xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

e1963a4d3380bd9b67d22fd94ac0497fcbea8e10

93

py

Python

funcsfa/__init__.py

NKI-CCB/funcsfa

336655531f08aeec0077a443eeb76b92d6677b3a

[ "Apache-2.0" ]

1

2019-01-28T11:47:21.000Z

funcsfa/__init__.py

NKI-CCB/funcsfa

336655531f08aeec0077a443eeb76b92d6677b3a

[ "Apache-2.0" ]

1

2018-11-21T09:37:45.000Z

2018-11-21T15:39:27.000Z

funcsfa/__init__.py

NKI-CCB/funcsfa

336655531f08aeec0077a443eeb76b92d6677b3a

[ "Apache-2.0" ]

null

from funcsfa._data_matrix import DataMatrix, StackedDataMatrix from funcsfa._core import SFA

31

62

0.870968

12

93

6.5

0.75

0.282051

0

0.096774

93

2

63

46.5

0.928571

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

e1abf4ee5d17a29a78ea68b79627d91130ada804

111

py

Python

dislash/application_commands/_modifications/__init__.py

Bakersbakebread/dislash.py

afe19c3ebf0b95a3abdec08f3fde8b455024aabd

[ "MIT" ]

371

2021-02-07T07:47:38.000Z

2022-02-17T13:06:51.000Z

dislash/application_commands/_modifications/__init__.py

Bakersbakebread/dislash.py

afe19c3ebf0b95a3abdec08f3fde8b455024aabd

[ "MIT" ]

39

2021-03-22T06:06:05.000Z

2021-12-20T05:46:36.000Z

dislash/application_commands/_modifications/__init__.py

Bakersbakebread/dislash.py

afe19c3ebf0b95a3abdec08f3fde8b455024aabd

[ "MIT" ]

51

2021-02-08T18:12:40.000Z

2022-01-17T14:14:50.000Z

# This is an internal subpackage created for # careful modifications of discord.py and discord.py 2.0 methods.

37

65

0.792793

18

111

4.888889

0.888889

0.204545

0

0.021277

0.153153

111

2

66

55.5

0.914894

0.954955

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

e1cc1a2046abad870a1d388526b4e833a9c43064

71

py

Python

app/infrastructure/database/repositories/__init__.py

AnViSe/cost_confirmation_bot

f8eaa39c3df742bef0fc79b8b7ce0231f1b18749

[ "MIT" ]

13

2021-12-27T19:46:19.000Z

2022-03-19T07:55:25.000Z

app/infrastructure/database/repositories/__init__.py

AnViSe/cost_confirmation_bot

f8eaa39c3df742bef0fc79b8b7ce0231f1b18749

[ "MIT" ]

null

app/infrastructure/database/repositories/__init__.py

AnViSe/cost_confirmation_bot

f8eaa39c3df742bef0fc79b8b7ce0231f1b18749

[ "MIT" ]

1

2022-02-07T10:48:18.000Z

from .access_level import AccessLevelReader from .user import UserRepo

23.666667

43

0.859155

9

71

6.666667

0.777778

0

0.112676

71

2

44

35.5

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

83479dc4c76920e80ea3ecbd1812e99c34ea47a4

392

py

Python

octicons16px/markdown.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

1

2021-01-28T06:47:39.000Z

octicons16px/markdown.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

null

octicons16px/markdown.py

andrewp-as-is/octicons16px.py

1272dc9f290619d83bd881e87dbd723b0c48844c

[ "Unlicense" ]

null

OCTICON_MARKDOWN = """ <svg class="octicon octicon-markdown" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M14.85 3H1.15C.52 3 0 3.52 0 4.15v7.69C0 12.48.52 13 1.15 13h13.69c.64 0 1.15-.52 1.15-1.15v-7.7C16 3.52 15.48 3 14.85 3zM9 11H7V8L5.5 9.92 4 8v3H2V5h2l1.5 2L7 5h2v6zm2.99.5L9.5 8H11V5h2v3h1.5l-2.51 3.5z"></path></svg> """

78.4

363

0.688776

88

392

3.056818

0.636364

0.033457

0

0.366762

0.109694

392

4

364

98

0.404011

0

0.333333

0.933504

0

1

0

false

0

null

0

1

0

1

0

1

0

1

0

null

0

5

55cec2a1d89830a1f480d6393829e7375c2ebfe7

165

py

Python

tm1doc/__init__.py

kaylon/tm1doc

b4d50b5367603ad24de6213b227ad347ffc6aa1e

[ "MIT" ]

6

2016-11-10T10:43:08.000Z

2020-07-29T17:52:12.000Z

tm1doc/__init__.py

kaylon/tm1doc

b4d50b5367603ad24de6213b227ad347ffc6aa1e

[ "MIT" ]

2

2016-11-10T10:53:18.000Z

2019-02-21T15:52:57.000Z

tm1doc/__init__.py

kaylon/tm1doc

b4d50b5367603ad24de6213b227ad347ffc6aa1e

[ "MIT" ]

2

2017-07-10T16:05:11.000Z

2021-03-07T22:34:46.000Z

from config import Config from flask import Flask tm1doc = Flask(__name__,static_url_path='/static') tm1doc.config.from_object(Config) from tm1doc import routes

16.5

50

0.806061

24

165

5.25

0.458333

0.238095

0

0.02069

0.121212

165

9

51

18.333333

0.848276

0

0.042945

0

1

0

false

0

0.6

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

55dbb7214ef4e04e6e0d2210be8d04ca66a3d0e5

70

py

Python

tasks/youtube-subtitles/youtube_subtitles/voice/__init__.py

HackerDom/qctf-starter-2018

f4eef0fd41d777661b9fbcc61dcee9709d9f6268

[ "MIT" ]

8

2018-03-15T12:07:11.000Z

2020-12-01T15:02:46.000Z

tasks/youtube-subtitles/youtube_subtitles/voice/__init__.py

irdkwmnsb/lkshl-ctf

e5c0200ddc8ba73df5f321b87b9763fb1bbaba57

[ "MIT" ]

17

2020-01-28T22:17:42.000Z

2022-03-11T23:18:09.000Z

tasks/youtube-subtitles/youtube_subtitles/voice/__init__.py

irdkwmnsb/lkshl-ctf

e5c0200ddc8ba73df5f321b87b9763fb1bbaba57

[ "MIT" ]

2

2018-11-26T18:54:27.000Z

2018-12-05T17:37:32.000Z

from youtube_subtitles.voice.sapi_synthesizer import create_recording

35

69

0.914286

9

70

6.777778

1

0

0.057143

70

1

70

0.924242

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

55f642b2170987a2861d18a75c461d50a85fddcf

22,949

py

Python

Gaia (UV filter checking tool)/fast_mcat_uvcheck_V.1.1.py

prajwel/UVIT-POC

eaaeb26f11b2c6e19cd96d3a99017b7bb39ee7aa

[ "Apache-2.0" ]

null

Gaia (UV filter checking tool)/fast_mcat_uvcheck_V.1.1.py

prajwel/UVIT-POC

eaaeb26f11b2c6e19cd96d3a99017b7bb39ee7aa

[ "Apache-2.0" ]

null

Gaia (UV filter checking tool)/fast_mcat_uvcheck_V.1.1.py

prajwel/UVIT-POC

eaaeb26f11b2c6e19cd96d3a99017b7bb39ee7aa

[ "Apache-2.0" ]

null

#!/usr/bin/env python2.7 '''A tool for determining the UVIT FUV and NUV filters. Copyright 2017 Prajwel Joseph Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. Changes; when, what ------------------- Dec 22, 2017: bug fixes. Dec 23, 2017: deals with cases where FUV is not present. The author would like to acknowledge inputs from Dr. Koshy George which greatly helped the developement of this script. ''' import os import sys import string import urllib import numpy as np from astropy.io import fits from requests import Session from bs4 import BeautifulSoup from astropy import units as u from astropy.table import Table, hstack from astropy.coordinates import SkyCoord # To get the user input. instrument = str(sys.argv[1]) RA = str(sys.argv[2]) DEC = str(sys.argv[3]) #instrument = 'uvit' #RA = "7:36:51.396" #DEC = "65:36:9.170" # To check the RA, DEC user input. if (DEC.count(':') == RA.count(':') == 2): pass else: sys.exit(1) # To do all the stuff in a specific directory. working_arena = '.' os.chdir(working_arena) # instrument and radius of search in arsec. field_radius = {'uvit' : 1200, 'sxt' : 1500, 'czti' : 1680, 'laxpc' : 1680} # Functions to convert magnitude to UVIT count rates. def countfuv(mg): caf2 = 1.0 baf2 = 0.85 sapphire = 0.63 silica = 0.22 mg1 = 18.22 if mg <= 15.0: mg_c = 5.371 + (20.0 * mg - 210.2) ** 0.5 else: mg_c = mg cr1 = caf2 * 10.0 ** ((mg1 - mg_c) * 0.4) cr2 = baf2 * 10.0 ** ((mg1 - mg_c) * 0.4) cr3 = sapphire *10.0 ** ((mg1 - mg_c) * 0.4) cr4 = silica * 10.0 ** ((mg1 - mg_c) * 0.4) return mg, mg_c, cr1, cr2, cr3, cr4 countfuv = np.vectorize(countfuv) def countfuv_abs(mg): # for cases where FUV is absent. caf2 = 1.0 baf2 = 0.85 sapphire = 0.63 silica = 0.22 mg1 = 18.22 if mg <= 15.0: mg_c = 2.634 + (26.316 * mg - 245.329) ** 0.5 else: mg_c = mg mg_c = mg_c - 1.65 cr1 = caf2 * 10.0 ** ((mg1 - mg_c) * 0.4) cr2 = baf2 * 10.0 ** ((mg1 - mg_c) * 0.4) cr3 = sapphire *10.0 ** ((mg1 - mg_c) * 0.4) cr4 = silica * 10.0 ** ((mg1 - mg_c) * 0.4) return mg, mg_c, cr1, cr2, cr3, cr4 countfuv_abs = np.vectorize(countfuv_abs) def countnuv(mg): silica = 1.0 b4 = 0.22 b13 = 0.27 b15 = 0.074 n2 = 0.055 mg1 = 20.0 if mg <= 15.0: mg_c = 2.634 + (26.316 * mg - 245.329) ** 0.5 else: mg_c = mg cr1 = silica * 10.0 ** ((mg1 - mg_c) * 0.4) cr2 = b4 * 10 ** ((mg1-mg_c) * 0.4) cr3 = b13 * 10 ** ((mg1 - mg_c) * 0.4) cr4 = b15 * 10 ** ((mg1 - mg_c) * 0.4) cr5 = n2 * 10 ** ((mg1 - mg_c) * 0.4) return mg, mg_c, cr1, cr2, cr3, cr4, cr5 countnuv = np.vectorize(countnuv) # Function to find seperation in celestial coordinates. cc = SkyCoord(RA, DEC, unit = (u.hourangle, u.deg)) def cel_separation(a, b): coo = SkyCoord(a, b, frame = 'icrs', unit = 'deg') return coo.separation(cc) # To get on with MAST website queries. ra = string.replace(RA, ':', '+') dec = string.replace(DEC, ':', '+') # Mast website form data. mastdata = {'__EVENTTARGET': '""', '__EVENTARGUMENT' : '""', '__VIEWSTATE' : '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', '__VIEWSTATEGENERATOR': 'C84C2718', '__EVENTVALIDATION': '/wEdAAue+6xrb6xgp2ityzurA/pfWsTF2CBs9ziYHlDmus7EnHXVqisK/ch+FuYDN4RJj9bNygAwoalISibjyjYgoB7/Pb1PMsXU2LG7o+i6/zoft2ZmqVWZEJyWTGlJer/5/ymk9SeG9Y8RLbkbyiuf4BcRXP2SoyGCMZyu6LfyUjL5ZgAB13huDNxtBirRDFLR6zW3raPnQUy5sK21W/3eiEs/KUQOVtp9GallVy/IsFMIp4yMEruOYx0KrV7GUndYi0m5y40+', '_ctl10:txtTargetName': '', '_ctl10:resolverDropList': 'SIMBAD', '_ctl10:txtRadius': '0.4', '_ctl10:txtRA': ra, '_ctl10:txtDec': dec, '_ctl10:btnSearch': 'Search'} # Header for the site. header = {'Host': 'galex.stsci.edu', 'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101 Firefox/45.0', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Language': 'en-US,en;q=0.5', 'Accept-Encoding': 'gzip, deflate', 'Referer': 'http://galex.stsci.edu/GR6/?page=tilelist&survey=allsurveys', 'Connection': 'keep-alive'} # Post request. session = Session() response = session.post(url = 'http://galex.stsci.edu/GR6/?page=tilelist&survey=allsurveys', data = mastdata, headers = header) # To make sense of the mess that is MAST. soup = BeautifulSoup(response.text, 'html.parser') ss = soup.find(id = '_ctl10_TileGrid_imgLink_0').get('href') parent = 'http://galex.stsci.edu/GR6' son = parent + ss[1:] # To make sense of the download page. response2 = session.get(son) soup2 = BeautifulSoup(response2.text, 'html.parser') pp = soup2.find_all("a") # To download the mcat (galex catalogue). catalogue_link = [] for link in pp: somel = link.get('href') try: if somel[-12:] == 'mcat.fits.gz': catalogue_link.append(somel) except: pass if len(catalogue_link) != 0: catalogue = catalogue_link[0].split('/')[-1] urllib.urlretrieve(catalogue_link[0], catalogue) else: sys.exit(1) # Reading coordinates from catalogue. hdu = fits.open(catalogue) alpha = hdu[1].data['alpha_j2000_merged'] delta = hdu[1].data['delta_j2000_merged'] # NUV nuv_mag = hdu[1].data['nuv_mag'] refined_set = [(al, de, nm) for al, de, nm in zip(alpha, delta, nuv_mag) if int(nm) != -999 and nm <= 22.] nalpha, ndelta, nuv_mag = zip(*refined_set) confined_set = [(nm, al, de) for al, de, nm in zip(nalpha, ndelta, nuv_mag) if cel_separation(al, de) <= field_radius[instrument] * u.arcsec] nd = np.array(sorted(confined_set))[0:5] ma, ma_c, ta, tb, tc, td, te = countnuv(nd[:,0]) nuv_res = Table([ma, ma_c, ta, tb, tc, td, te], names = ('Mag', 'Mag_corrected', 'silica', 'b4', 'b13', 'b15', 'n2'), meta = {'name': 'NUV counts'}) nuv_res['Mag'].format = '4.2f' nuv_res['Mag_corrected'].format = '4.2f' nuv_res['silica'].format = '4.2f' nuv_res['b4'].format = '4.2f' nuv_res['b13'].format = '4.2f' nuv_res['b15'].format = '4.2f' nuv_res['n2'].format = '4.2f' # To convert ra_deg and dec_deg to ra_hms and dec_dms. coord = SkyCoord(zip(nd[:,1], nd[:,2]), frame = 'icrs', unit = 'deg') RAhms_DECdms = coord.to_string('hmsdms', sep = ':') ra_hms, dec_dms = zip(*[hmdm.split(' ') for hmdm in RAhms_DECdms]) xy_tab = Table([ra_hms, dec_dms], names = ('ra_hms', 'dec_dms')) nuv_res = hstack([xy_tab, nuv_res]) print('\n\n### NUV\n\n{}\n'.format(nuv_res)) # FUV fuv_mag = hdu[1].data['fuv_mag'] fuv_absent = 'no' if len(np.unique(fuv_mag)) == 1: # when FUV data is absent. fd = nd print('\nFUV observations seem to be absent! Using M_fuv = M_nuv - 1.65.') fuv_absent = 'yes' else: refined_set = [(al, de, fm) for al, de, fm in zip(alpha, delta, fuv_mag) if int(fm) != -999 and fm <= 22.] falpha, fdelta, fuv_mag = zip(*refined_set) confined_set = [(fm, al, de) for al, de, fm in zip(falpha, fdelta, fuv_mag) if cel_separation(al, de) <= field_radius[instrument] * u.arcsec] fd = np.array(sorted(confined_set))[0:5] if fuv_absent == 'no': ma, ma_c, ta, tb, tc, td = countfuv(fd[:,0]) else: ma, ma_c, ta, tb, tc, td = countfuv_abs(fd[:,0]) fuv_res = Table([ma, ma_c, ta, tb, tc, td], names = ('Mag', 'Mag_corrected', 'caf2', 'baf2', 'sapphire', 'silica'), meta = {'name': 'FUV counts'}) fuv_res['Mag'].format = '4.2f' fuv_res['Mag_corrected'].format = '4.2f' fuv_res['caf2'].format = '4.2f' fuv_res['baf2'].format = '4.2f' fuv_res['sapphire'].format = '4.2f' fuv_res['silica'].format = '4.2f' # To convert ra_deg and dec_deg to ra_hms and dec_dms. coord = SkyCoord(zip(fd[:,1], fd[:,2]), frame = 'icrs', unit = 'deg') RAhms_DECdms = coord.to_string('hmsdms', sep = ':') ra_hms, dec_dms = zip(*[hmdm.split(' ') for hmdm in RAhms_DECdms]) xy_tab = Table([ra_hms, dec_dms], names = ('ra_hms', 'dec_dms')) fuv_res = hstack([xy_tab, fuv_res]) print('\n### FUV \n\n{}\n\nDone!\n'.format(fuv_res))

74.752443

13,631

0.825047

1,361

22,949

13.800882

0.296841

0.003833

0.004153

0.004845

0.085556

0.073577

0.063142

0.059628

0.055422

0.048075

0

0.113968

0.111813

22,949

306

13,632

74.996732

0.807536

0.069938

0

0.273632

0

0.019901

0.706159

0.657742

0

1

0

1

0.019901

false

0.00995

0.054726

0

0.094527

0.014925

0

1

null

0

1

0

1

null

1

0

5

363978cb16bfce5c0adc2b8fb0765a2283b25b63

164

py

Python

exoatlas/whatsup/__init__.py

zkbt/exopop

5e8b9d391fe9e2d39c623d7ccd7eca8fd0f0f3f8

[ "MIT" ]

4

2020-06-24T16:38:27.000Z

2022-01-23T01:57:19.000Z

exoatlas/whatsup/__init__.py

zkbt/exopop

5e8b9d391fe9e2d39c623d7ccd7eca8fd0f0f3f8

[ "MIT" ]

4

2018-09-20T23:12:30.000Z

2019-05-15T15:31:58.000Z

exoatlas/whatsup/__init__.py

zkbt/exopop

5e8b9d391fe9e2d39c623d7ccd7eca8fd0f0f3f8

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .plan import Plan from .night import Night from .observatory import Observatory from .transit import Transit from .block import Block

20.5

36

0.756098

23

164

5.391304

0.434783

0

0.007246

0.158537

164

7

37

23.428571

0.891304

0.128049

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

36a846c2aaefab0706178c3cc264997412f74e7e

4,403

py

Python

vote/tests/util.py

jnegrete2005/JuradoFMS

25848037e51de1781c419155615d0fb41edc07ec

[ "MIT" ]

2

2021-02-24T21:57:50.000Z

2021-03-15T08:44:09.000Z

vote/tests/util.py

jnegrete2005/JuradoFMS

25848037e51de1781c419155615d0fb41edc07ec

[ "MIT" ]

null

vote/tests/util.py

jnegrete2005/JuradoFMS

25848037e51de1781c419155615d0fb41edc07ec

[ "MIT" ]

null

from json import loads from ..models import Competitor, VotingPoll from graphene_django.utils.testing import graphql_query def setUp(self): # Create Competitors c1_a = Competitor.objects.create( name='Si', easy=[1,1,1,1,1,1,1,1,1], hard=[1,1,1,1,1,1,1,1,1], tematicas_1=[1,1,1,1,1,1,1], tematicas_2=[1,1,1,1,1,1,1], random_score=[1,1,1,1,1,1,1,1,1,1,1], min1=[1,1,1,1,1,1,1,1,1], min2=[1,1,1,1,1,1,1,1,1], deluxe=[1,1,1,1,1,1,1,1,1,1,1,1,1,1] ) c1_b = Competitor.objects.create( name='No', easy=[2,2,9,2,2,2,2,2,9], hard=[2,2,2,2,2,2,2,2,2], tematicas_1=[2,2,2,2,2,2,2], tematicas_2=[2,2,2,2,2,2,2], random_score=[2,2,2,2,2,2,2,2,2,2,2], min1=[2,2,2,2,2,2,2,2,2], min2=[2,2,2,2,2,2,2,2,2], deluxe=[2,2,2,2,2,2,2,2,2,2,2,2,2,2] ) c2_a = Competitor.objects.create( name='Replica 1', easy=[3,3,3,3,3,3,3,3,3], hard=[3,3,3,3,3,3,3,3,3], tematicas_1=[3,3,3,3,3,3,3], tematicas_2=[3,3,3,3,3,3,3], random_score=[3,3,3,3,3,3,3,3,3,3,3], min1=[3,3,3,3,3,3,3,3,3], min2=[3,3,3,3,3,3,3,3,3], deluxe=[3,3,3,3,3,3,3,3,3,3,3,3,3,3], replica=[3,3,3,3,3,3,3,9,9] ) c2_b = Competitor.objects.create( name='Replica 2', easy=[3,3,3,3,3,3,3,3,9], hard=[3,3,3,3,3,3,3,3,3], tematicas_1=[3,3,3,3,3,3,3], tematicas_2=[3,3,3,3,3,3,3], random_score=[3,3,3,3,3,3,3,3,3,3,3], min1=[3,3,3,3,3,3,3,3,3], min2=[3,3,3,3,3,3,3,3,3], deluxe=[3,3,3,3,3,3,3,3,3,3,3,3,3,3], replica=[3,3,3,3,3,3,3,3,3] ) # Create VotingPolls poll1 = VotingPoll.objects.create( comp_1=c1_a, comp_2=c1_b ) poll2 = VotingPoll.objects.create( comp_1=c2_a, comp_2=c2_b ) @classmethod def setUpTestData(cls): # Create Competitors c1_a = Competitor.objects.create( name='Si', easy=[1,1,1,1,1,1,1,1,1], hard=[1,1,1,1,1,1,1,1,1], tematicas_1=[1,1,1,1,1,1,1], tematicas_2=[1,1,1,1,1,1,1], random_score=[1,1,1,1,1,1,1,1,1,1,1], min1=[1,1,1,1,1,1,1,1,1], min2=[1,1,1,1,1,1,1,1,1], deluxe=[1,1,1,1,1,1,1,1,1,1,1,1,1,1] ) c1_b = Competitor.objects.create( name='No', easy=[2,2,9,2,2,2,2,2,9], hard=[2,2,2,2,2,2,2,2,2], tematicas_1=[2,2,2,2,2,2,2], tematicas_2=[2,2,2,2,2,2,2], random_score=[2,2,2,2,2,2,2,2,2,2,2], min1=[2,2,2,2,2,2,2,2,2], min2=[2,2,2,2,2,2,2,2,2], deluxe=[2,2,2,2,2,2,2,2,2,2,2,2,2,2] ) c2_a = Competitor.objects.create( name='Replica 1', easy=[3,3,3,3,3,3,3,3,3], hard=[3,3,3,3,3,3,3,3,3], tematicas_1=[3,3,3,3,3,3,3], tematicas_2=[3,3,3,3,3,3,3], random_score=[3,3,3,3,3,3,3,3,3,3,3], min1=[3,3,3,3,3,3,3,3,3], min2=[3,3,3,3,3,3,3,3,3], deluxe=[3,3,3,3,3,3,3,3,3,3,3,3,3,3], replica=[3,3,3,3,3,3,3,9,9] ) c2_b = Competitor.objects.create( name='Replica 2', easy=[3,3,3,3,3,3,3,3,9], hard=[3,3,3,3,3,3,3,3,3], tematicas_1=[3,3,3,3,3,3,3], tematicas_2=[3,3,3,3,3,3,3], random_score=[3,3,3,3,3,3,3,3,3,3,3], min1=[3,3,3,3,3,3,3,3,3], min2=[3,3,3,3,3,3,3,3,3], deluxe=[3,3,3,3,3,3,3,3,3,3,3,3,3,3], replica=[3,3,3,3,3,3,3,3,3] ) # Create VotingPolls poll1 = VotingPoll.objects.create( comp_1=c1_a, comp_2=c1_b ) poll2 = VotingPoll.objects.create( comp_1=c2_a, comp_2=c2_b ) class Query: """ Will query what you pass in, with the variables """ def __init__(self, query: str, variables = {}): self.response = graphql_query(query, variables=variables) self.content = loads(self.response.content) def get_key_by_val(my_dict: dict, val: str or int): for key, value in my_dict.items(): if val == value: return key raise Exception('Key doesn\'t exist') def index_dict(dictionary, n=0): if n < 0: n += len(dictionary) for i, key in enumerate(dictionary.keys()): if i == n: return dictionary[key] raise IndexError("dictionary index out of range") modes_to_int = { 'easy': 0, 'hard': 1, 'tematicas_1': 2, 'tematicas_2': 3, 'random_score': 4, 'min1': 5, 'min2': 6, 'deluxe': 7, 'end': 8, 'replica': 9, } mode_aliases = { 'easy': 'Easy Mode', 'hard': 'Hard Mode', 'tematicas_1': 'Primera Temática', 'tematicas_2': 'Segunda Temática', 'random_score': 'Random Mode', 'min1': 'Primer Minuto', 'min2': 'Segundo Minuto', 'deluxe': 'Deluxe', 'end': 'end', 'replica': 'Réplica', }

25.9

61

0.563707

1,018

4,403

2.369352

0.104126

0.243781

0.320896

0.368159

0.668325

0

0.199115

0.178742

4,403

170

62

25.9

0.46792

0.02839

0

0.623377

0

0.074725

0

1

0.032468

false

0

0.019481

0

0.071429

0

null

1

0

1

0

1

0

null

0

5

36dd7237873f27d87db89881434bba85374f5569

420

py

Python

Desafios Python/m01/ex005.py

joaquimjfernandes/Curso-de-Python

3356211248d355eaa67098cebe5cdb8cf6badc75

[ "MIT" ]

null

Desafios Python/m01/ex005.py

joaquimjfernandes/Curso-de-Python

3356211248d355eaa67098cebe5cdb8cf6badc75

[ "MIT" ]

null

Desafios Python/m01/ex005.py

joaquimjfernandes/Curso-de-Python

3356211248d355eaa67098cebe5cdb8cf6badc75

[ "MIT" ]

null

print('\033[32;1mDESAFIO 05 - Antecessor e Sucessor\033[m') print('\033[32;1mALUNO:\033[m \033[36;1mJoaquim Fernandes\033[m') print('-' * 50) # ----------------------------------------------------------------------- num = int(input('Digite um Número: ')) print(f'Analisando o Valor {num}...\n Seu Antecessor é {num-1} \n Seu Sucessor é {num+1}') # -----------------------------------------------------------------------

52.5

90

0.440476

48

420

3.854167

0.583333

0.064865

0.108108

0

0.085714

0.083333

420

7

91

60

0.394805

0.340476

0

0.4

0.748175

0.080292

0

1

0

false

0

0.8

0

null

0

1

0

1

0

1

0

null

0

1

0

5

7fd5095ef94fdc73cb43f6adca64db171d75c95d

6,596

py

Python

get_index_data.py

briggslalor/Numisma

f8e67832991d0ddd16d334870c8e5e0657e2ff4e

[ "MIT" ]

null

get_index_data.py

briggslalor/Numisma

f8e67832991d0ddd16d334870c8e5e0657e2ff4e

[ "MIT" ]

null

get_index_data.py

briggslalor/Numisma

f8e67832991d0ddd16d334870c8e5e0657e2ff4e

[ "MIT" ]

null

import CryptoDownloadData as coinData import pandas as pd from pycoingecko import CoinGeckoAPI cg = CoinGeckoAPI() coinbase = {'BTC' : {'CoinGeckID' : 'bitcoin'}, 'ETH' : {'CoinGeckID' : 'ethereum'}, 'BNB' : {'CoinGeckID' : 'binancecoin'}, 'USDC' : {'CoinGeckID' : 'usd-coin'}, 'XRP' : {'CoinGeckID' : 'ripple'}, 'ADA' : {'CoinGeckID' : 'cardano'}, 'SOL' : {'CoinGeckID' : 'solana'}, 'LUNA' : {'CoinGeckID' : 'terra-luna'}, 'AVAX' : {'CoinGeckID' : 'avalanche-2'}} metaverse = {'MANA' : {'CoinGeckID' : 'decentraland'}, 'SAND' : {'CoinGeckID' : 'the-sandbox'}, 'AXS' : {'CoinGeckID' : 'axie-infinity'}, 'THETA' : {'CoinGeckID' : 'theta-token'}, 'ENJ' : {'CoinGeckID' : 'enjincoin'}, 'WEMIX' : {'CoinGeckID' : 'wemix-token'}, 'WAXP' : {'CoinGeckID' : 'wax'}, 'RNDR' : {'CoinGeckID' : 'render-token'}, 'SUSHI' : {'CoinGeckID' : 'sushi'}, 'ONT' : {'CoinGeckID' : 'ontology'}, 'UOS' : {'CoinGeckID' : 'ultra'}, 'PLA' : {'CoinGeckID' : 'playdapp'}, 'CEEK' : {'CoinGeckID' : 'ceek'}, 'CHR' : {'CoinGeckID' : 'chromaway'}} yieldfarm = {'CAKE' : {'CoinGeckID' : 'pancakeswap-token'}, 'AAVE' : {'CoinGeckID' : 'aave'}, 'CRV' : {'CoinGeckID' : 'curve-dao-token'}, 'RLY' : {'CoinGeckID' : 'rally-2'}, 'SNX' : {'CoinGeckID' : 'havven'}, 'SUSHI' : {'CoinGeckID' : 'sushi'}, 'RGT' : {'CoinGeckID' : 'rari-governance-token'}, 'REEF' : {'CoinGeckID' : 'reef-finance'}} allindex = {'CAKE' : {'CoinGeckID' : 'pancakeswap-token'}, 'AAVE' : {'CoinGeckID' : 'aave'}, 'CRV' : {'CoinGeckID' : 'curve-dao-token'}, 'RLY' : {'CoinGeckID' : 'rally-2'}, 'SNX' : {'CoinGeckID' : 'havven'}, 'SUSHI' : {'CoinGeckID' : 'sushi'}, 'RGT' : {'CoinGeckID' : 'rari-governance-token'}, 'REEF' : {'CoinGeckID' : 'reef-finance'}, 'BTC' : {'CoinGeckID' : 'bitcoin'}, 'ETH' : {'CoinGeckID' : 'ethereum'}, 'BNB' : {'CoinGeckID' : 'binancecoin'}, 'USDC' : {'CoinGeckID' : 'usd-coin'}, 'XRP' : {'CoinGeckID' : 'ripple'}, 'ADA' : {'CoinGeckID' : 'cardano'}, 'SOL' : {'CoinGeckID' : 'solana'}, 'LUNA' : {'CoinGeckID' : 'terra-luna'}, 'AVAX' : {'CoinGeckID' : 'avalanche-2'}, 'MANA' : {'CoinGeckID' : 'decentraland'}, 'SAND' : {'CoinGeckID' : 'the-sandbox'}, 'AXS' : {'CoinGeckID' : 'axie-infinity'}, 'THETA' : {'CoinGeckID' : 'theta-token'}, 'ENJ' : {'CoinGeckID' : 'enjincoin'}, 'WEMIX' : {'CoinGeckID' : 'wemix-token'}, 'WAXP' : {'CoinGeckID' : 'wax'}, 'RNDR' : {'CoinGeckID' : 'render-token'}, 'SUSHI' : {'CoinGeckID' : 'sushi'}, 'ONT' : {'CoinGeckID' : 'ontology'}, 'UOS' : {'CoinGeckID' : 'ultra'}, 'PLA' : {'CoinGeckID' : 'playdapp'}, 'CEEK' : {'CoinGeckID' : 'ceek'}, 'CHR' : {'CoinGeckID' : 'chromaway'}} def get_index_prices(selected_index): if selected_index == 'Coinbase100': index_coins = ['BTC', 'ETH', 'BNB', 'USDC', 'XRP', 'ADA', 'SOL', 'LUNA', 'AVAX'] elif selected_index == 'TopMetaverseTokens': index_coins = ['MANA', 'SAND', 'AXS', 'THETA', 'ENJ','WEMIX', 'WAXP', 'RNDR', 'SUSHI', 'ONT', 'UOS', 'PLA', 'CEEK', 'CHR'] elif selected_index == 'YieldFarmingTokens': index_coins = ['CAKE', 'AAVE', 'CRV', 'RLY', 'SNX', 'SUSHI', 'RGT', 'REEF'] else: return ('ERROR: Invalid Index Entry.') index_prices = pd.DataFrame() for i in index_coins: prices_df = coinData.get_px_history(i) prices_list = prices_df['adjClose'].values.tolist() index_prices.insert(0, i, prices_list[0:365], True) return index_prices def get_index_coins(selected_index): if selected_index == 'Coinbase100': index_coins = ['BTC', 'ETH', 'BNB', 'USDC', 'XRP', 'ADA', 'SOL', 'LUNA', 'AVAX'] elif selected_index == 'TopMetaverseTokens': index_coins = ['MANA', 'SAND', 'AXS', 'THETA', 'ENJ','WEMIX', 'WAXP', 'RNDR', 'SUSHI', 'ONT', 'UOS', 'PLA', 'CEEK', 'CHR'] elif selected_index == 'YieldFarmingTokens': index_coins = ['CAKE', 'AAVE', 'CRV', 'RLY', 'SNX', 'SUSHI', 'RGT', 'REEF'] else: return ('ERROR: Invalid Index Entry.') return index_coins def get_index_df(coins, weights): index_df = pd.DataFrame({'Coins' : coins, 'Weights' : weights}) return index_df def get_coin_values(investment, selected_index, index_df): if selected_index == 'Coinbase100': index_dict = coinbase index_coins = ['BTC', 'ETH', 'BNB', 'USDC', 'XRP', 'ADA', 'SOL', 'LUNA', 'AVAX'] elif selected_index == 'TopMetaverseTokens': index_dict = metaverse index_coins = ['MANA', 'SAND', 'AXS', 'THETA', 'ENJ','WEMIX', 'WAXP', 'RNDR', 'SUSHI', 'ONT', 'UOS', 'PLA', 'CEEK', 'CHR'] elif selected_index == 'YieldFarmingTokens': index_dict = yieldfarm index_coins = ['CAKE', 'AAVE', 'CRV', 'RLY', 'SNX', 'SUSHI', 'RGT', 'REEF'] else: return ('ERROR: Invalid Index Entry.') index_df['Investment per Coin (USD)'] = investment * index_df['Weights'] coin_prices = [] for i in index_coins: coin = i cg_id = index_dict[coin]['CoinGeckID'] price = cg.get_price(ids = cg_id, vs_currencies = 'usd') coin_prices.append(price[cg_id]['usd']) index_df['Coin Price (USD)'] = coin_prices index_df['Coins Owned'] = index_df['Investment per Coin (USD)'] / index_df['Coin Price (USD)'] return index_df def get_coin_values_by_weight_df(investment, weight_df): index_dict = allindex weight_df['weight'] = pd.to_numeric(weight_df['weight']) weight_df['investment'] = investment * weight_df['weight'] coin_prices = [] for symbol in weight_df['symbol']: cg_id = index_dict[symbol]['CoinGeckID'] price = cg.get_price(ids = cg_id, vs_currencies = 'usd') coin_prices.append(price[cg_id]['usd']) weight_df['coin_px'] = coin_prices weight_df['coin_cnt'] = weight_df['investment'] / weight_df['coin_px'] return weight_df

40.716049

130

0.52456

632

6,596

5.327532

0.197785

0.03861

0.030294

0.023166

0.777547

0.743392

0.717553

0.700327

0

0.003789

0.279867

6,596

162

131

40.716049

0.705053

0

0.671875

0

0.33106

0.006367

0

1

0.039063

false

0

0.023438

0

0.125

0

null

0

1

0

null

0

5

7fe5d795444748b3e0524b627821be13b655a753

49

py

Python

tests/helpers/__init__.py

intdata-bsc/idact

54cb65a711c145351e205970c27c83e6393cccf5

[ "MIT" ]

5

2018-12-06T15:40:34.000Z

2019-06-19T11:22:58.000Z

tests/helpers/__init__.py

garstka/idact

b9c8405c94db362c4a51d6bfdf418b14f06f0da1

[ "MIT" ]

9

2018-12-06T16:35:26.000Z

2019-04-28T19:01:40.000Z

tests/helpers/__init__.py

intdata-bsc/idact

54cb65a711c145351e205970c27c83e6393cccf5

[ "MIT" ]

2

2019-04-28T19:18:58.000Z

2019-06-17T06:56:28.000Z

"""Contains helper functionality for testing."""

24.5

48

0.755102

5

49

7.4

1

0

0.102041

49

1

49

0.840909

0.857143

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

7ff49d032a7d28a5ebf0a3c6550d132ccc214895

85

py

Python

src/features/transforms/Identity.py

maranedah/music_inpainting_benchmark

567f4ccfe135a7a6c0578a0672145414b61fd227

[ "MIT" ]

null

src/features/transforms/Identity.py

maranedah/music_inpainting_benchmark

567f4ccfe135a7a6c0578a0672145414b61fd227

[ "MIT" ]

null

src/features/transforms/Identity.py

maranedah/music_inpainting_benchmark

567f4ccfe135a7a6c0578a0672145414b61fd227

[ "MIT" ]

null

import torch class Identity: def __call__(self, data): return data

14.166667

30

0.623529

10

85

4.9

0.9

0

0.317647

85

6

31

14.166667

0.844828

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3d268b201223090d5a5c636beb59617cb7884e9e

26,125

py

Python

meltingpot/python/configs/bots/__init__.py

Rohan138/meltingpot

d4e3839225b78babcedbbbf95cf747ff9e0a87b5

[ "Apache-2.0" ]

null

meltingpot/python/configs/bots/__init__.py

Rohan138/meltingpot

d4e3839225b78babcedbbbf95cf747ff9e0a87b5

[ "Apache-2.0" ]

null

meltingpot/python/configs/bots/__init__.py

Rohan138/meltingpot

d4e3839225b78babcedbbbf95cf747ff9e0a87b5

[ "Apache-2.0" ]

null

# Copyright 2020 DeepMind Technologies Limited. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Library of stored bots for MeltingPot scenarios.""" import dataclasses import os import re from typing import Mapping, Optional import immutabledict from meltingpot.python.utils.bots import puppeteer_functions MODELS_ROOT = re.sub('meltingpot/python/.*', 'meltingpot/assets/saved_models', __file__) @dataclasses.dataclass(frozen=True) class BotConfig: """Bot config. Attributes: substrate: the substrate the bot was trained for. model_path: the path to the bot's saved model. puppeteer_fn: an optional puppeteer function used to control the bot. """ substrate: str model_path: str puppeteer_fn: Optional[puppeteer_functions.PuppeteerFn] = None def _saved_model(substrate: str, model: str, models_root: str = MODELS_ROOT) -> BotConfig: """Returns the config for a saved model bot. Args: substrate: the substrate on which the bot was trained. model: the name of the model. models_root: The path to the directory containing the saved_models. """ model_path = os.path.join(models_root, substrate, model) return BotConfig(substrate=substrate, model_path=model_path) def _puppet(substrate: str, puppeteer_fn: puppeteer_functions.PuppeteerFn, models_root: str = MODELS_ROOT) -> BotConfig: """Returns the config for a puppet bot. Args: substrate: the substrate on which the bot was trained. puppeteer_fn: the puppeteer function that controls the puppet. models_root: The path to the directory containing the saved_models. """ puppet_path = os.path.join(models_root, substrate, 'puppet') return BotConfig( substrate=substrate, model_path=puppet_path, puppeteer_fn=puppeteer_fn) BOT_CONFIGS: Mapping[str, BotConfig] = immutabledict.immutabledict( # keep-sorted start numeric=yes block=yes ah3gs_bot_finding_berry_two_the_most_tasty_0=_saved_model( substrate='allelopathic_harvest', model='ah3gs_bot_finding_berry_two_the_most_tasty_0', ), ah3gs_bot_finding_berry_two_the_most_tasty_1=_saved_model( substrate='allelopathic_harvest', model='ah3gs_bot_finding_berry_two_the_most_tasty_1', ), ah3gs_bot_finding_berry_two_the_most_tasty_4=_saved_model( substrate='allelopathic_harvest', model='ah3gs_bot_finding_berry_two_the_most_tasty_4', ), ah3gs_bot_finding_berry_two_the_most_tasty_5=_saved_model( substrate='allelopathic_harvest', model='ah3gs_bot_finding_berry_two_the_most_tasty_5', ), arena_rws_free_0=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_free_0', ), arena_rws_free_1=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_free_1', ), arena_rws_free_2=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_free_2', ), arena_rws_pure_paper_0=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_paper_0', ), arena_rws_pure_paper_1=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_paper_1', ), arena_rws_pure_paper_2=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_paper_2', ), arena_rws_pure_paper_3=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_paper_3', ), arena_rws_pure_rock_0=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_rock_0', ), arena_rws_pure_rock_1=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_rock_1', ), arena_rws_pure_rock_2=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_rock_2', ), arena_rws_pure_rock_3=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_rock_3', ), arena_rws_pure_scissors_0=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_scissors_0', ), arena_rws_pure_scissors_1=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_scissors_1', ), arena_rws_pure_scissors_2=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_scissors_2', ), arena_rws_pure_scissors_3=_saved_model( substrate='arena_running_with_scissors_in_the_matrix', model='arena_rws_pure_scissors_3', ), bach_fan_0=_saved_model( substrate='bach_or_stravinsky_in_the_matrix', model='bach_fan_0', ), bach_fan_1=_saved_model( substrate='bach_or_stravinsky_in_the_matrix', model='bach_fan_1', ), bach_fan_2=_saved_model( substrate='bach_or_stravinsky_in_the_matrix', model='bach_fan_2', ), chemistry_branched_chain_reaction_X_specialist_0=_saved_model( substrate='chemistry_branched_chain_reaction', model='chemistry_branched_chain_reaction_X_specialist_0', ), chemistry_branched_chain_reaction_X_specialist_1=_saved_model( substrate='chemistry_branched_chain_reaction', model='chemistry_branched_chain_reaction_X_specialist_1', ), chemistry_branched_chain_reaction_X_specialist_2=_saved_model( substrate='chemistry_branched_chain_reaction', model='chemistry_branched_chain_reaction_X_specialist_2', ), chemistry_branched_chain_reaction_Y_specialist_0=_saved_model( substrate='chemistry_branched_chain_reaction', model='chemistry_branched_chain_reaction_Y_specialist_0', ), chemistry_branched_chain_reaction_Y_specialist_1=_saved_model( substrate='chemistry_branched_chain_reaction', model='chemistry_branched_chain_reaction_Y_specialist_1', ), chemistry_branched_chain_reaction_Y_specialist_2=_saved_model( substrate='chemistry_branched_chain_reaction', model='chemistry_branched_chain_reaction_Y_specialist_2', ), chemistry_metabolic_cycles_food1_specialist_0=_saved_model( substrate='chemistry_metabolic_cycles', model='chemistry_metabolic_cycles_food1_specialist_0', ), chemistry_metabolic_cycles_food1_specialist_1=_saved_model( substrate='chemistry_metabolic_cycles', model='chemistry_metabolic_cycles_food1_specialist_1', ), chemistry_metabolic_cycles_food2_specialist_0=_saved_model( substrate='chemistry_metabolic_cycles', model='chemistry_metabolic_cycles_food2_specialist_0', ), chemistry_metabolic_cycles_food2_specialist_1=_saved_model( substrate='chemistry_metabolic_cycles', model='chemistry_metabolic_cycles_food2_specialist_1', ), chicken_free_0=_saved_model( substrate='chicken_in_the_matrix', model='chicken_free_0', ), chicken_free_1=_saved_model( substrate='chicken_in_the_matrix', model='chicken_free_1', ), chicken_free_2=_saved_model( substrate='chicken_in_the_matrix', model='chicken_free_2', ), chicken_free_3=_saved_model( substrate='chicken_in_the_matrix', model='chicken_free_3', ), chicken_puppet_grim=_puppet( substrate='chicken_in_the_matrix', puppeteer_fn=puppeteer_functions.GrimTwoResourceInTheMatrix(2), ), chicken_pure_dove_0=_saved_model( substrate='chicken_in_the_matrix', model='chicken_pure_dove_0', ), chicken_pure_dove_1=_saved_model( substrate='chicken_in_the_matrix', model='chicken_pure_dove_1', ), chicken_pure_dove_2=_saved_model( substrate='chicken_in_the_matrix', model='chicken_pure_dove_2', ), chicken_pure_dove_3=_saved_model( substrate='chicken_in_the_matrix', model='chicken_pure_dove_3', ), chicken_pure_hawk_0=_saved_model( substrate='chicken_in_the_matrix', model='chicken_pure_hawk_0', ), chicken_pure_hawk_1=_saved_model( substrate='chicken_in_the_matrix', model='chicken_pure_hawk_1', ), chicken_pure_hawk_2=_saved_model( substrate='chicken_in_the_matrix', model='chicken_pure_hawk_2', ), chicken_pure_hawk_3=_saved_model( substrate='chicken_in_the_matrix', model='chicken_pure_hawk_3', ), classic_rws_free_0=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_free_0', ), classic_rws_free_1=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_free_1', ), classic_rws_free_2=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_free_2', ), classic_rws_pure_paper_0=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_paper_0', ), classic_rws_pure_paper_1=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_paper_1', ), classic_rws_pure_paper_2=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_paper_2', ), classic_rws_pure_paper_3=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_paper_3', ), classic_rws_pure_rock_0=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_rock_0', ), classic_rws_pure_rock_1=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_rock_1', ), classic_rws_pure_rock_2=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_rock_2', ), classic_rws_pure_rock_3=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_rock_3', ), classic_rws_pure_scissors_0=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_scissors_0', ), classic_rws_pure_scissors_1=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_scissors_1', ), classic_rws_pure_scissors_2=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_scissors_2', ), classic_rws_pure_scissors_3=_saved_model( substrate='running_with_scissors_in_the_matrix', model='classic_rws_pure_scissors_3', ), cleanup_cleaner_1=_saved_model( substrate='clean_up', model='cleanup_cleaner_1', ), cleanup_cleaner_2=_saved_model( substrate='clean_up', model='cleanup_cleaner_2', ), cleanup_consumer_0=_saved_model( substrate='clean_up', model='cleanup_consumer_0', ), cleanup_consumer_1=_saved_model( substrate='clean_up', model='cleanup_consumer_1', ), cleanup_consumer_2=_saved_model( substrate='clean_up', model='cleanup_consumer_2', ), cleanup_puppet_alternate_clean_first=_puppet( substrate='clean_up', puppeteer_fn=puppeteer_functions.cleanup_alternate_clean_first, ), cleanup_puppet_alternate_eat_first=_puppet( substrate='clean_up', puppeteer_fn=puppeteer_functions.cleanup_alternate_eat_first, ), cleanup_puppet_reciprocator_threshold_low=_puppet( substrate='clean_up', puppeteer_fn=puppeteer_functions.ConditionalCleaner(1), ), cleanup_puppet_reciprocator_threshold_mid=_puppet( substrate='clean_up', puppeteer_fn=puppeteer_functions.ConditionalCleaner(2), ), closed_commons_zapper_0=_saved_model( substrate='commons_harvest_closed', model='closed_commons_zapper_0', ), closed_commons_zapper_1=_saved_model( substrate='commons_harvest_closed', model='closed_commons_zapper_1', ), closed_commons_zapper_2=_saved_model( substrate='commons_harvest_closed', model='closed_commons_zapper_2', ), closed_commons_zapper_3=_saved_model( substrate='commons_harvest_closed', model='closed_commons_zapper_3', ), collaborative_cooking_impassable_vmpo_pop_size_ten_0=_saved_model( substrate='collaborative_cooking_impassable', model='collaborative_cooking_impassable_vmpo_pop_size_ten_0', ), collaborative_cooking_impassable_vmpo_pop_size_ten_2=_saved_model( substrate='collaborative_cooking_impassable', model='collaborative_cooking_impassable_vmpo_pop_size_ten_2', ), collaborative_cooking_impassable_vmpo_pop_size_ten_3=_saved_model( substrate='collaborative_cooking_impassable', model='collaborative_cooking_impassable_vmpo_pop_size_ten_3', ), collaborative_cooking_impassable_vmpo_pop_size_ten_4=_saved_model( substrate='collaborative_cooking_impassable', model='collaborative_cooking_impassable_vmpo_pop_size_ten_4', ), collaborative_cooking_impassable_vmpo_pop_size_ten_6=_saved_model( substrate='collaborative_cooking_impassable', model='collaborative_cooking_impassable_vmpo_pop_size_ten_6', ), collaborative_cooking_impassable_vmpo_pop_size_ten_7=_saved_model( substrate='collaborative_cooking_impassable', model='collaborative_cooking_impassable_vmpo_pop_size_ten_7', ), collaborative_cooking_impassable_vmpo_pop_size_ten_9=_saved_model( substrate='collaborative_cooking_impassable', model='collaborative_cooking_impassable_vmpo_pop_size_ten_9', ), collaborative_cooking_passable_vmpo_pop_size_ten_5=_saved_model( substrate='collaborative_cooking_passable', model='collaborative_cooking_passable_vmpo_pop_size_ten_5', ), ctf_pseudorewards_for_main_game_events_a3c_2=_saved_model( substrate='capture_the_flag', model='ctf_pseudorewards_for_main_game_events_a3c_2', ), ctf_pseudorewards_for_main_game_events_a3c_6=_saved_model( substrate='capture_the_flag', model='ctf_pseudorewards_for_main_game_events_a3c_6', ), ctf_pseudorewards_for_main_game_events_vmpo_0=_saved_model( substrate='capture_the_flag', model='ctf_pseudorewards_for_main_game_events_vmpo_0', ), ctf_pseudorewards_for_main_game_events_vmpo_3=_saved_model( substrate='capture_the_flag', model='ctf_pseudorewards_for_main_game_events_vmpo_3', ), ctf_pseudorewards_for_main_game_events_vmpo_4=_saved_model( substrate='capture_the_flag', model='ctf_pseudorewards_for_main_game_events_vmpo_4', ), ctf_pseudorewards_for_main_game_events_vmpo_6=_saved_model( substrate='capture_the_flag', model='ctf_pseudorewards_for_main_game_events_vmpo_6', ), ctf_pseudorewards_for_main_game_events_vmpo_7=_saved_model( substrate='capture_the_flag', model='ctf_pseudorewards_for_main_game_events_vmpo_7', ), koth_default_vmpo_0=_saved_model( substrate='king_of_the_hill', model='koth_default_vmpo_0', ), koth_default_vmpo_1=_saved_model( substrate='king_of_the_hill', model='koth_default_vmpo_1', ), koth_default_vmpo_2=_saved_model( substrate='king_of_the_hill', model='koth_default_vmpo_2', ), koth_default_vmpo_3=_saved_model( substrate='king_of_the_hill', model='koth_default_vmpo_3', ), koth_default_vmpo_4=_saved_model( substrate='king_of_the_hill', model='koth_default_vmpo_4', ), koth_default_vmpo_5=_saved_model( substrate='king_of_the_hill', model='koth_default_vmpo_5', ), koth_default_vmpo_6=_saved_model( substrate='king_of_the_hill', model='koth_default_vmpo_6', ), koth_default_vmpo_7=_saved_model( substrate='king_of_the_hill', model='koth_default_vmpo_7', ), koth_zap_while_in_control_a3c_0=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_a3c_0', ), koth_zap_while_in_control_a3c_1=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_a3c_1', ), koth_zap_while_in_control_a3c_2=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_a3c_2', ), koth_zap_while_in_control_a3c_3=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_a3c_3', ), koth_zap_while_in_control_a3c_4=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_a3c_4', ), koth_zap_while_in_control_a3c_5=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_a3c_5', ), koth_zap_while_in_control_a3c_6=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_a3c_6', ), koth_zap_while_in_control_a3c_7=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_a3c_7', ), koth_zap_while_in_control_vmpo_0=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_vmpo_0', ), koth_zap_while_in_control_vmpo_1=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_vmpo_1', ), koth_zap_while_in_control_vmpo_2=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_vmpo_2', ), koth_zap_while_in_control_vmpo_3=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_vmpo_3', ), koth_zap_while_in_control_vmpo_4=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_vmpo_4', ), koth_zap_while_in_control_vmpo_5=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_vmpo_5', ), koth_zap_while_in_control_vmpo_6=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_vmpo_6', ), koth_zap_while_in_control_vmpo_7=_saved_model( substrate='king_of_the_hill', model='koth_zap_while_in_control_vmpo_7', ), open_commons_zapper_0=_saved_model( substrate='commons_harvest_open', model='open_commons_zapper_0', ), open_commons_zapper_1=_saved_model( substrate='commons_harvest_open', model='open_commons_zapper_1', ), partnership_commons_putative_good_partner_4=_saved_model( substrate='commons_harvest_partnership', model='partnership_commons_putative_good_partner_4', ), partnership_commons_putative_good_partner_5=_saved_model( substrate='commons_harvest_partnership', model='partnership_commons_putative_good_partner_5', ), partnership_commons_putative_good_partner_7=_saved_model( substrate='commons_harvest_partnership', model='partnership_commons_putative_good_partner_7', ), partnership_commons_zapper_1=_saved_model( substrate='commons_harvest_partnership', model='partnership_commons_zapper_1', ), partnership_commons_zapper_2=_saved_model( substrate='commons_harvest_partnership', model='partnership_commons_zapper_2', ), prisoners_dilemma_cooperator_2=_saved_model( substrate='prisoners_dilemma_in_the_matrix', model='prisoners_dilemma_cooperator_2', ), prisoners_dilemma_cooperator_4=_saved_model( substrate='prisoners_dilemma_in_the_matrix', model='prisoners_dilemma_cooperator_4', ), prisoners_dilemma_defector_0=_saved_model( substrate='prisoners_dilemma_in_the_matrix', model='prisoners_dilemma_defector_0', ), prisoners_dilemma_defector_2=_saved_model( substrate='prisoners_dilemma_in_the_matrix', model='prisoners_dilemma_defector_2', ), prisoners_dilemma_free_0=_saved_model( substrate='prisoners_dilemma_in_the_matrix', model='prisoners_dilemma_free_0', ), prisoners_dilemma_free_1=_saved_model( substrate='prisoners_dilemma_in_the_matrix', model='prisoners_dilemma_free_1', ), prisoners_dilemma_free_2=_saved_model( substrate='prisoners_dilemma_in_the_matrix', model='prisoners_dilemma_free_2', ), prisoners_dilemma_puppet_grim_threshold_high=_puppet( substrate='prisoners_dilemma_in_the_matrix', puppeteer_fn=puppeteer_functions.GrimTwoResourceInTheMatrix(2), ), prisoners_dilemma_puppet_grim_threshold_low=_puppet( substrate='prisoners_dilemma_in_the_matrix', puppeteer_fn=puppeteer_functions.GrimTwoResourceInTheMatrix(1), ), pure_coordination_type_1_specialist_0=_saved_model( substrate='pure_coordination_in_the_matrix', model='pure_coordination_type_1_specialist_0', ), pure_coordination_type_1_specialist_1=_saved_model( substrate='pure_coordination_in_the_matrix', model='pure_coordination_type_1_specialist_1', ), pure_coordination_type_2_specialist_0=_saved_model( substrate='pure_coordination_in_the_matrix', model='pure_coordination_type_2_specialist_0', ), pure_coordination_type_2_specialist_1=_saved_model( substrate='pure_coordination_in_the_matrix', model='pure_coordination_type_2_specialist_1', ), pure_coordination_type_3_specialist_0=_saved_model( substrate='pure_coordination_in_the_matrix', model='pure_coordination_type_3_specialist_0', ), pure_coordination_type_3_specialist_1=_saved_model( substrate='pure_coordination_in_the_matrix', model='pure_coordination_type_3_specialist_1', ), rationalizable_coordination_type_1_specialist_0=_saved_model( substrate='rationalizable_coordination_in_the_matrix', model='rationalizable_coordination_type_1_specialist_0', ), rationalizable_coordination_type_1_specialist_1=_saved_model( substrate='rationalizable_coordination_in_the_matrix', model='rationalizable_coordination_type_1_specialist_1', ), rationalizable_coordination_type_2_specialist_0=_saved_model( substrate='rationalizable_coordination_in_the_matrix', model='rationalizable_coordination_type_2_specialist_0', ), rationalizable_coordination_type_2_specialist_1=_saved_model( substrate='rationalizable_coordination_in_the_matrix', model='rationalizable_coordination_type_2_specialist_1', ), rationalizable_coordination_type_3_specialist_0=_saved_model( substrate='rationalizable_coordination_in_the_matrix', model='rationalizable_coordination_type_3_specialist_0', ), rationalizable_coordination_type_3_specialist_1=_saved_model( substrate='rationalizable_coordination_in_the_matrix', model='rationalizable_coordination_type_3_specialist_1', ), stag_hunt_hare_specialist_0=_saved_model( substrate='stag_hunt_in_the_matrix', model='stag_hunt_hare_specialist_0', ), stag_hunt_hare_specialist_1=_saved_model( substrate='stag_hunt_in_the_matrix', model='stag_hunt_hare_specialist_1', ), stag_hunt_hare_specialist_2=_saved_model( substrate='stag_hunt_in_the_matrix', model='stag_hunt_hare_specialist_2', ), stag_hunt_puppet_grim=_puppet( substrate='stag_hunt_in_the_matrix', puppeteer_fn=puppeteer_functions.GrimTwoResourceInTheMatrix(1), ), stag_hunt_stag_specialist_3=_saved_model( substrate='stag_hunt_in_the_matrix', model='stag_hunt_stag_specialist_3', ), stag_hunt_stag_specialist_5=_saved_model( substrate='stag_hunt_in_the_matrix', model='stag_hunt_stag_specialist_5', ), stravinsky_fan_0=_saved_model( substrate='bach_or_stravinsky_in_the_matrix', model='stravinsky_fan_0', ), stravinsky_fan_1=_saved_model( substrate='bach_or_stravinsky_in_the_matrix', model='stravinsky_fan_1', ), stravinsky_fan_2=_saved_model( substrate='bach_or_stravinsky_in_the_matrix', model='stravinsky_fan_2', ), territory_closed_reply_to_zapper_0=_saved_model( substrate='territory_rooms', model='territory_closed_reply_to_zapper_0', ), territory_closed_reply_to_zapper_1=_saved_model( substrate='territory_rooms', model='territory_closed_reply_to_zapper_1', ), territory_open_painter_0=_saved_model( substrate='territory_open', model='territory_open_painter_0', ), territory_open_painter_1=_saved_model( substrate='territory_open', model='territory_open_painter_1', ), territory_open_painter_2=_saved_model( substrate='territory_open', model='territory_open_painter_2', ), territory_open_painter_3=_saved_model( substrate='territory_open', model='territory_open_painter_3', ), # keep-sorted end )

37.53592

78

0.737455

3,276

26,125

5.212759

0.070208

0.087837

0.164666

0.067459

0.867892

0.847924

0.80828

0.753352

0.68238

0.644317

0

0.017264

0.184077

26,125

695

79

37.589928

0.783871

0.050373

0

0.487616

0

0.341296

0.283578

0

1

0.003096

false

0.037152

0.009288

0

0.021672

0

null

0

1

0

1

0

null

0

5

3d4ec61a695a8dd3259127399fe17dc85d227a82

163

py

Python

mip_tool/__init__.py

SaitoTsutomu/mip-tool

50e02a1ba928690c5d1c79a4ed0b17b81576e4fa

[ "MIT" ]

null

mip_tool/__init__.py

SaitoTsutomu/mip-tool

50e02a1ba928690c5d1c79a4ed0b17b81576e4fa

[ "MIT" ]

null

mip_tool/__init__.py

SaitoTsutomu/mip-tool

50e02a1ba928690c5d1c79a4ed0b17b81576e4fa

[ "MIT" ]

null

from .util import monotone_decreasing, monotone_increasing # noqa isort:skip from .util import add_line, add_lines, add_lines_conv, show_model # noqa isort:skip

54.333333

84

0.815951

25

163

5.04

0.6

0.126984

0.222222

0

0.122699

163

2

85

81.5

0.881119

0.190184

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

e9eaacba12a645ede05c09672b9bf0e686e83f5a

239

py

Python

model/encryption.py

vjohndo/casino

749315eda707f15616a1a9bee6098fa28774cc68

[ "MIT" ]

null

model/encryption.py

vjohndo/casino

749315eda707f15616a1a9bee6098fa28774cc68

[ "MIT" ]

null

model/encryption.py

vjohndo/casino

749315eda707f15616a1a9bee6098fa28774cc68

[ "MIT" ]

null

import bcrypt def is_password_correct(login_password, password_hash): return bcrypt.checkpw(login_password.encode(), password_hash.encode()) def hashpw(password): return bcrypt.hashpw(password.encode(), bcrypt.gensalt()).decode()

34.142857

74

0.782427

30

239

6.033333

0.466667

0.143646

0

0.09205

239

7

75

34.142857

0.834101

0

1

0.4

false

0.8

0.2

0.4

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

181e9df70c6863a312c9b7dc2000bf4536aeab91

254

py

Python

inserindo cores no terminal .py

Danielporcela/Meus-exercicios-phyton

11e44fba4c4f4c1a9e6926daa4b33fc1a3792399

[ "MIT" ]

2

2021-04-03T00:20:05.000Z

2021-04-05T09:55:44.000Z

inserindo cores no terminal .py

Danielporcela/Meus-exercicios-phyton

11e44fba4c4f4c1a9e6926daa4b33fc1a3792399

[ "MIT" ]

null

inserindo cores no terminal .py

Danielporcela/Meus-exercicios-phyton

11e44fba4c4f4c1a9e6926daa4b33fc1a3792399

[ "MIT" ]

null

#Nessa aula, vamos aprender como utilizar os códigos de escape sequence ANSI para configurar cores para os seus programas em Python. Veja como utilizar o código \033[m com todas as suas principais possibilidades. print(" \033[0;32m meu texto \033[m")

50.8

212

0.779528

42

254

4.714286

0.833333

0.121212

0

0.056338

0.161417

254

4

213

63.5

0.873239

0.830709

0

0.707317

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

5

1852fd0627ffbfb770b63dec98d7d74d07d5a8c0

3,572

py

Python

python_grpc_demo/demo_pb2_grpc.py

noahzaozao/python_frameworks

2f1ed0be3be322d4b8251d893b886312db41859c

[ "Apache-2.0" ]

null

python_grpc_demo/demo_pb2_grpc.py

noahzaozao/python_frameworks

2f1ed0be3be322d4b8251d893b886312db41859c

[ "Apache-2.0" ]

null

python_grpc_demo/demo_pb2_grpc.py

noahzaozao/python_frameworks

2f1ed0be3be322d4b8251d893b886312db41859c

[ "Apache-2.0" ]

null

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! import grpc import demo_pb2 as demo__pb2 class DemoServiceStub(object): # missing associated documentation comment in .proto file pass def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.ApiCreate = channel.unary_unary( '/demo.DemoService/ApiCreate', request_serializer=demo__pb2.RequestData.SerializeToString, response_deserializer=demo__pb2.ResponseData.FromString, ) self.ApiUpdate = channel.unary_unary( '/demo.DemoService/ApiUpdate', request_serializer=demo__pb2.RequestData.SerializeToString, response_deserializer=demo__pb2.ResponseData.FromString, ) self.ApiList = channel.unary_unary( '/demo.DemoService/ApiList', request_serializer=demo__pb2.RequestData.SerializeToString, response_deserializer=demo__pb2.ResponseData.FromString, ) self.ApiDelete = channel.unary_unary( '/demo.DemoService/ApiDelete', request_serializer=demo__pb2.RequestData.SerializeToString, response_deserializer=demo__pb2.ResponseData.FromString, ) class DemoServiceServicer(object): # missing associated documentation comment in .proto file pass def ApiCreate(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ApiUpdate(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ApiList(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ApiDelete(self, request, context): # missing associated documentation comment in .proto file pass context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_DemoServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'ApiCreate': grpc.unary_unary_rpc_method_handler( servicer.ApiCreate, request_deserializer=demo__pb2.RequestData.FromString, response_serializer=demo__pb2.ResponseData.SerializeToString, ), 'ApiUpdate': grpc.unary_unary_rpc_method_handler( servicer.ApiUpdate, request_deserializer=demo__pb2.RequestData.FromString, response_serializer=demo__pb2.ResponseData.SerializeToString, ), 'ApiList': grpc.unary_unary_rpc_method_handler( servicer.ApiList, request_deserializer=demo__pb2.RequestData.FromString, response_serializer=demo__pb2.ResponseData.SerializeToString, ), 'ApiDelete': grpc.unary_unary_rpc_method_handler( servicer.ApiDelete, request_deserializer=demo__pb2.RequestData.FromString, response_serializer=demo__pb2.ResponseData.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'demo.DemoService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,))

36.44898

71

0.737402

364

3,572

6.967033

0.181319

0.049685

0.053628

0.087539

0.789432

0.738959

0.679022

0

0.006167

0.182811

3,572

97

72

36.824742

0.862624

0.12626

0

0.520548

1

0

0.109819

0.034238

0

1

0.082192

false

0.082192

0.027397

0

0.136986

0

null

0

1

0

1

0

1

0

null

0

1

0

5

43ee56ef0a193a3e360c154e968980499d9cf210

22

py

Python

hello.py

projeffboy/github-playground

17f8b0d5767a731e77ec69dc38f580aafc5d997f

[ "MIT" ]

null

hello.py

projeffboy/github-playground

17f8b0d5767a731e77ec69dc38f580aafc5d997f

[ "MIT" ]

null

hello.py

projeffboy/github-playground

17f8b0d5767a731e77ec69dc38f580aafc5d997f

[ "MIT" ]

null

print(hello good sir)

11

21

0.772727

4

22

4.25

1

0

0.136364

22

1

22

0.894737

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

5

43ef36c9653c216668ef56b2205276a97548f7b7

5,763

py

Python

data_creator/prepare_two_phase2.py

neduchal/io_classification_experiment

f22a0eac84c23dbbcb9eed35c00c37a1e1a1342b

[ "MIT" ]

null

data_creator/prepare_two_phase2.py

neduchal/io_classification_experiment

f22a0eac84c23dbbcb9eed35c00c37a1e1a1342b

[ "MIT" ]

null

data_creator/prepare_two_phase2.py

neduchal/io_classification_experiment

f22a0eac84c23dbbcb9eed35c00c37a1e1a1342b

[ "MIT" ]

null

import tarfile import os # import os.path import numpy as np import cv2 import h5py import random import description as d from sklearn import preprocessing import common_two_phase2 as common # Parameters hist_settings = [32,64,128,256] dataset_name_base = "two_phase_basic2" directory = "./data" categories_filename = "./categories_io.txt" output_path = "./prepared" val_path = "./miniplaces/data/val.txt" types = ["rgb", "hsv"] print("loading classes") desc_file = open(categories_filename, "r").read().split("\n") if desc_file[-1] == "": desc_file = desc_file[:-1] classes = [] classes_nums = [] classes_io = [] for row in desc_file: items = row.split(" ") classes.append(items[0]) classes_nums.append(items[1]) classes_io.append(items[2]) train_directory = os.path.join(directory, "train") test_directory = os.path.join(directory, "test") val_directory = os.path.join(directory, "val") fname_begin_train = len(train_directory) fname_begin_test = len(test_directory) fname_begin_val = len(val_directory) val_names = common.get_all_files(val_directory) classes_val = open(val_path).read().split("\n") #train_names = common.get_all_files(train_directory) #random.shuffle(train_names) train_names = open("filelist.txt", "r").read().split("\n") if len(train_names[-1]) == 0: train_names = train_names[:-1] test_names = train_names[0:int(0.1 * len(train_names))] train_names = train_names[int(0.1 * len(train_names)):] """ for hs in hist_settings: for t in types: dataset_name = t + "_color_" + dataset_name_base + "_" + str(hs) print("Creating dataset " + dataset_name) output_directory = os.path.join(output_path, dataset_name) if not os.path.exists(output_directory): os.makedirs(output_directory) #print("VAL") #val_data_x, val_data_y, val_data_y_io = common.process_hist(val_names, classes_val, classes_io, classes_nums, fname_begin_val, True, t, hs) #for i in range(16): # common.save_to_h5(os.path.join(output_directory, 'val_'+str(i)+'.h5'), val_data_x[i], val_data_y, val_data_y_io) print("TRAIN") train_data_x, train_data_y, train_data_y_io = common.process_hist(train_names, classes, classes_io, classes_nums, fname_begin_train, False, t, hs) for i in range(16): common.save_to_h5(os.path.join(output_directory, 'train_'+str(i)+'.h5'), train_data_x[i], train_data_y, train_data_y_io) print("TEST") test_data_x, test_data_y, test_data_y_io = common.process_hist(test_names, classes, classes_io, classes_nums, fname_begin_train, False, t, hs) for i in range(16): common.save_to_h5(os.path.join(output_directory, 'test_'+str(i)+'.h5'), test_data_x[i], test_data_y, test_data_y_io) print("DONE") #del val_data_x, val_data_y, val_data_y_io del train_data_x, train_data_y, train_data_y_io del test_data_x, test_data_y, test_data_y_io for hs in hist_settings: dataset_name = "texture_" + dataset_name_base + "_" + str(hs) print("Creating dataset " + dataset_name) output_directory = os.path.join(output_path, dataset_name) if not os.path.exists(output_directory): os.makedirs(output_directory) print("VAL") #val_data_x, val_data_y, val_data_y_io = common.process_centrist(val_names, classes_val, classes_io, classes_nums, fname_begin_val, True, hs) #for i in range(16): # common.save_to_h5(os.path.join(output_directory, 'val_'+str(i)+'.h5'), val_data_x[i], val_data_y, val_data_y_io) print("TRAIN") train_data_x, train_data_y, train_data_y_io = common.process_centrist(train_names, classes, classes_io, classes_nums, fname_begin_train, False, hs) for i in range(16): common.save_to_h5(os.path.join(output_directory, 'train_'+str(i)+'.h5'), train_data_x[i], train_data_y, train_data_y_io) print("TEST") test_data_x, test_data_y, test_data_y_io = common.process_centrist(test_names, classes, classes_io, classes_nums, fname_begin_train, False, hs) for i in range(16): common.save_to_h5(os.path.join(output_directory, 'test_'+str(i)+'.h5'), test_data_x[i], test_data_y, test_data_y_io) print("DONE") #del val_data_x, val_data_y, val_data_y_io del train_data_x, train_data_y, train_data_y_io del test_data_x, test_data_y, test_data_y_io """ for hs in hist_settings: for t in types: dataset_name = t + "_ct_" + dataset_name_base + "_" + str(hs) print("Creating dataset " + dataset_name) output_directory = os.path.join(output_path, dataset_name) if not os.path.exists(output_directory): os.makedirs(output_directory) #print("VAL") #val_data_x, val_data_y, val_data_y_io = common.process_color_centrist(val_names, classes_val, classes_io, classes_nums, fname_begin_val, True, t, hs) #common.save_to_h5(os.path.join(output_directory, 'val.h5'), val_data_x, val_data_y, val_data_y_io) print("TRAIN") train_data_x, train_data_y, train_data_y_io = common.process_color_centrist(train_names, classes, classes_io, classes_nums, fname_begin_train, False, t, hs) common.save_to_h5(os.path.join(output_directory, 'train.h5'), train_data_x, train_data_y_io) print("TEST") test_data_x, test_data_y, test_data_y_io = common.process_color_centrist(test_names, classes, classes_io, classes_nums, fname_begin_train, False, t, hs) common.save_to_h5(os.path.join(output_directory, 'test.h5'), test_data_x, test_data_y_io) print("DONE") #del val_data_x, val_data_y, val_data_y_io #del train_data_x, train_data_y, train_data_y_io #del test_data_x, test_data_y, test_data_y_io

47.237705

164

0.711435

934

5,763

3.993576

0.107066

0.069705

0.05067

0.051475

0.772386

0.731099

0.713137

0.709115

0

0.011873

0.166927

5,763

122

165

47.237705

0.765049

0.085719

0

0.077754

0.010799

0

1

0

false

0

0.163636

0

0.163636

0.090909

0

null

0

1

0

null

0

5

a1191da1daa081572a217a78bd586993c38ae6f1

9,226

py

Python

test/geometry/epipolar/test_projection.py

ChristophReich1996/kornia

35f955b46e8015da1cb9faa28c6943ec2b09cc2a

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

null

test/geometry/epipolar/test_projection.py

ChristophReich1996/kornia

35f955b46e8015da1cb9faa28c6943ec2b09cc2a

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

null

test/geometry/epipolar/test_projection.py

ChristophReich1996/kornia

35f955b46e8015da1cb9faa28c6943ec2b09cc2a

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

null

import pytest import torch from torch.autograd import gradcheck from torch.testing import assert_allclose import kornia.geometry.epipolar as epi class TestIntrinsicsLike: def test_smoke(self, device, dtype): image = torch.rand(1, 3, 4, 4, device=device, dtype=dtype) focal = torch.rand(1, device=device, dtype=dtype) camera_matrix = epi.intrinsics_like(focal, image) assert camera_matrix.shape == (1, 3, 3) @pytest.mark.parametrize("batch_size", [1, 2, 4, 9]) def test_shape(self, batch_size, device, dtype): B: int = batch_size focal: float = 100.0 image = torch.rand(B, 3, 4, 4, device=device, dtype=dtype) camera_matrix = epi.intrinsics_like(focal, image) assert camera_matrix.shape == (B, 3, 3) assert camera_matrix.device == image.device assert camera_matrix.dtype == image.dtype class TestScaleIntrinsics: def test_smoke_float(self, device, dtype): scale_factor: float = 1.0 camera_matrix = torch.rand(1, 3, 3, device=device, dtype=dtype) camera_matrix_scale = epi.scale_intrinsics(camera_matrix, scale_factor) assert camera_matrix_scale.shape == (1, 3, 3) def test_smoke_tensor(self, device, dtype): scale_factor = torch.tensor(1.0) camera_matrix = torch.rand(1, 3, 3, device=device, dtype=dtype) camera_matrix_scale = epi.scale_intrinsics(camera_matrix, scale_factor) assert camera_matrix_scale.shape == (1, 3, 3) @pytest.mark.parametrize("batch_size", [1, 2, 4, 9]) def test_shape(self, batch_size, device, dtype): B: int = batch_size scale_factor = torch.rand(B, device=device, dtype=dtype) camera_matrix = torch.rand(B, 3, 3, device=device, dtype=dtype) camera_matrix_scale = epi.scale_intrinsics(camera_matrix, scale_factor) assert camera_matrix_scale.shape == (B, 3, 3) def test_scale_double(self, device, dtype): scale_factor = torch.tensor(0.5) camera_matrix = torch.tensor([[ [100., 0., 50.], [0., 100., 50.], [0., 0., 1.], ]], device=device, dtype=dtype) camera_matrix_expected = torch.tensor( [[ [50., 0., 25.], [0., 50., 25.], [0., 0., 1.], ]], device=device, dtype=dtype ) camera_matrix_scale = epi.scale_intrinsics(camera_matrix, scale_factor) assert_allclose(camera_matrix_scale, camera_matrix_expected, atol=1e-4, rtol=1e-4) def test_gradcheck(self, device): scale_factor = torch.ones(1, device=device, dtype=torch.float64, requires_grad=True) camera_matrix = torch.ones(1, 3, 3, device=device, dtype=torch.float64) assert gradcheck(epi.scale_intrinsics, ( camera_matrix, scale_factor, ), raise_exception=True) class TestProjectionFromKRt: def test_smoke(self, device, dtype): K = torch.rand(1, 3, 3, device=device, dtype=dtype) R = torch.rand(1, 3, 3, device=device, dtype=dtype) t = torch.rand(1, 3, 1, device=device, dtype=dtype) P = epi.projection_from_KRt(K, R, t) assert P.shape == (1, 3, 4) @pytest.mark.parametrize("batch_size", [1, 2, 4]) def test_shape(self, batch_size, device, dtype): B: int = batch_size K = torch.rand(B, 3, 3, device=device, dtype=dtype) R = torch.rand(B, 3, 3, device=device, dtype=dtype) t = torch.rand(B, 3, 1, device=device, dtype=dtype) P = epi.projection_from_KRt(K, R, t) assert P.shape == (B, 3, 4) def test_simple(self, device, dtype): K = torch.tensor([[ [10., 0., 30.], [0., 20., 40.], [0., 0., 1.], ]], device=device, dtype=dtype) R = torch.tensor([[ [1., 0., 0.], [0., 1., 0.], [0., 0., 1.], ]], device=device, dtype=dtype) t = torch.tensor([ [[1.], [2.], [3.]], ], device=device, dtype=dtype) P_expected = torch.tensor( [[ [10., 0., 30., 100.], [0., 20., 40., 160.], [0., 0., 1., 3.], ]], device=device, dtype=dtype ) P_estimated = epi.projection_from_KRt(K, R, t) assert_allclose(P_estimated, P_expected, atol=1e-4, rtol=1e-4) def test_krt_from_projection(self, device, dtype): P = torch.tensor( [[ [10., 0., 30., 100.], [0., 20., 40., 160.], [0., 0., 1., 3.], ]], device=device, dtype=dtype ) K_expected = torch.tensor([[ [10., 0., 30.], [0., 20., 40.], [0., 0., 1.], ]], device=device, dtype=dtype) R_expected = torch.tensor([[ [1., 0., 0.], [0., 1., 0.], [0., 0., 1.], ]], device=device, dtype=dtype) t_expected = torch.tensor([[[1.], [2.], [3.]]], device=device, dtype=dtype) K_estimated, R_estimated, t_estimated = epi.KRt_from_projection(P) assert_allclose(K_estimated, K_expected, atol=1e-4, rtol=1e-4) assert_allclose(R_estimated, R_expected, atol=1e-4, rtol=1e-4) assert_allclose(t_estimated, t_expected, atol=1e-4, rtol=1e-4) def test_gradcheck(self, device): K = torch.rand(1, 3, 3, device=device, dtype=torch.float64, requires_grad=True) R = torch.rand(1, 3, 3, device=device, dtype=torch.float64) t = torch.rand(1, 3, 1, device=device, dtype=torch.float64) assert gradcheck(epi.projection_from_KRt, ( K, R, t, ), raise_exception=True) class TestProjectionsFromFundamental: def test_smoke(self, device, dtype): F_mat = torch.rand(1, 3, 3, device=device, dtype=dtype) P = epi.projections_from_fundamental(F_mat) assert P.shape == (1, 3, 4, 2) @pytest.mark.parametrize("batch_size", [1, 2, 4]) def test_shape(self, batch_size, device, dtype): B: int = batch_size F_mat = torch.rand(B, 3, 3, device=device, dtype=dtype) P = epi.projections_from_fundamental(F_mat) assert P.shape == (B, 3, 4, 2) def test_gradcheck(self, device): F_mat = torch.rand(1, 3, 3, device=device, dtype=torch.float64, requires_grad=True) assert gradcheck(epi.projections_from_fundamental, (F_mat, ), raise_exception=True) class TestKRtFromProjection: def test_smoke(self, device, dtype): P = torch.randn(1, 3, 4, device=device, dtype=dtype) K, R, t = epi.KRt_from_projection(P) assert K.shape == (1, 3, 3) assert R.shape == (1, 3, 3) assert t.shape == (1, 3, 1) @pytest.mark.parametrize("batch_size", [1, 2, 4]) def test_shape(self, batch_size, device, dtype): B: int = batch_size P = torch.rand(B, 3, 4, device=device, dtype=dtype) K, R, t = epi.KRt_from_projection(P) assert K.shape == (B, 3, 3) assert R.shape == (B, 3, 3) assert t.shape == (B, 3, 1) def test_simple(self, device, dtype): P = torch.tensor( [[[308., 139., 231., 84.], [481., 161., 358., 341.], [384., 387., 459., 102.]]], device=device, dtype=dtype ) K_expected = torch.tensor( [[[17.006138, 122.441254, 390.211426], [0.0, 228.743622, 577.167480], [0.0, 0.0, 712.675232]]], device=device, dtype=dtype ) R_expected = torch.tensor( [[[0.396559, 0.511023, -0.762625], [0.743249, -0.666318, -0.060006], [0.538815, 0.543024, 0.644052]]], device=device, dtype=dtype ) t_expected = torch.tensor([[[-6.477699], [1.129624], [0.143123]]], device=device, dtype=dtype) K_estimated, R_estimated, t_estimated = epi.KRt_from_projection(P) assert_allclose(K_estimated, K_expected, atol=1e-4, rtol=1e-4) assert_allclose(R_estimated, R_expected, atol=1e-4, rtol=1e-4) assert_allclose(t_estimated, t_expected, atol=1e-4, rtol=1e-4) def test_projection_from_krt(self, device, dtype): K = torch.tensor( [[[17.006138, 122.441254, 390.211426], [0.0, 228.743622, 577.167480], [0.0, 0.0, 712.675232]]], device=device, dtype=dtype ) R = torch.tensor( [[[0.396559, 0.511023, -0.762625], [0.743249, -0.666318, -0.060006], [0.538815, 0.543024, 0.644052]]], device=device, dtype=dtype ) t = torch.tensor([ [[-6.477699], [1.129624], [0.143123]], ], device=device, dtype=dtype) P_expected = torch.tensor( [[[308., 139., 231., 84.], [481., 161., 358., 341.], [384., 387., 459., 102.]]], device=device, dtype=dtype ) P_estimated = epi.projection_from_KRt(K, R, t) assert_allclose(P_estimated, P_expected, atol=1e-4, rtol=1e-4) def test_gradcheck(self, device): P_mat = torch.rand(1, 3, 4, device=device, dtype=torch.float64, requires_grad=True) assert gradcheck(epi.KRt_from_projection, (P_mat, ), raise_exception=True)

36.611111

119

0.573596

1,249

9,226

4.093675

0.096878

0.12478

0.139644

0.150597

0.860356

0.823783

0.769216

0.737727

0.69998

0.640915

0

0.097368

0.275309

9,226

251

120

36.756972

0.667365

0

0.537313

0

0.005419

0

0.154229

1

0.099502

false

0

0.024876

0

0.149254

0

null

0

1

0

1

0

null

0

5

a13b4dceee9d1e66bf8d908ee68ae02c16b23727

19

py

Python

beeline/version.py

SeanHood/beeline-python

017a08bd91c9284ce4a5f5b5e9d9f3cb286e8dec

[ "Apache-2.0" ]

null

beeline/version.py

SeanHood/beeline-python

017a08bd91c9284ce4a5f5b5e9d9f3cb286e8dec

[ "Apache-2.0" ]

null

beeline/version.py

SeanHood/beeline-python

017a08bd91c9284ce4a5f5b5e9d9f3cb286e8dec

[ "Apache-2.0" ]

null

VERSION = '2.11.0'

9.5

18

0.578947

4

19

2.75

1

0

0.25

0.157895

19

1

19

0.4375

0

0.315789

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

a1addaf6f91811fec0a90bc034f2c73c1e4305bd

4,863

py

Python

epytope/Data/pssms/arb/mat/B_4001_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

7

2021-02-01T18:11:28.000Z

2022-01-31T19:14:07.000Z

epytope/Data/pssms/arb/mat/B_4001_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

22

2021-01-02T15:25:23.000Z

2022-03-14T11:32:53.000Z

epytope/Data/pssms/arb/mat/B_4001_9.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

4

2021-05-28T08:50:38.000Z

2022-03-14T11:45:32.000Z

B_4001_9 = {0: {'A': 0.2077610562759658, 'C': -0.2669933043368034, 'E': -0.12792660087725455, 'D': -0.3626558736049774, 'G': 0.35729098554184324, 'F': -0.18289329450865147, 'I': -0.16070579048536174, 'H': 0.1088676729196258, 'K': -0.07451273025393997, 'M': 0.121759908391039, 'L': 0.1722960731632381, 'N': -0.12615871403421008, 'Q': 0.05879046627513036, 'P': -0.36881018484686606, 'S': 0.07666039236356763, 'R': 0.13193868623618532, 'T': -0.05274583178037905, 'W': 0.1351401599930177, 'V': -0.2305214242077551, 'Y': -0.09566282887938869}, 1: {'A': -0.4484212332863034, 'C': -0.2521839193203798, 'E': 1.9419896385458908, 'D': -0.44852853181941355, 'G': -0.4701824055743268, 'F': -0.39628100613040884, 'I': -0.47911668117371137, 'H': -0.38438987207938613, 'K': -0.44110799678748347, 'M': -0.4088413616948616, 'L': -0.522131446637918, 'N': -0.4628157659654495, 'Q': 0.195962413108542, 'P': -0.5335898451353425, 'S': -0.4339902480016938, 'R': -0.4712486457739077, 'T': -0.47865842114325996, 'W': -0.429435264218871, 'V': -0.49129794408344646, 'Y': -0.5171256163758323}, 2: {'A': 0.010819187864985112, 'C': 0.2500405364643315, 'E': 0.08034060255010227, 'D': -0.1315786664358783, 'G': -0.03564285075522801, 'F': 0.05557513380965841, 'I': 0.31841918533325775, 'H': 0.2796769117223349, 'K': -0.2899508744308094, 'M': 0.2630279147125642, 'L': 0.2153568333723438, 'N': 0.17091513024037117, 'Q': -0.19385623682810071, 'P': -0.3415951485600066, 'S': -0.028958807903552205, 'R': -0.4072492315582124, 'T': 0.047481293210211786, 'W': 0.15541982088464643, 'V': 0.36087442134600356, 'Y': -0.136081696231375}, 3: {'A': 0.25233005858909424, 'C': 0.08602094879774362, 'E': -0.11790276637629579, 'D': -0.09607075235091556, 'G': 0.21841431122002622, 'F': 0.1076187943490457, 'I': -0.09120416968797997, 'H': -0.12071082502762819, 'K': -0.04550194002977235, 'M': -0.03585982900235549, 'L': 0.12408805485136665, 'N': 0.025607595090719554, 'Q': -0.041614773250583145, 'P': -0.23104740440077845, 'S': 0.12569787094508614, 'R': -0.17496108972667135, 'T': 0.008370871877586795, 'W': -0.07321478848843309, 'V': 0.02255967076877008, 'Y': 0.03601146312295931}, 4: {'A': 0.14676951098519908, 'C': 0.008984777805746295, 'E': -0.19644140377358327, 'D': 0.1897919130749556, 'G': 0.13577483673116136, 'F': 0.04895399220080016, 'I': 0.13460803143218958, 'H': -0.021284821788172627, 'K': -0.32949589274844887, 'M': 0.15947509138344684, 'L': 0.18682811777904618, 'N': -0.05519722769205147, 'Q': -0.19221853577416212, 'P': -0.10474824373012424, 'S': 0.1196792190131309, 'R': -0.28504107820225355, 'T': 0.01807523046613372, 'W': -0.16108224580987077, 'V': -0.018416645790632794, 'Y': -0.06479810720334485}, 5: {'A': 0.23166225312259542, 'C': 0.011236919486698763, 'E': 0.16679261468817147, 'D': -0.02167416714357672, 'G': -0.12438226983268912, 'F': -0.0044095531997541335, 'I': -0.1031656419743817, 'H': 0.30097390290937576, 'K': 0.010457995804453743, 'M': -0.18443181422831692, 'L': 0.12137006560810265, 'N': 0.052469273948480374, 'Q': -0.23730923269407517, 'P': -0.1221351751822463, 'S': -0.036230300106786656, 'R': -0.1660058519206502, 'T': -0.05325342336015521, 'W': 0.15003847818564886, 'V': 0.07599117432103443, 'Y': 0.18074300095161233}, 6: {'A': -0.17753053068009028, 'C': 0.19931910111016013, 'E': 0.22704340650059657, 'D': -0.1689927372320863, 'G': 0.05848361021323065, 'F': 0.15878725954894723, 'I': 0.14667796947866943, 'H': 0.09529400570740078, 'K': -0.3307659594743624, 'M': -0.25832771766176865, 'L': 0.17267822574186065, 'N': -0.09288836819881052, 'Q': -0.19752285888100277, 'P': -0.03862309705201802, 'S': -0.17076156927633204, 'R': -0.13617753061760332, 'T': 0.12996005015102396, 'W': 0.04667543911501483, 'V': 0.06651283679379297, 'Y': 0.17116642312771296}, 7: {'A': -0.0736980516792725, 'C': -0.014026174889597169, 'E': -0.05094528097445851, 'D': -0.21029235985238978, 'G': -0.08117413327510974, 'F': 0.048441415093627975, 'I': 0.4500393951027163, 'H': -0.11295795811536642, 'K': 0.021174698257636234, 'M': -0.12636829433030738, 'L': 0.1480922749232907, 'N': -0.18971941646754, 'Q': -0.17335988062463334, 'P': 0.05210973274718894, 'S': 0.10483502207372639, 'R': -0.22202660790649542, 'T': -0.08322239896252853, 'W': 0.093014237944162, 'V': 0.14294552632182347, 'Y': 0.07336927188427979}, 8: {'A': -0.16430518068451083, 'C': -0.453485714645266, 'E': -0.4314475194111367, 'D': -0.3399081220102916, 'G': -0.40106393599554013, 'F': 0.12393378995778476, 'I': 0.24586487103529037, 'H': -0.3730447354803529, 'K': -0.4965796461686587, 'M': 0.08810949842847934, 'L': 0.6591246260176412, 'N': -0.3125312199397761, 'Q': -0.3053841587886124, 'P': 0.20513796921799254, 'S': -0.3356347261964649, 'R': -0.4465944744479048, 'T': -0.11124205503169173, 'W': -0.5118377135991584, 'V': 0.03700758030145539, 'Y': -0.49652029597326053}, -1: {'slope': 0.11232339687530213, 'intercept': -0.44037546518031584}}

4,863

0.707999

559

4,863

6.155635

0.386404

0.005231

0

0.723262

0.077113

4,863

1

4,863

0.043449

0

0.039885

0

1

0

false

0

null

0

1

0

1

0

null

0

5

a1d629eaf804d024018896233ad01b649cbaf5c6

113

py

Python

nablapps/meeting_records/__init__.py

Amund211/nablaweb

8105c34615d4b67637e982545fbc6489a131c1f3

[ "MIT" ]

17

2019-10-07T15:10:58.000Z

2022-01-21T14:18:07.000Z

nablapps/meeting_records/__init__.py

Amund211/nablaweb

8105c34615d4b67637e982545fbc6489a131c1f3

[ "MIT" ]

222

2019-10-07T15:04:51.000Z

2022-03-24T12:14:16.000Z

nablapps/meeting_records/__init__.py

Amund211/nablaweb

8105c34615d4b67637e982545fbc6489a131c1f3

[ "MIT" ]

7

2019-10-10T18:53:42.000Z

2021-10-18T02:13:09.000Z

""" Django app for meeting records """ default_app_config = "nablapps.meeting_records.apps.MeetingRecordsConfig"

22.6

73

0.80531

13

113

6.769231

0.769231

0.318182

0

0.088496

113

4

74

28.25

0.854369

0.265487

0

0.666667

0

1

0

false

0

1

0

null

1

0

1

0

1

null

0

5

a1e1a2c6280a34e4e1c7d9486eb61a8a107ccbb3

359

py

Python

beerpy/units/concentration.py

MrLeeh/beerpy

1bbec29a39b01a9d8e54c475de29c768dfd27597

[ "MIT" ]

null

beerpy/units/concentration.py

MrLeeh/beerpy

1bbec29a39b01a9d8e54c475de29c768dfd27597

[ "MIT" ]

null

beerpy/units/concentration.py

MrLeeh/beerpy

1bbec29a39b01a9d8e54c475de29c768dfd27597

[ "MIT" ]

null

""" Concentration unit """ GRAMS_PER_LITER = "g/l" _units = (GRAMS_PER_LITER) class Concentration: def __init__(self, value: float): self.value = value self._unit = GRAMS_PER_LITER def __repr__(self): return "Concentration: {}{}".format(self.value, self.unit) @property def unit(self): return self._unit

16.318182

66

0.632312

43

359

4.883721

0.418605

0.114286

0.185714

0.161905

0

0.245125

359

21

67

17.095238

0.774908

0.050139

0

0.066265

0

1

0.272727

false

0

0.181818

0.545455

0

null

0

1

0

null

0

1

0

1

0

5

b80abec632fb8f136abb57a8c476de0407c324cf

43

py

Python

heaphopper/__init__.py

angr/heaphopper

fa0efa8e71908bd05cd07a2ac0c73dbc5d445ae1

[ "BSD-2-Clause" ]

185

2018-08-05T03:03:47.000Z

2022-02-15T06:32:22.000Z

heaphopper/__init__.py

angr/heaphopper

fa0efa8e71908bd05cd07a2ac0c73dbc5d445ae1

[ "BSD-2-Clause" ]

11

2018-08-06T11:09:07.000Z

2020-07-14T05:26:23.000Z

heaphopper/__init__.py

angr/heaphopper

fa0efa8e71908bd05cd07a2ac0c73dbc5d445ae1

[ "BSD-2-Clause" ]

19

2018-08-05T03:03:50.000Z

2022-02-24T10:44:00.000Z

from .analysis import * from .gen import *

14.333333

23

0.72093

6

43

5.166667

0.666667

0

0.186047

43

2

24

21.5

0.885714

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

62a99fa452b78e9c4d32e9051b57cec1400b8925

66,040

py

Python

salt/transport/road/raet/transacting.py

Jiaion/salt

a7d2444a60f33942a293680a41e894eec98f5707

[ "Apache-2.0" ]

null

salt/transport/road/raet/transacting.py

Jiaion/salt

a7d2444a60f33942a293680a41e894eec98f5707

[ "Apache-2.0" ]

null

salt/transport/road/raet/transacting.py

Jiaion/salt

a7d2444a60f33942a293680a41e894eec98f5707

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- ''' stacking.py raet protocol stacking classes ''' # pylint: skip-file # pylint: disable=W0611 # Import python libs import socket import binascii import struct try: import simplejson as json except ImportError: import json # Import ioflo libs from ioflo.base.odicting import odict from ioflo.base import aiding from . import raeting from . import nacling from . import packeting from . import estating from ioflo.base.consoling import getConsole console = getConsole() class Transaction(object): ''' RAET protocol transaction class ''' Timeout = 5.0 # default timeout def __init__(self, stack=None, kind=None, timeout=None, reid=None, rmt=False, bcst=False, sid=None, tid=None, txData=None, txPacket=None, rxPacket=None): ''' Setup Transaction instance timeout of 0.0 means no timeout go forever ''' self.stack = stack self.kind = kind or raeting.PACKET_DEFAULTS['tk'] if timeout is None: timeout = self.Timeout self.timeout = timeout self.timer = aiding.StoreTimer(self.stack.store, duration=self.timeout) # local estate is the .stack.estate self.reid = reid # remote estate eid self.rmt = rmt self.bcst = bcst self.sid = sid self.tid = tid self.txData = txData or odict() # data used to prepare last txPacket self.txPacket = txPacket # last tx packet needed for retries self.rxPacket = rxPacket # last rx packet needed for index @property def index(self): ''' Property is transaction tuple (rf, le, re, si, ti, bf,) ''' le = self.stack.estate.eid if le == 0: #bootstapping onto channel use ha le = self.stack.estate.ha re = self.reid if re == 0: #bootstapping onto channel use ha re = self.stack.estates[self.reid].ha return ((self.rmt, le, re, self.sid, self.tid, self.bcst,)) def process(self): ''' Process time based handling of transaction like timeout or retries ''' pass def receive(self, packet): ''' Process received packet Subclasses should super call this ''' self.rxPacket = packet def transmit(self, packet): ''' Queue tx duple on stack transmit queue ''' try: self.stack.txUdp(packet.packed, self.reid) except raeting.StackError as ex: console.terse(ex + '\n') self.stack.incStat(self.statKey()) self.remove(packet.index) return self.txPacket = packet def add(self, index=None): ''' Add self to stack transactions ''' if not index: index = self.index self.stack.addTransaction(index, self) def remove(self, index=None): ''' Remove self from stack transactions ''' if not index: index = self.index self.stack.removeTransaction(index, transaction=self) def statKey(self): ''' Return the stat name key from class name ''' return ("{0}_transaction_failure".format(self.__class__.__name__.lower())) class Initiator(Transaction): ''' RAET protocol initiator transaction class ''' def __init__(self, **kwa): ''' Setup Transaction instance ''' kwa['rmt'] = False # force rmt to False super(Initiator, self).__init__(**kwa) def process(self): ''' Process time based handling of transaction like timeout or retries ''' if self.timeout > 0.0 and self.timer.expired: self.stack.removeTransaction(self.index, transaction=self) class Correspondent(Transaction): ''' RAET protocol correspondent transaction class ''' Requireds = ['sid', 'tid', 'rxPacket'] def __init__(self, **kwa): ''' Setup Transaction instance ''' kwa['rmt'] = True # force rmt to True missing = [] for arg in self.Requireds: if arg not in kwa: missing.append(arg) if missing: emsg = "Missing required keyword arguments: '{0}'".format(missing) raise TypeError(emsg) super(Correspondent, self).__init__(**kwa) class Staler(Initiator): ''' RAET protocol Staler initiator transaction class ''' def __init__(self, **kwa): ''' Setup Transaction instance ''' for key in ['kind', 'reid', 'sid', 'tid', 'rxPacket']: if key not in kwa: emsg = "Missing required keyword argumens: '{0}'".format(key) raise TypeError(emsg) super(Staler, self).__init__(**kwa) self.prep() def prep(self): ''' Prepare .txData for nack to stale ''' self.txData.update( sh=self.stack.estate.host, sp=self.stack.estate.port, dh=self.rxPacket.data['sh'], dp=self.rxPacket.data['sp'], se=self.stack.estate.eid, de=self.reid, tk=self.kind, cf=self.rmt, bf=self.bcst, si=self.sid, ti=self.tid, ck=raeting.coatKinds.nada, fk=raeting.footKinds.nada) def nack(self): ''' Send nack to stale packet from correspondent. This is used when a correspondent packet is received but no matching Initiator transaction is found. So create a dummy initiator and send a nack packet back. Do not add transaction so don't need to remove it. ''' ha = (self.rxPacket.data['sh'], self.rxPacket.data['sp']) emsg = "{0} Stale Transaction from {1} dropping ...".format(self.stack.name, ha ) console.terse(emsg + '\n') self.stack.incStat('stale_correspondent_attempt') if self.reid not in self.stack.estates: emsg = "Unknown correspondent estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('unknown_correspondent_eid') #return #maybe we should return and not respond at all in this case body = odict() packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.nack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") return self.stack.txes.append((packet.packed, ha)) console.terse("Nack stale correspondent at {0}\n".format(self.stack.store.stamp)) self.stack.incStat('stale_correspondent_nack') class Joiner(Initiator): ''' RAET protocol Joiner Initiator class Dual of Joinent ''' RedoTimeoutMin = 1.0 # initial timeout RedoTimeoutMax = 4.0 # max timeout def __init__(self, mha = None, redoTimeoutMin=None, redoTimeoutMax=None, **kwa): ''' Setup Transaction instance ''' kwa['kind'] = raeting.trnsKinds.join super(Joiner, self).__init__(**kwa) if mha is None: mha = ('127.0.0.1', raeting.RAET_PORT) self.redoTimeoutMax = redoTimeoutMax or self.RedoTimeoutMax self.redoTimeoutMin = redoTimeoutMin or self.RedoTimeoutMin self.redoTimer = aiding.StoreTimer(self.stack.store, duration=self.redoTimeoutMin) if self.reid is None: if not self.stack.estates: # no channel master so make one master = estating.RemoteEstate(eid=0, ha=mha) try: self.stack.addRemote(master) except raeting.StackError as ex: console.terse(ex + '\n') self.stack.incStat(self.statKey()) return self.reid = self.stack.estates.values()[0].eid # zeroth is channel master self.sid = 0 self.tid = self.stack.estates[self.reid].nextTid() self.prep() self.add(self.index) def receive(self, packet): """ Process received packet belonging to this transaction """ super(Joiner, self).receive(packet) # self.rxPacket = packet if packet.data['tk'] == raeting.trnsKinds.join: if packet.data['pk'] == raeting.pcktKinds.ack: #pending self.pend() #set timer for redo elif packet.data['pk'] == raeting.pcktKinds.response: self.accept() elif packet.data['pk'] == raeting.pcktKinds.nack: #rejected self.rejected() def process(self): ''' Perform time based processing of transaction ''' if self.timeout > 0.0 and self.timer.expired: if self.txPacket and self.txPacket.data['pk'] == raeting.pcktKinds.request: self.remove(self.txPacket.index) #index changes after accept else: self.remove(self.index) # in case never sent txPacket console.concise("Joiner timed out at {0}\n".format(self.stack.store.stamp)) return # need keep sending join until accepted or timed out if self.redoTimer.expired: duration = min( max(self.redoTimeoutMin, self.redoTimer.duration) * 2.0, self.redoTimeoutMin) self.redoTimer.restart(duration=duration) if (self.txPacket and self.txPacket.data['pk'] == raeting.pcktKinds.request): self.transmit(self.txPacket) #redo console.concise("Joiner Redo Join at {0}\n".format(self.stack.store.stamp)) def prep(self): ''' Prepare .txData ''' self.txData.update( sh=self.stack.estate.host, sp=self.stack.estate.port, dh=self.stack.estates[self.reid].host, dp=self.stack.estates[self.reid].port, se=self.stack.estate.eid, de=self.reid, tk=self.kind, cf=self.rmt, bf=self.bcst, si=self.sid, ti=self.tid, ck=raeting.coatKinds.nada, fk=raeting.footKinds.nada) def join(self): ''' Send join request ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat(self.statKey()) self.remove() return body = odict([('name', self.stack.estate.name), ('verhex', self.stack.estate.signer.verhex), ('pubhex', self.stack.estate.priver.pubhex)]) packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.request, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return self.transmit(packet) console.concise("Joiner Do Join at {0}\n".format(self.stack.store.stamp)) def pend(self): ''' Process ack to join packet ''' if not self.stack.parseInner(self.rxPacket): return pass def accept(self): ''' Perform acceptance in response to join response packet ''' if not self.stack.parseInner(self.rxPacket): return data = self.rxPacket.data body = self.rxPacket.body.data leid = body.get('leid') if not leid: emsg = "Missing local estate id in accept packet" #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_accept') self.remove(self.txPacket.index) return reid = body.get('reid') if not reid: emsg = "Missing remote estate id in accept packet" #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_accept') self.remove(self.txPacket.index) return name = body.get('name') if not name: emsg = "Missing remote name in accept packet" #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_accept') self.remove(self.txPacket.index) return verhex = body.get('verhex') if not verhex: emsg = "Missing remote verifier key in accept packet" #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_accept') self.remove(self.txPacket.index) return pubhex = body.get('pubhex') if not pubhex: emsg = "Missing remote crypt key in accept packet" #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_accept') self.remove(self.txPacket.index) return self.stack.estate.eid = leid self.stack.dumpLocal() remote = self.stack.estates[self.reid] if remote.eid != reid: #move remote estate to new index try: self.stack.moveRemote(old=remote.eid, new=reid) except raeting.StackError as ex: console.terse(ex + '\n') self.stack.incStat(self.statKey()) self.remove(self.txPacket.index) return if remote.name != name: # rename remote estate to new name try: self.stack.renameRemote(old=remote.name, new=name) except raeting.StackError as ex: console.terse(ex + '\n') self.stack.incStat(self.statKey()) self.remove(self.txPacket.index) return self.reid = reid # we are assuming for now that the joiner cannot talk peer to peer only # to main estate otherwise we need to ensure unique eid, name, and ha on road # check if remote keys of main estate are accepted here status = self.stack.safe.statusRemoteEstate(remote, verhex=verhex, pubhex=pubhex, main=False) if status == raeting.acceptances.rejected: self.nackAccept() else: remote.joined = True #accepted remote.nextSid() self.ackAccept() self.stack.dumpRemote(remote) def rejected(self): ''' Process nack to join packet ''' if not self.stack.parseInner(self.rxPacket): return self.remove(self.txPacket.index) console.terse("Joiner Rejected at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey()) def ackAccept(self): ''' Send ack to accept response ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove(self.txPacket.index) return body = odict() packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.ack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove(self.txPacket.index) return self.transmit(packet) self.remove(self.rxPacket.index) console.concise("Joiner Do Accept at {0}\n".format(self.stack.store.stamp)) self.stack.incStat("join_initiate_complete") def nackAccept(self): ''' Send nack to accept response ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove(self.txPacket.index) return body = odict() packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.nack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove(self.txPacket.index) return self.transmit(packet) self.remove(self.txPacket.index) console.terse("Joiner Do Reject at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey()) class Joinent(Correspondent): ''' RAET protocol Joinent transaction class, dual of Joiner ''' RedoTimeoutMin = 0.1 # initial timeout RedoTimeoutMax = 2.0 # max timeout def __init__(self, redoTimeoutMin=None, redoTimeoutMax=None, **kwa): ''' Setup Transaction instance ''' kwa['kind'] = raeting.trnsKinds.join super(Joinent, self).__init__(**kwa) self.redoTimeoutMax = redoTimeoutMax or self.RedoTimeoutMax self.redoTimeoutMin = redoTimeoutMin or self.RedoTimeoutMin self.redoTimer = aiding.StoreTimer(self.stack.store, duration=0.0) self.prep() # Since corresponding bootstrap transaction use packet.index not self.index self.add(self.rxPacket.index) def receive(self, packet): """ Process received packet belonging to this transaction """ super(Joinent, self).receive(packet) # self.rxPacket = packet if packet.data['tk'] == raeting.trnsKinds.join: if packet.data['pk'] == raeting.pcktKinds.ack: #accepted by joiner self.joined() elif packet.data['pk'] == raeting.pcktKinds.nack: #rejected self.rejected() def process(self): ''' Perform time based processing of transaction ''' if self.timeout > 0.0 and self.timer.expired: self.nackJoin() console.concise("Joinent timed out at {0}\n".format(self.stack.store.stamp)) return # need to perform the check for accepted status and then send accept if self.redoTimer.expired: duration = min( max(self.redoTimeoutMin, self.redoTimer.duration) * 2.0, self.redoTimeoutMax) self.redoTimer.restart(duration=duration) if (self.txPacket and self.txPacket.data['pk'] == raeting.pcktKinds.response): self.transmit(self.txPacket) #redo console.concise("Joinent Redo Accept at {0}\n".format(self.stack.store.stamp)) else: #check to see if status has changed to accept remote = self.stack.estates[self.reid] if remote: data = self.stack.safe.loadRemoteEstate(remote) if data: status = self.stack.safe.statusRemoteEstate(remote, data['verhex'], data['pubhex']) if status == raeting.acceptances.accepted: self.accept() def prep(self): ''' Prepare .txData ''' #since bootstrap transaction use the reversed seid and deid from packet self.txData.update( sh=self.stack.estate.host, sp=self.stack.estate.port, se=self.rxPacket.data['de'], de=self.rxPacket.data['se'], tk=self.kind, cf=self.rmt, bf=self.bcst, si=self.sid, ti=self.tid, ck=raeting.coatKinds.nada, fk=raeting.footKinds.nada,) def join(self): ''' Process join packet Respond based on acceptance status of remote estate. Rules for Colliding Estates Apply the rules to ensure no colliding estates on (host, port) If matching name estate found then return Rules: Only one estate with given eid is allowed on road Only one estate with given name is allowed on road. Only one estate with given ha on road is allowed on road. Are multiple estates with same keys but different name (ha) allowed? Current logic ignores same keys or not Since creating new estate assigns unique eid, we are looking for preexisting estates with any eid. Processing steps: I) Search remote estates for matching name A) Found remote 1) HA not match Search remotes for other matching HA but different name If found other delete Reuse found remote to be updated and joined B) Not found Search remotes for other matching HA If found delete for now Create new remote and update ''' if not self.stack.parseInner(self.rxPacket): return data = self.rxPacket.data body = self.rxPacket.body.data name = body.get('name') if not name: emsg = "Missing remote name in join packet" console.terse(emsg + '\n') self.stack.incStat('invalid_join') self.remove(self.rxPacket.index) return #raise raeting.TransactionError(emsg) verhex = body.get('verhex') if not verhex: emsg = "Missing remote verifier key in join packet" console.terse(emsg + '\n') self.stack.incStat('invalid_join') self.remove(self.rxPacket.index) return #raise raeting.TransactionError(emsg) pubhex = body.get('pubhex') if not pubhex: emsg = "Missing remote crypt key in join packet" console.terse(emsg + '\n') self.stack.incStat('invalid_join') self.remove(self.rxPacket.index) return #raise raeting.TransactionError(emsg) host = data['sh'] port = data['sp'] self.txData.update( dh=host, dp=port,) # responses use received host port remote = self.stack.fetchRemoteByName(name) if remote: if not (host == remote.host and port == remote.port): other = self.stack.fetchRemoteByHostPort(host, port) if other and other is not remote: #may need to terminate transactions try: self.stack.removeRemote(other.eid) except raeting.StackError as ex: console.terse(ex + '\n') self.stack.incStat(self.statKey()) self.remove(self.rxPacket.index) return remote.host = host remote.port = port remote.rsid = self.sid remote.rtid = self.tid status = self.stack.safe.statusRemoteEstate(remote, verhex=verhex, pubhex=pubhex) else: other = self.stack.fetchRemoteByHostPort(host, port) if other: #may need to terminate transactions try: self.stack.removeRemote(other.eid) except raeting.StackError as ex: console.terse(ex + '\n') self.stack.incStat(self.statKey()) self.remove(self.rxPacket.index) return remote = estating.RemoteEstate( stack=self.stack, name=name, host=host, port=port, acceptance=None, verkey=verhex, pubkey=pubhex, rsid=self.sid, rtid=self.tid, ) try: self.stack.addRemote(remote) #provisionally add .accepted is None except raeting.StackError as ex: console.terse(ex + '\n') self.stack.incStat(self.statKey()) self.remove(self.rxPacket.index) return status = self.stack.safe.statusRemoteEstate(remote, verhex=verhex, pubhex=pubhex) self.stack.dumpRemote(remote) self.reid = remote.eid # auto generated at instance creation above if status == None or status == raeting.acceptances.pending: self.ackJoin() elif status == raeting.acceptances.accepted: duration = min( max(self.redoTimeoutMin, self.redoTimer.duration) * 2.0, self.redoTimeoutMax) self.redoTimer.restart(duration=duration) self.accept() else: self.nackJoin() emsg = "Estate {0} eid {1} keys rejected\n".format( remote.name, remote.eid) console.terse(emsg) def ackJoin(self): ''' Send ack to join request ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove(self.rxPacket.index) return #since bootstrap transaction use updated self.reid #self.txData.update( dh=self.stack.estates[self.reid].host, #dp=self.stack.estates[self.reid].port,) body = odict() packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.ack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove(self.rxPacket.index) return self.transmit(packet) console.concise("Joinent Pending Accept at {0}\n".format(self.stack.store.stamp)) def accept(self): ''' Send accept response to join request ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove(self.rxPacket.index) return remote = self.stack.estates[self.reid] body = odict([ ('leid', self.reid), ('reid', self.stack.estate.eid), ('name', self.stack.estate.name), ('verhex', self.stack.estate.signer.verhex), ('pubhex', self.stack.estate.priver.pubhex)]) packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.response, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove(self.rxPacket.index) return self.transmit(packet) console.concise("Joinent Do Accept at {0}\n".format(self.stack.store.stamp)) def joined(self): ''' process ack to accept response ''' if not self.stack.parseInner(self.rxPacket): return remote = self.stack.estates[self.reid] remote.joined = True # accepted remote.nextSid() self.stack.dumpRemote(remote) self.remove(self.rxPacket.index) self.stack.incStat("join_correspond_complete") def rejected(self): ''' Process nack to accept response or stale ''' if not self.stack.parseInner(self.rxPacket): return remote = self.stack.estates[self.reid] # use presence to remove remote self.remove(self.rxPacket.index) console.terse("Joinent Rejected at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey()) def nackJoin(self): ''' Send nack to join request ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove(self.rxPacket.index) return body = odict() packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.nack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove(self.rxPacket.index) return self.transmit(packet) self.remove(self.rxPacket.index) console.terse("Joinent Reject at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey()) class Allower(Initiator): ''' RAET protocol Allower Initiator class Dual of Allowent CurveCP handshake ''' Timeout = 4.0 RedoTimeoutMin = 0.25 # initial timeout RedoTimeoutMax = 1.0 # max timeout def __init__(self, redoTimeoutMin=None, redoTimeoutMax=None, **kwa): ''' Setup instance ''' kwa['kind'] = raeting.trnsKinds.allow super(Allower, self).__init__(**kwa) self.oreo = None # cookie from correspondent needed until handshake completed self.redoTimeoutMax = redoTimeoutMax or self.RedoTimeoutMax self.redoTimeoutMin = redoTimeoutMin or self.RedoTimeoutMin self.redoTimer = aiding.StoreTimer(self.stack.store, duration=self.redoTimeoutMin) if self.reid is None: self.reid = self.stack.estates.values()[0].eid # zeroth is channel master remote = self.stack.estates[self.reid] if not remote.joined: emsg = "Must be joined first" console.terse(emsg + '\n') self.stack.incStat('unjoined_allow_attempt') return #raise raeting.TransactionError(emsg) remote.refresh() # refresh short term keys and .allowed self.sid = remote.sid self.tid = remote.nextTid() self.prep() # prepare .txData self.add(self.index) def receive(self, packet): """ Process received packet belonging to this transaction """ super(Allower, self).receive(packet) # self.rxPacket = packet if packet.data['tk'] == raeting.trnsKinds.allow: if packet.data['pk'] == raeting.pcktKinds.cookie: self.cookie() elif packet.data['pk'] == raeting.pcktKinds.ack: self.allow() elif packet.data['pk'] == raeting.pcktKinds.nack: # rejected self.rejected() def process(self): ''' Perform time based processing of transaction ''' if self.timeout > 0.0 and self.timer.expired: self.remove() console.concise("Allower timed out at {0}\n".format(self.stack.store.stamp)) return # need keep sending join until accepted or timed out if self.redoTimer.expired: duration = min( max(self.redoTimeoutMin, self.redoTimer.duration) * 2.0, self.redoTimeoutMin) self.redoTimer.restart(duration=duration) if self.txPacket: if self.txPacket.data['pk'] == raeting.pcktKinds.hello: self.transmit(self.txPacket) # redo console.concise("Allower Redo Hello at {0}\n".format(self.stack.store.stamp)) if self.txPacket.data['pk'] == raeting.pcktKinds.initiate: self.transmit(self.txPacket) # redo console.concise("Allower Redo Initiate at {0}\n".format(self.stack.store.stamp)) if self.txPacket.data['pk'] == raeting.pcktKinds.ack: self.transmit(self.txPacket) # redo console.concise("Allower Redo Ack Final at {0}\n".format(self.stack.store.stamp)) def prep(self): ''' Prepare .txData ''' remote = self.stack.estates[self.reid] self.txData.update( sh=self.stack.estate.host, sp=self.stack.estate.port, dh=remote.host, dp=remote.port, se=self.stack.estate.eid, de=self.reid, tk=self.kind, cf=self.rmt, bf=self.bcst, si=self.sid, ti=self.tid, ) def hello(self): ''' Send hello request ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove() return remote = self.stack.estates[self.reid] plain = binascii.hexlify("".rjust(32, '\x00')) cipher, nonce = remote.privee.encrypt(plain, remote.pubber.key) body = raeting.HELLO_PACKER.pack(plain, remote.privee.pubraw, cipher, nonce) packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.hello, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return self.transmit(packet) console.concise("Allower Do Hello at {0}\n".format(self.stack.store.stamp)) def cookie(self): ''' Process cookie packet ''' if not self.stack.parseInner(self.rxPacket): return data = self.rxPacket.data body = self.rxPacket.body.data if not isinstance(body, basestring): emsg = "Invalid format of cookie packet body" console.terse(emsg + '\n') self.stack.incStat('invalid_cookie') self.remove() return #raise raeting.TransactionError(emsg) if len(body) != raeting.COOKIE_PACKER.size: emsg = "Invalid length of cookie packet body" console.terse(emsg + '\n') self.stack.incStat('invalid_cookie') self.remove() return #raise raeting.TransactionError(emsg) cipher, nonce = raeting.COOKIE_PACKER.unpack(body) remote = self.stack.estates[self.reid] msg = remote.privee.decrypt(cipher, nonce, remote.pubber.key) if len(msg) != raeting.COOKIESTUFF_PACKER.size: emsg = "Invalid length of cookie stuff" console.terse(emsg + '\n') self.stack.incStat('invalid_cookie') self.remove() return #raise raeting.TransactionError(emsg) shortraw, seid, deid, oreo = raeting.COOKIESTUFF_PACKER.unpack(msg) if seid != remote.eid or deid != self.stack.estate.eid: emsg = "Invalid seid or deid fields in cookie stuff" console.terse(emsg + '\n') self.stack.incStat('invalid_cookie') self.remove() return #raeting.TransactionError(emsg) self.oreo = binascii.hexlify(oreo) remote.publee = nacling.Publican(key=shortraw) self.initiate() def initiate(self): ''' Send initiate request to cookie response to hello request ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove() return remote = self.stack.estates[self.reid] vcipher, vnonce = self.stack.estate.priver.encrypt(remote.privee.pubraw, remote.pubber.key) fqdn = remote.fqdn.ljust(128, ' ') stuff = raeting.INITIATESTUFF_PACKER.pack(self.stack.estate.priver.pubraw, vcipher, vnonce, fqdn) cipher, nonce = remote.privee.encrypt(stuff, remote.publee.key) oreo = binascii.unhexlify(self.oreo) body = raeting.INITIATE_PACKER.pack(remote.privee.pubraw, oreo, cipher, nonce) packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.initiate, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return self.transmit(packet) console.concise("Allower Do Initiate at {0}\n".format(self.stack.store.stamp)) def allow(self): ''' Process ackInitiate packet Perform allowment in response to ack to initiate packet ''' if not self.stack.parseInner(self.rxPacket): return self.stack.estates[self.reid].allowed = True self.ackFinal() #self.remove() def rejected(self): ''' Process nack packet terminate in response to nack ''' if not self.stack.parseInner(self.rxPacket): return self.remove() console.concise("Allower rejected at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey()) def ackFinal(self): ''' Send ack to ack Initiate to terminate transaction ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove() return body = "" packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.ack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return self.transmit(packet) self.remove() console.concise("Allower Ack Final at {0}\n".format(self.stack.store.stamp)) self.stack.incStat("allow_initiate_complete") class Allowent(Correspondent): ''' RAET protocol Allowent Correspondent class Dual of Allower CurveCP handshake ''' Timeout = 4.0 RedoTimeoutMin = 0.25 # initial timeout RedoTimeoutMax = 1.0 # max timeout def __init__(self, redoTimeoutMin=None, redoTimeoutMax=None, **kwa): ''' Setup instance ''' kwa['kind'] = raeting.trnsKinds.allow if 'reid' not in kwa: emsg = "Missing required keyword argumens: '{0}'".format('reid') raise TypeError(emsg) super(Allowent, self).__init__(**kwa) self.redoTimeoutMax = redoTimeoutMax or self.RedoTimeoutMax self.redoTimeoutMin = redoTimeoutMin or self.RedoTimeoutMin self.redoTimer = aiding.StoreTimer(self.stack.store, duration=self.redoTimeoutMin) remote = self.stack.estates[self.reid] if not remote.joined: emsg = "Must be joined first" console.terse(emsg + '\n') self.stack.incStat('unjoined_allow_attempt') return #raise raeting.TransactionError(emsg) #Current .sid was set by stack from rxPacket.data sid so it is the new rsid if not remote.validRsid(self.sid): emsg = "Stale sid '{0}' in packet".format(self.sid) console.terse(emsg + '\n') self.stack.incStat('stale_sid_allow_attempt') return #raise raeting.TransactionError(emsg) remote.rsid = self.sid #update last received rsid for estate remote.rtid = self.tid #update last received rtid for estate self.oreo = None #keep locally generated oreo around for redos remote.refresh() # refresh short term keys and .allowed self.prep() # prepare .txData self.add(self.index) def receive(self, packet): """ Process received packet belonging to this transaction """ super(Allowent, self).receive(packet) # self.rxPacket = packet if packet.data['tk'] == raeting.trnsKinds.allow: if packet.data['pk'] == raeting.pcktKinds.hello: self.hello() elif packet.data['pk'] == raeting.pcktKinds.initiate: self.initiate() elif packet.data['pk'] == raeting.pcktKinds.ack: self.final() elif packet.data['pk'] == raeting.pcktKinds.nack: # rejected self.rejected() def process(self): ''' Perform time based processing of transaction ''' if self.timeout > 0.0 and self.timer.expired: self.nack() console.concise("Allowent timed out at {0}\n".format(self.stack.store.stamp)) return # need to perform the check for accepted status and then send accept if self.redoTimer.expired: duration = min( max(self.redoTimeoutMin, self.redoTimer.duration) * 2.0, self.redoTimeoutMax) self.redoTimer.restart(duration=duration) if self.txPacket: if self.txPacket.data['pk'] == raeting.pcktKinds.cookie: self.transmit(self.txPacket) #redo console.concise("Allowent Redo Cookie at {0}\n".format(self.stack.store.stamp)) if self.txPacket.data['pk'] == raeting.pcktKinds.ack: self.transmit(self.txPacket) #redo console.concise("Allowent Redo Ack at {0}\n".format(self.stack.store.stamp)) def prep(self): ''' Prepare .txData ''' remote = self.stack.estates[self.reid] self.txData.update( sh=self.stack.estate.host, sp=self.stack.estate.port, dh=remote.host, dp=remote.port, se=self.stack.estate.eid, de=self.reid, tk=self.kind, cf=self.rmt, bf=self.bcst, si=self.sid, ti=self.tid, ) def hello(self): ''' Process hello packet ''' if not self.stack.parseInner(self.rxPacket): return data = self.rxPacket.data body = self.rxPacket.body.data if not isinstance(body, basestring): emsg = "Invalid format of hello packet body" console.terse(emsg + '\n') self.stack.incStat('invalid_hello') self.remove() return #raise raeting.TransactionError(emsg) if len(body) != raeting.HELLO_PACKER.size: emsg = "Invalid length of hello packet body" console.terse(emsg + '\n') self.stack.incStat('invalid_hello') self.remove() return #raise raeting.TransactionError(emsg) plain, shortraw, cipher, nonce = raeting.HELLO_PACKER.unpack(body) remote = self.stack.estates[self.reid] remote.publee = nacling.Publican(key=shortraw) msg = self.stack.estate.priver.decrypt(cipher, nonce, remote.publee.key) if msg != plain : emsg = "Invalid plain not match decrypted cipher" console.terse(emsg + '\n') self.stack.incStat('invalid_hello') self.remove() return #raise raeting.TransactionError(emsg) self.cookie() def cookie(self): ''' Send Cookie Packet ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove() return remote = self.stack.estates[self.reid] oreo = self.stack.estate.priver.nonce() self.oreo = binascii.hexlify(oreo) stuff = raeting.COOKIESTUFF_PACKER.pack(remote.privee.pubraw, self.stack.estate.eid, remote.eid, oreo) cipher, nonce = self.stack.estate.priver.encrypt(stuff, remote.publee.key) body = raeting.COOKIE_PACKER.pack(cipher, nonce) packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.cookie, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return self.transmit(packet) console.concise("Allowent Do Cookie at {0}\n".format(self.stack.store.stamp)) def initiate(self): ''' Process initiate packet ''' if not self.stack.parseInner(self.rxPacket): return data = self.rxPacket.data body = self.rxPacket.body.data if not isinstance(body, basestring): emsg = "Invalid format of initiate packet body" console.terse(emsg + '\n') self.stack.incStat('invalid_initiate') self.remove() return #raise raeting.TransactionError(emsg) if len(body) != raeting.INITIATE_PACKER.size: emsg = "Invalid length of initiate packet body" console.terse(emsg + '\n') self.stack.incStat('invalid_initiate') self.remove() return #raise raeting.TransactionError(emsg) shortraw, oreo, cipher, nonce = raeting.INITIATE_PACKER.unpack(body) remote = self.stack.estates[self.reid] if shortraw != remote.publee.keyraw: emsg = "Mismatch of short term public key in initiate packet" console.terse(emsg + '\n') self.stack.incStat('invalid_initiate') self.remove() return #raise raeting.TransactionError(emsg) if (binascii.hexlify(oreo) != self.oreo): emsg = "Stale or invalid cookie in initiate packet" console.terse(emsg + '\n') self.stack.incStat('invalid_initiate') self.remove() return #raise raeting.TransactionError(emsg) msg = remote.privee.decrypt(cipher, nonce, remote.publee.key) if len(msg) != raeting.INITIATESTUFF_PACKER.size: emsg = "Invalid length of initiate stuff" console.terse(emsg + '\n') self.stack.incStat('invalid_initiate') self.remove() return #raise raeting.TransactionError(emsg) pubraw, vcipher, vnonce, fqdn = raeting.INITIATESTUFF_PACKER.unpack(msg) if pubraw != remote.pubber.keyraw: emsg = "Mismatch of long term public key in initiate stuff" console.terse(emsg + '\n') self.stack.incStat('invalid_initiate') self.remove() return #raise raeting.TransactionError(emsg) fqdn = fqdn.rstrip(' ') if fqdn != self.stack.estate.fqdn: emsg = "Mismatch of fqdn in initiate stuff" console.terse(emsg + '\n') self.stack.incStat('invalid_initiate') self.remove() return #raise raeting.TransactionError(emsg) vouch = self.stack.estate.priver.decrypt(vcipher, vnonce, remote.pubber.key) if vouch != remote.publee.keyraw or vouch != shortraw: emsg = "Short term key vouch failed" console.terse(emsg + '\n') self.stack.incStat('invalid_initiate') self.remove() return #raise raeting.TransactionError(emsg) self.ackInitiate() def ackInitiate(self): ''' Send ack to initiate request ''' if self.reid not in self.stack.estates: msg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(msg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove() return body = "" packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.ack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return self.transmit(packet) console.concise("Allowent Do Ack at {0}\n".format(self.stack.store.stamp)) self.allow() def allow(self): ''' Perform allowment ''' self.stack.estates[self.reid].allowed = True def final(self): ''' Process ackFinal packet ''' if not self.stack.parseInner(self.rxPacket): return self.remove() console.concise("Allowent Do Final at {0}\n".format(self.stack.store.stamp)) self.stack.incStat("allow_correspond_complete") def rejected(self): ''' Process nack packet terminate in response to nack ''' if not self.stack.parseInner(self.rxPacket): return self.remove() console.concise("Allowent rejected at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey()) def nack(self): ''' Send nack to terminate allower transaction ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove() return body = odict() packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.nack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return self.transmit(packet) self.remove() console.concise("Allowent Reject at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey()) class Messenger(Initiator): ''' RAET protocol Messenger Initiator class Dual of Messengent Generic messages ''' Timeout = 10.0 RedoTimeoutMin = 1.0 # initial timeout RedoTimeoutMax = 3.0 # max timeout def __init__(self, redoTimeoutMin=None, redoTimeoutMax=None, **kwa): ''' Setup instance ''' kwa['kind'] = raeting.trnsKinds.message super(Messenger, self).__init__(**kwa) self.redoTimeoutMax = redoTimeoutMax or self.RedoTimeoutMax self.redoTimeoutMin = redoTimeoutMin or self.RedoTimeoutMin self.redoTimer = aiding.StoreTimer(self.stack.store, duration=self.redoTimeoutMin) if self.reid is None: self.reid = self.stack.estates.values()[0].eid # zeroth is channel master remote = self.stack.estates[self.reid] if not remote.allowed: emsg = "Must be allowed first" console.terse(emsg + '\n') self.stack.incStat('unallowed_message_attempt') return #raise raeting.TransactionError(emsg) self.sid = remote.sid self.tid = remote.nextTid() self.prep() # prepare .txData self.tray = packeting.TxTray(stack=self.stack) self.add(self.index) def receive(self, packet): """ Process received packet belonging to this transaction """ super(Messenger, self).receive(packet) if packet.data['tk'] == raeting.trnsKinds.message: if packet.data['pk'] == raeting.pcktKinds.ack: self.again() elif packet.data['pk'] == raeting.pcktKinds.nack: # rejected self.rejected() def process(self): ''' Perform time based processing of transaction ''' if self.timeout > 0.0 and self.timer.expired: self.remove() console.concise("Messenger timed out at {0}\n".format(self.stack.store.stamp)) return # need keep sending message until completed or timed out if self.redoTimer.expired: duration = min( max(self.redoTimeoutMin, self.redoTimer.duration) * 2.0, self.redoTimeoutMin) self.redoTimer.restart(duration=duration) if self.txPacket: if self.txPacket.data['pk'] == raeting.pcktKinds.message: self.transmit(self.txPacket) # redo console.concise("Messenger Redo Segment {0} at {1}\n".format( self.tray.current, self.stack.store.stamp)) def prep(self): ''' Prepare .txData ''' remote = self.stack.estates[self.reid] self.txData.update( sh=self.stack.estate.host, sp=self.stack.estate.port, dh=remote.host, dp=remote.port, se=self.stack.estate.eid, de=self.reid, tk=self.kind, cf=self.rmt, bf=self.bcst, si=self.sid, ti=self.tid,) def message(self, body=None): ''' Send message ''' if self.reid not in self.stack.estates: emsg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(emsg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove() return if not self.tray.packets: try: self.tray.pack(data=self.txData, body=body) except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return if self.tray.current >= len(self.tray.packets): return packet = self.tray.packets[self.tray.current] self.transmit(packet) self.stack.incStat("message_segment_tx") console.concise("Messenger Do Message Segment {0} at {1}\n".format( self.tray.current, self.stack.store.stamp)) self.tray.current += 1 def again(self): ''' Process ack packet ''' if self.tray.current >= len(self.tray.packets): self.complete() else: self.message() def complete(self): ''' Complete transaction and remove ''' self.remove() console.concise("Messenger Done at {0}\n".format(self.stack.store.stamp)) self.stack.incStat("message_initiate_complete") def rejected(self): ''' Process nack packet terminate in response to nack ''' if not self.stack.parseInner(self.rxPacket): return self.remove() console.concise("Messenger rejected at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey()) class Messengent(Correspondent): ''' RAET protocol Messengent Correspondent class Dual of Messenger Generic Messages ''' Timeout = 10.0 RedoTimeoutMin = 1.0 # initial timeout RedoTimeoutMax = 3.0 # max timeout def __init__(self, redoTimeoutMin=None, redoTimeoutMax=None, **kwa): ''' Setup instance ''' kwa['kind'] = raeting.trnsKinds.message if 'reid' not in kwa: emsg = "Missing required keyword argumens: '{0}'".format('reid') raise TypeError(emsg) super(Messengent, self).__init__(**kwa) self.redoTimeoutMax = redoTimeoutMax or self.RedoTimeoutMax self.redoTimeoutMin = redoTimeoutMin or self.RedoTimeoutMin self.redoTimer = aiding.StoreTimer(self.stack.store, duration=self.redoTimeoutMin) remote = self.stack.estates[self.reid] if not remote.allowed: emsg = "Must be allowed first" console.terse(emsg + '\n') self.stack.incStat('unallowed_message_attempt') return #raise raeting.TransactionError(emsg) #Current .sid was set by stack from rxPacket.data sid so it is the new rsid if not remote.validRsid(self.sid): emsg = "Stale sid '{0}' in packet".format(self.sid) console.terse(emsg + '\n') self.stack.incStat('stale_sid_message_attempt') return #raise raeting.TransactionError(emsg) remote.rsid = self.sid #update last received rsid for estate remote.rtid = self.tid #update last received rtid for estate self.prep() # prepare .txData self.tray = packeting.RxTray(stack=self.stack) self.add(self.index) def receive(self, packet): """ Process received packet belonging to this transaction """ super(Messengent, self).receive(packet) # resent message if packet.data['tk'] == raeting.trnsKinds.message: if packet.data['pk'] == raeting.pcktKinds.message: self.message() elif packet.data['pk'] == raeting.pcktKinds.nack: # rejected self.rejected() def process(self): ''' Perform time based processing of transaction ''' if self.timeout > 0.0 and self.timer.expired: self.nack() console.concise("Messengent timed out at {0}\n".format(self.stack.store.stamp)) return # need to include current segment in ack or resend #if self.redoTimer.expired: #duration = min( #max(self.redoTimeoutMin, #self.redoTimer.duration) * 2.0, #self.redoTimeoutMax) #self.redoTimer.restart(duration=duration) #if self.txPacket: #if self.txPacket.data['pk'] == raeting.pcktKinds.ack: #self.transmit(self.txPacket) #redo #console.concise("Messengent Redo Ack at {0}\n".format(self.stack.store.stamp)) def prep(self): ''' Prepare .txData ''' remote = self.stack.estates[self.reid] self.txData.update( sh=self.stack.estate.host, sp=self.stack.estate.port, dh=remote.host, dp=remote.port, se=self.stack.estate.eid, de=self.reid, tk=self.kind, cf=self.rmt, bf=self.bcst, si=self.sid, ti=self.tid,) def message(self): ''' Process message packet ''' try: body = self.tray.parse(self.rxPacket) except raeting.PacketError as ex: console.terse(ex + '\n') self.incStat('parsing_message_error') self.remove() return self.ackMessage() if self.tray.complete: console.verbose("{0} received message body\n{1}\n".format( self.stack.name, body)) self.stack.rxMsgs.append(body) self.complete() def ackMessage(self): ''' Send ack to message ''' if self.reid not in self.stack.estates: msg = "Invalid remote destination estate id '{0}'".format(self.reid) #raise raeting.TransactionError(msg) console.terse(emsg + '\n') self.stack.incStat('invalid_remote_eid') self.remove() return body = odict() packet = packeting.TxPacket(stack=self.stack, kind=raeting.pcktKinds.ack, embody=body, data=self.txData) try: packet.pack() except raeting.PacketError as ex: console.terse(ex + '\n') self.stack.incStat("packing_error") self.remove() return self.transmit(packet) self.stack.incStat("message_segment_rx") console.concise("Messengent Do Ack Segment at {0}\n".format( self.stack.store.stamp)) def complete(self): ''' Complete transaction and remove ''' self.remove() console.concise("Messengent Complete at {0}\n".format(self.stack.store.stamp)) self.stack.incStat("messagent_correspond_complete") def rejected(self): ''' Process nack packet terminate in response to nack ''' if not self.stack.parseInner(self.rxPacket): return self.remove() console.concise("Messengent rejected at {0}\n".format(self.stack.store.stamp)) self.stack.incStat(self.statKey())

36.166484

101

0.53569

6,812

66,040

5.163241

0.068262

0.070624

0.038667

0.032384

0.760662

0.739224

0.722706

0.701496

0.684152

0.660923

0

0.003953

0.364173

66,040

1,825

102

36.186301

0.833675

0.136024

0

0.727569

0

0.083186

0.007479

0

1

0.058728

false

0.001631

0.010604

0

0.165579

0

null

0

1

0

1

0

1

0

null

0

5

62d4cd45674461744b21a8a5ec5220501c5b99c3

42

py

Python

src/strava_offline/__main__.py

liskin/strava-offline

f572a4658fba98d91cde995edb8241509fe1a9f3

[ "MIT" ]

24

2020-09-28T19:37:49.000Z

2022-02-28T05:35:17.000Z

src/strava_offline/__main__.py

liskin/strava-offline

f572a4658fba98d91cde995edb8241509fe1a9f3

[ "MIT" ]

1

2020-09-28T13:04:46.000Z

2020-09-28T13:04:54.000Z

src/strava_offline/__main__.py

liskin/strava-offline

f572a4658fba98d91cde995edb8241509fe1a9f3

[ "MIT" ]

2

2020-09-29T09:41:12.000Z

2021-04-22T02:27:44.000Z

from strava_offline.cli import cli cli()

10.5

34

0.785714

7

42

4.571429

0.714286

0

0.142857

42

3

35

14

0.888889

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c50bb6dc7392aa08bc4c6cf2be07c70e0d80403f

179

py

Python

natml/__init__.py

natsuite/NatML-Py

42c86bb64b5550a329860230ee54ef02ff12e03c

[ "Apache-2.0" ]

2

2022-01-27T05:29:34.000Z

2022-01-27T20:20:01.000Z

natml/__init__.py

natmlx/NatML-Py

42c86bb64b5550a329860230ee54ef02ff12e03c

[ "Apache-2.0" ]

1

2021-11-06T14:39:59.000Z

2021-11-06T17:38:00.000Z

natml/__init__.py

natmlx/NatML-Py

42c86bb64b5550a329860230ee54ef02ff12e03c

[ "Apache-2.0" ]

null

19.888889

37

0.765363

22

179

6.045455

0.681818

0

0.027027

0.173184

179

9

38

19.888889

0.871622

0.22905

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c51965d17f0a01348cbe02c4d40f4d7b3b7db07e

124

py

Python

src/petronia/defimpl/extensions/caches/__init__.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

[ "MIT" ]

19

2017-06-21T10:28:24.000Z

2021-12-31T11:49:28.000Z

src/petronia/defimpl/extensions/caches/__init__.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

[ "MIT" ]

10

2016-11-11T18:57:57.000Z

2021-02-01T15:33:43.000Z

src/petronia/defimpl/extensions/caches/__init__.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

[ "MIT" ]

3

2017-09-17T03:29:35.000Z

2019-06-03T10:43:08.000Z

""" Default cache implementations. """ from ..defs import ExtensionStorageCache from .file import DirectoryExtensionCache

15.5

41

0.798387

11

124

9

0.818182

0

0.120968

124

7

42

17.714286

0.908257

0.241935

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c52270d8092075f8a93034c15f8a420545521bad

118

py

Python

django/django/forms/templates/django/forms/widgets/input.html.py

roshanba/mangal

f7b428811dc07214009cc33f0beb665ead402038

[ "bzip2-1.0.6", "MIT" ]

1

2021-05-16T03:20:23.000Z

django/django/forms/templates/django/forms/widgets/input.html.py

roshanba/mangal

f7b428811dc07214009cc33f0beb665ead402038

[ "bzip2-1.0.6", "MIT" ]

4

2021-03-30T14:06:09.000Z

2021-09-22T19:26:31.000Z

venv/lib/python3.8/site-packages/django/forms/templates/django/forms/widgets/input.html.py

Solurix/Flashcards-Django

03c863f6722936093927785a2b20b6b668bb743d

[ "MIT" ]

null

XXXXXX XXXXXXX XXXXXXXBB BBBBBBBBBBBB BB BBBB XXXXXXXFFFFFFFFFFFFFFFFXBBBBBBBBBBBB BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBX

59

117

0.932203

8

118

13.75

1

0

0.067797

118

1

118

1

0

null

0

null

0

1

0

1

null

0

1

0

1

0

null

0

1

0

5

c52660a541a40a843e2f530bc7ae1be34cd3cf86

76

py

Python

src/mud/manager/authentication/__init__.py

Martakan/YUMS

57c8c02eac70a62233f9a48d78becb1a25bed64e

[ "MIT" ]

null

src/mud/manager/authentication/__init__.py

Martakan/YUMS

57c8c02eac70a62233f9a48d78becb1a25bed64e

[ "MIT" ]

null

src/mud/manager/authentication/__init__.py

Martakan/YUMS

57c8c02eac70a62233f9a48d78becb1a25bed64e

[ "MIT" ]

null

from .authentication import AuthenticationManager # only give access to this

76

0.855263

9

76

7.222222

1

0

0.118421

76

1

76

0.970149

0.315789

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c546df2d857630395cc540d1ed92191aee37e012

38

py

Python

python/testData/resolve/pyToJava/Simple.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/resolve/pyToJava/Simple.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/resolve/pyToJava/Simple.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from java.util import ArrayL<ref>ist

12.666667

36

0.789474

7

38

4.285714

1

0

0.131579

38

2

37

19

0.909091

0

null

0

1

null

0

1

0

null

0

1

0

null

0

1

0

1

0

5

c54fa781d24407e933230d43b1bc5188ac6ac896

10,980

py

Python

experiments/01_benchmark/plot_individual.py

fsschneider/cockpit-experiments

a9eaf3dc5da5a58356ac0eef25a11235bf0891c4

[ "MIT" ]

7

2021-11-02T11:23:49.000Z

2022-02-16T13:25:47.000Z

experiments/01_benchmark/plot_individual.py

fsschneider/cockpit-experiments

a9eaf3dc5da5a58356ac0eef25a11235bf0891c4

[ "MIT" ]

null

experiments/01_benchmark/plot_individual.py

fsschneider/cockpit-experiments

a9eaf3dc5da5a58356ac0eef25a11235bf0891c4

[ "MIT" ]

2

2021-11-02T11:23:54.000Z

2022-02-02T15:56:03.000Z

"""Benchmark Bar Plot of the Overhead of Individual Instruments.""" import copy import os import sys import matplotlib.pyplot as plt import numpy as np import run_individual import seaborn as sns from benchmark_utils import _fix_dev_naming, _fix_tp_naming, _quantity_naming, read_data sys.path.append(os.getcwd()) from experiments.utils.plotting import _get_plot_size, _set_plotting_params # noqa HERE = os.path.abspath(__file__) HEREDIR = os.path.dirname(HERE) SAVEDIR = os.path.join(HEREDIR, "output/fig_individual/") os.makedirs(SAVEDIR, exist_ok=True) PLOT_FRACTION = 0.6 PLOT_HEIGHT = 0.4 APP_PLOT_FRACTION = 0.65 APP_PLOT_FRACTION_EXP = 0.34 APP_PLOT_HEIGHT = 0.13 def plot_data(df, show=True, save=True, title=False, appendix=False): """Create a bar plot from the benchmarking data. The bar plot shows the relative run time compared to an empty cockpit for individual instruments. The run time is averaged over multiple seeds. Args: df (pandas.DataFrame): DataFrame holding the benchmark data. show (bool, optional): Whether to show the plot. Defaults to True. save (bool, optional): Whether to save the plot. Defaults to True. title (bool, optional): Whether to show a title. Defaults to False. appendix (bool, optional): Whether the plot will be used in the appendix. Defaults to False. """ fraction = APP_PLOT_FRACTION if appendix else PLOT_FRACTION fig, ax = plt.subplots( figsize=_get_plot_size( textwidth="neurips", fraction=fraction, height_ratio=PLOT_HEIGHT ) ) # Verify that the data is from a single test problem and use it as a title testproblem_set = df.testproblem.unique() assert len(testproblem_set) == 1 tp_name = str(testproblem_set[0]) tp_name_fixed = _fix_tp_naming(tp_name) device_set = df.device.unique() assert len(device_set) == 1 dev_name = str(device_set[0]) dev_name_fixed = _fix_dev_naming(dev_name) ax = plot_data_ax(ax, df) if title: ax.set_title( f"Computational Overhead for {tp_name_fixed} ({dev_name_fixed})", fontweight="bold", ) if save: savename = "benchmark_" + tp_name + "_" + dev_name savename += "_app" if appendix else "" savename += ".pdf" savepath = os.path.join(SAVEDIR, savename) plt.savefig(savepath, bbox_inches="tight") if show: plt.show() def plot_data_ax(ax, df): """Plot the barplot into a given axis. Args: ax (plt.ax): Axis to plot into. df (pandas.DataFrame): DataFrame holding the benchmark data. Returns: [plt.ax]: Axis to plot into. """ # Smaller font size for quantities plt.rcParams.update({"xtick.labelsize": 6}) width_capsize = 0.25 width_errorbars = 0.75 ci = "sd" hline_color = "gray" hline_style = ":" color_palette = "husl" # "rocket_r", "tab10" "Set2" drop = [ # Remove cockpit_configurations "full", "business", "economy", "HessMaxEV", "GradHist2d", ] for d in drop: df.drop(df[(df.quantities == d)].index, inplace=True) # Compute mean time for basline mean_baseline = df.loc[df["quantities"] == "baseline"].mean(axis=0).time_per_step df["relative_overhead"] = df["time_per_step"].div(mean_baseline) # Order from smallest to largest grp_order = df.groupby("quantities").time_per_step.agg("mean").sort_values().index # but put "baseline" always in front: idx_baseline = np.where(grp_order._index_data == "baseline")[0][0] order_list = list(grp_order._index_data) order_list.insert(0, order_list.pop(idx_baseline)) grp_order._index_data = order_list grp_order._data = order_list sns.barplot( x="quantities", y="relative_overhead", data=df, order=grp_order, ax=ax, capsize=width_capsize, errwidth=width_errorbars, ci=ci, estimator=np.mean, palette=color_palette, ) # Line at 1 ax.axhline( y=1, color=hline_color, linestyle=hline_style, ) ax.set_xlabel("") ax.set_ylabel("Run Time Overhead") ax.set_xticklabels(_quantity_naming(x.get_text()) for x in ax.get_xticklabels()) plt.tight_layout() # Fix to make the bar plot for the paper a bit more appealing ylims = list(ax.get_ylim()) ylims[1] = max(3.0, ylims[1]) ax.set_ylim(ylims) return ax def plot_expensive_data(df, show=True, save=True, title=False, appendix=False): """Create a bar plot from the expensive instruments. The bar plot shows the relative run time compared to an empty cockpit for individual instruments. The run time is averaged over multiple seeds. Args: df (pandas.DataFrame): DataFrame holding the benchmark data. show (bool, optional): Whether to show the plot. Defaults to True. save (bool, optional): Whether to save the plot. Defaults to True. title (bool, optional): Whether to show a title. Defaults to False. appendix (bool, optional): Whether the plot will be used in the appendix. Defaults to False. """ fig, ax = plt.subplots( figsize=_get_plot_size( textwidth="neurips", fraction=APP_PLOT_FRACTION_EXP, height_ratio=PLOT_HEIGHT * APP_PLOT_FRACTION / APP_PLOT_FRACTION_EXP, ) ) # Verify that the data is from a single test problem and use it as a title testproblem_set = df.testproblem.unique() assert len(testproblem_set) == 1 tp_name = str(testproblem_set[0]) tp_name_fixed = _fix_tp_naming(tp_name) device_set = df.device.unique() assert len(device_set) == 1 dev_name = str(device_set[0]) dev_name_fixed = _fix_dev_naming(dev_name) ax = plot_expensive_data_ax(ax, df) if title: ax.set_title( f"Computational Overhead for {tp_name_fixed} ({dev_name_fixed})", fontweight="bold", ) if save: savename = "benchmark_expensive_" + tp_name + "_" + dev_name savename += "_app" if appendix else "" savename += ".pdf" savepath = os.path.join(SAVEDIR, savename) plt.savefig(savepath, bbox_inches="tight") if show: plt.show() def plot_expensive_data_ax(ax, df): """Plot the barplot for the expensive quantities into a given axis. Args: ax (plt.ax): Axis to plot into. df (pandas.DataFrame): DataFrame holding the benchmark data. Returns: [plt.ax]: Axis to plot into. """ # Plotting Params # _set_plotting_params() # Smaller font size for quantities plt.rcParams.update({"xtick.labelsize": 6}) width_capsize = 0.25 width_errorbars = 0.75 ci = "sd" hline_color = "gray" hline_style = ":" color_palette = "husl" # "rocket_r", "tab10" "Set2" keep = [ "baseline", "HessMaxEV", "GradHist2d", ] drop = [c for c in set(df.quantities) if c not in keep] for d in drop: df.drop(df[(df.quantities == d)].index, inplace=True) # Compute mean time for basline mean_baseline = df.loc[df["quantities"] == "baseline"].mean(axis=0).time_per_step df["relative_overhead"] = df["time_per_step"].div(mean_baseline) # Order from smallest to largest grp_order = df.groupby("quantities").time_per_step.agg("mean").sort_values().index # but put "baseline" always in front: idx_baseline = np.where(grp_order._index_data == "baseline")[0][0] order_list = list(grp_order._index_data) order_list.insert(0, order_list.pop(idx_baseline)) grp_order._index_data = order_list grp_order._data = order_list sns.barplot( x="quantities", y="relative_overhead", data=df, order=grp_order, ax=ax, capsize=width_capsize, errwidth=width_errorbars, ci=ci, estimator=np.mean, palette=color_palette, ) # Line at 1 ax.axhline( y=1, color=hline_color, linestyle=hline_style, ) ax.set_xlabel("") ax.set_ylabel("") ax.set_xticklabels(_quantity_naming(x.get_text()) for x in ax.get_xticklabels()) plt.tight_layout() # Fix to make the bar plot for the paper a bit more appealing ylims = list(ax.get_ylim()) ylims[1] = max(3.0, ylims[1]) ax.set_ylim(ylims) return ax def plot_combined_app(df, show=True, save=True): """Plot both the regular and the expensive data into a single figure. Args: df (pandas.DataFrame): DataFrame holding the benchmark data. show (bool, optional): Whether to show the plot. Defaults to True. save (bool, optional): Whether to save the plot. Defaults to True. """ # Plotting Params # _set_plotting_params() fig, ax = plt.subplots( figsize=_get_plot_size( textwidth="neurips", fraction=1.0, height_ratio=APP_PLOT_HEIGHT, subplots=(2, 1), ), ncols=2, gridspec_kw={"width_ratios": [APP_PLOT_FRACTION, APP_PLOT_FRACTION_EXP]}, ) fig.tight_layout() # Verify that the data is from a single test problem and use it as a title testproblem_set = df.testproblem.unique() assert len(testproblem_set) == 1 tp_name = str(testproblem_set[0]) device_set = df.device.unique() assert len(device_set) == 1 dev_name = str(device_set[0]) ax[0] = plot_data_ax(ax[0], copy.deepcopy(df)) ax[1] = plot_expensive_data_ax(ax[1], copy.deepcopy(df)) if save: savename = "benchmark_combined_" + tp_name + "_" + dev_name savename += ".pdf" savepath = os.path.join(SAVEDIR, savename) plt.savefig(savepath, bbox_inches="tight") if show: plt.show() if __name__ == "__main__": # Plotting Params # _set_plotting_params() PLOT_APPENDIX = True # # Main Plot # MAIN_PROBLEM = ("cifar10_3c3d", "cuda") # MAIN_PROBLEM_FILE = run_individual.get_savefile(*MAIN_PROBLEM) # df, testproblem_set = read_data(MAIN_PROBLEM_FILE) # plot_data(copy.deepcopy(df[MAIN_PROBLEM[0]]), show=True, save=False) # Appendix Plots if PLOT_APPENDIX: APPENDIX_RUNS = [ # GPU ("mnist_logreg", "cuda"), ("mnist_mlp", "cuda"), ("cifar10_3c3d", "cuda"), ("fmnist_2c2d", "cuda"), # CPU ("mnist_logreg", "cpu"), ("mnist_mlp", "cpu"), ("cifar10_3c3d", "cpu"), ("fmnist_2c2d", "cpu"), ] for (testproblem, device) in APPENDIX_RUNS: filepath = run_individual.get_savefile(testproblem, device) df, testproblem_set = read_data(filepath) for tp in testproblem_set: plot_combined_app(copy.deepcopy(df[tp]), show=False)

30.247934

88

0.637614

1,478

10,980

4.521651

0.170501

0.025138

0.02843

0.025138

0.767919

0.736346

0.733653

0.716594

0

0.011354

0.254007

10,980

362

89

30.331492

0.804542

0.266849

0

0.635556

0

0.092429

0.002809

0

0.026667

1

0.022222

false

0

0.04

0

0.071111

0

null

0

1

0

null

0

5

c562201de3d11a2f557ca4acd44eb36b3001c5c9

98

py

Python

src/tests/test_app/admin.py

RamezIssac/simple-review

5de5036001ea8416e51ec74f7fc3f994bd57114a

[ "MIT" ]

null

src/tests/test_app/admin.py

RamezIssac/simple-review

5de5036001ea8416e51ec74f7fc3f994bd57114a

[ "MIT" ]

null

src/tests/test_app/admin.py

RamezIssac/simple-review

5de5036001ea8416e51ec74f7fc3f994bd57114a

[ "MIT" ]

null

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

24.5

32

0.846939

13

98

6.384615

0.692308

0

0.091837

98

4

33

24.5

0.932584

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3d6aa36c0e0045e2ae4b66123b938bed5c223510

4,943

py

Python

pymatflow/elk/base/time_dependent.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

6

2020-03-06T16:13:08.000Z

2022-03-09T07:53:34.000Z

pymatflow/elk/base/time_dependent.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

1

2021-10-02T02:23:08.000Z

2021-11-08T13:29:37.000Z

pymatflow/elk/base/time_dependent.py

DeqiTang/pymatflow

bd8776feb40ecef0e6704ee898d9f42ded3b0186

[ "MIT" ]

1

2021-07-10T16:28:14.000Z

class absorbing_boundaries: """ """ def __init__(self): self.params = {} def to_string(self): out = "" for item in self.params: if self.params[item] == None: continue out += "%s = %s\n" % (item, self.params[item]) out += "\n" return out def set_params(self, params): """ """ for item in params: if len(item.split("/")) == 3: self.params[item.split("/")[-1]] = params[item] continue class photoelectronspectrum: """ """ def __init__(self): self.params = {} def to_string(self): out = "" for item in self.params: if self.params[item] == None: continue out += "%s = %s\n" % (item, self.params[item]) out += "\n" return out def set_params(self, params): """ """ for item in params: if len(item.split("/")) == 3: self.params[item.split("/")[-1]] = params[item] continue class propagation: """ """ def __init__(self): self.params = {} def to_string(self): out = "" for item in self.params: if self.params[item] == None: continue out += "%s = %s\n" % (item, self.params[item]) out += "\n" return out def set_params(self, params): """ """ for item in params: if len(item.split("/")) == 3: self.params[item.split("/")[-1]] = params[item] continue class response: """ """ def __init__(self): self.params = {} def to_string(self): out = "" for item in self.params: if self.params[item] == None: continue out += "%s = %s\n" % (item, self.params[item]) out += "\n" return out def set_params(self, params): """ """ for item in params: if len(item.split("/")) == 3: self.params[item.split("/")[-1]] = params[item] continue class td_output: """ """ def __init__(self): self.params = {} def to_string(self): out = "" for item in self.params: if self.params[item] == None: continue out += "%s = %s\n" % (item, self.params[item]) out += "\n" return out def set_params(self, params): """ """ for item in params: if len(item.split("/")) == 3: self.params[item.split("/")[-1]] = params[item] continue class time_dependent: """ """ def __init__(self): self.params = {} self.absorbing_boundaries = absorbing_boundaries() self.photoelectronspectrum = photoelectronspectrum() self.propagation = propagation() self.response = response() self.td_output = td_output() def to_string(self): out = "" for item in self.params: if self.params[item] == None: continue out += "%s = %s\n" % (item, self.params[item]) out += "\n" out += self.absorbing_boundaries.to_string() out += self.photoelectronspectrum.to_string() out += self.propagation.to_string() out += self.response.to_string() out += self.td_output.to_string() return out def set_params(self, params): """ """ for item in params: if len(item.split("/")) == 2: self.params[item.split("/")[-1]] = params[item] continue if item.split("/")[1] == "Absorbing Boundaries": self.absorbing_boundaries.set_params({item: params[item]}) elif item.split("/")[1] == "PhotoElectronSpectrum": self.photoelectronspectrum.set_params({item: params[item]}) elif item.split("/")[1] == "Propagation": self.propagation.set_params({item: params[item]}) elif item.split("/")[1] == "Response": self.response.set_params({item: params[item]}) elif item.split("/")[1] == "TD Output": self.td_output.set_params({item: params[item]}) else: pass

30.325153

76

0.422011

457

4,943

4.439825

0.076586

0.177427

0.124199

0.044357

0.725973

0.704288

0.685559

0.612617

0

0.006166

0.442242

4,943

163

77

30.325153

0.729779

0

0.754237

0

0.032865

0.004541

0

1

0.152542

false

0.008475

0

0.254237

0

null

0

1

0

1

0

1

0

null

0

5

3dc6d9f120e9c13528d956fba78c83eea2e0ee72

36

py

Python

chest/__main__.py

quantumsheep/chest

7b45cd353f0a3d907f6e9ccbc19732fb0b068f9e

[ "MIT" ]

null

chest/__main__.py

quantumsheep/chest

7b45cd353f0a3d907f6e9ccbc19732fb0b068f9e

[ "MIT" ]

null

chest/__main__.py

quantumsheep/chest

7b45cd353f0a3d907f6e9ccbc19732fb0b068f9e

[ "MIT" ]

null

from .app import Chest Chest.run()

9

22

0.722222

6

36

4.333333

0.833333

0

0.166667

36

3

23

12

0.866667

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3dcbe12b695ea5fd7e098c1b07cadde4ce1cc8ce

4,712

py

Python

tests/test_user_endpoints.py

coosoti/Osoti-Small

ccd147768aeae234eb45bf0a78257aafc3a8a16f

[ "MIT" ]

null

tests/test_user_endpoints.py

coosoti/Osoti-Small

ccd147768aeae234eb45bf0a78257aafc3a8a16f

[ "MIT" ]

2

2018-04-26T17:14:47.000Z

2018-04-30T12:04:14.000Z

tests/test_user_endpoints.py

coosoti/Osoti-Small

ccd147768aeae234eb45bf0a78257aafc3a8a16f

[ "MIT" ]

null

import unittest import json from api import db from api.models.models import User from tests.main import MainTestCase class TestUserEndpoint(MainTestCase): def test_registration(self): """ Test for user signup""" with self.client: response = self.client.post('api/v2/auth/register', data=json.dumps(dict( username='kulundeng', email='vicharles@gmail.com', designation='caterer', password='password1', confirm_password='password1' )), content_type='application/json' ) data = json.loads(response.data.decode()) self.assertTrue(data['message'] == 'You are successfully registered.') self.assertEqual(response.status_code, 201) def test_registered_user_login(self): """ Test for login of registered-user login """ with self.client: response = self.client.post( 'api/v2/auth/register', data=json.dumps(dict( username='victorvenosa', email='osoticharles@gmail.com', designation='customer', password='kulundeng', confirm_password='kulundeng' )), content_type='application/json', ) data = json.loads(response.data.decode()) self.assertTrue( data['message'] == 'You are successfully registered.' ) self.assertEqual(response.status_code, 201) response = self.client.post( 'api/v2/auth/login', data=json.dumps(dict( email='osoticharles@gmail.com', password='kulundeng' )), content_type='application/json' ) data = json.loads(response.data.decode()) self.assertTrue(data['message'] == 'You have successfully logged in') self.assertEqual(response.status_code, 200) def test_non_registered_user_login(self): """ Test for login of non-registered user """ with self.client: response = self.client.post( 'api/v2/auth/login', data=json.dumps(dict( email='victorvenosa@gmail.com', password='thatisthewayitis' )), content_type='application/json' ) data = json.loads(response.data.decode()) self.assertTrue(data['message'] == 'User does not exist.') self.assertEqual(response.status_code, 404) def test_valid_logout(self): """ Test for logout before token expires """ with self.client: response = self.client.post( 'api/v2/auth/register', data=json.dumps(dict( username='victorvenosa', email='osoticharles@gmail.com', designation='customer', password='kulundeng', confirm_password='kulundeng' )), content_type='application/json', ) data = json.loads(response.data.decode()) self.assertTrue( data['message'] == 'You are successfully registered.') self.assertEqual(response.status_code, 201) response = self.client.post( 'api/v2/auth/login', data=json.dumps(dict( email='osoticharles@gmail.com', password='kulundeng' )), content_type='application/json' ) data = json.loads(response.data.decode()) self.assertTrue(data['message'] == 'You have successfully logged in') self.assertEqual(response.status_code, 200) response = self.client.post( 'api/v2/auth/logout', headers=dict( Authorization='Bearer ' + json.loads( response.data.decode() )['auth_token'] ) ) data = json.loads(response.data.decode()) self.assertEqual(response.status_code, 200) if __name__ == '__main__': unittest.main()

39.596639

72

0.480688

391

4,712

5.703325

0.204604

0.046637

0.060987

0.075336

0.776682

0.749776

0.735426

0.70583

0.672646

0

0.010953

0.418718

4,712

118

73

39.932203

0.803213

0.029075

0

0.632075

0

0.163333

0.024181

0

0.122642

1

0.037736

false

0.084906

0.04717

0

0.09434

0

null

0

1

0

1

0

null

0

1

0

5

3df7af6ff2a5b5a3bd52942780ece1b7a754a650

48

py

Python

testpackage.py

saithalavi/nessaid_cli

ed2f9052533030f283e91c1ecb2d0e37b2d1b132

[ "MIT" ]

null

testpackage.py

saithalavi/nessaid_cli

ed2f9052533030f283e91c1ecb2d0e37b2d1b132

[ "MIT" ]

1

2021-07-11T12:43:28.000Z

2021-07-12T13:26:01.000Z

testpackage.py

saithalavi/nessaid_cli

ed2f9052533030f283e91c1ecb2d0e37b2d1b132

[ "MIT" ]

null

from nessaid_cli_tests import doTests doTests()

16

37

0.854167

7

48

5.571429

0.857143

0

0.104167

48

3

38

16

0.906977

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

9a814402b9c3e95e8490df1c07216ca5b947f3c9

41

py

Python

tests/components/universal/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/universal/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

tests/components/universal/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Tests for the universal component."""

20.5

40

0.707317

5

41

5.8

1

0

0.121951

41

1

41

0.805556

0.829268

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

9a955c02ee44bda6704b4cfdd15d20200fb41124

234

py

Python

python/0764.calculate-circumference-and-area.py

Ubastic/lintcode

9f600eece075410221a24859331a810503c76014

[ "MIT" ]

6

2019-10-02T02:24:49.000Z

2021-11-18T10:08:07.000Z

python/0764.calculate-circumference-and-area.py

Ubastic/lintcode

9f600eece075410221a24859331a810503c76014

[ "MIT" ]

1

2020-02-28T03:42:36.000Z

2020-03-07T09:26:00.000Z

src/0764.calculate-circumference-and-area/0764.calculate-circumference-and-area.py

jiangshanmeta/lintcode

7d7003825b5a7b9fd5b0be57aa2d84391e0d1fa5

[ "MIT" ]

2

2020-07-25T08:42:38.000Z

2021-05-07T06:16:46.000Z

class Solution: """ @param r: a Integer represent radius @return: the circle's circumference nums[0] and area nums[1] """ def calculate(self, r): # write your code here return [2*3.14*r,3.14*(r**2)]

29.25

64

0.589744

36

234

3.833333

0.777778

0.043478

0.057971

0

0.05848

0.269231

234

8

65

29.25

0.748538

0.508547

0

0.125

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

9ad3027880890136b730883a25f074e38bd14415

89

py

Python

bbc_lib/bbc/shang.py

zhgu999/SyncBtca

4e4b41c515fc26cde0f71ff38652b4a84e71a2a7

[ "MIT" ]

null

bbc_lib/bbc/shang.py

zhgu999/SyncBtca

4e4b41c515fc26cde0f71ff38652b4a84e71a2a7

[ "MIT" ]

null

bbc_lib/bbc/shang.py

zhgu999/SyncBtca

4e4b41c515fc26cde0f71ff38652b4a84e71a2a7

[ "MIT" ]

1

2020-12-01T10:46:45.000Z

#!/usr/bin/env python3 # -*- codeing : utf-8 -*- def bbc_test2(): print("bbc_test")

17.8

26

0.58427

13

89

3.846154

0.923077

0

0.041096

0.179775

89

5

27

17.8

0.643836

0.516854

0

0.190476

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

b1151548cf18b036ca6810fcf1807d41092d7136

57

py

Python

uiza/api_resources/callback/__init__.py

uizaio/api-wrapper-python

e67c162e711857341f7ef5752178219e94f604d3

[ "MIT" ]

2

2019-04-22T11:39:36.000Z

2020-05-26T04:01:43.000Z

uiza/api_resources/callback/__init__.py

uizaio/api-wrapper-python

e67c162e711857341f7ef5752178219e94f604d3

[ "MIT" ]

null

uiza/api_resources/callback/__init__.py

uizaio/api-wrapper-python

e67c162e711857341f7ef5752178219e94f604d3

[ "MIT" ]

2

2019-02-11T09:34:03.000Z

2019-02-12T10:31:41.000Z

from uiza.api_resources.callback.callback import Callback

57

0.894737

8

57

6.25

0.75

0

0.052632

57

1

57

0.925926

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b11aafdb166bb1ecdf756bdd15504a72df0cafbf

255

py

Python

flake8_too_many/messages.py

queensferryme/flake8-too-many

f19a40eeedf9056a2afc6223bdf359dbbcef90f3

[ "MIT" ]

4

2021-09-02T20:50:19.000Z

2022-01-11T04:00:35.000Z

flake8_too_many/messages.py

queensferryme/flake8-too-many

f19a40eeedf9056a2afc6223bdf359dbbcef90f3

[ "MIT" ]

8

2021-08-16T17:11:22.000Z

2022-02-28T18:30:07.000Z

flake8_too_many/messages.py

queensferryme/flake8-too-many

f19a40eeedf9056a2afc6223bdf359dbbcef90f3

[ "MIT" ]

null

TMN001 = "TMN001 function has too many arguments ({} > {})." TMN002 = "TMN002 function returns too many values ({} > {})." TMN003 = "TMN003 function has too many return statements ({} > {})." TMN004 = "TMN004 unpacking has too many targets ({} > {})."

31.875

68

0.639216

29

255

5.62069

0.517241

0.171779

0.184049

0.220859

0

0.115942

0.188235

255

7

69

36.428571

0.671498

0

0.8

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

b14a9234d247927edefc314877e143bd7008984e

278

py

Python

continents/models.py

brapastor/pygeographic

3b1522b62bf06430dca007d64a5b71243fdb71f0

[ "MIT" ]

null

continents/models.py

brapastor/pygeographic

3b1522b62bf06430dca007d64a5b71243fdb71f0

[ "MIT" ]

null

continents/models.py

brapastor/pygeographic

3b1522b62bf06430dca007d64a5b71243fdb71f0

[ "MIT" ]

null

from django.db import models # Create your models here. class Continent(models.Model): name = models.CharField(max_length=255) translate = models.CharField(max_length=255) color = models.CharField(max_length=255) def __str__(self): return self.name

19.857143

48

0.715827

37

278

5.189189

0.594595

0.234375

0.28125

0.375

0.421875

0

0.04

0.190647

278

13

49

21.384615

0.813333

0.086331

0

1

0.142857

false

0

0.142857

1

0

null

1

0

null

0

1

0

5

b176d1276ec799566dfb2fce1237cc79bf46d926

111

py

Python

lab/device/__init__.py

ParanoiaSYT/Qulab-backup

09ec5457145b3789d4c1ac02c43dd3e6dfafc96f

[ "MIT" ]

null

lab/device/__init__.py

ParanoiaSYT/Qulab-backup

09ec5457145b3789d4c1ac02c43dd3e6dfafc96f

[ "MIT" ]

null

lab/device/__init__.py

ParanoiaSYT/Qulab-backup

09ec5457145b3789d4c1ac02c43dd3e6dfafc96f

[ "MIT" ]

null

from ._driver import BaseDriver from ._quant import QBool, QInteger, QOption, QReal, QString, QVector, QList

37

77

0.783784

14

111

6.071429

0.857143

0

0.144144

111

2

78

55.5

0.894737

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b1816887f51805cf18ad9f260911f1f98a6d538a

136

py

Python

tests/asp/cautious/failing.test3.choice-disjunction.gringo.cautious.asp.test.py

bernardocuteri/wasp

05c8f961776dbdbf7afbf905ee00fc262eba51ad

[ "Apache-2.0" ]

19

2015-12-03T08:53:45.000Z

2022-03-31T02:09:43.000Z

tests/asp/cautious/failing.test3.choice-disjunction.gringo.cautious.asp.test.py

bernardocuteri/wasp

05c8f961776dbdbf7afbf905ee00fc262eba51ad

[ "Apache-2.0" ]

80

2017-11-25T07:57:32.000Z

2018-06-10T19:03:30.000Z

tests/asp/cautious/failing.test3.choice-disjunction.gringo.cautious.asp.test.py

bernardocuteri/wasp

05c8f961776dbdbf7afbf905ee00fc262eba51ad

[ "Apache-2.0" ]

6

2015-01-15T07:51:48.000Z

2020-06-18T14:47:48.000Z

input = """ 1 2 1 0 3 1 3 1 0 2 3 1 4 0 0 3 1 3 1 0 4 3 1 5 0 0 8 2 2 3 1 0 5 0 4 e 3 a 5 c 2 b 0 B+ 0 B- 1 0 1 """ output = """ {} """

5.666667

13

0.441176

51

136

1.176471

0.254902

0.233333

0.15

0.133333

0.2

0

0.551282

0.426471

136

23

14

5.913043

0.217949

0

0.086957

0

0.772059

0

1

0

false

0

1

null

1

0

1

0

1

0

1

0

null

0

5

b192828b7c753e4c546d346a8c3e1d1b058dbbd8

175

py

Python

org.conqat.engine.sourcecode/test-data/org.conqat.engine.sourcecode.shallowparser/python/exceptions_with_comment.py

assessorgeneral/ConQAT

2a462f23f22c22aa9d01a7a204453d1be670ba60

[ "Apache-2.0" ]

1

2020-04-28T20:06:30.000Z

org.conqat.engine.sourcecode/test-data/org.conqat.engine.sourcecode.shallowparser/python/exceptions_with_comment.py

SvenPeldszus/conqat

28fe004a49453894922aeb27ee3467b1748d23e9

[ "Apache-2.0" ]

null

org.conqat.engine.sourcecode/test-data/org.conqat.engine.sourcecode.shallowparser/python/exceptions_with_comment.py

SvenPeldszus/conqat

28fe004a49453894922aeb27ee3467b1748d23e9

[ "Apache-2.0" ]

null

try: pass except ImportError: # tkinter may be missing pass return try: pass except locale.Error: # Workaround for "locale.Error: unsupported locale setting" pass return

14.583333

80

0.771429

24

175

5.625

0.625

0.103704

0.192593

0

0.165714

175

12

81

14.583333

0.924658

0.457143

0

0.8

0

1

0

true

0.4

0.1

0

0.3

0

1

0

null

0

1

0

1

0

null

0

1

0

5

b19925fb675ec56a39d256c14f6a209d9ea1ac97

20,351

py

Python

SBaaS_resequencing/stage01_resequencing_omniExpressExome_query.py

dmccloskey/SBaaS_resequencing

760049eec734a3f02a1172af68b20198713b785e

[ "MIT" ]

null

SBaaS_resequencing/stage01_resequencing_omniExpressExome_query.py

dmccloskey/SBaaS_resequencing

760049eec734a3f02a1172af68b20198713b785e

[ "MIT" ]

null

SBaaS_resequencing/stage01_resequencing_omniExpressExome_query.py

dmccloskey/SBaaS_resequencing

760049eec734a3f02a1172af68b20198713b785e

[ "MIT" ]

null

from .stage01_resequencing_omniExpressExome_postgresql_models import * from SBaaS_base.sbaas_base_query_delete import sbaas_base_query_delete from SBaaS_base.sbaas_base_query_select import sbaas_base_query_select from SBaaS_base.sbaas_template_query import sbaas_template_query class stage01_resequencing_omniExpressExome_query(sbaas_template_query): def initialize_supportedTables(self): '''Set the supported tables dict for stage01_resequencing_omniExpressExome ''' tables_supported = {'data_stage01_resequencing_omniExpressExome':data_stage01_resequencing_omniExpressExome, 'data_stage01_resequencing_omniExpressExome_annotations':data_stage01_resequencing_omniExpressExome_annotations, 'data_stage01_resequencing_omniExpressExome_header':data_stage01_resequencing_omniExpressExome_header, 'data_stage01_resequencing_omniExpressExome_annotations2':data_stage01_resequencing_omniExpressExome_annotations2, 'data_stage01_resequencing_omniExpressExomeFiltered':data_stage01_resequencing_omniExpressExomeFiltered, }; self.set_supportedTables(tables_supported); #SPLIT 2: def reset_data_stage01_resequencing_omniExpressExome(self, tables_I = ['data_stage01_resequencing_omniExpressExome', 'data_stage01_resequencing_omniExpressExome_header'], experiment_id_I = None, warn_I=True): try: querydelete = sbaas_base_query_delete(session_I=self.session,engine_I=self.engine,settings_I=self.settings,data_I=self.data); for table in tables_I: query = {}; query['delete_from'] = [{'table_name':table}]; query['where'] = [{ 'table_name':table, 'column_name':'experiment_id', 'value':experiment_id_I, #'value':self.convert_string2StringString(experiment_id_I), 'operator':'LIKE', 'connector':'AND' } ]; table_model = self.convert_tableStringList2SqlalchemyModelDict([table]); query = querydelete.make_queryFromString(table_model,query); querydelete.reset_table_sqlalchemyModel(query_I=query,warn_I=warn_I); except Exception as e: print(e); def _get_rows_experimentID_dataStage01ResequencingOmniExpressExome(self, experiment_id_I, query_I={}, output_O='listDict', dictColumn_I=None): '''Query rows by experiment_id from data_stage01_resequencing_omniExpressExome INPUT: experiment_id_I = string output_O = string dictColumn_I = string OPTIONAL INPUT: query_I = additional query blocks OUTPUT: data_O = output specified by output_O and dictColumn_I ''' tables = ['data_stage01_resequencing_omniExpressExome']; # get the listDict data data_O = []; query = {}; query['select'] = [{"table_name":tables[0]}]; query['where'] = [ {"table_name":tables[0], 'column_name':'experiment_id', 'value':experiment_id_I, 'operator':'LIKE', 'connector':'AND' }, {"table_name":tables[0], 'column_name':'used_', 'value':'true', 'operator':'IS', 'connector':'AND' }, ]; query['order_by'] = [ {"table_name":tables[0], 'column_name':'experiment_id', 'order':'ASC', }, {"table_name":tables[0], 'column_name':'sample_name', 'order':'ASC', }, {"table_name":tables[0], 'column_name':'SNP_Name', 'order':'ASC', }, ]; #additional blocks for k,v in query_I.items(): if k not in query.items(): query[k]=[]; for r in v: query[k].append(r); data_O = self.get_rows_tables( tables_I=tables, query_I=query, output_O=output_O, dictColumn_I=dictColumn_I); return data_O; def getJoin_rows_experimentIDs_dataStage01ResequecingOmniExpressExomeAndAnnotationsAndAnnotations2( self, experiment_ids_I='', sample_names_I='', raise_I = False): '''Join rows between omniExpressExome, annotations, and annotations auxillary INPUT: experiment_id_I = string OUTPUT: data_O = output specified by output_O and dictColumn_I ''' data_O = []; try: subquery2 = '''SELECT "data_stage01_resequencing_omniExpressExome"."experiment_id", "data_stage01_resequencing_omniExpressExome"."sample_name", "data_stage01_resequencing_omniExpressExome"."SNP_Name", "data_stage01_resequencing_omniExpressExome"."Sample_ID", "data_stage01_resequencing_omniExpressExome"."Allele1_Top", "data_stage01_resequencing_omniExpressExome"."Allele2_Top", "data_stage01_resequencing_omniExpressExome"."GC_Score" ''' subquery2+= '''FROM "data_stage01_resequencing_omniExpressExome" ''' subquery2+= '''WHERE "data_stage01_resequencing_omniExpressExome"."used_" ''' if experiment_ids_I: cmd_q = '''AND "data_stage01_resequencing_omniExpressExome"."experiment_id" =ANY ('{%s}'::text[]) ''' %(self.convert_list2string(experiment_ids_I)); subquery2+=cmd_q; if sample_names_I: cmd_q = '''AND "data_stage01_resequencing_omniExpressExome"."sample_name" =ANY ('{%s}'::text[]) ''' %(self.convert_list2string(sample_names_I)); subquery2+=cmd_q; subquery2+= '''ORDER BY "data_stage01_resequencing_omniExpressExome"."experiment_id" ASC, ''' subquery2+= '''"data_stage01_resequencing_omniExpressExome"."sample_name" ASC ''' subquery1 = '''SELECT "subquery2"."experiment_id", "subquery2"."sample_name", "subquery2"."SNP_Name", "subquery2"."Sample_ID", "subquery2"."Allele1_Top", "subquery2"."Allele2_Top", "subquery2"."GC_Score", "data_stage01_resequencing_omniExpressExome_annotations2"."Name", "data_stage01_resequencing_omniExpressExome_annotations2"."RsID" ''' subquery1+= '''FROM "data_stage01_resequencing_omniExpressExome_annotations2", (%s) AS subquery2 ''' %subquery2 subquery1+= '''WHERE "subquery2"."SNP_Name" = "data_stage01_resequencing_omniExpressExome_annotations2"."Name" ''' subquery1+= '''ORDER BY "subquery2"."experiment_id" ASC, ''' subquery1+= '''"subquery2"."sample_name" ASC, ''' subquery1+= '''"data_stage01_resequencing_omniExpressExome_annotations2"."Name" ASC ''' query_cmd = '''SELECT "subquery1"."experiment_id", "subquery1"."sample_name", "subquery1"."SNP_Name", "subquery1"."Sample_ID", "subquery1"."Allele1_Top", "subquery1"."Allele2_Top", "subquery1"."GC_Score", "data_stage01_resequencing_omniExpressExome_annotations"."IlmnID", "data_stage01_resequencing_omniExpressExome_annotations"."Name", "data_stage01_resequencing_omniExpressExome_annotations"."IlmnStrand", "data_stage01_resequencing_omniExpressExome_annotations"."SNP", "data_stage01_resequencing_omniExpressExome_annotations"."AddressA_ID", "data_stage01_resequencing_omniExpressExome_annotations"."AlleleA_ProbeSeq", "data_stage01_resequencing_omniExpressExome_annotations"."AddressB_ID", "data_stage01_resequencing_omniExpressExome_annotations"."AlleleB_ProbeSeq", "data_stage01_resequencing_omniExpressExome_annotations"."GenomeBuild", "data_stage01_resequencing_omniExpressExome_annotations"."Chr", "data_stage01_resequencing_omniExpressExome_annotations"."MapInfo", "data_stage01_resequencing_omniExpressExome_annotations"."Ploidy", "data_stage01_resequencing_omniExpressExome_annotations"."Species", "data_stage01_resequencing_omniExpressExome_annotations"."Source", "data_stage01_resequencing_omniExpressExome_annotations"."SourceVersion", "data_stage01_resequencing_omniExpressExome_annotations"."SourceStrand", "data_stage01_resequencing_omniExpressExome_annotations"."SourceSeq", "data_stage01_resequencing_omniExpressExome_annotations"."TopGenomicSeq", "data_stage01_resequencing_omniExpressExome_annotations"."BeadSetID", "data_stage01_resequencing_omniExpressExome_annotations"."Exp_Clusters", "data_stage01_resequencing_omniExpressExome_annotations"."RefStrand" ''' query_cmd+= '''FROM "data_stage01_resequencing_omniExpressExome_annotations", (%s) AS subquery1 ''' %subquery1 query_cmd+= '''WHERE ("data_stage01_resequencing_omniExpressExome_annotations"."Name" ="subquery1"."RsID" OR "data_stage01_resequencing_omniExpressExome_annotations"."Name" LIKE '%,' || "subquery1"."RsID" OR "data_stage01_resequencing_omniExpressExome_annotations"."Name" LIKE "subquery1"."RsID" || ',%' OR "data_stage01_resequencing_omniExpressExome_annotations"."Name" LIKE '%,' || "subquery1"."RsID" || ',%') ''' query_cmd+= '''ORDER BY "subquery1"."experiment_id" ASC, ''' query_cmd+= '''"subquery1"."sample_name" ASC, ''' query_cmd+= '''"data_stage01_resequencing_omniExpressExome_annotations"."Chr" ASC, ''' query_cmd+= '''"data_stage01_resequencing_omniExpressExome_annotations"."MapInfo" ASC ''' query_cmd+= ';'; query_select = sbaas_base_query_select(self.session,self.engine,self.settings) data_O = [dict(d) for d in query_select.execute_select(query_cmd)]; except Exception as e: if raise_I: raise; else: print(e); return data_O; def getJoin_rows_experimentIDs_dataStage01ResequecingOmniExpressExomeAndAnnotations( self, experiment_ids_I='', sample_names_I='', gc_score_I = 0.15, include_nan_I = False, raise_I = False): '''Join rows between omniExpressExome, annotations, and annotations auxillary INPUT: experiment_ids_I = string or list sample_names_I = string or list gc_score_I = float include_nan_I = boolean OUTPUT: data_O = output specified by output_O and dictColumn_I "GC_Score" != (SELECT CAST ('NaN' AS FLOAT)) ''' data_O = []; try: subquery1 = '''SELECT "data_stage01_resequencing_omniExpressExome"."experiment_id", "data_stage01_resequencing_omniExpressExome"."sample_name", "data_stage01_resequencing_omniExpressExome"."SNP_Name", "data_stage01_resequencing_omniExpressExome"."Sample_ID", "data_stage01_resequencing_omniExpressExome"."Allele1_Top", "data_stage01_resequencing_omniExpressExome"."Allele2_Top", "data_stage01_resequencing_omniExpressExome"."GC_Score" ''' subquery1+= '''FROM "data_stage01_resequencing_omniExpressExome" ''' subquery1+= '''WHERE "data_stage01_resequencing_omniExpressExome"."used_" ''' if experiment_ids_I: cmd_q = '''AND "data_stage01_resequencing_omniExpressExome"."experiment_id" =ANY ('{%s}'::text[]) ''' %(self.convert_list2string(experiment_ids_I)); subquery1+=cmd_q; if sample_names_I: cmd_q = '''AND "data_stage01_resequencing_omniExpressExome"."sample_name" =ANY ('{%s}'::text[]) ''' %(self.convert_list2string(sample_names_I)); subquery1+=cmd_q; if gc_score_I: cmd_q = '''AND "data_stage01_resequencing_omniExpressExome"."GC_Score" < %s ''' %(gc_score_I); subquery1+=cmd_q; if not include_nan_I: cmd_q = '''AND "data_stage01_resequencing_omniExpressExome"."GC_Score" != (SELECT CAST ('NaN' AS FLOAT)) '''; subquery1+=cmd_q; subquery1+= '''ORDER BY "data_stage01_resequencing_omniExpressExome"."experiment_id" ASC, ''' subquery1+= '''"data_stage01_resequencing_omniExpressExome"."sample_name" ASC ''' query_cmd = '''SELECT "subquery1"."experiment_id", "subquery1"."sample_name", "subquery1"."SNP_Name", "subquery1"."Sample_ID", "subquery1"."Allele1_Top", "subquery1"."Allele2_Top", "subquery1"."GC_Score", "data_stage01_resequencing_omniExpressExome_annotations"."IlmnID", "data_stage01_resequencing_omniExpressExome_annotations"."Name", "data_stage01_resequencing_omniExpressExome_annotations"."IlmnStrand", "data_stage01_resequencing_omniExpressExome_annotations"."SNP", "data_stage01_resequencing_omniExpressExome_annotations"."AddressA_ID", "data_stage01_resequencing_omniExpressExome_annotations"."AlleleA_ProbeSeq", "data_stage01_resequencing_omniExpressExome_annotations"."AddressB_ID", "data_stage01_resequencing_omniExpressExome_annotations"."AlleleB_ProbeSeq", "data_stage01_resequencing_omniExpressExome_annotations"."GenomeBuild", "data_stage01_resequencing_omniExpressExome_annotations"."Chr", "data_stage01_resequencing_omniExpressExome_annotations"."MapInfo", "data_stage01_resequencing_omniExpressExome_annotations"."Ploidy", "data_stage01_resequencing_omniExpressExome_annotations"."Species", "data_stage01_resequencing_omniExpressExome_annotations"."Source", "data_stage01_resequencing_omniExpressExome_annotations"."SourceVersion", "data_stage01_resequencing_omniExpressExome_annotations"."SourceStrand", "data_stage01_resequencing_omniExpressExome_annotations"."SourceSeq", "data_stage01_resequencing_omniExpressExome_annotations"."TopGenomicSeq", "data_stage01_resequencing_omniExpressExome_annotations"."BeadSetID", "data_stage01_resequencing_omniExpressExome_annotations"."Exp_Clusters", "data_stage01_resequencing_omniExpressExome_annotations"."RefStrand" ''' query_cmd+= '''FROM "data_stage01_resequencing_omniExpressExome_annotations", (%s) AS subquery1 ''' %subquery1 query_cmd+= '''WHERE "data_stage01_resequencing_omniExpressExome_annotations"."Name" = "subquery1"."SNP_Name" ''' query_cmd+= '''ORDER BY "subquery1"."experiment_id" ASC, ''' query_cmd+= '''"subquery1"."sample_name" ASC, ''' query_cmd+= '''"data_stage01_resequencing_omniExpressExome_annotations"."Chr" ASC, ''' query_cmd+= '''"data_stage01_resequencing_omniExpressExome_annotations"."MapInfo" ASC ''' query_cmd+= ';'; query_select = sbaas_base_query_select(self.session,self.engine,self.settings) data_O = [dict(d) for d in query_select.execute_select(query_cmd)]; except Exception as e: if raise_I: raise; else: print(e); return data_O; #SPLIT 1: def get_rows_experimentID_dataStage01ResequencingOmniExpressExome(self,experiment_id_I): '''Query rows that are used from the analysis''' try: data = self.session.query(data_stage01_resequencing_omniExpressExome).filter( data_stage01_resequencing_omniExpressExome.experiment_id.like(experiment_id_I), data_stage01_resequencing_omniExpressExome.used_.is_(True)).all(); rows_O = [d.__repr__dict__() for d in data]; return rows_O; except SQLAlchemyError as e: print(e); def get_rows_experimentID_dataStage01ResequencingOmniExpressExomeFiltered(self,experiment_id_I): '''Query rows that are used from the analysis''' try: data = self.session.query(data_stage01_resequencing_omniExpressExomeFiltered).filter( data_stage01_resequencing_omniExpressExomeFiltered.experiment_id.like(experiment_id_I), data_stage01_resequencing_omniExpressExomeFiltered.used_.is_(True)).all(); rows_O = [d.__repr__dict__() for d in data]; return rows_O; except SQLAlchemyError as e: print(e); def get_rows_experimentIDsAndSampleNames_dataStage01ResequencingOmniExpressExomeFiltered( self, experiment_id_I='', sample_names_I='', chromosomes_I='', raise_I = False): '''Query rows that are used from the analysis INPUT: experiment_ids_I = string or list sample_names_I = string or list chromosomes_I = string or list OUTPUT: data_O = output specified by output_O and dictColumn_I ''' data_O=[] try: query_cmd = '''SELECT "data_stage01_resequencing_omniExpressExomeFiltered"."id", "data_stage01_resequencing_omniExpressExomeFiltered"."experiment_id", "data_stage01_resequencing_omniExpressExomeFiltered"."sample_name", "data_stage01_resequencing_omniExpressExomeFiltered"."SNP_Name", "data_stage01_resequencing_omniExpressExomeFiltered"."GenomeBuild", "data_stage01_resequencing_omniExpressExomeFiltered"."Chr", "data_stage01_resequencing_omniExpressExomeFiltered"."MapInfo", "data_stage01_resequencing_omniExpressExomeFiltered"."mutation_data", "data_stage01_resequencing_omniExpressExomeFiltered"."used_", "data_stage01_resequencing_omniExpressExomeFiltered"."comment_" ''' query_cmd+= '''FROM "data_stage01_resequencing_omniExpressExomeFiltered" ''' #query_cmd+= '''WHERE "data_stage01_resequencing_omniExpressExomeFiltered"."used_" ''' query_cmd+= '''WHERE ''' if experiment_id_I: cmd_q = '''"data_stage01_resequencing_omniExpressExomeFiltered"."experiment_id" =ANY ('{%s}'::text[]) ''' %(self.convert_list2string(experiment_id_I)); #cmd_q = '''AND "data_stage01_resequencing_omniExpressExomeFiltered"."experiment_id" =ANY ('{%s}'::text[]) ''' %(self.convert_list2string(experiment_id_I)); query_cmd+=cmd_q; if sample_names_I: cmd_q = '''AND "data_stage01_resequencing_omniExpressExomeFiltered"."sample_name" =ANY ('{%s}'::text[]) ''' %(self.convert_list2string(sample_names_I)); query_cmd+=cmd_q; if chromosomes_I: cmd_q = '''AND "data_stage01_resequencing_omniExpressExomeFiltered"."Chr" =ANY ('{%s}'::text[]) ''' %(self.convert_list2string(chromosomes_I)); query_cmd+=cmd_q; #query_cmd+= '''AND "data_stage01_resequencing_omniExpressExomeFiltered"."Chr"='1' ''' #testing only query_cmd+= '''ORDER BY experiment_id ASC, sample_name ASC, "Chr" ASC, "MapInfo" ASC ''' query_cmd+= ';'; query_select = sbaas_base_query_select(self.session,self.engine,self.settings) data_O = [dict(d) for d in query_select.execute_select(query_cmd)]; except Exception as e: if raise_I: raise; else: print(e); return data_O;

55.452316

172

0.640116

1,853

20,351

6.577982

0.090664

0.197965

0.233981

0.32636

0.795389

0.74961

0.680203

0.658134

0.604233

0.566905

0

0.024322

0.258562

20,351

367

173

55.452316

0.783418

0.022308

0

0.583893

0

0.548262

0.40491

0

null

0

0.013423

null

0.020134

0

null

0

1

0

1

0

1

null

0

1

0

5

b19d76322efd5396f2bee733bc2f33110d63a231

12,514

py

Python

tests/test_hfdata.py

usda-ars-ussl/fluxpart

c519f319a9b09df785a30f2bcc23abbd1e052921

[ "CC0-1.0" ]

33

2016-08-22T10:26:16.000Z

2022-02-15T08:02:41.000Z

tests/test_hfdata.py

usda-ars-ussl/fluxpart

c519f319a9b09df785a30f2bcc23abbd1e052921

[ "CC0-1.0" ]

8

2018-04-10T14:49:07.000Z

2021-05-27T17:31:59.000Z

tests/test_hfdata.py

usda-ars-ussl/fluxpart

c519f319a9b09df785a30f2bcc23abbd1e052921

[ "CC0-1.0" ]

11

2016-11-29T10:57:07.000Z

2021-01-15T02:55:20.000Z

import io import os import numpy as np import numpy.testing as npt import pandas as pd from fluxpart.hfdata import HFData, HFDataSource from fluxpart.fluxpart import _converter_func, _peektime TESTDIR = os.path.dirname(os.path.realpath(__file__)) DATADIR = os.path.join(TESTDIR, "data") def test_hfdata_reader(): toy_data = ( "foobar baz\n" "'asdf',0,2,3,4,5,6,7,9,0\n" "'asdf',1,2,3,4,5,6,7,9,0\n" "'asdf',2,2,3,4,5,6,7,9,1\n" "'asdf',3,2,3,4,5,6,,9,0\n" "'asdf',4,2,3,4,5,6,7,9,0\n" "# foo\n" "'asdf',5,2,3,4,5,6,7,9,0\n" "'asdf',6,2,3,4,5,6,7,xxx,0\n" "'asdf',7,???,3,4,5,6,7,9,0\n" "'asdf',8,2,3,4,5,6,7,9,0\n" "'asdf',9,2,3,4,5,6,7,9,0\n" "'asdf',10,2,3,4,5,6,7,9,0\n" "'asdf',11,-2,3,4,5,6,7,9,0\n" ) source = HFDataSource( files=[io.BytesIO(toy_data.encode())], filetype="csv", cols=(1, 2, 3, 6, 7, 4, 5), comment="#", skiprows=1, na_values="???", converters={"q": _converter_func(10., 0)}, flags=(9, 0), delimiter=",", ) toy = HFData(next(source.reader(interval=None))) toy.cleanse(rd_tol=0.1, ad_tol=2, bounds={"v": (0, np.inf)}) npt.assert_allclose(toy.dataframe["u"], [4, 5, 6]) npt.assert_allclose(toy.dataframe["v"], 3 * [2]) npt.assert_allclose(toy.dataframe["w"], 3 * [3]) npt.assert_allclose(toy.dataframe["q"], 3 * [70]) npt.assert_allclose(toy.dataframe["c"], 3 * [6]) npt.assert_allclose(toy.dataframe["T"], 3 * [4]) npt.assert_allclose(toy.dataframe["P"], 3 * [5]) # missing time series data toy_data = ( "foobar baz\n" "'2013-01-14 08:21:48' ,0,2,3,4,5,6,7,9,0\n" "'2013-01-14 08:21:48.1',1,2,3,4,5,6,7,9,0\n" "'2013-01-14 08:21:48.2',2,2,3,4,5,6,7,9,1\n" "'2013-01-14 08:21:48.3',3,2,3,4,5,6,,9,0\n" "'2013-01-14 08:21:48.4',4,2,3,4,5,6,7,9,0\n" "'2013-01-14 09:20:10' ,5,2,3,4,5,6,7,9,0\n" "'2013-01-14 09:20:10.1',6,2,3,4,5,6,7,9,0\n" "'2013-01-14 09:20:10.2',7,2,3,4,5,6,7,9,0\n" "'2013-01-14 09:20:10.3',8,2,3,4,5,6,7,9,0\n" "'2013-01-14 09:20:10.4',9,2,3,4,5,6,7,9,0\n" "'2013-01-14 09:20:10.5',10,2,3,4,5,6,7,9,0\n" "'2013-01-14 09:20:10.6',11,-2,3,4,5,6,7,9,0\n" ) source = HFDataSource( files=[io.BytesIO(toy_data.encode())], filetype="csv", cols=(1, 2, 3, 6, 7, 4, 5), time_col=0, skiprows=1, converters={"q": _converter_func(10., 0)}, delimiter=",", ) toy = HFData(next(source.reader(interval=None))) toy.cleanse(rd_tol=0.1, ad_tol=2) assert int(toy.dataframe.iloc[0]["u"]) == 6 assert int(toy.dataframe.iloc[-1]["u"]) == 11 # toa5 cols = (2, 3, 4, 5, 6, 7, 8) fname = os.path.join(DATADIR, "TOA5_6843.ts_Above_2012_06_07_1300.dat") kws = dict( skiprows=4, converters={ "T": _converter_func(1, 273.15), "q": _converter_func(1e-3, 0), "c": _converter_func(1e-6, 0), "P": _converter_func(1e3, 0), }, flags=[(9, 0)], ) source = HFDataSource(files=[fname], filetype="csv", cols=cols, **kws) reader = source.reader(interval=None) data = HFData(next(reader)) assert_1300_read(data) kws = dict( skiprows=4, time_col=0, converters={ "T": _converter_func(1, 273.15), "q": _converter_func(1e-3, 0), "c": _converter_func(1e-6, 0), "P": _converter_func(1e3, 0), }, flags=(9, 0), ) source = HFDataSource(files=[fname], filetype="csv", cols=cols, **kws) reader = source.reader(interval="15min") data = HFData(next(reader)) assert data.dataframe.index[0] == pd.to_datetime("2012-06-07 13:00:00.05") assert data.dataframe.index[-1] == pd.to_datetime("2012-06-07 13:14:59.95") assert_1300_interval_read(data) fnames = [ os.path.join(DATADIR, "TOA5_6843.ts_Above_2012_06_07_1245.dat"), os.path.join(DATADIR, "TOA5_6843.ts_Above_2012_06_07_1300.dat"), ] source = HFDataSource(fnames, filetype="csv", cols=cols, **kws) reader = source.reader(interval="10min") for cnt, df in enumerate(reader): assert_10min_chunk_read(cnt, df) reader = source.reader(interval="15min") for cnt, df in enumerate(reader): assert_15min_chunk_read(cnt, df) reader = source.reader(interval="20min") for cnt, df in enumerate(reader): assert_20min_chunk_read(cnt, df) # tob fname = os.path.join(DATADIR, "testing.tob") kws = dict( filetype="tob1", cols=(3, 4, 5, 6, 7, 8, 9), converters={ "T": _converter_func(1, 273.15), "q": _converter_func(1e-3, 0), "c": _converter_func(1e-6, 0), "P": _converter_func(1e3, 0), }, ) source = HFDataSource(files=[fname], **kws) data = HFData(next(source.reader(interval="30min"))) assert_tob_read(data) datetime = _peektime([fname], **kws)[0] assert datetime.round(freq="100ms") == pd.to_datetime( "2017-08-03 00:00:00.1" ) reader = source.reader(interval="5s") for cnt, df in enumerate(reader): assert_5S_tobchunk_read(cnt, df) reader = source.reader(interval="1min") for cnt, df in enumerate(reader): assert_1min_tobchunk_read(cnt, df) # ghg tab delimited data file fname = os.path.join(DATADIR, "head_ghg.data") kws = { 'filetype': 'csv', 'sep': '\t', 'cols': (11, 12, 13, 7, 8, 9, 10), 'time_col': [5, 6], 'skiprows': 8, 'na_values': 'NAN', 'to_datetime_kws': {"format": "%Y-%m-%d %H:%M:%S:%f"} } source = HFDataSource(files=[fname], **kws) data = HFData(next(source.reader(interval=None))) assert_ghg_read(data) def assert_1300_read(data): npt.assert_allclose(data["u"].iloc[0], 0.468) npt.assert_allclose(data["v"].iloc[0], -0.9077501) npt.assert_allclose(data["w"].iloc[0], 0.1785) npt.assert_allclose(data["c"].iloc[0], 659.7584e-6) npt.assert_allclose(data["q"].iloc[0], 9.530561e-3) npt.assert_allclose(data["T"].iloc[0], 28.52527 + 273.15) npt.assert_allclose(data["P"].iloc[0], 100.1938e3) npt.assert_allclose(data["u"].iloc[-1], 1.3675) npt.assert_allclose(data["v"].iloc[-1], -0.75475) npt.assert_allclose(data["w"].iloc[-1], -0.1775) npt.assert_allclose(data["c"].iloc[-1], 658.2624e-6) npt.assert_allclose(data["q"].iloc[-1], 9.404386e-3) npt.assert_allclose(data["T"].iloc[-1], 28.35199 + 273.15) npt.assert_allclose(data["P"].iloc[-1], 100.1938e3) npt.assert_allclose(data["u"].mean(), 1.43621, atol=1e-4) npt.assert_allclose(data["v"].mean(), -0.634818, atol=1e-4) npt.assert_allclose(data["w"].mean(), 0.0619483, atol=1e-4) npt.assert_allclose(data["c"].mean(), 659.052e-6, atol=1e-9) npt.assert_allclose(data["q"].mean(), 9.56732e-3, atol=1e-7) npt.assert_allclose(data["T"].mean(), 28.5431 + 273.15, atol=1e-4) npt.assert_allclose(data["P"].mean(), 100.179e3, atol=1e0) def assert_1300_interval_read(data): """last line in file is not read because belongs to next interval""" npt.assert_allclose(data["u"].iloc[0], 0.468) npt.assert_allclose(data["v"].iloc[0], -0.9077501) npt.assert_allclose(data["w"].iloc[0], 0.1785) npt.assert_allclose(data["c"].iloc[0], 659.7584e-6) npt.assert_allclose(data["q"].iloc[0], 9.530561e-3) npt.assert_allclose(data["T"].iloc[0], 28.52527 + 273.15) npt.assert_allclose(data["P"].iloc[0], 100.1938e3) npt.assert_allclose(data["u"].iloc[-1], 1.20050) npt.assert_allclose(data["v"].iloc[-1], -0.775) npt.assert_allclose(data["w"].iloc[-1], -0.1610) npt.assert_allclose(data["c"].iloc[-1], 658.3277e-6) npt.assert_allclose(data["q"].iloc[-1], 9.394239e-3) npt.assert_allclose(data["T"].iloc[-1], 28.35199 + 273.15) npt.assert_allclose(data["P"].iloc[-1], 100.1678e3) npt.assert_allclose(data["u"].mean(), 1.43621, atol=1e-4) npt.assert_allclose(data["v"].mean(), -0.634818, atol=1e-4) npt.assert_allclose(data["w"].mean(), 0.0619483, atol=1e-4) npt.assert_allclose(data["c"].mean(), 659.052e-6, atol=1e-9) npt.assert_allclose(data["q"].mean(), 9.56732e-3, atol=1e-7) npt.assert_allclose(data["T"].mean(), 28.5431 + 273.15, atol=1e-4) npt.assert_allclose(data["P"].mean(), 100.179e3, atol=1e0) def assert_tob_read(data): npt.assert_allclose(data["u"].iloc[0], -2.57175016) npt.assert_allclose(data["v"].iloc[0], 1.6450001) npt.assert_allclose(data["w"].iloc[0], -0.12725) npt.assert_allclose(data["c"].iloc[0], 612.54150391e-6) npt.assert_allclose(data["q"].iloc[0], 13.11471748e-3) npt.assert_allclose(data["T"].iloc[0], 23.29580116 + 273.15) npt.assert_allclose(data["P"].iloc[0], 85.04070282e3) npt.assert_allclose(data["u"].iloc[-1], -2.4402502) npt.assert_allclose(data["v"].iloc[-1], 1.5402501) npt.assert_allclose(data["w"].iloc[-1], -0.11375) npt.assert_allclose(data["c"].iloc[-1], 615.627e-6) npt.assert_allclose(data["q"].iloc[-1], 13.200139e-3) npt.assert_allclose(data["T"].iloc[-1], 23.015879 + 273.15) npt.assert_allclose(data["P"].iloc[-1], 85.0407e3) assert data.dataframe.index[0].round(freq="100ms") == pd.to_datetime( "2017-08-03 00:00:00.1" ) assert data.dataframe.index[-1].round(freq="100ms") == pd.to_datetime( "2017-08-03 00:00:14.4" ) def assert_ghg_read(data): npt.assert_allclose(data["u"].iloc[0], 0.752103) npt.assert_allclose(data["v"].iloc[0], -0.591885) npt.assert_allclose(data["w"].iloc[0], 0.199506) npt.assert_allclose(data["c"].iloc[0], 15.1805) npt.assert_allclose(data["q"].iloc[0], 817.852) npt.assert_allclose(data["T"].iloc[0], 27.6979) npt.assert_allclose(data["P"].iloc[0], 96.9071) npt.assert_allclose(data["u"].iloc[-1], 0.781697) npt.assert_allclose(data["v"].iloc[-1], -0.542902) npt.assert_allclose(data["w"].iloc[-1], 0.195424) npt.assert_allclose(data["c"].iloc[-1], 15.1822) npt.assert_allclose(data["q"].iloc[-1], 817.922) npt.assert_allclose(data["T"].iloc[-1], 27.6979) npt.assert_allclose(data["P"].iloc[-1], 96.9071) assert data.dataframe.index[0].round(freq="100ms") == pd.to_datetime( "2017-08-02 11:30:00" ) assert data.dataframe.index[-1].round(freq="100ms") == pd.to_datetime( "2017-08-02 11:30:00.1" ) def assert_10min_chunk_read(ichunk, df): starts = [ "2012-06-07 12:45:00.05", "2012-06-07 12:50:00", "2012-06-07 13:00:00", "2012-06-07 13:10:00", ] stops = [ "2012-06-07 12:49:59.95", "2012-06-07 12:59:59.95", "2012-06-07 13:09:59.95", "2012-06-07 13:15:00", ] assert df.index[0] == pd.to_datetime(starts[ichunk]) assert df.index[-1] == pd.to_datetime(stops[ichunk]) def assert_15min_chunk_read(ichunk, df): starts = [ "2012-06-07 12:45:00.05", "2012-06-07 13:00:00", "2012-06-07 13:15:00", ] stops = [ "2012-06-07 12:59:59.95", "2012-06-07 13:14:59.95", "2012-06-07 13:15:00", ] assert df.index[0] == pd.to_datetime(starts[ichunk]) assert df.index[-1] == pd.to_datetime(stops[ichunk]) def assert_20min_chunk_read(ichunk, df): starts = ["2012-06-07 12:45:00.05", "2012-06-07 13:00:00"] stops = ["2012-06-07 12:59:59.95", "2012-06-07 13:15:00"] assert df.index[0] == pd.to_datetime(starts[ichunk]) assert df.index[-1] == pd.to_datetime(stops[ichunk]) def assert_5S_tobchunk_read(cnt, df): starts = [ "2017-08-03 00:00:00.1", "2017-08-03 00:00:05", "2017-08-03 00:00:10", ] stops = [ "2017-08-03 00:00:04.9", "2017-08-03 00:00:09.9", "2017-08-03 00:00:14.4", ] assert df.index[0].round(freq="100ms") == pd.to_datetime(starts[cnt]) assert df.index[-1].round(freq="100ms") == pd.to_datetime(stops[cnt]) def assert_1min_tobchunk_read(cnt, df): starts = ["2017-08-03 00:00:00.1"] stops = ["2017-08-03 00:00:14.4"] assert df.index[0].round(freq="100ms") == pd.to_datetime(starts[cnt]) assert df.index[-1].round(freq="100ms") == pd.to_datetime(stops[cnt]) if __name__ == "__main__": test_hfdata_reader()

35.95977

79

0.5895

2,109

12,514

3.391655

0.113798

0.096882

0.183

0.205508

0.831819

0.76765

0.735216

0.649378

0.566056

0.531246

0

0.177443

0.197938

12,514

347

80

36.063401

0.53522

0.009989

0

0.397306

0

0.074074

0.160016

0.060097

0

0.383838

1

0.03367

false

0

0.023569

0

0.057239

0

null

0

1

0

null

0

5

490ed0fd88b53c21775d44b5f53a1e0df1d343c7

190

py

Python

fromzeroton/library_fun.py

vierth/fromZerotoN

d4041744c985496ed8bddd6f0000d49028f7899a

[ "Apache-2.0" ]

7

2020-12-15T23:31:52.000Z

2021-01-20T19:55:48.000Z

fromzeroton/library_fun.py

vierth/fromZerotoN

d4041744c985496ed8bddd6f0000d49028f7899a

[ "Apache-2.0" ]

null

fromzeroton/library_fun.py

vierth/fromZerotoN

d4041744c985496ed8bddd6f0000d49028f7899a

[ "Apache-2.0" ]

6

2021-01-16T19:27:00.000Z

2021-12-19T16:39:02.000Z

# some good libraries import math, random, re, os, json import nltk, matplotlib, pandas, numpy import pandas as pd from matplotlib import pyplot as plt import matplotlib.pyplot as plt

27.142857

39

0.768421

29

190

5.034483

0.62069

0.109589

0.150685

0

0.184211

190

7

40

27.142857

0.941935

0.1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

49265f1d8f87f50b9ef9f188cf443f72a5859b7c

126

py

Python

mqttrpc/__init__.py

litnimax/python-mqttrpc

21dc8bc0754bade9430ae3db2cab4583d904413f

[ "MIT" ]

10

2018-03-11T14:09:46.000Z

2022-01-30T20:35:01.000Z

mqttrpc/__init__.py

litnimax/python-mqttrpc

21dc8bc0754bade9430ae3db2cab4583d904413f

[ "MIT" ]

1

2019-11-06T17:08:30.000Z

2019-11-07T09:10:10.000Z

mqttrpc/__init__.py

litnimax/python-mqttrpc

21dc8bc0754bade9430ae3db2cab4583d904413f

[ "MIT" ]

2

2018-04-01T19:22:40.000Z

2019-11-06T15:41:56.000Z

from .mqttrpc import MQTTRPC, dispatcher from .rpcproxy import RPCProxy, OdooRPCProxy from hbmqtt.client import mqtt_connected

42

44

0.857143

16

126

6.6875

0.625

0

0.103175

126

3

45

42

0.946903

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

4928ecbc8cf1183615b5139ef457e02a613434c6

58

py

Python

gc_bias/__init__.py

nahanoo/gc_bias

fa21b18c6cbaeba441d89bba8bd98b93e39ce937

[ "MIT" ]

null

gc_bias/__init__.py

nahanoo/gc_bias

fa21b18c6cbaeba441d89bba8bd98b93e39ce937

[ "MIT" ]

null

gc_bias/__init__.py

nahanoo/gc_bias

fa21b18c6cbaeba441d89bba8bd98b93e39ce937

[ "MIT" ]

null

from .gc_coverage import GC from .plotting import Plotting

29

30

0.844828

9

58

5.333333

0.555556

0

0.12069

58

2

30

29

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

492ecf2b595e48ceb94fca123d004f048aecdf63

79

py

Python

flask_table/compat.py

nullptrT/flask_table

d4577307bf3b790fb1d91238019577beb477ee4a

[ "BSD-3-Clause" ]

215

2015-01-09T12:18:19.000Z

2022-01-31T00:18:29.000Z

flask_table/compat.py

nullptrT/flask_table

d4577307bf3b790fb1d91238019577beb477ee4a

[ "BSD-3-Clause" ]

93

2015-02-03T22:39:02.000Z

2022-01-26T04:12:16.000Z

flask_table/compat.py

nullptrT/flask_table

d4577307bf3b790fb1d91238019577beb477ee4a

[ "BSD-3-Clause" ]

48

2015-04-29T09:23:34.000Z

2022-01-21T13:50:39.000Z

def with_metaclass(meta, base=object): return meta("NewBase", (base,), {})

26.333333

39

0.658228

10

79

5.1

0.8

0

0.139241

79

2

40

39.5

0.75

0

0.088608

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

49444f1f207d953ef259e316a6862cdbc8bd1456

155

py

Python

src/pytools/api/__init__.py

BCG-Gamma/pytools

d7be703e0665917cd75b671564d5c0163f13b77b

[ "Apache-2.0" ]

17

2021-01-12T08:07:11.000Z

2022-03-03T22:59:04.000Z

src/pytools/api/__init__.py

BCG-Gamma/pytools

d7be703e0665917cd75b671564d5c0163f13b77b

[ "Apache-2.0" ]

10

2021-01-08T17:04:39.000Z

2022-01-18T13:21:52.000Z

src/pytools/api/__init__.py

BCG-Gamma/pytools

d7be703e0665917cd75b671564d5c0163f13b77b

[ "Apache-2.0" ]

1

2021-11-06T00:16:43.000Z

""" Basic tools for API development, supporting documentation, deprecation, and run-time validation. """ from ._api import * from ._doc_validator import *

22.142857

71

0.767742

19

155

6.105263

0.842105

0

0.135484

155

6

72

25.833333

0.865672

0.619355

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

49568dfc6682b5664dca247e52d487278363e327

87

py

Python

faster_rcnn/da_head/build.py

Shuntw6096/swda-detectron2

6ca9cfc2487b979f38adff5cd9138f233a6578cd

[ "MIT" ]

4

2021-09-16T10:29:35.000Z

2022-03-13T14:28:23.000Z

faster_rcnn/da_head/build.py

Shuntw6096/swda-detectron2

6ca9cfc2487b979f38adff5cd9138f233a6578cd

[ "MIT" ]

2

2021-10-07T00:24:06.000Z

2022-03-04T10:17:16.000Z

faster_rcnn/da_head/build.py

Shuntw6096/swda-detectron2

6ca9cfc2487b979f38adff5cd9138f233a6578cd

[ "MIT" ]

null

from detectron2.utils.registry import Registry DA_HEAD_REGISTRY = Registry("DA_HEAD")

21.75

46

0.827586

12

87

5.75

0.583333

0.289855

0.405797

0

0.012658

0.091954

87

3

47

29

0.860759

0

0.08046

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

496fa00dc04f89e3ac9410efd5be93c554cb3c0b

207

py

Python

src/xsd_frontend/admin.py

minyiky/xSACdb

8c407e9a9da196750a66ad53613ad67c8c56e1c3

[ "MIT" ]

2

2017-08-14T14:40:17.000Z

2019-02-07T13:10:23.000Z

src/xsd_frontend/admin.py

minyiky/xSACdb

8c407e9a9da196750a66ad53613ad67c8c56e1c3

[ "MIT" ]

19

2016-02-07T18:02:53.000Z

2019-11-03T17:48:13.000Z

src/xsd_frontend/admin.py

minyiky/xSACdb

8c407e9a9da196750a66ad53613ad67c8c56e1c3

[ "MIT" ]

4

2015-10-19T17:24:35.000Z

2021-05-12T07:30:32.000Z

from django.contrib import admin from django.conf import settings admin.site.site_title = '[xSACdb:{club_name}]'.format(club_name=settings.CLUB.get('name')) admin.site.site_header = admin.site.site_title

25.875

90

0.78744

32

207

4.9375

0.46875

0.170886

0.246835

0.227848

0

0.082126

207

7

91

29.571429

0.831579

0

0.117073

0

1

0

true

0

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

1

0

5

4975c42d952a779b3fcb19093ebfe0bf41d11da2

359

py

Python

tests/test_api_api.py

SomeoneLixin/api-dock

3958a3a3286ae7f8802df9aba5ece2908ca4361e

[ "MIT" ]

4

2018-05-07T15:39:17.000Z

2019-07-03T21:28:10.000Z

tests/test_api_api.py

SomeoneLixin/api-dock

3958a3a3286ae7f8802df9aba5ece2908ca4361e

[ "MIT" ]

4

2020-09-05T10:57:19.000Z

2021-05-09T16:01:22.000Z

tests/test_api_api.py

SomeoneLixin/api-dock

3958a3a3286ae7f8802df9aba5ece2908ca4361e

[ "MIT" ]

1

2018-05-09T07:57:03.000Z

import unittest from tests.base import BaseTestCase class ApiApiTestCase(BaseTestCase): def test_get_apis_list(self): pass def test_new_api(self): pass def test_show_api(self): pass def test_edit_api(self): pass def test_delete_api(self): pass if __name__ == '__main__': unittest.main()

14.958333

35

0.64624

46

359

4.630435

0.5

0.164319

0.206573

0.28169

0.253521

0

0.278552

359

23

36

15.608696

0.822394

0

0.333333

0

0.022284

0

1

0.333333

false

0.333333

0.133333

0

0.533333

0

null

0

1

0

null

0

1

0

1

0

1

0

5

77073387dc748d0eeb7d8ca0097d8f9d7d5ef5e6

143

py

Python

administration/src/services/csrf_service.py

shivamvku/flakrfid

559198d23907eea6e87f38fac1c5fb5c2b6fbca8

[ "MIT" ]

null

administration/src/services/csrf_service.py

shivamvku/flakrfid

559198d23907eea6e87f38fac1c5fb5c2b6fbca8

[ "MIT" ]

1

2019-05-13T16:19:36.000Z

2019-05-19T11:21:22.000Z

administration/src/services/csrf_service.py

shivamvku/flakrfid

559198d23907eea6e87f38fac1c5fb5c2b6fbca8

[ "MIT" ]

null

import random from werkzeug.security import gen_salt def generate_csrf(): length = random.randint(1, 11) * 3 return gen_salt(length)

17.875

38

0.734266

21

143

4.857143

0.761905

0.137255

0

0.034188

0.181818

143

7

39

20.428571

0.837607

0

1

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

772229deaf0d68226422bc6fd149c39931dcb8d3

136

py

Python

Darlington/phase1/python Basic 1/day 14 solution/qtn6.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

Darlington/phase1/python Basic 1/day 14 solution/qtn6.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

Darlington/phase1/python Basic 1/day 14 solution/qtn6.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

#program to get the actual module object for a given object. from inspect import getmodule from math import sqrt print(getmodule(sqrt))

27.2

60

0.808824

22

136

5

0.772727

0

0.147059

136

4

61

34

0.948276

0.433824

0

1

0

true

0

0.666667

0

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

773b1ab9684d2b559a76b0ce2381c18dc4cc45c2

95

py

Python

readability_baseline/utils/utils.py

SharvilN/Common-Readability-Prize

c92f8b3456610a092027fb1a287541cbecab410b

[ "MIT" ]

null

readability_baseline/utils/utils.py

SharvilN/Common-Readability-Prize

c92f8b3456610a092027fb1a287541cbecab410b

[ "MIT" ]

null

readability_baseline/utils/utils.py

SharvilN/Common-Readability-Prize

c92f8b3456610a092027fb1a287541cbecab410b

[ "MIT" ]

null

def get_col_names(prefix: str, count: int): return [f"{prefix}_{i}" for i in range(count)]

31.666667

50

0.673684

17

95

3.588235

0.823529

0

0.157895

95

3

50

31.666667

0.7625

0

0.126316

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

77406b64b1ef7217814ec3a364ae5dfae74ee117

818

py

Python

data/test.py

Belousk/YalLessonOrm

f74f9088d0710a4ab29b8a2758aba61fd9d539fb

[ "BSD-3-Clause" ]

null

data/test.py

Belousk/YalLessonOrm

f74f9088d0710a4ab29b8a2758aba61fd9d539fb

[ "BSD-3-Clause" ]

null

data/test.py

Belousk/YalLessonOrm

f74f9088d0710a4ab29b8a2758aba61fd9d539fb

[ "BSD-3-Clause" ]

null

from requests import get, post, delete, put print(get('http://localhost:5000/api/v2/jobs/2').json()) print(get('http://localhost:5000/api/v2/jobs/666').json()) print(get('http://localhost:5000/api/v2/jobs/g').json()) print(post('http://localhost:5000/api/v2/jobs').json()) # Empty request print(post('http://localhost:5000/api/v2/jobs', json={'job': 'Loh'}).json()) # Bad request print(post('http://localhost:5000/api/v2/jobs', json={'job': 'Learn English', 'work_size': 10, 'collaborators': '1, 2, 3', 'is_finished': False, 'team_leader': 2}).json()) # Success request print(delete('http://localhost:5000/api/v2/jobs/999').json()) print(delete('http://localhost:5000/api/v2/jobs/9').json()) # print(put('http://localhost:5000/api/v2/jobs/2', json={'job': 'S**k d**k'}))

43.052632

107

0.638142

125

818

4.152

0.336

0.225434

0.294798

0.346821

0.680154

0.410405

0.188825

0

0.082531

0.111247

818

18

108

45.444444

0.631362

0.144254

0

0.166667

0

0.505036

0

1

0

true

0

0.083333

0

0.083333

0.666667

0

null

1

0

null

0

1

0

1

0

5

775f09a5879b55ec31c0cc774613efc4f38632f6

73

py

Python

celery_once/backends/__init__.py

alkymi-io/celery-once

adcb91d393569703b560c863305746b2e0e12d28

[ "BSD-2-Clause" ]

388

2017-06-02T00:10:24.000Z

2022-03-31T12:49:09.000Z

celery_once/backends/__init__.py

alkymi-io/celery-once

adcb91d393569703b560c863305746b2e0e12d28

[ "BSD-2-Clause" ]

82

2017-06-05T11:16:15.000Z

2021-11-25T12:59:03.000Z

celery_once/backends/__init__.py

alkymi-io/celery-once

adcb91d393569703b560c863305746b2e0e12d28

[ "BSD-2-Clause" ]

63

2017-05-12T17:39:09.000Z

2021-11-23T19:37:53.000Z

# -*- coding: utf-8 -*- from .file import File from .redis import Redis

14.6

24

0.657534

11

73

4.363636

0.636364

0

0.016949

0.191781

73

4

25

18.25

0.79661

0.287671

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

62068a73ecb1a30d961062c33c8247d3a5bb9b4d

167

py

Python

tests/fixtures/yarden.py

NickleDave/conbirt

71db6c6fd68dfef1bdbdcfacd8b2a16b21b86089

[ "BSD-3-Clause" ]

null

tests/fixtures/yarden.py

NickleDave/conbirt

71db6c6fd68dfef1bdbdcfacd8b2a16b21b86089

[ "BSD-3-Clause" ]

3

2018-12-16T17:57:22.000Z

2018-12-16T20:12:33.000Z

tests/fixtures/yarden.py

NickleDave/conbirt

71db6c6fd68dfef1bdbdcfacd8b2a16b21b86089

[ "BSD-3-Clause" ]

null

import pytest @pytest.fixture def yarden_annot_mat(test_data_root): return test_data_root / 'audio_wav_annot_yarden' / 'llb16_annotation_May_2019_alexa_4TF.mat'

23.857143

96

0.826347

26

167

4.769231

0.730769

0.129032

0.193548

0

0.046667

0.101796

167

6

97

27.833333

0.78

0

0.365269

0

1

0.25

false

0

0.25

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

62084cf2ae86efe4ebb5487651b01743d5514853

119

py

Python

katas/kyu_7/number_star_ladder.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

katas/kyu_7/number_star_ladder.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

katas/kyu_7/number_star_ladder.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

OUTPUT = '1{}{}'.format def pattern(n): return '\n'.join(OUTPUT('*' * a, a + 1 if a else '') for a in xrange(n))

19.833333

76

0.537815

21

119

3.047619

0.666667

0

0.021505

0.218487

119

5

77

23.8

0.666667

0

0.067227

0

1

0.333333

false

0

0.333333

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6215b304af26eb64665d0c01ee70077520af8402

455

py

Python

SocialRobotCustom/python/social_bot/envs/__init__.py

jesbu1/h-baselines

f6f775bb18de22527f2d01d73bd733ed2e435ba3

[ "MIT" ]

74

2019-02-26T03:05:18.000Z

2022-02-11T06:56:08.000Z

SocialRobotCustom/python/social_bot/envs/__init__.py

jesbu1/h-baselines

f6f775bb18de22527f2d01d73bd733ed2e435ba3

[ "MIT" ]

66

2019-02-09T23:52:38.000Z

2022-01-16T01:27:52.000Z

SocialRobotCustom/python/social_bot/envs/__init__.py

jesbu1/h-baselines

f6f775bb18de22527f2d01d73bd733ed2e435ba3

[ "MIT" ]

25

2019-03-08T02:40:19.000Z

2021-08-12T02:43:41.000Z

# Copyright (c) 2019 Horizon Robotics. All Rights Reserved. from .simple_navigation import SimpleNavigation from .simple_navigation import SimpleNavigationDiscreteAction from .simple_navigation import SimpleNavigationLanguage from .simple_navigation import SimpleNavigationSelfStatesLanguage from .cartpole import CartPole from .pr2 import Pr2Gripper from .play_ground import PlayGround from .icub_walk import ICubWalk from .icub_walk import ICubWalkPID

37.916667

65

0.868132

51

455

7.607843

0.509804

0.103093

0.206186

0.268041

0

0.01467

0.101099

455

11

66

41.363636

0.933985

0.125275

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

623f56c8f0c91bc3784a19af70943223e5e8fcd7

10,100

py

Python

src/footprint/azext_footprint/tests/latest/test_footprint_scenario.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

207

2017-11-29T06:59:41.000Z

2022-03-31T10:00:53.000Z

src/footprint/azext_footprint/tests/latest/test_footprint_scenario.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

4,061

2017-10-27T23:19:56.000Z

2022-03-31T23:18:30.000Z

src/footprint/azext_footprint/tests/latest/test_footprint_scenario.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

802

2017-10-11T17:36:26.000Z

2022-03-31T22:24:32.000Z

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- import os from azure.cli.testsdk import ScenarioTest from .. import try_manual, raise_if, calc_coverage from azure.cli.testsdk import ResourceGroupPreparer TEST_DIR = os.path.abspath(os.path.join(os.path.abspath(__file__), '..')) @try_manual def setup(test, rg): pass # EXAMPLE: /profiles/put/Create or update a Footprint profile. @try_manual def step__profiles_put_create_or_update_a_footprint_profile_(test, rg): test.cmd('az footprint profile create ' '--location "westus2" ' '--measurement-count 3 ' '--start-delay-ms 5000 ' '--tags key1="value1" key2="value2" ' '--name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /profiles/get/Get the details of a Footprint profile. @try_manual def step__profiles_get_get_the_details_of_a_footprint_profile_(test, rg): test.cmd('az footprint profile show ' '--name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /profiles/get/List all Footprint profiles under a Resource Group. @try_manual def step__profiles_get_list_all_footprint_profiles_under_a_resource_group_(test, rg): test.cmd('az footprint profile list ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /profiles/get/List all Footprint profiles under a subscription. @try_manual def step__profiles_get_list_all_footprint_profiles_under_a_subscription_(test, rg): test.cmd('az footprint profile list ' '-g ""', checks=[]) # EXAMPLE: /profiles/patch/Update a Footprint profile. @try_manual def step__profiles_patch_update_a_footprint_profile_(test, rg): test.cmd('az footprint profile update ' '--tags key1="value1" key2="value2" ' '--name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /experiments/put/Create or update an experiment. @try_manual def step__experiments_put_create_or_update_an_experiment_(test, rg): test.cmd('az footprint experiment create ' '--name "{myExperiment}" ' '--description "An experiment description." ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /experiments/get/Get the details of an experiment. @try_manual def step__experiments_get_get_the_details_of_an_experiment_(test, rg): test.cmd('az footprint experiment show ' '--name "{myExperiment}" ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /experiments/get/List all experiments under a Footprint profile. @try_manual def step__experiments_get_list_all_experiments_under_a_footprint_profile_(test, rg): test.cmd('az footprint experiment list ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /measurementEndpoints/put/Create or update a measurement endpoint. @try_manual def step__measurementendpoints_put_create_or_update_a_measurement_endpoint_(test, rg): test.cmd('az footprint measurement-endpoint create ' '--name "{myMeasurementEndpoint}" ' '--endpoint "www.contoso.com" ' '--experiment-id "664cdec4f07d4e1083c9b3969ee2c49b" ' '--measurement-type 2 ' '--object-path "/trans.gif" ' '--weight 10 ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /measurementEndpoints/get/Get the details of a measurement endpoint. @try_manual def step__measurementendpoints_get_get_the_details_of_a_measurement_endpoint_(test, rg): test.cmd('az footprint measurement-endpoint show ' '--name "{myMeasurementEndpoint}" ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /measurementEndpoints/get/List all the measurement endpoints under a Footprint profile. @try_manual def step__measurementendpoints_get_list_all_the_measurement_endpoints_under_a_footprint_profile_(test, rg): test.cmd('az footprint measurement-endpoint list ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /measurementEndpointConditions/put/Create or update a measurement endpoint condition. @try_manual def step__measurementendpointconditions_put_create_or_update_a_measurement_endpoint_condition_(test, rg): test.cmd('az footprint measurement-endpoint-condition create ' '--name "condition0" ' '--endpoint-name "{myMeasurementEndpoint}" ' '--constant "Edge-Prod-WST" ' '--operator "MatchValueIgnoreCasing" ' '--variable "X-FD-EdgeEnvironment" ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /measurementEndpointConditions/get/Get the details of a measurement endpoint condition. @try_manual def step__measurementendpointconditions_get_get_the_details_of_a_measurement_endpoint_condition_(test, rg): test.cmd('az footprint measurement-endpoint-condition show ' '--name "condition0" ' '--endpoint-name "{myMeasurementEndpoint}" ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /measurementEndpointConditions/get/List all conditions under a measurement endpoint. @try_manual def step__measurementendpointconditions_get_list_all_conditions_under_a_measurement_endpoint_(test, rg): test.cmd('az footprint measurement-endpoint-condition list ' '--endpoint-name "{myMeasurementEndpoint}" ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /measurementEndpointConditions/delete/Delete a measurement endpoint condition. @try_manual def step__measurementendpointconditions_delete_delete_a_measurement_endpoint_condition_(test, rg): test.cmd('az footprint measurement-endpoint-condition delete -y ' '--name "condition0" ' '--endpoint-name "{myMeasurementEndpoint}" ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /experiments/delete/Delete an experiment. @try_manual def step__experiments_delete_delete_an_experiment_(test, rg): test.cmd('az footprint experiment delete -y ' '--name "{myExperiment}" ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /measurementEndpoints/delete/Delete a measurement endpoint. @try_manual def step__measurementendpoints_delete_delete_a_measurement_endpoint_(test, rg): test.cmd('az footprint measurement-endpoint delete -y ' '--name "{myMeasurementEndpoint}" ' '--profile-name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) # EXAMPLE: /profiles/delete/Delete a Footprint profile. @try_manual def step__profiles_delete_delete_a_footprint_profile_(test, rg): test.cmd('az footprint profile delete -y ' '--name "{myProfile}" ' '--resource-group "{rg}"', checks=[]) @try_manual def cleanup(test, rg): pass @try_manual def call_scenario(test, rg): setup(test, rg) step__profiles_put_create_or_update_a_footprint_profile_(test, rg) step__profiles_get_get_the_details_of_a_footprint_profile_(test, rg) step__profiles_get_list_all_footprint_profiles_under_a_resource_group_(test, rg) step__profiles_get_list_all_footprint_profiles_under_a_subscription_(test, rg) step__profiles_patch_update_a_footprint_profile_(test, rg) step__experiments_put_create_or_update_an_experiment_(test, rg) step__experiments_get_get_the_details_of_an_experiment_(test, rg) step__experiments_get_list_all_experiments_under_a_footprint_profile_(test, rg) step__measurementendpoints_put_create_or_update_a_measurement_endpoint_(test, rg) step__measurementendpoints_get_get_the_details_of_a_measurement_endpoint_(test, rg) step__measurementendpoints_get_list_all_the_measurement_endpoints_under_a_footprint_profile_(test, rg) step__measurementendpointconditions_put_create_or_update_a_measurement_endpoint_condition_(test, rg) step__measurementendpointconditions_get_get_the_details_of_a_measurement_endpoint_condition_(test, rg) step__measurementendpointconditions_get_list_all_conditions_under_a_measurement_endpoint_(test, rg) step__measurementendpointconditions_delete_delete_a_measurement_endpoint_condition_(test, rg) step__experiments_delete_delete_an_experiment_(test, rg) step__measurementendpoints_delete_delete_a_measurement_endpoint_(test, rg) step__profiles_delete_delete_a_footprint_profile_(test, rg) cleanup(test, rg) @try_manual class FootprintMonitoringManagementClientScenarioTest(ScenarioTest): @ResourceGroupPreparer(name_prefix='clitestfootprint_rgName'[:7], key='rg', parameter_name='rg') def test_footprint(self, rg): self.kwargs.update({ 'myProfile': self.create_random_name(prefix='fpProfile1'[:5], length=10), 'myMeasurementEndpoint': self.create_random_name(prefix='endpoint1'[:4], length=9), 'myExperiment': self.create_random_name(prefix='fpExp1'[:2], length=9), }) call_scenario(self, rg) calc_coverage(__file__) raise_if()

39.453125

107

0.683267

1,103

10,100

5.883046

0.142339

0.03791

0.038835

0.044383

0.815996

0.787178

0.776237

0.759131

0.701803

0.564186

0

0.006152

0.195248

10,100

255

108

39.607843

0.7922

0.173762

0

0.516854

0

0.287604

0.050379

0

1

0.123596

false

0.011236

0.022472

0

0.151685

0.207865

0

null

0

1

0

null

0

5

655d33076ebef068d4efd9a513cb0ebe370e7044

103

py

Python

kytos/utils/exceptions.py

josemauro/kytos-utils

03014ab0960fae31892dda2759de1372d50a1b2d

[ "MIT" ]

3

2017-05-11T18:18:47.000Z

2021-11-16T11:37:01.000Z

kytos/utils/exceptions.py

josemauro/kytos-utils

03014ab0960fae31892dda2759de1372d50a1b2d

[ "MIT" ]

154

2017-02-02T21:48:08.000Z

2021-04-29T20:19:58.000Z

kytos/utils/exceptions.py

josemauro/kytos-utils

03014ab0960fae31892dda2759de1372d50a1b2d

[ "MIT" ]

32

2017-02-17T18:15:15.000Z

2022-02-16T23:28:15.000Z

"""Kytos utils exceptions.""" class KytosException(Exception): """Kytos utils main exception."""

17.166667

37

0.68932

10

103

7.1

0.7

0.28169

0

0.145631

103

5

38

20.6

0.806818

0.495146

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

6578b6bc1c78e27ace6f5fcd0ef737987c0d1355

2,199

py

Python

amrMusic.py

HeyImTG/Amazing-Mirror-Randomizer

11d846308b7ab3b40cfe1365676eb57a1c938e3c

[ "MIT" ]

12

2019-06-05T16:02:13.000Z

2022-02-09T22:19:52.000Z

amrMusic.py

Unovamata/Amazing-Mirror-Randomizer

4504cdffda39561322af452f2465766aa021bbf9

[ "MIT" ]

1

2020-09-20T22:30:26.000Z

amrMusic.py

Unovamata/Amazing-Mirror-Randomizer

4504cdffda39561322af452f2465766aa021bbf9

[ "MIT" ]

3

2020-08-06T17:21:07.000Z

2021-11-07T22:20:02.000Z

#This script randomizes the game's music. #Music is randomized into two different groups: looped and non-looped. You don't want to get the victory dance theme as your Olive Ocean music... import sys import os import random #================================================== def writeMusicToROM(romFile,musicList,musicAdd): for x in range(len(musicList)): romFile.seek(musicAdd[x]) romFile.write(musicList[x].to_bytes(4,'big')) def randomizeMusic(romFile,randomMode): print("Randomizing music...") #First shuffle the looped music. if randomMode == "Shuffle Music": musicLoopedList = [1422774280, 4107259912, 2362888200, 1155321864, 1357172744, 3975008264, 1090244616, 3422802184, 3288977672, 3692286216, 3223703816, 137548040, 808898824, 2957168904, 3830436104, 677302536, 1752027400, 679334152, 3766735112, 1820971272, 277795080, 1620168968, 1016320264, 3969437960, 2158153992, 3770011912, 2830749960, 1891422472] else: musicLoopedList = [1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608, 1080537608] musicLoopedAdd = [11686888, 11686896, 11686904, 11686912, 11686920, 11686928, 11686936, 11686944, 11686952, 11686960, 11686968, 11686976, 11686984, 11686992, 11687000, 11687008, 11687016, 11687024, 11687048, 11687072, 11687080, 11687088, 11687096, 11687104, 11687112, 11687160, 11687176, 11687184] random.shuffle(musicLoopedList) writeMusicToROM(romFile,musicLoopedList,musicLoopedAdd) #Then shuffle the non-looped music. if randomMode == "Shuffle Music": musicNonloopedList = [2222903560, 1618989320, 75944200, 948424968, 614846728, 78106888, 3634876680, 2024329480, 1219088648, 3770077448] musicNonloopedAdd = [11687032, 11687040, 11687056, 11687064, 11687120, 11687128, 11687136, 11687144, 11687152, 11687168] random.shuffle(musicNonloopedList) writeMusicToROM(romFile,musicNonloopedList,musicNonloopedAdd) #==================================================

70.935484

357

0.752615

212

2,199

7.801887

0.650943

0.326481

0.471584

0.604595

0.211608

0.169287

0

0.489482

0.113688

2,199

31

358

70.935484

0.359159

0.158709

0

0.095238

0

0.026997

0

1

0.095238

false

0

0.142857

0

0.238095

0.047619

0

null

1

0

1

0

1

0

null

0

5

02d96e7f5aa396219fa8bdaf698d3c1f0d761d2c

126

py

Python

0x04-python-more_data_structures/101-square_matrix_map.py

BennettDixon/holbertonschool-higher_level_programming

3fbcd5e009548aab5539ce8610b4113f005964c4

[ "MIT" ]

1

2022-02-07T12:13:18.000Z

0x04-python-more_data_structures/101-square_matrix_map.py

BennettDixon/holbertonschool-higher_level_programming

3fbcd5e009548aab5539ce8610b4113f005964c4

[ "MIT" ]

null

0x04-python-more_data_structures/101-square_matrix_map.py

BennettDixon/holbertonschool-higher_level_programming

3fbcd5e009548aab5539ce8610b4113f005964c4

[ "MIT" ]

1

2021-12-06T18:15:54.000Z

#!/usr/bin/python3 def square_matrix_map(matrix=[]): return list(map(lambda row: list(map(lambda x: x**2, row)), matrix))

31.5

72

0.68254

21

126

4

0.619048

0.166667

0.309524

0

0.018018

0.119048

126

3

73

42

0.738739

0.134921

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

02df598643dbcd254f20b9cf858ff8710fe2eee5

22

py

Python

Python/Hello India.py

kennethsequeira/Hello-world

464227bc7d9778a4a2a4044fe415a629003ea77f

[ "MIT" ]

2

2020-05-14T16:13:14.000Z

2020-05-14T16:13:19.000Z

Python/Hello India.py

kennethsequeira/Hello-world

464227bc7d9778a4a2a4044fe415a629003ea77f

[ "MIT" ]

5

2018-10-27T16:54:11.000Z

2018-10-27T17:04:37.000Z

Python/Hello India.py

kennethsequeira/Hello-world

464227bc7d9778a4a2a4044fe415a629003ea77f

[ "MIT" ]

7

2019-09-11T07:17:32.000Z

2019-09-25T12:23:52.000Z

print("Hello! India")

11

21

0.681818

3

22

5

1

0

0.090909

22

1

22

0.75

0

0.545455

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

02efca95b611d2d83746f5e03b7e4417b7a4fb51

2,337

py

Python

examples/gaussian/functions/model.py

lsawade/nnodes

0f5caf672da138104039ed85a224cc4067e95da1

[ "MIT" ]

null

examples/gaussian/functions/model.py

lsawade/nnodes

0f5caf672da138104039ed85a224cc4067e95da1

[ "MIT" ]

null

examples/gaussian/functions/model.py

lsawade/nnodes

0f5caf672da138104039ed85a224cc4067e95da1

[ "MIT" ]

null

import os import numpy as np def write_model(m, outdir, it, ls=None): """Takes in model vector, modldirectory, iteration and linesearch number and write model to modl directory. Parameters ---------- m : ndarray modelvector modldir : str model directory it : int iteration number ls : int, optional linesearch number """ # Get dir modldir = os.path.join(outdir, 'modl') # Create filename that contains both iteration and linesearch number if ls is not None: fname = f"m_it{it:05d}_ls{ls:05d}.npy" else: fname = f"m_it{it:05d}.npy" file = os.path.join(modldir, fname) np.save(file, m) def read_model(outdir, it, ls=None): """Reads model vector Parameters ---------- modldir : str model directory it : int iteration number ls : int, optional linesearch number Returns ------- ndarray model vector """ # Get dir modldir = os.path.join(outdir, 'modl') if ls is not None: fname = f"m_it{it:05d}_ls{ls:05d}.npy" else: fname = f"m_it{it:05d}.npy" file = os.path.join(modldir, fname) m = np.load(file) return m def write_scaling(s, outdir): # Write scaling to metadir metadir = os.path.join(outdir, 'meta') # Create filename that contains both iteration and linesearch number file = os.path.join(metadir, "scaling.npy") np.save(file, s) def read_scaling(outdir): # Write scaling to metadir metadir = os.path.join(outdir, 'meta') # Create filename that contains both iteration and linesearch number file = os.path.join(metadir, "scaling.npy") # Return the scaling vector return np.load(file) def write_names(mnames, outdir): # Write scaling to metadir metadir = os.path.join(outdir, 'meta') # Create filename that contains both iteration and linesearch number file = os.path.join(metadir, "model_names.npy") np.save(file, mnames) def read_names(outdir): # Write scaling to metadir metadir = os.path.join(outdir, 'meta') # Create filename that contains both iteration and linesearch number file = os.path.join(metadir, "model_names.npy") # Return the scaling vector return np.load(file)

21.638889

76

0.627728

315

2,337

4.612698

0.196825

0.049553

0.082588

0.115623

0.751549

0.706125

0.613902

0

0.007001

0.266581

2,337

107

77

21.841122

0.840723

0.407788

0

0.628571

0

0.128674

0.042891

0

1

0.171429

false

0

0.057143

0

0.314286

0

null

0

1

0

null

0

5

b83a2e9fa37fff5a7f2a2f7c7fe38e6b79bf6c91

3,594

py

Python

libica/openapi/libtes/__init__.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

null

libica/openapi/libtes/__init__.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

4

2021-11-15T10:47:51.000Z

2022-02-22T04:43:20.000Z

libica/openapi/libtes/__init__.py

umccr-illumina/libica

916d27eea499f29bee590268b84208effb0cc576

[ "MIT" ]

null

# coding: utf-8 # flake8: noqa """ Task Execution Service No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v1 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import __version__ = "1.0.0" # import apis into sdk package from libica.openapi.libtes.api.task_runs_api import TaskRunsApi from libica.openapi.libtes.api.task_versions_api import TaskVersionsApi from libica.openapi.libtes.api.tasks_api import TasksApi # import ApiClient from libica.openapi.libtes.api_client import ApiClient from libica.openapi.libtes.configuration import Configuration from libica.openapi.libtes.exceptions import OpenApiException from libica.openapi.libtes.exceptions import ApiTypeError from libica.openapi.libtes.exceptions import ApiValueError from libica.openapi.libtes.exceptions import ApiKeyError from libica.openapi.libtes.exceptions import ApiException # import models into sdk package from libica.openapi.libtes.models.container_state import ContainerState from libica.openapi.libtes.models.container_state_running import ContainerStateRunning from libica.openapi.libtes.models.container_state_terminated import ContainerStateTerminated from libica.openapi.libtes.models.container_state_waiting import ContainerStateWaiting from libica.openapi.libtes.models.container_status import ContainerStatus from libica.openapi.libtes.models.create_task_request import CreateTaskRequest from libica.openapi.libtes.models.create_task_run_request import CreateTaskRunRequest from libica.openapi.libtes.models.create_task_version_request import CreateTaskVersionRequest from libica.openapi.libtes.models.credentials import Credentials from libica.openapi.libtes.models.environment import Environment from libica.openapi.libtes.models.error_response import ErrorResponse from libica.openapi.libtes.models.execution import Execution from libica.openapi.libtes.models.heartbeat_task_run_request import HeartbeatTaskRunRequest from libica.openapi.libtes.models.image import Image from libica.openapi.libtes.models.input_mount_mapping_with_creds import InputMountMappingWithCreds from libica.openapi.libtes.models.input_stream_settings import InputStreamSettings from libica.openapi.libtes.models.launch_task_request import LaunchTaskRequest from libica.openapi.libtes.models.mount_mapping_with_creds import MountMappingWithCreds from libica.openapi.libtes.models.resources import Resources from libica.openapi.libtes.models.system_files import SystemFiles from libica.openapi.libtes.models.task import Task from libica.openapi.libtes.models.task_run import TaskRun from libica.openapi.libtes.models.task_run_heartbeat import TaskRunHeartbeat from libica.openapi.libtes.models.task_run_logs import TaskRunLogs from libica.openapi.libtes.models.task_run_summary import TaskRunSummary from libica.openapi.libtes.models.task_run_summary_paged_items import TaskRunSummaryPagedItems from libica.openapi.libtes.models.task_summary import TaskSummary from libica.openapi.libtes.models.task_summary_paged_items import TaskSummaryPagedItems from libica.openapi.libtes.models.task_version import TaskVersion from libica.openapi.libtes.models.task_version_summary import TaskVersionSummary from libica.openapi.libtes.models.task_version_summary_paged_items import TaskVersionSummaryPagedItems from libica.openapi.libtes.models.update_task_request import UpdateTaskRequest from libica.openapi.libtes.models.update_task_version_request import UpdateTaskVersionRequest

53.641791

124

0.8734

459

3,594

6.67756

0.246187

0.140294

0.238499

0.322675

0.537031

0.415334

0.269494

0.058728

0

0.002694

0.070395

3,594

66

125

54.454545

0.914696

0.093211

0

1

0

0.001548

0

1

0

false

0

0.977778

0

0.977778

0

null

0

1

0

1

0

null

0

1

0

1

0

5

b85b3a7e2a373044c37fb54b06a34be6c6df6e8c

59

py

Python

lib/toute/utils/__init__.py

luiscastilho/toute

56207d3d92b8bc1066e115c285cf79f96be3e249

[ "MIT" ]

3

2021-01-04T02:12:33.000Z

2021-09-22T14:41:39.000Z

lib/toute/utils/__init__.py

luiscastilho/toute

56207d3d92b8bc1066e115c285cf79f96be3e249

[ "MIT" ]

6

2020-08-04T22:34:12.000Z

2020-10-10T12:40:14.000Z

lib/toute/utils/__init__.py

luiscastilho/toute

56207d3d92b8bc1066e115c285cf79f96be3e249

[ "MIT" ]

1

2020-08-04T21:59:43.000Z

from toute.utils.validation import validate_client # noqa

29.5

58

0.830508

8

59

6

1

0

0.118644

59

1

59

0.923077

0.067797

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b8602a0f1b52472cc7d96f538f65173b01180151

99

py

Python

day2/strings.py

anishLearnsToCode/python-workshop-4

d34c312d17c0d4194b2a1d269b8c0e2a56a04699

[ "MIT" ]

4

2020-07-15T13:47:10.000Z

2021-09-15T20:28:50.000Z

day2/strings.py

anishLearnsToCode/python-workshop-4

d34c312d17c0d4194b2a1d269b8c0e2a56a04699

[ "MIT" ]

null

day2/strings.py

anishLearnsToCode/python-workshop-4

d34c312d17c0d4194b2a1d269b8c0e2a56a04699

[ "MIT" ]

2

2020-07-18T03:28:03.000Z

2020-11-01T00:56:02.000Z

""" Strings are immutable range object is immutable tuple is immutable lists are not immutable """

14.142857

25

0.777778

14

99

5.5

0.642857

0.285714

0

0.161616

99

7

26

14.142857

0.927711

0.919192

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

b87e95a6fc0694a8580cdde5cbe6465d4027e862

1,107

py

Python

tests/test_mediainfo.py

ratoaq2/knowit

e7cc0d786fafdb9dba99b95a1cc95c02f84f0b5b

[ "MIT" ]

21

2016-10-15T13:49:16.000Z

2021-06-14T14:42:57.000Z

tests/test_mediainfo.py

ratoaq2/knowit

e7cc0d786fafdb9dba99b95a1cc95c02f84f0b5b

[ "MIT" ]

35

2016-11-18T17:08:38.000Z

2021-11-26T09:36:35.000Z

tests/test_mediainfo.py

ratoaq2/knowit

e7cc0d786fafdb9dba99b95a1cc95c02f84f0b5b

[ "MIT" ]

5

2016-11-23T23:39:52.000Z

2021-02-27T19:18:27.000Z

import pytest from tests import mediafiles from knowit import know from . import assert_expected, id_func @pytest.mark.parametrize('media', mediafiles.get_json_media('mediainfo'), ids=id_func) def test_mediainfo_provider(mediainfo, media, options): # Given mediainfo[media.video_path] = media.input_data # When actual = know(media.video_path, options) # Then assert_expected(media.expected_data, actual, options) @pytest.mark.parametrize('media', mediafiles.get_real_media('mediainfo'), ids=id_func) def test_mediainfo_provider_real_media(media, options): # Given options['provider'] = 'mediainfo' # When actual = know(media.video_path, options) # Then assert_expected(media.expected_data, actual, options) @pytest.mark.parametrize('media', mediafiles.get_real_media('mediainfo'), ids=id_func) def test_mediainfo_provider_real_media_cli(mediainfo_cli, media, options): # Given options['provider'] = 'mediainfo' # When actual = know(media.video_path, options) # Then assert_expected(media.expected_data, actual, options)

25.159091

86

0.738934

139

1,107

5.640288

0.230216

0.071429

0.09949

0.784439

0.734694

0.674745

0

0.153568

1,107

43

87

25.744186

0.836713

0.042457

0

0.526316

0

0.07245

0

0.210526

1

0.157895

false

0

0.210526

0

0.368421

0

null

0

1

0

null

0

5

b89960c5facd01658fe0f449edb10d527791d375

3,998

py

Python

notebooks/tests/test_utils.py

grchristensen/avpd

f7617844ae454a93825aa231e04c125cb4e58a20

[ "Apache-2.0" ]

null

notebooks/tests/test_utils.py

grchristensen/avpd

f7617844ae454a93825aa231e04c125cb4e58a20

[ "Apache-2.0" ]

9

2021-03-04T20:29:54.000Z

2021-03-31T22:03:51.000Z

notebooks/tests/test_utils.py

grchristensen/avpd

f7617844ae454a93825aa231e04c125cb4e58a20

[ "Apache-2.0" ]

3

2021-01-30T02:19:07.000Z

2021-04-11T19:48:37.000Z

import pytest import pandas as pd from notebooks import utils from tests import tutils # TODO: Edge cases. # TODO: Error conditons (good error reporting when not enough texts are available). # class TestExtractAuthorTexts: # example_dataframe = pd.DataFrame( # [ # [1.0, 2.0], # [2.0, 3.0], # [1.0, 2.0], # [3.0, 4.0], # [5.0, 6.0], # [1.0, 2.0], # [3.0, 4.0], # [1.0, 2.0], # [3.0, 4.0], # [1.0, 2.0], # ], # index=pd.MultiIndex.from_tuples( # [ # (7, 0, 0), # (7, 0, 1), # (7, 1, 0), # (7, 1, 1), # (7, 1, 2), # (13, 0, 0), # (13, 0, 1), # (13, 1, 0), # (13, 1, 1), # (13, 2, 0), # ], # names=["author", "text_id", "sentence_id"], # ), # ) # # authors = [7, 13] # # dataframes = [ # example_dataframe.copy(), # example_dataframe.copy(), # ] # # text_counts = [1, 2] # # expected_author_text_sets = [ # pd.DataFrame( # [ # [1.0, 2.0], # [2.0, 3.0], # ], # index=pd.MultiIndex.from_tuples( # [ # (7, 0, 0), # (7, 0, 1), # ], # names=["author", "text_id", "sentence_id"], # ), # ), # pd.DataFrame( # [ # [1.0, 2.0], # [3.0, 4.0], # ], # index=pd.MultiIndex.from_tuples( # [ # (8, 0, 0), # (8, 0, 1), # ], # names=["author", "text_id", "sentence_id"], # ), # ), # ] # # expected_dataframes = [ # pd.DataFrame( # [ # [1.0, 2.0], # [3.0, 4.0], # [5.0, 6.0], # [1.0, 2.0], # [3.0, 4.0], # [1.0, 2.0], # [3.0, 4.0], # [1.0, 2.0], # ], # index=pd.MultiIndex.from_tuples( # [ # (7, 1, 0), # (7, 1, 1), # (7, 1, 2), # (13, 0, 0), # (13, 0, 1), # (13, 1, 0), # (13, 1, 1), # (13, 2, 0), # ], # names=["author", "text_id", "sentence_id"], # ), # ), # pd.DataFrame( # [ # [1.0, 2.0], # [2.0, 3.0], # [1.0, 2.0], # [3.0, 4.0], # [5.0, 6.0], # [1.0, 2.0], # [3.0, 4.0], # [1.0, 2.0], # ], # index=pd.MultiIndex.from_tuples( # [ # (7, 0, 0), # (7, 0, 1), # (7, 1, 0), # (7, 1, 1), # (7, 1, 2), # (13, 1, 0), # (13, 1, 1), # (13, 2, 0), # ], # names=["author", "text_id", "sentence_id"], # ), # ), # ] # # @pytest.mark.parametrize( # "author, df, expected_author_texts, expected_dataframe", # zip(authors, dataframes, expected_author_text_sets, expected_dataframes), # ) # def test_extract_author_tests_should_return_author_texts( # self, author, df, expected_author_texts, expected_dataframe # ): # author_texts, df = utils.extract_author_texts(author, df) # # assert tutils.npequal(author_texts, expected_author_texts) # assert tutils.npequal(df, expected_dataframe)

28.15493

83

0.313657

387

3,998

3.118863

0.162791

0.034797

0.044739

0.04971

0.523612

0.501243

0.428335

0.404308

0

0.118196

0.517509

3,998

141

84

28.35461

0.507517

0.909955

0

0.007092

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

b8a1fdd59db1f30bc4f3a569840daf7ce7d45399

260

py

Python

UserServer/login/login_authentication_utility.py

cxiaolong/XboxBackend

d42033c73d29a8ba43e359b32020fa55d1740da1

[ "MIT" ]

null

UserServer/login/login_authentication_utility.py

cxiaolong/XboxBackend

d42033c73d29a8ba43e359b32020fa55d1740da1

[ "MIT" ]

null

UserServer/login/login_authentication_utility.py

cxiaolong/XboxBackend

d42033c73d29a8ba43e359b32020fa55d1740da1

[ "MIT" ]

null

from flask import abort, g # def authentication(func): # def wrapper(*args, **kwargs): # if g.username == 'admin' and g.password == '123': # return func(*args, **kwargs) # else: # abort(401) # # return wrapper

21.666667

59

0.530769

29

260

4.758621

0.689655

0.144928

0

0.033898

0.319231

260

11

60

23.636364

0.745763

0.823077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b215ef73b41cc135eee5608b48ed1436b0b61cf3

1,015

py

Python

airSim_exp.py

FaisalAhmed0/gym-airsim

3cb7525699a0f1a12224701b0a5c1f172c0109f9

[ "MIT" ]

null

airSim_exp.py

FaisalAhmed0/gym-airsim

3cb7525699a0f1a12224701b0a5c1f172c0109f9

[ "MIT" ]

null

airSim_exp.py

FaisalAhmed0/gym-airsim

3cb7525699a0f1a12224701b0a5c1f172c0109f9

[ "MIT" ]

null

from spinup import ppo_pytorch as ppo import torch import gym import gym_airsim # Check this, it may not work def envFunc(): env = gym.make('airsim_gym-v0') return env # Setup the environment function and hyperparameters env_fn = envFunc ac_kwargs = dict(hidden_sizes=[64, 64]) logger_kwargs = dict(output_dir='/home/isra/Documents/airsim_exp_results_random_seed_0',exp_name='random_goals') ppo(env_fn=envFunc, ac_kwargs=ac_kwargs, seed= 0 ,max_ep_len=500, steps_per_epoch=4000, epochs=250, logger_kwargs=logger_kwargs) logger_kwargs = dict(output_dir='/home/isra/Documents/airsim_exp_results_random_seed_5',exp_name='random_goals') ppo(env_fn=envFunc, ac_kwargs=ac_kwargs, seed= 5 ,max_ep_len=500, steps_per_epoch=4000, epochs=250, logger_kwargs=logger_kwargs) logger_kwargs = dict(output_dir='/home/isra/Documents/airsim_exp_results_random_seed_10',exp_name='random_goals') ppo(env_fn=envFunc, ac_kwargs=ac_kwargs, seed= 10 ,max_ep_len=500, steps_per_epoch=4000, epochs=250, logger_kwargs=logger_kwargs)

44.130435

129

0.812808

172

1,015

4.447674

0.343023

0.141176

0.117647

0.156863

0.739869

0.713725

0

0.046088

0.080788

1,015

22

130

46.136364

0.773848

0.077833

0

0.22449

0.171858

0

1

0.066667

false

0

0.266667

0

0.4

0

null

0

1

0

null

0

5

b267af904e8fb18d54f84df93f35d2b6dff6d376

155

py

Python

scenarios/callback_show/executable.py

timgates42/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

12

2015-04-12T06:18:33.000Z

2021-03-03T23:54:19.000Z

scenarios/callback_show/executable.py

timgates42/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

1

2021-11-24T20:10:19.000Z

scenarios/callback_show/executable.py

timgates42/balanced-python

1df86b45c36a97ec2e214480c6806c4df3c79860

[ "MIT" ]

14

2015-03-23T17:52:06.000Z

2021-11-24T11:04:15.000Z

import balanced balanced.configure('ak-test-2eKlj1ZDfAcZSARMf3NMhBHywDej0avSY') callback = balanced.Callback.fetch('/callbacks/CB4a7Q7HSdJJgMVHwPsarIw8')

31

73

0.851613

13

155

10.153846

0.769231

0

0.054054

0.045161

155

5

73

31

0.837838

0

0.487179

0

1

0

false

0

0.333333

0

0.333333

0

1

0

1

null

0

1

0

1

null

0

1

0

5

b27e84d2b7da219fd21ca53a8cabaeb5ab3db0c1

1,183

py

Python

Inhyuk/Stack/python/2504.py

lee20h/ALPS_2020_Summer_Study

3656d5c6ab44f7f43c1f8c691e75352495c76adc

[ "Apache-2.0" ]

1

2020-08-02T14:30:03.000Z

Inhyuk/Stack/python/2504.py

alps-jbnu/ALPS_2020_Summer_Study

3656d5c6ab44f7f43c1f8c691e75352495c76adc

[ "Apache-2.0" ]

null

Inhyuk/Stack/python/2504.py

alps-jbnu/ALPS_2020_Summer_Study

3656d5c6ab44f7f43c1f8c691e75352495c76adc

[ "Apache-2.0" ]

2

2020-07-09T14:53:29.000Z

2020-07-17T10:39:00.000Z

A = list(input()) stack = [] flag = False for ch in A: if ch == '(': stack.append('(') elif ch == ')': if not '(' in stack: flag = True break elif stack[-1] == '(': stack.pop() stack.append(2) elif isinstance(stack[-1], int): temp = stack.pop() while isinstance(stack[-1], int): temp += stack.pop() if stack[-1] == '(': stack.pop() stack.append(2*temp) elif ch == '[': stack.append('[') elif ch == ']': if not '[' in stack: flag = True break elif stack[-1] == '[': stack.pop() stack.append(3) elif isinstance(stack[-1], int): temp = stack.pop() while isinstance(stack[-1], int): temp += stack.pop() if stack[-1] == '[': stack.pop() stack.append(3*temp) if flag or '(' in stack or '[' in stack: print(0) else: ans = stack.pop() while stack: ans += stack.pop() print(ans)

26.288889

46

0.393914

123

1,183

3.788618

0.227642

0.171674

0.094421

0.120172

0.742489

0.733906

0

0.019939

0.448859

1,183

44

47

26.886364

0.694785

0

0.372093

0

0.012291

0

1

0

false

0

0.046512

0

null

0

1

0

null

0

5

a22d294c3753b08fb0f88c1f6e879785f30caf3d

88

py

Python

ontology/logistic_regression/sherlock/listify_circuits_k40_forward.py

ehbeam/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

15

2020-07-17T07:10:26.000Z

2022-02-18T05:51:45.000Z

ontology/neural_network/sherlock/listify_circuits_k40_forward.py

YifeiCAO/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

2

2022-01-14T09:10:12.000Z

2022-01-28T17:32:42.000Z

ontology/neural_network/sherlock/listify_circuits_k40_forward.py

YifeiCAO/neuro-knowledge-engine

9dc56ade0bbbd8d14f0660774f787c3f46d7e632

[ "MIT" ]

4

2021-12-22T13:27:32.000Z

2022-02-18T05:51:47.000Z

#!/bin/python import listify_circuits listify_circuits.optimize_circuits(40, 'forward')

22

49

0.829545

11

88

6.363636

0.727273

0.428571

0

0.024096

0.056818

88

4

49

22

0.819277

0.136364

0

0.092105

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a2b17fab0e9cf1ab19273979e9f4d2479f2f2f4a

112

py

Python

test.py

bigmingyu/Git_GUI_Tutorial

cd77b75c2ccf490591c04fbf851f501713054955

[ "MIT" ]

null

test.py

bigmingyu/Git_GUI_Tutorial

cd77b75c2ccf490591c04fbf851f501713054955

[ "MIT" ]

null

test.py

bigmingyu/Git_GUI_Tutorial

cd77b75c2ccf490591c04fbf851f501713054955

[ "MIT" ]

null

a = 1 b = 2 print("Hello from GitHub") print("Hello from Local") print("This is nothing") print("Time to merge")

18.666667

26

0.6875

20

112

3.85

0.75

0.25974

0.363636

0

0.021053

0.151786

112

6

27

18.666667

0.789474

0

0.539823

0

1

0

false

0

0.666667

1

0

null

1

0

1

0

null

0

1

0

5

a2b3ea4abe65dd887b38e6b25985cff2d6aab5a8

121

py

Python

LearningAgent.py

SanjoSolutions/cfr

a82eadfa9d6577daa0e10316fcbeda66dc17e8bc

[ "Unlicense" ]

null

LearningAgent.py

SanjoSolutions/cfr

a82eadfa9d6577daa0e10316fcbeda66dc17e8bc

[ "Unlicense" ]

null

LearningAgent.py

SanjoSolutions/cfr

a82eadfa9d6577daa0e10316fcbeda66dc17e8bc

[ "Unlicense" ]

null

class LearningAgent: def choose_action(self, game): pass def receive_result(self, result): pass

17.285714

37

0.636364

14

121

5.357143

0.714286

0

0.289256

121

6

38

20.166667

0.872093

0

0.4

0

1

0.4

false

0.4

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a2d03f650de353e8effd56dec23241850adb7a08

1,228

py

Python

Bot/Tests/DiscordUtilityTest.py

Pyruths/DiscordRPbot

87d4235fbec060f5bbcfabb6f2202913612ce28c

[ "MIT" ]

null

Bot/Tests/DiscordUtilityTest.py

Pyruths/DiscordRPbot

87d4235fbec060f5bbcfabb6f2202913612ce28c

[ "MIT" ]

19

2018-06-21T10:51:13.000Z

2018-06-28T01:38:38.000Z

Bot/Tests/DiscordUtilityTest.py

Pyruths/DiscordRPbot

87d4235fbec060f5bbcfabb6f2202913612ce28c

[ "MIT" ]

null

import unittest from DiscordUtility import * """ Check validity of utility functions used """ class DiscordUtilityTest(unittest.TestCase): def test_mention_valid(self): self.assertEqual("133546464495403008", valid_id("<@133546464495403008>"), "Did not accept valid value") def test_mention_invalid(self): self.assertEqual(None, valid_id("<@13354646449adsf403008>"), "Did not reject non-numeric") def test_mention_not(self): self.assertEqual(None, valid_id("<133546464495403008"), "Did not reject non-mention") def test_mention_none(self): self.assertEqual(None,valid_id(None),"Did not reject None") def test_role_valid(self): self.assertEqual("133546464495403008",valid_role("<@&133546464495403008>"),"Did not accept valid value") def test_role_invalid(self): self.assertEqual(None,valid_role("<@&13354646449adsf403008>"),"Did not reject non-numeric") def test_role_not(self): self.assertEqual(None,valid_role("<133546464495403008"),"Did not reject non-mention") def test_role_none(self): self.assertEqual(None,valid_role(None),"Did not reject None") if __name__ == '__main__': unittest.main()

40.933333

113

0.705212

146

1,228

5.712329

0.239726

0.067146

0.182254

0.165468

0.769784

0.714628

0.345324

0

0.139626

0.171824

1,228

29

114

42.344828

0.680433

0

0.32

0.08

0

0.380952

1

0.380952

false

0

0.095238

0

0.52381

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a2d3bc094f52f8884c7cd9e05ffb09dacacea1ff

82

py

Python

MUDI_V1.00/scATACseq.py

yufanzhouonline/MUDI

f07a2b062bd8788574caace0d0d9137259dcf8e9

[ "MIT" ]

null

MUDI_V1.00/scATACseq.py

yufanzhouonline/MUDI

f07a2b062bd8788574caace0d0d9137259dcf8e9

[ "MIT" ]

null

MUDI_V1.00/scATACseq.py

yufanzhouonline/MUDI

f07a2b062bd8788574caace0d0d9137259dcf8e9

[ "MIT" ]

null

from ATACseq import * class scATACseq(ATACseq): def load(self): pass

13.666667

25

0.646341

10

82

5.3

0.9

0

0.268293

82

5

26

16.4

0.883333

0

1

0.25

false

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a2dbb5550fb39d2a5614118322982b47eb97a26a

125

py

Python

books/admin.py

devmedtz/sogea

54cf257856cae451ad87e2396b8e44a34c0c6daf

[ "MIT" ]

3

2021-04-08T12:50:40.000Z

2021-05-09T07:36:52.000Z

books/admin.py

devmedtz/sogea

54cf257856cae451ad87e2396b8e44a34c0c6daf

[ "MIT" ]

5

2021-06-05T00:07:57.000Z

2022-03-12T01:00:20.000Z

books/admin.py

devmedtz/sogea

54cf257856cae451ad87e2396b8e44a34c0c6daf

[ "MIT" ]

2

2021-04-07T15:17:46.000Z

2021-05-09T06:29:57.000Z

from django.contrib import admin from .models import Category, Book admin.site.register(Category) admin.site.register(Book)

20.833333

34

0.816

18

125

5.666667

0.555556

0.176471

0.333333

0

0.096

125

5

35

25

0.902655

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

0c0c0fdc5a76c9e7c8b59d49e103318e0744b063

79

py

Python

locale/pot/api/utilities/_autosummary/pyvista-Text3D-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

4

2020-08-07T08:19:19.000Z

2020-12-04T09:51:11.000Z

locale/pot/api/utilities/_autosummary/pyvista-Text3D-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

19

2020-08-06T00:24:30.000Z

2022-03-30T19:22:24.000Z

locale/pot/api/utilities/_autosummary/pyvista-Text3D-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

1

2021-03-09T07:50:40.000Z

import pyvista text_mesh = pyvista.Text3D('PyVista') text_mesh.plot(cpos='xy')

19.75

37

0.772152

12

79

4.916667

0.666667

0.372881

0.508475

0

0.013699

0.075949

79

3

38

26.333333

0.794521

0

0.113924

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

0c449ed5bf2b9f3fc31289dade1ccc8158475f85

244

py

Python

mock_functions/subdir/nested_module.py

tjdevries/easy_python_requirements

2bf905f34065637cbc781d17d8e5806892fb66d5

[ "MIT" ]

null

mock_functions/subdir/nested_module.py

tjdevries/easy_python_requirements

2bf905f34065637cbc781d17d8e5806892fb66d5

[ "MIT" ]

2

2016-07-01T13:47:43.000Z

2021-11-28T23:07:17.000Z

mock_functions/subdir/nested_module.py

tjdevries/easy_python_requirements

2bf905f34065637cbc781d17d8e5806892fb66d5

[ "MIT" ]

1

2021-11-28T21:50:41.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- class nestedClass: def nested_funct(self): """ TEST INFO: TEST DESCRIPTION BEGIN This is a nested module TEST DESCRIPTION END """ pass

17.428571

31

0.532787

27

244

4.777778

0.851852

0.232558

0

0.012903

0.364754

244

13

32

18.769231

0.819355

0.5

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

0c56b44b5dba116d125238b9021714cedfeca5bf

1,682

py

Python

src/tx/parallex/data.py

xu-hao/tx-paralax

4b1be3591e88c0df634a35be74a73872bff73caf

[ "MIT" ]

null

src/tx/parallex/data.py

xu-hao/tx-paralax

4b1be3591e88c0df634a35be74a73872bff73caf

[ "MIT" ]

null

src/tx/parallex/data.py

xu-hao/tx-paralax

4b1be3591e88c0df634a35be74a73872bff73caf

[ "MIT" ]

1

2020-05-02T15:50:15.000Z

from dataclasses import dataclass def _is(a, b): return a is b def _is_not(a, b): return a is not b def _eq(a, b): return a == b def _not_eq(a, b): return a != b def _lt(a, b): return a < b def _gt(a, b): return a > b def _lt_e(a, b): return a <= b def _gt_e(a, b): return a >= b def _in(a, b): return a in b def _not_in(a, b): return a not in b def _and(*a): return all(a) def _or(*a): return any(a) def _add(a, b): return a + b def _sub(a, b): return a - b def _mult(a, b): return a * b def _div(a, b): return a / b def _mod(a, b): return a % b def _floor_div(a, b): return a // b def _l_shift(a, b): return a << b def _r_shift(a, b): return a >> b def _bit_and(a, b): return a & b def _bit_or(a, b): return a | b def _bit_xor(a, b): return a ^ b def _mat_mult(a, b): return a @ b def _pow(a, b): return a ** b def _invert(a): return ~a def _not(a): return not a def _u_add(a): return +a def _u_sub(a): return -a def _if_exp(t,b,o): return b if t else o def _subscript(a, b): return a[b] @dataclass class Starred: def __init__(self, a): self.value = a def _starred(a): return Starred(a) def _list(*args): l = [] for arg in args: if isinstance(arg, Starred): l.extend(arg.value) else: l.append(arg) return l def _tuple(*args): return args def _dict(*args): n = int(len(args)/2) obj = {} for k, v in zip(args[:n], args[n:]): if k is None: obj.update(v) else: obj[k] = v return obj

13.349206

40

0.529727

311

1,682

2.691318

0.205788

0.105137

0.229391

0.258065

0.415771

0.351254

0.273596

0

0.000895

0.33591

1,682

125

41

13.456

0.748433

0

0.022727

0

1

0.409091

false

0

0.011364

0.375

0.829545

0

null

0

1

0

null

0

1

0

1

0

5

a7681bf8445a52a74c064220dcb3dbd920b25502

33

py

Python

src/pyutil.py

Sakurairihito/QCMaterialNew

d1698adf791c7b6587d8ca76f7678b1cb7a26135

[ "MIT" ]

4

2022-01-05T15:09:49.000Z

2022-03-29T07:33:53.000Z

src/pyutil.py

sakurairihito/QCMaterialNew

5281aed3d57bfeb832e1e72271fa2ebc560eeb40

[ "MIT" ]

null

src/pyutil.py

sakurairihito/QCMaterialNew

5281aed3d57bfeb832e1e72271fa2ebc560eeb40

[ "MIT" ]

null

def doublefunc(x): return 2*x

16.5

18

0.666667

6

33

3.666667

0.833333

0

0.038462

0.212121

33

2

19

16.5

0.807692

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a7aa0942f9925d1095802b70d153843175c8a046

802

py

Python

tests/test_utils.py

hiro-o918/openapi-python-client

5ea70ac68059010e36a3934b91a953b905ca0005

[ "MIT" ]

null

tests/test_utils.py

hiro-o918/openapi-python-client

5ea70ac68059010e36a3934b91a953b905ca0005

[ "MIT" ]

null

tests/test_utils.py

hiro-o918/openapi-python-client

5ea70ac68059010e36a3934b91a953b905ca0005

[ "MIT" ]

null

from openapi_python_client import utils def test_snake_case_uppercase_str(): assert utils.snake_case("HTTP") == "http" assert utils.snake_case("HTTP RESPONSE") == "http_response" def test_snake_case_from_pascal_with_acronyms(): assert utils.snake_case("HTTPResponse") == "http_response" assert utils.snake_case("APIClientHTTPResponse") == "api_client_http_response" assert utils.snake_case("OAuthClientHTTPResponse") == "o_auth_client_http_response" def test_snake_case_from_pascal(): assert utils.snake_case("HttpResponsePascalCase") == "http_response_pascal_case" def test_snake_case_from_camel(): assert utils.snake_case("httpResponseLowerCamel") == "http_response_lower_camel" def test_spinal_case(): assert utils.spinal_case("keep_alive") == "keep-alive"

32.08

87

0.779302

102

802

5.676471

0.303922

0.170984

0.193437

0.241796

0.35924

0.241796

0.131261

0

0.110973

802

24

88

33.416667

0.812062

0

0.334165

0.235661

0

0.571429

1

0.357143

true

0

0.071429

0

0.428571

0

null

0

1

0

null

0

1

0

1

0

5

a7ac9d8e9dd13f02c0b5738b0c35a2a6524fade0

237

py

Python

test_data/parse/expected/single_class/property/description/meta_model.py

gillistephan/aas-core-codegen

5b89ea2ee35aecaca9a1bed7ac81d420cc560f29

[ "MIT" ]

5

2021-12-29T12:55:34.000Z

2022-03-01T17:57:21.000Z

test_data/parse/expected/single_class/property/description/meta_model.py

gillistephan/aas-core-codegen

5b89ea2ee35aecaca9a1bed7ac81d420cc560f29

[ "MIT" ]

10

2021-12-29T02:15:55.000Z

2022-03-09T11:04:22.000Z

test_data/parse/expected/single_class/property/description/meta_model.py

gillistephan/aas-core-codegen

5b89ea2ee35aecaca9a1bed7ac81d420cc560f29

[ "MIT" ]

2

2021-12-29T01:42:12.000Z

2022-02-15T13:46:33.000Z

class Something: """Represent something.""" some_property: int """some property""" another_property: str yet_another_property: str """yet another property""" __book_url__ = "dummy" __book_version__ = "dummy"

15.8

30

0.666667

25

237

5.76

0.52

0.3125

0.25

0.291667

0.395833

0

0.21097

237

14

31

16.928571

0.770053

0.084388

0

0.060241

0

1

0

false

0

0.666667

0

1

0

null

1

0

null

0

1

0

5

a7b9e4432b02485a7863cde1b5c89fd2e6810e3e

185

py

Python

autotorch/__init__.py

StacyYang/AutoTorch

bd963471a2aab25a67bef84b6a9bb5619e2380e3

[ "Apache-2.0" ]

62

2020-04-11T01:10:18.000Z

2022-01-20T02:05:58.000Z

autotorch/__init__.py

StacyYang/AutoTorch

bd963471a2aab25a67bef84b6a9bb5619e2380e3

[ "Apache-2.0" ]

14

2020-04-11T01:10:10.000Z

2020-05-13T23:59:30.000Z

autotorch/__init__.py

StacyYang/AutoTorch

bd963471a2aab25a67bef84b6a9bb5619e2380e3

[ "Apache-2.0" ]

7

2020-04-21T13:06:42.000Z

2022-03-14T11:54:39.000Z

"""AutoTorch""" from .version import __version__ from . import scheduler, searcher, utils from .scheduler import get_cpu_count, get_gpu_count from .utils import * from .core import *

20.555556

51

0.772973

25

185

5.4

0.48

0

0.140541

185

8

52

23.125

0.849057

0.048649

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ac00396bb5413dcd63acc67e8b5af1cbcf5d6bbc

873

py

Python

zot/test_IncludeResolver.py

niccroad/zot

8a9ad7292abc4cc93392d89597ab991a0480afb2

[ "MIT" ]

1

2017-10-23T01:43:17.000Z

zot/test_IncludeResolver.py

niccroad/zot

8a9ad7292abc4cc93392d89597ab991a0480afb2

[ "MIT" ]

null

zot/test_IncludeResolver.py

niccroad/zot

8a9ad7292abc4cc93392d89597ab991a0480afb2

[ "MIT" ]

null

import unittest from IncludeResolver import IncludeResolver class test_IncludeResolver(unittest.TestCase): def test_rewriteInclude_on_a_local_include(self): resolver = IncludeResolver('.', [], '.') self.assertEquals('"../include/TestFramework.h"', resolver.rewriteInclude('"../include/TestFramework.h"')) def test_rewriteInclude_on_a_local_include_generated_to_another_folder(self): resolver = IncludeResolver('.', [], '../..') self.assertEquals('"../../include/TestFramework.h"', resolver.rewriteInclude('"include/TestFramework.h"')) def test_rewriteInclude_on_a_system_include(self): resolver = IncludeResolver('.', [], '../..') self.assertEquals('<include/TestFramework.h>', resolver.rewriteInclude('<include/TestFramework.h>'))

45.947368

82

0.65063

75

873

7.306667

0.306667

0.218978

0.229927

0.125912

0.773723

0.698905

0

0.201604

873

19

83

45.947368

0.786227

0

0.133333

0

0.201373

0.185355

0

0.2

1

0.2

false

0

0.133333

0

0.4

0

null

1

0

1

0

1

0

null

0

5

ac09b832c55c25123d8d7c554d1cd0b69bfbc96f

2,182

py

Python

api_demo/easy_example.py

Chariotteam/FionaNasaSpaceApps

a14c845354f3f8c453cdef6d1a9837195f3f2ef5

[ "MIT" ]

null

api_demo/easy_example.py

Chariotteam/FionaNasaSpaceApps

a14c845354f3f8c453cdef6d1a9837195f3f2ef5

[ "MIT" ]

null

api_demo/easy_example.py

Chariotteam/FionaNasaSpaceApps

a14c845354f3f8c453cdef6d1a9837195f3f2ef5

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Oct 3 01:22:53 2021 @author: timur """ import requests def compare_values(y, arrays): params = {'y': y, 'with': arrays} rest_url='https://chariot-maria.space/api/v1.0/linear/compare_values' headers = {} headers["Content-Type"] = "application/json; charset=UTF-8" headers["Accept"] = "application/json; charset=UTF-8" rest_response = requests.request("POST", rest_url, headers=headers, json=params) return rest_response.json() def predict_val(degrees, predict, x, y, subsets = 300, sampling_param = 2): params = {"degrees": degrees, "predict": predict, "x":x, "y":y,"subsets": subsets, "sampling_param":sampling_param} rest_url='https://chariot-maria.space/api/v1.0/validating_pol' headers = {} headers["Content-Type"] = "application/json; charset=UTF-8" headers["Accept"] = "application/json; charset=UTF-8" rest_response = requests.request("POST", rest_url, headers=headers, json=params) return rest_response.json() def clustering(data, k ,column, size_min, size_max, max_attemps = 300, zScale = False): params = {"data": [{"column": column, "k": k, "attemps": max_attemps, "size_min":size_min, "size_max":size_max, "z_score": str(zScale).lower()}, data]} rest_url='https://chariot-maria.space/api/v1.0/constrained_clustering' headers = {} headers["Content-Type"] = "application/json; charset=UTF-8" headers["Accept"] = "application/json; charset=UTF-8" rest_response = requests.request("POST", rest_url, headers=headers, json=params) return rest_response.json() def km_clustering(data, k ,column, max_attemps = 300, zScale = False): params = {"data": [{"column": column, "k": k, "attemps": max_attemps, "z_score": str(zScale).lower()}, data]} rest_url='https://chariot-maria.space/api/v1.0/kmean' headers = {} headers["Content-Type"] = "application/json; charset=UTF-8" headers["Accept"] = "application/json; charset=UTF-8" rest_response = requests.request("POST", rest_url, headers=headers, json=params) return rest_response.json()

32.567164

155

0.664528

288

2,182

4.90625

0.263889

0.025478

0.124558

0.141543

0.723992

0.674452

0

0.021393

0.164528

2,182

66

156

33.060606

0.753703

0.043538

0

0.606061

0

0.314877

0

1

0.121212

false

0

0.030303

0

0.272727

0

null

0

1

0

null

0

5

ac20f67e5a5626890ff281123b56a049b517beb5

1,247

py

Python

twodim_compiler/drawing.py

jivnov/Language-for-2D-graphics

3d09ea4e14509089750c45d5f6f8eb03841e4e2e

[ "MIT" ]

null

twodim_compiler/drawing.py

jivnov/Language-for-2D-graphics

3d09ea4e14509089750c45d5f6f8eb03841e4e2e

[ "MIT" ]

2

2021-05-02T12:24:35.000Z

2021-06-18T10:44:34.000Z

twodim_compiler/drawing.py

jivnov/Language-for-2D-graphics

3d09ea4e14509089750c45d5f6f8eb03841e4e2e

[ "MIT" ]

null

import svgwrite as svg from graph import Vertex, Graph class Drawing2d: def __init__(self, w, h, output_path='./generated_images/output.svg'): """ :param w: :param h: """ self.viewport_width = w self.viewport_height = h self.canvas = svg.Drawing(output_path, (w, h)) def draw(self, v: Vertex, parent: Vertex = None): # TODO: Draw all neighbours and neighbours' neighbours etc. """ Basic algo: 1. Go "up" (check the IN reference) until you reach the root of the graph NOTE: When adding a neighbour A to a Vertex B CONTAINED in some shape X, you should add "A IN X" relation automatically as well 2. Draw root shape parent_graphX 3. Call algo for each of X's neighbours until there are no neighbours to draw :param parent: Parent of the vertex; if None, assume this is the root :param v: :return: """ if v.drawn: return v.draw(self.canvas) def _graph_to_something_insertable(self, graph: Graph): # TODO: This helper method should enable defining relations between Vertices and Graphs # TIP: We may want to use <defs> tag for this pass

33.702703

135

0.622294

177

1,247

4.305085

0.548023

0.005249

0

0.004598

0.302326

1,247

36

136

34.638889

0.871264

0.498797

0

1

0

0.056641

0

0.055556

0

1

0.230769

false

0.076923

0.153846

0

0.538462

0

null

0

1

0

null

0

1

0

1

0

1

0

1

0

5

3bad1b252b5668fe8cf27ff1b4ff28c36ce9e83b

3,919

py

Python

tests/test_get_Rfam_ribo.py

Sung-Huan/ANNOgesic

af3de26f6c5ff9d2218f18a84bbc863a1bb95550

[ "0BSD" ]

26

2016-02-25T19:27:55.000Z

2022-01-22T09:54:59.000Z

tests/test_get_Rfam_ribo.py

Sung-Huan/ANNOgesic

af3de26f6c5ff9d2218f18a84bbc863a1bb95550

[ "0BSD" ]

28

2018-11-22T19:51:06.000Z

2022-03-20T23:02:13.000Z

tests/test_get_Rfam_ribo.py

Sung-Huan/ANNOgesic

af3de26f6c5ff9d2218f18a84bbc863a1bb95550

[ "0BSD" ]

18

2016-06-01T11:53:45.000Z

2021-12-27T03:41:03.000Z

import sys import os import unittest import shutil from io import StringIO sys.path.append(".") import annogesiclib.get_Rfam_ribo as grr class TestGetRfamRibo(unittest.TestCase): def setUp(self): self.example = Example() self.test_folder = "test_folder" if (not os.path.exists(self.test_folder)): os.mkdir(self.test_folder) def tearDown(self): if os.path.exists(self.test_folder): shutil.rmtree(self.test_folder) def test_rbs_from_rfam(self): out_file = os.path.join(self.test_folder, "test.out") ribo_table = os.path.join(self.test_folder, "ribo_table") with open(ribo_table, "w") as fh: fh.write(self.example.ribo_table) rfam_file = os.path.join(self.test_folder, "rfam") with open(rfam_file, "w") as fh: fh.write(self.example.rfam_file) grr.rbs_from_rfam(ribo_table, rfam_file, out_file) datas = [] with open(out_file) as fh: for line in fh: line = line.strip() datas.append(line) self.assertEqual(set(datas), set(self.example.out.split("\n"))) class Example(object): ribo_table = """RF00162 SAM SAM riboswitch box leader RF00174 Cobalamin Cobalamin riboswitch RF00634 SAM-IV S adenosyl methionine SAM riboswitch""" rfam_file = """INFERNAL1/a [1.1 | October 2013] NAME SAM ACC RF00162 STATES 338 NODES 91 CLEN 108 W 272 ALPH RNA RF no CONS yes MAP yes DATE Thu Feb 20 18:18:58 2014 COM [1] cmbuild -F CM SEED COM [2] cmcalibrate --mpi CM PBEGIN 0.05 PEND 0.05 WBETA 1e-07 QDBBETA1 1e-07 QDBBETA2 1e-15 N2OMEGA 1.52588e-05 N3OMEGA 1.52588e-05 ELSELF -0.08926734 // INFERNAL1/a [1.1rc4 | June 2013] NAME SAM-IV ACC RF00634 STATES 362 NODES 95 CLEN 116 W 149 ALPH RNA RF no CONS yes MAP yes DATE Tue Aug 20 22:41:06 2013 COM [1] cmbuild -F CM SEED COM [2] cmcalibrate --mpi CM PBEGIN 0.05 PEND 0.05 WBETA 1e-07 QDBBETA1 1e-07 QDBBETA2 1e-15 N2OMEGA 1.52588e-05 N3OMEGA 1.52588e-05 ELSELF -0.08926734 NSEQ 40 EFFN 1.655273 CKSUM 531515698 NULL 0.000 0.000 0.000 0.000 GA 38.00 TC 38.60 NC 37.10 EFP7GF -7.0145 0.71835 // INFERNAL1/a [1.1rc4 | June 2013] NAME test ACC RF001111 STATES 362 NODES 95 CLEN 116 W 149 ALPH RNA RF no CONS yes MAP yes DATE Tue Aug 20 22:41:06 2013 COM [1] cmbuild -F CM SEED COM [2] cmcalibrate --mpi CM PBEGIN 0.05 PEND 0.05 WBETA 1e-07 QDBBETA1 1e-07 QDBBETA2 1e-15 N2OMEGA 1.52588e-05 N3OMEGA 1.52588e-05 ELSELF -0.08926734 NSEQ 40 EFFN 1.655273 CKSUM 531515698 NULL 0.000 0.000 0.000 0.000 GA 38.00 TC 38.60 NC 37.10 EFP7GF -7.0145 0.71835 """ out = """INFERNAL1/a [1.1 | October 2013] NAME SAM ACC RF00162 STATES 338 NODES 91 CLEN 108 W 272 ALPH RNA RF no CONS yes MAP yes DATE Thu Feb 20 18:18:58 2014 COM [1] cmbuild -F CM SEED COM [2] cmcalibrate --mpi CM PBEGIN 0.05 PEND 0.05 WBETA 1e-07 QDBBETA1 1e-07 QDBBETA2 1e-15 N2OMEGA 1.52588e-05 N3OMEGA 1.52588e-05 ELSELF -0.08926734 // INFERNAL1/a [1.1rc4 | June 2013] NAME SAM-IV ACC RF00634 STATES 362 NODES 95 CLEN 116 W 149 ALPH RNA RF no CONS yes MAP yes DATE Tue Aug 20 22:41:06 2013 COM [1] cmbuild -F CM SEED COM [2] cmcalibrate --mpi CM PBEGIN 0.05 PEND 0.05 WBETA 1e-07 QDBBETA1 1e-07 QDBBETA2 1e-15 N2OMEGA 1.52588e-05 N3OMEGA 1.52588e-05 ELSELF -0.08926734 NSEQ 40 EFFN 1.655273 CKSUM 531515698 NULL 0.000 0.000 0.000 0.000 GA 38.00 TC 38.60 NC 37.10 EFP7GF -7.0145 0.71835 //""" if __name__ == "__main__": unittest.main()

20.73545

71

0.614953

641

3,919

3.700468

0.229329

0.020236

0.037943

0.030354

0.700675

0.668634

0.61425

0

0.217692

0.299056

3,919

188

72

20.845745

0.645795

0

0.755682

0

0.680704

0

0.005682

1

0.017045

false

0

0.034091

0

0.079545

0

null

0

1

0

1

0

1

0

1

0

1

0

null

0

5

3be5c69cc30af555544cbfd54391e479e4314b98

17

py

Python

edc_ogc/__init__.py

eurodatacube/ogc-edc

5f2844e5dbf63f05d8076965b02171bd91871820

[ "MIT" ]

null

edc_ogc/__init__.py

eurodatacube/ogc-edc

5f2844e5dbf63f05d8076965b02171bd91871820

[ "MIT" ]

21

2019-11-11T14:54:14.000Z

2021-06-10T22:22:07.000Z

edc_ogc/__init__.py

eurodatacube/ogc-edc

5f2844e5dbf63f05d8076965b02171bd91871820

[ "MIT" ]

1

2020-10-05T15:17:38.000Z

VERSION="0.13.8"

8.5

16

0.647059

4

17

2.75

1

0

0.25

0.058824

17

1

17

0.4375

0

0.352941

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

5

ce02b8f735e60c63a06c706f5ae028c623eea9fa

107

py

Python

django_frontend_presets/settings.py

mikemenard/django-frontend-presets

0d1837415282ae43488b3e6e66889bc94f1a45b4

[ "BSD-3-Clause" ]

null

django_frontend_presets/settings.py

mikemenard/django-frontend-presets

0d1837415282ae43488b3e6e66889bc94f1a45b4

[ "BSD-3-Clause" ]

null

django_frontend_presets/settings.py

mikemenard/django-frontend-presets

0d1837415282ae43488b3e6e66889bc94f1a45b4

[ "BSD-3-Clause" ]

null

import os APP_DIR = os.path.dirname(os.path.abspath(__file__)) STUBS_DIR = os.path.join(APP_DIR, 'stubs')

21.4

52

0.747664

19

107

3.842105

0.526316

0.246575

0

0.093458

107

4

53

26.75

0.752577

0

0.046729

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5