos[0]**2) #cos(mu)**2=1-sin(mu)**2=1-r**2 x_pl=amu_pl y_pl=planet_pos[0]*m.cos(planet_pos[1]) z_pl=planet_pos[0]*m.sin(planet_pos[1]) #in star coords colat_pl, lon_pl = m.acos(z_pl*m.cos(-inc)-x_pl*m.sin(-inc)), m.atan2(y_pl,x_pl*m.cos(-inc)+z_pl*m.sin(-inc)) #rvel of spot rvel_pl=vsini*m.sin(colat_pl)*m.sin(lon_pl) block='ph' for i in range(len(vec_spot)): #check if planet is over a spot or photosphere or faculae distsp=m.acos(np.dot(vec_spot[i],np.array([1.,0.,0.]))) #Angle center spot to center of star. if (distsp-spot_pos[i,2]*np.sqrt(1.0+Q)) >= (m.pi/2): #spot & facula not visible. Jump to next spot. block='ph' continue dist=m.acos(np.dot(np.array([m.cos(m.asin(planet_pos[0])),planet_pos[0]*m.cos(planet_pos[1]),planet_pos[0]*m.sin(planet_pos[1])]),vec_spot[i])) #spot-planet centers distance if dist < spot_pos[i,2]: #if the distance is lower than spot radius, most of the planet is inside the spot if (distsp-spot_pos[i,2]) >= (m.pi/2): #if spot is not visible block='ph' else: block = 'sp' elif dist < spot_pos[i,2]*m.sqrt(1+Q): #if the distance is lower than facula radius, most of the planet is inside the facula block = 'fc' elif (block != 'sp') and (block != 'fc'): #if the planet is not blocking a spot or a facula, then its blocking ph block = 'ph' #else, the planet is blocking photosphere else: #the planet is partially covering the star. d1=(1-planet_pos[2]**2+planet_pos[0]**2)/(2*planet_pos[0]) #dist from star centre to intersection point d2=planet_pos[0]-d1 #dist from centre of planet to centre of intersection dedge = 1-(1+planet_pos[2]-planet_pos[0])/2 #dist from centre star to centre intersection pare_pl = m.acos(d1) - d1*m.sqrt(1-d1**2) + planet_pos[2]**2*m.acos(d2/planet_pos[2]) - d2*m.sqrt(planet_pos[2]**2-d2**2) #area of intersection star-planet amu_pl = m.sqrt(1-(dedge)**2) #amu is represented by the mean point of the intersection. #spherical coords of planet and corresponding RV of the surface x_pl=amu_pl y_pl=dedge*m.cos(planet_pos[1]) z_pl=dedge*m.sin(planet_pos[1]) #in star coords colat_pl, lon_pl = m.acos(z_pl*m.cos(-inc)-x_pl*m.sin(-inc)), m.atan2(y_pl,x_pl*m.cos(-inc)+z_pl*m.sin(-inc)) #rvel of surface rvel_pl=vsini*m.sin(colat_pl)*m.sin(lon_pl) block='ph' for i in range(len(vec_spot)): #check if planet is over a spot or photosphere or faculae distsp=m.acos(np.dot(vec_spot[i],np.array([1.,0.,0.]))) #Angle center spot to center of star. if (distsp-spot_pos[i,2]*np.sqrt(1.0+Q)) >= (m.pi/2): #spot & facula not visible. Jump to next spot. block='ph' continue dist=m.acos(np.dot(np.array([m.cos(m.asin(dedge)),dedge*m.cos(planet_pos[1]),dedge*m.sin(planet_pos[1])]),vec_spot[i])) #distance from spot to centre of planet-star intersection if dist < spot_pos[i,2]: #if the distance is lower than spot radius, most of the planet is inside the spot if (distsp-spot_pos[i,2]) > (m.pi/2): #if spot is not visible block='ph' else: block = 'sp' elif dist < spot_pos[i,2]*m.sqrt(1+Q): #if the distance is lower than facula radius, most of the planet is inside the facula block = 'fc' elif (block != 'sp') and (block != 'fc'): #if the planet is not blocking a spot or a facula, then its blocking ph block = 'ph' #else, the planet is blocking photosphere #compute and subtract flux blocked by the planet if block == 'ph': if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_pl*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flpk[idx_low]+(flpk[idx_upp]-flpk[idx_low])*(amu_pl-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_pl) dlp = flpk[0]*ld flux_phpl=np.sum(dlp*pare_pl/(4*np.pi)) #flux of the photosphere occuppied by the planet. rv_phpl = rv_ph + rvel_pl + fun_cifist(ccf_ph,amu_pl)*1000.0*CB ccf_phpl=interpolation_nb(rv,rv_phpl,ccf_ph,ccf_ph[0],ccf_ph[-1]) #still normalized ccf. #Compute RVshift, shift CCF, and iterpolate the CCF values. CCF_phpl = ccf_phpl*flux_phpl/fluxph #the ccf of the element photosphere is the CCF weighted by the flux of the element over all the flux. ccf[k] = ccf[k] - CCF_phpl #total flux - flux blocked filling_ph[k] = filling_ph[k] - pare_pl filling_pl[k] = filling_pl[k] + pare_pl if block == 'sp': #flux blocked by the planet if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_pl*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dls = flsk[idx_low]+(flsk[idx_upp]-flsk[idx_low])*(amu_pl-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_pl) dls = flsk[0]*ld flux_sppl=np.sum(dls*pare_pl/(4*np.pi)) #flux of the photosphere occuppied by the planet. rv_sppl = rv_sp + rvel_pl ccf_sppl=interpolation_nb(rv,rv_sppl,ccf_sp,ccf_sp[0],ccf_sp[-1]) #still normalized ccf. #Compute RVshift, shift CCF, and iterpolate the CCF values. CCF_sppl = ccf_sppl*flux_sppl/fluxph #the ccf of the element photosphere is the CCF weighted by the flux of the element over all the flux. ccf[k] = ccf[k] - CCF_sppl #total flux - flux blocked filling_sp[k] = filling_sp[k] - pare_pl filling_pl[k] = filling_pl[k] + pare_pl if block == 'fc': #flux blocked by the spot if use_phoenix_mu: idx_upp=len(acd)-1-np.searchsorted(np.flip(acd),amu_pl*0.999999999,side='right') #acd is sorted inversely idx_low=idx_upp+1 dlp = flpk[idx_low]+(flpk[idx_upp]-flpk[idx_low])*(amu_pl-acd[idx_low])/(acd[idx_upp]-acd[idx_low]) #limb darkening #limb darkening else: #or use a specified limb darkening law ld=limb_darkening_law(LD_law,LD1,LD2,amu_pl) dlp = flpk[0]*ld dtfmu=250.9-407.4*amu_pl+190.9*amu_pl**2 #(T_fac-T_ph) multiplied by a factor depending on the flux_fcpl=np.sum(dlp*pare_pl/(4*np.pi))*((temp_ph+dtfmu)/(temp_fc))**4 #flux of the facula occuppied by the planet. rv_fcpl = rv_fc + rvel_pl ccf_fcpl=interpolation_nb(rv,rv_fcpl,ccf_fc,ccf_fc[0],ccf_fc[-1]) #still normalized ccf. #Compute RVshift, shift CCF, and iterpolate the CCF values. CCF_fcpl = ccf_fcpl*flux_fcpl/fluxph #the ccf of the element photosphere is the CCF weighted by the flux of the element over all the flux. ccf[k] = ccf[k] - CCF_fcpl #total ccf - ccf blocked filling_fc[k] = filling_fc[k] - pare_pl filling_pl[k] = filling_pl[k] + pare_pl filling_ph[k]=100*filling_ph[k]/m.pi filling_sp[k]=100*filling_sp[k]/m.pi filling_fc[k]=100*filling_fc[k]/m.pi filling_pl[k]=100*filling_pl[k]/m.pi return obs_times, ccf, filling_ph, filling_sp, filling_fc, filling_pl @nb.njit(cache=True,error_model='numpy') def check_spot_overlap(spot_map,Q): #False if there is no overlap between spots N_spots=len(spot_map) for i in range(N_spots): for j in range(i+1,N_spots): t_ini_0 = spot_map[i][0] t_ini = spot_map[j][0] t_fin_0 = t_ini_0 + spot_map[i][1] t_fin = t_ini + spot_map[j][1] r_0 = np.max(spot_map[i][4:6]) r = np.max(spot_map[j][4:6]) th_0 = m.pi/2-spot_map[i][2]*m.pi/180 #latitude in radians th = m.pi/2-spot_map[j][2]*m.pi/180 #latitude in radians ph_0 = spot_map[i][3]*m.pi/180 #longitude in radians ph = spot_map[j][3]*m.pi/180 #longitude in radians dist = m.acos(m.sin(th_0)*m.sin(th) + m.cos(th_0)*m.cos(th)*m.cos(m.fabs(ph_0 - ph)))*180/m.pi #in if (dist<m.sqrt(Q+1)*(r_0+r)) and not ((t_ini>t_fin_0) or (t_ini_0>t_fin)): #if they touch and coincide in time return True return False

45.720903

297

0.544478

12,570

78,960

3.318457

0.065076

0.027186

0.02148

0.014672

0.775514

0.757174

0.748016

0.740776

0.720447

0.710306

0

0.059645

0.29696

78,960

1,727

298

45.720903

0.691778

0.235866

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0.672355

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0.007664

0

1

0.028157

false

0

0.00256

0.059727

0.001706

0

null

0

1

0

null

0

5

da781f2bc2d2d2fb3373da185e4d497657f266bc

254

py

Python

myshkin/util/args.py

jakesnell/myshkin

cea0a625b1913627e27d66d0ada9155402f57d33

[ "MIT" ]

null

myshkin/util/args.py

jakesnell/myshkin

cea0a625b1913627e27d66d0ada9155402f57d33

[ "MIT" ]

null

myshkin/util/args.py

jakesnell/myshkin

cea0a625b1913627e27d66d0ada9155402f57d33

[ "MIT" ]

null

from docopt import docopt from attrdict import AttrDict def get_args(docstring): return AttrDict({k.replace("--", "").\ replace("<", "").\ replace(">", ""): v for k, v in docopt(docstring).iteritems()})

31.75

86

0.535433

26

254

5.192308

0.576923

0.207407

0

0.291339

254

7

87

36.285714

0.75

0

0.015748

0

1

0.166667

false

0

0.333333

0.166667

0.666667

0

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0

null

1

0

1

0

null

0

1

0

5

da7b86640c076ed4fb618974f93604479de3a11a

178

py

Python

lista_ex2.py/exercicio23.py

robinson-1985/mentoria_exercises

8359cead6ee5351851b04cb45f252e3881b79117

[ "MIT" ]

null

lista_ex2.py/exercicio23.py

robinson-1985/mentoria_exercises

8359cead6ee5351851b04cb45f252e3881b79117

[ "MIT" ]

null

lista_ex2.py/exercicio23.py

robinson-1985/mentoria_exercises

8359cead6ee5351851b04cb45f252e3881b79117

[ "MIT" ]

null

''' 23. Faça um programa que receba um número real, encontre e mostre: a) a parte inteira desse número; b) a parte fracionária desse número; c) o arredondamento desse número. '''

44.5

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178

4.586207

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0.24812

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0.013514

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null

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null

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null

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null

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null

true

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null

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1

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null

0

1

0

5

16fa0417063656dfa47727e81f4149b7b6d72c76

1,333

py

Python

python/tests/test_date.py

eno-lang/enotype

03c4cbec0c9aaec6063bc8c85891e8e51ad1dc21

[ "MIT" ]

3

2019-09-27T19:18:19.000Z

2021-02-24T23:38:04.000Z

python/tests/test_date.py

eno-lang/enotype

03c4cbec0c9aaec6063bc8c85891e8e51ad1dc21

[ "MIT" ]

1

2021-05-07T02:25:26.000Z

python/tests/test_date.py

eno-lang/enotype

03c4cbec0c9aaec6063bc8c85891e8e51ad1dc21

[ "MIT" ]

null

import pytest from datetime import date as python_date, datetime as python_datetime from enotype import date def test_0_1992_02_02(): assert date('1992-02-02') == python_date(1992, 2, 2) def test_1_1990(): with pytest.raises(ValueError) as excinfo: date('1990') def test_2_1991_01(): with pytest.raises(ValueError) as excinfo: date('1991-01') def test_3_1993_03_03t1920_01_00(): with pytest.raises(ValueError) as excinfo: date('1993-03-03T1920+01:00') def test_4_1994_04_04t1920_30_01_00(): with pytest.raises(ValueError) as excinfo: date('1994-04-04T1920:30+01:00') def test_5_1995_05_05t1920_30_45_01_00(): with pytest.raises(ValueError) as excinfo: date('1995-05-05T1920:30.45+01:00') def test_6_1996_06_06t0815_30_05_00(): with pytest.raises(ValueError) as excinfo: date('1996-06-06T0815:30-05:00') def test_7_1997_07_07t1315_30z(): with pytest.raises(ValueError) as excinfo: date('1997-07-07T1315:30Z') def test_8_2002_12_14(): with pytest.raises(ValueError) as excinfo: date('2002 12 14') def test_9_2002_12_14_20_15(): with pytest.raises(ValueError) as excinfo: date('2002-12-14 20:15') def test_10_january(): with pytest.raises(ValueError) as excinfo: date('January') def test_11_13_00(): with pytest.raises(ValueError) as excinfo: date('13:00')

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null

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5

16fefbf66c3aa2b0389b8a25825b997cc1d3e4aa

187

py

Python

instagram/instaclone/admin.py

kasambuli/InstaClone

c84ad962f02619ba41b9ba32a64b4146d05d8000

[ "Unlicense" ]

null

instagram/instaclone/admin.py

kasambuli/InstaClone

c84ad962f02619ba41b9ba32a64b4146d05d8000

[ "Unlicense" ]

null

instagram/instaclone/admin.py

kasambuli/InstaClone

c84ad962f02619ba41b9ba32a64b4146d05d8000

[ "Unlicense" ]

null

from django.contrib import admin from .models import Image, Profile, Comments #register models here admin.site.register(Image) admin.site.register(Profile) admin.site.register(Comments)

23.375

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5

e51c57a669a65fecb1a041ca2d38034026fb97f6

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py

Python

__init__.py

sunshine-app/tics_db

edb003cbd5bb5cde907d43b51e1156cd676ff10e

[ "MIT" ]

null

__init__.py

sunshine-app/tics_db

edb003cbd5bb5cde907d43b51e1156cd676ff10e

[ "MIT" ]

null

__init__.py

sunshine-app/tics_db

edb003cbd5bb5cde907d43b51e1156cd676ff10e

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @Time : 2020/1/15 10:04 # @Author : shine # @File : __init__.py.py

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99

3.2

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1

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null

0

1

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5

e52c1e02fcbc891936656c9e5573009127e0a146

687

py

Python

.venv/lib/python3.8/site-packages/aws_cdk/pipelines/_jsii/__init__.py

sandipganguly/cdkpipeline

aecde04724a99e55d20a62cd3ccded6ceedbe967

[ "MIT-0" ]

null

.venv/lib/python3.8/site-packages/aws_cdk/pipelines/_jsii/__init__.py

sandipganguly/cdkpipeline

aecde04724a99e55d20a62cd3ccded6ceedbe967

[ "MIT-0" ]

null

.venv/lib/python3.8/site-packages/aws_cdk/pipelines/_jsii/__init__.py

sandipganguly/cdkpipeline

aecde04724a99e55d20a62cd3ccded6ceedbe967

[ "MIT-0" ]

null

import abc import builtins import datetime import enum import typing import jsii import jsii.compat import publication import aws_cdk.aws_cloudformation._jsii import aws_cdk.aws_codebuild._jsii import aws_cdk.aws_codepipeline._jsii import aws_cdk.aws_codepipeline_actions._jsii import aws_cdk.aws_events._jsii import aws_cdk.aws_iam._jsii import aws_cdk.aws_s3_assets._jsii import aws_cdk.cloud_assembly_schema._jsii import aws_cdk.core._jsii import aws_cdk.cx_api._jsii import constructs._jsii __jsii_assembly__ = jsii.JSIIAssembly.load( "@aws-cdk/pipelines", "1.56.0", __name__[0:-6], "pipelines@1.56.0.jsii.tgz" ) __all__ = [ "__jsii_assembly__", ] publication.publish()

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0

null

0

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1

0

5

e550244ca62523f570e00d7bfbe1051340644f6b

342

py

Python

src/automotive/core/can/hardware/__init__.py

philosophy912/automotive

de918611652b789a83545f346c1569c2c2c955a6

[ "Apache-2.0" ]

null

src/automotive/core/can/hardware/__init__.py

philosophy912/automotive

de918611652b789a83545f346c1569c2c2c955a6

[ "Apache-2.0" ]

null

src/automotive/core/can/hardware/__init__.py

philosophy912/automotive

de918611652b789a83545f346c1569c2c2c955a6

[ "Apache-2.0" ]

1

2022-02-28T07:23:28.000Z

# -*- coding:utf-8 -*- # -------------------------------------------------------- # Copyright (C), 2016-2021, lizhe, All rights reserved # -------------------------------------------------------- # @Name: __init__.py.py # @Author: lizhe # @Created: 2021/10/4 - 20:24 # --------------------------------------------------------

38

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8

59

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0

null

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1

0

1

0

null

0

1

0

5

e59b8098361ecf90097d7e1f1f5826b5e2ed2883

493

py

Python

knx_stack/definition/knxnet_ip/state.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

2

2021-07-28T07:42:28.000Z

2022-01-25T18:56:05.000Z

knx_stack/definition/knxnet_ip/state.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

6

2021-07-25T21:36:01.000Z

2022-02-20T21:11:31.000Z

knx_stack/definition/knxnet_ip/state.py

majamassarini/knx-stack

11a9baac6b7600649b5fbca43c93b200b23676b4

[ "MIT" ]

null

import knx_stack.state class State(knx_stack.state.State): def __init__(self, medium, association_table=None, datapointtypes=None): super(State, self).__init__(medium, association_table, datapointtypes) self._communication_channel_id = 0 @property def communication_channel_id(self): return self._communication_channel_id @communication_channel_id.setter def communication_channel_id(self, value): self._communication_channel_id = value

30.8125

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493

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493

15

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null

1

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null

0

1

0

1

0

5

e5e6d8ac3e2e4331b78873651d262cf7b1607f4a

250

py

Python

simulacrum/coltypes.py

jbrambleDC/simulacrum

229ad1f8a83ddaf8cdbcec62d1098d3fcdd58d58

[ "MIT" ]

87

2016-09-18T10:10:40.000Z

2020-06-14T09:08:19.000Z

simulacrum/coltypes.py

jbrambleDC/simulacram

229ad1f8a83ddaf8cdbcec62d1098d3fcdd58d58

[ "MIT" ]

5

2016-09-19T08:45:48.000Z

2017-08-25T11:52:46.000Z

simulacrum/coltypes.py

jbrambleDC/simulacrum

229ad1f8a83ddaf8cdbcec62d1098d3fcdd58d58

[ "MIT" ]

7

2016-09-23T16:51:26.000Z

2017-07-26T01:15:00.000Z

class ColTypes: def __init__(self): self.coltypes = {} def add_coltype(self, name, coltype, **kwargs): kwargs['type'] = coltype self.coltypes[name] = kwargs def get_coltypes(self): return self.coltypes

20.833333

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250

5.178571

0.428571

0.248276

0

0.28

250

11

52

22.727273

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0.016

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0

0.125

0.625

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1

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null

1

0

null

0

1

0

1

0

5

f91337ccd5e0a7b98cfbd68fc2e43f56a4003927

140

py

Python

yaml_lib/__init__.py

ChauffeurPrive/nestor-api

364b5f034eeb929932a5a8c3f3b00d1275a7ae5b

[ "Apache-2.0" ]

2

2020-08-17T09:59:03.000Z

2020-08-17T09:59:23.000Z

yaml_lib/__init__.py

ChauffeurPrive/nestor-api

364b5f034eeb929932a5a8c3f3b00d1275a7ae5b

[ "Apache-2.0" ]

83

2020-06-12T14:37:35.000Z

2022-01-26T14:10:10.000Z

yaml_lib/__init__.py

ChauffeurPrive/nestor-api

364b5f034eeb929932a5a8c3f3b00d1275a7ae5b

[ "Apache-2.0" ]

1

2020-07-02T14:33:45.000Z

"""Library to handle all the YAML related functions""" from .dump_yaml import convert_to_yaml from .load_yaml import parse_yaml, read_yaml

28

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140

4.652174

0.652174

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140

4

55

35

0.877049

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true

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1

0

null

0

1

0

1

0

1

0

5

005709d7135db3c0340ab90e6a8a4d20f227b07b

546

py

Python

appendix/app/api/services/UserMetadataService.py

iurykrieger96/morpy-tcc

95cb484ede708fab798db5471f944472c2a65c66

[ "MIT" ]

null

appendix/app/api/services/UserMetadataService.py

iurykrieger96/morpy-tcc

95cb484ede708fab798db5471f944472c2a65c66

[ "MIT" ]

null

appendix/app/api/services/UserMetadataService.py

iurykrieger96/morpy-tcc

95cb484ede708fab798db5471f944472c2a65c66

[ "MIT" ]

null

from database.db import db import pymongo class UserMetadataService(object): def __init__(self): self.user_meta = db.user_metadata def get_active(self): return self.user_meta.find_one({'active': True}) def insert(self, user_meta_dict): return self.user_meta.insert(user_meta_dict) def disable_all(self): return self.user_meta.update({'active': True}, {'$set': {'active': False}}) def get_all(self): return self.user_meta.find().sort([('version', pymongo.DESCENDING)])

27.3

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0.233918

0

0.208791

546

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84

27.3

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false

0

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null

0

1

0

null

0

1

0

1

0

5

0062993db30d3ce74b493017c73c0610f9d8b839

132

py

Python

dbconfig.py

feilaoda/espider

e80b224a036141b17a21445c94de646d5e4d1482

[ "Apache-2.0" ]

null

dbconfig.py

feilaoda/espider

e80b224a036141b17a21445c94de646d5e4d1482

[ "Apache-2.0" ]

null

dbconfig.py

feilaoda/espider

e80b224a036141b17a21445c94de646d5e4d1482

[ "Apache-2.0" ]

1

2021-11-29T01:28:14.000Z

from sqlalchemy import create_engine engine = create_engine("mysql+mysqlconnector://root:admin@localhost/codespider?charset=utf8")

33

93

0.833333

16

132

6.75

0.8125

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132

3

94

44

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0

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false

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null

1

0

1

0

1

null

0

1

0

5

00810a3c303f903916219d75159fae7d61868577

58

py

Python

socialbus-scripts/indexing/datasources/__init__.py

arianpasquali/socialbus

942de3195f40732e8aa985c01f3733f9bc7eb39d

[ "MIT" ]

3

2016-11-27T17:20:24.000Z

2020-09-26T15:14:09.000Z

socialbus-scripts/indexing/datasources/__init__.py

arianpasquali/socialbus

942de3195f40732e8aa985c01f3733f9bc7eb39d

[ "MIT" ]

6

2021-06-04T01:08:16.000Z

2021-08-09T20:49:36.000Z

socialbus-scripts/indexing/datasources/__init__.py

tiagonc96/socialbustl

3a32a9184e7e2cea2a14091e74055eb8ed9cbcec

[ "MIT" ]

1

2017-03-08T17:02:19.000Z

from MongoDataSource import * from SolrDataSource import *

29

0.844828

6

58

8.166667

0.666667

0

0.12069

58

2

30

29

0.960784

0

1

0

true

0

1

0

1

0

1

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null

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0

null

0

1

0

1

0

1

0

5

009df85c3eb4df7e9670e9b5a193bde2d1525ecd

255

py

Python

mayo/net/tf/gate/squeeze.py

deep-fry/mayo

7211a11fdb9bb0a036d496a3eba16c96db122f89

[ "MIT" ]

110

2018-06-07T17:52:29.000Z

2022-03-28T08:04:02.000Z

mayo/net/tf/gate/squeeze.py

kypomon/mayo

7211a11fdb9bb0a036d496a3eba16c96db122f89

[ "MIT" ]

6

2019-10-17T12:00:29.000Z

2021-10-21T13:41:22.000Z

mayo/net/tf/gate/squeeze.py

kypomon/mayo

7211a11fdb9bb0a036d496a3eba16c96db122f89

[ "MIT" ]

22

2018-07-05T01:30:49.000Z

2021-10-19T06:15:40.000Z

from mayo.net.tf.gate.sparse import SparseRegularizedGatedConvolutionBase class SqueezeExciteGatedConvolution(SparseRegularizedGatedConvolutionBase): def activate(self, tensor): return self.actives() * self.gate() * super().activate(tensor)

36.428571

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0.792157

23

255

8.782609

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0

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255

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0.25

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0

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null

0

1

0

1

0

5

00a6aaabd6b6a973514feaf5b6dabe8f9e17fe69

230

py

Python

algorithms/age/optimizer.py

mpoiitis/iSpine

333c5c6326c7052a673ce89eabadb476031c7a35

[ "MIT" ]

4

2021-02-07T01:06:03.000Z

2021-09-07T11:55:46.000Z

algorithms/age/optimizer.py

mpoiitis/iSpine

333c5c6326c7052a673ce89eabadb476031c7a35

[ "MIT" ]

1

2021-04-13T07:29:50.000Z

2021-04-13T09:46:13.000Z

algorithms/age/optimizer.py

mpoiitis/iSpine

333c5c6326c7052a673ce89eabadb476031c7a35

[ "MIT" ]

1

2022-03-27T01:01:18.000Z

import torch import torch.nn.modules.loss import torch.nn.functional as F def loss_function(adj_preds, adj_labels, n_nodes): cost = 0. cost += F.binary_cross_entropy_with_logits(adj_preds, adj_labels) return cost

25.555556

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0.756522

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4.432432

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0.20122

0.158537

0.207317

0

0.005208

0.165217

230

9

70

25.555556

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null

0

1

0

1

0

5

00c17bb6b700a9b50a307924752cf9ab122d0a70

228

py

Python

systemtest/pts/models/__init__.py

IBM-Power-SystemTest/systemtest

a29e6d54500ca13f554073cc66a4a2d403ea5b14

[ "BSD-3-Clause" ]

1

2022-03-09T18:07:11.000Z

systemtest/pts/models/__init__.py

IBM-Power-SystemTest/systemtest

a29e6d54500ca13f554073cc66a4a2d403ea5b14

[ "BSD-3-Clause" ]

null

systemtest/pts/models/__init__.py

IBM-Power-SystemTest/systemtest

a29e6d54500ca13f554073cc66a4a2d403ea5b14

[ "BSD-3-Clause" ]

null

""" Django Models References: https://docs.djangoproject.com/en/3.1/topics/db/ https://docs.djangoproject.com/en/3.1/ref/models/ """ from .models import * from .request import * from .request_group import *

20.727273

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4.903226

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10

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null

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1

0

1

0

1

0

5

00c345a8f3b33eef65e4ae737206f64e2e507294

247

py

Python

src/icemac/callonchange/tests/__init__.py

icemac/icemac.callonchange

ad91599b1c095b4b7a0cc05a4895f6ad479c8352

[ "BSD-2-Clause" ]

1

2020-10-07T15:09:32.000Z

src/icemac/callonchange/tests/__init__.py

icemac/icemac.callonchange

ad91599b1c095b4b7a0cc05a4895f6ad479c8352

[ "BSD-2-Clause" ]

null

src/icemac/callonchange/tests/__init__.py

icemac/icemac.callonchange

ad91599b1c095b4b7a0cc05a4895f6ad479c8352

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2010-2011 Michael Howitz # See also LICENSE.txt def additional_tests(): # needed function to find doctests when runing `python setup.py test` import test_recipe return test_recipe.test_suite()

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4.914286

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null

0

1

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1

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0

5

00d36aa8889f98e483dca818c48d7890b3787091

25

py

Python

tests/syntax/def_missing_parens_2.py

matan-h/friendly

3ab0fc6541c837271e8865e247750007acdd18fb

[ "MIT" ]

287

2019-04-08T13:18:29.000Z

2021-03-14T19:10:21.000Z

tests/syntax/def_missing_parens_2.py

matan-h/friendly

3ab0fc6541c837271e8865e247750007acdd18fb

[ "MIT" ]

191

2019-04-08T14:39:18.000Z

2021-03-14T22:14:56.000Z

tests/syntax/def_missing_parens_2.py

matan-h/friendly

3ab0fc6541c837271e8865e247750007acdd18fb

[ "MIT" ]

9

2019-04-08T12:54:08.000Z

2020-11-20T02:26:27.000Z

def name a, b: pass

6.25

14

0.52

5

25

2.6

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8.333333

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null

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5

00dcd8c39b4e44ac2ccff8973fe61b9e60de07cc

79

py

Python

python/testData/intentions/returnTypeInDocstring.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/intentions/returnTypeInDocstring.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/intentions/returnTypeInDocstring.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def f(x): pass def g(x): y = x f(x) # (1) f(<caret>y) # (2)

9.875

22

0.341772

16

79

1.6875

0.5625

0.148148

0

0.043478

0.417722

79

8

22

9.875

0.543478

0.088608

0

null

0.166667

0

null

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

00dd6b4b556462911710dd95c9029b29fe02ce7c

150

py

Python

tests/mock_responses.py

vikcena01/django-push-notification

b478eee1274e5a42c4b8d7f11f610f08e9c1e73f

[ "MIT" ]

1

2015-03-04T04:30:19.000Z

tests/mock_responses.py

peterhinson/django-push-notifications

bf4e781aa4e67ea287027aa0d93c0faa0953c591

[ "MIT" ]

null

tests/mock_responses.py

peterhinson/django-push-notifications

bf4e781aa4e67ea287027aa0d93c0faa0953c591

[ "MIT" ]

null

GCM_PLAIN_RESPONSE = 'id=1:08' GCM_JSON_RESPONSE = '{"multicast_id":108,"success":1,"failure":0,"canonical_ids":0,"results":[{"message_id":"1:08"}]}'

50

118

0.7

24

150

4.083333

0.666667

0.061224

0.102041

0

0.083333

0.04

150

2

119

75

0.597222

0

0.5

0.686667

0.64

0

1

0

false

0

1

0

null

0

1

0

1

null

0

5

00ef6e816765e7fc076a3a76cb49523cc509aa5d

177

py

Python

enp/settings.py

igor47/enp

3362e12e811ab5cfb461f622c5cffcd56fed5f9b

[ "MIT" ]

null

enp/settings.py

igor47/enp

3362e12e811ab5cfb461f622c5cffcd56fed5f9b

[ "MIT" ]

null

enp/settings.py

igor47/enp

3362e12e811ab5cfb461f622c5cffcd56fed5f9b

[ "MIT" ]

null

import pathlib PROJECT_ROOT = pathlib.Path(__file__).parent.parent.absolute() INDEX_PATH = PROJECT_ROOT / "dist" / "index.html" ASSETS_PATH = PROJECT_ROOT / "dist" / "assets"

25.285714

62

0.745763

23

177

5.347826

0.521739

0.268293

0.243902

0.308943

0

0.118644

177

6

63

29.5

0.788462

0

0.135593

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

5

dab442172f803e7461bb4f2fed5eba962ce28bb6

30

py

Python

Problems/carrots.py

rikgj/Kattis

2e34dee307aef5acea5837732bf9f27f8c548e9c

[ "MIT" ]

null

Problems/carrots.py

rikgj/Kattis

2e34dee307aef5acea5837732bf9f27f8c548e9c

[ "MIT" ]

null

Problems/carrots.py

rikgj/Kattis

2e34dee307aef5acea5837732bf9f27f8c548e9c

[ "MIT" ]

null

print(input().split(' ')[1])

10

28

0.533333

4

30

4

1

0

0.037037

0.1

30

2

29

15

0.555556

0

0.034483

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

dae735ba86b0dff9e9ad8624976c8fb2ed759f78

106

py

Python

reference/Python/media/pillow/others/background_removal/merge.py

steadylearner/code

ba6df6c38a6e25b7ea996f4df905921e27760e04

[ "MIT" ]

4

2019-07-17T14:43:32.000Z

2022-03-27T21:38:01.000Z

reference/Python/media/pillow/others/background_removal/merge.py

steadylearner/code

ba6df6c38a6e25b7ea996f4df905921e27760e04

[ "MIT" ]

39

2020-09-04T03:31:16.000Z

2022-03-08T22:54:03.000Z

reference/Python/media/pillow/others/background_removal/merge.py

steadylearner/code

ba6df6c38a6e25b7ea996f4df905921e27760e04

[ "MIT" ]

1

2021-03-03T13:04:28.000Z

# $composite -dissolve 50 -gravity Center -geometry -11+6 prop-passer.png React.png -alpha Set result.png

53

105

0.764151

17

106

4.764706

0.882353

0

0.053763

0.122642

106

1

106

0.817204

0.971698

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

daf3a3c3296fd1144e9212c24f4e83e710b2a91b

23,499

py

Python

build/lib/pyhpeimc/plat/termaccess.py

HPNetworking/HP-Intelligent-Management-Center

4fba31827573587e03a6233c7db60f188038c8e5

[ "Apache-2.0" ]

13

2016-03-14T17:55:03.000Z

2021-03-26T07:18:26.000Z

build/lib/pyhpeimc/plat/termaccess.py

HPNetworking/HP-Intelligent-Management-Center

4fba31827573587e03a6233c7db60f188038c8e5

[ "Apache-2.0" ]

7

2016-08-04T17:39:11.000Z

2017-09-19T13:42:35.000Z

build/lib/pyhpeimc/plat/termaccess.py

HPNetworking/HP-Intelligent-Management-Center

4fba31827573587e03a6233c7db60f188038c8e5

[ "Apache-2.0" ]

17

2016-03-03T05:24:20.000Z

2022-03-10T08:16:31.000Z

#!/usr/bin/env python3 # author: @netmanchris # This section imports required libraries import json import requests import ipaddress HEADERS = {'Accept': 'application/json', 'Content-Type': 'application/json', 'Accept-encoding': 'application/json'} def get_real_time_locate(ipAddress, auth, url): """ function takes the ipAddress of a specific host and issues a RESTFUL call to get the device and interface that the target host is currently connected to. Note: Although intended to return a single location, Multiple locations may be returned for a single host due to a partially discovered network or misconfigured environment. :param ipAddress: str value valid IPv4 IP address :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: list of dictionaries where each element of the list represents the location of the target host :rtype: list >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> found_device = get_real_time_locate('10.101.0.51', auth.creds, auth.url) >>> assert type(found_device) is list >>> assert 'deviceId' in found_device[0] >>> assert 'deviceId' in found_device[0] >>> assert 'deviceId' in found_device[0] >>> assert 'deviceId' in found_device[0] >>> no_device = get_real_time_locate('192.168.254.254', auth.creds, auth.url) >>> assert type(no_device) is dict >>> assert len(no_device) == 0 """ real_time_locate_url = "/imcrs/res/access/realtimeLocate?type=2&value=" + str(ipAddress) + "&total=false" f_url = url + real_time_locate_url r = requests.get(f_url, auth=auth, headers=HEADERS) # creates the URL using the payload variable as the contents try: if r.status_code == 200: response = json.loads(r.text) if 'realtimeLocation' in response: real_time_locate = json.loads(r.text)['realtimeLocation'] if type(real_time_locate) is dict: real_time_locate = [real_time_locate] return real_time_locate else: return json.loads(r.text)['realtimeLocation'] else: return json.loads(r.text) except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " get_real_time_locate: An Error has occured" def get_ip_mac_arp_list(devId, auth,url): """ function takes devid of specific device and issues a RESTFUL call to get the IP/MAC/ARP list from the target device. :param devId: int or str value of the target device. :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: list of dictionaries containing the IP/MAC/ARP list of the target device. :rtype: list >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> ip_mac_list = get_ip_mac_arp_list('10', auth.creds, auth.url) >>> assert type(ip_mac_list) is list >>> assert 'deviceId' in ip_mac_list[0] """ if auth is None or url is None: # checks to see if the imc credentials are already available set_imc_creds() ip_mac_arp_list_url = "/imcrs/res/access/ipMacArp/" + str(devId) f_url = url + ip_mac_arp_list_url r = requests.get(f_url, auth=auth, headers=HEADERS) # creates the URL using the payload variable as the contents try: if r.status_code == 200: macarplist = (json.loads(r.text)) if len(macarplist) > 1: return macarplist['ipMacArp'] else: return ['this function is unsupported'] except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " get_ip_mac_arp_list: An Error has occured" #this section deals with the IP Address Manager functions with terminal access of HPE IMC Base platform #Following functions deal with IP scopes def get_ip_scope(auth, url, scopeId=None,): """ function requires no inputs and returns all IP address scopes currently configured on the HPE IMC server. If the optional scopeId parameter is included, this will automatically return only the desired scope id. :param scopeId: integer of the desired scope id ( optional ) :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: list of dictionary objects where each element of the list represents one IP scope :rtype: list >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> ip_scope_list = get_ip_scope(auth.creds, auth.url) >>> assert type(ip_scope_list) is list >>> assert 'ip' in ip_scope_list[0] """ if scopeId is None: get_ip_scope_url = "/imcrs/res/access/assignedIpScope" else: get_ip_scope_url = "/imcrs/res/access/assignedIpScope/ip?ipScopeId="+str(scopeId) f_url = url + get_ip_scope_url r = requests.get(f_url, auth=auth, headers=HEADERS) # creates the URL using the payload variable as the contents try: if r.status_code == 200: ipscopelist = (json.loads(r.text)) return ipscopelist['assignedIpScope'] except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " get_ip_scope: An Error has occured" def get_ip_scope_detail(scopeId, auth, url ): """ function requires no inputs and returns all IP address scopes currently configured on the HPE IMC server. If the optional scopeId parameter is included, this will automatically return only the desired scope id. :param scopeId: integer of the desired scope id ( optional ) :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: dictionary, may containing multiple entries if sub-scopes have been created :rtype: dict >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> ip_scope_detail = get_ip_scope_detail('45', auth.creds, auth.url) >>> assert type(ip_scope_detail) is dict >>> assert 'startIp' in ip_scope_detail """ get_ip_scope_url = "/imcrs/res/access/assignedIpScope/"+str(scopeId) f_url = url + get_ip_scope_url r = requests.get(f_url, auth=auth, headers=HEADERS) # creates the URL using the payload variable as the contents try: if r.status_code == 200: ipscopelist = (json.loads(r.text)) return ipscopelist except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " get_ip_scope: An Error has occured" def add_ip_scope(startIp, endIp, name, description, auth, url): """ Function takes input of four strings Start Ip, endIp, name, and description to add new Ip Scope to terminal access in the HPE IMC base platform :param startIp: str Start of IP address scope ex. '10.101.0.1' :param endIp: str End of IP address scope ex. '10.101.0.254' :param name: str Name of the owner of this IP scope ex. 'admin' :param description: str description of the Ip scope :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: 200 if successfull :rtype: >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> delete_ip_scope('10.50.0.0/24', auth.creds, auth.url) <Response [204]> >>> new_scope = add_ip_scope('10.50.0.1', '10.50.0.254', 'cyoung', 'test group', auth.creds, auth.url) >>> assert type(new_scope) is int >>> assert new_scope == 200 >>> existing_scope = add_ip_scope('10.50.0.1', '10.50.0.254', 'cyoung', 'test group', auth.creds, auth.url) >>> assert type(existing_scope) is int >>> assert existing_scope == 409 """ if auth is None or url is None: # checks to see if the imc credentials are already available set_imc_creds() add_ip_scope_url = "/imcrs/res/access/assignedIpScope" f_url = url + add_ip_scope_url payload = ('''{ "startIp": "%s", "endIp": "%s","name": "%s","description": "%s" }''' %(str(startIp), str(endIp), str(name), str(description))) r = requests.post(f_url, auth=auth, headers=HEADERS, data=payload) # creates the URL using the payload variable as the contents try: if r.status_code == 200: #print("IP Scope Successfully Created") return r.status_code elif r.status_code == 409: #print ("IP Scope Already Exists") return r.status_code except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " add_ip_scope: An Error has occured" def add_child_ip_scope(startIp, endIp, name, description, scopeid, auth, url): """ Function takes input of four strings Start Ip, endIp, name, and description to add new Ip Scope to terminal access in the HPE IMC base platform :param startIp: str Start of IP address scope ex. '10.101.0.1' :param endIp: str End of IP address scope ex. '10.101.0.254' :param name: str Name of the owner of this IP scope ex. 'admin' :param description: str description of the Ip scope :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: 200 :rtype: >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> add_child_ip_scope('10.50.0.1', '10.50.0.126', 'cyoung', 'test sub scope', '175', auth.creds, auth.url) """ if auth is None or url is None: # checks to see if the imc credentials are already available set_imc_creds() add_ip_scope_url = "/imcrs/res/access/assignedIpScope/" + str(scopeid) f_url = url + add_ip_scope_url payload = ('''{ "startIp": "%s", "endIp": "%s","name": "%s","description": "%s", "parentId" : "%s"}''' %(str(startIp), str(endIp), str(name), str(description), str(scopeid))) r = requests.post(f_url, auth=auth, headers=HEADERS, data=payload) # creates the URL using the payload variable as the contents try: if r.status_code == 200: #print("IP Scope Successfully Created") return r.status_code elif r.status_code == 409: #print ("Conflict with Current Scope") return r.status_code except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " add_ip_scope: An Error has occured" def delete_ip_scope(network_address, auth, url): '''Function to delete an entire IP segment from the IMC IP Address management under terminal access :param network_address :param auth :param url >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> new_scope = add_ip_scope('10.50.0.1', '10.50.0.254', 'cyoung', 'test group', auth.creds, auth.url) >>> delete_scope = delete_ip_scope('10.50.0.0/24', auth.creds, auth.url) ''' scope_id = get_scope_id(network_address, auth,url) delete_ip_address_url = '''/imcrs/res/access/assignedIpScope/'''+str(scope_id) f_url = url + delete_ip_address_url r = requests.delete(f_url, auth=auth, headers=HEADERS) try: return r if r.status_code == 204: #print("IP Segment Successfully Deleted") return r.status_code except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " delete_ip_scope: An Error has occured" #Following functions deal with hosts assigned to IP scopes def add_scope_ip(ipaddress, name, description, scopeid, auth, url): """ Function to add new host IP address allocation to existing scope ID :param ipaddress: :param name: name of the owner of this host :param description: Description of the host :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: :rtype: >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> add_scope_ip('10.50.0.5', 'cyoung', 'New Test Host','175', auth.creds, auth.url) """ new_ip = { "ip": ipaddress, "name": name, "description": description} add_scope_ip_url = '/imcrs/res/access/assignedIpScope/ip?ipScopeId='+str(scopeid) f_url = url + add_scope_ip_url payload = json.dumps(new_ip) r = requests.post(f_url, auth=auth, headers=HEADERS, data=payload) # creates the URL using the payload variable as the contents try: if r.status_code == 200: #print("IP Scope Successfully Created") return r.status_code elif r.status_code == 409: #print("IP Scope Already Exists") return r.status_code except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " add_ip_scope: An Error has occured" def remove_scope_ip(hostid, auth, url): """ Function to add remove IP address allocation :param hostid: Host id of the host to be deleted :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: String of HTTP response code. Should be 204 is successfull :rtype: str >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> new_scope = add_ip_scope('10.50.0.1', '10.50.0.254', 'cyoung', 'test group', auth.creds, auth.url) >>> add_host_to_segment('10.50.0.5', 'cyoung', 'New Test Host', '10.50.0.0/24', auth.creds, auth.url) >>> host_id = get_host_id('10.50.0.5', '10.50.0.0/24', auth.creds, auth.url) >>> rem_host = remove_scope_ip(host_id, auth.creds, auth.url) >>> assert type(rem_host) is int >>> assert rem_host == 204 """ add_scope_ip_url = '/imcrs/res/access/assignedIpScope/ip/'+str(hostid) f_url = url + add_scope_ip_url r = requests.delete(f_url, auth=auth, headers=HEADERS, ) try: if r.status_code == 204: #print("Host Successfully Deleted") return r.status_code elif r.status_code == 409: #print("IP Scope Already Exists") return r.status_code except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " add_ip_scope: An Error has occured" def get_ip_scope_hosts( scopeId, auth, url): """ Function requires input of scope ID and returns list of allocated IP address for the specified scope :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :param scopeId: Interger of teh desired scope id :return: list of dictionary objects where each element of the list represents a single host assigned to the IP scope :rtype: list >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> scope_id = get_scope_id('10.50.0.0/24', auth.creds, auth.url) >>> ip_scope_hosts = get_ip_scope_hosts(scope_id, auth.creds, auth.url) >>> assert type(ip_scope_hosts) is list >>> assert 'name' in ip_scope_hosts[0] >>> assert 'description' in ip_scope_hosts[0] >>> assert 'ip' in ip_scope_hosts[0] >>> assert 'id' in ip_scope_hosts[0] """ get_ip_scope_url = "/imcrs/res/access/assignedIpScope/ip?size=10000&ipScopeId="+str(scopeId) f_url = url + get_ip_scope_url r = requests.get(f_url, auth=auth, headers=HEADERS) # creates the URL using the payload variable as the contents try: if r.status_code == 200: ipscopelist = (json.loads(r.text)) if ipscopelist == {}: return ipscopelist else: ipscopelist = ipscopelist['assignedIpInfo'] if type(ipscopelist) is dict: ipscope = [] ipscope.append(ipscopelist) return ipscope return ipscopelist except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " get_ip_scope: An Error has occured" def add_scope_ip(ipaddress, name, description, scopeid, auth, url): """ Function to add new host IP address allocation to existing scope ID :param ipaddress: :param name: name of the owner of this host :param description: Description of the host :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: :rtype: >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> new_host = add_scope_ip('10.50.0.5', 'cyoung', 'New Test Host','175', auth.creds, auth.url) """ new_ip = { "ip": ipaddress, "name": name, "description": description} add_scope_ip_url = '/imcrs/res/access/assignedIpScope/ip?ipScopeId='+str(scopeid) f_url = url + add_scope_ip_url payload = json.dumps(new_ip) r = requests.post(f_url, auth=auth, headers=HEADERS, data=payload) # creates the URL using the payload variable as the contents try: if r.status_code == 200: #print("IP Host Successfully Created") return r.status_code elif r.status_code == 409: #print("IP Host Already Exists") return r.status_code except requests.exceptions.RequestException as e: return "Error:\n" + str(e) + " add_ip_scope: An Error has occured" def add_host_to_segment(ipaddress, name, description, network_address, auth, url): ''' Function to abstract existing add_scope_ip_function. Allows for use of network address rather than forcing human to learn the scope_id :param ipaddress: :param name: name of the owner of this host :param description: Description of the host :param: network_address: network address of the target scope in format x.x.x.x/yy where x.x.x.x representents the network address and yy represents the length of the subnet mask. Example: 10.50.0.0 255.255.255.0 would be written as 10.50.0.0/24 :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: :rtype: ''' scope_id = get_scope_id(network_address, auth, url) add_scope_ip(ipaddress, name, description, scope_id, auth,url) def delete_host_from_segment(ipaddress, networkaddress, auth, url): '''Function to abstract ''' host_id = get_host_id(ipaddress, networkaddress, auth, url) remove_scope_ip(host_id, auth.creds, auth.url) """ Following Section are Helper functions to help translate human readable IPv4 address to IMC internal keys for working with IP scopes and hosts """ def get_scope_id(network_address, auth, url): """ :param network_address: network address of the target scope in format x.x.x.x/yy where x.x.x.x representents the network address and yy represents the length of the subnet mask. Example: 10.50.0.0 255.255.255.0 would be written as 10.50.0.0/24 :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: str object which contains the numerical ID of the target scope :rtype: str >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> new_scope = add_ip_scope('10.50.0.1', '10.50.0.254', 'cyoung', 'test group', auth.creds, auth.url) >>> scope_id = get_scope_id('10.50.0.0/24', auth.creds, auth.url) >>> assert type(scope_id) is str """ netaddr = ipaddress.ip_network(network_address) scopes = get_ip_scope(auth, url) for i in scopes: if int(i['id']) > 0: if ipaddress.ip_address(i['startIp']) in netaddr and ipaddress.ip_address(i['endIp']) in netaddr: return i['id'] if "assignedIpScope" in i: for child in i['assignedIpScope']: if ipaddress.ip_address(child['startIp']) in netaddr and ipaddress.ip_address(child['endIp']) in netaddr: return child['id'] def get_host_id(host_address, network_address, auth, url): """ :param host: str describing network address of the target scope in format x.x.x.x where x.x.x.x representents the full ipv4 address. Example: 10.50.0.5 255.255.255.0 would be written as 10.50.0.5 :param network_address: network address of the target scope in format x.x.x.x/yy where x.x.x.x representents the network address and yy represents the length of the subnet mask. Example: 10.50.0.0 255.255.255.0 would be written as 10.50.0.0/24 :param auth: requests auth object #usually auth.creds from auth pyhpeimc.auth.class :param url: base url of IMC RS interface #usually auth.url from pyhpeimc.auth.authclass :return: str object which contains the numerical ID of the target scope :rtype: str >>> from pyhpeimc.auth import * >>> from pyhpeimc.plat.termaccess import * >>> auth = IMCAuth("http://", "10.101.0.203", "8080", "admin", "admin") >>> new_scope = add_ip_scope('10.50.0.1', '10.50.0.254', 'cyoung', 'test group', auth.creds, auth.url) >>> add_host_to_segment('10.50.0.5', 'cyoung', 'New Test Host', '10.50.0.0/24', auth.creds, auth.url) >>> new_host_id = get_host_id('10.50.0.5', '10.50.0.0/24', auth.creds, auth.url) >>> assert type(new_host_id) is str """ scope_id = get_scope_id(network_address, auth, url) all_scope_hosts = get_ip_scope_hosts(scope_id, auth, url) for host in all_scope_hosts: if host['ip'] == host_address: return host['id']

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Python

LeapMotionBlender/UI/__init__.py

ALucatero03/Blender-Puppet-Motion

ce3beea7d681966a17aeaf6382424efaa3f05f5d

[ "MIT" ]

21

2020-11-05T23:11:28.000Z

2022-03-22T16:01:08.000Z

LeapMotionBlender/UI/__init__.py

ALucatero03/Blender-Puppet-Motion

ce3beea7d681966a17aeaf6382424efaa3f05f5d

[ "MIT" ]

6

2019-10-08T20:55:22.000Z

2019-12-17T07:05:22.000Z

LeapMotionBlender/UI/__init__.py

ALucatero03/Blender-Puppet-Motion

ce3beea7d681966a17aeaf6382424efaa3f05f5d

[ "MIT" ]

5

2019-10-09T18:08:44.000Z

2019-12-24T10:46:43.000Z

from .Panels import HandSelect, TrackSettings, MainLeapPanel from .Menus import SettingsPanel

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9723a6d7d8853f69e03036b65fe1cbe7411bef70

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py

Python

clustering/distance_measures.py

rodriggs/pipeline

a91a19dd631a5f352e1f610f82ff626e525b679d

[ "MIT" ]

null

clustering/distance_measures.py

rodriggs/pipeline

a91a19dd631a5f352e1f610f82ff626e525b679d

[ "MIT" ]

null

clustering/distance_measures.py

rodriggs/pipeline

a91a19dd631a5f352e1f610f82ff626e525b679d

[ "MIT" ]

null

import pandas as pd import numpy as np from sklearn import metrics def distance_measures(): """ INPUT: OUTPUT: """ pass if __name__ == '__main__': main()

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973063fe4268fc45f9f78ef4bed7f0a8a3d559bd

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py

Python

scripts/efusionRegistrationTest.py

hz-ants/LabelFusion-docker2-

8dc116064a1bdcfa2c2dd814580b5f43d46c6f40

[ "BSD-3-Clause" ]

313

2017-07-16T02:00:16.000Z

2022-03-31T11:00:10.000Z

scripts/efusionRegistrationTest.py

hz-ants/LabelFusion-docker2-

8dc116064a1bdcfa2c2dd814580b5f43d46c6f40

[ "BSD-3-Clause" ]

94

2017-07-16T19:59:06.000Z

2022-03-30T08:14:22.000Z

scripts/efusionRegistrationTest.py

hz-ants/LabelFusion-docker2-

8dc116064a1bdcfa2c2dd814580b5f43d46c6f40

[ "BSD-3-Clause" ]

87

2017-07-14T16:01:54.000Z

2022-03-23T17:33:47.000Z

''' # phone pick_point 0.75556, -0.04087, -0.23920 pick_normal -0.79761, 0.29078, 0.52846 dist_to_previous_point 0.000000 # toothpaste pick_point 0.66325, -0.12406, -0.11679 pick_normal -0.46777, -0.05299, 0.88226 dist_to_previous_point 0.174430 # oil bottle pick_point 0.78493, -0.03217, -0.01731 pick_normal -0.63093, -0.11345, 0.76750 dist_to_previous_point 0.182061 # toy robot pick_point 0.76878, 0.10297, -0.14594 pick_normal -0.69869, -0.01452, 0.71528 dist_to_previous_point 0.187268 # table pick_point 0.78427, 0.03044, -0.24667 pick_normal -0.76159, 0.16045, 0.62788 dist_to_previous_point 0.125088 '''

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97384b1b5d496898b55b560f28f00b9d4c85f0c4

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py

Python

users/urls.py

rohanjsuresh/extracted_keyword_validation

94e56c645c066d9d20097433b1716b3e76625b3d

[ "MIT" ]

null

users/urls.py

rohanjsuresh/extracted_keyword_validation

94e56c645c066d9d20097433b1716b3e76625b3d

[ "MIT" ]

null

users/urls.py

rohanjsuresh/extracted_keyword_validation

94e56c645c066d9d20097433b1716b3e76625b3d

[ "MIT" ]

1

2021-05-18T16:40:55.000Z

from django.urls import path from . import views from django.conf import settings from django.conf.urls.static import static urlpatterns = [ path('register/', views.register, name='register'), ]

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979c0948b812296129b262b1790c6dc8982735ce

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py

Python

test/unit/test_dataset_load.py

zlinzju/DeepReg

e808a4d80ea29233fa664df374e79af46d9ff60f

[ "Apache-2.0" ]

1

2020-11-05T12:17:27.000Z

test/unit/test_dataset_load.py

zlinzju/DeepReg

e808a4d80ea29233fa664df374e79af46d9ff60f

[ "Apache-2.0" ]

null

test/unit/test_dataset_load.py

zlinzju/DeepReg

e808a4d80ea29233fa664df374e79af46d9ff60f

[ "Apache-2.0" ]

null

# coding=utf-8 """ Tests for deepreg/dataset/load.py in pytest style """ import pytest import yaml import deepreg.dataset.load as load from deepreg.dataset.loader.grouped_loader import GroupedDataLoader from deepreg.dataset.loader.nifti_loader import NiftiFileLoader from deepreg.dataset.loader.paired_loader import PairedDataLoader from deepreg.dataset.loader.unpaired_loader import UnpairedDataLoader def load_yaml(file_path: str) -> dict: """ load the yaml file and return a dictionary """ assert file_path.endswith(".yaml") with open(file_path) as file: return yaml.load(file, Loader=yaml.FullLoader) def test_get_data_loader(): """ Test for get_data_loader to make sure it get correct data loader and raise correct errors """ # single paired data loader config = load_yaml("config/test/paired_nifti.yaml") got = load.get_data_loader(data_config=config["dataset"], mode="train") assert isinstance(got, PairedDataLoader) config = load_yaml("config/test/paired_h5.yaml") got = load.get_data_loader(data_config=config["dataset"], mode="train") assert isinstance(got, PairedDataLoader) # single unpaired data loader config = load_yaml("config/test/unpaired_nifti.yaml") got = load.get_data_loader(data_config=config["dataset"], mode="train") assert isinstance(got, UnpairedDataLoader) config = load_yaml("config/test/unpaired_h5.yaml") got = load.get_data_loader(data_config=config["dataset"], mode="train") assert isinstance(got, UnpairedDataLoader) # single grouped data loader config = load_yaml("config/test/grouped_nifti.yaml") got = load.get_data_loader(data_config=config["dataset"], mode="train") assert isinstance(got, GroupedDataLoader) config = load_yaml("config/test/grouped_h5.yaml") got = load.get_data_loader(data_config=config["dataset"], mode="train") assert isinstance(got, GroupedDataLoader) # empty data loader config = load_yaml("config/test/paired_nifti.yaml") config["dataset"]["dir"]["train"] = "" got = load.get_data_loader(data_config=config["dataset"], mode="train") assert got is None config = load_yaml("config/test/paired_nifti.yaml") config["dataset"]["dir"]["train"] = None got = load.get_data_loader(data_config=config["dataset"], mode="train") assert got is None # unpaired data loader with multiple dirs config = load_yaml("config/test/unpaired_nifti_multi_dirs.yaml") got = load.get_data_loader(data_config=config["dataset"], mode="train") assert isinstance(got, UnpairedDataLoader) # check not a directory error config = load_yaml("config/test/paired_nifti.yaml") config["dataset"]["dir"]["train"] += ".h5" with pytest.raises(ValueError) as err_info: load.get_data_loader(data_config=config["dataset"], mode="train") assert "is not a directory or does not exist" in str(err_info.value) # check directory not existed error config = load_yaml("config/test/paired_nifti.yaml") config["dataset"]["dir"]["train"] = "/this_should_not_existed" with pytest.raises(ValueError) as err_info: load.get_data_loader(data_config=config["dataset"], mode="train") assert "is not a directory or does not exist" in str(err_info.value) # check mode config = load_yaml("config/test/paired_nifti.yaml") with pytest.raises(AssertionError) as err_info: load.get_data_loader(data_config=config["dataset"], mode="example") assert "mode must be one of train/valid/test" in str(err_info.value) def test_get_single_data_loader(): """ Test for get_single_data_loader to make sure it get correct data loader and raise correct errors Mainly based on nifti file loader """ common_args = dict( file_loader=NiftiFileLoader, labeled=True, sample_label="sample", seed=0 ) # single paired data loader config = load_yaml("config/test/paired_nifti.yaml") got = load.get_single_data_loader( data_type=config["dataset"]["type"], data_config=config["dataset"], common_args=common_args, data_dir_paths=[config["dataset"]["dir"]["train"]], ) assert isinstance(got, PairedDataLoader) # single unpaired data loader config = load_yaml("config/test/unpaired_nifti.yaml") got = load.get_single_data_loader( data_type=config["dataset"]["type"], data_config=config["dataset"], common_args=common_args, data_dir_paths=[config["dataset"]["dir"]["train"]], ) assert isinstance(got, UnpairedDataLoader) # single grouped data loader config = load_yaml("config/test/grouped_nifti.yaml") got = load.get_single_data_loader( data_type=config["dataset"]["type"], data_config=config["dataset"], common_args=common_args, data_dir_paths=[config["dataset"]["dir"]["train"]], ) assert isinstance(got, GroupedDataLoader) # not supported data loader config = load_yaml("config/test/paired_nifti.yaml") with pytest.raises(ValueError) as err_info: load.get_single_data_loader( data_type="NotSupported", data_config=config["dataset"], common_args=common_args, data_dir_paths=[config["dataset"]["dir"]["train"]], ) assert "Unknown data format" in str(err_info.value) # wrong keys for paired loader config = load_yaml("config/test/paired_nifti.yaml") # delete correct keys and add wrong one config["dataset"].pop("moving_image_shape", None) config["dataset"].pop("fixed_image_shape", None) with pytest.raises(ValueError) as err_info: load.get_single_data_loader( data_type="paired", data_config=config["dataset"], common_args=common_args, data_dir_paths=[config["dataset"]["dir"]["train"]], ) assert "Paired Loader requires 'moving_image_shape' and 'fixed_image_shape'" in str( err_info.value ) # wrong keys for unpaired loader config = load_yaml("config/test/unpaired_nifti.yaml") # delete correct keys and add wrong one config["dataset"].pop("image_shape", None) with pytest.raises(ValueError) as err_info: load.get_single_data_loader( data_type="unpaired", data_config=config["dataset"], common_args=common_args, data_dir_paths=[config["dataset"]["dir"]["train"]], ) assert "Unpaired Loader requires 'image_shape'" in str(err_info.value) # wrong keys for grouped loader config = load_yaml("config/test/unpaired_nifti.yaml") # delete correct keys and add wrong one config["dataset"].pop("intra_group_prob", None) with pytest.raises(ValueError) as err_info: load.get_single_data_loader( data_type="grouped", data_config=config["dataset"], common_args=common_args, data_dir_paths=[config["dataset"]["dir"]["train"]], ) assert "Grouped Loader requires 'image_shape'" in str(err_info.value)

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c101acad67fe9cceca2b7bea2708f02fccec8303

177

py

Python

extension.py

javaarchive/idle

b55e7808fef3f2c16c0652faad7f7434207bc2d0

[ "MIT" ]

null

extension.py

javaarchive/idle

b55e7808fef3f2c16c0652faad7f7434207bc2d0

[ "MIT" ]

1

2017-03-16T01:36:03.000Z

extension.py

javaarchive/PIDLE

b55e7808fef3f2c16c0652faad7f7434207bc2d0

[ "MIT" ]

null

class Plugin: def __init__(self,stuff): self.parms=stuff def find(self): self.parms[3].insert(0.0,"find not finished")

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py

Python

fastapi_skeleton/models/mood.py

Sayar1106/OTTPlatformRecommender

85b72dfe9f810e3b6e12f8c7702ef94db3a03190

[ "MIT" ]

null

fastapi_skeleton/models/mood.py

Sayar1106/OTTPlatformRecommender

85b72dfe9f810e3b6e12f8c7702ef94db3a03190

[ "MIT" ]

1

2020-09-10T17:48:09.000Z

2020-09-10T17:50:28.000Z

fastapi_skeleton/models/mood.py

Sayar1106/OTTPlatformRecommender

85b72dfe9f810e3b6e12f8c7702ef94db3a03190

[ "MIT" ]

1

2020-09-25T11:32:57.000Z

from pydantic import BaseModel from fastapi_skeleton.models.payload import (song) class MoodListResult(BaseModel): songs: str

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py

Python

tests/base/conftest.py

Gabinou/NHPPy

1068b1548d008771a58d5479d8333703c54abbed

[ "MIT" ]

51

2019-02-01T19:43:37.000Z

2022-03-16T09:07:03.000Z

tests/base/conftest.py

noisyoscillator/stochastic

168659c36fd16a33f69b1f21654a7661286dc9d0

[ "MIT" ]

2

2019-02-23T18:54:22.000Z

2019-11-09T01:30:32.000Z

tests/base/conftest.py

noisyoscillator/stochastic

168659c36fd16a33f69b1f21654a7661286dc9d0

[ "MIT" ]

35

2019-02-08T02:00:31.000Z

2022-03-01T23:17:00.000Z

"""Pytest fixtures.""" # flake8: noqa import pytest # Checks class fixtures @pytest.fixture(params=[4, 4.2, "4", -4]) def increments_fixture(request): return request.param @pytest.fixture(params=[4, 4.2, "4"]) def number_fixture(request): return request.param @pytest.fixture(params=[4, 0, -4]) def positive_number_fixture(request): return request.param @pytest.fixture(params=["PARAMETER_NAME"]) def parameter_name_fixture(request): return request.param @pytest.fixture(params=[4, 0, -4]) def nonnegative_number_fixture(request): return request.param @pytest.fixture(params=[True, False, 0]) def zero_fixture(request): return request.param has_negative = [-5, -4, 0, 4, 5] bad_order = [0, 3, 2, 5] good_example = list(range(10)) @pytest.fixture(params=[has_negative, bad_order, good_example]) def times_fixture(request): return request.param # Continuous class fixtures @pytest.fixture(params=[True, False]) def zero(request): return request.param @pytest.fixture(params=[16]) def n(request): return request.param @pytest.fixture(params=[1]) def end(request): return request.param

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5

c1332ce51bdac56785471aeb9c850075e78657fc

53

py

Python

d3m/__main__.py

tods-doc/tamu_d3m

a6a05f022ea60ab9787cbd89659ea8e0062ca22b

[ "Apache-2.0" ]

null

d3m/__main__.py

tods-doc/tamu_d3m

a6a05f022ea60ab9787cbd89659ea8e0062ca22b

[ "Apache-2.0" ]

null

d3m/__main__.py

tods-doc/tamu_d3m

a6a05f022ea60ab9787cbd89659ea8e0062ca22b

[ "Apache-2.0" ]

null

import sys from d3m import cli cli.main(sys.argv)

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3.9

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0.188679

53

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0

1

0

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0

0.666667

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0.666667

0

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null

0

1

0

1

0

1

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5

c16a4562ad9039f6a6589dfdf3d2441fb3d01ae2

1,591

py

Python

predictionserver/habits.py

EricZLou/predictionserver

5f9d4a6711f9941f3c221ef1dccf57418dd17306

[ "MIT" ]

null

predictionserver/habits.py

EricZLou/predictionserver

5f9d4a6711f9941f3c221ef1dccf57418dd17306

[ "MIT" ]

null

predictionserver/habits.py

EricZLou/predictionserver

5f9d4a6711f9941f3c221ef1dccf57418dd17306

[ "MIT" ]

null

from predictionserver.futureconventions.autoconfigure import AutoConfigure from predictionserver.serverhabits.balancehabits import BalanceHabits from predictionserver.serverhabits.keyhabits import KeyHabits from predictionserver.serverhabits.attributehabits import AttributeHabits from predictionserver.serverhabits.horizonhabits import HorizonHabits from predictionserver.serverhabits.naminghabits import NamingHabits from predictionserver.serverhabits.laggedhabits import LaggedHabits from predictionserver.serverhabits.memohabits import MemoHabits from predictionserver.serverhabits.scenariohabits import ScenarioHabits from predictionserver.serverhabits.ownershiphabits import OwnershipHabits from predictionserver.serverhabits.plottinghabits import PlottingHabits from predictionserver.serverhabits.statshabits import StatsHabits from predictionserver.futureconventions.zcurveconventions import ZCurveConventions from predictionserver.serverhabits.metrichabits import MetricHabits from predictionserver.serverhabits.hashhabits import HashHabits from predictionserver.serverhabits.sortedsethabits import SortedSetHabits class Habits(PlottingHabits, LaggedHabits, HorizonHabits, ScenarioHabits, StatsHabits, NamingHabits, AttributeHabits, MetricHabits, HashHabits, SortedSetHabits, MemoHabits, BalanceHabits, OwnershipHabits, KeyHabits, AutoConfigure, ZCurveConventions): def __init__(self,**kwargs): super().__init__(**kwargs) if __name__=='__main__': habits = Habits() print(habits.BALANCE) print(habits._OWNERS()) # <--- will fail

53.033333

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null

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c1905719e923d7007fa44f52324618a56328bcc6

275

py

Python

src/cr/__init__.py

Crunch-io/crunch-cube

80986d5b2106c774f05176fb6c6a5ea0d840f09d

[ "MIT" ]

3

2021-01-22T20:42:31.000Z

2021-06-02T17:53:19.000Z

src/cr/__init__.py

Crunch-io/crunch-cube

80986d5b2106c774f05176fb6c6a5ea0d840f09d

[ "MIT" ]

331

2017-11-13T22:41:56.000Z

2021-12-02T21:59:43.000Z

src/cr/__init__.py

Crunch-io/crunch-cube

80986d5b2106c774f05176fb6c6a5ea0d840f09d

[ "MIT" ]

1

2021-02-19T02:49:00.000Z

# See http://peak.telecommunity.com/DevCenter/setuptools#namespace-packages try: # pragma: no cover __import__("pkg_resources").declare_namespace(__name__) except ImportError: # pragma: no cover __import__("pkgutil").extend_path(__path__, __name__) # type: ignore

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0.202128

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275

5

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null

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1

0

1

0

5

c1ba571884c0e66477ff1de2fe45a395773e14c9

136

py

Python

astroquery/casda/tests/setup_package.py

rickynilsson/astroquery

b7edec0d8e36b11c25baa39ad72e4160bc30d465

[ "BSD-3-Clause" ]

577

2015-02-12T18:23:49.000Z

2022-03-22T21:38:58.000Z

astroquery/casda/tests/setup_package.py

rickynilsson/astroquery

b7edec0d8e36b11c25baa39ad72e4160bc30d465

[ "BSD-3-Clause" ]

1,812

2015-01-01T08:02:20.000Z

2022-03-31T13:03:52.000Z

astroquery/casda/tests/setup_package.py

rickynilsson/astroquery

b7edec0d8e36b11c25baa39ad72e4160bc30d465

[ "BSD-3-Clause" ]

322

2015-02-23T19:31:29.000Z

2022-03-25T18:51:30.000Z

import os def get_package_data(): paths_test = [os.path.join('data', '*.xml')] return {'astroquery.casda.tests': paths_test}

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136

4.526316

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0.209302

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0.161765

136

7

50

19.428571

0.754386

0

0.227941

0.161765

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0

1

0

null

0

1

0

1

0

5

c1d5c7648b7e134f6e349aed4454b29d6a695e90

153

py

Python

src/main/__init__.py

kyehyukahn/scp-prototype

4e92b47ab82068a154c407c22e8c396196a31942

[ "Apache-2.0" ]

null

src/main/__init__.py

kyehyukahn/scp-prototype

4e92b47ab82068a154c407c22e8c396196a31942

[ "Apache-2.0" ]

null

src/main/__init__.py

kyehyukahn/scp-prototype

4e92b47ab82068a154c407c22e8c396196a31942

[ "Apache-2.0" ]

null

from .application import ( # noqa Application, ) from .base import ( # noqa BaseApplication, ) from .event import ( # noqa EventManager, )

15.3

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0.653595

15

153

6.666667

0.533333

0.3

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153

9

35

17

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0

1

0

true

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1

0

1

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null

0

1

0

1

0

5

de0ac14d3fd2097fd5f18b0ae40e9bc286167997

96

py

Python

caquita_backend/score/admin.py

EmmanuelPerezP/Caquita

708c1582459e9157bb7dc31170b8a0f11b2d03d0

[ "MIT" ]

null

caquita_backend/score/admin.py

EmmanuelPerezP/Caquita

708c1582459e9157bb7dc31170b8a0f11b2d03d0

[ "MIT" ]

null

caquita_backend/score/admin.py

EmmanuelPerezP/Caquita

708c1582459e9157bb7dc31170b8a0f11b2d03d0

[ "MIT" ]

null

from django.contrib import admin from .models import HighScore admin.site.register(HighScore)

16

32

0.822917

13

96

6.076923

0.692308

0

0.114583

96

5

33

19.2

0.929412

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a9ab1fc4e75c67f70c718a89349c465f3a92f0a5

98

py

Python

app/api_1_0/__init__.py

amsayeed/Flask-Data-visualization

96b5b0b3cd2a17c8faeae8771e1756987a794798

[ "MIT" ]

10

2020-02-29T17:39:47.000Z

2021-01-01T22:38:32.000Z

app/api_1_0/__init__.py

amsayeed/Flask-Data-visualization

96b5b0b3cd2a17c8faeae8771e1756987a794798

[ "MIT" ]

null

app/api_1_0/__init__.py

amsayeed/Flask-Data-visualization

96b5b0b3cd2a17c8faeae8771e1756987a794798

[ "MIT" ]

6

2020-02-29T16:40:59.000Z

2021-03-16T19:25:06.000Z

from flask import Blueprint bp = Blueprint('data_api', __name__) from app.api_1_0 import routes

16.333333

36

0.785714

16

98

4.375

0.75

0

0.02381

0.142857

98

5

37

19.6

0.809524

0

0.081633

0

1

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false

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1

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null

0

1

0

1

0

5

a9bbf4a575d64951be04f6e7df7fbb9a9e34c3ad

52

py

Python

pm4pyws/handlers/parquet/ctmc/__init__.py

ehbasouri/pm4py-ws

9bf5f88848a4aa2873bae86af95d37f64ae1dde1

[ "Apache-2.0" ]

null

pm4pyws/handlers/parquet/ctmc/__init__.py

ehbasouri/pm4py-ws

9bf5f88848a4aa2873bae86af95d37f64ae1dde1

[ "Apache-2.0" ]

null

pm4pyws/handlers/parquet/ctmc/__init__.py

ehbasouri/pm4py-ws

9bf5f88848a4aa2873bae86af95d37f64ae1dde1

[ "Apache-2.0" ]

null

from pm4pyws.handlers.parquet.ctmc import transient

26

51

0.865385

7

52

6.428571

1

0

0.020833

0.076923

52

1

52

0.916667

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

5

a9e4eb913002c25b43d0bebe6d453788c9d7f01b

888

py

Python

thash/WSN_antiguo/app/models.py

Limiloiko/WSN_WebServer

78d804d19f9db8dcb451dfb6bca4f2911ddd69c6

[ "MIT" ]

null

thash/WSN_antiguo/app/models.py

Limiloiko/WSN_WebServer

78d804d19f9db8dcb451dfb6bca4f2911ddd69c6

[ "MIT" ]

null

thash/WSN_antiguo/app/models.py

Limiloiko/WSN_WebServer

78d804d19f9db8dcb451dfb6bca4f2911ddd69c6

[ "MIT" ]

1

2019-06-15T07:49:33.000Z

"""models.py Este modulo almaena las tablas de la base de datos del servidor web! """ from app import db from werkzeug.security import check_password_hash, generate_password_hash from app import login from flask_login import UserMixin class User(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(64), index=True, unique=True) email = db.Column(db.String(120), index=True, unique=True) password_hash = db.Column(db.String(128)) def __repr__(self): return '<User {}>'.format(self.username) def set_password(self, password): self.password_hash = generate_password_hash(password) def check_password(self, password): return check_password_hash(self.password_hash, password) @login.user_loader def load_user(id): return User.query.get(int(id))

26.909091

73

0.699324

124

888

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0.08

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0.011236

0.198198

888

33

74

26.909091

0.831461

0.087838

0

1

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1

0.222222

false

0.333333

0.222222

0.166667

0.888889

0

null

0

1

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null

0

1

0

1

0

1

0

5

a9f627de83e66de3421bf1148346155e4f779f57

91

py

Python

Python/desafios/d21.py

prazerfelipe/Python

b1f4c768b1823d34898935bbd037ae43711c79e1

[ "MIT" ]

null

Python/desafios/d21.py

prazerfelipe/Python

b1f4c768b1823d34898935bbd037ae43711c79e1

[ "MIT" ]

null

Python/desafios/d21.py

prazerfelipe/Python

b1f4c768b1823d34898935bbd037ae43711c79e1

[ "MIT" ]

null

import pygame pygame.init() pygame.mixer.music.load('d21.mp3') pygame.mixer.music.play()

13

34

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14

91

4.857143

0.642857

0.323529

0.470588

0

0.035714

0.076923

91

6

35

15.166667

0.77381

0

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1

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true

0

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null

1

0

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null

0

1

0

5

e70f74ed92b2eca6fc94971a15dfa7acb5d1e7ca

124

py

Python

src/parsimony/generators/__init__.py

ryanfeather/parsimony

0d3bbe247b47234a0c15962e538b2f04609c4a33

[ "MIT" ]

1

2018-07-02T11:08:29.000Z

src/parsimony/generators/__init__.py

ryanfeather/parsimony

0d3bbe247b47234a0c15962e538b2f04609c4a33

[ "MIT" ]

5

2015-03-19T13:29:29.000Z

2015-04-04T19:47:01.000Z

src/parsimony/generators/__init__.py

ryanfeather/parsimony

0d3bbe247b47234a0c15962e538b2f04609c4a33

[ "MIT" ]

null

from .generator import Generator from .file import TextFile, PathMonitor from .callable_wrapper import StoredCallableWrapper

41.333333

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0.870968

14

124

7.642857

0.642857

0

0.096774

124

3

51

41.333333

0.955357

0

1

0

true

0

1

0

1

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

e713bbf9d5c72f377bb527a6d649363f0c91d4cd

304

py

Python

src/python/WMComponent/PhEDExInjector/Database/Oracle/GetMigratedBlocks.py

cbbrainerd/WMCore

317969fdcfbfbb957e74aa1b45f92408d05a09a8

[ "Apache-2.0" ]

null

src/python/WMComponent/PhEDExInjector/Database/Oracle/GetMigratedBlocks.py

cbbrainerd/WMCore

317969fdcfbfbb957e74aa1b45f92408d05a09a8

[ "Apache-2.0" ]

1

2016-10-13T14:57:35.000Z

src/python/WMComponent/PhEDExInjector/Database/Oracle/GetMigratedBlocks.py

juztas/WMCore

f7e830a573d50fb1d7240797f18d809f994b934d

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ _GetMigratedBlocks_ Oracle implementation on PhEDExInjector.GetMigratedBlocks. """ from WMComponent.PhEDExInjector.Database.MySQL.GetMigratedBlocks import GetMigratedBlocks as MySQLBase class GetMigratedBlocks(MySQLBase): """ _GetMigratedBlocks_ """ pass

16

102

0.769737

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304

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0.72

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304

18

103

16.888889

0.884615

0.394737

0

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true

0.333333

0

0.666667

0

1

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null

0

null

0

1

0

1

0

5

e7302b3c11edbb438db4447042d5143b7cd6b0c1

63

py

Python

exercises/02_argparse/sys_argv.py

AnnieBrunton/biosystems-analytics-2020

219e961b07e62dae6c27675e1de94cb56c9adb8e

[ "MIT" ]

14

2019-07-14T08:29:04.000Z

2022-03-07T06:33:26.000Z

exercises/02_argparse/sys_argv.py

AnnieBrunton/biosystems-analytics-2020

219e961b07e62dae6c27675e1de94cb56c9adb8e

[ "MIT" ]

1

2020-02-11T20:15:59.000Z

exercises/02_argparse/sys_argv.py

AnnieBrunton/biosystems-analytics-2020

219e961b07e62dae6c27675e1de94cb56c9adb8e

[ "MIT" ]

24

2020-01-15T17:34:40.000Z

2021-08-23T05:57:24.000Z

#!/usr/bin/env python3 import sys print('\n'.join(sys.argv))

10.5

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0.666667

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0

0.017857

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63

5

27

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0.732143

0.333333

0

0.04878

0

1

0

true

0

0.5

0

0.5

1

0

null

0

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0

null

0

1

0

1

0

1

0

5

e7388719889174f2c633b00c9767409c8ddbd4f4

3,788

py

Python

tf1/tensorflow_collocation/Elastodynamics/utils/gridPlot.py

ISM-Weimar/DeepEnergyMethods

3a51131e0827446bf5986d698aaac396c7fa5037

[ "MIT" ]

15

2019-09-11T01:35:03.000Z

2022-03-25T03:17:59.000Z

tf1/tensorflow_collocation/Elastodynamics/utils/gridPlot.py

yizheng-wang/DeepEnergyMethods

da77802b6b230e6962bf2c0a7918340989640d77

[ "MIT" ]

2

2020-10-16T19:06:07.000Z

2022-01-06T16:23:49.000Z

tf1/tensorflow_collocation/Elastodynamics/utils/gridPlot.py

yizheng-wang/DeepEnergyMethods

da77802b6b230e6962bf2c0a7918340989640d77

[ "MIT" ]

15

2019-09-11T01:35:05.000Z

2022-02-18T21:18:55.000Z

import os import matplotlib.pyplot as plt import numpy as np def createFolder(folder_name): try: if not os.path.exists(folder_name): os.makedirs(folder_name) except OSError: print ('Error: Creating folder. ' + folder_name) def plot1d(u_pred_err,X_star,u_pred,u_exact,v_pred,v_exact,v_pred_err,figHeight,figWidth): filename = 'disp_err' plt.figure(figsize=(figWidth, figHeight)) plt.plot(X_star, 100*u_pred_err, c='b', linewidth=2.0) #plt.title('$\phi_{comp}$ and $\phi_{exact}$') plt.xticks(fontsize=12) plt.yticks(fontsize=12) plt.xlabel('x',fontweight='bold',fontsize=14) plt.ylabel('Relative $\%$ error in displacement',fontweight='bold',fontsize=14) plt.tight_layout() plt.savefig(filename +".pdf", dpi=700, facecolor='w', edgecolor='w', transparent = 'true', bbox_inches = 'tight') plt.show() plt.close() filename = 'disp' plt.figure(figsize=(figWidth, figHeight)) ax0, = plt.plot(X_star,u_pred, label='$u_{comp}$', c='b', linewidth=2.0) ax1, = plt.plot(X_star,u_exact, label='$u_{exact}$', c='r',linewidth=2.0) plt.legend(handles=[ax0,ax1],fontsize=14) #plt.title('$\phi_{comp}$ and $\phi_{exact}$') plt.xticks(fontsize=12) plt.yticks(fontsize=12) plt.xlabel('x',fontweight='bold',fontsize=14) plt.ylabel('Displacement',fontweight='bold',fontsize=14) plt.tight_layout() plt.savefig(filename +".pdf", dpi=700, facecolor='w', edgecolor='w', transparent = 'true', bbox_inches = 'tight') plt.show() plt.close() filename = 'velocity' plt.figure(figsize=(figWidth, figHeight)) ax0, = plt.plot(X_star,v_pred, label='$v_{comp}$', c='b', linewidth=2.0) ax1, = plt.plot(X_star,v_exact, label='$v_{exact}$', c='r',linewidth=2.0) plt.legend(handles=[ax0,ax1],fontsize=14) #plt.title('$\phi_{comp}$ and $\phi_{exact}$') plt.xticks(fontsize=12) plt.yticks(fontsize=12) plt.xlabel('x',fontweight='bold',fontsize=14) plt.ylabel('Velocity',fontweight='bold',fontsize=14) plt.tight_layout() plt.savefig(filename +".pdf", dpi=700, facecolor='w', edgecolor='w', transparent = 'true', bbox_inches = 'tight') plt.show() plt.close() filename = 'vel_err' plt.figure(figsize=(figWidth, figHeight)) plt.plot(X_star, 100*v_pred_err, c='b', linewidth=2.0) #plt.title('$\phi_{comp}$ and $\phi_{exact}$') plt.xticks(fontsize=12) plt.yticks(fontsize=12) plt.xlabel('x',fontweight='bold',fontsize=14) plt.ylabel('Relative $\%$ error in velocity',fontweight='bold',fontsize=14) plt.tight_layout() plt.savefig(filename +".pdf", dpi=700, facecolor='w', edgecolor='w', transparent = 'true', bbox_inches = 'tight') plt.show() plt.close() def plotConvergence(iter,adam_buff,lbfgs_buff,figHeight,figWidth): filename = "convergence" plt.figure(figsize=(figWidth, figHeight)) range_adam = np.arange(1,iter+1) range_lbfgs = np.arange(iter+2, iter+2+len(lbfgs_buff)) ax0, = plt.semilogy(range_adam, adam_buff, c='b', label='Adam',linewidth=2.0) ax1, = plt.semilogy(range_lbfgs, lbfgs_buff, c='r', label='L-BFGS',linewidth=2.0) plt.legend(handles=[ax0,ax1],fontsize=14) plt.xticks(fontsize=12) plt.yticks(fontsize=12) plt.xlabel('Iteration',fontweight='bold',fontsize=14) plt.ylabel('Loss value',fontweight='bold',fontsize=14) plt.tight_layout() plt.savefig(filename +".pdf", dpi=700, facecolor='w', edgecolor='w', transparent = 'true', bbox_inches = 'tight') plt.show() plt.close()

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null

0

1

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null

0

5

e7683145b651d7a28a62f3f427bc50b81ae00052

110

py

Python

ActivitySync/geo/admin.py

FreexD/ActivitySyncDjango

93cebb65ef5c68dd1082fd7fe1d121a11eeafae8

[ "Beerware" ]

null

ActivitySync/geo/admin.py

FreexD/ActivitySyncDjango

93cebb65ef5c68dd1082fd7fe1d121a11eeafae8

[ "Beerware" ]

null

ActivitySync/geo/admin.py

FreexD/ActivitySyncDjango

93cebb65ef5c68dd1082fd7fe1d121a11eeafae8

[ "Beerware" ]

null

from django.contrib import admin from ActivitySync.geo.models import Location admin.site.register(Location)

18.333333

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0.836364

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null

0

1

0

1

0

1

0

5

e7db83d7d78c6a0bfe4c614e333d3e78b36aa04d

1,989

py

Python

song/examples/allessoeinfach.py

Rocka84/Hackulele

a93d4a7a5501bd2976701f62a613b04230edcc28

[ "Apache-2.0" ]

null

song/examples/allessoeinfach.py

Rocka84/Hackulele

a93d4a7a5501bd2976701f62a613b04230edcc28

[ "Apache-2.0" ]

null

song/examples/allessoeinfach.py

Rocka84/Hackulele

a93d4a7a5501bd2976701f62a613b04230edcc28

[ "Apache-2.0" ]

null

from song import Song class AllesSoEinfach(Song): def __init__(self, chord_repo): super(AllesSoEinfach, self).__init__(chord_repo) self.name = "Alles so einfach" self.bpm = 140 self.elements = [ # Intro self._createElement("C", 4), self._createElement("Am", 4), self._createElement("Dm", 4), self._createElement("G", 4), self._createElement("C", 4), self._createElement("Am", 4), self._createElement("Dm", 4), self._createElement("G", 4), # Strophe self._createElement("Am", 4), self._createElement("Em", 4), self._createElement("F", 4), self._createElement("G", 4), self._createElement("Am", 4), self._createElement("Em", 4), self._createElement("F", 4), self._createElement("G", 4), self._createElement("F", 4), self._createElement("G", 4), self._createElement("C", 4), self._createElement("E", 4), self._createElement("F", 8), self._createElement("G", 4), self._createElement("G", 1), # refrain self._createElement("0", 3), self._createElement("C", 4), self._createElement("Em", 4), self._createElement("B", 4), self._createElement("F", 4), self._createElement("C", 4), self._createElement("Em", 4), self._createElement("B", 4), self._createElement("F", 4), self._createElement("C", 8), self._createElement("Am", 8), self._createElement("F", 8), self._createElement("G", 8), ] self.reset()

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null

0

5

41396461fb811a1d57834c999743436de44cc8c0

60

py

Python

ufork/__init__.py

kurtbrose/ufork

4674abc5a27a2e3076e28756685512359e8e809f

[ "BSD-3-Clause" ]

5

2016-09-13T05:12:42.000Z

2021-08-31T11:15:59.000Z

ufork/__init__.py

skhortiuk/ufork

aa96ae8e903c0e95b0b307e8c738e8455ab477f4

[ "MIT" ]

7

2016-10-13T01:08:01.000Z

2021-06-24T19:09:29.000Z

ufork/__init__.py

skhortiuk/ufork

aa96ae8e903c0e95b0b307e8c738e8455ab477f4

[ "MIT" ]

4

2017-04-11T20:29:41.000Z

2020-10-12T15:22:33.000Z

from __future__ import absolute_import from .ufork import *

20

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null

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1

0

1

0

1

0

5

413f106d776ed32cf9cf7183f40cbb341e0b8651

67

py

Python

systemofrecord/services/configure_logging.py

LandRegistry/system-of-record-alpha

135172e4c69bb82301b5b66039142d6fa0c56d70

[ "MIT" ]

null

systemofrecord/services/configure_logging.py

LandRegistry/system-of-record-alpha

135172e4c69bb82301b5b66039142d6fa0c56d70

[ "MIT" ]

null

systemofrecord/services/configure_logging.py

LandRegistry/system-of-record-alpha

135172e4c69bb82301b5b66039142d6fa0c56d70

[ "MIT" ]

1

2021-04-11T06:07:06.000Z

from flask import logging from systemofrecord.server import app

11.166667

37

0.820896

9

67

6.111111

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0

0.164179

67

5

38

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null

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1

0

1

0

1

0

5

4153c2e2eb90eb8b463cca88d69263d03ac26715

5,073

py

Python

data_loader/data_loaders.py

lehduong/Knowledge-Distilation-CNN

dfb7b881de9740260a59e83a7a4f5dbba8787c23

[ "MIT" ]

9

2020-01-21T04:27:18.000Z

2020-04-12T03:35:54.000Z

data_loader/data_loaders.py

lehduong/Knowledge-Distilation-CNN

dfb7b881de9740260a59e83a7a4f5dbba8787c23

[ "MIT" ]

2

2020-03-05T10:42:10.000Z

2020-03-06T12:41:27.000Z

data_loader/data_loaders.py

lehduong/Knowledge-Distilation-CNN

dfb7b881de9740260a59e83a7a4f5dbba8787c23

[ "MIT" ]

2

2020-05-20T07:42:03.000Z

2021-10-08T02:48:08.000Z

from torchvision import datasets from torchvision import transforms as tfs from base import BaseDataLoader from .cityscapes import Cityscapes, CityScapesUniform from torch.utils.data import ConcatDataset class Cifar100Dataloader(BaseDataLoader): """ CIFAR100 data loading using BaseDataloder """ def __init__(self, data_dir, batch_size, shuffle=True, validation_split=0.0, num_workers=1, training=True): if training: trsfm = tfs.Compose([ tfs.RandomCrop(32, padding=4), tfs.RandomHorizontalFlip(), tfs.ToTensor(), tfs.Normalize((0.4914, 0.4822, 0.4465),(0.2023, 0.1994, 0.2010)) ]) else: trsfm = tfs.Compose([ tfs.ToTensor(), tfs.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)) ]) self.data_dir = data_dir self.dataset = datasets.CIFAR100(self.data_dir, train=training, download=True, transform=trsfm) super().__init__(self.dataset, batch_size, shuffle, validation_split, num_workers) class Cifar10Dataloader(BaseDataLoader): """ CIFAR10 data loading using BaseDataloder """ def __init__(self, data_dir, batch_size, shuffle=True, validation_split=0.0, num_workers=1, training=True): if training: trsfm = tfs.Compose([ tfs.RandomCrop(32, padding=4), tfs.RandomHorizontalFlip(), tfs.ToTensor(), tfs.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) else: trsfm = tfs.Compose([ tfs.ToTensor(), tfs.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) self.data_dir = data_dir self.dataset = datasets.CIFAR10(self.data_dir, train=training, download=True, transform=trsfm) super().__init__(self.dataset, batch_size, shuffle, validation_split, num_workers) class CityscapesDataloader(BaseDataLoader): """ CityScape data loading using BaseDataLoader """ def __init__(self, data_dir, batch_size, shuffle=True, validation_split=0.0, num_workers=0, split='train', transform=None, target_transform=None, transforms=None, mode='fine', target_type='semantic', num_samples=None, return_image_name=False): self.data_dir = data_dir if split == 'train_val': train_dataset = self.dataset = Cityscapes(root=self.data_dir, transform=transform, transforms=transforms, target_transform=target_transform, split='train', mode=mode, target_type=target_type, num_samples=num_samples, return_image_name=return_image_name) val_dataset = self.dataset = Cityscapes(root=self.data_dir, transform=transform, transforms=transforms, target_transform=target_transform, split='val', mode=mode, target_type=target_type, num_samples=num_samples, return_image_name=return_image_name) self.dataset = ConcatDataset([train_dataset, val_dataset]) else: self.dataset = Cityscapes(root=self.data_dir, transform=transform, transforms=transforms, target_transform=target_transform, split=split, mode=mode, target_type=target_type, num_samples=num_samples, return_image_name=return_image_name) super().__init__(self.dataset, batch_size, shuffle, validation_split, num_workers) class CityscapesUniformDataloader(BaseDataLoader): def __init__(self, data_dir, batch_size, shuffle=True, validation_split=0.0, num_workers=0, split='train', transform=None, target_transform=None, transforms=None, mode='fine', target_type='semantic', class_uniform_pct=0.5, class_uniform_tile = 1024, num_samples=None, return_image_name=False): self.data_dir = data_dir if split == 'train_val': raise ValueError("Only support train split for Uniform Cityscapes") else: self.dataset = CityScapesUniform(root=self.data_dir, quality=mode, mode=split, joint_transform_list=transforms, transform=transform, target_transform=target_transform, class_uniform_pct=class_uniform_pct, class_uniform_tile=class_uniform_tile, num_samples=num_samples, return_image_name=return_image_name) super().__init__(self.dataset, batch_size, shuffle, validation_split, num_workers)

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null

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1

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null

0

5

41a2acceaeb69f3040d342aa6c309603d5516d75

309

py

Python

S4/S4 Library/simulation/routing/path_planner/path_plan_enums.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

1

2021-05-20T19:33:37.000Z

S4/S4 Library/simulation/routing/path_planner/path_plan_enums.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

S4/S4 Library/simulation/routing/path_planner/path_plan_enums.py

NeonOcean/Environment

ca658cf66e8fd6866c22a4a0136d415705b36d26

[ "CC-BY-4.0" ]

null

import enum import routing class FootprintKeyMaskBits(enum.IntFlags): SMALL_HEIGHT = routing.FOOTPRINT_KEY_REQUIRE_SMALL_HEIGHT TINY_HEIGHT = routing.FOOTPRINT_KEY_REQUIRE_TINY_HEIGHT FLOATING = routing.FOOTPRINT_KEY_REQUIRE_FLOATING LARGE_HEIGHT = routing.FOOTPRINT_KEY_REQUIRE_LARGE_HEIGHT

34.333333

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0.42623

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309

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null

1

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1

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null

0

1

0

5

41a5db2f44a4e055874cf0b976c87b502c95f5ae

45

py

Python

dj_gui_api_server/__init__.py

ChihweiLHBird/pharus

44de192c3de73a2e32bec9239adae1cde7ed9439

[ "MIT" ]

null

dj_gui_api_server/__init__.py

ChihweiLHBird/pharus

44de192c3de73a2e32bec9239adae1cde7ed9439

[ "MIT" ]

null

dj_gui_api_server/__init__.py

ChihweiLHBird/pharus

44de192c3de73a2e32bec9239adae1cde7ed9439

[ "MIT" ]

null

from .version import __version__ __version__

15

32

0.866667

5

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0.6

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33

22.5

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true

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1

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null

0

1

0

1

0

5

41ba4734d14f87d1bcbfea8dadb02ecd7cd1ad93

1,495

py

Python

tests/pyutils/suggestion_list_test.py

ATyped/atgql

3fa9e09c9cea346dc42c205452487420ceb493e2

[ "MIT" ]

null

tests/pyutils/suggestion_list_test.py

ATyped/atgql

3fa9e09c9cea346dc42c205452487420ceb493e2

[ "MIT" ]

null

tests/pyutils/suggestion_list_test.py

ATyped/atgql

3fa9e09c9cea346dc42c205452487420ceb493e2

[ "MIT" ]

null

from atgql.pyutils.suggestion_list import suggestion_list def test_returns_when_input_is_empty(): assert suggestion_list('', ['a']) == ['a'] def test_returns_empty_array_when_there_are_no_options(): assert suggestion_list('input', []) == [] def test_returns_options_with_small_lexical_distance(): assert suggestion_list('greenish', ['green']) == ['green'] assert suggestion_list('green', ['greenish']) == ['greenish'] def test_rejects_options_with_small_lexical_distance(): assert suggestion_list('aaaa', ['aaab']) == ['aaab'] assert suggestion_list('aaaa', ['aabb']) == ['aabb'] assert suggestion_list('aaaa', ['abbb']) == [] assert suggestion_list('ab', ['ca']) == [] def test_returns_options_with_different_case(): assert suggestion_list('verylongstring', ['VERYLONGSTRING']) == ['VERYLONGSTRING'] assert suggestion_list('VERYLONGSTRING', ['verylongstring']) == ['verylongstring'] assert suggestion_list('VERYLONGSTRING', ['VeryLongString']) == ['VeryLongString'] def test_returns_options_with_transpositions(): assert suggestion_list('agr', ['arg']) == ['arg'] assert suggestion_list('214365879', ['123456789']) == ['123456789'] def test_returns_options_sorted_based_on_lexical_distance(): assert suggestion_list('abc', ['a', 'ab', 'abc']) == ['abc', 'ab', 'a'] def test_returns_options_with_same_lexical_distance_sorted_lexicographically(): assert suggestion_list('a', ['az', 'ax', 'ay']) == ['ax', 'ay', 'az']

33.977273

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0.189796

0

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1,495

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87

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0

null

1

0

null

0

1

0

1

0

5

41c014f1ca665aede207e05e417dbfdecd40bad8

201

py

Python

plotly/validators/surface/lighting/__init__.py

gnestor/plotly.py

a8ae062795ddbf9867b8578fe6d9e244948c15ff

[ "MIT" ]

12

2020-04-18T18:10:22.000Z

2021-12-06T10:11:15.000Z

plotly/validators/surface/lighting/__init__.py

Vesauza/plotly.py

e53e626d59495d440341751f60aeff73ff365c28

[ "MIT" ]

27

2020-04-28T21:23:12.000Z

2021-06-25T15:36:38.000Z

plotly/validators/surface/lighting/__init__.py

Vesauza/plotly.py

e53e626d59495d440341751f60aeff73ff365c28

[ "MIT" ]

6

2020-04-18T23:07:08.000Z

2021-11-18T07:53:06.000Z

from ._specular import SpecularValidator from ._roughness import RoughnessValidator from ._fresnel import FresnelValidator from ._diffuse import DiffuseValidator from ._ambient import AmbientValidator

33.5

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1

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0

5

68c60ece6fb0177a2c47cda7e553a270d640cb5b

2,688

py

Python

signbank/dictionary/migrations/0009_auto_20151106_1019.py

GDiaz16/signbank

fe492965a6e1294eb036c3a2adc54d1c8ba19f0f

[ "BSD-3-Clause" ]

null

signbank/dictionary/migrations/0009_auto_20151106_1019.py

GDiaz16/signbank

fe492965a6e1294eb036c3a2adc54d1c8ba19f0f

[ "BSD-3-Clause" ]

3

2020-04-30T14:18:57.000Z

2021-06-10T22:30:30.000Z

signbank/dictionary/migrations/0009_auto_20151106_1019.py

GDiaz16/signbank

fe492965a6e1294eb036c3a2adc54d1c8ba19f0f

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('dictionary', '0008_auto_20151030_1125'), ] operations = [ migrations.AlterField( model_name='gloss', name='annotation_comments', field=models.CharField(max_length=200, verbose_name='Comments', blank=True), ), migrations.AlterField( model_name='gloss', name='annotation_idgloss_hki', field=models.CharField(help_text="\n This is the Helsinki name of a sign used by annotators when glossing the corpus in\nan ELAN annotation file. The Helsinki Annotation Idgloss may be the same for two or\nmore entries (each with their own 'Sign Entry Name'). If two sign entries\nhave the same 'Annotation Idgloss' that means they differ in form in only\nminor or insignificant ways that can be ignored.", max_length=60, verbose_name='Gloss HKI', blank=True), ), migrations.AlterField( model_name='gloss', name='annotation_idgloss_hki_en', field=models.CharField(help_text='\n This is the English name for the corresponding Jyvaskyla Gloss', max_length=60, verbose_name='Gloss HKI (Eng)', blank=True), ), migrations.AlterField( model_name='gloss', name='annotation_idgloss_jkl', field=models.CharField(help_text="\n This is the Jyvaskyla name of a sign used by annotators when glossing the corpus in\nan ELAN annotation file. The Jyvaskyla Annotation Idgloss may be the same for two or\nmore entries (each with their own 'Sign Entry Name'). If two sign entries\nhave the same 'Annotation Idgloss' that means they differ in form in only\nminor or insignificant ways that can be ignored.", max_length=60, verbose_name='Gloss JKL', blank=True), ), migrations.AlterField( model_name='gloss', name='annotation_idgloss_jkl_en', field=models.CharField(help_text='\n This is the English name for the corresponding Jyvaskyla Gloss', max_length=60, verbose_name='Gloss JKL (Eng)', blank=True), ), migrations.AlterField( model_name='gloss', name='idgloss', field=models.CharField(help_text='\n This is the unique identifying name of an entry of a sign form in the\ndatabase. No two Sign Entry Names can be exactly the same, but a "Sign\nEntry Name" can be (and often is) the same as the Annotation Idgloss.', max_length=60, verbose_name='Gloss'), ), ]

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0.667039

355

2,688

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0.287324

0.056539

0.085665

0.099372

0.762993

0.747573

0.713307

0.617933

0

0.014793

0.245536

2,688

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479

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0.131579

0

null

0

1

0

null

0

5

68ec7bc393eb53584936408de5a325649b1537c5

223

py

Python

processors/__init__.py

schlers/electra_pytorch

94cf3fec8158c93162e2f253ce5c746bdf1a6399

[ "MIT" ]

94

2020-03-13T01:41:13.000Z

2022-02-17T22:55:29.000Z

processors/__init__.py

schlers/electra_pytorch

94cf3fec8158c93162e2f253ce5c746bdf1a6399

[ "MIT" ]

13

2020-03-17T11:09:16.000Z

2022-03-31T03:41:11.000Z

processors/__init__.py

schlers/electra_pytorch

94cf3fec8158c93162e2f253ce5c746bdf1a6399

[ "MIT" ]

11

2020-03-17T04:15:15.000Z

2021-08-02T09:59:42.000Z

from .utils import InputExample, InputFeatures, DataProcessor from .task_processor import (task_output_modes, task_processors, task_tasks_num_labels, convert_examples_to_features, collate_fn)

37.166667

87

0.753363

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223

6.28

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0.201794

223

5

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null

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1

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1

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5

ec0222055bf43c4f16b6bbfedd8136553837ac82

29

py

Python

electricityLoadForecasting/tools/exceptions/__init__.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

electricityLoadForecasting/tools/exceptions/__init__.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

electricityLoadForecasting/tools/exceptions/__init__.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

from .exceptions import *

5.8

25

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6.666667

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null

0

1

0

1

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5

ec3a6ae09b4cbce299c89276b12bc6c8bf7c82ce

15

py

Python

main.py

PressStart10/cs-compiler

d0272d157b2bd99a5428d1718d07245af1105595

[ "MIT" ]

null

main.py

PressStart10/cs-compiler

d0272d157b2bd99a5428d1718d07245af1105595

[ "MIT" ]

1

2020-11-22T12:24:23.000Z

2020-11-22T17:22:26.000Z

main.py

PressStart10/cs-compiler

d0272d157b2bd99a5428d1718d07245af1105595

[ "MIT" ]

null

print("ok,ok")

7.5

14

0.6

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15

3

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15

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null

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null

0

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1

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5

ec3cf7ec4de827cf7dc06def28cb99d377968c8d

64

py

Python

old/testkivy/cheesepoofs/kerplunk/script.py

joshem/Autopen2

4dd6bedac5f8f5c5e9bf2457d82c2f6e41f1d045

[ "MIT" ]

4

2017-09-06T15:01:03.000Z

2018-02-01T19:00:24.000Z

old/testkivy/cheesepoofs/kerplunk/script.py

joshem/Autopen2

4dd6bedac5f8f5c5e9bf2457d82c2f6e41f1d045

[ "MIT" ]

null

old/testkivy/cheesepoofs/kerplunk/script.py

joshem/Autopen2

4dd6bedac5f8f5c5e9bf2457d82c2f6e41f1d045

[ "MIT" ]

2

2017-11-03T15:14:23.000Z

2018-02-07T02:50:20.000Z

def install_script(): print ("JESUS BEJESUS ITS INSTALLING")

32

42

0.734375

8

64

5.75

1

0

0.15625

64

2

42

32

0.851852

0

0.430769

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

6be7b43b3314ef0e21d35af48a9a74cc7f53cb3a

13,204

py

Python

tests/unittests/test_solace_queue.py

ExalDraen/python-libsolace

76abd2ac8b9f2c579fa9c23ae0c988ce001fabaf

[ "MIT" ]

null

tests/unittests/test_solace_queue.py

ExalDraen/python-libsolace

76abd2ac8b9f2c579fa9c23ae0c988ce001fabaf

[ "MIT" ]

null

tests/unittests/test_solace_queue.py

ExalDraen/python-libsolace

76abd2ac8b9f2c579fa9c23ae0c988ce001fabaf

[ "MIT" ]

2

2019-09-06T23:47:35.000Z

2020-09-14T10:06:07.000Z

import logging from libsolace.plugin import PluginResponse __author__ = 'keghol' import unittest2 as unittest from libsolace.SolaceAPI import SolaceAPI from test_util import get_plugin_from_api __plugin_name__ = "SolaceQueue" class TestSolaceQueue(unittest.TestCase): def setUp(self): self.api = SolaceAPI("dev") self.plugin = get_plugin_from_api(self.api, __plugin_name__) self.queue_config = { "retries": 0, "consume": "all", "exclusive": "true", "max_bind_count": 10, "queue_size": 1024, "owner": "default" } def test_zzz_batch_mode(self): self.plugin = get_plugin_from_api(self.api, __plugin_name__, queues=[{"name": "solacetest.prov.queue", "queue_config": self.queue_config}], vpn_name="default") self.assertTrue(isinstance(self.plugin.commands.commands, list)) print(self.plugin.commands.commands[0]) self.assertEqual(self.plugin.commands.commands[0], ('<rpc semp-version="soltr/7_1_1"><message-spool><vpn-name>default</vpn-name><create><queue><name>solacetest.prov.queue</name></queue></create></message-spool></rpc>', {'queues': [{'name': 'solacetest.prov.queue', 'queue_config': {'retries': 0, 'consume': 'all', 'exclusive': 'true', 'max_bind_count': 10, 'queue_size': 1024, 'owner': 'default'}}], 'queue_name': 'solacetest.prov.queue', 'primaryOnly': True, 'vpn_name': 'default'})) def test_get_queue(self): xml = self.plugin.get(queue_name="please.dont.exist", vpn_name="default") self.assertIsInstance(xml, list) self.assertEqual(str(xml[0]), "{'HOST': 'http://solace1.swe1.unibet.com/SEMP', u'rpc-reply': {u'rpc': {u'show': {u'queue': {u'queues': None}}}, u'execute-result': {u'@code': u'ok'}, u'@semp-version': u'%s'}}" % self.api.version) # testing overlaying config empty = class defaults def test_get_queue_config_defaults(self): config = self.plugin.get_queue_config({"name": "testqueue1", "env": [ {"name": "dev", "queue_config": {}} ] } ) self.assertEqual(config, self.plugin.defaults) # test setting config to specific values def test_get_queue_config(self): config = self.plugin.get_queue_config({"name": "testqueue1", "env": [ {"name": "dev", "queue_config": { "retries": 1, "exclusive": "false", "max_bind_count": 10, "owner": "somebody", "queue_size": 1, "consume": "not_all" }} ] } ) self.assertEqual(config, {"retries": 1, "exclusive": "false", "max_bind_count": 10, "owner": "somebody", "queue_size": 1, "consume": "not_all" }) def test_create_queue(self): xml = get_plugin_from_api(self.api, __plugin_name__).create_queue(queue_name="some_new_queue", vpn_name="default", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><create><queue><name>some_new_queue</name></queue></create></message-spool></rpc>' % self.api.version) def test_shutdown_egress(self): xml = get_plugin_from_api(self.api, __plugin_name__).shutdown_egress(queue_name="somequeue_name", vpn_name="default", shutdown_on_apply=True, force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><shutdown><egress/></shutdown></queue></message-spool></rpc>' % self.api.version) def test_shutdown_egress_without_shutdown(self): xml = get_plugin_from_api(self.api, __plugin_name__).shutdown_egress(queue_name="somequeue_name", vpn_name="default") self.assertIs(xml, None) def test_shutdown_ingress(self): xml = get_plugin_from_api(self.api, __plugin_name__).shutdown_ingress(queue_name="somequeue_name", vpn_name="default", shutdown_on_apply=True, force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><shutdown><ingress/></shutdown></queue></message-spool></rpc>' % self.api.version) def test_shutdown_ingress_without_shutdown(self): xml = get_plugin_from_api(self.api, __plugin_name__).shutdown_ingress(queue_name="somequeue_name", vpn_name="default") self.assertIs(xml, None) def test_exclusive(self): xml = get_plugin_from_api(self.api, __plugin_name__).exclusive(queue_name="somequeue_name", vpn_name="default", shutdown_on_apply=True, exclusive=True, force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><access-type><exclusive/></access-type></queue></message-spool></rpc>' % self.api.version) def test_owner(self): xml = get_plugin_from_api(self.api, __plugin_name__).owner(queue_name="somequeue_name", vpn_name="default", owner_username="someuser", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><owner><owner>someuser</owner></owner></queue></message-spool></rpc>' % self.api.version) def test_max_bind_count(self): xml = get_plugin_from_api(self.api, __plugin_name__).max_bind_count(queue_name="somequeue_name", vpn_name="default", max_bind_count=10, force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><max-bind-count><value>10</value></max-bind-count></queue></message-spool></rpc>' % self.api.version) def test_consume(self): xml = get_plugin_from_api(self.api, __plugin_name__).consume(queue_name="somequeue_name", vpn_name="default", consume="all", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><permission><all/><consume/></permission></queue></message-spool></rpc>' % self.api.version) def test_permission_consume(self): xml = get_plugin_from_api(self.api, __plugin_name__).permission(queue_name="somequeue_name", vpn_name="default", permission="consume", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><permission><all/><consume/></permission></queue></message-spool></rpc>' % self.api.version) def test_permission_delete(self): xml = get_plugin_from_api(self.api, __plugin_name__).permission(queue_name="somequeue_name", vpn_name="default", permission="delete", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><permission><all/><delete/></permission></queue></message-spool></rpc>' % self.api.version) def test_permission_modify_topic(self): xml = get_plugin_from_api(self.api, __plugin_name__).permission(queue_name="somequeue_name", vpn_name="default", permission="modify-topic", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><permission><all/><modify-topic/></permission></queue></message-spool></rpc>' % self.api.version) def test_permission_readonly(self): xml = get_plugin_from_api(self.api, __plugin_name__).permission(queue_name="somequeue_name", vpn_name="default", permission="read-only", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><permission><all/><read-only/></permission></queue></message-spool></rpc>' % self.api.version) def test_spool_size(self): xml = get_plugin_from_api(self.api, __plugin_name__).spool_size(queue_name="somequeue_name", vpn_name="default", queue_size=10, force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><max-spool-usage><size>10</size></max-spool-usage></queue></message-spool></rpc>' % self.api.version) def test_retries(self): xml = get_plugin_from_api(self.api, __plugin_name__).retries(queue_name="somequeue_name", vpn_name="default", retries=9, force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><max-redelivery><value>9</value></max-redelivery></queue></message-spool></rpc>' % self.api.version) def test_enable(self): xml = get_plugin_from_api(self.api, __plugin_name__).enable(queue_name="somequeue_name", vpn_name="default", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><no><shutdown><full/></shutdown></no></queue></message-spool></rpc>' % self.api.version) def test_reject_on_discard(self): xml = get_plugin_from_api(self.api, __plugin_name__).reject_on_discard(queue_name="somequeue_name", vpn_name="default", force=True) self.assertIsInstance(xml, PluginResponse) self.assertEqual(xml.xml, '<rpc semp-version="%s"><message-spool><vpn-name>default</vpn-name><queue><name>somequeue_name</name><reject-msg-to-sender-on-discard/></queue></message-spool></rpc>' % self.api.version)

68.061856

492

0.536731

1,333

13,204

5.067517

0.098275

0.053886

0.074611

0.097705

0.798816

0.774241

0.724204

0.687787

0

0.004877

0.332248

13,204

193

493

68.414508

0.761257

0.006589

0

0.402439

0

0.103659

0.290758

0.204514

0

0.231707

1

0.134146

false

0

0.030488

0

0.170732

0.006098

0

null

0

1

0

null

0

5