xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

4bfd781033511a704fa511440baea1d5eab04888

24

py

Python

elliot/recommender/gan/CFGAN/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

175

2021-03-04T15:46:25.000Z

2022-03-31T05:56:58.000Z

elliot/recommender/gan/CFGAN/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

15

2021-03-06T17:53:56.000Z

2022-03-24T17:02:07.000Z

elliot/recommender/gan/CFGAN/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

39

2021-03-04T15:46:26.000Z

2022-03-09T15:37:12.000Z

from .cfgan import CFGAN

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5

4bfdc6defef1bed914ce37007aa631175db3399c

610

py

Python

tests/test_type.py

Cologler/typing-instancecheck-python

b4dcea88468b1ee43ebb36413b099e3e8508b3ce

[ "MIT" ]

6

2018-07-08T09:38:35.000Z

2020-06-25T13:15:02.000Z

tests/test_type.py

Cologler/typing-instancecheck-python

b4dcea88468b1ee43ebb36413b099e3e8508b3ce

[ "MIT" ]

1

2018-07-08T10:12:49.000Z

2018-07-08T11:31:18.000Z

tests/test_type.py

Cologler/istype-python

b4dcea88468b1ee43ebb36413b099e3e8508b3ce

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Copyright (c) 2018~2999 - Cologler <skyoflw@gmail.com> # ---------- # # ---------- from typing import Type, Any from istype import isinstanceof def test_type(): class User: pass class BasicUser(User): pass class ProUser(User): pass class TeamUser(ProUser): pass assert isinstanceof(User, Type[User]) assert isinstanceof(BasicUser, Type[User]) assert isinstanceof(ProUser, Type[User]) assert isinstanceof(TeamUser, Type[User]) assert not isinstanceof(str, Type[User]) assert isinstanceof(str, Type[Any])

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610

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0.227869

610

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true

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null

1

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null

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1

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5

ef549e45904f15d910c9aeec7d32ca3fa25a1f29

71

py

Python

atlas/foundations_contrib/src/test/config/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

296

2020-03-16T19:55:00.000Z

2022-01-10T19:46:05.000Z

atlas/foundations_contrib/src/test/config/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

57

2020-03-17T11:15:57.000Z

2021-07-10T14:42:27.000Z

atlas/foundations_contrib/src/test/config/__init__.py

DeepLearnI/atlas

8aca652d7e647b4e88530b93e265b536de7055ed

[ "Apache-2.0" ]

38

2020-03-17T21:06:05.000Z

2022-02-08T03:19:34.000Z

from test.config.test_bucket_type_fetcher import TestBucketTypeFetcher

35.5

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0.056338

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null

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1

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0

1

0

5

ef6752dc1d5930f80ee3a63bdcc99758b4ce9312

80

py

Python

discor_algo/discor/algorithm/__init__.py

fgitmichael/SelfSupevisedSkillDiscovery

60eee11cfd67046190dd2784bf40e97bdbed9d40

[ "MIT" ]

27

2020-06-09T06:33:14.000Z

2022-03-27T05:36:27.000Z

discor_algo/discor/algorithm/__init__.py

fgitmichael/SelfSupevisedSkillDiscovery

60eee11cfd67046190dd2784bf40e97bdbed9d40

[ "MIT" ]

6

2021-02-02T23:00:02.000Z

2022-01-13T03:13:51.000Z

discor_algo/discor/algorithm/__init__.py

fgitmichael/SelfSupevisedSkillDiscovery

60eee11cfd67046190dd2784bf40e97bdbed9d40

[ "MIT" ]

3

2020-06-15T15:17:36.000Z

2021-03-25T11:52:07.000Z

from .sac import SAC from .discor import DisCor from .eval import EvalAlgorithm

20

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null

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1

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1

0

5

324536e26e4f151be5ed7008682add31552342c4

20

py

Python

example_project/some_modules/third_modules/a30.py

Yuriy-Leonov/cython_imports_limit_issue

2f9e7c02798fb52185dabfe6ce3811c439ca2839

[ "MIT" ]

null

example_project/some_modules/third_modules/a30.py

Yuriy-Leonov/cython_imports_limit_issue

2f9e7c02798fb52185dabfe6ce3811c439ca2839

[ "MIT" ]

null

example_project/some_modules/third_modules/a30.py

Yuriy-Leonov/cython_imports_limit_issue

2f9e7c02798fb52185dabfe6ce3811c439ca2839

[ "MIT" ]

null

class A30: pass

6.666667

10

0.6

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1

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0.35

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5

32a73756c19618b7007511d84e0222404551151f

2,670

py

Python

FF_main_site/main_site.py

Markynice/python_testing

43bac522d9339cac98221cf0be48de9277ca1624

[ "Apache-2.0" ]

null

FF_main_site/main_site.py

Markynice/python_testing

43bac522d9339cac98221cf0be48de9277ca1624

[ "Apache-2.0" ]

null

FF_main_site/main_site.py

Markynice/python_testing

43bac522d9339cac98221cf0be48de9277ca1624

[ "Apache-2.0" ]

null

import unittest import requests from requests.auth import HTTPBasicAuth import HtmlTestRunner class MainSite(unittest.TestCase): def test_Main_page(self): Link = requests.get("https://preprod.fashion-flash.de", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_Unser_Event_Konzept(self): Link = requests.get("https://preprod.fashion-flash.de/wie", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_uber_uns(self): Link = requests.get("https://preprod.fashion-flash.de/uber_uns", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_kooperationen(self): Link = requests.get("https://preprod.fashion-flash.de/kooperationen", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_presse(self): Link = requests.get("https://preprod.fashion-flash.de/presse", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_jobs(self): Link = requests.get("https://preprod.fashion-flash.de/jobs", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_Main_kontakt(self): Link = requests.get("https://preprod.fashion-flash.de/kontakt", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_Impressum(self): Link = requests.get("https://preprod.fashion-flash.de/impressum#impressum", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_agb(self): Link = requests.get("https://preprod.fashion-flash.de/agb#agb", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_Main_page(self): Link = requests.get("https://preprod.fashion-flash.de/datenschutzerklarung#daten", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) def test_tickets(self): Link = requests.get("https://preprod.fashion-flash.de/tickets", auth=HTTPBasicAuth('', '')) Status = Link.status_code self.assertEqual(Status,200) if __name__ == "__main__": unittest.main(testRunner=HtmlTestRunner.HTMLTestRunner(output='example_dir'))

39.850746

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5.625

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0.047531

0.108642

0.129012

0.77963

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2,670

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40.454545

0.785255

0

0.470588

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0.18015

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1

0.215686

false

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0.313725

0

null

0

1

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null

0

1

0

5

32b554ce54a2b28a6163d1b9e87fa1044c737d9c

529

py

Python

netensorflow/ann/macro_layer/layer_structure/layers/__init__.py

psigelo/NeTensorflow

ec8bc09cc98346484d1b682a3dfd25c68c4ded61

[ "MIT" ]

null

netensorflow/ann/macro_layer/layer_structure/layers/__init__.py

psigelo/NeTensorflow

ec8bc09cc98346484d1b682a3dfd25c68c4ded61

[ "MIT" ]

null

netensorflow/ann/macro_layer/layer_structure/layers/__init__.py

psigelo/NeTensorflow

ec8bc09cc98346484d1b682a3dfd25c68c4ded61

[ "MIT" ]

null

from .ConvolutionalLayer import ConvolutionalLayer from .ConvolutionalLayerWithPoolMax2x2 import ConvolutionalLayerWithPoolMax2x2 from .ConvolutionalLayerWithPoolNorm import ConvolutionalLayerWithPoolNorm from .FullConnected import FullConnected from .FullConnectedDropout import FullConnectedDropout from .FullConnectedWithSoftmaxLayer import FullConnectedWithSoftmaxLayer from .InputLayer import InputLayer from .SoftmaxLayer import SoftmaxLayer from .TranslatorLayerImage2OneDimension import TranslatorLayerImage2OneDimension

52.9

80

0.914934

36

529

13.444444

0.305556

0

0.01217

0.068053

529

9

81

58.777778

0.969574

0

1

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true

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1

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5

32b768d9e9d8c3c4f453a9d0baf76286de1ac028

45

py

Python

flexget/plugins/generic/__init__.py

Jeremiad/Flexget

73e6e062eeb126eaec8737a6d6c94ccf3d250b03

[ "MIT" ]

1,322

2015-01-01T22:00:25.000Z

2022-03-30T05:37:46.000Z

flexget/plugins/generic/__init__.py

Jeremiad/Flexget

73e6e062eeb126eaec8737a6d6c94ccf3d250b03

[ "MIT" ]

2,384

2015-01-01T04:23:15.000Z

2022-03-31T01:06:43.000Z

flexget/plugins/generic/__init__.py

Jeremiad/Flexget

73e6e062eeb126eaec8737a6d6c94ccf3d250b03

[ "MIT" ]

617

2015-01-02T15:15:07.000Z

2022-03-15T12:29:31.000Z

"""Plugins handling multiple task phases."""

22.5

44

0.733333

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45

6.6

1

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0.111111

45

1

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0.825

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true

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1

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1

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null

0

1

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5

32bbe9755cbf6e10a27f8528fe4ffeb7111a6081

40

py

Python

greentea/__init__.py

nryotaro/greentea

85d6b4fdfeb36e17deb530fa95c484c34a8d6677

[ "MIT" ]

null

greentea/__init__.py

nryotaro/greentea

85d6b4fdfeb36e17deb530fa95c484c34a8d6677

[ "MIT" ]

1

2020-02-06T04:54:22.000Z

greentea/__init__.py

nryotaro/greentea

85d6b4fdfeb36e17deb530fa95c484c34a8d6677

[ "MIT" ]

null

"""A microframework for abstraction."""

20

39

0.725

4

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7.25

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40

1

40

0.805556

0.825

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true

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null

0

1

0

5

32bf47053381d9edd6f4502ab4c1e3715be161bc

38,732

py

Python

settings/lauecollect_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

null

settings/lauecollect_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

1

2019-10-22T21:28:31.000Z

2019-10-22T21:39:12.000Z

settings/lauecollect_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

2

2019-06-06T15:06:46.000Z

2020-07-20T02:03:22.000Z

param.alist = [0.0, 30.0, 60.0, 90.0] param.amax = 90.0 param.amin = 0.0 param.amode = u'Single pass' param.amotor = 'Phi' param.astep = 30.0 param.description = u'laser 1443 nm, 1.22 mJ, X-ray 40x52 um HxV, 26.0 uJ' param.extension = 'mccd' param.file_basename = 'Test-11' param.lmode = u'off/on' param.logfile_filename = 'Test-11.log' param.path = '/net/mx340hs/data/anfinrud_1809/Test/Test-11' param.randomize_timeseries = False param.ref_timepoint = -9.999999999999999e-06 param.tlist = [-1e-10, -5e-11, 0.0, 5e-11, 1e-10, 3.16e-10, 1e-09, 3.1600000000000003e-09, 1e-08, 3.1600000000000005e-08, 1.0000000000000001e-07, 3.16e-07, 1e-06, 3.16e-06, 9.999999999999999e-06, 3.16e-05, 9.999999999999999e-05, 0.000316, 0.001, 0.00316, 0.01, 0.0316, 0.06517028571428571, 0.13034057142857142] options.ccd_bin_factor = 2 options.ccd_hardware_trigger = True options.ccd_readout_mode = 'frame transfer' options.collection_order = [['delay'], ['laser_on'], ['temperature']] options.estimate_collection_time = False options.finish_series_variable = u'' options.levels = [1.0, 0.178] options.max_waitt_off = 0.1 options.min_waitt_off = 0.024 options.min_waitts = [0.024] options.npasses = 1 options.npasses2 = 1 options.npulses = 200 options.npulses_off = 200 options.open_laser_safety_shutter = False options.open_laser_shutter = True options.periodically_read_ccd = False options.save_raw_image = False options.use_attenuator = False options.use_illuminator = False options.variable_choices = {'delay': [-9.999999999999999e-06, 0.001, -9.999999999999999e-06, 0.01], 'laser_on': [True], 'temperature': [-18.0, 11.0, 35.0], 'level': [1.0]} options.variable_include_in_filename = ['delay', 'laser_on', 'temperature'] options.variable_return = {'repeat2': False, 'repeat': False, 'temperature': True, 'level': False} options.variable_return_value = {'temperature': 22.0} options.variable_wait = {'repeat': False, 'translation': False, 'xray_on': False, 'chopper_mode': False, 'angle': True, 'temperature': False, 'level': False, 'delay': False, 'laser_on': False, 'repeat2': False, 'translation_mode': False} options.wait_for_beam = False options.wait_for_topup = False options.xray_detector_enabled = True options.xray_on = [True] temp.hardware_triggered = False temp.settling_time = 2.0 temp.step = 0.25 temp.temperatures = [22] temp.wait = True align.align_at_collection_phis = True align.align_at_collection_zs = True align.attenuate_xray = False align.beamsize = 0.04 align.boxsize = 15 align.ccd_bin_factor = 8 align.center_sample = 'Beamstop-2' align.center_time = 0 align.enabled = False align.end = -0.4 align.intepolation_dphi = 3.0 align.intepolation_dz = 0.2 align.last_scans_use = 8 align.min_scanpoints = 7 align.npoints = 3 align.npulses = 1 align.optimize = False align.phi_range = 30.0 align.profile = [] align.scan_offset = 0.1 align.start = 0.0 align.step = 0.02 align.threshold = 4.0 align.waitt = 0.024 align.xray_level = 1.0 align.z_range = 0.12 translate.after_image_interleave = False translate.after_image_interleave_factor = 2 translate.after_image_nspots = 7 translate.after_image_zstep = 0.035 translate.after_images = 2 translate.after_series = True translate.alternate = False translate.during_image_nspots = 5 translate.dz = 0.06 translate.end = -11.92 translate.hardware_triggered = True translate.interleave = True translate.interleave_factor = 2 translate.mode = 'linear stage' translate.modes = ['Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Fly-thru', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-12', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Stepping-36', 'Exotic-32', 'Exotic-32', 'Exotic-64', 'Exotic-64', 'Exotic-128', 'Exotic-128', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2', 'Fly-thru-2'] translate.move_time = 0.012 translate.move_when_idle = False translate.park_position = 13.37 translate.return_after_series = 1 translate.return_time = 0.25 translate.single = True translate.start = 11.75 translate.step = -0.483 translate.time = 0.02 translate.x = [4.0, 4.0] translate.y = [4.0, 4.0] translate.z = [4.0, 4.0] chopper.gate_start = [0.0, -3.75e-07, -9.75e-07, -1.8999999999999998e-06, -2.2e-07, -5.0000000000000004e-08, -5.0000000000000004e-08, -5.0000000000000004e-08] chopper.gate_stop = [9.999999999999999e-06, 5.000000000000001e-07, 7.95e-07, 1.2e-06, 5.000000000000001e-07, 5.000000000000001e-07, 5.000000000000001e-07, 5.000000000000001e-07] chopper.min_dt = [-1.9999999999999998e-05, -1.9999999999999998e-05, -1.9999999999999998e-05, -1.9999999999999998e-05, 3.17e-05, -1.9999999999999998e-05, -1.9999999999999998e-05, -20.0] chopper.modes = [7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0] chopper.phase = [0.0, 0.0, 6.000000000000001e-09, 9.000000000000001e-09, -1.4000000000000001e-08, 0.0, -1.841e-06, 4.972e-06] chopper.pulses = [24.0, 1.0, 3.0, 5.0, 24.0, 1.0, 56.0, 1.0] chopper.time = [3.5e-06, 1e-10, 3.08e-07, 6.12e-07, 3.5e-06, 1e-10, 5.000000000000001e-07, 1e-10] chopper.use = [False, False, False, True, False, False, True, False] chopper.variable = False chopper.wait = True chopper.x = [27.67, 37.28, 37.28, 37.28, 37.28, 37.28, 37.28, 33.79] chopper.y = [30.965, 30.965, 30.89, 30.81, 30.09, 30.555, 30.555, 30.12] pump.at_begin_of_dataset = [False, False, False] pump.command_number = 0 pump.commands = ['peristaltic_pump.V.value += 90', '', ''] pump.enabled = True pump.frequencies = [2.0, 117.0, 117.0] pump.frequency = 2 pump.hardware_triggered = True pump.ncommands = 1 pump.on = [0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0] pump.phi1 = -60 pump.phi2 = -30 pump.phi3 = -60 pump.step = -90.0 diagnostics.PVnames = ['ring-current[mA]', 'bunch-current[mA]', 'CryoJet[K]', 'cooling-water-temp[C]', 'room-temp[C]', 'table-temp[C]', 'sample-temp[C]', 'laser-hutch-temp[F]', 'PeriscopeH[mm]', 'PeriscopeV[mm]', 'LaserX[mm]', 'LaserZ[mm]', 'sample-setpoint[C]', 'syringe-pump[uL]', 'MirrorH[mrad]', 'MirrorV[V]'] diagnostics.PVs = ['S:SRcurrentAI.VAL', 'BNCHI:BunchCurrentAI.VAL', '14IDB:oxTemp', '14Keithley1:DMM1Ch1_raw.VAL', '14Keithley1:DMM1Ch3_raw.VAL', '14Keithley1:DMM1Ch4_raw.VAL', 'temperature_controller.readT', 'G:AHU:FP5100Ai', 'PeriscopeH', 'PeriscopeV', 'LaserX', 'LaserZ', 'temperature_controller.setT', 'syringe_pump.volume', 'MirrorH', 'MirrorV'] diagnostics.PVuse = [True, True, False, False, False, False, True, False, False, False, False, False, True, False, False, False] diagnostics.delay = False diagnostics.enabled = False diagnostics.laser = False diagnostics.laser_offset = -1.277e-10 diagnostics.laser_record_waveform = False diagnostics.laser_reference = 3.09e-09 diagnostics.laser_sampling_rate = 1000000000.0 diagnostics.laser_time_offset = -4.5000000000000003e-07 diagnostics.laser_time_range = 2.0000000000000002e-07 diagnostics.min_window = 1.0000000000000001e-07 diagnostics.timing_offset = 0.0 diagnostics.xray = False diagnostics.xray_gate_start = -2.1999999999999975e-07 diagnostics.xray_gate_stop = 5e-07 diagnostics.xray_offset_level = 2.991666666666668e-84 diagnostics.xray_record_waveform = False diagnostics.xray_reference = 4.682e-08 diagnostics.xray_sampling_rate = 1000000000.0 diagnostics.xray_time_offset = 0.0 diagnostics.xray_time_range = 4.9999999999999996e-06 xraycheck.at_start_of_time_series = False xraycheck.comment = '' xraycheck.enabled = False xraycheck.interval = 72000.0 xraycheck.last = 1308282128.659218 xraycheck.min_intensity = 0.1 xraycheck.retract_sample = -2.5 xraycheck.run_variable = 'delay' xraycheck.sample_motor = u'GonZ' xraycheck.type = u'I0' lasercheck.at_start_of_time_series = True lasercheck.attenuator = 39.0 lasercheck.check_only = False lasercheck.comment = 'Average error -0.003, 0.013 mm, signal/noise: 58.5. Change: LaserZ from 0.755 to 0.758, LaserX from -3.945 to -3.957 mm ' lasercheck.enabled = False lasercheck.interval = 420.0 lasercheck.last = 1352623785.897098 lasercheck.last_image = '/data/anfinrud_1211/Data/Laue/PYP/PYP-E46Q-D/PYP-E46Q-D19-263K/beam profile.png' lasercheck.naverage = 4 lasercheck.park_motors = [u'Phi', u'GonX'] lasercheck.park_positions = [0.0, 3.54432] lasercheck.reprate = 40.0 lasercheck.retract_sample = True lasercheck.sample_position = [0.0, 5.0714373125803505] lasercheck.signal_to_noise = 10.0 lasercheck.xprofile = [(0.6416999999999999, 1.0564516129032258), (0.6370499999999999, 1.0806451612903225), (0.6324, 1.125), (0.6277499999999999, 1.153225806451613), (0.6231, 1.0766129032258065), (0.6184499999999999, 0.9919354838709677), (0.6137999999999999, 0.9193548387096774), (0.60915, 1.0443548387096775), (0.6044999999999999, 1.0584677419354838), (0.59985, 1.0786290322580645), (0.5952, 1.1189516129032258), (0.5905499999999999, 1.185483870967742), (0.5859, 1.1653225806451613), (0.5812499999999999, 1.090725806451613), (0.5766, 1.0625), (0.57195, 1.1330645161290323), (0.5672999999999999, 1.2096774193548387), (0.56265, 1.1754032258064515), (0.5579999999999999, 1.1068548387096775), (0.55335, 1.1189516129032258), (0.5487, 1.0887096774193548), (0.5440499999999999, 1.0786290322580645), (0.5394, 1.096774193548387), (0.53475, 1.1411290322580645), (0.5300999999999999, 1.1935483870967742), (0.52545, 1.2137096774193548), (0.5207999999999999, 1.1512096774193548), (0.51615, 1.1471774193548387), (0.5115, 1.1834677419354838), (0.5068499999999999, 1.1411290322580645), (0.5022, 1.1391129032258065), (0.49754999999999994, 1.1935483870967742), (0.49289999999999995, 1.2762096774193548), (0.48824999999999996, 1.1995967741935485), (0.4836, 1.2580645161290323), (0.47895, 1.3024193548387097), (0.47429999999999994, 1.1975806451612903), (0.46964999999999996, 1.2096774193548387), (0.46499999999999997, 1.2076612903225807), (0.46035, 1.2963709677419355), (0.45569999999999994, 1.2983870967741935), (0.45104999999999995, 1.2439516129032258), (0.44639999999999996, 1.0987903225806452), (0.44175, 1.1169354838709677), (0.4371, 1.2076612903225807), (0.43244999999999995, 1.1915322580645162), (0.42779999999999996, 1.2116935483870968), (0.42314999999999997, 1.217741935483871), (0.4185, 1.2298387096774193), (0.41384999999999994, 1.2762096774193548), (0.40919999999999995, 1.2862903225806452), (0.40454999999999997, 1.3266129032258065), (0.3999, 1.4173387096774193), (0.39525, 1.5383064516129032), (0.39059999999999995, 1.5181451612903225), (0.38594999999999996, 1.4778225806451613), (0.3813, 1.4798387096774193), (0.37665, 1.5221774193548387), (0.372, 1.4939516129032258), (0.36734999999999995, 1.4495967741935485), (0.36269999999999997, 1.409274193548387), (0.35805, 1.3608870967741935), (0.3534, 1.4233870967741935), (0.34874999999999995, 1.3850806451612903), (0.34409999999999996, 1.4536290322580645), (0.33945, 1.3870967741935485), (0.3348, 1.4213709677419355), (0.33015, 1.3931451612903225), (0.32549999999999996, 1.4133064516129032), (0.32084999999999997, 1.4112903225806452), (0.3162, 1.5584677419354838), (0.31155, 1.5806451612903225), (0.30689999999999995, 1.5987903225806452), (0.30224999999999996, 1.6733870967741935), (0.2976, 1.7560483870967742), (0.29295, 1.7883064516129032), (0.2883, 1.875), (0.28364999999999996, 1.9858870967741935), (0.27899999999999997, 2.066532258064516), (0.27435, 2.0745967741935485), (0.2697, 2.088709677419355), (0.26504999999999995, 2.129032258064516), (0.26039999999999996, 2.1794354838709675), (0.25575, 2.129032258064516), (0.2511, 2.0403225806451615), (0.24644999999999997, 1.9858870967741935), (0.2418, 2.0544354838709675), (0.23714999999999997, 2.0826612903225805), (0.23249999999999998, 2.1471774193548385), (0.22784999999999997, 2.1774193548387095), (0.22319999999999998, 2.1875), (0.21855, 2.159274193548387), (0.21389999999999998, 2.2278225806451615), (0.20925, 2.3528225806451615), (0.20459999999999998, 2.524193548387097), (0.19995, 2.7298387096774195), (0.19529999999999997, 3.088709677419355), (0.19065, 3.3205645161290325), (0.186, 3.5766129032258065), (0.18134999999999998, 3.9475806451612905), (0.1767, 4.272177419354839), (0.17204999999999998, 4.598790322580645), (0.1674, 4.846774193548387), (0.16274999999999998, 5.024193548387097), (0.1581, 5.203629032258065), (0.15344999999999998, 5.350806451612903), (0.1488, 5.455645161290323), (0.14415, 5.419354838709677), (0.13949999999999999, 5.397177419354839), (0.13485, 5.407258064516129), (0.13019999999999998, 5.5), (0.12555, 5.604838709677419), (0.1209, 5.887096774193548), (0.11624999999999999, 6.110887096774194), (0.11159999999999999, 6.516129032258065), (0.10694999999999999, 7.225806451612903), (0.10229999999999999, 7.983870967741935), (0.09764999999999999, 8.852822580645162), (0.093, 10.046370967741936), (0.08835, 11.328629032258064), (0.0837, 12.94758064516129), (0.07905, 14.534274193548388), (0.0744, 16.635080645161292), (0.06974999999999999, 18.798387096774192), (0.06509999999999999, 21.260080645161292), (0.06045, 23.618951612903224), (0.055799999999999995, 26.429435483870968), (0.051149999999999994, 29.094758064516128), (0.0465, 31.81048387096774), (0.04185, 34.185483870967744), (0.0372, 36.600806451612904), (0.032549999999999996, 38.743951612903224), (0.027899999999999998, 40.61693548387097), (0.02325, 41.95967741935484), (0.0186, 42.80241935483871), (0.013949999999999999, 42.98588709677419), (0.0093, 42.75403225806452), (0.00465, 42.002016129032256), (0.0, 40.79032258064516), (-0.00465, 39.122983870967744), (-0.0093, 37.24193548387097), (-0.013949999999999999, 34.88508064516129), (-0.0186, 32.506048387096776), (-0.02325, 29.870967741935484), (-0.027899999999999998, 27.266129032258064), (-0.032549999999999996, 24.449596774193548), (-0.0372, 21.72782258064516), (-0.04185, 19.197580645161292), (-0.0465, 16.838709677419356), (-0.051149999999999994, 14.491935483870968), (-0.055799999999999995, 12.34475806451613), (-0.06045, 10.262096774193548), (-0.06509999999999999, 8.683467741935484), (-0.06974999999999999, 7.258064516129032), (-0.0744, 6.256048387096774), (-0.07905, 5.229838709677419), (-0.0837, 4.844758064516129), (-0.08835, 4.473790322580645), (-0.093, 4.350806451612903), (-0.09764999999999999, 4.272177419354839), (-0.10229999999999999, 4.44758064516129), (-0.10694999999999999, 4.556451612903226), (-0.11159999999999999, 4.713709677419355), (-0.11624999999999999, 4.80241935483871), (-0.1209, 4.840725806451613), (-0.12555, 4.834677419354839), (-0.13019999999999998, 4.776209677419355), (-0.13485, 4.643145161290323), (-0.13949999999999999, 4.465725806451613), (-0.14415, 4.143145161290323), (-0.1488, 3.901209677419355), (-0.15344999999999998, 3.6794354838709675), (-0.1581, 3.372983870967742), (-0.16274999999999998, 3.026209677419355), (-0.1674, 2.776209677419355), (-0.17204999999999998, 2.560483870967742), (-0.1767, 2.278225806451613), (-0.18134999999999998, 2.002016129032258), (-0.186, 1.8790322580645162), (-0.19065, 1.7661290322580645), (-0.19529999999999997, 1.7600806451612903), (-0.19995, 1.6633064516129032), (-0.20459999999999998, 1.6411290322580645), (-0.20925, 1.6653225806451613), (-0.21389999999999998, 1.75), (-0.21855, 1.7983870967741935), (-0.22319999999999998, 1.8548387096774193), (-0.22784999999999997, 1.8366935483870968), (-0.23249999999999998, 1.7137096774193548), (-0.23714999999999997, 1.784274193548387), (-0.2418, 1.9133064516129032), (-0.24644999999999997, 1.8548387096774193), (-0.2511, 1.8286290322580645), (-0.25575, 1.7923387096774193), (-0.26039999999999996, 1.7116935483870968), (-0.26504999999999995, 1.5846774193548387), (-0.2697, 1.5241935483870968), (-0.27435, 1.471774193548387), (-0.27899999999999997, 1.469758064516129), (-0.28364999999999996, 1.3487903225806452), (-0.2883, 1.2963709677419355), (-0.29295, 1.2681451612903225), (-0.2976, 1.4153225806451613), (-0.30224999999999996, 1.3810483870967742), (-0.30689999999999995, 1.340725806451613), (-0.31155, 1.2681451612903225), (-0.3162, 1.3548387096774193), (-0.32084999999999997, 1.3366935483870968), (-0.32549999999999996, 1.340725806451613), (-0.33015, 1.3508064516129032), (-0.3348, 1.340725806451613), (-0.33945, 1.377016129032258), (-0.34409999999999996, 1.403225806451613), (-0.34874999999999995, 1.5), (-0.3534, 1.5564516129032258), (-0.35805, 1.465725806451613), (-0.36269999999999997, 1.4415322580645162), (-0.36734999999999995, 1.3991935483870968), (-0.372, 1.344758064516129), (-0.37665, 1.185483870967742), (-0.3813, 1.185483870967742), (-0.38594999999999996, 1.0806451612903225), (-0.39059999999999995, 1.1350806451612903), (-0.39525, 1.094758064516129), (-0.3999, 1.0826612903225807), (-0.40454999999999997, 1.0423387096774193), (-0.40919999999999995, 1.1431451612903225), (-0.41384999999999994, 1.153225806451613), (-0.4185, 1.1068548387096775), (-0.42314999999999997, 1.090725806451613), (-0.42779999999999996, 1.189516129032258), (-0.43244999999999995, 1.2237903225806452), (-0.4371, 1.2580645161290323), (-0.44175, 1.2379032258064515), (-0.44639999999999996, 1.3185483870967742), (-0.45104999999999995, 1.3165322580645162), (-0.45569999999999994, 1.284274193548387), (-0.46035, 1.2439516129032258), (-0.46499999999999997, 1.2560483870967742), (-0.46964999999999996, 1.2641129032258065), (-0.47429999999999994, 1.2076612903225807), (-0.47895, 1.1370967741935485), (-0.4836, 1.092741935483871), (-0.48824999999999996, 0.9778225806451613), (-0.49289999999999995, 0.9334677419354839), (-0.49754999999999994, 1.0685483870967742), (-0.5022, 1.060483870967742), (-0.5068499999999999, 1.032258064516129), (-0.5115, 1.0181451612903225), (-0.51615, 0.9375), (-0.5207999999999999, 0.9294354838709677), (-0.52545, 0.9193548387096774), (-0.5300999999999999, 1.0262096774193548), (-0.53475, 1.0725806451612903), (-0.5394, 1.1068548387096775), (-0.5440499999999999, 1.159274193548387), (-0.5487, 1.159274193548387), (-0.55335, 1.1189516129032258), (-0.5579999999999999, 1.0383064516129032), (-0.56265, 1.0524193548387097), (-0.5672999999999999, 1.0866935483870968), (-0.57195, 1.0887096774193548), (-0.5766, 1.1008064516129032), (-0.5812499999999999, 1.096774193548387), (-0.5859, 1.0100806451612903), (-0.5905499999999999, 0.9959677419354839)] lasercheck.zprofile = [(-1.1159999999999999, 1.3796992481203008), (-1.1113499999999998, 1.4022556390977443), (-1.1067, 1.3646616541353382), (-1.10205, 1.3909774436090225), (-1.0974, 1.4473684210526316), (-1.0927499999999999, 1.3984962406015038), (-1.0880999999999998, 1.4586466165413534), (-1.0834499999999998, 1.5263157894736843), (-1.0788, 1.5), (-1.07415, 1.537593984962406), (-1.0695, 1.5526315789473684), (-1.0648499999999999, 1.5451127819548873), (-1.0601999999999998, 1.593984962406015), (-1.05555, 1.5037593984962405), (-1.0509, 1.4548872180451127), (-1.04625, 1.443609022556391), (-1.0415999999999999, 1.5338345864661653), (-1.0369499999999998, 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1.3646616541353382), (1.1067, 1.330827067669173), (1.1113499999999998, 1.4097744360902256), (1.1159999999999999, 1.387218045112782), (1.12065, 1.5225563909774436), (1.1253, 1.5451127819548873), (1.12995, 1.5075187969924813), (1.1345999999999998, 1.368421052631579), (1.1392499999999999, 1.2142857142857142), (1.1439, 1.1390977443609023), (1.14855, 1.2969924812030076), (1.1532, 1.218045112781955), (1.1578499999999998, 1.2744360902255638), (1.1624999999999999, 1.3195488721804511), (1.16715, 1.368421052631579), (1.1718, 1.244360902255639), (1.17645, 1.1541353383458646), (1.1810999999999998, 1.1804511278195489), (1.1857499999999999, 1.2406015037593985)] timingcheck.at_start_of_time_series = False timingcheck.attenuator_angle = 300 timingcheck.comment = 'Timing error -1.33ps, sdev 12.8ps, 19 samples, sampling error 3.02ps' timingcheck.enabled = False timingcheck.interval = 420.0 timingcheck.last = 1425686749.14541 timingcheck.min_intensity = 0.1 timingcheck.retract_sample = 0.0 timingcheck.sample_motor = u'' sample_photo.enabled = False sample_photo.frequency_orientations = 1 sample_photo.phis = (0,) checklist.U23 = 10.741 checklist.U27 = 15.848 checklist.shg = 0.15 checklist.svg = 0.05 checklist.wbshg = 0.9 checklist.wbsvg = 0.6

197.612245

18,190

0.750981

4,904

38,732

5.895799

0.246737

0.019126

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0.032442

0.072908

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0.050704

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0.069039

38,732

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18,191

198.625641

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null

0

1

0

1

0

null

0

1

0

5

089a5477ea68a179666a146dd66ee066201ad4f2

5,743

py

Python

firework_program.py

korombus/blender_firework_py

4faccc3c7acac8c4a668c4735e7d7ec601c86d81

[ "MIT" ]

null

firework_program.py

korombus/blender_firework_py

4faccc3c7acac8c4a668c4735e7d7ec601c86d81

[ "MIT" ]

null

firework_program.py

korombus/blender_firework_py

4faccc3c7acac8c4a668c4735e7d7ec601c86d81

[ "MIT" ]

null

firework_program = { "50": [ {"x": 0, "y": 0}, {"x": 0, "y": 15}, {"x": 0, "y": -15} ], "150": [ {"x": 0, "y": 20} ], "190": [ {"x": 0, "y": 15} ], "230": [ {"x": 0, "y": 10} ], "270": [ {"x": 0, "y": 5} ], "310": [ {"x": 0, "y": 0} ], "350": [ {"x": 0, "y": -5} ], "390": [ {"x": 0, "y": -10} ], "430": [ {"x": 0, "y": -15} ], "470": [ {"x": 0, "y": -20} ], "570": [ {"x": 0, "y": -20} ], "610": [ {"x": 0, "y": -15} ], "650": [ {"x": 0, "y": -10} ], "690": [ {"x": 0, "y": -5} ], "730": [ {"x": 0, "y": 0} ], "770": [ {"x": 0, "y": 5} ], "810": [ {"x": 0, "y": 10} ], "850": [ {"x": 0, "y": 15} ], "890": [ {"x": 0, "y": 20} ], "990": [ {"x": 0, "y": 20}, {"x": 0, "y": -20} ], "1030": [ {"x": 0, "y": 15}, {"x": 0, "y": -15} ], "1070": [ {"x": 0, "y": 10}, {"x": 0, "y": -10} ], "1110": [ {"x": 0, "y": 5}, {"x": 0, "y": -5} ], "1150": [ {"x": 0, "y": 0} ], "1250": [ {"x": 0, "y": 0} ], "1290": [ {"x": 0, "y": 5}, {"x": 0, "y": -5} ], "1330": [ {"x": 0, "y": 10}, {"x": 0, "y": -10} ], "1370": [ {"x": 0, "y": 15}, {"x": 0, "y": -15} ], "1410": [ {"x": 0, "y": 20}, {"x": 0, "y": -20} ], "1510": [ {"x": 0, "y": 0}, {"x": 0, "y": 15}, {"x": 0, "y": -15} ], "1610": [ {"x": 0, "y": 20} ], "1630": [ {"x": 0, "y": 15} ], "1650": [ {"x": 0, "y": 10} ], "1670": [ {"x": 0, "y": 5} ], "1690": [ {"x": 0, "y": 0} ], "1710": [ {"x": 0, "y": -5} ], "1730": [ {"x": 0, "y": -10} ], "1750": [ {"x": 0, "y": -15} ], "1770": [ {"x": 0, "y": -20} ], "1870": [ {"x": -10, "y": 0}, {"x": -10, "y": 15}, {"x": -10, "y": -15} ], "1910": [ {"x": 20, "y": 0}, {"x": 20, "y": 28}, {"x": 20, "y": -28} ], "1950": [ {"x": 90, "y": 0}, {"x": 90, "y": 50}, {"x": 90, "y": 25}, {"x": 90, "y": -50}, {"x": 90, "y": -25} ], "1990": [ {"x": 20, "y": 0}, {"x": 20, "y": 28}, {"x": 20, "y": -28} ], "2030": [ {"x": -10, "y": 0}, {"x": -10, "y": 15}, {"x": -10, "y": -15} ], "2130": [ {"x": 0, "y": 20}, {"x": 0, "y": -20} ], "2150": [ {"x": 0, "y": 15}, {"x": 0, "y": -15} ], "2170": [ {"x": 0, "y": 10}, {"x": 0, "y": -10} ], "2190": [ {"x": 0, "y": 5}, {"x": 0, "y": -5} ], "2210": [ {"x": 0, "y": 0} ], "2310": [ {"x": 0, "y": 0} ], "2330": [ {"x": 0, "y": 5}, {"x": 0, "y": -5} ], "2350": [ {"x": 0, "y": 10}, {"x": 0, "y": -10} ], "2370": [ {"x": 0, "y": 15}, {"x": 0, "y": -15} ], "2390": [ {"x": 0, "y": 20}, {"x": 0, "y": -20} ], "2490": [ {"x": 0, "y": 0}, {"x": 0, "y": 15}, {"x": 0, "y": -15} ], "2590": [ {"x": 90, "y": 50}, {"x": 90, "y": -50} ], "2610": [ {"x": 70, "y": 35}, {"x": 70, "y": -35} ], "2630": [ {"x": 40, "y": 20}, {"x": 40, "y": -20} ], "2650": [ {"x": 20, "y": 10}, {"x": 20, "y": -10} ], "2670": [ {"x": 5, "y": 5}, {"x": 5, "y": -5} ], "2690": [ {"x": -10, "y": 0} ], "2790": [ {"x": -10, "y": 0} ], "2810": [ {"x": 5, "y": 5}, {"x": 5, "y": -5} ], "2830": [ {"x": 20, "y": 10}, {"x": 20, "y": -10} ], "2850": [ {"x": 40, "y": 20}, {"x": 40, "y": -20} ], "2870": [ {"x": 70, "y": 35}, {"x": 70, "y": -35} ], "2890": [ {"x": 90, "y": 50}, {"x": 90, "y": -50} ], "2910": [ {"x": 0, "y": 0}, {"x": 0, "y": 15}, {"x": 0, "y": -15} ], "3010": [ {"x": 0, "y": 20} ], "3020": [ {"x": 0, "y": -15} ], "3030": [ {"x": 0, "y": 10} ], "3040": [ {"x": 0, "y": -5} ], "3050": [ {"x": 0, "y": 0} ], "3060": [ {"x": 0, "y": 5} ], "3070": [ {"x": 0, "y": -10} ], "3080": [ {"x": 0, "y": 15} ], "3090": [ {"x": 0, "y": -20} ], "3190": [ {"x": 0, "y": -20} ], "3200": [ {"x": 0, "y": 15} ], "3210": [ {"x": 0, "y": -10} ], "3220": [ {"x": 0, "y": 5} ], "3230": [ {"x": 0, "y": 0} ], "3240": [ {"x": 0, "y": -5} ], "3250": [ {"x": 0, "y": 10} ], "3260": [ {"x": 0, "y": -15} ], "3270": [ {"x": 0, "y": 20} ], "3370": [ {"x": 90, "y": 0}, {"x": 90, "y": 50}, {"x": 90, "y": 25}, {"x": 90, "y": -50}, {"x": 90, "y": -25} ], "3410": [ {"x": 20, "y": 14}, {"x": 20, "y": -14}, {"x": 20, "y": 28}, {"x": 20, "y": -28} ], "3450": [ {"x": -10, "y": 0}, {"x": -10, "y": 15}, {"x": -10, "y": -15} ] }

17.725309

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0.18701

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1

0

1

0

null

0

5

08ae63b31e4b90b041eef904dfc35380a6e4431c

44

py

Python

pre_extra_script.py

oskrs111/diy-co2-monitior

ca72bf613421732216da5af8359749af52bb49c3

[ "MIT" ]

8

2020-11-03T09:51:59.000Z

2021-09-20T05:01:42.000Z

pre_extra_script.py

oskrs111/diy-co2-monitior

ca72bf613421732216da5af8359749af52bb49c3

[ "MIT" ]

2

2020-11-29T08:11:41.000Z

2021-01-24T19:21:00.000Z

pre_extra_script.py

oskrs111/diy-co2-monitior

ca72bf613421732216da5af8359749af52bb49c3

[ "MIT" ]

3

2020-11-19T12:06:42.000Z

2021-02-05T10:31:57.000Z

import os os.system("node ./www/2header.js")

22

34

0.727273

8

44

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0.875

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0.02439

0.068182

44

2

34

22

0.756098

0

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0

true

0

0.5

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0.5

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null

0

1

0

null

0

1

0

1

0

5

08e4a947174bc25f787e36630a1d2d8f83289d8b

821

py

Python

server.py

meugur/browser-script-caching

5ed7358645cc2db6f25641bda2efa11e74839789

[ "MIT" ]

null

server.py

meugur/browser-script-caching

5ed7358645cc2db6f25641bda2efa11e74839789

[ "MIT" ]

null

server.py

meugur/browser-script-caching

5ed7358645cc2db6f25641bda2efa11e74839789

[ "MIT" ]

null

from flask import Flask, render_template, send_from_directory app = Flask(__name__, static_url_path='') @app.route('/') def index(): return "Testing server" @app.route('/test-scripts') def test_scripts(): return render_template('test-scripts.html') @app.route('/test-scripts-async') def test_scripts_async(): return render_template('test-scripts-async.html') @app.route('/test-scripts-mixed') def test_scripts_mixed(): return render_template('test-scripts-mixed.html') @app.route('/test-scripts-defer') def test_scripts_defer(): return render_template('test-scripts-defer.html') @app.route('/test-scripts-dynamic') def test_scripts_dynamic(): return render_template('test-scripts-dynamic.html') @app.route('/js/<path:path>') def serve_js(path): return send_from_directory('js', path)

24.878788

61

0.735688

114

821

5.070175

0.236842

0.285467

0.103806

0.16436

0.427336

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0.102314

821

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25.65625

0.784261

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false

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0.043478

0.304348

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1

0

null

0

1

0

1

0

5

3ea78d9efdfd47e17a5972ec844bae1e80375a9a

161

py

Python

tests.py

fossabot/upsidedown

a6f06fc8be5bfb7a58859f110cfd07d230e46dd5

[ "MIT" ]

23

2015-03-22T07:44:53.000Z

2022-03-04T07:55:43.000Z

tests.py

fossabot/upsidedown

a6f06fc8be5bfb7a58859f110cfd07d230e46dd5

[ "MIT" ]

4

2015-06-10T22:37:45.000Z

2019-12-15T19:06:52.000Z

tests.py

fossabot/upsidedown

a6f06fc8be5bfb7a58859f110cfd07d230e46dd5

[ "MIT" ]

5

2016-04-11T20:22:03.000Z

2020-04-30T20:09:18.000Z

from __future__ import unicode_literals import upsidedown assert upsidedown.transform('Hello there') == '\u01dd\u0279\u01dd\u0265\u0287 o\ua781\ua781\u01ddH';

26.833333

100

0.801242

21

161

5.904762

0.809524

0

0.163265

0.086957

161

5

101

32.2

0.680272

0

0.385093

0.186335

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0.333333

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true

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0.666667

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0.666667

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

3ef158b98ce77d0529bb77b2f9534ccfdd46909a

159

py

Python

ark/main.py

YannickSF/Ark

2d2c20348a19354ee2c9eca474af8694778fc14d

[ "MIT" ]

null

ark/main.py

YannickSF/Ark

2d2c20348a19354ee2c9eca474af8694778fc14d

[ "MIT" ]

null

ark/main.py

YannickSF/Ark

2d2c20348a19354ee2c9eca474af8694778fc14d

[ "MIT" ]

null

from ark.core.ark import Ark from ark.core.ark_index import ArkIndex if __name__ == '__main__': db = Ark() db.__add__('self') index = ArkIndex()

17.666667

39

0.666667

23

159

4.043478

0.521739

0.150538

0.236559

0.301075

0

0.207547

159

8

40

19.875

0.738095

0

0.075949

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

5

410fc6c3e992c3452b379b1329a80aebdfcb42a1

191

py

Python

mayan/apps/mirroring/literals.py

nattangwiwat/Mayan-EDMS-recitation

fcf16afb56eae812fb99144d65ae1ae6749de0b7

[ "Apache-2.0" ]

343

2015-01-05T14:19:35.000Z

2018-12-10T19:07:48.000Z

mayan/apps/mirroring/literals.py

nattangwiwat/Mayan-EDMS-recitation

fcf16afb56eae812fb99144d65ae1ae6749de0b7

[ "Apache-2.0" ]

191

2015-01-03T00:48:19.000Z

2018-11-30T09:10:25.000Z

mayan/apps/mirroring/literals.py

nattangwiwat/Mayan-EDMS-recitation

fcf16afb56eae812fb99144d65ae1ae6749de0b7

[ "Apache-2.0" ]

257

2019-05-14T10:26:37.000Z

2022-03-30T03:37:36.000Z

DEFAULT_MIRRORING_DOCUMENT_CACHE_LOOKUP_TIMEOUT = 10 DEFAULT_MIRRORING_NODE_CACHE_LOOKUP_TIMEOUT = 10 FILE_MODE = DIRECTORY_MODE = 0o555 MAX_FILE_DESCRIPTOR = 65535 MIN_FILE_DESCRIPTOR = 0

23.875

52

0.86911

27

191

5.555556

0.62963

0.213333

0.24

0.266667

0

0.081395

0.099476

191

7

53

27.285714

0.790698

0

1

0

false

0

1

0

null

1

0

1

0

null

0

5

412283a5eeadac9e3547d4c6b563f783516d71d3

141

py

Python

veyon/PySwitchTracer/servers/flask_/slaver/receptorView/view.py

IzayoiRin/VirtualVeyonST

d0c4035dba81d02135ad54f4c5a5d463e95f7925

[ "MIT" ]

null

veyon/PySwitchTracer/servers/flask_/slaver/receptorView/view.py

IzayoiRin/VirtualVeyonST

d0c4035dba81d02135ad54f4c5a5d463e95f7925

[ "MIT" ]

null

veyon/PySwitchTracer/servers/flask_/slaver/receptorView/view.py

IzayoiRin/VirtualVeyonST

d0c4035dba81d02135ad54f4c5a5d463e95f7925

[ "MIT" ]

null

from servers.flask_.slaver.receptorView import bp @bp.route("/receptor", methods=["GET"]) def receptor(): return "Hello from Receptor"

20.142857

49

0.723404

18

141

5.611111

0.777778

0

0.12766

141

6

50

23.5

0.821138

0

0.219858

0

1

0.25

true

0

0.25

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0

1

0

null

0

1

0

null

0

1

0

1

0

5

f5c01e93ffcf4a3964189c97d37fb4f67c63befc

173

py

Python

dbt/adapters/bigquery/__init__.py

cpdean/dbt

c19a42625a3e1dcb42f2bf865541c75f3595503c

[ "Apache-2.0" ]

1

2018-06-20T17:51:20.000Z

dbt/adapters/bigquery/__init__.py

cpdean/dbt

c19a42625a3e1dcb42f2bf865541c75f3595503c

[ "Apache-2.0" ]

null

dbt/adapters/bigquery/__init__.py

cpdean/dbt

c19a42625a3e1dcb42f2bf865541c75f3595503c

[ "Apache-2.0" ]

1

2018-10-18T18:45:38.000Z

from dbt.adapters.bigquery.impl import BigQueryAdapter from dbt.adapters.bigquery.relation import BigQueryRelation __all__ = [ BigQueryAdapter, BigQueryRelation, ]

21.625

59

0.803468

17

173

7.941176

0.588235

0.103704

0.222222

0.340741

0

0.132948

173

7

60

24.714286

0.9

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false

0

0.333333

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0.333333

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null

0

1

0

1

0

null

0

1

0

5

eb28edaf509c96c61e3ceda3ee421a54e4ec3672

93

py

Python

fortiori/transpiler.py

keotl/fortiori

9a1dee15d627c0cce5bd4dbea83157a2c1e3a4f8

[ "MIT" ]

1

2020-06-23T16:48:32.000Z

fortiori/transpiler.py

keotl/fortiori

9a1dee15d627c0cce5bd4dbea83157a2c1e3a4f8

[ "MIT" ]

null

fortiori/transpiler.py

keotl/fortiori

9a1dee15d627c0cce5bd4dbea83157a2c1e3a4f8

[ "MIT" ]

null

class Transpiler(object): def __init__(self, target: str): self.target = target

18.6

36

0.655914

11

93

5.181818

0.727273

0.350877

0

0.236559

93

4

37

23.25

0.802817

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

eb3e79bff92398174e6c06a2595786a6bdc910f3

138

py

Python

theme/admin.py

sajib1066/django-portfolio-cms

346b5e69a60104d5286a56b329b877e7c37596e3

[ "MIT" ]

null

theme/admin.py

sajib1066/django-portfolio-cms

346b5e69a60104d5286a56b329b877e7c37596e3

[ "MIT" ]

3

2021-06-09T17:51:40.000Z

2022-03-12T00:31:00.000Z

theme/admin.py

sajib1066/django-portfolio-cms

346b5e69a60104d5286a56b329b877e7c37596e3

[ "MIT" ]

4

2021-02-08T07:03:45.000Z

2021-09-01T05:23:52.000Z

from django.contrib import admin from .models import Theme, SelectedTheme admin.site.register(Theme) admin.site.register(SelectedTheme)

19.714286

40

0.826087

18

138

6.333333

0.555556

0.157895

0.298246

0

0.094203

138

6

41

23

0.912

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

deca24fc28d91227b6ccd3b5cca8448179eec3c6

2,105

py

Python

tests/server/api/v1/test_metadata_mixin.py

alexschiller/waterbutler

24014d7705aca3e99a6565fc3b9b4075ec6ec563

[ "Apache-2.0" ]

null

tests/server/api/v1/test_metadata_mixin.py

alexschiller/waterbutler

24014d7705aca3e99a6565fc3b9b4075ec6ec563

[ "Apache-2.0" ]

1

2017-11-29T20:28:35.000Z

tests/server/api/v1/test_metadata_mixin.py

Johnetordoff/waterbutler

b505cdbcffadaba12984dcb19c9139068e6c314d

[ "Apache-2.0" ]

null

import pytest from unittest import mock from waterbutler.server.api.v1.provider.metadata import MetadataMixin class BaseMetadataMixinTest: def setup_method(self, method): self.mixin = MetadataMixin() self.mixin.write = mock.Mock() self.mixin.request = mock.Mock() self.mixin.set_status = mock.Mock() @pytest.mark.skipif class TestHeaderMetadata(BaseMetadataMixinTest): def test_revision(self): pass def test_version(self): pass def test_size_none(self): pass def test_modified_none(self): pass def test_content_type_default(self): pass def test_x_waterbutler_metadata(self): pass @pytest.mark.skipif class TestGetFolder(BaseMetadataMixinTest): def test_zip(self): pass def test_listing(self): pass @pytest.mark.skipif class TestGetFile(BaseMetadataMixinTest): def test_meta(self): pass def test_versions(self): pass def test_revisions(self): pass def test_download_file(self): pass @pytest.mark.skipif class TestDownloadFile(BaseMetadataMixinTest): def test_range(self): pass def test_version(self): pass def test_revision(self): pass def test_mode(self): pass def test_direct(self): pass def test_redirect(self): pass def test_content_type(self): pass def test_content_length(self): pass def test_display_name(self): pass def test_stream_name(self): pass def test_mime_type(self): pass @pytest.mark.skipif class TestFileMetadata(BaseMetadataMixinTest): def test_version(self): pass def test_revision(self): pass def test_return(self): pass @pytest.mark.skipif class TestFileRevisions(BaseMetadataMixinTest): def test_return(self): pass def test_not_coroutine(self): pass @pytest.mark.skipif class TestDownloadFolderAsZip(BaseMetadataMixinTest): def test_return(self): pass

16.317829

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0.654632

241

2,105

5.53527

0.257261

0.152174

0.181409

0.247376

0.422039

0.355322

0.122939

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0.077961

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2,105

128

70

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false

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null

0

1

0

1

0

1

0

5

720dbea190e784e0c8ad960dcfa92c674de61dbb

821

py

Python

tests/contracts/repo.py

cffbots/howfairis

008552b7266e229bd38553631d7dfe3554df18b2

[ "Apache-2.0" ]

27

2020-09-10T10:04:56.000Z

2022-02-07T23:24:13.000Z

tests/contracts/repo.py

cffbots/howfairis

008552b7266e229bd38553631d7dfe3554df18b2

[ "Apache-2.0" ]

297

2020-09-07T14:10:08.000Z

2022-02-18T09:46:30.000Z

tests/contracts/repo.py

cffbots/howfairis

008552b7266e229bd38553631d7dfe3554df18b2

[ "Apache-2.0" ]

6

2020-09-10T12:58:37.000Z

2022-03-11T10:17:21.000Z

from abc import ABC from abc import abstractmethod from requests_mock.mocker import Mocker class Contract(ABC): @abstractmethod def test_api(self, mocker: Mocker): pass @abstractmethod def test_branch(self, mocker: Mocker): pass @abstractmethod def test_default_branch(self, mocker: Mocker): pass @abstractmethod def test_owner(self, mocker: Mocker): pass @abstractmethod def test_path(self, mocker: Mocker): pass @abstractmethod def test_platform(self, mocker: Mocker): pass @abstractmethod def test_raw_url_format_string(self, mocker: Mocker): pass @abstractmethod def test_repo(self, mocker: Mocker): pass @abstractmethod def test_url(self, mocker: Mocker): pass

19.093023

57

0.657734

93

821

5.655914

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0.359316

0.342205

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0.27162

821

42

58

19.547619

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false

0.290323

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null

1

0

null

0

1

0

1

0

5

a0dd8a0bb62be9695fdb18291e4103866a1b5a7d

422

py

Python

EX 8/dictionary example.py

Fallinqqq/ITP-100-01-Course-Projects

09c2a5d9d94fd4d68aac161acbc475850784abaa

[ "MIT" ]

null

EX 8/dictionary example.py

Fallinqqq/ITP-100-01-Course-Projects

09c2a5d9d94fd4d68aac161acbc475850784abaa

[ "MIT" ]

null

EX 8/dictionary example.py

Fallinqqq/ITP-100-01-Course-Projects

09c2a5d9d94fd4d68aac161acbc475850784abaa

[ "MIT" ]

null

# Nested Dictionary outcome: states["Texas"]["flower"] # 'Bluebonnet' # states["Texas"] # {'capital': 'Austin', 'flower': 'Bluebonnet'} """'states = { "california": { "capital": "Sacramento", "flower": "California Poppy", }, "New York": { "capital": "Albany", "flower": "Rose", }, "Texas": { "capital": "Austin", "flower": "Bluebonnet", }, }''"""

19.181818

54

0.492891

31

422

6.709677

0.516129

0.230769

0.211538

0.230769

0.326923

0

0.274882

422

21

55

20.095238

0.679739

0.962085

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

1

0

1

0

null

0

1

0

5

a0ec2e4895d4438369c9e2ddaa3bf49f6c4b2485

47

py

Python

authz/model/__init__.py

nimatbt/Auth-Microservice

449fd7c3210822d6c59940f817c978fd1715a876

[ "Apache-2.0" ]

null

authz/model/__init__.py

nimatbt/Auth-Microservice

449fd7c3210822d6c59940f817c978fd1715a876

[ "Apache-2.0" ]

null

authz/model/__init__.py

nimatbt/Auth-Microservice

449fd7c3210822d6c59940f817c978fd1715a876

[ "Apache-2.0" ]

null

from authz.model.user import User # 18-1 : 48'

23.5

46

0.702128

9

47

3.666667

0.888889

0

0.128205

0.170213

47

1

47

0.717949

0.212766

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

5

9d05f521fa0d270fdc8644b006ff5738c914b976

223

py

Python

config.py

Shalamnik/philology-teacher-bot

77fe9229ab7b7858355f19ee2cbd258596872734

[ "MIT" ]

null

config.py

Shalamnik/philology-teacher-bot

77fe9229ab7b7858355f19ee2cbd258596872734

[ "MIT" ]

null

config.py

Shalamnik/philology-teacher-bot

77fe9229ab7b7858355f19ee2cbd258596872734

[ "MIT" ]

null

from configparser import ConfigParser class Config: def __init__(self): self._config = ConfigParser() self._config.read('config.ini') def __getitem__(self, item): return self._config[item]

22.3

39

0.672646

25

223

5.56

0.52

0.215827

0

0.2287

223

10

40

22.3

0.80814

0

0.044643

0

1

0.285714

false

0

0.142857

0.714286

0

1

0

null

1

0

null

0

1

0

1

0

5

9d2be824a0ee3cea5cbb93d5f9c561d9a443f0d9

54

py

Python

test.py

tsukasa1227/glareImage

e7650613d876342b35f6485807e7eb106b48df91

[ "MIT" ]

null

test.py

tsukasa1227/glareImage

e7650613d876342b35f6485807e7eb106b48df91

[ "MIT" ]

null

test.py

tsukasa1227/glareImage

e7650613d876342b35f6485807e7eb106b48df91

[ "MIT" ]

null

#!/usr/python3 print("test") print("test-branch")

6.75

20

0.62963

7

54

4.857143

0.714286

0.529412

0

0.021277

0.12963

54

7

21

7.714286

0.702128

0.240741

0

0.394737

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

9d475716ec3df6e3e65366908b242f5696c7b3b4

155

py

Python

Italiano/old/databricks_cli.py

Burlesco70/DataScienceCourse

00c1c47e0eef78aebdf3db5ccf981658ebedc5ea

[ "MIT" ]

6

2020-04-11T18:02:57.000Z

2021-11-26T09:40:12.000Z

Italiano/old/databricks_cli.py

Burlesco70/DataScienceCourse

00c1c47e0eef78aebdf3db5ccf981658ebedc5ea

[ "MIT" ]

1

2020-05-08T15:30:02.000Z

2020-05-10T09:23:15.000Z

Italiano/old/databricks_cli.py

Burlesco70/DataScienceCourse

00c1c47e0eef78aebdf3db5ccf981658ebedc5ea

[ "MIT" ]

3

2019-12-05T16:02:50.000Z

2020-05-03T07:43:26.000Z

import databricks_cli as cli host = "https://westeurope.azuredatabricks.net/?o=7194849461143097#" token = "dapi3fbeb0f60b9d2121dc4fa02708f7c383"

22.142857

69

0.774194

14

155

8.5

0.928571

0

0.259259

0.129032

155

6

70

25.833333

0.622222

0

0.646259

0.244898

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

19c781c9881553401f5d60f5dacd9f15d733e01e

570

py

Python

stockprophet/cli/__init__.py

chihyi-liao/stockprophet

891c91b2a446e3bd30bb56b88be3874d7dda1b8d

[ "BSD-3-Clause" ]

1

2021-11-15T13:07:19.000Z

stockprophet/cli/__init__.py

chihyi-liao/stockprophet

891c91b2a446e3bd30bb56b88be3874d7dda1b8d

[ "BSD-3-Clause" ]

null

stockprophet/cli/__init__.py

chihyi-liao/stockprophet

891c91b2a446e3bd30bb56b88be3874d7dda1b8d

[ "BSD-3-Clause" ]

1

2021-09-15T09:25:39.000Z

import click from .stock import commands as stock from .ta import commands as ta from .ba import commands as ba from .db import commands as db from .sim import commands as sim from .recommender import commands as recommender @click.group() def entry_point(): pass entry_point.add_command(stock.stock_group, 'stock') entry_point.add_command(ta.ta_group, 'ta') entry_point.add_command(ba.ba_group, 'ba') entry_point.add_command(db.db_group, 'db') entry_point.add_command(sim.sim_group, 'sim') entry_point.add_command(recommender.recommender_group, 'recommender')

25.909091

69

0.792982

92

570

4.706522

0.195652

0.161663

0.221709

0.277136

0

0.110526

570

21

70

27.142857

0.854043

0

0.04386

0

1

0.0625

true

0.0625

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0

0.5

0

null

0

1

0

null

0

1

0

5

19d4b8f52601492cf727019a9bf9674977deebc3

91

py

Python

2015/day_8/chars.py

ceronman/AdventOfCode2015

87b6d93df960045b5eff1ded107ac4e2719ee6e6

[ "MIT" ]

4

2019-12-03T02:03:23.000Z

2019-12-20T11:36:00.000Z

2015/day_8/chars.py

ceronman/AdventOfCode2015

87b6d93df960045b5eff1ded107ac4e2719ee6e6

[ "MIT" ]

null

2015/day_8/chars.py

ceronman/AdventOfCode2015

87b6d93df960045b5eff1ded107ac4e2719ee6e6

[ "MIT" ]

null

import ast print sum(len(s.strip()) - len(ast.literal_eval(s)) for s in open('input.txt'))

30.333333

79

0.692308

18

91

3.444444

0.777778

0

0.10989

91

3

79

30.333333

0.765432

0

0.097826

0

null

0

0.5

null

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

19f81d601acc0230a3ebc0b0d98b6bf47cc7e1ba

44

py

Python

tests/requests/models.py

webjunkie/django

5dbca13f3baa2e1bafd77e84a80ad6d8a074712e

[ "BSD-3-Clause" ]

790

2015-01-03T02:13:39.000Z

2020-05-10T19:53:57.000Z

tests/regressiontests/requests/models.py

mradziej/django

5d38965743a369981c9a738a298f467f854a2919

[ "BSD-3-Clause" ]

1,361

2015-01-08T23:09:40.000Z

2020-04-14T00:03:04.000Z

tests/regressiontests/requests/models.py

mradziej/django

5d38965743a369981c9a738a298f467f854a2919

[ "BSD-3-Clause" ]

155

2015-01-08T22:59:31.000Z

2020-04-08T08:01:53.000Z

# Need a models module for the test runner.

22

43

0.75

8

44

4.125

1

0

0.204545

44

1

44

0.942857

0.931818

0

null

0

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null

0

null

1

null

true

0

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1

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null

0

1

0

1

0

null

0

1

0

5

c230de7b0050f09143731c6e4e79d3571390e5d9

193

py

Python

classifier/gmm/__init__.py

ecohealthalliance/eha_grit

cb95b759222ca7a416dd7d439571e7b610dd5e23

[ "Apache-2.0" ]

null

classifier/gmm/__init__.py

ecohealthalliance/eha_grit

cb95b759222ca7a416dd7d439571e7b610dd5e23

[ "Apache-2.0" ]

null

classifier/gmm/__init__.py

ecohealthalliance/eha_grit

cb95b759222ca7a416dd7d439571e7b610dd5e23

[ "Apache-2.0" ]

null

from classifier import sklearn_cluster from sklearn.mixture import GMM def classify(train, test): clusterer = GMM() return sklearn_cluster.classify(train, test, clusterer)

17.545455

59

0.73057

23

193

6.043478

0.565217

0.201439

0.244604

0.374101

0

0.202073

193

10

60

19.3

0.902597

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

1

0

null

0

1

0

5

c237f67e8938ad326fe5357d1d23ff64095fc78e

129

py

Python

src/pdf/command/encrypt.py

ichiro-kazusa/PDFCon

529c22145bfd20919b015b5ba70e8bab33feed01

[ "MIT" ]

null

src/pdf/command/encrypt.py

ichiro-kazusa/PDFCon

529c22145bfd20919b015b5ba70e8bab33feed01

[ "MIT" ]

null

src/pdf/command/encrypt.py

ichiro-kazusa/PDFCon

529c22145bfd20919b015b5ba70e8bab33feed01

[ "MIT" ]

null

class EncryptionCommand: """Data Transfer Object for encryption settings""" owner_password: str user_password: str

18.428571

54

0.728682

14

129

6.571429

0.857143

0.23913

0

0.20155

129

6

55

21.5

0.893204

0.341085

0

1

0

true

0.666667

0

1

0

1

0

null

1

0

1

0

null

0

1

0

5

c23d756362fe853fcf0ffa8e02ad2275dd3335ef

171

py

Python

tests/test/plugin/conftest.py

acolytec3/brownie

e00e1f26f5b05e963fe50ffe198634c9e8876589

[ "MIT" ]

null

tests/test/plugin/conftest.py

acolytec3/brownie

e00e1f26f5b05e963fe50ffe198634c9e8876589

[ "MIT" ]

null

tests/test/plugin/conftest.py

acolytec3/brownie

e00e1f26f5b05e963fe50ffe198634c9e8876589

[ "MIT" ]

null

#!/usr/bin/python3 from pathlib import Path import pytest @pytest.fixture def json_path(plugintester): yield Path(plugintester.tmpdir).joinpath("build/tests.json")

17.1

64

0.77193

23

171

5.695652

0.73913

0.244275

0

0.006579

0.111111

171

9

65

19

0.855263

0.099415

0

0.104575

0

1

0.2

false

0

0.4

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

dfe43abe2fc7ff096881ed543a5a5647c8cf00a3

259

py

Python

page/views.py

likelionmju/likelion-camp

12008b1a5df46a27dab272ccb6c3405e9d357931

[ "MIT" ]

null

page/views.py

likelionmju/likelion-camp

12008b1a5df46a27dab272ccb6c3405e9d357931

[ "MIT" ]

8

2021-04-08T21:51:23.000Z

2022-03-12T00:50:22.000Z

page/views.py

likelionmju/likelion-camp

12008b1a5df46a27dab272ccb6c3405e9d357931

[ "MIT" ]

3

2020-07-28T15:03:52.000Z

2021-11-01T10:03:08.000Z

from django.shortcuts import render # Create your views here. def home(request): return render(request, "home.html") def introduce(request): return render(request, 'introduce.html') def parallax(request): return render(request, 'parallax.html')

23.545455

44

0.737452

33

259

5.787879

0.484848

0.204188

0.298429

0.408377

0

0.146718

259

11

45

23.545455

0.864253

0.088803

0

0.153191

0

1

0.428571

false

0

0.142857

0.428571

1

0

null

1

0

null

0

1

0

1

0

5

dffe9fff10d5b77141b4a0fd25229b49efb1222f

85

py

Python

enthought/enable/wx/quartz.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/enable/wx/quartz.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/enable/wx/quartz.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from enable.wx.quartz import *

21.25

38

0.823529

12

85

5.416667

0.75

0

0.129412

85

3

39

28.333333

0.878378

0.141176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dfff5cd81625691478bf71617ab3af731eacfa7f

39

py

Python

version.py

steffann/ansible-junos-stdlib

909b3826f64326d21c7a3b0107be2e7dbc257a6c

[ "Apache-2.0", "BSD-3-Clause" ]

null

version.py

steffann/ansible-junos-stdlib

909b3826f64326d21c7a3b0107be2e7dbc257a6c

[ "Apache-2.0", "BSD-3-Clause" ]

null

version.py

steffann/ansible-junos-stdlib

909b3826f64326d21c7a3b0107be2e7dbc257a6c

[ "Apache-2.0", "BSD-3-Clause" ]

null

VERSION = "2.3.0" DATE = "2019-Dec-13"

13

20

0.589744

8

39

2.875

1

0

0.272727

0.153846

39

2

21

19.5

0.424242

0

0.410256

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

a02475deadec2c1d7a13b1cdb74d71b6ba19f4a8

214

py

Python

src/Controller/ConsoleClock.py

anthonyf996/ChessApp

614f72bc641793681fd5ad7040d6a4c407c9ae9e

[ "MIT" ]

null

src/Controller/ConsoleClock.py

anthonyf996/ChessApp

614f72bc641793681fd5ad7040d6a4c407c9ae9e

[ "MIT" ]

null

src/Controller/ConsoleClock.py

anthonyf996/ChessApp

614f72bc641793681fd5ad7040d6a4c407c9ae9e

[ "MIT" ]

null

from Clock import Clock from time import sleep class ConsoleClock(Clock): def tick(self, fpsKey = "FPS" ): sleep( self.getSeconds( self.fpsSpec[ fpsKey ] ) ) def getSeconds(self, fps): return 1 / fps

21.4

54

0.686916

29

214

5.068966

0.551724

0.190476

0

0.005882

0.205607

214

9

55

23.777778

0.858824

0

0.014019

0

1

0.285714

false

0

0.285714

0.142857

0.857143

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a06adca64ab82d6405c4dbbabecde695aa41c2e6

59

py

Python

utils/my/__init__.py

ruixingw/rxcclib

73036f7a159897e490cd983a256a0a180e3060c3

[ "BSD-3-Clause" ]

1

2019-03-15T03:47:23.000Z

utils/my/__init__.py

ruixingw/rxcclib

73036f7a159897e490cd983a256a0a180e3060c3

[ "BSD-3-Clause" ]

null

utils/my/__init__.py

ruixingw/rxcclib

73036f7a159897e490cd983a256a0a180e3060c3

[ "BSD-3-Clause" ]

2

2021-05-27T10:19:47.000Z

2021-12-02T21:34:59.000Z

from .LTMatrix import LTMatrix from .atomwiseList import *

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a09bcca437271a4e7013f896ce8239372998083d

64

py

Python

concorde/acme/__init__.py

frutiger/concorde

9f5a763bdaf2b8e48636193db39b7fde8209156c

[ "Unlicense" ]

2

2016-03-09T03:54:19.000Z

2016-04-14T09:37:01.000Z

concorde/acme/__init__.py

frutiger/concorde

9f5a763bdaf2b8e48636193db39b7fde8209156c

[ "Unlicense" ]

1

2016-02-28T23:43:14.000Z

concorde/acme/__init__.py

frutiger/concorde

9f5a763bdaf2b8e48636193db39b7fde8209156c

[ "Unlicense" ]

1

2016-02-28T23:25:19.000Z

# concorde.acme from .client import Client, Error, ServerError

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1

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5

a0acf3fc14deb0d155380aab465e58ad7b61cb80

119

py

Python

engine/omega_engine/core/physics/__init__.py

jadsonlucio/Opengl-CG-Project

47b50bf93b8d3a1ccef1f41f22ed3327d9496b8c

[ "MIT" ]

null

engine/omega_engine/core/physics/__init__.py

jadsonlucio/Opengl-CG-Project

47b50bf93b8d3a1ccef1f41f22ed3327d9496b8c

[ "MIT" ]

3

2021-06-08T20:54:18.000Z

2022-03-12T00:13:46.000Z

engine/omega_engine/core/physics/__init__.py

jadsonlucio/Opengl-CG-Project

47b50bf93b8d3a1ccef1f41f22ed3327d9496b8c

[ "MIT" ]

null

from .particle import Particle from .physical_constants import * from .vectors import Vector3D from .world import World

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119

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5

2618b2fdf5af250a03bff766fca00f1f6990eba7

80

py

Python

plusseg/modeling/decoder/__init__.py

tonysy/SegmentationToolbox.PyTorch

4d487dd81d0101bc5cdb7b2337776fdf1b5546ff

[ "MIT" ]

13

2019-07-26T11:33:15.000Z

2021-09-22T06:48:52.000Z

plusseg/modeling/decoder/__init__.py

tonysy/SegmentationToolbox.PyTorch

4d487dd81d0101bc5cdb7b2337776fdf1b5546ff

[ "MIT" ]

1

2018-11-05T14:07:07.000Z

plusseg/modeling/decoder/__init__.py

tonysy/SegmentationToolbox.PyTorch

4d487dd81d0101bc5cdb7b2337776fdf1b5546ff

[ "MIT" ]

2

2019-07-26T11:33:32.000Z

2020-03-04T13:47:50.000Z

from .decoder import build_decoder from .loss import SegmentationLossComputation

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5

261cb871c5daf70f2edb87ff8d7253b42aea0f63

17,266

py

Python

sdk/python/pulumi_aws_native/iotevents/detector_model.py

AaronFriel/pulumi-aws-native

5621690373ac44accdbd20b11bae3be1baf022d1

[ "Apache-2.0" ]

29

2021-09-30T19:32:07.000Z

2022-03-22T21:06:08.000Z

sdk/python/pulumi_aws_native/iotevents/detector_model.py

AaronFriel/pulumi-aws-native

5621690373ac44accdbd20b11bae3be1baf022d1

[ "Apache-2.0" ]

232

2021-09-30T19:26:26.000Z

2022-03-31T23:22:06.000Z

sdk/python/pulumi_aws_native/iotevents/detector_model.py

AaronFriel/pulumi-aws-native

5621690373ac44accdbd20b11bae3be1baf022d1

[ "Apache-2.0" ]

4

2021-11-10T19:42:01.000Z

2022-02-05T10:15:49.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._enums import * from ._inputs import * __all__ = ['DetectorModelArgs', 'DetectorModel'] @pulumi.input_type class DetectorModelArgs: def __init__(__self__, *, detector_model_definition: pulumi.Input['DetectorModelDefinitionArgs'], role_arn: pulumi.Input[str], detector_model_description: Optional[pulumi.Input[str]] = None, detector_model_name: Optional[pulumi.Input[str]] = None, evaluation_method: Optional[pulumi.Input['DetectorModelEvaluationMethod']] = None, key: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input['DetectorModelTagArgs']]]] = None): """ The set of arguments for constructing a DetectorModel resource. :param pulumi.Input[str] role_arn: The ARN of the role that grants permission to AWS IoT Events to perform its operations. :param pulumi.Input[str] detector_model_description: A brief description of the detector model. :param pulumi.Input[str] detector_model_name: The name of the detector model. :param pulumi.Input['DetectorModelEvaluationMethod'] evaluation_method: Information about the order in which events are evaluated and how actions are executed. :param pulumi.Input[str] key: The value used to identify a detector instance. When a device or system sends input, a new detector instance with a unique key value is created. AWS IoT Events can continue to route input to its corresponding detector instance based on this identifying information. This parameter uses a JSON-path expression to select the attribute-value pair in the message payload that is used for identification. To route the message to the correct detector instance, the device must send a message payload that contains the same attribute-value. :param pulumi.Input[Sequence[pulumi.Input['DetectorModelTagArgs']]] tags: An array of key-value pairs to apply to this resource. For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html). """ pulumi.set(__self__, "detector_model_definition", detector_model_definition) pulumi.set(__self__, "role_arn", role_arn) if detector_model_description is not None: pulumi.set(__self__, "detector_model_description", detector_model_description) if detector_model_name is not None: pulumi.set(__self__, "detector_model_name", detector_model_name) if evaluation_method is not None: pulumi.set(__self__, "evaluation_method", evaluation_method) if key is not None: pulumi.set(__self__, "key", key) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="detectorModelDefinition") def detector_model_definition(self) -> pulumi.Input['DetectorModelDefinitionArgs']: return pulumi.get(self, "detector_model_definition") @detector_model_definition.setter def detector_model_definition(self, value: pulumi.Input['DetectorModelDefinitionArgs']): pulumi.set(self, "detector_model_definition", value) @property @pulumi.getter(name="roleArn") def role_arn(self) -> pulumi.Input[str]: """ The ARN of the role that grants permission to AWS IoT Events to perform its operations. """ return pulumi.get(self, "role_arn") @role_arn.setter def role_arn(self, value: pulumi.Input[str]): pulumi.set(self, "role_arn", value) @property @pulumi.getter(name="detectorModelDescription") def detector_model_description(self) -> Optional[pulumi.Input[str]]: """ A brief description of the detector model. """ return pulumi.get(self, "detector_model_description") @detector_model_description.setter def detector_model_description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "detector_model_description", value) @property @pulumi.getter(name="detectorModelName") def detector_model_name(self) -> Optional[pulumi.Input[str]]: """ The name of the detector model. """ return pulumi.get(self, "detector_model_name") @detector_model_name.setter def detector_model_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "detector_model_name", value) @property @pulumi.getter(name="evaluationMethod") def evaluation_method(self) -> Optional[pulumi.Input['DetectorModelEvaluationMethod']]: """ Information about the order in which events are evaluated and how actions are executed. """ return pulumi.get(self, "evaluation_method") @evaluation_method.setter def evaluation_method(self, value: Optional[pulumi.Input['DetectorModelEvaluationMethod']]): pulumi.set(self, "evaluation_method", value) @property @pulumi.getter def key(self) -> Optional[pulumi.Input[str]]: """ The value used to identify a detector instance. When a device or system sends input, a new detector instance with a unique key value is created. AWS IoT Events can continue to route input to its corresponding detector instance based on this identifying information. This parameter uses a JSON-path expression to select the attribute-value pair in the message payload that is used for identification. To route the message to the correct detector instance, the device must send a message payload that contains the same attribute-value. """ return pulumi.get(self, "key") @key.setter def key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['DetectorModelTagArgs']]]]: """ An array of key-value pairs to apply to this resource. For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html). """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['DetectorModelTagArgs']]]]): pulumi.set(self, "tags", value) class DetectorModel(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, detector_model_definition: Optional[pulumi.Input[pulumi.InputType['DetectorModelDefinitionArgs']]] = None, detector_model_description: Optional[pulumi.Input[str]] = None, detector_model_name: Optional[pulumi.Input[str]] = None, evaluation_method: Optional[pulumi.Input['DetectorModelEvaluationMethod']] = None, key: Optional[pulumi.Input[str]] = None, role_arn: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DetectorModelTagArgs']]]]] = None, __props__=None): """ The AWS::IoTEvents::DetectorModel resource creates a detector model. You create a *detector model* (a model of your equipment or process) using *states*. For each state, you define conditional (Boolean) logic that evaluates the incoming inputs to detect significant events. When an event is detected, it can change the state or trigger custom-built or predefined actions using other AWS services. You can define additional events that trigger actions when entering or exiting a state and, optionally, when a condition is met. For more information, see [How to Use AWS IoT Events](https://docs.aws.amazon.com/iotevents/latest/developerguide/how-to-use-iotevents.html) in the *AWS IoT Events Developer Guide*. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] detector_model_description: A brief description of the detector model. :param pulumi.Input[str] detector_model_name: The name of the detector model. :param pulumi.Input['DetectorModelEvaluationMethod'] evaluation_method: Information about the order in which events are evaluated and how actions are executed. :param pulumi.Input[str] key: The value used to identify a detector instance. When a device or system sends input, a new detector instance with a unique key value is created. AWS IoT Events can continue to route input to its corresponding detector instance based on this identifying information. This parameter uses a JSON-path expression to select the attribute-value pair in the message payload that is used for identification. To route the message to the correct detector instance, the device must send a message payload that contains the same attribute-value. :param pulumi.Input[str] role_arn: The ARN of the role that grants permission to AWS IoT Events to perform its operations. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DetectorModelTagArgs']]]] tags: An array of key-value pairs to apply to this resource. For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html). """ ... @overload def __init__(__self__, resource_name: str, args: DetectorModelArgs, opts: Optional[pulumi.ResourceOptions] = None): """ The AWS::IoTEvents::DetectorModel resource creates a detector model. You create a *detector model* (a model of your equipment or process) using *states*. For each state, you define conditional (Boolean) logic that evaluates the incoming inputs to detect significant events. When an event is detected, it can change the state or trigger custom-built or predefined actions using other AWS services. You can define additional events that trigger actions when entering or exiting a state and, optionally, when a condition is met. For more information, see [How to Use AWS IoT Events](https://docs.aws.amazon.com/iotevents/latest/developerguide/how-to-use-iotevents.html) in the *AWS IoT Events Developer Guide*. :param str resource_name: The name of the resource. :param DetectorModelArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(DetectorModelArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, detector_model_definition: Optional[pulumi.Input[pulumi.InputType['DetectorModelDefinitionArgs']]] = None, detector_model_description: Optional[pulumi.Input[str]] = None, detector_model_name: Optional[pulumi.Input[str]] = None, evaluation_method: Optional[pulumi.Input['DetectorModelEvaluationMethod']] = None, key: Optional[pulumi.Input[str]] = None, role_arn: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DetectorModelTagArgs']]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = DetectorModelArgs.__new__(DetectorModelArgs) if detector_model_definition is None and not opts.urn: raise TypeError("Missing required property 'detector_model_definition'") __props__.__dict__["detector_model_definition"] = detector_model_definition __props__.__dict__["detector_model_description"] = detector_model_description __props__.__dict__["detector_model_name"] = detector_model_name __props__.__dict__["evaluation_method"] = evaluation_method __props__.__dict__["key"] = key if role_arn is None and not opts.urn: raise TypeError("Missing required property 'role_arn'") __props__.__dict__["role_arn"] = role_arn __props__.__dict__["tags"] = tags super(DetectorModel, __self__).__init__( 'aws-native:iotevents:DetectorModel', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None) -> 'DetectorModel': """ Get an existing DetectorModel resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = DetectorModelArgs.__new__(DetectorModelArgs) __props__.__dict__["detector_model_definition"] = None __props__.__dict__["detector_model_description"] = None __props__.__dict__["detector_model_name"] = None __props__.__dict__["evaluation_method"] = None __props__.__dict__["key"] = None __props__.__dict__["role_arn"] = None __props__.__dict__["tags"] = None return DetectorModel(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="detectorModelDefinition") def detector_model_definition(self) -> pulumi.Output['outputs.DetectorModelDefinition']: return pulumi.get(self, "detector_model_definition") @property @pulumi.getter(name="detectorModelDescription") def detector_model_description(self) -> pulumi.Output[Optional[str]]: """ A brief description of the detector model. """ return pulumi.get(self, "detector_model_description") @property @pulumi.getter(name="detectorModelName") def detector_model_name(self) -> pulumi.Output[Optional[str]]: """ The name of the detector model. """ return pulumi.get(self, "detector_model_name") @property @pulumi.getter(name="evaluationMethod") def evaluation_method(self) -> pulumi.Output[Optional['DetectorModelEvaluationMethod']]: """ Information about the order in which events are evaluated and how actions are executed. """ return pulumi.get(self, "evaluation_method") @property @pulumi.getter def key(self) -> pulumi.Output[Optional[str]]: """ The value used to identify a detector instance. When a device or system sends input, a new detector instance with a unique key value is created. AWS IoT Events can continue to route input to its corresponding detector instance based on this identifying information. This parameter uses a JSON-path expression to select the attribute-value pair in the message payload that is used for identification. To route the message to the correct detector instance, the device must send a message payload that contains the same attribute-value. """ return pulumi.get(self, "key") @property @pulumi.getter(name="roleArn") def role_arn(self) -> pulumi.Output[str]: """ The ARN of the role that grants permission to AWS IoT Events to perform its operations. """ return pulumi.get(self, "role_arn") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Sequence['outputs.DetectorModelTag']]]: """ An array of key-value pairs to apply to this resource. For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html). """ return pulumi.get(self, "tags")

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5

262407a53fb3fac1f8e3a5944294c32681eccfd1

142

py

Python

src/util/__init__.py

bobbyluig/6.A01

16dd8963951eca4a1312a15c216d0cc3c117d063

[ "MIT" ]

null

src/util/__init__.py

bobbyluig/6.A01

16dd8963951eca4a1312a15c216d0cc3c117d063

[ "MIT" ]

null

src/util/__init__.py

bobbyluig/6.A01

16dd8963951eca4a1312a15c216d0cc3c117d063

[ "MIT" ]

1

2021-02-24T07:13:01.000Z

from .logger import logger, logging_queue from .reconnect import ApplicationRunner __all__ = ['logger', 'logging_queue', 'ApplicationRunner']

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2625a489d75acfe89606ec201b2b2a7c206463b5

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py

Python

pcanet/__init__.py

dianlujitao/PCANet_pytorch

358d3f82909279722c9ce0cd0688573e4c86a405

[ "MIT" ]

4

2019-04-15T16:56:14.000Z

2021-08-03T13:03:15.000Z

pcanet/__init__.py

MoetaYuko/PCANet_pytorch

358d3f82909279722c9ce0cd0688573e4c86a405

[ "MIT" ]

null

pcanet/__init__.py

MoetaYuko/PCANet_pytorch

358d3f82909279722c9ce0cd0688573e4c86a405

[ "MIT" ]

3

2019-04-12T14:59:39.000Z

2019-10-05T07:37:19.000Z

from .pcanet import *

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22

5.333333

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0.181818

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1

22

0.888889

0

1

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263c664ae69c4e2016e74613413e9417172aa318

36

py

Python

Chapter 01/Chap01_Example1.56.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 01/Chap01_Example1.56.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 01/Chap01_Example1.56.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

# subtraction operator print(a-b)

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py

Python

packages/watchmen-dqc/src/watchmen_dqc/topic_profile/__init__.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

packages/watchmen-dqc/src/watchmen_dqc/topic_profile/__init__.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

packages/watchmen-dqc/src/watchmen_dqc/topic_profile/__init__.py

Indexical-Metrics-Measure-Advisory/watchmen

c54ec54d9f91034a38e51fd339ba66453d2c7a6d

[ "MIT" ]

null

from .topic_profile_service import TopicProfileService

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0

1

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1

0

5

267e53ba04971713b1442cd3c3bf87086020c71c

2,080

py

Python

test.py

EricQAQ/Flask-Redis-Session

555084ae89bb117273d423a10df37be392ed24a6

[ "MIT" ]

14

2015-06-22T03:52:40.000Z

2019-01-17T23:01:23.000Z

test.py

EricQAQ/Flask-RedisSession

555084ae89bb117273d423a10df37be392ed24a6

[ "MIT" ]

2

2015-06-21T17:04:22.000Z

2019-02-17T11:07:10.000Z

test.py

EricQAQ/Flask-Redis-Session

555084ae89bb117273d423a10df37be392ed24a6

[ "MIT" ]

4

2015-11-16T03:33:08.000Z

2017-04-26T08:36:49.000Z

__author__ = 'Eric' from flask import Flask, session, request from flask_redisSession import RedisSession from datetime import timedelta import unittest ''' app = Flask(__name__) app.config['PERMANENT_SESSION_LIFETIME'] = timedelta(seconds=40) RedisSession(app) print('++++++++++++++++++++++++++++') print(app.config['PERMANENT_SESSION_LIFETIME']) print('++++++++++++++++++++++++++++') ''' class FlaskRedisSessionTestClass(unittest.TestCase): def test_redis_session_secret_key(self): app = Flask(__name__) app.config['PERMANENT_SESSION_LIFETIME'] = timedelta(seconds=10) app.config['SECRET_KEY'] = '12345' RedisSession(app) @app.route('/set', methods=['POST']) def set(): session['This is a test'] = request.form['This is a test'] return 'A test!' @app.route('/get') def get(): return session['This is a test'] @app.route('/delete', methods=['POST']) def delete(): del session['This is a test'] return 'The test deleted' c = app.test_client() self.assertEqual(c.post('/set', data={'This is a test': 'Eric'}).data, b'A test!') self.assertEqual(c.get('/get').data, b'Eric') c.post('/delete') def test_redis_session_no_secret_key(self): app = Flask(__name__) app.config['USE_SECRET_KEY'] = False RedisSession(app) @app.route('/set', methods=['POST']) def set(): session['This is a test'] = request.form['This is a test'] return 'A test!' @app.route('/get') def get(): return session['This is a test'] @app.route('/delete', methods=['POST']) def delete(): del session['This is a test'] return 'The test deleted' c = app.test_client() self.assertEqual(c.post('/set', data={'This is a test': 'Eric'}).data, b'A test!') self.assertEqual(c.get('/get').data, b'Eric') c.post('/delete') if __name__ == "__main__": unittest.main()

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cd20804047cc71b5324235fcac99f45f0cd96873

102

py

Python

apps/taiga/back/django/taiga/taiga_contrib_github_extended_auth/__init__.py

stephenhillier/openshift-components

d275f595b9f7aa3c86826376985f805fe26b4ade

[ "Apache-2.0" ]

9

2018-03-22T15:58:32.000Z

2021-12-10T20:49:39.000Z

apps/taiga/back/django/taiga/taiga_contrib_github_extended_auth/__init__.py

stephenhillier/openshift-components

d275f595b9f7aa3c86826376985f805fe26b4ade

[ "Apache-2.0" ]

28

2018-03-20T21:28:24.000Z

2020-11-26T22:14:23.000Z

apps/taiga/back/django/taiga/taiga_contrib_github_extended_auth/__init__.py

stephenhillier/openshift-components

d275f595b9f7aa3c86826376985f805fe26b4ade

[ "Apache-2.0" ]

28

2018-03-22T16:06:09.000Z

2021-03-21T06:29:14.000Z

default_app_config = "taiga.taiga_contrib_github_extended_auth.apps.TaigaGithubExtendedAuthAppConfig"

51

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1

null

0

5

cd27d7b0e32b8a454e5b0d84214943269e6d6d06

207

py

Python

src/httpx_html/__init__.py

nuno-andre/requests-html

f8207ab4d50793f677e2b388a8f4ca27b4cc1d06

[ "MIT" ]

2

2022-01-09T14:59:38.000Z

2022-03-16T20:56:07.000Z

src/httpx_html/__init__.py

nuno-andre/requests-html

f8207ab4d50793f677e2b388a8f4ca27b4cc1d06

[ "MIT" ]

1

2022-01-15T23:55:23.000Z

src/httpx_html/__init__.py

nuno-andre/httpx-html

f8207ab4d50793f677e2b388a8f4ca27b4cc1d06

[ "MIT" ]

null

from .parse import HTML, Element from .session import HTMLSession, AsyncHTMLSession, user_agent __version__ = 0, 11, 0, 'dev1' __all__ = ['HTML', 'Element', 'HTMLSession', 'AsyncHTMLSession', 'user_agent']

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cd47e3b7ad2ac77f3d71a6c6c4af7f12ead40c26

28,161

py

Python

Scripts/sims4communitylib/utils/sims/common_relationship_utils.py

ColonolNutty/Sims4CommunityLibrary

684f28dc3c7deb4d9fd520e21e63942b65a91d31

[ "CC-BY-4.0" ]

118

2019-08-31T04:33:18.000Z

2022-03-28T21:12:14.000Z

Scripts/sims4communitylib/utils/sims/common_relationship_utils.py

ColonolNutty/Sims4CommunityLibrary

684f28dc3c7deb4d9fd520e21e63942b65a91d31

[ "CC-BY-4.0" ]

15

2019-12-05T01:29:46.000Z

2022-02-18T17:13:46.000Z

Scripts/sims4communitylib/utils/sims/common_relationship_utils.py

ColonolNutty/Sims4CommunityLibrary

684f28dc3c7deb4d9fd520e21e63942b65a91d31

[ "CC-BY-4.0" ]

28

2019-09-07T04:11:05.000Z

2022-02-07T18:31:40.000Z

""" The Sims 4 Community Library is licensed under the Creative Commons Attribution 4.0 International public license (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/legalcode Copyright (c) COLONOLNUTTY """ from typing import Iterator, Union from server_commands.argument_helpers import OptionalTargetParam from sims.sim_info import SimInfo from sims4.commands import Command, CommandType, CheatOutput from sims4.resources import Types from sims4communitylib.enums.relationship_bits_enum import CommonRelationshipBitId from sims4communitylib.enums.relationship_tracks_enum import CommonRelationshipTrackId from sims4communitylib.modinfo import ModInfo from sims4communitylib.utils.common_log_registry import CommonLogRegistry from sims4communitylib.utils.common_resource_utils import CommonResourceUtils from sims4communitylib.utils.sims.common_sim_name_utils import CommonSimNameUtils from sims4communitylib.utils.sims.common_sim_utils import CommonSimUtils from sims4communitylib.utils.sims.common_species_utils import CommonSpeciesUtils class CommonRelationshipUtils: """Utilities for manipulating relationship bits, tracks, etc. """ @staticmethod def has_met(sim_info: SimInfo, target_sim_info: SimInfo) -> bool: """has_met(sim_info, target_sim_info) Determine if a Sim has met the Target Sim. :param sim_info: The Sim to check. :type sim_info: SimInfo :param target_sim_info: The Target Sim to check. :type target_sim_info: SimInfo :return: True, if both Sims have met each other. False, if not. :rtype: bool """ return CommonRelationshipUtils.has_relationship_bit_with_sim(sim_info, target_sim_info, CommonRelationshipBitId.HAS_MET) @staticmethod def are_blood_relatives(sim_info_a: SimInfo, sim_info_b: SimInfo) -> bool: """are_blood_relatives(sim_info_a, sim_info_b) Determine if two Sims are blood relatives. :param sim_info_a: An instance of a Sim. :type sim_info_a: SimInfo :param sim_info_b: An instance of a Sim. :type sim_info_b: SimInfo :return: True, if Sim A is blood relative of Sim B. False, if not. :rtype: bool """ if sim_info_a is None or sim_info_b is None: return False return not sim_info_a.incest_prevention_test(sim_info_b) @staticmethod def is_romantically_committed_to_any_sims(sim_info: SimInfo) -> bool: """is_romantically_committed_to_any_sims(sim_info) Determine if the Sim is romantically committed to any Sims. :param sim_info: The Sim to check. :type sim_info: SimInfo :return: True, if the Sim is romantically committed to any Sims. False, if not. :rtype: bool """ return any(CommonRelationshipUtils.get_sim_info_of_all_sims_romantically_committed_to_generator(sim_info)) @staticmethod def is_romantically_committed_to(sim_info: SimInfo, target_sim_info: SimInfo) -> bool: """is_romantically_committed_to(sim_info, target_sim_info) Determine if a Sim is romantically committed to the Target Sim. :param sim_info: The Sim to check. :type sim_info: SimInfo :param target_sim_info: The Target Sim to check. :type target_sim_info: SimInfo :return: True, if the Sim is romantically committed to the Target Sim. False, if not. :rtype: bool """ return target_sim_info in CommonRelationshipUtils.get_sim_info_of_all_sims_romantically_committed_to_generator(sim_info) @staticmethod def get_friendship_level(sim_info: SimInfo, target_sim_info: SimInfo) -> float: """get_friendship_level(sim_info, target_sim_info) Retrieve the level of Friendship between two Sims. :param sim_info: The Sim to use. :type sim_info: SimInfo :param target_sim_info: The Target Sim to use. :type target_sim_info: SimInfo :return: The current level of friendship between two Sims. :rtype: float """ track_id = CommonRelationshipUtils._determine_friendship_track(sim_info, target_sim_info) if track_id == -1: return -1.0 return CommonRelationshipUtils.get_relationship_level_of_sims(sim_info, target_sim_info, track_id) @staticmethod def get_romance_level(sim_info: SimInfo, target_sim_info: SimInfo) -> float: """get_romance_level(sim_info, target_sim_info) Retrieve the level of Romance between two Sims. :param sim_info: The Sim to use. :type sim_info: SimInfo :param target_sim_info: The Target Sim to use. :type target_sim_info: SimInfo :return: The current level of romance between two Sims. :rtype: float """ track_id = CommonRelationshipUtils._determine_romance_track(sim_info, target_sim_info) if track_id == -1: return -1.0 return CommonRelationshipUtils.get_relationship_level_of_sims(sim_info, target_sim_info, track_id) @staticmethod def calculate_average_relationship_level(sim_info: SimInfo, target_sim_info: SimInfo) -> float: """calculate_average_relationship_level(sim_info, target_sim_info) Calculate an average level for Friendship and Romance between two Sims. .. note:: Math: (Friendship Level + Romance Level)/2 .. note:: Example Levels: Friendship Level: 10 Romance Level: 20 Average: 15 :param sim_info: The Sim to use. :type sim_info: SimInfo :param target_sim_info: The Target Sim to use. :type target_sim_info: SimInfo :return: The average level of friendship and romance between two Sims. :rtype: float """ return (CommonRelationshipUtils.get_friendship_level(sim_info, target_sim_info) + CommonRelationshipUtils.get_romance_level(sim_info, target_sim_info)) / 2 @staticmethod def has_relationship_bit_with_any_sims(sim_info: SimInfo, relationship_bit_id: Union[int, CommonRelationshipBitId], instanced_only: bool=True) -> bool: """has_relationship_bit_with_any_sims(sim_info, relationship_bit_id, instance_only=True) Determine if a Sim has the specified relationship bit with any Sims. :param sim_info: The Sim to use. :type sim_info: SimInfo :param relationship_bit_id: The identifier of the Relationship Bit to check for. :type relationship_bit_id: Union[int, CommonRelationshipBitId] :param instanced_only: If True, only Sims that are currently loaded will be valid. :type instanced_only: bool, optional :return: True, if the Sim has the specified Relationship Bit with any Sims. False, if not. :rtype: bool """ return any(CommonRelationshipUtils.get_sim_info_of_all_sims_with_relationship_bit_generator(sim_info, relationship_bit_id, instanced_only=instanced_only)) @staticmethod def has_relationship_bits_with_any_sims(sim_info: SimInfo, relationship_bit_ids: Iterator[int], instanced_only: bool=True) -> bool: """has_relationship_bits_with_any_sims(sim_info, relationship_bit_ids, instanced_only=True) Determine if a Sim has the specified relationship bits with any Sims. :param sim_info: The Sim to use. :type sim_info: SimInfo :param relationship_bit_ids: A collection of identifier of Relationship Bits to check for. :type relationship_bit_ids: int :param instanced_only: If True, only Sims that are currently loaded will be valid. :type instanced_only: bool, optional :return: True, if the Sim has any of the specified Relationship Bits with any Sims. False, if not. :rtype: bool """ return any(CommonRelationshipUtils.get_sim_info_of_all_sims_with_relationship_bits_generator(sim_info, relationship_bit_ids, instanced_only=instanced_only)) @staticmethod def has_relationship_bit_with_sim( sim_info: SimInfo, target_sim_info: SimInfo, relationship_bit_id: Union[int, CommonRelationshipBitId], ) -> bool: """has_relationship_bit_with_sim(sim_info, target_sim_info, relationship_bit_id) Determine if two Sims have the specified relationship bit with each other. :param sim_info: The Sim to check. :type sim_info: SimInfo :param target_sim_info: The Target Sim of the relationship bit (The target is especially important for Unidirectional/One Way Relationship Bits). :type target_sim_info: SimInfo :param relationship_bit_id: The identifier of the Relationship Bit to check for. :type relationship_bit_id: Union[int, CommonRelationshipBitId] :return: True, if the Sim has the specified Relationship Bit with the Target Sim. False, if not. :rtype: bool """ return CommonRelationshipUtils.has_relationship_bits_with_sim(sim_info, target_sim_info, (relationship_bit_id,)) @staticmethod def has_relationship_bits_with_sim( sim_info: SimInfo, target_sim_info: SimInfo, relationship_bit_ids: Iterator[Union[int, CommonRelationshipBitId]], ) -> bool: """has_relationship_bits_with_sim(sim_info, target_sim_info, relationship_bit_ids) Determine if two sims have any of the specified relationship bits with each other. :param sim_info: The Sim to check. :type sim_info: SimInfo :param target_sim_info: The Target Sim of the relationship bit (The target is especially important for Unidirectional/One Way Relationship Bits). :type target_sim_info: SimInfo :param relationship_bit_ids: A collection of identifier of Relationship Bits to check for. :type relationship_bit_ids: Iterator[Union[int, CommonRelationshipBitId]] :return: True, if the Sim has any of the specified Relationship Bits with the Target Sim. False, if not. :rtype: bool """ target_sim_id = CommonSimUtils.get_sim_id(target_sim_info) relationship_bits = sim_info.relationship_tracker.get_all_bits(target_sim_id) for relationship_bit in relationship_bits: relationship_bit_id = getattr(relationship_bit, 'guid64', None) if relationship_bit_id in relationship_bit_ids: return True return False @staticmethod def get_relationship_level_of_sims( sim_info: SimInfo, target_sim_info: SimInfo, relationship_track_id: Union[int, CommonRelationshipTrackId] ) -> float: """get_relationship_level_of_sims(sim_info, target_sim_info, relationship_track_id) Retrieve the level of a relationship track between two sims. :param sim_info: The Sim to check. :type sim_info: SimInfo :param target_sim_info: The Target Sim of the relationship track. :type target_sim_info: SimInfo :param relationship_track_id: An identifier for a Relationship Track to retrieve. :type relationship_track_id: Union[int, CommonRelationshipTrackId] :return: The current level between two Sims for the specified Relationship Track. :rtype: float """ relationship_track = CommonResourceUtils.load_instance(Types.STATISTIC, relationship_track_id) if relationship_track is None: return 0.0 target_sim_id = CommonSimUtils.get_sim_id(target_sim_info) return sim_info.relationship_tracker.get_relationship_score(target_sim_id, relationship_track) @staticmethod def change_relationship_level_of_sims( sim_info: SimInfo, target_sim_info: SimInfo, relationship_track_id: Union[int, CommonRelationshipTrackId], level: float ) -> bool: """change_relationship_level_of_sims(sim_info, target_sim_info, relationship_track_id, level) Change the level of a relationship track between two Sims. :param sim_info: The sim that owns the relationship track. :type sim_info: SimInfo :param target_sim_info: The target of the relationship track. :type target_sim_info: SimInfo :param relationship_track_id: The identifier of the Relationship Track to change. :type relationship_track_id: : Union[int, CommonRelationshipTrackId] :param level: The amount to add to the relationship track (Can be positive or negative). :type level: float :return: True, if the relationship track was changed successfully. False, if not. :rtype: bool """ relationship_track = CommonResourceUtils.load_instance(Types.STATISTIC, relationship_track_id) if relationship_track is None: return False target_sim_id = CommonSimUtils.get_sim_id(target_sim_info) sim_info.relationship_tracker.add_relationship_score(target_sim_id, level, relationship_track) return True @staticmethod def set_relationship_level_of_sims( sim_info: SimInfo, target_sim_info: SimInfo, relationship_track_id: Union[int, CommonRelationshipTrackId], level: float ) -> bool: """set_relationship_level_of_sims(sim_info, target_sim_info, relationship_track_id, level) Set the level of a relationship track between two Sims. :param sim_info: The sim that owns the relationship track. :type sim_info: SimInfo :param target_sim_info: The target of the relationship track. :type target_sim_info: SimInfo :param relationship_track_id: The identifier of the Relationship Track to set. :type relationship_track_id: : Union[int, CommonRelationshipTrackId] :param level: The amount to set the relationship track to (Can be positive or negative). :type level: float :return: True, if the relationship track was set successfully. False, if not. :rtype: bool """ relationship_track = CommonResourceUtils.load_instance(Types.STATISTIC, relationship_track_id) if relationship_track is None: return False target_sim_id = CommonSimUtils.get_sim_id(target_sim_info) sim_info.relationship_tracker.set_relationship_score(target_sim_id, level, relationship_track) return True @staticmethod def add_relationship_bit( sim_info: SimInfo, target_sim_info: SimInfo, relationship_bit_id: Union[int, CommonRelationshipBitId] ) -> bool: """add_relationship_bit(sim_info, target_sim_info, relationship_bit_id) Add a relationship bit between two sims. .. note:: If the relationship bit is UNIDIRECTIONAL, it will only be added to sim_info in the direction of the Target. i.e. Sim will have relationship bit towards Target, but Target will not have relationship bit towards Sim. One example is the Caregiver relationship: - Sim is caregiver of Target. - Target is being cared for by Sim. :param sim_info: The source Sim of the Relationship Bit. :type sim_info: SimInfo :param target_sim_info: The target Sim of the Relationship Bit. :type target_sim_info: SimInfo :param relationship_bit_id: The identifier of the Relationship Bit to add. :type relationship_bit_id: Union[int, CommonRelationshipBitId] :return: True, if the relationship bit was added successfully. False, if not. :rtype: bool """ relationship_bit_instance = CommonResourceUtils.load_instance(Types.RELATIONSHIP_BIT, relationship_bit_id) if relationship_bit_instance is None: return False target_sim_id = CommonSimUtils.get_sim_id(target_sim_info) sim_info.relationship_tracker.add_relationship_bit(target_sim_id, relationship_bit_instance) return True @staticmethod def remove_relationship_bit( sim_info: SimInfo, target_sim_info: SimInfo, relationship_bit_id: Union[int, CommonRelationshipBitId] ) -> bool: """remove_relationship_bit(sim_info, target_sim_info, relationship_bit_id) Remove a relationship bit between two sims. .. note:: If the relationship bit is UNIDIRECTIONAL, it will only be removed from sim_info in the direction of the Target. i.e. Sim will have no longer have relationship bit towards Target, but Target will still have relationship bit towards Sim. One example is the Caregiver relationship: - Sim is caregiver of Target. - Target is being cared for by Sim. :param sim_info: The source Sim of the Relationship Bit. :type sim_info: SimInfo :param target_sim_info: The target Sim of the Relationship Bit. :type target_sim_info: SimInfo :param relationship_bit_id: The identifier of the Relationship Bit to remove. :type relationship_bit_id: Union[int, CommonRelationshipBitId] :return: True, if the relationship bit was removed successfully. False, if not. :rtype: bool """ relationship_bit_instance = CommonResourceUtils.load_instance(Types.RELATIONSHIP_BIT, relationship_bit_id) if relationship_bit_instance is None: return False target_sim_id = CommonSimUtils.get_sim_id(target_sim_info) sim_info.relationship_tracker.remove_relationship_bit(target_sim_id, relationship_bit_instance) return True @staticmethod def get_sim_info_of_all_sims_with_relationship_bit_generator(sim_info: SimInfo, relationship_bit_id: Union[int, CommonRelationshipBitId], instanced_only: bool=True) -> Iterator[SimInfo]: """get_sim_info_of_all_sims_with_relationship_bit_generator(sim_info, relationship_bit_id, instanced_only=True) Retrieve an Iterator of SimInfo for all Sims that have the specified relationship bit with the specified Sim. .. note:: For UNIDIRECTIONAL relationship bits, the direction is sim_info has relationship bit with target_sim_info Caregiver example: - The Caregiver has a relationship bit pointed at Toddler (The Caregiver would show "caregiving ward" when hovering over the Toddler in the relationships panel) - The Toddler would NOT have the relationship bit. - Sim is Caregiver of Toddler. :param sim_info: The Sim to locate the relationship bit on. :type sim_info: SimInfo :param relationship_bit_id: The identifier of the relationship bit to locate connections with. :type relationship_bit_id: Union[int, CommonRelationshipBitId] :param instanced_only: If True, only Sims that are currently loaded will be returned. :type instanced_only: bool, optional :return: An iterable of Sims that have the specified relationship bit with the specified Sim. :rtype: Iterator[SimInfo] """ return CommonRelationshipUtils.get_sim_info_of_all_sims_with_relationship_bits_generator(sim_info, (relationship_bit_id, ), instanced_only=instanced_only) @staticmethod def get_sim_info_of_all_sims_with_relationship_bits_generator(sim_info: SimInfo, relationship_bit_ids: Iterator[Union[int, CommonRelationshipBitId]], instanced_only: bool=True) -> Iterator[SimInfo]: """get_sim_info_of_all_sims_with_relationship_bits_generator(sim_info, relationship_bit_ids, instanced_only=True) Retrieve an Iterator of SimInfo for all Sims that have the specified relationship bits with the specified Sim. .. note:: For UNIDIRECTIONAL relationship bits, the direction is sim_info has relationship bit with target_sim_info Caregiver example: - The Caregiver has a relationship bit pointed at Toddler (The Caregiver would show "caregiving ward" when hovering over the toddler in the relationships panel) - The toddler would NOT have the relationship bit. - Sim is Caregiver of Toddler. :param sim_info: The Sim to locate relationship bits on. :type sim_info: SimInfo :param relationship_bit_ids: A collection of identifiers for relationship bits to locate connections with. :type relationship_bit_ids: Iterator[Union[int, CommonRelationshipBitId]] :param instanced_only: If True, only Sims that are currently loaded will be returned. :type instanced_only: bool, optional :return: An iterable of Sims that have any of the specified relationship bits with the specified Sim. :rtype: Iterator[SimInfo] """ if sim_info is None: return tuple() sim_id = CommonSimUtils.get_sim_id(sim_info) for relationship in sim_info.relationship_tracker: if relationship.sim_id_a != sim_id: target_sim_id = relationship.sim_id_a else: target_sim_id = relationship.sim_id_b target_sim_info = CommonSimUtils.get_sim_info(target_sim_id) if target_sim_info is None: continue if instanced_only and CommonSimUtils.get_sim_instance(target_sim_info) is None: continue for relationship_bit_id in relationship_bit_ids: relationship_bit_instance = CommonResourceUtils.load_instance(Types.RELATIONSHIP_BIT, relationship_bit_id) if relationship_bit_instance is None: continue if relationship.has_bit(sim_id, relationship_bit_instance): yield target_sim_info break @staticmethod def has_positive_romantic_combo_relationship_bit_with(sim_info: SimInfo, target_sim_info: SimInfo) -> bool: """has_positive_romantic_combo_relationship_bit_with(sim_info, target_sim_info) Determine if a Sim has a positive romantic combo with the Target Sim. .. note:: Positive Romantic Combo Relationship Bits: - Soul Mates - Lovers - Sweethearts - Love Birds :param sim_info: The Sim to check. :type sim_info: SimInfo :param target_sim_info: The Target Sim to check. :type target_sim_info: SimInfo :return: True, if the Sims have positive romantic combo relationship bits with each other. False, if not. :rtype: bool """ return CommonRelationshipUtils.has_relationship_bits_with_sim(sim_info, target_sim_info, ( CommonRelationshipBitId.ROMANTIC_COMBO_SOUL_MATES, CommonRelationshipBitId.ROMANTIC_COMBO_LOVERS, CommonRelationshipBitId.ROMANTIC_COMBO_SWEETHEARTS, CommonRelationshipBitId.ROMANTIC_COMBO_LOVEBIRDS )) @staticmethod def get_sim_info_of_all_sims_romantically_committed_to_generator(sim_info: SimInfo, instanced_only: bool=True) -> Iterator[SimInfo]: """get_sim_info_of_all_sims_romantically_committed_to_generator(sim_info, instanced_only=True) Retrieve a SimInfo object for all Sims romantically committed with the specified Sim. .. note:: Romantic Commitments: - Married - Getting Married - Engaged - Significant Other :param sim_info: The Sim to locate romantically involved Sims with. :type sim_info: SimInfo :param instanced_only: If True, only Sims that are currently loaded will be returned. :type instanced_only: bool, optional :return: An iterable of Sims the specified Sim is romantically committed to. :rtype: Iterator[SimInfo] """ romance_relationship_ids = ( CommonRelationshipBitId.ROMANTIC_MARRIED, CommonRelationshipBitId.ROMANTIC_GETTING_MARRIED, CommonRelationshipBitId.ROMANTIC_ENGAGED, CommonRelationshipBitId.ROMANTIC_SIGNIFICANT_OTHER ) for target_sim_info in CommonRelationshipUtils.get_sim_info_of_all_sims_with_relationship_bits_generator(sim_info, romance_relationship_ids, instanced_only=instanced_only): yield target_sim_info @staticmethod def _determine_friendship_track(sim_info_a: SimInfo, sim_info_b: SimInfo) -> Union[CommonRelationshipTrackId, int]: if CommonSpeciesUtils.is_human(sim_info_a): if CommonSpeciesUtils.is_animal(sim_info_b): return CommonRelationshipTrackId.SIM_TO_PET_FRIENDSHIP elif CommonSpeciesUtils.is_human(sim_info_b): return CommonRelationshipTrackId.FRIENDSHIP elif CommonSpeciesUtils.is_animal(sim_info_a): if CommonSpeciesUtils.is_animal(sim_info_b): return -1 elif CommonSpeciesUtils.is_human(sim_info_b): return CommonRelationshipTrackId.SIM_TO_PET_FRIENDSHIP return -1 @staticmethod def _determine_romance_track(sim_info_a: SimInfo, sim_info_b: SimInfo) -> Union[CommonRelationshipTrackId, int]: if CommonSpeciesUtils.is_human(sim_info_a) and CommonSpeciesUtils.is_human(sim_info_b): return CommonRelationshipTrackId.ROMANCE return -1 log = CommonLogRegistry().register_log(ModInfo.get_identity(), 'common_relationship_commands') log.enable() @Command('s4clib.print_relationship_bits', command_type=CommandType.Live) def _common_print_relationship_bits(opt_sim: OptionalTargetParam=None, _connection: int=None): from server_commands.argument_helpers import get_optional_target output = CheatOutput(_connection) sim_info = CommonSimUtils.get_sim_info(get_optional_target(opt_sim, _connection)) if sim_info is None: output('Failed, no Sim was specified or the specified Sim was not found!') return output('Printing relationships of Sim {}'.format(CommonSimNameUtils.get_full_name(sim_info))) sim_id_a = CommonSimUtils.get_sim_id(sim_info) text = '' for relationship in sim_info.relationship_tracker: sim_info_b = relationship.get_other_sim_info(sim_id_a) try: sim_a_name = CommonSimNameUtils.get_full_name(sim_info) sim_b_name = CommonSimNameUtils.get_full_name(sim_info_b) bi_direction_bits = relationship._bi_directional_relationship_data._bits inner_text = '\n---------------------Relationship ({} to {})---------------------'.format(sim_a_name, sim_b_name) if bi_direction_bits: inner_text += '\n Bi-Directional Bits:' for (key, value) in bi_direction_bits.items(): bit_type = type(value) inner_text += '\n - {} ({})'.format(key.__name__, bit_type.__mro__[1].__name__) inner_text += '\n' sim_a_relationship_bits = relationship._sim_a_relationship_data._bits if sim_a_relationship_bits: inner_text += '\n Unidirectional Bits Sim A (What {} is to {}):'.format(sim_b_name, sim_a_name) for (key, value) in sim_a_relationship_bits.items(): bit_type = type(value) inner_text += '\n - {} ({})'.format(key.__name__, bit_type.__mro__[1].__name__) inner_text += '\n' sim_b_relationship_bits = relationship._sim_b_relationship_data._bits if sim_b_relationship_bits: inner_text += '\n Unidirectional Bits Sim B (What {} is to {}):'.format(sim_a_name, sim_b_name) for (key, value) in sim_b_relationship_bits.items(): bit_type = type(value) inner_text += '\n - {} ({})'.format(key.__name__, bit_type.__mro__[1].__name__) inner_text += '\n' output(inner_text) text += inner_text except Exception as ex: output('An error occurred {}'.format(ex)) log.format_error_with_message('Failed to print relationships', sim_info_b=sim_info_b, exception=ex) log.debug(text) output('Done')

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modules/__init__.py

ongzhixian/python-apps

11a0d0ce656a7e9d7bdff18dd29feaa2bb436ae6

[ "MIT" ]

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modules/__init__.py

ongzhixian/python-apps

11a0d0ce656a7e9d7bdff18dd29feaa2bb436ae6

[ "MIT" ]

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modules/__init__.py

ongzhixian/python-apps

11a0d0ce656a7e9d7bdff18dd29feaa2bb436ae6

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################################################################################ # Define package composition ################################################################################ __all__ = ["toto_data", "sw_news_data", "toto_news_data", "ses_data", "project_mgmt"]

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stefan-jansen/libpy

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doc/jupyter_execute/examples/cicd/sig-mlops-jenkins-classic/jenkins_classic.py

edshee/seldon-core

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doc/jupyter_execute/examples/cicd/sig-mlops-jenkins-classic/jenkins_classic.py

edshee/seldon-core

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[ "Apache-2.0" ]

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doc/jupyter_execute/examples/cicd/sig-mlops-jenkins-classic/jenkins_classic.py

edshee/seldon-core

78c10fbca16a5e2a0c25b9673aa3deb220070e26

[ "Apache-2.0" ]

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#!/usr/bin/env python # coding: utf-8 # # MLOps with Seldon and Jenkins Classic # # This repository shows how you can build a Jenkins Classic pipeline to enable Continuous Integration and Continuous Delivery (CI/CD) on your Machine Learning models leveraging Seldon for deployment. # This CI/CD pipeline will allow you to: # # - Run unit tests using Jenkins Classic. # - Run end-to-end tests for your model with KIND (Kubernetes in Docker). # - Promote your model as a across multiple (staging / prod) environments. # # To showcase these features we will implement add continuous integration and delivery to three different models. # You can find these under the `/models` folder. # As we shall see, each of them will require a [different approach to deployment](#Use-Cases). # ## CI/CD Pipeline # # The diagram below provides a high level overview of the CI/CD pipeline. # It includes an overview of all the different types of repositories, together with the stakeholders that are the primary contributors of each, as well as the Kubernetes environments in which the applications are deployed. # # The key pieces to note on the diagram are: # # - There are different types of environments with different restrictions and behaviours, e.g. staging and production. # - It’s possible to have more than one environment for each type (as the type is just what would give it a specific type of config/behaviour). # - The environments are by default in the same cluster (as namespaces), however it’s also possible to configure them across different clusters. # - Each of the green boxes is a single repository, but it can also have a mono-repo approach, whereby each of the white boxes is a folder within a repo. # ![CI/CD Pipeline](./images/pipeline-architecture.jpg) # ### Model implementation repository # # From a high-level point of view, when a model implementation repository is updated by a Data Scientist or ML Engineer, the Jenkins CI will push changes to the [GitOps repository](#gitops-repository). This enables the following workflow: # # 1. A Data Scientist or ML Engineer trains a new model. # 2. The Data Scientist or ML Engineer pushes the updated configuration to the model implementation repository. # 3. The CI tool automatically builds and tests the model implementation. # 4. The CI tool automatically pushes the change into the GitOps staging repository. # 5. The CI tool automatically opens a PR into the GitOps production repository. # # One key point to highlight which may not be obvious by just looking at the diagram is that in this phase of model implementation, the example above showcases how we can leverage a re-usable model server - that is, reusing a pre-built docker image instead of building one every time. # If there are more custom requirements, the user is in full control of the steps performed by the CI Platform Jenkins. # This means that it is also possible to build s2i wrapped components which may require training the image every time. # # To gain a better understanding of how the CI/CD pipeline is implemented on each model implementation repository you can check the documented [deep dive](#diving-into-our-cicd-pipeline). # # #### Why a new repo for every model? # # A new model implementation repo is currently created because it provides us with a way to separate the “Model Deployment” phase and the “Model Training/Experimentation” phase, and allows us to use the repo as the integration between any frameworks that can serve as sources of models (MLFlow, Kubeflow, Spark, etc). # The repo is able to store any metadata, IDs, and configuration files required, and is processed through the CI pipeline every time it is modified. # # #### Building a docker image in model implementation repository # # Whilst most of the times users of this approach will be leveraging re-usable model servers such as the SKLearn model server, it is also possible to build a docker image every single time (i.e. build a non-reusable model every time a model changes). # This can be be done by adding the relevant steps which would most often include the s2i utility. # This may be desired if there are non-standard linux libraries or non-standard depdencies that need to be re-installed every time. # ### GitOps repository # # The state of each of our environments (e.g. production or staging) is stored on a GitOps repository. # This repository contains all the different Kubernetes resources that have been deployed to each cluster. # It is linked through [ArgoCD](#ArgoCD) to each of our Kubernetes clusters (or namespaces) so that a change in the repository triggers an update of our environment. # # When the deployment configuration of a machine learning model implementation is updated, this will automatically make the changes available through a PR to the respective manager/tech-lead/approver. # This step will enable the end to end machine learning model promotion to be reviewed and approved by the respective individual. # # The manager/tech-lead will have to approve the PR before it can be merged. # Once it’s approved, it will be merged into the GitOps repo, which will immediately trigger the update in the production namespace/cluster. # # You can see an example of a GitOps repository in the [SeldonIO/seldon-gitops](https://github.com/SeldonIO/seldon-gitops) repository. # #### Re-usable model server repository # # If there is a need for a new reusable model server, then it’s possible to do so by creating a repository which would follow a different path. # This would be different to the model implementation repository as it would only be built once in a while, whilst the model server would be built multiple times. # ### Set up # # As a pre-requisite you need to ensure that have access to a Kubernetes cluster. # In particular, this guide requires the following pre-requisites: # # - A Kubernetes cluster running v1.13+. # - Jenkins Classic installed in your cluster. You can find instructions on how to install and configure it on the [Installing Jenkins on your K8s cluster](#Installing-Jenkins-on-your-K8s-cluster) section. # - Seldon Core v0.5.1 installed in your cluster. # ### Use cases # # This guide goes through three different methods to build and deploy your model. # Each of these can be found under the `./models/` of this repository. # # - Using Seldon pre-built re-usable model servers (`./models/news_classifier`). # - Using custom re-usable servers (`./models/images_classifier`). # - Using custom servers with an embedded model. # ## Diving into our CI/CD Pipeline # # On this section we will dive into the internals of the CI/CD pipeline for our [model implementation repositories](#Model-implementation-repository). # This includes a detailed description of the `Jenkinsfile`, as well as a look into our suggested testing methodology. # # Note that this will cover a generic example. # However, as we shall see, specialising this approach into any of our [three main use cases](#Use-cases) will be straightforward. # # We leverage [Jenkins Pipelines](https://jenkins.io/doc/book/pipeline/) in order to run our continuous integration and delivery automation. # From a high-level point of view, the pipeline configuration will be responsible for: # # - Define a **replicable** test and build environment. # - Run the unit and integration tests (if applicable). # - Promote the application into our staging and production environments. # # We can see a `Jenkinsfile` below taken from the `./models/news_classifier` example. # This `Jenkinsfile` defines a pipeline which takes into account all of the points mentioned above. # The following sections will dive into each of the sections in a much higher detail. # In[1]: get_ipython().run_cell_magic('writefile', './models/news_classifier/Jenkinsfile', "pipeline {\n agent {\n kubernetes {\n defaultContainer 'core-builder'\n yamlFile 'models/news_classifier/podTemplate.yaml'\n }\n }\n\n stages {\n stage('Test') {\n steps {\n sh '''\n cd models/news_classifier\n make install_dev test\n '''\n }\n }\n\n stage('Test integration') {\n steps {\n sh '''\n cd models/news_classifier\n ./integration/kind_test_all.sh\n '''\n }\n }\n\n stage('Promote application') {\n steps {\n withCredentials([[$class: 'UsernamePasswordMultiBinding',\n credentialsId: 'github-access',\n usernameVariable: 'GIT_USERNAME',\n passwordVariable: 'GIT_PASSWORD']]) {\n sh '''\n cd models/news_classifier\n ./promote_application.sh\n '''\n }\n }\n }\n\n }\n}") # In[2]: get_ipython().run_cell_magic('writefile', './models/news_classifier/podTemplate.yaml', 'apiVersion: v1\nkind: Pod\nmetadata:\n name: test-pod\nspec:\n containers:\n - name: core-builder\n image: seldonio/core-builder:0.8\n resources:\n limits:\n cpu: 500m\n memory: 1500Mi\n ephemeral-storage: "15Gi"\n requests:\n cpu: 200m\n memory: 1500Mi\n ephemeral-storage: "15Gi"\n securityContext:\n privileged: true\n tty: true\n volumeMounts:\n - mountPath: /lib/modules\n name: modules\n readOnly: true\n - mountPath: /sys/fs/cgroup\n name: cgroup\n - mountPath: /var/lib/docker\n name: dind-storage\n volumes:\n - name: modules\n hostPath:\n path: /lib/modules\n - name: cgroup\n hostPath:\n path: /sys/fs/cgroup\n - name: dind-storage\n emptyDir: {}') # ### Replicable test and build environment # # In order to ensure that our test environments are versioned and replicable, we make use of the [Jenkins Kubernetes plugin](https://github.com/jenkinsci/kubernetes-plugin). # This will allow us to create a Docker image with all the necessary tools for testing and building our models. # Using this image, we will then spin up a separate pod, where all our build instructions will be ran. # We will use the `podTemplate()` object in the Jenkins Pipeline configuration to define the requirements of this pod # # Since it leverages Kubernetes underneath, this also ensure that our CI/CD pipelines are easily scalable. # ### Integration tests # # Now that we have a model that we want to be able to deploy, we want to make sure that we run end-to-end tests on that model to make sure everything works as expected. # For this we will leverage the same framework that the Kubernetes team uses to test Kubernetes itself: [KIND](https://kind.sigs.k8s.io/). # # KIND stands for Kubernetes-in-Docker, and is used to isolate a Kubernetes environent for end-to-end tests. # In our case, we will use this isolated environment to test our model. # # The steps we'll have to carry out include: # # 1. Enable Docker within your CI/CD pod. # 2. Add an integration test stage. # 3. Leverage the `kind_test_all.sh` script that creates a KIND cluster and runs the tests. # # #### Add integration stage to Jenkins # # We can leverage Jenkins Pipelines to manage the different stages of our CI/CD pipeline. # In particular, to add an integration stage, we can use the `stage()` object: # # ```groovy # stage('Test integration') { # steps { # sh ''' # cd models/news_classifier # ./integration/kind_test_all.sh # ''' # } # } # ``` # #### Enable Docker # # To test our models, we will need to build their respective containers, for which we will need Docker. # In order to do so, we will first need to mount a few volumes into the CI/CD container. # These basically consist of the core components that docker will need to be able to run. # To mount them we will add these entries into the `podTemplate.yaml` file. # # Please also note that we set container to run in `privileged` mode. # # # ```yaml # ApiVersion: v1 # ... # spec: # containers: # - name: core-builder # ... # securityContext: # privileged: true # ... # volumeMounts: # - mountPath: /lib/modules # name: modules # readOnly: true # - mountPath: /sys/fs/cgroup # name: cgroup # - mountPath: /var/lib/docker # name: dind-storage # volumes: # - name: modules # hostPath: # path: /lib/modules # - name: cgroup # hostPath: # path: /sys/fs/cgroup # - name: dind-storage # emptyDir: {} # ``` # #### Run tests in Kind # # The `kind_run_all.sh` may seem complicated at first, but it's actually quite simple. # All the script does is set-up a kind cluster with all dependencies, deploy the model and clean everything up. # Let's break down each of the components within the script. # We first start the docker daemon and wait until Docker is running (using `docker ps q` for guidance. # # ```bash # ## FIRST WE START THE DOCKER DAEMON # service docker start # ## the service can be started but the docker socket not ready, wait for ready # WAIT_N=0 # while true; do # # docker ps -q should only work if the daemon is ready # docker ps -q > /dev/null 2>&1 && break # if [[ ${WAIT_N} -lt 5 ]]; then # WAIT_N=$((WAIT_N+1)) # echo "[SETUP] Waiting for Docker to be ready, sleeping for ${WAIT_N} seconds ..." # sleep ${WAIT_N} # else # echo "[SETUP] Reached maximum attempts, not waiting any longer ..." # break # fi # done # ``` # Once we're running a docker daemon, we can run the command to create our KIND cluster, and install all the components. # This will set up a Kubernetes cluster using the docker daemon (using containers as Nodes), and then install Ambassador + Seldon Core. # # # ```bash # ######################################## # ## AVOID EXIT ON ERROR FOR FOLLOWING CMDS # set +o errexit # # ## START CLUSTER # make kind_create_cluster # KIND_EXIT_VALUE=$? # # ## Ensure we reach the kubeconfig path # export KUBECONFIG=$(kind get kubeconfig-path) # # ## ONLY RUN THE FOLLOWING IF SUCCESS # if [[ ${KIND_EXIT_VALUE} -eq 0 ]]; then # # KIND CLUSTER SETUP # make kind_setup # SETUP_EXIT_VALUE=$? # ``` # We can now run the tests; for this we run all the dev installations and kick off our tests (which we'll add inside of the integration folder). # # ```bash # # BUILD S2I BASE IMAGES # make build # S2I_EXIT_VALUE=$? # # ## INSTALL ALL REQUIRED DEPENDENCIES # make install_integration_dev # INSTALL_EXIT_VALUE=$? # # ## RUNNING TESTS AND CAPTURING ERROR # make test # TEST_EXIT_VALUE=$? # fi # ``` # # Finally we just clean everything, including the cluster, the containers and the docker daemon. # # ```bash # ## DELETE KIND CLUSTER # make kind_delete_cluster # DELETE_EXIT_VALUE=$? # # ######################################## # ## EXIT STOPS COMMANDS FROM HERE ONWARDS # set -o errexit # # ## CLEANING DOCKER # docker ps -aq | xargs -r docker rm -f || true # service docker stop || true # ``` # ### Promote your application # # After running our integration tests, the last step is to promote our model to our staging and production environments. # For that, we will leverage our [GitOps repository](#GitOps-repository) where the state of each environment is stored. # # In particular, we will: # # - Push a change to the staging GitOps repository, which will update the staging environment instantly. # - Submit a PR to the production GitOps repository, which will wait for a Tech Lead / Manager approval. # # This will be handled by the `promote_application.sh` script, which can be seen below. # In[13]: get_ipython().run_cell_magic('writefile', './models/news_classifier/promote_application.sh', '##!/bin/bash\n\n## ENSURE WE ARE IN THE DIR OF SCRIPT\ncd -P -- "$(dirname -- "$0")"\n## SO WE CAN MOVE RELATIVE TO THE ACTUAL BASE DIR\n\nexport GITOPS_REPO="seldon-gitops"\nexport GITOPS_ORG="adriangonz"\nexport STAGING_FOLDER="staging"\nexport PROD_FOLDER="production"\n\n## This is the user that is going to be assigned to PRs\nexport GIT_MANAGER="adriangonz"\n\nexport UUID=$(cat /proc/sys/kernel/random/uuid)\n\ngit clone https://${GIT_USERNAME}:${GIT_PASSWORD}@github.com/${GITOPS_ORG}/${GITOPS_REPO}\n\ncd ${GITOPS_REPO}\ncp -r ../charts/* ${STAGING_FOLDER}/.\nls ${STAGING_FOLDER}\n\n## Check if any modifications identified\ngit add -N ${STAGING_FOLDER}/\ngit --no-pager diff --exit-code --name-only origin/master ${STAGING_FOLDER}\nSTAGING_MODIFIED=$?\nif [[ $STAGING_MODIFIED -eq 0 ]]; then\n echo "Staging env not modified"\n exit 0\nfi\n\n## Adding changes to staging repo automatically\ngit add ${STAGING_FOLDER}/\ngit commit -m \'{"Action":"Deployment created","Message":"","Author":"","Email":""}\'\ngit push https://${GIT_USERNAME}:${GIT_PASSWORD}@github.com/${GITOPS_ORG}/${GITOPS_REPO}\n\n## Add PR to prod\ncp -r ../charts/* production/.\n\n## Create branch and push\ngit checkout -b ${UUID}\ngit add ${PROD_FOLDER}/\ngit commit -m \'{"Action":"Moving deployment to production repo","Message":"","Author":"","Email":""}\'\ngit push https://${GIT_USERNAME}:${GIT_PASSWORD}@github.com/${GITOPS_ORG}/${GITOPS_REPO} ${UUID}\n\n## Create pull request\nexport PR_RESULT=$(curl \\\n -u ${GIT_USERNAME}:${GIT_PASSWORD} \\\n -v -H "Content-Type: application/json" \\\n -X POST -d "{\\"title\\": \\"SeldonDeployment Model Promotion Request - UUID: ${UUID}\\", \\"body\\": \\"This PR contains the deployment for the Seldon Deploy model and has been allocated for review and approval for relevant manager.\\", \\"head\\": \\"${UUID}\\", \\"base\\": \\"master\\" }" \\\n https://api.github.com/repos/$GITOPS_ORG/$GITOPS_REPO/pulls)\nexport ISSUE_NUMBER=$(echo \\\n $PR_RESULT |\n python -c \'import json,sys;obj=json.load(sys.stdin);print(obj["number"])\')\n\n## Assign PR to relevant user\ncurl \\\n -u ${GIT_USERNAME}:${GIT_PASSWORD} \\\n -v -H "Content-Type: application/json" \\\n -X POST -d "{\\"assignees\\": [\\"${GIT_MANAGER}\\"] }" \\\n https://api.github.com/repos/$GITOPS_ORG/$GITOPS_REPO/issues/$ISSUE_NUMBER') # ## Creating a CI/CD pipeline # # In order to add a pipeline to Jenkins, you just have to go to the "Manage Jenkins" configuration dashboard, and click on "New Item" to create a new pipeline. # ![New Item](./images/new-item.png) # # In the first menu, we'll add a name. # For example, we can create a new pipeline with name `news_classifier`. # We will then be able to add the specific details. # Most of these will remain on "default", but we will need to change a couple of them to add a GitHub trigger, Docker access and to point to the right folder within the repository. # # Firstly, we will change the following: # # * GitHub hook trigger for GITScm polling. # * Tick "This project is parameterised", and then when you see the next dialog: # * Click on the "Add parameter" dropdown, and select "Credential Parameter". # * This will open yet another box, where you want to provide the following details: # * name: `docker-access` # * Credential type "Username and Password" # * Tick: required # * Default value: Click on the "Add" dropdown, and then on "Jenkins provider": # * This has opened another dialog box, where you want to add your docker credentials. # * For this you need to make sure that the current selected option is "Username and Password". # * There you have to enter your Docker username, and for password it's advised to use a Docker API Key. # ![Pipeline Config](./images/pipeline-config.png) # Lastly, we will need to point to the right `Jenkinsfile`. # Note that since we are working with a monorepository, where multiple model implementations are tracked, we will need to point our pipeline to the `./models/news_classifier` folder. # If we were working with a single model implementation repository, we would only need to point to the global repo. # # * Select "Pipeline script from SCM" from dropdown. # * Add the repository as SCM (in this case https://github.com/SeldonIO/sig-mlops-jenkins-classic/) # * Point to the right `Jenkinsfile` under "Script Path". In this case, `models/news_classifier/Jenkinsfile`. # * If needed, add credentials that will allow to access private repos. # ![SCM Config](./images/scm-config.png) # ### Running pipeline # # In order to trigger a new build, we can do it manually by clicking on "Build with Parameters" and then on "Build" or we can just push a new change to our GitHub repo. # This will take us to a view where we can see some details about each of the stages of the latest builds. # ![Pipeline Stages](./images/pipeline-stages.png) # ## Installing Jenkins on your K8s cluster # # If you already have access to a cluster but which doesn't have Jenkins installed, you can do so easily using Helm. # In particular, you will need to run the following: # In[ ]: get_ipython().run_cell_magic('bash', '', 'helm install \\\n --name "jenkins" stable/jenkins \\\n --namespace "jenkins" \\\n --set "rbac.create=true" \\\n --set "master.adminUser=admin" \\\n --set "master.adminPassword=admin" \\\n --set "master.serviceType=LoadBalancer"') # This will install Jenkins and all the required services in the cluster. # To get the Load Balancer where it can be accessed you can run: # In[ ]: get_ipython().run_cell_magic('bash', '', 'kubectl get svc -n jenkins | grep jenkins') # ### Further configuration # # If you wish to set up automated pipeline triggers, you will have to install the "GitHub" plugin (there are quite a few github related ones but the one you want is the one called plainly "GitHub", which then will allow for triggering pipelines automatically on commit. # # - Install the GitHub Plugin [(for automated webhook triggers)](https://plugins.jenkins.io/github/). # - Provide a GitHub token with read access so it can clone relevant repositories. # - Set-up webhooks so that GitHub can send push requests. # # Additionally, you will need to configure your Git's `name` and `email` as part of Jenkins settings. # # ![Git user config](./images/git-user.png) # #### Make sure plugins are updated # # If you try to run a pipeline and you get an error such as "No Such DSL Method", or any strange Java exception when running a pipeline, the most probably reason is due to current plugins not being up to date. # # Updating your plugins can be done by going to "Manage Jenkins" -> "Plugins", and then selecct all the plugins and click "Update and load after restart". This will take you to another screen - there you should tick the checkbox that reads "restart after plugins are downloaded and installed". # # Once you update our plugins you should be ready to go. # ## ArgoCD # # A key point of this approach to MLOps relies on having a GitOps repository which gets synced with our Kubernetes cluster. # To achieve this we leverage [ArgoCD](https://argo-cd.readthedocs.io/en/stable/), which will take care of setting up webhooks with your GitOps repository so that on every change it triggers a synchronisation between the resources you've pushed and what's deployed on the cluster. # ### Installation # # If you don't have it already, you can install ArgoCD following the [official documentation](https://argo-cd.readthedocs.io/en/stable/getting_started/#1-install-argo-cd): # In[ ]: get_ipython().run_cell_magic('bash', '', 'kubectl create namespace argocd\nkubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml') # Additionally, you will need to install the accompanying CLI tool. # This tool will allow you to easily link your GitOps repository taking care of the entire process. # The instructions to install it will vary between different platforms. # The official documentation shows the [recommended method](https://argo-cd.readthedocs.io/en/stable/cli_installation/) on each of the major ones. # ### Setting up GitOps repository # # To set up the GitOps repository so that it's tracked by ArgoCD we will use the `argocd` CLI tool. # We will assume that the `GITHUB_ORG` and `REPONAME` environment variables have been created and that the repository has already been created and can be found in the `https://github.com/$GITHUB_ORG/$REPONAME` url. # In[ ]: get_ipython().run_cell_magic('bash', '', 'export GITHUB_ORG=SeldonIO\nexport REPONAME=seldon-gitops') # #### Private repositories (optional) # # If your repository is private, we will first need to provide the right credentials for ArgoCD to use. # We can do so either using a [user / password login](https://argo-cd.readthedocs.io/en/stable/user-guide/private-repositories/#https-username-and-password-credential) or using [SSH keys](https://argo-cd.readthedocs.io/en/stable/user-guide/private-repositories/#tls-client-certificates-for-https-repositories). # Note that, for the former, we can also use a [personal access token](https://help.github.com/en/github/authenticating-to-github/creating-a-personal-access-token-for-the-command-line) instead of the password. # # As an example, we will add our GitOps repository using a personal access token. # We will assume that the environment variables `GITHUB_USER` and `GITHUB_TOKEN` are set. # In[ ]: get_ipython().run_cell_magic('bash', '', 'export GITHUB_USER=john.doe\nexport GITHUB_TOKEN=12341234\n\nargocd repo add https://github.com/$GITHUB_ORG/$REPONAME --username $GITHUB_USER --password $GITHUB_TOKEN') # #### Create ArgoCD projects # # The next step is to create two projects within ArgoCD to manage the staging and production environments respectively. # Each of them will be linked to a folder within our GitOps repository. # In[ ]: get_ipython().run_cell_magic('bash', '', 'argocd app create seldon-staging \\\n --repo https://github.com/$GITHUB_ORG/$REPONAME \\\n --path staging \\\n --dest-namespace staging\nargocd app create seldon-production \\\n --repo https://github.com/$GITHUB_ORG/$REPONAME \\\n --path production \\\n --dest-namespace production') # Note that we could also sync our `staging` and `production` environment differently. # For example, we could have them on separate repositories or separate branches. # In this case we would also need to update the `promote_application.sh` script so that it knows how it should promote the respective model between environments.

58.182819

2,436

0.719175

3,989

26,415

4.728253

0.205315

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0.002068

0.008112

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0.04899

0.036636

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0.003092

0.179595

26,415

453

2,437

58.311258

0.867242

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1.111111

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true

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1

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null

0

1

0

5

f86ba8ebcc560fa1396f171ff55303491d1df89d

48

py

Python

tests/__init__.py

itsallcode-nl/python-api-machine

6ce5d924cc01622f832dd6e9bc2878b003dfcb75

[ "MIT" ]

null

tests/__init__.py

itsallcode-nl/python-api-machine

6ce5d924cc01622f832dd6e9bc2878b003dfcb75

[ "MIT" ]

null

tests/__init__.py

itsallcode-nl/python-api-machine

6ce5d924cc01622f832dd6e9bc2878b003dfcb75

[ "MIT" ]

null

"""Unit test package for python_api_machine."""

24

47

0.75

7

48

4.857143

1

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0.104167

48

1

48

0.790698

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true

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1

0

1

0

null

0

1

0

5

f877b6d7a0f4206df7c2e42c466daad4789bd0d9

95

py

Python

onegreek/old.comments/old.comments/admin.py

goldhand/onegreek

1ad105f15608284a9e80802734f0c6222413a4a0

[ "BSD-3-Clause" ]

1

2019-06-13T11:46:08.000Z

onegreek/old.comments/old.comments/admin.py

goldhand/onegreek

1ad105f15608284a9e80802734f0c6222413a4a0

[ "BSD-3-Clause" ]

null

onegreek/old.comments/old.comments/admin.py

goldhand/onegreek

1ad105f15608284a9e80802734f0c6222413a4a0

[ "BSD-3-Clause" ]

null

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

13.571429

32

0.810526

13

95

5.923077

0.692308

0

0.126316

95

6

33

15.833333

0.927711

0

1

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true

0

0.666667

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null

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0

null

0

1

0

1

0

1

0

5

f889afd041bf517bd503fb60aa6dcef53f7b6ed1

338

py

Python

components/collector/tests/source_collectors/axe_selenium_python/base.py

Erik-Stel/quality-time

602b6970e5d9088cb89cc6d488337349e54e1c9a

[ "Apache-2.0" ]

null

components/collector/tests/source_collectors/axe_selenium_python/base.py

Erik-Stel/quality-time

602b6970e5d9088cb89cc6d488337349e54e1c9a

[ "Apache-2.0" ]

null

components/collector/tests/source_collectors/axe_selenium_python/base.py

Erik-Stel/quality-time

602b6970e5d9088cb89cc6d488337349e54e1c9a

[ "Apache-2.0" ]

null

"""Base class for unit tests for the Axe report generated by axe-selenium-python.""" from ..source_collector_test_case import SourceCollectorTestCase class AxeSeleniumPythonTestCase(SourceCollectorTestCase): # skipcq: PTC-W0046 """Base class for testing axe-selenium-python collectors.""" SOURCE_TYPE = "axe_selenium_python"

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false

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1

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null

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1

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1

0

5

f8a4b65adbf838e98fb45de48f00d4d04be2dfd6

91

py

Python

projeto_django/mymdb/django/core/admin.py

Edely/django-rest-framework

147bede1a714b3b12b2e7d5b985379d41df44a2e

[ "BSD-3-Clause" ]

null

projeto_django/mymdb/django/core/admin.py

Edely/django-rest-framework

147bede1a714b3b12b2e7d5b985379d41df44a2e

[ "BSD-3-Clause" ]

null

projeto_django/mymdb/django/core/admin.py

Edely/django-rest-framework

147bede1a714b3b12b2e7d5b985379d41df44a2e

[ "BSD-3-Clause" ]

null

from django.contrib import admin from core.models import Movie admin.site.register(Movie)

18.2

32

0.824176

14

91

5.357143

0.714286

0

0.10989

91

4

33

22.75

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true

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null

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null

0

1

0

1

0

1

0

5

f8c5ee7635c8fd99698e4c904c66afa324b916e7

187

py

Python

userprofile/admin.py

1919kiran/healthcare-portal

547d734762b6698adf8f5a7a45418e8553ca9397

[ "MIT" ]

null

userprofile/admin.py

1919kiran/healthcare-portal

547d734762b6698adf8f5a7a45418e8553ca9397

[ "MIT" ]

9

2019-12-04T22:36:31.000Z

2022-02-10T07:39:23.000Z

userprofile/admin.py

1919kiran/healthcare-portal

547d734762b6698adf8f5a7a45418e8553ca9397

[ "MIT" ]

null

from django.contrib import admin from userprofile.models import DoctorModel, PatientModel # Register your models here. admin.site.register(DoctorModel) admin.site.register(PatientModel)

26.714286

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0.839572

23

187

6.826087

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187

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57

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true

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1

0

1

0

null

0

1

0

1

0

5

3e0dd105f39840f21e9623f1e0ecdda304ae011d

200

py

Python

podcasts/admin.py

jrigden/podir

1c6ef75d39996792702858df0b3d8e04a334c171

[ "MIT" ]

null

podcasts/admin.py

jrigden/podir

1c6ef75d39996792702858df0b3d8e04a334c171

[ "MIT" ]

null

podcasts/admin.py

jrigden/podir

1c6ef75d39996792702858df0b3d8e04a334c171

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from .models import Category, Episode, Podcast admin.site.register(Category) admin.site.register(Episode) admin.site.register(Podcast)

20

46

0.805

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200

5.962963

0.481481

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0.31677

0

0.105

200

9

47

22.222222

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0.13

0

1

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true

0

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0.4

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null

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1

0

1

0

null

0

1

0

1

0

5

3e4683b31ca52b36039ae0f6dfabf419ae669d19

48

py

Python

nitropy.py

daringer/pynitrokey

dc6bb282c9e08f9de675e17f4ee3b8aca190c1e5

[ "Apache-2.0", "MIT" ]

null

nitropy.py

daringer/pynitrokey

dc6bb282c9e08f9de675e17f4ee3b8aca190c1e5

[ "Apache-2.0", "MIT" ]

null

nitropy.py

daringer/pynitrokey

dc6bb282c9e08f9de675e17f4ee3b8aca190c1e5

[ "Apache-2.0", "MIT" ]

null

from pynitrokey.cli import nitropy nitropy()

8

34

0.770833

6

48

6.166667

0.833333

0

0.166667

48

5

35

9.6

0.925

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3e9170f7c6af6cf167dc763436ce1a91e0be5bf5

135

py

Python

homepage/admin.py

tdavn/portfolio_django

cdbadd53d5137b15955717c15f4d3991ac5a9b7d

[ "MIT" ]

null

homepage/admin.py

tdavn/portfolio_django

cdbadd53d5137b15955717c15f4d3991ac5a9b7d

[ "MIT" ]

null

homepage/admin.py

tdavn/portfolio_django

cdbadd53d5137b15955717c15f4d3991ac5a9b7d

[ "MIT" ]

null

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

19.285714

42

0.822222

18

135

6.166667

0.666667

0

0.118519

135

6

43

22.5

0.932773

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0

1

0

true

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null

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1

0

null

0

1

0

1

0

1

0

5

e41976e69582a2bebe04232bd3c63e3b9a815244

28

py

Python

pufferfish/version.py

JohnUrban/pufferfish

27de965b34e87f775ca52daaf544a108a310e9db

[ "MIT" ]

null

pufferfish/version.py

JohnUrban/pufferfish

27de965b34e87f775ca52daaf544a108a310e9db

[ "MIT" ]

null

pufferfish/version.py

JohnUrban/pufferfish

27de965b34e87f775ca52daaf544a108a310e9db

[ "MIT" ]

null

__version__="0.1.20200925"

9.333333

26

0.75

4

28

4.25

1

0

0.384615

0.071429

28

2

27

14

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0

0.444444

0

1

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false

0

1

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null

0

1

0

1

0

1

0

null

0

5

e455917aeed9a05156a25edbfe5a1f53c055b129

173

py

Python

src/ihcWrappers/responseData.py

F9R/ihcpmslib-wrappers

4a5e37ab2ecc8c8c1a8437992e45b9271ec18826

[ "BSD-2-Clause" ]

1

2022-02-09T06:41:20.000Z

src/ihcWrappers/responseData.py

F9R/ihcpmslib-wrappers

4a5e37ab2ecc8c8c1a8437992e45b9271ec18826

[ "BSD-2-Clause" ]

null

src/ihcWrappers/responseData.py

F9R/ihcpmslib-wrappers

4a5e37ab2ecc8c8c1a8437992e45b9271ec18826

[ "BSD-2-Clause" ]

null

class ResponseDataWrapper: def __init__(self, responseData) -> None: self._rd = responseData @property def Raw(self) -> str: return self._rd.Raw

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null

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5

e4674a2241c5acef7186c44a28ec1661c378af7b

45

py

Python

compilerTest.py

Kaarel94/Ozobot-Python

4290a55df9447404fbe3326870338c55d6d634cc

[ "MIT" ]

32

2017-04-09T07:10:40.000Z

2022-03-08T08:09:34.000Z

compilerTest.py

Kaarel94/Ozobot-Python

4290a55df9447404fbe3326870338c55d6d634cc

[ "MIT" ]

1

2017-12-20T16:58:53.000Z

2018-02-09T15:26:44.000Z

compilerTest.py

Kaarel94/Ozobot-Python

4290a55df9447404fbe3326870338c55d6d634cc

[ "MIT" ]

10

2017-04-09T19:02:19.000Z

2022-03-22T20:58:19.000Z

import ozopython ozopython.run("test.ozopy")

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1

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5

e471b7dc9eb9b6fb0b9b88cc3f85915a8a7f5d4f

253

py

Python

backend/hmobiweb/apps/monitoring_solutions/apps.py

starkyller/dissertacao

b182b29171942066f59e8d222039a431dd3fe203

[ "MIT" ]

null

backend/hmobiweb/apps/monitoring_solutions/apps.py

starkyller/dissertacao

b182b29171942066f59e8d222039a431dd3fe203

[ "MIT" ]

null

backend/hmobiweb/apps/monitoring_solutions/apps.py

starkyller/dissertacao

b182b29171942066f59e8d222039a431dd3fe203

[ "MIT" ]

null

from django.apps import AppConfig from django.utils.translation import ugettext_lazy as _ class MonitoringSolutionsConfig(AppConfig): #name = 'monitoring_solutions' name = 'apps.monitoring_solutions' verbose_name = _('Monitoring Solutions')

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0

1

0

null

0

1

0

5

90474e7654f95062a863dddc69d0a18f58117b10

175

py

Python

func_over.py

evanascence27/py_prog

d6eb7cc3d399ba3ff5c1214e5aed6f9acc75596c

[ "MIT" ]

null

func_over.py

evanascence27/py_prog

d6eb7cc3d399ba3ff5c1214e5aed6f9acc75596c

[ "MIT" ]

null

func_over.py

evanascence27/py_prog

d6eb7cc3d399ba3ff5c1214e5aed6f9acc75596c

[ "MIT" ]

null

class Math: def Sum(a,b): return a+b def Sum(a,b,c): return a+b+c def Sum(a,b,c,d): return a+b+c+d ob=Math() print(ob.Sum(11,22))

17.5

23

0.474286

36

175

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0.144578

0.289157

0.216867

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9

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null

0

1

0

1

0

5

5f6cfb01c125c0140459a81fd6cfaba38dbbfd9f

46

py

Python

code/abc153_a_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

3

2019-08-16T16:55:48.000Z

2021-04-11T10:21:40.000Z

code/abc153_a_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

code/abc153_a_02.py

KoyanagiHitoshi/AtCoder

731892543769b5df15254e1f32b756190378d292

[ "MIT" ]

null

H,A=map(int,input().split()) print((H+A-1)//A)

23

28

0.586957

11

46

2.454545

0.727273

0.148148

0

0.022222

0.021739

46

2

29

23

0.577778

0

1

0

true

0

0.5

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null

0

1

0

null

0

1

0

1

0

5

5fc67faa880ffa9300a093aa0ef1f67c3a76eb0c

169

py

Python

html/semantics/forms/form-submission-0/resources/file-submission.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

8

2019-04-09T21:13:05.000Z

2021-11-23T17:25:18.000Z

html/semantics/forms/form-submission-0/resources/file-submission.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

21

2021-03-31T19:48:22.000Z

2022-03-12T00:24:53.000Z

html/semantics/forms/form-submission-0/resources/file-submission.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

11

2019-04-12T01:20:16.000Z

2021-11-23T17:25:02.000Z

def main(request, response): return ([("Content-Type", "text/html")], "<script>parent.postMessage(\"" + str(request.POST.first("testinput")) + "\", '*');</script>")

56.333333

139

0.615385

18

169

5.777778

0.888889

0

0.094675

169

2

140

84.5

0.679739

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0.568047

0.301775

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0

1

0

null

0

1

0

1

0

5

395dfcf0ef1c8d8e22e6ffa1f361278bc0e68f61

167

py

Python

nnreslib/graph/fit_graph/__init__.py

xausssr/nnreslib

2b3932df41369c329040603154418bb5512506b8

[ "MIT" ]

null

nnreslib/graph/fit_graph/__init__.py

xausssr/nnreslib

2b3932df41369c329040603154418bb5512506b8

[ "MIT" ]

3

2021-07-25T20:40:44.000Z

2021-07-26T08:36:03.000Z

nnreslib/graph/fit_graph/__init__.py

xausssr/nnreslib

2b3932df41369c329040603154418bb5512506b8

[ "MIT" ]

null

from .fit_graph import FitGraph from ...utils.utils import load_all_modules_from_package load_all_modules_from_package(__file__, __package__) __all__ = ["FitGraph"]

23.857143

56

0.832335

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167

5.130435

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0.118644

0.237288

0.305085

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0

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167

6

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null

0

1

0

5

397c05373d4b4fe933e0194433d280139a38835d

10,448

py

Python

attributionpriors/eager_ops.py

ch6845/attributionpriors

681cccb22e71ccaa6627001585b01952acacad54

[ "MIT" ]

105

2019-06-26T03:38:40.000Z

2022-03-24T17:30:53.000Z

expl-reg/attributionpriors/eager_ops.py

INK-USC/expl-refinement

815a7892a8d4c42fb429856746212a44f67d2547

[ "MIT" ]

4

2019-10-07T20:05:09.000Z

2021-04-29T11:47:09.000Z

expl-reg/attributionpriors/eager_ops.py

INK-USC/expl-refinement

815a7892a8d4c42fb429856746212a44f67d2547

[ "MIT" ]

12

2019-06-28T04:22:08.000Z

2021-11-25T02:02:44.000Z

import tensorflow as tf import numpy as np def _index_predictions(predictions, labels): ''' Indexes predictions, a [batch_size, num_classes]-shaped tensor, by labels, a [batch_size]-shaped tensor that indicates which class each sample should be indexed by. Args: predictions: A [batch_size, num_classes]-shaped tensor. The input to a model. labels: A [batch_size, num_classes]-shaped tensor. The tensor used to index predictions, in one-hot encoding form. Returns: A tensor of shape [batch_size] representing the predictions indexed by the labels. ''' current_batch_size = tf.shape(predictions)[0] sample_indices = tf.range(current_batch_size) sparse_labels = tf.argmax(labels, axis=-1) indices_tensor = tf.stack([sample_indices, tf.cast(sparse_labels, tf.int32)], axis=1) predictions_indexed = tf.gather_nd(predictions, indices_tensor) return predictions_indexed @tf.function def gradients(inputs, labels, model, index_true_class=True, multiply_by_input=False): ''' Computes the gradients of the output with respect to the input. Optionally mulitplies those gradients by the input to the model. Args: inputs: A [batch_size, ...]-shaped tensor. The input to a model. labels: A [batch_size]-shaped tensor. The true class labels, assuming a multi-class problem. model: A tf.keras.Model object, or a subclass object thereof. index_true_class: Whether or not to take the gradients of the output with respect to the true class. True by default. This should be set to True in the multi-class setting, and False in the regression setting. multiply_by_input: Whether or not to multiply the gradients by the input to the model. Defaults to False. Returns: A tensor the same shape as the input representing the gradients of the output with respect to the input. ''' with tf.GradientTape() as tape: tape.watch(inputs) predictions = model(inputs, training=True) if index_true_class: predictions_indexed = _index_predictions(predictions, labels) else: predictions_indexed = predictions input_gradients = tape.gradient(predictions_indexed, inputs) if multiply_by_input: input_gradients = input_gradients * inputs return input_gradients @tf.function def gradients_multi_output(inputs, model, num_classes, multiply_by_input=False): ''' Computes the gradients of the output with respect to the input. Optionally mulitplies those gradients by the input to the model. Args: inputs: A [batch_size, ...]-shaped tensor. The input to a model. model: A tf.keras.Model object, or a subclass object thereof. num_classes: The numver of classes to take the gradient with respect to multiply_by_input: Whether or not to multiply the gradients by the input to the model. Defaults to False. Returns: A tensor the same shape as the input representing the gradients of the output with respect to the input. ''' with tf.GradientTape(persistent=True) as tape: tape.watch(inputs) predictions = model(inputs, training=True) predictions_indexed = [] for output_class in range(num_classes): predictions_indexed.append(predictions[:, output_class]) gradients_array = [] for output_class in range(num_classes): input_gradients = tape.gradient(predictions_indexed[output_class], inputs) if multiply_by_input: input_gradients = input_gradients * inputs gradients_array.append(input_gradients) del tape stacked_gradients = tf.stack(gradients_array, axis=1) return stacked_gradients @tf.function def expected_gradients(inputs, labels, model, index_true_class=True): ''' Given a batch of inputs and labels, and a model, symbolically computes a single sample of expected gradients. Args: inputs: A [batch_size, ...]-shaped tensor. The input to a model. labels: A [batch_size, num_classes]-shaped tensor. The true class labels in one-hot encoding form, assuming a multi-class problem. model: A tf.keras.Model object, or a subclass object thereof. index_true_class: Whether or not to take the gradients of the output with respect to the true class. True by default. This should be set to True in the multi-class setting, and False in the regression setting. Returns: A tensor the same shape as the input representing a single sample of expected gradients of the output of the model with respect to the input. ''' current_batch_size = tf.shape(inputs)[0] #Here we have to compute the interpolated input into the model references = tf.roll(inputs, shift=1, axis=0) alphas = tf.random.uniform(shape=(current_batch_size, 1, 1, 1), minval=0.0, maxval=1.0, dtype=tf.float32) interpolated_inputs = alphas * inputs + (1.0 - alphas) * references with tf.GradientTape() as tape: tape.watch(interpolated_inputs) predictions = model(interpolated_inputs, training=True) if index_true_class: predictions_indexed = _index_predictions(predictions, labels) else: predictions_indexed = predictions input_gradients = tape.gradient(predictions_indexed, interpolated_inputs) difference_from_reference = inputs - references expected_gradients = input_gradients * difference_from_reference return expected_gradients def expected_gradients_full(inputs, references, model, k=100, index_true_class=False, labels=None): ''' Given a batch of inputs and labels, and a model, symbolically computes expected gradients with k references. Args: inputs: A [batch_size, ...]-shaped tensor. The input to a model. references: A numpy array representing background training data to sample from. model: A tf.keras.Model object, or a subclass object thereof. k: The number of samples to use when computing expected gradients. index_true_class: Whether or not to take the gradients of the output with respect to the true class. True by default. This should be set to True in the multi-class setting, and False in the regression setting. labels: A [batch_size, num_classes]-shaped tensor. The true class labels in one-hot encoding, assuming a multi-class problem. Returns: A tensor the same shape as the input representing the expected gradients feature attributions with respect to the output predictions. ''' eg_array = [] for i in range(tf.shape(inputs)[0]): sample_indices = np.random.choice(references.shape[0], size=k, replace=False) sample_references = references[sample_indices] alphas = tf.random.uniform(shape=(k, 1, 1, 1), minval=0.0, maxval=1.0, dtype=tf.float32) current_input = tf.expand_dims(inputs[i], axis=0) interpolated_inputs = alphas * current_input + (1.0 - alphas) * sample_references with tf.GradientTape() as tape: tape.watch(interpolated_inputs) predictions = model(interpolated_inputs, training=False) if index_true_class: current_labels = tf.expand_dims(labels[i, :], axis=0) current_labels = tf.tile(current_labels, multiples=(k, 1)) predictions_indexed = _index_predictions(predictions, current_labels) else: predictions_indexed = predictions input_gradients = tape.gradient(predictions_indexed, interpolated_inputs) difference_from_reference = current_input - sample_references expected_gradients_samples = input_gradients * difference_from_reference expected_gradients = tf.reduce_mean(expected_gradients_samples, axis=0) eg_array.append(expected_gradients) return tf.stack(eg_array, axis=0) def expected_gradients_multi_output(inputs, references, model, num_classes, k=100): ''' Given a batch of inputs and labels, and a model, symbolically computes expected gradients with k references. Unlike expected_gradients_full, this function is used when you want the expected gradients values with respect to all output classes, not just a single one. Args: inputs: A [batch_size, ...]-shaped tensor. The input to a model. references: A numpy array representing background training data to sample from. model: A tf.keras.Model object, or a subclass object thereof. num_classes: The number of classes to take expected gradients with respect to. k: The number of samples to use when computing expected gradients. Returns: A tensor the same shape as the input representing the expected gradients feature attributions with respect to the output predictions. ''' eg_array = [] for i in range(tf.shape(inputs)[0]): sample_indices = np.random.choice(references.shape[0], size=k, replace=False) sample_references = references[sample_indices] predictions_indexed = [] alphas = tf.random.uniform(shape=(k, 1, 1, 1), minval=0.0, maxval=1.0, dtype=tf.float32) current_input = tf.expand_dims(inputs[i], axis=0) interpolated_inputs = alphas * current_input + (1.0 - alphas) * sample_references with tf.GradientTape(persistent=True) as tape: tape.watch(interpolated_inputs) predictions = model(interpolated_inputs, training=False) for output_class in range(num_classes): predictions_indexed.append(predictions[:, output_class]) sample_eg_array = [] for output_class in range(num_classes): input_gradients = tape.gradient(predictions_indexed[output_class], interpolated_inputs) difference_from_reference = current_input - sample_references expected_gradients_samples = input_gradients * difference_from_reference expected_gradients = tf.reduce_mean(expected_gradients_samples, axis=0) sample_eg_array.append(expected_gradients) del tape eg_array.append(tf.stack(sample_eg_array, axis=0)) return tf.stack(eg_array, axis=0)

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0

null

0

1

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null

0

5

39a63e659c759c346337d88c22fc5c1f930162c1

276

py

Python

nlu/components/utils/ner_to_chunk_converter_licensed/ner_to_chunk_converter_licensed.py

milyiyo/nlu

d209ed11c6a84639c268f08435552248391c5573

[ "Apache-2.0" ]

480

2020-08-24T02:36:40.000Z

2022-03-30T08:09:43.000Z

nlu/components/utils/ner_to_chunk_converter_licensed/ner_to_chunk_converter_licensed.py

milyiyo/nlu

d209ed11c6a84639c268f08435552248391c5573

[ "Apache-2.0" ]

28

2020-09-26T18:55:43.000Z

2022-03-26T01:05:45.000Z

nlu/components/utils/ner_to_chunk_converter_licensed/ner_to_chunk_converter_licensed.py

milyiyo/nlu

d209ed11c6a84639c268f08435552248391c5573

[ "Apache-2.0" ]

76

2020-09-25T22:55:12.000Z

2022-03-17T20:25:52.000Z

from sparknlp_jsl.annotator import NerConverterInternal class NerToChunkConverterLicensed: @staticmethod def get_default_model(): return NerConverterInternal() \ .setInputCols(["sentence", "token", "ner"]) \ .setOutputCol("entities")

30.666667

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8.857143

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null

0

1

0

1

0

5

f2d11e35da2645e352c2699ab26c56abfb2d2a8e

24

py

Python

samples/__init__.py

shenqiang-Yuan/GPA

ad8bb4540ef4126c817c5fe007dad93a5a7ddc2a

[ "MIT" ]

null

samples/__init__.py

shenqiang-Yuan/GPA

ad8bb4540ef4126c817c5fe007dad93a5a7ddc2a

[ "MIT" ]

null

samples/__init__.py

shenqiang-Yuan/GPA

ad8bb4540ef4126c817c5fe007dad93a5a7ddc2a

[ "MIT" ]

null

from . import read_clips

24

0.833333

4

24

4.75

1

0

0.125

24

1

24

0.904762

0

1

0

true

0

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

f2f1d74f4346fab64f9c0ff25b63fcdd4e8601ec

164

py

Python

venv/Lib/site-packages/statsmodels/formula/__init__.py

EkremBayar/bayar

aad1a32044da671d0b4f11908416044753360b39

[ "MIT" ]

6,931

2015-01-01T11:41:55.000Z

2022-03-31T17:03:24.000Z

venv/Lib/site-packages/statsmodels/formula/__init__.py

EkremBayar/bayar

aad1a32044da671d0b4f11908416044753360b39

[ "MIT" ]

6,137

2015-01-01T00:33:45.000Z

2022-03-31T22:53:17.000Z

venv/Lib/site-packages/statsmodels/formula/__init__.py

EkremBayar/bayar

aad1a32044da671d0b4f11908416044753360b39

[ "MIT" ]

2,608

2015-01-02T21:32:31.000Z

2022-03-31T07:38:30.000Z

__all__ = ['handle_formula_data', 'test'] from .formulatools import handle_formula_data from statsmodels.tools._testing import PytestTester test = PytestTester()

23.428571

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0

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1

0

null

0

1

0

5

f2f2aa44b176a690864ca98447cb2224a759469d

271

py

Python

mocket/__init__.py

BlueOwlDev/python-mocket

7075f206394c6f226b975a2955821a2609023e24

[ "BSD-3-Clause" ]

null

mocket/__init__.py

BlueOwlDev/python-mocket

7075f206394c6f226b975a2955821a2609023e24

[ "BSD-3-Clause" ]

null

mocket/__init__.py

BlueOwlDev/python-mocket

7075f206394c6f226b975a2955821a2609023e24

[ "BSD-3-Clause" ]

null

try: # Py2 from mocket import Mocket, MocketEntry, Mocketizer, mocketize except ImportError: # Py3 from mocket.mocket import Mocket, MocketEntry, Mocketizer, mocketize __all__ = ("mocketize", "Mocket", "MocketEntry", "Mocketizer") __version__ = "3.9.3"

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0.518919

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271

10

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0

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0

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0.5

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null

1

0

null

0

1

0

5

8466bec847d8d3f8aaf5820b4c9e87e66b3b6e6a

439

py

Python

model_factory/models/__init__.py

yinochaos/model_factory

d8ff8b049cef9b2c19d6dc303874aee6401dc5ef

[ "Apache-2.0" ]

null

model_factory/models/__init__.py

yinochaos/model_factory

d8ff8b049cef9b2c19d6dc303874aee6401dc5ef

[ "Apache-2.0" ]

null

model_factory/models/__init__.py

yinochaos/model_factory

d8ff8b049cef9b2c19d6dc303874aee6401dc5ef

[ "Apache-2.0" ]

null

from __future__ import absolute_import, division, print_function __all__ = ['ClassiferModel', 'SeqlabelModel', 'Seq2seqModel', 'GANModel', 'RLModel'] from model_factory.models.classifier_model import ClassiferModel from model_factory.models.seqlabel_model import SeqlabelModel from model_factory.models.seq2seq_model import Seq2seqModel from model_factory.models.gan_model import GANModel from model_factory.models.rl_model import RLModel

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py

Python

old/09/01.py

systemquant/book-pandas-for-finance

90b7eb9be1de20a12ae72b9bb5d51424a979b174

[ "MIT" ]

10

2021-02-04T12:49:56.000Z

2022-03-26T11:28:11.000Z

old/09/01.py

systemquant/book-pandas-for-finance

90b7eb9be1de20a12ae72b9bb5d51424a979b174

[ "MIT" ]

1

2022-03-24T03:47:14.000Z

2022-03-24T03:54:52.000Z

old/09/01.py

systemquant/book-pandas-for-finance

90b7eb9be1de20a12ae72b9bb5d51424a979b174

[ "MIT" ]

4

2021-07-17T16:50:15.000Z

2022-03-22T05:55:34.000Z

from pykrx import stock business_day = stock.get_business_days(2010, 1) print(business_day[0]) print(business_day[-1])

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fffa4ecce609cc8c5785614f9902751c024250f9

522

py

Python

python/docs.py

robotlightsyou/test

015f13943fc402d8ce86c5f6d2f5a7d032b3340a

[ "MIT" ]

2

2019-05-26T15:09:34.000Z

2021-09-12T08:01:23.000Z

python/docs.py

robotlightsyou/test

015f13943fc402d8ce86c5f6d2f5a7d032b3340a

[ "MIT" ]

null

python/docs.py

robotlightsyou/test

015f13943fc402d8ce86c5f6d2f5a7d032b3340a

[ "MIT" ]

1

2021-04-11T20:28:21.000Z

""" DOC Module """ class Class: """ DOC Class """ def __init__(self): """ DOC __init__ """ def __iter__(self): """ DOC __iter__ """ def call(selfs, foo, bar, baz): """ DOC call """ print(__doc__) print('\n---\n') print(Class.__doc__) print('\n---\n') print(Class.__init__.__doc__) print('\n---\n') print(Class.__iter__.__doc__) print('\n---\n') print(Class.call.__doc__) print('\n---\n')

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null

0

1

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5

0816ad86df1c51ae5c438e7f984fc601ab28b084

126

py

Python

src/tom/credential.py

SEIAROTg/Mail.im

1ad31c5f82dd440100a16e5704a4e22fc8105ead

[ "MIT" ]

null

src/tom/credential.py

SEIAROTg/Mail.im

1ad31c5f82dd440100a16e5704a4e22fc8105ead

[ "MIT" ]

null

src/tom/credential.py

SEIAROTg/Mail.im

1ad31c5f82dd440100a16e5704a4e22fc8105ead

[ "MIT" ]

null

from typing import NamedTuple class Credential(NamedTuple): host: str port: int username: str password: str

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null

0

1

0

1

0

5

0847514a7e0da3aaae5bdfc4a2768a2c2b84aaf2

117

py

Python

test_grouping.py

markomijaljevic/pytest_examples

6882c183ac4717ab2b95fbc4137ddb7e759bcd3b

[ "MIT" ]

null

test_grouping.py

markomijaljevic/pytest_examples

6882c183ac4717ab2b95fbc4137ddb7e759bcd3b

[ "MIT" ]

null

test_grouping.py

markomijaljevic/pytest_examples

6882c183ac4717ab2b95fbc4137ddb7e759bcd3b

[ "MIT" ]

null

import pytest @pytest.mark.one def test_true(): assert True @pytest.mark.two def test_false(): assert False

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117

4.555556

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null

1

0

1

0

null

0

1

0

5

f230d13b83b27eab0a372096cee774eb318e7ef3

76

py

Python

djangobotcfg/__init__.py

henriquebastos/django-buildmaster

a3169509e2a8fb2623cde0a99c4087ef04b0be38

[ "BSD-3-Clause" ]

1

2018-04-18T20:18:59.000Z

djangobotcfg/__init__.py

henriquebastos/django-buildmaster

a3169509e2a8fb2623cde0a99c4087ef04b0be38

[ "BSD-3-Clause" ]

null

djangobotcfg/__init__.py

henriquebastos/django-buildmaster

a3169509e2a8fb2623cde0a99c4087ef04b0be38

[ "BSD-3-Clause" ]

null

from . import builders, buildsteps, changesource, schedulers, slaves, status

76

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76

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76

0.911765

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null

0

1

0

1

0

1

0

5

f23eae1451b246cd0ae7c253ef319bdc85d25e8c

82

py

Python

steganossaurus/utils.py

Djsouls/steganossaurus

f7258467a167e63116fa4d1bbec1f9e94734446f

[ "MIT" ]

null

steganossaurus/utils.py

Djsouls/steganossaurus

f7258467a167e63116fa4d1bbec1f9e94734446f

[ "MIT" ]

null

steganossaurus/utils.py

Djsouls/steganossaurus

f7258467a167e63116fa4d1bbec1f9e94734446f

[ "MIT" ]

null

def image_needed_size(byte_list, channels): return (byte_list * 4) / channels

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1

0

1

0

null

0

1

0

1

0

5

f2845f5c1f3c926d85d832402b15b526d9572238

47

py

Python

run_app.py

matthistuff/Decaying-Shelters-Rhino

38f5669f34da886bf4740f7fcaa9383872a1bf5b

[ "MIT" ]

null

run_app.py

matthistuff/Decaying-Shelters-Rhino

38f5669f34da886bf4740f7fcaa9383872a1bf5b

[ "MIT" ]

1

2019-04-23T02:25:54.000Z

2019-04-23T12:41:50.000Z

run_app.py

matthistuff/Decaying-Shelters-Rhino

38f5669f34da886bf4740f7fcaa9383872a1bf5b

[ "MIT" ]

null

from core import simulation simulation.DSSim()

15.666667

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47

6.5

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0.106383

47

3

28

15.666667

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0

1

0

null

0

1

0

1

0

5

f2b13fb6417347f5b116ac05b7b3c8d2d6d79551

172

py

Python

UIU/cen_uiu/modules/system.py

neotje/CEN

00224668b6bc4bc0ecbe0df01137873b3a21b451

[ "MIT" ]

null

UIU/cen_uiu/modules/system.py

neotje/CEN

00224668b6bc4bc0ecbe0df01137873b3a21b451

[ "MIT" ]

12

2021-07-03T21:15:39.000Z

2021-11-04T17:40:45.000Z

UIU/cen_uiu/modules/system.py

neotje/CEN

00224668b6bc4bc0ecbe0df01137873b3a21b451

[ "MIT" ]

null

import os import threading def reboot(): os.system(f"sudo systemctl reboot") def shutdown(): os.system(f"sudo systemctl poweroff") def softReboot(): exit(10)

15.636364

41

0.697674

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172

5

0.583333

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172

11

42

15.636364

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true

0

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null

0

1

0

null

0

1

0

1

0

5

f2c8218f54d064cdcda1578071a97dab958f673e

95

py

Python

tools/test/topos/regionabc-onos.py

ariscahyadi/onos-1.14-with-indopronos-app

6fa525623abe3e2359c17f6187ce756985fe7053

[ "Apache-2.0" ]

1,091

2015-01-06T11:10:40.000Z

2022-03-30T09:09:05.000Z

tools/test/topos/regionabc-onos.py

ariscahyadi/onos-1.14-with-indopronos-app

6fa525623abe3e2359c17f6187ce756985fe7053

[ "Apache-2.0" ]

39

2015-02-13T19:58:32.000Z

2022-03-02T02:38:07.000Z

tools/test/topos/regionabc-onos.py

ariscahyadi/onos-1.14-with-indopronos-app

6fa525623abe3e2359c17f6187ce756985fe7053

[ "Apache-2.0" ]

914

2015-01-05T19:42:35.000Z

2022-03-30T09:25:18.000Z

#!/usr/bin/python from onosnet import run from regionabc import RegionABC run( RegionABC() )

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5.538462

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15.833333

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true

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null

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1

0

1

0

5

4b99c7beb40a7b4482d19b51aa0cba1e457f64d0

313

py

Python

ProteinFeatureAnalyzer/features/__init__.py

Kortemme-Lab/protein_feature_analysis

fa2ae8bc6eb7ecf17e8bf802ab30814461868114

[ "MIT" ]

6

2018-08-26T21:38:23.000Z

2021-08-13T02:43:38.000Z

ProteinFeatureAnalyzer/features/__init__.py

Kortemme-Lab/protein_feature_analysis

fa2ae8bc6eb7ecf17e8bf802ab30814461868114

[ "MIT" ]

null

ProteinFeatureAnalyzer/features/__init__.py

Kortemme-Lab/protein_feature_analysis

fa2ae8bc6eb7ecf17e8bf802ab30814461868114

[ "MIT" ]

1

2018-01-06T05:46:55.000Z

from .RamachandranFeature import RamachandranFeature from .BackboneMicroEnvironmentFeature import BackboneMicroEnvironmentFeature from .StructuralHomologFeature import StructuralHomologFeature from .ParametricDesignFeature import ParametricDesignFeature from . import machine_learning from . import geometry

26.083333

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12.043478

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0.092652

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11

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0

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null

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0

1

0

1

0

5

4b9cadca825bcdf82facc5fd3f43d29ca9bba0f7

98

py

Python

temporary/__init__.py

mojtabah/temporary

02b63e247f5c21fc33943697ce9f96e317a3824a

[ "BSD-3-Clause" ]

null

temporary/__init__.py

mojtabah/temporary

02b63e247f5c21fc33943697ce9f96e317a3824a

[ "BSD-3-Clause" ]

null

temporary/__init__.py

mojtabah/temporary

02b63e247f5c21fc33943697ce9f96e317a3824a

[ "BSD-3-Clause" ]

null

""" temporary - an example repo for MSF Devops """ from .math import * from .string_util import *

16.333333

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43

16.333333

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0.428571

0

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0

1

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null

0

1

0

1

0

1

0

5

4ba25860ded369a0cba278edc78b1051abf69301

49

py

Python

5/5-2(whilePractice2).py

sukio-1024/codeitPy

43f4c6d5205eab9cb4780ceb8799b04ce7b10acb

[ "MIT" ]

null

5/5-2(whilePractice2).py

sukio-1024/codeitPy

43f4c6d5205eab9cb4780ceb8799b04ce7b10acb

[ "MIT" ]

null

5/5-2(whilePractice2).py

sukio-1024/codeitPy

43f4c6d5205eab9cb4780ceb8799b04ce7b10acb

[ "MIT" ]

null

i = 100 while (i % 23) != 0: i += 1 print(i)

9.8

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2.1

0.7

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1

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1

0

1

0

null

0

5

4ba7b89646ddfba012a56cbdddabfc18270549af

260

py

Python

kqueen/auth/__init__.py

LaudateCorpus1/kqueen

8841c069bb5a53ae18affc0222356956220bbd47

[ "MIT" ]

140

2017-09-28T06:07:40.000Z

2022-01-17T09:10:39.000Z

kqueen/auth/__init__.py

LaudateCorpus1/kqueen

8841c069bb5a53ae18affc0222356956220bbd47

[ "MIT" ]

128

2017-09-26T06:51:30.000Z

2018-10-11T13:15:13.000Z

kqueen/auth/__init__.py

LaudateCorpus1/kqueen

8841c069bb5a53ae18affc0222356956220bbd47

[ "MIT" ]

39

2017-10-02T13:57:19.000Z

2021-11-30T05:30:52.000Z

from .common import authenticate, identity, encrypt_password, is_authorized from .ldap import LDAPAuth from .local import LocalAuth __all__ = [ 'authenticate', 'identity', 'encrypt_password', 'is_authorized', 'LDAPAuth', 'LocalAuth' ]

20

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6.769231

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0

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12

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21.666667

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1

0

null

0

1

0

5

29be3f492ff397f192db659c2316ff93d32909f7

35,912

py

Python

tests/unit_tests/test_parsers.py

drahoja9/BI-OOP-CAD

afec7d44b1c5502a6bf94f78759c46337f750ea3

[ "MIT" ]

null

tests/unit_tests/test_parsers.py

drahoja9/BI-OOP-CAD

afec7d44b1c5502a6bf94f78759c46337f750ea3

[ "MIT" ]

null

tests/unit_tests/test_parsers.py

drahoja9/BI-OOP-CAD

afec7d44b1c5502a6bf94f78759c46337f750ea3

[ "MIT" ]

null

import pytest from app.parsers.cli_parser import CliParser from app.parsers.low_level_parsers import StringParser, NatParser, IntParser from app.parsers.point_parsers import ParserPoint from app.parsers.parse_results import Success, Failure from app.parsers.point_parsers import PointParser, AbsoluteParserPoint, RelativeParserPoint from app.parsers.color_parser import RgbColorParser from app.parsers.command_parsers import CommandParser from app.controller import Controller from app.commands import PrintDotCommand, PrintRectCommand, PrintCircleCommand, PrintLineCommand, PrintPolylineCommand, \ RemoveShapeCommand, ListShapeCommand, MoveShapeCommand, ClearCommand, InvalidCommand, SaveCommand, LoadCommand,\ QuitCommand from app.shape_factory import DimensionsRectFactory, DimensionsCircleFactory @pytest.fixture def controller() -> Controller: controller: Controller = "controller" return controller @pytest.fixture def cli_parser() -> CliParser: controller: Controller = "controller" return CliParser(controller, RgbColorParser()) # --------------- Low level parsers tests --------------- def test_string_parser(): """ Test StringParser used for parsing exact word from the beginning of a given string. """ # Test invalid inputs without a delimiter invalid_inputs = [('rect', 'recta'), ('rect', 'list rect'), ('rect', 'rect, '), ('rect', 'rect('), ('rect', 'RECT'), ('rect', 'circle'), ('rect', ' circle'), ('rect', 'rect10,20 30,40')] for expected, actual in invalid_inputs: parser = StringParser(expected, '') result = parser.parse_input(actual) assert isinstance(result, Failure) # Test valid inputs without a delimiter valid_inputs = [('rect', 'rect +10 -10', '+10 -10'), ('rect', 'rect anything ', 'anything '), ('rect', 'rect +1002', '+1002'), ('rect', ' rect + 1 0 1 2', '+ 1 0 1 2'), ('rect', ' rect', ''), ('rect', ' rect +10', '+10')] for expected, actual, remainder in valid_inputs: parser = StringParser(expected, '') result = parser.parse_input(actual) assert result == Success(expected, remainder) # Test invalid inputs with a delimiter invalid_inputs = [('rgb', '(', 'rg b(20,20,20)'), ('rgb', '(', ' rgb2(0...'), ('rgb', '(', 'rgb 20...')] for expected, delimiter, actual in invalid_inputs: parser = StringParser(expected, delimiter) result = parser.parse_input(actual) assert isinstance(result, Failure) # Test valid inputs with a delimiter valid_inputs = [('rgb', '(', 'rgb(20,20,20)', '20,20,20)'), ('rgb', '(', ' rgb(20...', '20...'), ('rgb', '(', 'rgb (20...', '20...'), ('rgb', '(', 'rgb ( 20...', '20...')] for expected, delimiter, actual, remainder in valid_inputs: parser = StringParser(expected, delimiter) result = parser.parse_input(actual) assert result == Success(expected, remainder) def test_nat_parser(): """ Test NatParser's method "parse_input" used for parsing natural numbers (^\d+(\s+|$)) from a string. """ parser = NatParser() # Test invalid inputs without a delimiter invalid_inputs = ['+10', '-10', '+1 ', '-1', '+10.5', '10.5', '+ 10', '- 10', '+-10', '+- 10', '1-0', '10+', '+10+10', 'k10', 'k 10', 'k+10', 'k +10', 'k + 10', 'k1k0', '1k0', 'k 10+', 'k1', ' +10', '10k', '10-k', '1k', '+10lalala', "", "lala", " ", " ", "+", '10#', '10$', '10^^', '10^4', '10>', # special characters '10.', '10:', '10-', '1/', '1\\', '10\"', "10\'", '10?', '1!', # word delimiters '10(', '10)', '10{', '10}', '10[', '10]'] # brackets for cli_input in invalid_inputs: result = parser.parse_input(cli_input) assert isinstance(result, Failure) # Test invalid inputs with a delimiter invalid_inputs = [('+10_', '.'), ('10_', ','), ('10.$', '$'), ('10, 20', ' ')] for cli_input, delimiter in invalid_inputs: parser = NatParser(delimiter) result = parser.parse_input(cli_input) assert isinstance(result, Failure) # Test valid inputs valid_inputs = [('10,+20', ',', 10, '+20'), ('10 some string +10 yes', ' ', 10, 'some string +10 yes'), ('10A delimiterA remainder', 'A delimiter', 10, 'A remainder'), ('10', '', 10, ''), (' 10 ', '', 10, ''), (' 10', '', 10, ''), ('10 ', '', 10, ''), ('10, 12, ', ',', 10, '12, '), (' 10 , 20', ',', 10, '20'), (' 10,20', ',', 10, '20'), (' 10 ,20 ', ',', 10, '20 '), (' 10, 20', ',', 10, '20'), ('10, ', ',', 10, '')] for cli_input, delimiter, expected, remainder in valid_inputs: parser = NatParser(delimiter) result = parser.parse_input(cli_input) assert result == Success(expected, remainder) def test_int_parser(): """ Test IntParser's method "parse_input" used for parsing integer ([+-]\d+(\s+|$)) from a string. """ # Test invalid inputs without a delimiter invalid_inputs = ['10', '+10.5', '10.5', '+ 10', '+-10', '+- 10', '1-0', '10+', '10 +', '+10+10', 'k10', 'k 10', 'k+10', 'k +10', 'k + 10', 'k1k0', '1k0', 'k 10+', 'k1', '10k', '10 k', '10 +k', '10-k', '1k', '+10lalala', "", "lala", " ", " ", "+", '+10#', '+10$', '+10^^', '+10^4', '+10>', # special characters '+10.', '+10:', '+10-', '+1/', '+1\\', '+10\"', "+10\'", '+10?', '+1!', # word delimiters '+10(', '+10)', '+10{', '+10}', '+10[', '+10]'] # brackets for cli_input in invalid_inputs: parser = IntParser() result = parser.parse_input(cli_input) assert isinstance(result, Failure) # Test invalid inputs with a delimiter invalid_inputs = [('+10_', '.'), ('-10_', ','), ('-10.$', '$'), ('-10, -20', ' '), ('-10', '-10')] for cli_input, delimiter in invalid_inputs: parser = IntParser(delimiter) result = parser.parse_input(cli_input) assert isinstance(result, Failure) # Test valid inputs valid_inputs = [('+10,+20', ',', 10, '+20'), ('-1005+200', '+', -1005, '200'), ('-10 some string +10 yes', ' ', -10, 'some string +10 yes'), ('-10A delimiterA remainder', 'A delimiter', -10, 'A remainder'), ('+10', '', 10, ''), (' +10 ', '', 10, ''), (' +10', '', 10, ''), ('+10 ', '', 10, ''), ('-10, 12, ', ',', -10, '12, '), (' +10 , 20', ',', 10, '20'), (' -10,20', ',', -10, '20'), (' -10 ,20 ', ',', -10, '20 '), (' +10, 20', ',', 10, '20'), ('+10, ', ',', 10, '')] for cli_input, delimiter, expected, remainder in valid_inputs: parser = IntParser(delimiter) result = parser.parse_input(cli_input) assert result == Success(expected, remainder) # --------------- ColorParsers test --------------- def test_rgb_color_parser(): """ Test RgbColorParser's parsing of color in 'rgb([0,255],[0,255],[0,255])' format. """ parser = RgbColorParser() # Test invalid inputs invalid_inputs = ["r gb(0,1,2)", "rgb 0,1,2)", "rgb(0,1,2", "rgb(-5,1,2)", "rgb(-5,-1-2)", "rgb(256,1,2)", "rgb(0,256,2)", "rgb(0,1,256)", "rgb(260,300,600)"] for cli_input in invalid_inputs: result = parser.parse_color(cli_input) assert result == Failure("rgb([0,255],[0,255],[0,255])", cli_input) valid_inputs = [("rgb(0,1,2)", (0, 1, 2), ""), ("rgb(255,255,255)", (255, 255, 255), ""), (" rgb( 0,1,2)", (0, 1, 2), ""), ("rgb (0, 1,2 )", (0, 1, 2), ""), ("rgb (0,1,2)", (0, 1, 2), ""), ("rgb (20,30,40) something else", (20, 30, 40), "something else"), ("rgb ( 0 ,1 , 2 ) something", (0, 1, 2), "something")] # Test valid inputs for cli_input, expected, remainder in valid_inputs: result = parser.parse_color(cli_input) assert result == Success(expected, remainder) # --------------- PointParser tests --------------- def test_point_parser_absolute_points(): """ Test PointParser's parsing of absolute points. """ parser = PointParser() # Test invalid inputs invalid_inputs = ['1020', '10 20', '10.20', '10', '10,', 'x,20', '10,y', 'x,y'] for cli_input in invalid_inputs: result = parser.parse_point(cli_input) assert result == Failure("x,y or (+-)x,(+-)y", cli_input) # Test valid inputs valid_inputs = [('10,20', AbsoluteParserPoint(10, 20), ''), ('10,20 ', AbsoluteParserPoint(10, 20), ''), ('10 ,20', AbsoluteParserPoint(10, 20), ''), ('10, 20', AbsoluteParserPoint(10, 20), ''), ('10 , 20', AbsoluteParserPoint(10, 20), ''), (' 10 , 20', AbsoluteParserPoint(10, 20), ''), (' 10 , 20 something', AbsoluteParserPoint(10, 20), 'something'), ('100,250 something', AbsoluteParserPoint(100, 250), 'something'), ('0,0', AbsoluteParserPoint(0, 0), ''), ('10,20 30,40', AbsoluteParserPoint(10, 20), '30,40')] for cli_input, expected, remainder in valid_inputs: result = parser.parse_point(cli_input) assert result == Success(expected, remainder) def test_point_parser_relative_points(): """ Test PointParser's parsing of relative points. """ parser = PointParser() # Test invalid inputs invalid_inputs = ['-10 -20', '-10.-20', '+10', '+ 10,-20', '+10,- 20', '-10,', '+x,-20', '-10,+y', '-x,-y'] for cli_input in invalid_inputs: result = parser.parse_point(cli_input) assert result == Failure("x,y or (+-)x,(+-)y", cli_input) # Test valid inputs valid_inputs = [('-10,+20', RelativeParserPoint(-10, 20), ''), ('+10,+20 ', RelativeParserPoint(10, 20), ''), ('-10 ,-20', RelativeParserPoint(-10, -20), ''), ('+10, -20', RelativeParserPoint(10, -20), ''), ('-10 , +20', RelativeParserPoint(-10, 20), ''), (' +10 , -20', RelativeParserPoint(10, -20), ''), (' +10 , -20 something', RelativeParserPoint(10, -20), 'something'), ('+100,-250 something', RelativeParserPoint(100, -250), 'something'), ('-0,+0', RelativeParserPoint(0, 0), ''), ('+10,-20 30,40', RelativeParserPoint(10, -20), '30,40')] for cli_input, expected, remainder in valid_inputs: result = parser.parse_point(cli_input) assert result == Success(expected, remainder) # --------------- RelativeParserPoint to AbsoluteParserPoint conversion tests --------------- def test_relative_parser_point_conversion(): points = [(RelativeParserPoint(10, 20), ParserPoint(0, 0), AbsoluteParserPoint(10, 20)), (RelativeParserPoint(-10, 10), ParserPoint(10, -10), AbsoluteParserPoint(0, 0)), (RelativeParserPoint(10, -10), ParserPoint(-10, 10), AbsoluteParserPoint(0, 0)), (RelativeParserPoint(10, 20), ParserPoint(10, 20), AbsoluteParserPoint(20, 40)), (RelativeParserPoint(10, 20), ParserPoint(-10, -20), AbsoluteParserPoint(0, 0))] for relative_point, predecessor_point, result_point in points: assert relative_point.convert_to_absolute(predecessor_point) == result_point def test_absolute_parser_point_conversion(): points = [(AbsoluteParserPoint(10, 20), ParserPoint(0, 0), AbsoluteParserPoint(10, 20)), (AbsoluteParserPoint(10, 20), ParserPoint(30, 40), AbsoluteParserPoint(10, 20)), (AbsoluteParserPoint(10, 20), ParserPoint(-10, -20), AbsoluteParserPoint(10, 20))] for absolute_point, predecessor_point, result_point in points: assert absolute_point.convert_to_absolute(predecessor_point) == result_point # --------------- ShapeCommandParsers tests --------------- def test_circle_parser(controller: Controller, cli_parser: CliParser): # Test invalid inputs, two points as parameters invalid_inputs = ["circle 10,-20 30,40", "circle 10,20 30,+40", "circle 10,20 30.40", "circle 10 20 30,40", "circle10,20 30,40", "circle 10,20", "circlee 10,20 30,40", "circle something", "circle 10,20 30,40 rgb(0,0,-1)", "circle 10,20 30,40 rgb(0,0,0", "circle 10,20 30,40 rgb 0,0,0", "circle 10,20 30,40 rgb(0,1)", "circle 10,20 30,40rgb(0,1,2)", "circle 10,20 30,40 rgb(1a,2,3)", "circle 10,20 30,40,rgb(0,2,3)", "circle 10,20 30,40 rgb(256,0,1)", "circle 10,20 30,40 rgb(2.0.1)", "circle 10,20 30,40 rgb(123)" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs, two points as parameters valid_inputs = [("circle 10,20 30,40", PrintCircleCommand(controller, 10, 20, (0, 0, 0), end_x=30, end_y=40)), ("circle 10, 20 -10,-20", PrintCircleCommand(controller, 10, 20, (0, 0, 0), end_x=0, end_y=0)), ("circle -5,-5 +5, +5", PrintCircleCommand(controller, -5, -5, (0, 0, 0), end_x=0, end_y=0)), ("circle -5 ,-5 10,20 ", PrintCircleCommand(controller, -5, -5, (0, 0, 0), end_x=10, end_y=20)), ("circle 10 ,20 30, 40 rgb (10,20,30)", PrintCircleCommand(controller, 10, 20, (10, 20, 30), end_x=30, end_y=40)), (" circle 10,20 -10, -20 rgb( 0, 0 , 0 ) ", PrintCircleCommand(controller, 10, 20, (0, 0, 0), end_x=0, end_y=0)) ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected # Test invalid inputs, one point and one natural number (radius) as parameters invalid_inputs = ["circle 10,20 30 40", "circle 10,20 +30", "circle 10,20 -30", "circle 10,20", "circle10,20 30", "circlee 10,20 30", "circle 10,20 something", "circle 10,20 30 rgb(0,0,-1)", "circle 10,20 30 rgb(0,0,0", "circle 10,20 30 rgb 0,0,0", "circle 10,20 30 rgb(0,1)", "circle 10,20 30rgb(0,1,2)", "circle 10,20 30 rgb(1a,2,3)", "circle 10,20 30,rgb(0,2,3)", "circle 10,20 30 rgb(256,0,1)", "circle 10,20 30 rgb(2.0.1)", "circle 10,20 30 rgb(123)" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs, one point and one natural number (radius) as parameters valid_inputs = [("circle 10, 20 30", PrintCircleCommand(controller, 10, 20, (0, 0, 0), DimensionsCircleFactory, radius=30)), ("circle -5 ,-5 30 ", PrintCircleCommand(controller, -5, -5, (0, 0, 0), DimensionsCircleFactory, radius=30)), (" circle 10 , 20 30 rgb (10, 20,30)", PrintCircleCommand(controller, 10, 20, (10, 20, 30), DimensionsCircleFactory, radius=30)), ("circle 10, 20 30 rgb (0, 0 , 0 ) ", PrintCircleCommand(controller, 10, 20, (0, 0, 0), DimensionsCircleFactory, radius=30)) ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected def test_rect_parser(controller: Controller, cli_parser: CliParser): """ :return: """ # Test invalid inputs, two points as parameters invalid_inputs = ["rect 10,-20 30,40", "rect 10,20 30,+40", "rect 10,20 30.40", "rect 10 20 30,40", "rect10,20 30,40", "rect 10,20", "rectt 10,20 30,40", "rect something", "rect 10,20 30,40 rgb(0,0,-1)", "rect 10,20 30,40 rgb(0,0,0", "rect 10,20 30,40 rgb 0,0,0", "rect 10,20 30,40 rgb(0,1)", "rect 10,20 30,40rgb(0,1,2)", "rect 10,20 30,40 rgb(1a,2,3)", "rect 10,20 30,40,rgb(0,2,3)", "rect 10,20 30,40 rgb(256,0,1)", "rect 10,20 30,40 rgb(2.0.1)", "rect 10,20 30,40 rgb(123)" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs, two points as parameters valid_inputs = [("rect 10,20 30,40", PrintRectCommand(controller, 10, 20, (0, 0, 0), end_x=30, end_y=40)), ("rect 10 , 20 -10 ,-20", PrintRectCommand(controller, 10, 20, (0, 0, 0), end_x=0, end_y=0)), (" rect -5 ,-5 +5,+5 ", PrintRectCommand(controller, -5, -5, (0, 0, 0), end_x=0, end_y=0)), ("rect -5,-5 10, 20", PrintRectCommand(controller, -5, -5, (0, 0, 0), end_x=10, end_y=20)), ("rect 10,20 30,40 rgb (10,20,30)", PrintRectCommand(controller, 10, 20, (10, 20, 30), end_x=30, end_y=40)), (" rect 10,20 -10 , -20 rgb(0 , 0 ,0 ) ", PrintRectCommand(controller, 10, 20, (0, 0, 0), end_x=0, end_y=0)) ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected # Test invalid inputs, one point and two natural numbers (width and height) as parameters invalid_inputs = ["rect 10,-20 30 40", "rect 10,20 30 +40", "rect 10,20 -30 40", "rect 10 20 30 40", "rect10,20 30 40", "rect 10,20", "rect 10,20 30", "rectt 10,20 30 40", "rect 10,20 something", "rect 10,20 30 something", "rect 10,20 30 40 rgb(0,0,-1)", "rect 10,20 30 40 rgb(0,0,0", "rect 10,20 30 40 rgb 0,0,0", "rect 10,20 30 40 rgb(0,1)", "rect 10,20 30 40rgb(0,1,2)", "rect 10,20 30 40 rgb(1a,2,3)", "rect 10,20 30 40,rgb(0,2,3)", "rect 10,20 30 40 rgb(256,0,1)", "rect 10,20 30 40 rgb(2.0.1)", "rect 10,20 30 40 rgb(123)" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs, one point and two natural numbers (width and height) as parameters valid_inputs = [("rect 10 ,20 20 20", PrintRectCommand(controller, 10, 20, (0, 0, 0), DimensionsRectFactory, width=20, height=20)), ("rect -10, -20 10 20", PrintRectCommand(controller, -10, -20, (0, 0, 0), DimensionsRectFactory, width=10, height=20)), (" rect +10, +20 0 5 ", PrintRectCommand(controller, 10, 20, (0, 0, 0), DimensionsRectFactory, width=0, height=5)), ("rect +10, -20 20 20 rgb( 10,20,30 )", PrintRectCommand(controller, 10, -20, (10, 20, 30), DimensionsRectFactory, width=20, height=20)), ("rect -10 , +20 1000 2 rgb ( 0 , 0 ,0 )", PrintRectCommand(controller, -10, 20, (0, 0, 0), DimensionsRectFactory, width=1000, height=2)), ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected def test_dot_parser(controller: Controller, cli_parser: CliParser): """ :return: """ # Test invalid inputs invalid_inputs = ["dot 10,-20", "dot +10,20", "dot 10.20", "dot 10 20", "dot10,20", "dot 10,20 30,40", "dott 10,20", "dot something", "dot 10,20 rgb(0,0,-1)", "dot 10,20 30,40 rgb(0,0,0", "dot 10,20 rgb 0,0,0", "dot 10,20 rgb(0,1)", "dot 10,20rgb(0,1,2)", "dot 10,20 rgb(1a,2,3)", "dot 10,20,rgb(0,2,3)", "dot 10,20 rgb(256,0,1)", "dot 10,20 rgb(2.0.1)", "dot 10,20 rgb(123)" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs valid_inputs = [("dot 10, 20", PrintDotCommand(controller, 10, 20, (0, 0, 0))), ("dot -10 ,+20", PrintDotCommand(controller, -10, +20, (0, 0, 0))), (" dot -5,-5 ", PrintDotCommand(controller, -5, -5, (0, 0, 0))), ("dot 10,20 rgb (10,20,30) ", PrintDotCommand(controller, 10, 20, (10, 20, 30))), ("dot -10 , -20 rgb ( 0 , 0, 0 ) ", PrintDotCommand(controller, -10, -20, (0, 0, 0))) ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected def test_line_parser(controller: Controller, cli_parser: CliParser): invalid_inputs = ["line 10,-20 30,40", "line 10,20 30,+40", "line 10,20 30.40", "line 10 20 30,40", "line10,20 30,40", "line 10,20", "linet 10,20 30,40", "line something", "line 10,20 30,40 rgb(0,0,-1)", "line 10,20 30,40 rgb(0,0,0", "line 10,20 30,40 rgb 0,0,0", "line 10,20 30,40 rgb(0,1)", "line 10,20 30,40rgb(0,1,2)", "line 10,20 30,40 rgb(1a,2,3)", "line 10,20 30,40,rgb(0,2,3)", "line 10,20 30,40 rgb(256,0,1)", "line 10,20 30,40 rgb(2.0.1)", "line 10,20 30,40 rgb(123)" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs, two points valid_inputs = [("line 10 ,20 30,40", PrintLineCommand(controller, 10, 20, 30, 40, (0, 0, 0))), ("line 10, 20 -10, -20", PrintLineCommand(controller, 10, 20, 0, 0, (0, 0, 0))), (" line -5,-5 +5,+5 ", PrintLineCommand(controller, -5, -5, 0, 0, (0, 0, 0))), ("line -5,-5 10,20", PrintLineCommand(controller, -5, -5, 10, 20, (0, 0, 0))), (" line 10, 20 30, 40 rgb(10,20, 30)", PrintLineCommand(controller, 10, 20, 30, 40, (10, 20, 30))), ("line 10, 20 -10 , -20 rgb ( 0, 0 , 0 ) ", PrintLineCommand(controller, 10, 20, 0, 0, (0, 0, 0))) ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected # Test invalid inputs, three points invalid_inputs = ["line 10,20 30,40 50,-60", "line 10,20 30,40 50,+60", "line 10,20 30,40 50.60", "line 10,20 30,40 50 60", "line 10,20 30,40 something", "line 10,20 30,40 50,60 rgb(0,0,-1)", "line 10,20 30,40 50,60 rgb(0,0,0", "line 10,20 30,40 rgb 0,0,0", "line 10,20 30,40 50,60 rgb(0,1)", "line 10,20 30,40 50,60 rgb(1a,2,3)", "line 10,20 30,40,50,60 rgb(0,2,3)", "line 10,20 30,40 50,60 rgb(256,0,1)", "line 10,20 30,40 50,60 rgb(2.0.1)", "line 10,20 30,40 50,60rgb(0,1,2)", "line 10,20 30,40 50,60 rgb(123)" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs, three points valid_inputs = [("line 10,20 30 ,40 50, 60", PrintPolylineCommand(controller, [(10, 20), (30, 40), (50, 60)], (0, 0, 0))), (" line 10 ,20 -10,-20 10,20", PrintPolylineCommand(controller, [(10, 20), (0, 0), (10, 20)], (0, 0, 0))), ("line -5, -5 +5,+5 5 ,5", PrintPolylineCommand(controller, [(-5, -5), (0, 0), (5, 5)], (0, 0, 0))), ("line -5 , -5 10,20 -10,-20", PrintPolylineCommand(controller, [(-5, -5), (10, 20), (0, 0)], (0, 0, 0))), ("line 10,20 30 ,40 50,60 rgb (10 ,20,30)", PrintPolylineCommand(controller, [(10, 20), (30, 40), (50, 60)], (10, 20, 30))), ("line 10 ,20 -10, -20 +30 ,+40 rgb ( 0, 0 , 0 ) ", PrintPolylineCommand(controller, [(10, 20), (0, 0), (30, 40)], (0, 0, 0))), ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected # Test invalid inputs, four points invalid_inputs = ["line 10,20 30,40 50,60 70,-80", "line 10,20 30,40 50,60 70,+80", "line 10,20 30,40 50,60 70.80", "line 10,20 30,40 50,60 70 80", "line 10,20 30,40 50,60 something", "line 10,20 30,40 50,60 70,80 rgb(0,0,-1)", "line 10,20 30,40 50,60 70,80 rgb(0,0,0", "line 10,20 30,40 50,60 70,80 rgb 0,0,0", "line 10,20 30,40 50,60 70,80 rgb(0,1)", "line 10,20 30,40 50,60 70,80 rgb(1a,2,3)", "line 10,20 30,40,50,60 70,80 rgb(0,2,3)", "line 10,20 30,40 50,60 70,80 rgb(256,0,1)", "line 10,20 30,40 50,60 70,80 rgb(2.0.1)", "line 10,20 30,40 50,60 70,80rgb(0,1,2)", "line 10,20 30,40 50,60 70,80 rgb(123)" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs, four points valid_inputs = [("line 10,20 30,40 50,60 70,80", PrintPolylineCommand(controller, [(10, 20), (30, 40), (50, 60), (70, 80)], (0, 0, 0))), ("line 10,20 -10,-20 10,20 -10,-20 ", PrintPolylineCommand(controller, [(10, 20), (0, 0), (10, 20), (0, 0)], (0, 0, 0))), ("line -5,-5 +5 , +5 5 ,5 -5,-5", PrintPolylineCommand(controller, [(-5, -5), (0, 0), (5, 5), (0, 0)], (0, 0, 0))), ("line -5 ,-5 10,20 -10,-20 10,20", PrintPolylineCommand(controller, [(-5, -5), (10, 20), (0, 0), (10, 20)], (0, 0, 0))), ("line 10,20 30,40 50,60 70,80 rgb(10,20,30)", PrintPolylineCommand(controller, [(10, 20), (30, 40), (50, 60), (70, 80)], (10, 20, 30))), (" line 10, 20 -10 , -20 +30,+40 -30 , -40 rgb (0 ,0 ,0 )", PrintPolylineCommand(controller, [(10, 20), (0, 0), (30, 40), (0, 0)], (0, 0, 0))), ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected # --------------- Other CommandParsers tests --------------- def test_move_shape_parser(controller: Controller, cli_parser: CliParser): # Test invalid inputs, two points as parameters invalid_inputs = ["move 10,-20 30,40", "move 10,20 30,+40", "move 10,20 30.40", "move 10 20 30,40", "move10,20 30,40", "move 10,20", "movee 10,20 30,40", "move something", ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs, two points as parameters valid_inputs = [("move 10,20 30,40", MoveShapeCommand(controller, 10, 20, 30, 40)), ("move 10,20 -10,-20", MoveShapeCommand(controller, 10, 20, 0, 0)), ("move 10 ,20 30, 40", MoveShapeCommand(controller, 10, 20, 30, 40)), (" move 10, 20 30 ,40 ", MoveShapeCommand(controller, 10, 20, 30, 40)), ("move 10 , 20 30 , 40", MoveShapeCommand(controller, 10, 20, 30, 40)), ("move -5,-5 +5,+5", MoveShapeCommand(controller, -5, -5, 0, 0)), ("move -5,-5 10,20", MoveShapeCommand(controller, -5, -5, 10, 20)) ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected def test_remove_shape_parser(controller: Controller, cli_parser: CliParser): # Test invalid inputs invalid_inputs = ["remove 10,-20", "remove +10,20", "remove 10.20", "remove 10 20", "remove10,20", "remove 10,20 30,40", "removet 10,20", "remove something", "remove 10,20 something" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs valid_inputs = [("remove 10,20", RemoveShapeCommand(controller, 10, 20)), ("remove 10, 20", RemoveShapeCommand(controller, 10, 20)), (" remove 10 ,20 ", RemoveShapeCommand(controller, 10, 20)), (" remove 10 , 20", RemoveShapeCommand(controller, 10, 20)), ("remove -10,+20", RemoveShapeCommand(controller, -10, +20)), ("remove -5,-5", RemoveShapeCommand(controller, -5, -5)) ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected def test_list_shape_parser(controller: Controller, cli_parser: CliParser): # Test invalid inputs invalid_inputs = ["ls 10,-20", "ls +10,20", "ls 10.20", "ls 10 20", "ls10,20", "ls 10,20 30,40", "lst 10,20", "ls 10,20 something", "ls something", "l s" ] for cli_input in invalid_inputs: command = cli_parser.parse_input(cli_input) assert command == InvalidCommand(controller) # Test valid inputs valid_inputs = [("ls 10,20", ListShapeCommand(controller, 10, 20)), ("ls 10 ,20 ", ListShapeCommand(controller, 10, 20)), (" ls 10 , 20", ListShapeCommand(controller, 10, 20)), ("ls -10,+20", ListShapeCommand(controller, -10, +20)), ("ls -5,-5", ListShapeCommand(controller, -5, -5)), ("ls", ListShapeCommand(controller)), ("ls ", ListShapeCommand(controller)), (" ls ", ListShapeCommand(controller)) ] for cli_input, expected in valid_inputs: command = cli_parser.parse_input(cli_input) assert command == expected def test_clear_parser(controller: Controller, cli_parser: CliParser): # Test valid inputs assert cli_parser.parse_input("clear") == ClearCommand(controller) assert cli_parser.parse_input(" clear") == ClearCommand(controller) assert cli_parser.parse_input(" clear ") == ClearCommand(controller) # Test invalid inputs assert cli_parser.parse_input("clear something") == InvalidCommand(controller) assert cli_parser.parse_input("clearsomething") == InvalidCommand(controller) def test_quit_parser(controller: Controller, cli_parser: CliParser): # Test valid inputs assert cli_parser.parse_input("quit") == QuitCommand(controller) assert cli_parser.parse_input(" quit") == QuitCommand(controller) assert cli_parser.parse_input(" quit ") == QuitCommand(controller) # Test invalid inputs assert cli_parser.parse_input("quit something") == InvalidCommand(controller) assert cli_parser.parse_input("quitsomething") == InvalidCommand(controller) def test_save_parser(controller: Controller, cli_parser: CliParser): # Test valid inputs assert cli_parser.parse_input("save") == SaveCommand(controller) assert cli_parser.parse_input(" save") == SaveCommand(controller) assert cli_parser.parse_input(" save ") == SaveCommand(controller) assert cli_parser.parse_input("save filename") == SaveCommand(controller, "filename") assert cli_parser.parse_input(" save filename something") == SaveCommand(controller, "filename something") # Test invalid inputs assert cli_parser.parse_input("savesomething") == InvalidCommand(controller) def test_load_parser(controller: Controller, cli_parser: CliParser): # Test valid inputs assert cli_parser.parse_input("load") == LoadCommand(controller) assert cli_parser.parse_input(" load") == LoadCommand(controller) assert cli_parser.parse_input(" load ") == LoadCommand(controller) assert cli_parser.parse_input("load filename") == LoadCommand(controller, "filename") assert cli_parser.parse_input(" load filename something") == LoadCommand(controller, "filename something") # Test invalid inputs assert cli_parser.parse_input("loadsomething") == InvalidCommand(controller) def test_points_conversion(controller: Controller): """ Test CommandParser's conversion of RelativeParserPoints to AbsoluteParserPoints. """ parser = CommandParser(controller) # Convert only RelativeParserPoints points_before_conversion = [RelativeParserPoint(-10, 20), RelativeParserPoint(10, -20), RelativeParserPoint(-5, -5)] points_after_conversion = [AbsoluteParserPoint(-10, 20), AbsoluteParserPoint(0, 0), AbsoluteParserPoint(-5, -5)] assert parser.convert_points(points_before_conversion) == points_after_conversion # Convert RelativeParserPoints and AbsoluteParserPoints, first point is relative points_before_conversion = [RelativeParserPoint(-10, 20), AbsoluteParserPoint(10, -20), RelativeParserPoint(-5, -5)] points_after_conversion = [AbsoluteParserPoint(-10, 20), AbsoluteParserPoint(10, -20), AbsoluteParserPoint(5, -25)] assert parser.convert_points(points_before_conversion) == points_after_conversion # Convert RelativeParserPoints and AbsoluteParserPoints, first point is absolute points_before_conversion = [AbsoluteParserPoint(-10, 20), RelativeParserPoint(10, -20), RelativeParserPoint(-5, -5)] points_after_conversion = [AbsoluteParserPoint(-10, 20), AbsoluteParserPoint(0, 0), AbsoluteParserPoint(-5, -5)] assert parser.convert_points(points_before_conversion) == points_after_conversion # Convert only AbsoluteParserPoints points_before_conversion = [AbsoluteParserPoint(-10, 20), AbsoluteParserPoint(0, 0), AbsoluteParserPoint(-5, -5)] points_after_conversion = [AbsoluteParserPoint(-10, 20), AbsoluteParserPoint(0, 0), AbsoluteParserPoint(-5, -5)] assert parser.convert_points(points_before_conversion) == points_after_conversion # Empty list conversion try: parser.convert_points([]) assert False except AttributeError: assert True

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null

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1

0

1

0

null

0

5

29decfd1b33175f9c7e044678bf834df1bcb32bc

234

py

Python

api/contract/admin.py

sttpforever/Account_lite

2f4f42b50d4aff4aabaeb9325abefcf866cd4612

[ "MIT" ]

null

api/contract/admin.py

sttpforever/Account_lite

2f4f42b50d4aff4aabaeb9325abefcf866cd4612

[ "MIT" ]

null

api/contract/admin.py

sttpforever/Account_lite

2f4f42b50d4aff4aabaeb9325abefcf866cd4612

[ "MIT" ]

null

from django.contrib import admin from .models import MyUser, Project, Customer, Bank, Check admin.site.register(Project) admin.site.register(Customer) admin.site.register(Bank) admin.site.register(Check) admin.site.register(MyUser)

23.4

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null

0

1

0

5

29e42a7ee76ba009bbc7ab470a4df86475408614

6,233

py

Python

backend/app/app/tests/api/api_v1/test_endpoints.py

totalhack/zar

e50a5f96f9df1316ca4205309920401c19db6e31

[ "MIT" ]

1

2020-11-02T14:31:30.000Z

backend/app/app/tests/api/api_v1/test_endpoints.py

totalhack/zar

e50a5f96f9df1316ca4205309920401c19db6e31

[ "MIT" ]

null

backend/app/app/tests/api/api_v1/test_endpoints.py

totalhack/zar

e50a5f96f9df1316ca4205309920401c19db6e31

[ "MIT" ]

null

from fastapi.testclient import TestClient from sqlalchemy.orm import Session from tlbx import st, pp from app.core.config import settings from app.number_pool import NumberPoolResponseStatus SAMPLE_PAGE_REQUEST = { "type": "page", "properties": { "title": "Page One", "url": "http://localhost:8080/one", "path": "/one", "hash": "", "search": "", "width": 1680, "height": 619, "referrer": "http://localhost:8080/one", "zar": { "cid": { "id": "29d7dfba-47ed-4305-ad91-e0625101afbf", "t": 1604071692653, "origReferrer": "http://localhost:8080/one", "isNew": True, "visits": 1, }, "sid": { "id": "d3901827-c280-446e-bd8f-fcf8deb12f2d", "t": 1604071692653, "origReferrer": "http://localhost:8080/one", "isNew": True, "visits": 1, }, "vid": { "id": "kgwevbe3.ryqmjkraheq", "t": 1604071692651, "origReferrer": "http://localhost:8080/one", "isNew": True, "visits": 1, }, }, }, "options": {}, "userId": None, "anonymousId": "29d7dfba-47ed-4305-ad91-e0625101afbf", "meta": {"timestamp": 1604071694775}, } def test_endpoint_page(client: TestClient) -> None: resp = client.post(f"{settings.API_V1_STR}/page", json=SAMPLE_PAGE_REQUEST) assert resp.status_code == 200 data = resp.json() pp(data) assert data.get("id", None) SAMPLE_TRACK_REQUEST = { "type": "track", "event": "event1", "properties": { "attr1": "val1", "attr2": "val2", "zar": { "cid": { "id": "29d7dfba-47ed-4305-ad91-e0625101afbf", "t": 1604071705447, "origReferrer": "http://localhost:8080/one", "isNew": False, "visits": 3, }, "sid": { "id": "d3901827-c280-446e-bd8f-fcf8deb12f2d", "t": 1604071692653, "origReferrer": "http://localhost:8080/one", "isNew": True, "visits": 1, }, "vid": { "id": "kgwevbe3.ryqmjkraheq", "t": 1604071692651, "origReferrer": "http://localhost:8080/one", "isNew": True, "visits": 1, }, }, "anonymousId": "29d7dfba-47ed-4305-ad91-e0625101afbf", "category": "All", }, "options": {}, "userId": None, "anonymousId": "29d7dfba-47ed-4305-ad91-e0625101afbf", "meta": {"timestamp": 1604072961820}, } def test_endpoint_track(client: TestClient) -> None: resp = client.post(f"{settings.API_V1_STR}/track", json=SAMPLE_TRACK_REQUEST) assert resp.status_code == 200 data = resp.json() pp(data) assert data.get("id", None) SAMPLE_NUMBER_POOL_REQUEST = { "pool_id": "1", "number": None, "context": {"foo": "bar", "baz": "bar"}, "properties": { "attr1": "val1", "attr2": "val2", "zar": { "cid": { "id": "29d7dfba-47ed-4305-ad91-e0625101afbf", "t": 1604071705447, "origReferrer": "http://localhost:8080/one", "isNew": False, "visits": 3, }, "sid": { "id": "d3901827-c280-446e-bd8f-fcf8deb12f2d", "t": 1604071692653, "origReferrer": "http://localhost:8080/one", "isNew": True, "visits": 1, }, "vid": { "id": "kgwevbe3.ryqmjkraheq", "t": 1604071692651, "origReferrer": "http://localhost:8080/one", "isNew": True, "visits": 1, }, }, "anonymousId": "29d7dfba-47ed-4305-ad91-e0625101afbf", "category": "All", }, "options": {}, "userId": None, "anonymousId": "29d7dfba-47ed-4305-ad91-e0625101afbf", "meta": {"timestamp": 1604072961820}, } def test_endpoint_number_pool(client: TestClient) -> None: resp = client.post( f"{settings.API_V1_STR}/number_pool", json=SAMPLE_NUMBER_POOL_REQUEST ) assert resp.status_code == 200 data = resp.json() pp(data) assert data.get("status", None) == NumberPoolResponseStatus.SUCCESS SAMPLE_TRACK_CALL_REQUEST = { "key": "abc", "call_id": "1234", "call_from": "5551235555", "call_to": "5551235556", } def test_endpoint_call_track_error(client: TestClient) -> None: resp = client.post( f"{settings.API_V1_STR}/track_call", json=SAMPLE_TRACK_CALL_REQUEST ) assert resp.status_code == 200 data = resp.json() pp(data) # We didn't create a number context so this should respond with an error assert data.get("status", None) == NumberPoolResponseStatus.ERROR def test_endpoint_call_track_success(client: TestClient) -> None: resp = client.get( f"{settings.API_V1_STR}/reset_pool", params=dict(key="abc", pool_id=1, preserve=False), ) assert resp.status_code == 200 resp = client.post( f"{settings.API_V1_STR}/number_pool", json=SAMPLE_NUMBER_POOL_REQUEST ) assert resp.status_code == 200 data = resp.json() pp(data) assert data.get("status", None) == NumberPoolResponseStatus.SUCCESS number = data["number"] track_call_req = SAMPLE_TRACK_CALL_REQUEST.copy() track_call_req["call_to"] = number pp(track_call_req) resp = client.post(f"{settings.API_V1_STR}/track_call", json=track_call_req) assert resp.status_code == 200 data = resp.json() pp(data) assert data.get("status", None) == NumberPoolResponseStatus.SUCCESS # route context should come into play on this one resp = client.post(f"{settings.API_V1_STR}/track_call", json=track_call_req) assert resp.status_code == 200 data = resp.json() pp(data) assert data.get("status", None) == NumberPoolResponseStatus.SUCCESS

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0

null

0

1

0

null

0

5

29f6122a6d2aab376f6acd5eeb28c6718c45b614

41

py

Python

22.py

qi15176370875/text

aec39c6d269b8f69793b294c2105bee15d202c71

[ "MIT" ]

2

2019-03-04T09:33:19.000Z

2019-03-04T09:33:24.000Z

22.py

qi15176370875/text

aec39c6d269b8f69793b294c2105bee15d202c71

[ "MIT" ]

null

22.py

qi15176370875/text

aec39c6d269b8f69793b294c2105bee15d202c71

[ "MIT" ]

null

a = 11220 b = 15165 c = 15616 c = 225565

8.2

10

0.609756

8

41

3.125

0.875

0

0.724138

0.292683

41

4

11

10.25

0.137931

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

4b03a01bc6ebcf4ad53a41a9d3fcd311da2d348c

71

py

Python

calculate.py

cu-swe4s-fall-2020/version-control-nabbsophie

53c763e9f0af9977c05f55dc0109d0724b385b7f

[ "MIT" ]

null

calculate.py

cu-swe4s-fall-2020/version-control-nabbsophie

53c763e9f0af9977c05f55dc0109d0724b385b7f

[ "MIT" ]

null

calculate.py

cu-swe4s-fall-2020/version-control-nabbsophie

53c763e9f0af9977c05f55dc0109d0724b385b7f

[ "MIT" ]

1

2020-09-09T03:10:15.000Z

import math_lib as ml x3 = print(ml.add(3,2)) x4 = print(ml.div(34,2))

17.75

24

0.661972

17

71

2.705882

0.764706

0.304348

0

0.114754

0.140845

71

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1

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null

0

1

0

1

0

5

4b18d0d75b3cce3a79458d0da29830294a547840

26,912

py

Python

muse_for_anything/api/v1_api/taxonomy_helpers.py

baireutherjonas/muse-for-anything

a625b4fc6468d74fa12886dc465d5694eed86e04

[ "MIT" ]

null

muse_for_anything/api/v1_api/taxonomy_helpers.py

baireutherjonas/muse-for-anything

a625b4fc6468d74fa12886dc465d5694eed86e04

[ "MIT" ]

1

2021-11-14T18:55:44.000Z

muse_for_anything/api/v1_api/taxonomy_helpers.py

baireutherjonas/muse-for-anything

a625b4fc6468d74fa12886dc465d5694eed86e04

[ "MIT" ]

1

2021-09-08T13:49:52.000Z

from typing import Any, Dict, List, Optional, Union from flask import url_for from muse_for_anything.db.models.namespace import Namespace from muse_for_anything.api.v1_api.namespace_helpers import query_params_to_api_key from muse_for_anything.api.base_models import ( ApiLink, ApiResponse, ) from muse_for_anything.api.v1_api.models.ontology import ( TaxonomyData, TaxonomyItemData, TaxonomyItemRelationData, TaxonomyItemRelationSchema, TaxonomyItemSchema, TaxonomySchema, ) from muse_for_anything.db.models.taxonomies import ( Taxonomy, TaxonomyItem, TaxonomyItemRelation, TaxonomyItemVersion, ) def taxonomy_page_params_to_key( namespace: str, query_params: Optional[Dict[str, Union[str, int]]] = None ) -> Dict[str, str]: if query_params is None: query_params = {} start_key = query_params_to_api_key(query_params) start_key["namespaceId"] = namespace return start_key def nav_links_for_taxonomy_page(namespace: Namespace) -> List[ApiLink]: nav_links: List[ApiLink] = [ ApiLink( href=url_for( "api-v1.NamespaceView", namespace=str(namespace.id), _external=True, ), rel=("up",), resource_type="ont-namespace", resource_key={"namespaceId": str(namespace.id)}, schema=url_for("api-v1.ApiSchemaView", schema_id="Namespace", _external=True), name=namespace.name, ), ] return nav_links def create_action_link_for_taxonomy_page(namespace: Namespace) -> ApiLink: return ApiLink( href=url_for( "api-v1.TaxonomiesView", namespace=str(namespace.id), _external=True, ), rel=("create", "post"), resource_type="ont-taxonomy", resource_key={"namespaceId": str(namespace.id)}, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), ) def action_links_for_taxonomy_page(namespace: Namespace) -> List[ApiLink]: actions: List[ApiLink] = [] if namespace.deleted_on is None: # namespace is not deleted actions.append(create_action_link_for_taxonomy_page(namespace=namespace)) return actions def taxonomy_to_key(taxonomy: Taxonomy) -> Dict[str, str]: return {"namespaceId": str(taxonomy.namespace_id), "taxonomyId": str(taxonomy.id)} def nav_links_for_taxonomy(taxonomy: Taxonomy) -> List[ApiLink]: nav_links: List[ApiLink] = [ ApiLink( href=url_for( "api-v1.TaxonomiesView", namespace=str(taxonomy.namespace_id), _external=True, ), rel=("up", "page", "first", "collection"), resource_type="ont-taxonomy", resource_key={"namespaceId": str(taxonomy.namespace_id)}, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), ), ApiLink( href=url_for( "api-v1.TaxonomyItemsView", namespace=str(taxonomy.namespace_id), taxonomy=str(taxonomy.id), _external=True, ), rel=("nav", "page", "first", "collection"), resource_type="ont-taxonomy-item", resource_key={ "namespaceId": str(taxonomy.namespace_id), "taxonomyId": str(taxonomy.id), }, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemSchema", _external=True ), ), ApiLink( href=url_for( "api-v1.NamespaceView", namespace=str(taxonomy.namespace_id), _external=True, ), rel=("nav",), resource_type="ont-namespace", resource_key={"namespaceId": str(taxonomy.namespace_id)}, schema=url_for("api-v1.ApiSchemaView", schema_id="Namespace", _external=True), name=taxonomy.namespace.name, ), ] return nav_links def taxonomy_item_to_key(item: TaxonomyItem) -> Dict[str, str]: return { "namespaceId": str(item.taxonomy.namespace_id), "taxonomyId": str(item.taxonomy_id), "taxonomyItemId": str(item.id), } def taxonomy_item_to_api_link(item: TaxonomyItem) -> ApiLink: return ApiLink( href=url_for( "api-v1.TaxonomyItemView", namespace=str(item.taxonomy.namespace_id), taxonomy=str(item.taxonomy_id), taxonomy_item=str(item.id), _external=True, ), rel=tuple(), resource_type="ont-taxonomy-item", resource_key=taxonomy_item_to_key(item), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemSchema", _external=True ), name=item.name, ) def taxonomy_to_items_links(taxonomy: Taxonomy) -> List[ApiLink]: return [taxonomy_item_to_api_link(item) for item in taxonomy.current_items] def taxonomy_to_taxonomy_data(taxonomy: Taxonomy) -> TaxonomyData: return TaxonomyData( self=ApiLink( href=url_for( "api-v1.TaxonomyView", namespace=str(taxonomy.namespace_id), taxonomy=str(taxonomy.id), _external=True, ), rel=tuple(), resource_type="ont-taxonomy", resource_key=taxonomy_to_key(taxonomy), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), name=taxonomy.name, ), name=taxonomy.name, description=taxonomy.description, created_on=taxonomy.created_on, updated_on=taxonomy.updated_on, deleted_on=taxonomy.deleted_on, items=taxonomy_to_items_links(taxonomy), ) def action_links_for_taxonomy(taxonomy: Taxonomy) -> List[ApiLink]: actions: List[ApiLink] = [] if taxonomy.namespace.deleted_on is None: # namespace is modifyable actions.append( ApiLink( href=url_for( "api-v1.TaxonomiesView", namespace=str(taxonomy.namespace_id), _external=True, ), rel=("create", "post"), resource_type="ont-taxonomy", resource_key={"namespaceId": str(taxonomy.namespace_id)}, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), ) ) resource_key = taxonomy_to_key(taxonomy) if taxonomy.deleted_on is None: actions.append( ApiLink( href=url_for( "api-v1.TaxonomyView", namespace=str(taxonomy.namespace_id), taxonomy=str(taxonomy.id), _external=True, ), rel=("update", "put"), resource_type="ont-taxonomy", resource_key=resource_key, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), name=taxonomy.name, ) ) actions.append( ApiLink( href=url_for( "api-v1.TaxonomyView", namespace=str(taxonomy.namespace_id), taxonomy=str(taxonomy.id), _external=True, ), rel=("delete",), resource_type="ont-taxonomy", resource_key=resource_key, name=taxonomy.name, ) ) actions.append(create_action_link_for_taxonomy_item_page(taxonomy)) else: actions.append( ApiLink( href=url_for( "api-v1.TaxonomyView", namespace=str(taxonomy.namespace_id), taxonomy=str(taxonomy.id), _external=True, ), rel=("restore", "post"), resource_type="ont-taxonomy", resource_key=resource_key, name=taxonomy.name, ) ) return actions def taxonomy_to_api_response(taxonomy: Taxonomy) -> ApiResponse: taxonomy_data = taxonomy_to_taxonomy_data(taxonomy) raw_taxonomy: Dict[str, Any] = TaxonomySchema().dump(taxonomy_data) return ApiResponse( links=( *nav_links_for_taxonomy(taxonomy), *action_links_for_taxonomy(taxonomy), ), data=raw_taxonomy, ) def taxonomy_item_page_params_to_key( namespace: str, taxonomy: str, query_params: Optional[Dict[str, Union[str, int]]] = None, ) -> Dict[str, str]: if query_params is None: query_params = {} start_key = query_params_to_api_key(query_params) start_key["namespaceId"] = namespace start_key["taxonomyId"] = taxonomy return start_key def nav_links_for_taxonomy_item_page(taxonomy: Taxonomy) -> List[ApiLink]: nav_links: List[ApiLink] = [ ApiLink( href=url_for( "api-v1.TaxonomyView", namespace=str(taxonomy.namespace_id), taxonomy=str(taxonomy.id), _external=True, ), rel=("up",), resource_type="ont-taxonomy", resource_key=taxonomy_to_key(taxonomy), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), name=taxonomy.name, ), ApiLink( href=url_for( "api-v1.NamespaceView", namespace=str(taxonomy.namespace_id), _external=True, ), rel=("nav",), resource_type="ont-namespace", resource_key={"namespaceId": str(taxonomy.namespace_id)}, schema=url_for("api-v1.ApiSchemaView", schema_id="Namespace", _external=True), name=taxonomy.namespace.name, ), ] return nav_links def create_action_link_for_taxonomy_item_page(taxonomy: Taxonomy) -> ApiLink: return ApiLink( href=url_for( "api-v1.TaxonomyItemsView", namespace=str(taxonomy.namespace_id), taxonomy=str(taxonomy.id), _external=True, ), rel=("create", "post"), resource_type="ont-taxonomy-item", resource_key=taxonomy_to_key(taxonomy), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemSchema", _external=True ), ) def action_links_for_taxonomy_item_page(taxonomy: Taxonomy) -> List[ApiLink]: actions: List[ApiLink] = [] if taxonomy.deleted_on is None and taxonomy.namespace.deleted_on is None: # taxonomy and namespace are not deleted actions.append(create_action_link_for_taxonomy_item_page(taxonomy=taxonomy)) return actions def taxonomy_item_version_to_key(item: TaxonomyItemVersion) -> Dict[str, str]: return { "namespaceId": str(item.taxonomy_item.taxonomy.namespace_id), "taxonomyId": str(item.taxonomy_item.taxonomy_id), "taxonomyItemId": str(item.taxonomy_item.id), "version": str(item.version), } def taxonomy_item_version_to_api_link(item: TaxonomyItemVersion) -> ApiLink: return ApiLink( href=url_for( "api-v1.TaxonomyItemVersionView", namespace=str(item.taxonomy_item.taxonomy.namespace_id), taxonomy=str(item.taxonomy_item.taxonomy_id), taxonomy_item=str(item.taxonomy_item_id), version=str(item.version), _external=True, ), rel=tuple(), resource_type="ont-taxonomy-item-version", resource_key=taxonomy_item_version_to_key(item), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemSchema", _external=True ), name=item.name, ) def taxonomy_item_relation_to_api_link(relation: TaxonomyItemRelation) -> ApiLink: resource_key = taxonomy_item_to_key(relation.taxonomy_item_source) resource_key["relationId"] = str(relation.id) return ApiLink( href=url_for( "api-v1.TaxonomyItemRelationView", namespace=str(relation.taxonomy_item_source.taxonomy.namespace_id), taxonomy=str(relation.taxonomy_item_source.taxonomy_id), taxonomy_item=str(relation.taxonomy_item_source_id), relation=str(relation.id), _external=True, ), rel=tuple(), resource_type="ont-taxonomy-item-relation", resource_key=resource_key, ) def taxonomy_item_to_taxonomy_item_data( item: Union[TaxonomyItem, TaxonomyItemVersion] ) -> TaxonomyItemData: is_taxonomy_item = isinstance(item, TaxonomyItem) self_link: ApiLink if is_taxonomy_item: self_link = taxonomy_item_to_api_link(item) else: self_link = taxonomy_item_version_to_api_link(item) updated_on = item.updated_on if is_taxonomy_item else item.created_on tax_item: TaxonomyItem = item if is_taxonomy_item else item.taxonomy_item parents = [ taxonomy_item_to_api_link(parent.taxonomy_item_source) for parent in tax_item.current_ancestors ] children = [ taxonomy_item_relation_to_api_link(child) for child in tax_item.current_related ] return TaxonomyItemData( self=self_link, name=item.name, description=item.description, sort_key=item.sort_key, version=item.version, parents=parents, children=children, created_on=item.created_on, updated_on=updated_on, deleted_on=item.deleted_on, ) def nav_links_for_taxonomy_item(item: TaxonomyItem) -> List[ApiLink]: namespace_id = str(item.taxonomy.namespace_id) nav_links: List[ApiLink] = [ ApiLink( href=url_for( "api-v1.TaxonomyView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), _external=True, ), rel=("up",), resource_type="ont-taxonomy", resource_key=taxonomy_to_key(item.taxonomy), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), name=item.taxonomy.name, ), ApiLink( href=url_for( "api-v1.TaxonomiesView", namespace=namespace_id, _external=True, ), rel=("nav", "page", "first", "collection"), resource_type="ont-taxonomy", resource_key={"namespaceId": namespace_id}, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), ), ApiLink( href=url_for( "api-v1.NamespaceView", namespace=namespace_id, _external=True, ), rel=("nav",), resource_type="ont-namespace", resource_key={"namespaceId": namespace_id}, schema=url_for("api-v1.ApiSchemaView", schema_id="Namespace", _external=True), name=item.taxonomy.namespace.name, ), ] return nav_links def action_links_for_taxonomy_item(item: TaxonomyItem) -> List[ApiLink]: actions: List[ApiLink] = [] if item.taxonomy.namespace.deleted_on is None and item.taxonomy.deleted_on is None: # namespace and taxonomy are modifyable namespace_id = str(item.taxonomy.namespace_id) actions.append( ApiLink( href=url_for( "api-v1.TaxonomyItemsView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), _external=True, ), rel=("create", "post"), resource_type="ont-taxonomy-item", resource_key=taxonomy_to_key(item.taxonomy), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemSchema", _external=True ), ) ) resource_key = taxonomy_item_to_key(item) if item.deleted_on is None: actions.append( ApiLink( href=url_for( "api-v1.TaxonomyItemView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), taxonomy_item=str(item.id), _external=True, ), rel=("update", "put"), resource_type="ont-taxonomy-item", resource_key=resource_key, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemSchema", _external=True, ), name=item.name, ) ) actions.append( ApiLink( href=url_for( "api-v1.TaxonomyItemView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), taxonomy_item=str(item.id), _external=True, ), rel=("delete",), resource_type="ont-taxonomy-item", resource_key=resource_key, name=item.name, ) ) actions.append( ApiLink( href=url_for( "api-v1.TaxonomyItemRelationsView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), taxonomy_item=str(item.id), _external=True, ), rel=("create", "post"), resource_type="ont-taxonomy-item-relation", resource_key=taxonomy_item_to_key(item), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemRelationPostSchema", _external=True, ), ) ) else: actions.append( ApiLink( href=url_for( "api-v1.TaxonomyItemView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), taxonomy_item=str(item.id), _external=True, ), rel=("restore", "post"), resource_type="ont-taxonomy-item", resource_key=resource_key, name=item.name, ) ) return actions def nav_links_for_taxonomy_item_version( item_version: TaxonomyItemVersion, ) -> List[ApiLink]: item = item_version.taxonomy_item namespace_id = str(item.taxonomy.namespace_id) nav_links: List[ApiLink] = [ # TODO up navigation link to versions page ApiLink( href=url_for( "api-v1.TaxonomyItemView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), taxonomy_item=str(item.id), _external=True, ), rel=("nav",), resource_type="ont-taxonomy-item", resource_key=taxonomy_to_key(item.taxonomy), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemSchema", _external=True ), name=item.name, ), ApiLink( href=url_for( "api-v1.TaxonomyView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), _external=True, ), rel=("up",), resource_type="ont-taxonomy", resource_key=taxonomy_to_key(item.taxonomy), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), name=item.taxonomy.name, ), ApiLink( href=url_for( "api-v1.TaxonomiesView", namespace=namespace_id, _external=True, ), rel=("nav", "page", "first", "collection"), resource_type="ont-taxonomy", resource_key={"namespaceId": namespace_id}, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), ), ApiLink( href=url_for( "api-v1.NamespaceView", namespace=namespace_id, _external=True, ), rel=("nav",), resource_type="ont-namespace", resource_key={"namespaceId": namespace_id}, schema=url_for("api-v1.ApiSchemaView", schema_id="Namespace", _external=True), name=item.taxonomy.namespace.name, ), ] return nav_links def action_links_for_taxonomy_item_version( item_version: TaxonomyItemVersion, ) -> List[ApiLink]: actions: List[ApiLink] = [] # TODO return actions def taxonomy_item_to_api_response(item: TaxonomyItem) -> ApiResponse: taxonomy_item_data = taxonomy_item_to_taxonomy_item_data(item) raw_taxonomy_item: Dict[str, Any] = TaxonomyItemSchema().dump(taxonomy_item_data) return ApiResponse( links=( *nav_links_for_taxonomy_item(item), *action_links_for_taxonomy_item(item), ), data=raw_taxonomy_item, ) def create_action_link_for_taxonomy_item_relation_page( namespace: str, taxonomy: str, taxonomy_item: str ) -> ApiLink: return ApiLink( href=url_for( "api-v1.TaxonomyItemRelationsView", namespace=namespace, taxonomy=taxonomy, taxonomy_item=taxonomy_item, _external=True, ), rel=("create", "post"), resource_type="ont-taxonomy-item-relation", resource_key={ "namespaceId": namespace, "taxonomyId": taxonomy, "taxonomyItemId": taxonomy_item, }, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomyItemRelationPostSchema", _external=True, ), ) def nav_links_for_taxonomy_item_relation( relation: TaxonomyItemRelation, ) -> List[ApiLink]: taxonomy = relation.taxonomy_item_source.taxonomy namespace_id = str(taxonomy.namespace_id) nav_links: List[ApiLink] = [ ApiLink( href=url_for( "api-v1.TaxonomyView", namespace=namespace_id, taxonomy=str(taxonomy.id), _external=True, ), rel=("up",), resource_type="ont-taxonomy", resource_key=taxonomy_to_key(taxonomy), schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), name=taxonomy.name, ), ApiLink( href=url_for( "api-v1.TaxonomiesView", namespace=namespace_id, _external=True, ), rel=("nav", "page", "first", "collection"), resource_type="ont-taxonomy", resource_key={"namespaceId": namespace_id}, schema=url_for( "api-v1.ApiSchemaView", schema_id="TaxonomySchema", _external=True ), ), ApiLink( href=url_for( "api-v1.NamespaceView", namespace=namespace_id, _external=True, ), rel=("nav",), resource_type="ont-namespace", resource_key={"namespaceId": namespace_id}, schema=url_for("api-v1.ApiSchemaView", schema_id="Namespace", _external=True), name=taxonomy.namespace.name, ), ] return nav_links def action_links_for_taxonomy_item_relation( relation: TaxonomyItemRelation, ) -> List[ApiLink]: actions: List[ApiLink] = [] item: TaxonomyItem = relation.taxonomy_item_source if ( item.taxonomy.namespace.deleted_on is None and item.taxonomy.deleted_on is None and item.deleted_on is None ): # namespace and taxonomy and item are modifyable namespace_id = str(item.taxonomy.namespace_id) resource_key = taxonomy_item_to_key(item) resource_key["relationId"] = str(relation.id) if item.deleted_on is None: actions.append( ApiLink( href=url_for( "api-v1.TaxonomyItemRelationView", namespace=namespace_id, taxonomy=str(item.taxonomy_id), taxonomy_item=str(item.id), relation=str(relation.id), _external=True, ), rel=("delete",), resource_type="ont-taxonomy-item-relation", resource_key=resource_key, ) ) return actions def taxonomy_item_relation_to_taxonomy_item_relation_data( relation: TaxonomyItemRelation, ) -> TaxonomyItemRelationData: return TaxonomyItemRelationData( self=taxonomy_item_relation_to_api_link(relation), source_item=taxonomy_item_to_api_link(relation.taxonomy_item_source), target_item=taxonomy_item_to_api_link(relation.taxonomy_item_target), created_on=relation.created_on, deleted_on=relation.deleted_on, ) def taxonomy_item_relation_to_api_response(relation: TaxonomyItemRelation) -> ApiResponse: relation_data = taxonomy_item_relation_to_taxonomy_item_relation_data(relation) raw_relation: Dict[str, Any] = TaxonomyItemRelationSchema().dump(relation_data) return ApiResponse( links=( *nav_links_for_taxonomy_item_relation(relation), *action_links_for_taxonomy_item_relation(relation), ), data=raw_relation, )

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d9b3c5fccb880173138cdaa412c4f85fd453cff0

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Python

telestream_cloud_flip_sdk/telestream_cloud_flip/__init__.py

pandastream/telestream-cloud-python-sdk

ce0ad503299661a0f622661359367173c06889fc

[ "MIT" ]

null

telestream_cloud_flip_sdk/telestream_cloud_flip/__init__.py

pandastream/telestream-cloud-python-sdk

ce0ad503299661a0f622661359367173c06889fc

[ "MIT" ]

2

2016-07-06T14:13:31.000Z

2018-03-07T12:54:58.000Z

telestream_cloud_flip_sdk/telestream_cloud_flip/__init__.py

Telestream/telestream-cloud-python-sdk

ce0ad503299661a0f622661359367173c06889fc

[ "MIT" ]

null

# coding: utf-8 # flake8: noqa """ Flip API Flip # noqa: E501 The version of the OpenAPI document: 3.1 Contact: cloudsupport@telestream.net Generated by: https://openapi-generator.tech """ from __future__ import absolute_import __version__ = "2.1.0" # import apis into sdk package from telestream_cloud_flip.api.flip_api import FlipApi # import ApiClient from telestream_cloud_flip.api_client import ApiClient from telestream_cloud_flip.configuration import Configuration from telestream_cloud_flip.exceptions import OpenApiException from telestream_cloud_flip.exceptions import ApiTypeError from telestream_cloud_flip.exceptions import ApiValueError from telestream_cloud_flip.exceptions import ApiKeyError from telestream_cloud_flip.exceptions import ApiException # import models into sdk package from telestream_cloud_flip.models.canceled_response import CanceledResponse from telestream_cloud_flip.models.copy_profile_body import CopyProfileBody from telestream_cloud_flip.models.count_response import CountResponse from telestream_cloud_flip.models.create_encoding_body import CreateEncodingBody from telestream_cloud_flip.models.create_video_body import CreateVideoBody from telestream_cloud_flip.models.deleted_response import DeletedResponse from telestream_cloud_flip.models.encoding import Encoding from telestream_cloud_flip.models.encoding_signed_url import EncodingSignedUrl from telestream_cloud_flip.models.encoding_signed_urls import EncodingSignedUrls from telestream_cloud_flip.models.error import Error from telestream_cloud_flip.models.extra_file import ExtraFile from telestream_cloud_flip.models.factory import Factory from telestream_cloud_flip.models.paginated_encodings_collection import PaginatedEncodingsCollection from telestream_cloud_flip.models.paginated_factory_collection import PaginatedFactoryCollection from telestream_cloud_flip.models.paginated_profiles_collection import PaginatedProfilesCollection from telestream_cloud_flip.models.paginated_video_collection import PaginatedVideoCollection from telestream_cloud_flip.models.paginated_workflows_collection import PaginatedWorkflowsCollection from telestream_cloud_flip.models.profile import Profile from telestream_cloud_flip.models.resubmit_video_body import ResubmitVideoBody from telestream_cloud_flip.models.retried_response import RetriedResponse from telestream_cloud_flip.models.signed_video_url import SignedVideoUrl from telestream_cloud_flip.models.update_encoding_body import UpdateEncodingBody from telestream_cloud_flip.models.video import Video

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d9c0fcf1d9424596691d685b5e2bbc5da2e8f1c2

158

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Python

src/third_party/ConvONets/utils/libmesh/__init__.py

UT-Austin-RPL/Ditto

c9bd94ede2aa4343f59f52bc1e3b1e3eccd96484

[ "MIT" ]

42

2022-02-17T01:42:39.000Z

2022-03-29T00:35:33.000Z

src/third_party/ConvONets/utils/libmesh/__init__.py

UT-Austin-RPL/Ditto

c9bd94ede2aa4343f59f52bc1e3b1e3eccd96484

[ "MIT" ]

5

2022-03-07T10:18:01.000Z

2022-03-28T23:24:25.000Z

src/third_party/ConvONets/utils/libmesh/__init__.py

UT-Austin-RPL/Ditto

c9bd94ede2aa4343f59f52bc1e3b1e3eccd96484

[ "MIT" ]

7

2022-02-18T09:30:22.000Z

2022-03-25T21:22:14.000Z

from .inside_mesh import MeshIntersector, TriangleIntersector2d, check_mesh_contains __all__ = [check_mesh_contains, MeshIntersector, TriangleIntersector2d]

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d9cd83f520baca3cef365fa9020e4acadc7e3f92

265

py

Python

torchwi/io/__init__.py

pkgpl/TorchWI

772f2f26b2faf7487a1eec6b1c4821ebaf6dd44f

[ "MIT" ]

5

2020-11-04T07:24:01.000Z

2022-01-07T05:55:18.000Z

torchwi/io/__init__.py

pkgpl/TorchWI

772f2f26b2faf7487a1eec6b1c4821ebaf6dd44f

[ "MIT" ]

5

2021-04-28T05:34:28.000Z

2022-03-10T04:47:24.000Z

torchwi/io/__init__.py

pkgpl/TorchWI

772f2f26b2faf7487a1eec6b1c4821ebaf6dd44f

[ "MIT" ]

null

from .logger import MainLogger, JobLogger from .parser import CFGParser from .FreqDataloader import FreqDataset from .TimeDataloader import TimeDataset, TimeForwardDataset from .TimeDataloader import time_forward_distributed_dataloader, time_distributed_dataloader

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0.883019

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8.178571

0.571429

0.157205

0.209607

0

0.086792

265

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0.946281

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null

0

1

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1

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5

d9fe6e91e0f788e83725aabef56cbf48c9a110aa

238

py

Python

dydx3/eth_signing/__init__.py

formula-tech/dydx-v3-python

95800e3620c2b1f53053b78f35de6e4c43dfdc1a

[ "Apache-2.0" ]

1

2022-01-04T10:35:36.000Z

dydx3/eth_signing/__init__.py

formula-tech/dydx-v3-python

95800e3620c2b1f53053b78f35de6e4c43dfdc1a

[ "Apache-2.0" ]

null

dydx3/eth_signing/__init__.py

formula-tech/dydx-v3-python

95800e3620c2b1f53053b78f35de6e4c43dfdc1a

[ "Apache-2.0" ]

1

2022-01-21T10:49:48.000Z

from dydx3.eth_signing.eth_prive_action import SignEthPrivateAction from dydx3.eth_signing.onboarding_action import SignOnboardingAction from dydx3.eth_signing.signers import SignWithKey from dydx3.eth_signing.signers import SignWithWeb3

47.6

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238

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0.419355

0.173913

0.231884

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0.309179

0

0.022523

0.067227

238

4

69

59.5

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0

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0

1

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1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

8a145f66ade4f0d8f96e37f83263ead0f490fb8f

181

py

Python

term_app/kivy_soil/app_recycleview/__init__.py

Bakterija/term_app

9044ffdfaad750a1c47211aa56eab6c132ec8cec

[ "MIT" ]

1

2017-06-23T15:16:13.000Z

app_recycleview/__init__.py

Bakterija/kivy_soil

75b9376290fc720010525e1e96fec482f6304ffd

[ "Unlicense" ]

null

app_recycleview/__init__.py

Bakterija/kivy_soil

75b9376290fc720010525e1e96fec482f6304ffd

[ "Unlicense" ]

null

from .recycleview import AppRecycleView from .recyclebox import AppRecycleBoxLayout from .viewclass import AppRecycleViewClass from .single_select_box import SingleSelectRecycleBox

36.2

53

0.889503

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181

8.833333

0.666667

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0.088398

181

4

54

45.25

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0

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true

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1

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null

0

1

0

1

0

1

0

5

8a1480fd76daa3a412d3daebeb25dcd5da58a915

28

py

Python

backend/server/apps/ml/income_classifier/__init__.py

IndraP24/Adult-Income-Prediction-Web-App

1636f6f0fde814bfdd8dacd0d4bb68b288f6c4fe

[ "MIT" ]

null

backend/server/apps/ml/income_classifier/__init__.py

IndraP24/Adult-Income-Prediction-Web-App

1636f6f0fde814bfdd8dacd0d4bb68b288f6c4fe

[ "MIT" ]

null

backend/server/apps/ml/income_classifier/__init__.py

IndraP24/Adult-Income-Prediction-Web-App

1636f6f0fde814bfdd8dacd0d4bb68b288f6c4fe

[ "MIT" ]

null

from .random_forest import *

28

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5.5

1

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1

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true

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