xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

13df15048eacc1016bef69b88d083a155dfca25f

584

py

Python

stock_trading/admin.py

SaurabhPanja/herodha

bb78877cd7d29b80f446245b1b5feb6e16984489

[ "MIT" ]

3

2019-10-20T07:35:22.000Z

2021-07-18T13:39:02.000Z

stock_trading/admin.py

SaurabhPanja/herodha

bb78877cd7d29b80f446245b1b5feb6e16984489

[ "MIT" ]

7

2020-06-05T23:51:41.000Z

2022-02-10T09:18:21.000Z

stock_trading/admin.py

SaurabhPanja/herodha

bb78877cd7d29b80f446245b1b5feb6e16984489

[ "MIT" ]

3

2019-10-15T06:12:58.000Z

2019-11-04T12:07:24.000Z

from django.contrib import admin from .models import User, SellTransaction, BuyTransaction, Bookmark admin.site.register(SellTransaction) admin.site.register(BuyTransaction) admin.site.register(Bookmark) # Register your models here. from django.contrib.auth import get_user_model from django.contrib.auth.admin import UserAdmin from .forms import CustomUserCreationForm class CustomUserAdmin(UserAdmin): add_form = CustomUserCreationForm # form = CustomUserChangeForm model = User list_display = ['email', 'username',] admin.site.register(User, CustomUserAdmin)

26.545455

67

0.799658

66

584

7.015152

0.439394

0.077754

0.146868

0.090713

0

0.121575

584

21

68

27.809524

0.902534

0.092466

0

0.024715

0

1

0

false

0

0.384615

0

0.692308

0

null

0

null

0

1

0

1

0

2

13e810afa620c13d68c61f1e12f1a66b3a2213aa

546

py

Python

scipy/signal/__init__.py

GaelVaroquaux/scipy

aa80ab6a6d62a3923253bb6b296f41afa3d31845

[ "BSD-3-Clause" ]

null

scipy/signal/__init__.py

GaelVaroquaux/scipy

aa80ab6a6d62a3923253bb6b296f41afa3d31845

[ "BSD-3-Clause" ]

null

scipy/signal/__init__.py

GaelVaroquaux/scipy

aa80ab6a6d62a3923253bb6b296f41afa3d31845

[ "BSD-3-Clause" ]

null

# # signal - Signal Processing Tools # from info import __doc__ import sigtools from waveforms import * # The spline module (a C extension) provides: # cspline2d, qspline2d, sepfir2d, symiirord1, symiirord2 from spline import * from bsplines import * from filter_design import * from fir_filter_design import * from ltisys import * from windows import * from signaltools import * from spectral import * from wavelets import * __all__ = filter(lambda s: not s.startswith('_'), dir()) from numpy.testing import Tester test = Tester().test

21

60

0.760073

71

546

5.676056

0.56338

0.198511

0.08933

0.109181

0

0.010989

0.166667

546

25

61

21.84

0.874725

0.247253

0

0.002469

0

1

0

false

0

0.866667

0

0.866667

0

null

0

null

0

1

0

1

0

2

13e81901f67f7570368bde8b92fefb6c9a70c301

1,500

py

Python

sympy/physics/quantum/constants.py

shipci/sympy

4b59927bed992b980c9b3faac01becb36feef26b

[ "BSD-3-Clause" ]

319

2016-09-22T15:54:48.000Z

2022-03-18T02:36:58.000Z

sympy/physics/quantum/constants.py

shipci/sympy

4b59927bed992b980c9b3faac01becb36feef26b

[ "BSD-3-Clause" ]

9

2016-11-03T21:56:41.000Z

2020-08-09T19:27:37.000Z

sympy/physics/quantum/constants.py

shipci/sympy

4b59927bed992b980c9b3faac01becb36feef26b

[ "BSD-3-Clause" ]

27

2016-10-06T16:05:32.000Z

2022-03-18T02:37:00.000Z

"""Constants (like hbar) related to quantum mechanics.""" from __future__ import print_function, division from sympy.core.numbers import NumberSymbol from sympy.core.singleton import Singleton from sympy.core.compatibility import u, with_metaclass from sympy.printing.pretty.stringpict import prettyForm import sympy.mpmath.libmp as mlib #----------------------------------------------------------------------------- # Constants #----------------------------------------------------------------------------- __all__ = [ 'hbar' ] class HBar(with_metaclass(Singleton, NumberSymbol)): """Reduced Plank's constant in numerical and symbolic form [1]_. Examples ======== >>> from sympy.physics.quantum.constants import hbar >>> hbar.evalf() 1.05457162000000e-34 References ========== .. [1] http://en.wikipedia.org/wiki/Planck_constant """ is_real = True is_positive = True is_negative = False is_irrational = True __slots__ = [] def _as_mpf_val(self, prec): return mlib.from_float(1.05457162e-34, prec) def _sympyrepr(self, printer, *args): return 'HBar()' def _sympystr(self, printer, *args): return 'hbar' def _pretty(self, printer, *args): if printer._use_unicode: return prettyForm(u('\u210f')) return prettyForm('hbar') def _latex(self, printer, *args): return r'\hbar' # Create an instance for everyone to use. hbar = HBar()

24.193548

78

0.59

161

1,500

5.304348

0.52795

0.052693

0.070258

0.07377

0.065574

0

0.027592

0.202667

1,500

61

79

24.590164

0.686455

0.344667

0

0.031116

0

1

0.178571

false

0

0.214286

0.142857

0.821429

0.25

0

null

0

null

0

1

0

2

13ee1649758294ad34e713fc2cc036dd2e133326

282

py

Python

mite/web/__init__.py

tonysimpson/mite

2a99a7b05204de444006e57e2c66e9f87fbcc357

[ "MIT" ]

1

2017-11-19T21:43:55.000Z

mite/web/__init__.py

tonysimpson/mite

2a99a7b05204de444006e57e2c66e9f87fbcc357

[ "MIT" ]

null

mite/web/__init__.py

tonysimpson/mite

2a99a7b05204de444006e57e2c66e9f87fbcc357

[ "MIT" ]

null

import sys from flask import Flask, Response from .prometheus import PrometheusMetrics app = Flask(__name__) prometheus_metrics = PrometheusMetrics() @app.route('/metrics') def metrics(): text = prometheus_metrics.format() return Response(text, mimetype='text/plain')

17.625

48

0.755319

32

282

6.46875

0.53125

0.193237

0

0.141844

282

15

49

18.8

0.855372

0

0.064286

0

1

0.111111

false

0

0.333333

0

0.555556

0

null

0

null

0

1

0

1

0

2

13f7760283241b44387910bfaf8c44e55327fb13

4,116

py

Python

userprofile/urls/es.py

jijo-paulose/django-profile

b3aaf225f5728474047d9e41f9d6a65b6de1f70f

[ "BSD-2-Clause" ]

7

2015-01-08T11:11:08.000Z

2019-07-01T08:12:38.000Z

userprofile/urls/es.py

jijo-paulose/django-profile

b3aaf225f5728474047d9e41f9d6a65b6de1f70f

[ "BSD-2-Clause" ]

1

2016-03-08T21:27:45.000Z

userprofile/urls/es.py

jijo-paulose/django-profile

b3aaf225f5728474047d9e41f9d6a65b6de1f70f

[ "BSD-2-Clause" ]

3

2016-03-10T16:08:36.000Z

2019-09-18T16:28:35.000Z

from django.conf.urls.defaults import * from django.views.generic.simple import direct_to_template from userprofile.views import * from django.conf import settings urlpatterns = patterns('', # Private profile url(r'^perfil/$', overview, name='profile_overview'), url(r'^perfil/editar/ubicacion/$', location, name='profile_edit_location'), url(r'^perfil/editar/personal/$', personal, name='profile_edit_personal'), url(r'^perfil/eliminar/$', delete, name='profile_delete'), url(r'^perfil/obtener_infopais/(?P<lat>[0-9\.\-]+)/(?P<lng>[0-9\.\-]+)/$', fetch_geodata, name='profile_geocountry_info'), # Avatars url(r'^perfil/editar/avatar/eliminar/$', avatardelete, name='profile_avatar_delete'), url(r'^perfil/editar/avatar/$', avatarchoose, name='profile_edit_avatar'), url(r'^perfil/editar/avatar/recortar/$', avatarcrop, name='profile_avatar_crop'), url(r'^perfil/edit/avatar/recortar/listo/$', direct_to_template, { 'extra_context': {'section': 'avatar'}, 'template': 'userprofile/avatar/done.html'}, name='profile_avatar_crop_done'), # Account utilities url(r'^email/validar/$', email_validation, name='email_validation'), url(r'^email/validar/procesado/$', direct_to_template, {'template': 'userprofile/account/email_validation_processed.html'}, name='email_validation_processed'), url(r'^email/validar/(?P<key>.{70})/$', email_validation_process, name='email_validation_process'), url(r'^email/validar/reestablecer/$', email_validation_reset, name='email_validation_reset'), url(r'^email/validar/reestablecer/(?P<action>listo|fallo)/$', direct_to_template, {'template' : 'userprofile/account/email_validation_reset_response.html'}, name='email_validation_reset_response'), url(r'^password/reestablecer/$', 'django.contrib.auth.views.password_reset', {'template_name': 'userprofile/account/password_reset.html', 'email_template_name': 'userprofile/email/password_reset_email.txt' }, name='password_reset'), url(r'^password/reestablecer/listo/$', 'django.contrib.auth.views.password_reset_done', {'template_name': 'userprofile/account/password_reset_done.html'}, name='password_reset_done'), url(r'^password/cambiar/$', 'django.contrib.auth.views.password_change', {'template_name': 'userprofile/account/password_change.html'}, name='password_change'), url(r'^password/cambiar/listo/$', 'django.contrib.auth.views.password_change_done', {'template_name': 'userprofile/account/password_change_done.html'}, name='password_change_done'), url(r'^reestablecer/(?P<uidb36>[0-9A-Za-z]+)-(?P<token>.+)/$', 'django.contrib.auth.views.password_reset_confirm', {'template_name': 'userprofile/account/password_reset_confirm.html'}, name="password_reset_confirm"), url(r'^reestablecer/listo/$', 'django.contrib.auth.views.password_reset_complete', {'template_name': 'userprofile/account/password_reset_complete.html'}, name="password_reset_complete"), url(r'^entrar/$', 'django.contrib.auth.views.login', {'template_name': 'userprofile/account/login.html'}, name='login'), url(r'^salir/$', 'django.contrib.auth.views.logout', {'template_name': 'userprofile/account/logout.html'}, name='logout'), # Registration url(r'^registro/$', register, name='signup'), url(r'^registro/validar/$', direct_to_template, {'template' : 'userprofile/account/validate.html'}, name='signup_validate'), url(r'^registro/completo/$', direct_to_template, {'extra_context': { 'email_validation_required': hasattr(settings, "REQUIRE_EMAIL_CONFIRMATION") and settings.REQUIRE_EMAIL_CONFIRMATION }, 'template': 'userprofile/account/registration_done.html'}, name='signup_complete'), # Users public profile url(r'^perfil/(?P<username>.+)/$', public, name='profile_public'), )

38.830189

147

0.677357

467

4,116

5.745182

0.214133

0.038763

0.037272

0.065598

0.317928

0.251584

0.081252

0

0.002874

0.154519

4,116

105

148

39.2

0.768103

0.018222

0

0.013699

0.574969

0.440149

0

1

0

false

0.30137

0.054795

0

0.054795

0

null

0

1

null

0

1

0

2

b92fc8c4f12a3495c3c287978d0d7bbf37e3eae2

549

py

Python

tests/test_compose/test_write/test_tag/test_th.py

schireson/htmxl

d4adef9fe0630f39c3664d3913bbbbe3db3ec069

[ "MIT" ]

2

2021-08-11T15:15:29.000Z

2022-03-20T04:04:54.000Z

tests/test_compose/test_write/test_tag/test_th.py

schireson/htmxl

d4adef9fe0630f39c3664d3913bbbbe3db3ec069

[ "MIT" ]

5

2021-08-18T20:54:32.000Z

2022-01-24T20:06:46.000Z

tests/test_compose/test_write/test_tag/test_th.py

schireson/htmxl

d4adef9fe0630f39c3664d3913bbbbe3db3ec069

[ "MIT" ]

null

from tests.utils import WriteTests class WriteTh(WriteTests): fixture_dir = "tests/fixtures/templates/tags/th" class TestColspanMergesCells(WriteTh): template_file = "colspan_merges.html.jinja2" expected_result_file = "colspan_merges.xlsx" class TestRowspanMergesCells(WriteTh): template_file = "rowspan_merges.html.jinja2" expected_result_file = "rowspan_merges.xlsx" class TestRowspanContainedRow(WriteTh): template_file = "rowspan_contained_row.html.jinja2" expected_result_file = "rowspan_contained_row.xlsx"

26.142857

55

0.788707

62

549

6.693548

0.451613

0.106024

0.137349

0.173494

0.26506

0

0.00625

0.125683

549

20

56

27.45

0.858333

0

0.32969

0.260474

0

1

0

false

0

0.083333

0

1

0

null

0

1

0

null

0

1

0

2

b930c55fe27b75765321f96d389fdf468a4819f5

1,181

py

Python

bismuthcore/Utils/export_json100k.py

bismuthfoundation/BismuthCore

cad565c8874dc65c4004c92a29a533190f73a51a

[ "MIT" ]

2

2020-03-04T12:35:59.000Z

2020-03-28T04:17:45.000Z

bismuthcore/Utils/export_json100k.py

bismuthfoundation/BismuthCore

cad565c8874dc65c4004c92a29a533190f73a51a

[ "MIT" ]

1

2019-01-11T15:57:06.000Z

2019-01-11T18:30:47.000Z

bismuthcore/Utils/export_json100k.py

bismuthfoundation/BismuthCore

cad565c8874dc65c4004c92a29a533190f73a51a

[ "MIT" ]

null

""" Export 100k tx to json format for benchmark Test temp util """ import json import sqlite3 import sys from os import remove sys.path.append('../') from bismuthcore.transaction import Transaction if __name__ == "__main__": try: remove('tx_dataset.json') except: pass try: remove('tx_tuple_dataset.json') except: pass with sqlite3.connect('../../../Bismuth-temp/static/ledger.db', timeout=1) as ledger: # TODO: use a default path and give custom db path to command line for more flexible use depending on context ledger.text_factory = str res = ledger.execute("select * from transactions where block_height > 700000 limit 100000") with open("tx_dataset.json", "w") as fp: for row in res: tx = Transaction.from_legacy(row) fp.write(tx.to_json() + "\n") res = ledger.execute("select * from transactions where block_height > 700000 limit 100000") with open("tx_tuple_dataset.json", "w") as fp: for row in res: tx = Transaction.from_legacy(row) fp.write(json.dumps(tx.to_tuple()) + "\n")

28.804878

117

0.622354

156

1,181

4.576923

0.474359

0.061625

0.022409

0.058824

0.394958

0

0.034803

0.27011

1,181

40

118

29.525

0.793503

0.142252

0

0.444444

0

0.25996

0.079681

0

0.025

0

1

0

false

0.074074

0.185185

0

0.185185

0

null

0

null

0

1

0

1

0

2

b93f18ef93d7e5da9a3f030989e1fad2e2b4d074

3,124

py

Python

Core/Reddit.py

mickylindsay/VinnyBot

c62245c1631b2505ac724124bc666387b30129ac

[ "MIT" ]

2

2020-01-01T15:08:38.000Z

2020-06-24T03:09:42.000Z

Core/Reddit.py

mickylindsay/VinnyBot

c62245c1631b2505ac724124bc666387b30129ac

[ "MIT" ]

null

Core/Reddit.py

mickylindsay/VinnyBot

c62245c1631b2505ac724124bc666387b30129ac

[ "MIT" ]

null

import praw import random import itertools from nsfw import isEnabled def main(): print("--------------------") print("asdf " + random_hot_post('')) print("--------------------") def random_hot_post(subreddit, limit, message): r = praw.Reddit(user_agent='Discord Bot', client_id='byorb8K1SwaO1g', client_secret='qFBAtKZuQfvWcOhmO495ia7BH68') if r.subreddit(subreddit).over18: if not isEnabled(message): return ":x: Error: Subreddit is NSFW and NSFW is not enabled in this channel. An admin can run the '~togglensfw' command to enable it :x:" submissions = r.subreddit(subreddit).hot(limit=limit) if submissions is None: return None num = random.randrange(1, limit) - 1 try: hot_page = list(itertools.islice(submissions, limit)) if len(hot_page) == 0: return 'Failed to find post matching parameters.' random_page = hot_page[num] except: return None if random_page.stickied: return random_hot_post(subreddit, limit + 1, message) if subreddit != 'shitpost': return random_page.url try: linked_post = r.submission(url=random_page.url) return linked_post.url except: return random_page.url def getCosplay(message, client): limit = 30 r = praw.Reddit(user_agent='Discord Bot', client_id='byorb8K1SwaO1g', client_secret='qFBAtKZuQfvWcOhmO495ia7BH68') try: searchTerms = message.content.split(" ")[1] searchTerms.replace('_', ' ') submissions = r.subreddit('cosplay').search(searchTerms, limit=limit) except IndexError: submissions = r.subreddit('cosplay').hot(limit=limit) num = random.randrange(1, limit) - 1 try: hot_page = list(itertools.islice(submissions, limit)) except: return 'There was an error retrieving a post :cty:' if len(hot_page) == 0: return 'Failed to find post matching parameters.' try: random_page = hot_page[num] except: return 'Failed to find a post matching parameters.' if random_page.stickied: return getCosplay(message, client) return random_page.url def getCosplayGirl(message, client): limit = 30 r = praw.Reddit(user_agent='Discord Bot', client_id='byorb8K1SwaO1g', client_secret='qFBAtKZuQfvWcOhmO495ia7BH68') try: searchTerms = message.content.split(" ")[1] searchTerms.replace('_', ' ') submissions = r.subreddit('cosplaygirls').search(searchTerms, limit=limit) except IndexError: submissions = r.subreddit('cosplaygirls').hot(limit=limit) num = random.randrange(1, limit) - 1 try: hot_page = list(itertools.islice(submissions, limit)) except: return 'There was an error retrieving a post :cty:' if len(hot_page) == 0: return 'Failed to find post matching parameters.' try: random_page = hot_page[num] except: return 'Failed to find a post matching parameters.' if random_page.stickied: return getCosplay(message, client) return random_page.url

28.925926

150

0.650768

371

3,124

5.374663

0.231806

0.055166

0.052658

0.045135

0.744734

0.692076

0.676028

0.611836

0

0.018813

0.234315

3,124

107

151

29.196262

0.814799

0

0.721519

0

0.012658

0.214469

0.025928

0

1

0.050633

false

0

0.050633

0

0.329114

0.037975

0

null

0

1

0

1

0

null

0

2

b942231006eb0a5aae5f3073e47e25dd1946c4a2

3,022

py

Python

setup.py

0xflotus/fluxgui

a3b55da976053fc978b29d191db52dfb8da2f8ee

[ "MIT" ]

1

2018-11-11T17:10:57.000Z

setup.py

0xflotus/fluxgui

a3b55da976053fc978b29d191db52dfb8da2f8ee

[ "MIT" ]

null

setup.py

0xflotus/fluxgui

a3b55da976053fc978b29d191db52dfb8da2f8ee

[ "MIT" ]

1

2018-03-21T07:04:29.000Z

#!/usr/bin/env python from distutils.core import setup import os data_files = [ ('share/icons/hicolor/16x16/apps', ['icons/hicolor/16x16/apps/fluxgui.svg']), ('share/icons/hicolor/22x22/apps', ['icons/hicolor/22x22/apps/fluxgui.svg']), ('share/icons/hicolor/24x24/apps', ['icons/hicolor/24x24/apps/fluxgui.svg']), ('share/icons/hicolor/32x32/apps', ['icons/hicolor/32x32/apps/fluxgui.svg']), ('share/icons/hicolor/48x48/apps', ['icons/hicolor/48x48/apps/fluxgui.svg']), ('share/icons/hicolor/64x64/apps', ['icons/hicolor/64x64/apps/fluxgui.svg']), ('share/icons/hicolor/96x96/apps', ['icons/hicolor/96x96/apps/fluxgui.svg']), ('share/icons/ubuntu-mono-dark/status/16', ['icons/ubuntu-mono-dark/status/16/fluxgui-panel.svg']), ('share/icons/ubuntu-mono-dark/status/22', ['icons/ubuntu-mono-dark/status/22/fluxgui-panel.svg']), ('share/icons/ubuntu-mono-dark/status/24', ['icons/ubuntu-mono-dark/status/24/fluxgui-panel.svg']), ('share/icons/ubuntu-mono-light/status/16', ['icons/ubuntu-mono-light/status/16/fluxgui-panel.svg']), ('share/icons/ubuntu-mono-light/status/22', ['icons/ubuntu-mono-light/status/22/fluxgui-panel.svg']), ('share/icons/ubuntu-mono-light/status/24', ['icons/ubuntu-mono-light/status/24/fluxgui-panel.svg']), ('share/icons/Adwaita/16x16/status', ['icons/Adwaita/16x16/status/fluxgui-panel.svg']), ('share/icons/breeze/status/22', ['icons/breeze/status/22/fluxgui-panel.svg']), ('share/icons/breeze-dark/status/22', ['icons/breeze-dark/status/22/fluxgui-panel.svg']), ('share/icons/elementary/status/24', ['icons/elementary/status/24/fluxgui-panel.svg']), ('share/icons/elementary-xfce/panel/22', ['icons/elementary-xfce/panel/22/fluxgui-panel.svg']), ('share/icons/elementary-xfce-dark/panel/22', ['icons/elementary-xfce-dark/panel/22/fluxgui-panel.svg']), ('share/applications', ['desktop/fluxgui.desktop'])] scripts = ['fluxgui'] if (os.path.exists("xflux")): scripts.append('xflux') else: print("""WARNING: if you are running 'python setup.py' manually, and not as part of Debian package creation, then you need to download the 'xflux' binary separately. You can do this by running python ./download-xflux.py before running 'setup.py'.""") setup(name = "f.lux indicator applet", version = "1.1.11~pre", description = "f.lux indicator applet - better lighting for your computer", author = "Kilian Valkhof, Michael and Lorna Herf, Josh Winters", author_email = "kilian@kilianvalkhof.com", url = "http://www.stereopsis.com/flux/", license = "MIT license", package_dir = {'fluxgui' : 'src/fluxgui'}, packages = ["fluxgui",], package_data = {"fluxgui" : ["*.glade"] }, data_files=data_files, scripts = scripts, long_description = """f.lux indicator applet is an indicator applet to control xflux, an application that makes the color of your computer's display adapt to the time of day, warm at nights and like sunlight during the day""", )

52.103448

109

0.697551

423

3,022

4.966903

0.307329

0.090433

0.111376

0.114231

0.495002

0.437887

0.240838

0.143265

0.123751

0

0.041916

0.115817

3,022

57

110

53.017544

0.744386

0.006618

0

0.744

0.506333

0

1

0

false

0

0.040816

0

0.040816

0.020408

0

null

0

1

null

0

2

b94931090c0b381ceed02988dafe7587242b1557

1,280

py

Python

Winter 2017/lec2/codingpractice.py

hyunjaemoon/pythonteaching

ee4da847cab548b9a39767d22b2586de927d8513

[ "CECILL-B" ]

null

Winter 2017/lec2/codingpractice.py

hyunjaemoon/pythonteaching

ee4da847cab548b9a39767d22b2586de927d8513

[ "CECILL-B" ]

null

Winter 2017/lec2/codingpractice.py

hyunjaemoon/pythonteaching

ee4da847cab548b9a39767d22b2586de927d8513

[ "CECILL-B" ]

null

def lambda_curry2(func): """ Returns a Curried version of a two-argument function FUNC. >>> from operator import add >>> curried_add = lambda_curry2(add) >>> add_three = curried_add(3) >>> add_three(5) 8 """ "*** YOUR CODE HERE ***" return ______ def compose1(f, g): """Return the composition function which given x, computes f(g(x)). >>> add_one = lambda x: x + 1 # adds one to x >>> square = lambda x: x**2 >>> a1 = compose1(square, add_one) # (x + 1)^2 >>> a1(4) 25 >>> mul_three = lambda x: x * 3 # multiplies 3 to x >>> a2 = compose1(mul_three, a1) # ((x + 1)^2) * 3 >>> a2(4) 75 >>> a2(5) 108 """ return lambda x: f(g(x)) def composite_identity(f, g): """ Return a function with one parameter x that returns True if f(g(x)) is equal to g(f(x)). You can assume the result of g(x) is a valid input for f and vice versa. >>> add_one = lambda x: x + 1 # adds one to x >>> square = lambda x: x**2 >>> b1 = composite_identity(square, add_one) >>> b1(0) # (0 + 1)^2 == 0^2 + 1 True >>> b1(4) # (4 + 1)^2 != 4^2 + 1 False """ "*** YOUR CODE HERE ***"

27.826087

78

0.503906

192

1,280

3.255208

0.359375

0.0672

0.064

0.0416

0.128

0

0.061393

0.338281

1,280

45

79

28.444444

0.676505

0.735156

0

0.285714

0

0.22335

0

1

0.428571

false

0

0.714286

0

null

0

null

0

1

0

1

0

2

b94d1d604d91064566630972c17d17b92ac0902f

1,837

py

Python

RQ1/periodic_activations.py

SuShu19/TiTIC

7dd83a1527ee0e57e354eb7843c75ad2e53d69fc

[ "Apache-2.0" ]

null

RQ1/periodic_activations.py

SuShu19/TiTIC

7dd83a1527ee0e57e354eb7843c75ad2e53d69fc

[ "Apache-2.0" ]

null

RQ1/periodic_activations.py

SuShu19/TiTIC

7dd83a1527ee0e57e354eb7843c75ad2e53d69fc

[ "Apache-2.0" ]

null

import torch from torch import nn import numpy as np import math def t2v(tau, f, out_features, w, b, w0, b0, arg=None): if arg: v1 = f(torch.matmul(tau, w) + b, arg) else: #print(w.shape, t1.shape, b.shape) v1 = f(torch.matmul(tau, w) + b) v2 = torch.matmul(tau, w0) + b0 #print(v1.shape) # return torch.cat([v1, v2], 1) return torch.cat([v1, v2], 2) class SineActivation(nn.Module): def __init__(self, in_features, out_features): super(SineActivation, self).__init__() self.out_features = out_features self.w0 = nn.parameter.Parameter(torch.randn(in_features, 1)) self.b0 = nn.parameter.Parameter(torch.randn(in_features, 1)) self.w = nn.parameter.Parameter(torch.randn(in_features, out_features-1)) self.b = nn.parameter.Parameter(torch.randn(in_features, out_features-1)) self.f = torch.sin def forward(self, tau): return t2v(tau, self.f, self.out_features, self.w, self.b, self.w0, self.b0) class CosineActivation(nn.Module): def __init__(self, in_features, out_features): super(CosineActivation, self).__init__() self.out_features = out_features self.w0 = nn.parameter.Parameter(torch.randn(in_features, 1)) self.b0 = nn.parameter.Parameter(torch.randn(in_features, 1)) self.w = nn.parameter.Parameter(torch.randn(in_features, out_features-1)) self.b = nn.parameter.Parameter(torch.randn(in_features, out_features-1)) self.f = torch.cos def forward(self, tau): return t2v(tau, self.f, self.out_features, self.w, self.b, self.w0, self.b0) if __name__ == "__main__": sineact = SineActivation(1, 64) cosact = CosineActivation(1, 64) print(sineact(torch.Tensor([[7]])).shape) print(cosact(torch.Tensor([[7]])).shape)

37.489796

84

0.656505

269

1,837

4.30855

0.193309

0.123382

0.131148

0.172563

0.698878

0.667817

0.63503

0

0.028649

0.20196

1,837

49

85

37.489796

0.761937

0.042461

0

0.421053

0

0.004553

0

1

0.131579

false

0

0.105263

0.052632

0.368421

0.052632

0

null

0

1

0

1

0

null

0

2

b9825b70794b01d7fbb843dae656b4c1648d3f4b

1,999

py

Python

Lib/site-packages/boto3/exceptions.py

bopopescu/django-estore

c092ffa965b8ef68e71d27d34a17fde1beacd90e

[ "MIT" ]

4

2015-10-20T15:18:40.000Z

2018-01-17T10:03:19.000Z

venv/lib/python2.7/site-packages/boto3/exceptions.py

LockScreen/Backend

42485a997f365172c7a63527f0df3b5707fd23f9

[ "MIT" ]

null

venv/lib/python2.7/site-packages/boto3/exceptions.py

LockScreen/Backend

42485a997f365172c7a63527f0df3b5707fd23f9

[ "MIT" ]

2

2019-04-29T14:16:10.000Z

2020-07-23T12:04:17.000Z

# Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file 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. class ResourceLoadException(Exception): pass class NoVersionFound(Exception): pass class RetriesExceededError(Exception): def __init__(self, last_exception, msg='Max Retries Exceeded'): super(RetriesExceededError, self).__init__(msg) self.last_exception = last_exception class S3TransferFailedError(Exception): pass class S3UploadFailedError(Exception): pass class DynamoDBOperationNotSupportedError(Exception): """Raised for operantions that are not supported for an operand""" def __init__(self, operation, value): msg = ( '%s operation cannot be applied to value %s of type %s directly. ' 'Must use AttributeBase object methods (i.e. Attr().eq()). to ' 'generate ConditionBase instances first.' % (operation, value, type(value))) Exception.__init__(self, msg) # FIXME: Backward compatibility DynanmoDBOperationNotSupportedError = DynamoDBOperationNotSupportedError class DynamoDBNeedsConditionError(Exception): """Raised when input is not a condition""" def __init__(self, value): msg = ( 'Expecting a ConditionBase object. Got %s of type %s. ' 'Use AttributeBase object methods (i.e. Attr().eq()). to ' 'generate ConditionBase instances.' % (value, type(value))) Exception.__init__(self, msg) class DynamoDBNeedsKeyConditionError(Exception): pass

32.770492

78

0.708354

232

1,999

5.987069

0.5

0.043197

0.051836

0.011519

0.148308

0.099352

0

0.006285

0.204102

1,999

60

79

33.316667

0.86675

0.332666

0

0.3

0

0.248665

0

0.016667

0

1

0.1

false

0.166667

0

0.366667

0

null

0

null

0

1

0

1

0

2

b992f85554a1d8a02b573ab84d518b5c77b73dc2

2,109

py

Python

vega/algorithms/nas/__init__.py

zjzh/vega

aa6e7b8c69024262fc483ee06113b4d1bd5156d8

[ "Apache-2.0" ]

null

vega/algorithms/nas/__init__.py

zjzh/vega

aa6e7b8c69024262fc483ee06113b4d1bd5156d8

[ "Apache-2.0" ]

null

vega/algorithms/nas/__init__.py

zjzh/vega

aa6e7b8c69024262fc483ee06113b4d1bd5156d8

[ "Apache-2.0" ]

null

# -*- coding:utf-8 -*- # Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved. # # 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. """Lazy import nas algorithms.""" from vega.common.class_factory import ClassFactory ClassFactory.lazy_register("vega.algorithms.nas", { "adelaide_ea": ["AdelaideCodec", "AdelaideMutate", "AdelaideRandom", "AdelaideEATrainerCallback"], "auto_lane": ["AutoLaneNas", "AutoLaneNasCodec", "AutoLaneTrainerCallback"], "backbone_nas": ["BackboneNasCodec", "BackboneNasSearchSpace", "BackboneNas"], "cars": ["CARSAlgorithm", "CARSTrainerCallback", "CARSPolicyConfig"], "darts_cnn": ["DartsCodec", "DartsFullTrainerCallback", "DartsNetworkTemplateConfig", "DartsTrainerCallback"], "dnet_nas": ["DblockNasCodec", "DblockNas", "DnetNasCodec", "DnetNas"], "esr_ea": ["ESRCodec", "ESRTrainerCallback", "ESRSearch"], "fis": ["AutoGateGrdaS1TrainerCallback", "AutoGateGrdaS2TrainerCallback", "AutoGateS1TrainerCallback", "AutoGateS2TrainerCallback", "AutoGroupTrainerCallback", "CtrTrainerCallback"], "mfkd": ["MFKD1", "SimpleCnnMFKD"], "modnas": ["ModNasAlgorithm", "ModNasTrainerCallback"], "segmentation_ea": ["SegmentationCodec", "SegmentationEATrainerCallback", "SegmentationNas"], "sgas": ["SGASTrainerCallback"], "sm_nas": ["SmNasCodec", "SMNasM"], "sp_nas": ["SpNasS", "SpNasP", "ReignitionCallback"], "sr_ea": ["SRCodec", "SRMutate", "SRRandom"], "mfasc": ["search_algorithm:MFASC"], "opt_nas": ["OperatorSearchSpace", "OperatorReplaceCallback"], "dag_block_nas": ["DAGBlockNas"], })

50.214286

114

0.720721

199

2,109

7.557789

0.78392

0.039894

0.017287

0.021277

0

0.007638

0.130868

2,109

41

115

51.439024

0.812875

0.30441

0

0.656077

0.239641

0

1

0

true

0

0.045455

0

0.045455

0

null

0

1

0

null

0

1

0

2

b99f8eafe24314fcf5c72b1fe45f17e88b0f9c67

7,077

py

Python

plugins/cuckoo/komand_cuckoo/actions/cuckoo_status/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/cuckoo/komand_cuckoo/actions/cuckoo_status/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/cuckoo/komand_cuckoo/actions/cuckoo_status/schema.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT import komand import json class Component: DESCRIPTION = "Returns status of the cuckoo server" class Input: pass class Output: CPULOAD = "cpuload" DISKSPACE = "diskspace" HOSTNAME = "hostname" MACHINES = "machines" TASKS = "tasks" VERSION = "version" class CuckooStatusInput(komand.Input): schema = json.loads(""" {} """) def __init__(self): super(self.__class__, self).__init__(self.schema) class CuckooStatusOutput(komand.Output): schema = json.loads(""" { "type": "object", "title": "Variables", "properties": { "cpuload": { "type": "array", "title": "CPU Load", "description": "CPU load for the past 1, 5 and 15 minutes respectively", "items": { "type": "number" }, "order": 1 }, "diskspace": { "$ref": "#/definitions/diskspace", "title": "Diskspace", "description": "Free, total and used diskspace of $CUCKOO/storage/analyses/, $CUCKOO/storage/binaries/, and specified tmppath", "order": 2 }, "hostname": { "type": "string", "title": "Hostname", "description": "Cuckoo hostname", "order": 3 }, "machines": { "$ref": "#/definitions/machines", "title": "Machines", "description": "Details about available and total analysis machines", "order": 4 }, "tasks": { "$ref": "#/definitions/tasks", "title": "Tasks", "description": "Details about analysis tasks", "order": 5 }, "version": { "type": "string", "title": "Version", "description": "Cuckoo version", "order": 6 } }, "required": [ "cpuload", "diskspace", "hostname", "machines", "tasks", "version" ], "definitions": { "analyses": { "type": "object", "title": "analyses", "properties": { "free": { "type": "integer", "title": "Free", "description": "Free diskspace", "order": 2 }, "total": { "type": "integer", "title": "Total", "description": "Total diskspace", "order": 1 }, "used": { "type": "integer", "title": "Used", "description": "Used diskspace", "order": 3 } } }, "binaries": { "type": "object", "title": "binaries", "properties": { "free": { "type": "integer", "title": "Free", "description": "Free diskspace", "order": 2 }, "total": { "type": "integer", "title": "Total", "description": "Total diskspace", "order": 1 }, "used": { "type": "integer", "title": "Used", "description": "Used diskspace", "order": 3 } } }, "diskspace": { "type": "object", "title": "diskspace", "properties": { "analyses": { "$ref": "#/definitions/analyses", "title": "Analyses", "order": 1 }, "binaries": { "$ref": "#/definitions/binaries", "title": "Binaries", "order": 2 }, "temporary": { "$ref": "#/definitions/temporary", "title": "Temporary", "order": 3 } }, "definitions": { "analyses": { "type": "object", "title": "analyses", "properties": { "free": { "type": "integer", "title": "Free", "description": "Free diskspace", "order": 2 }, "total": { "type": "integer", "title": "Total", "description": "Total diskspace", "order": 1 }, "used": { "type": "integer", "title": "Used", "description": "Used diskspace", "order": 3 } } }, "binaries": { "type": "object", "title": "binaries", "properties": { "free": { "type": "integer", "title": "Free", "description": "Free diskspace", "order": 2 }, "total": { "type": "integer", "title": "Total", "description": "Total diskspace", "order": 1 }, "used": { "type": "integer", "title": "Used", "description": "Used diskspace", "order": 3 } } }, "temporary": { "type": "object", "title": "temporary", "properties": { "free": { "type": "integer", "title": "Free", "description": "Free diskspace", "order": 2 }, "total": { "type": "integer", "title": "Total", "description": "Total diskspace", "order": 1 }, "used": { "type": "integer", "title": "Used", "description": "Used diskspace", "order": 3 } } } } }, "machines": { "type": "object", "title": "machines", "properties": { "available": { "type": "integer", "title": "Available", "order": 1 }, "total": { "type": "integer", "title": "Total", "order": 2 } } }, "tasks": { "type": "object", "title": "tasks", "properties": { "completed": { "type": "integer", "title": "Completed", "order": 1 }, "pending": { "type": "integer", "title": "Pending", "order": 2 }, "reported": { "type": "integer", "title": "Reported", "order": 3 }, "running": { "type": "integer", "title": "Running", "order": 4 }, "total": { "type": "integer", "title": "Total", "order": 5 } } }, "temporary": { "type": "object", "title": "temporary", "properties": { "free": { "type": "integer", "title": "Free", "description": "Free diskspace", "order": 2 }, "total": { "type": "integer", "title": "Total", "description": "Total diskspace", "order": 1 }, "used": { "type": "integer", "title": "Used", "description": "Used diskspace", "order": 3 } } } } } """) def __init__(self): super(self.__class__, self).__init__(self.schema)

23.127451

133

0.403278

488

7,077

5.79918

0.163934

0.097173

0.141343

0.059364

0.498233

0.476325

0

0.0093

0.422637

7,077

305

134

23.203279

0.683309

0.005228

0

0.576792

1

0.003413

0.924979

0.028559

0

1

0.006826

false

0.003413

0.006826

0

0.061433

0

null

0

1

0

1

0

null

0

2

b9b72a7b0eff2f1080736f3c1b9adc48a9e7d140

1,612

py

Python

authApp/models/user.py

lauraC4MP0/reto_carvajal_auth_ms

eb3d04602b16ba7f3e518e0be289e24c52c6ed91

[ "MIT" ]

null

authApp/models/user.py

lauraC4MP0/reto_carvajal_auth_ms

eb3d04602b16ba7f3e518e0be289e24c52c6ed91

[ "MIT" ]

null

authApp/models/user.py

lauraC4MP0/reto_carvajal_auth_ms

eb3d04602b16ba7f3e518e0be289e24c52c6ed91

[ "MIT" ]

null

from django.db import models from django.contrib.auth.models import AbstractBaseUser, PermissionsMixin, BaseUserManager from django.contrib.auth.hashers import make_password class UserManager(BaseUserManager): def create_user(self, username, password=None): """ Creates and saves a user with the given username and password. """ if not username: raise ValueError('Users must have an username') user = self.model(username=username) user.set_password(password) user.save(using=self._db) return user def create_superuser(self, username, password): """ Creates and saves a superuser with the given username and password. """ user = self.create_user( username=username,password=password, ) user.is_admin = True user.save(using=self._db) return user class User(AbstractBaseUser, PermissionsMixin): id = models.BigIntegerField('Id',primary_key=True) username = models.CharField('Username', max_length = 15, unique=True) name = models.CharField('Name', max_length = 30) lastname=models.CharField('LastName',max_length=30) email = models.EmailField('Email', max_length = 100) phoneNumber=models.CharField('PhoneNumber',max_length=20) password = models.CharField('Password', max_length = 256) def save(self, **kwargs): some_salt = 'mMUj0DrIK6vgtdIYepkIxN' self.password = make_password(self.password, some_salt) super().save(**kwargs) objects = UserManager() USERNAME_FIELD = 'username'

38.380952

90

0.676179

183

1,612

5.852459

0.382514

0.05042

0.031746

0.039216

0.112045

0.054155

0

0.0128

0.224566

1,612

42

91

38.380952

0.844

0.080645

0

0.125

0

0.071727

0.01532

0

1

0.09375

false

0.21875

0.09375

0

0.59375

0

null

0

null

0

1

0

1

0

2

b9b7778bc4a3296be2a52431b9f052859bac98c7

1,130

py

Python

aux_funcs.py

mcmissile007/trader

06070f0d786d08ffe4b8bbb5a08dcb2808cf16c4

[ "MIT" ]

null

aux_funcs.py

mcmissile007/trader

06070f0d786d08ffe4b8bbb5a08dcb2808cf16c4

[ "MIT" ]

null

aux_funcs.py

mcmissile007/trader

06070f0d786d08ffe4b8bbb5a08dcb2808cf16c4

[ "MIT" ]

null

from datetime import datetime def decideCurrentTimeFrame(last_signals): current_timeframes = [] now = datetime.now() minute = int(now.minute) hour = int(now.hour) day = int(now.day) month = int(now.month) year = int(now.year) key = str(year) + "/" + str(month) + "/" + str(day) key += " " + str(hour) + ":" + str(minute) if key in last_signals: return [] if minute == 0: last_signals[key] = True #check for signals in timesframes 300,900 y 1800 current_timeframes.append(300) current_timeframes.append(900) current_timeframes.append(1800) else: if minute % 5 == 0: last_signals[key] = True #check for signals in timesframes 300 current_timeframes.append(300) if minute % 15 == 0: #check for signals in timesframes 900 current_timeframes.append(900) if minute == 30: #check for signals in timesframes 1800 current_timeframes.append(1800) return current_timeframes

33.235294

58

0.566372

128

1,130

4.90625

0.273438

0.216561

0.219745

0.10828

0.248408

0.159236

0

0.064171

0.338053

1,130

34

59

33.235294

0.775401

0.138053

0

0.296296

0

0.004119

0

1

0.037037

false

0

0.037037

0

0.148148

0

null

1

0

null

0

2

b9ce571815a9800b79e7a948d91827dfada7dd6b

1,065

py

Python

src/cart/entities/shopping_cart.py

galvaof/li-cart

c59519c7e68b6df9bc41ca8a86a367d6e02d51d0

[ "Unlicense" ]

null

src/cart/entities/shopping_cart.py

galvaof/li-cart

c59519c7e68b6df9bc41ca8a86a367d6e02d51d0

[ "Unlicense" ]

null

src/cart/entities/shopping_cart.py

galvaof/li-cart

c59519c7e68b6df9bc41ca8a86a367d6e02d51d0

[ "Unlicense" ]

null

from cart.services.inventory_services import InventoryService class CartItem: product_id: int quantity: int class ShoppingCart: id: int voucher: str discount_ratio: float @property def items(self): return tuple(self._items) def __init__(self): self._items = [] self.inventory = InventoryService() self.voucher = None self.discount_ratio = 0 def get_item(self, product_id): if not self.has_item(product_id): raise RuntimeError return next(x for x in self.items if x.product_id == product_id) def has_item(self, product_id): return product_id in map(lambda x: x.product_id, self.items) def add(self, item: CartItem): if self.inventory.remaining(item.product_id) < item.quantity: raise RuntimeError("Not enough inventory") self._items.append(item) def remove(self, item): self._items.remove(item) def clear_items(self): self._items.clear()

24.204545

69

0.620657

131

1,065

4.854962

0.351145

0.127358

0.037736

0.053459

0

0.00133

0.293897

1,065

44

70

24.204545

0.844415

0

0.018762

0

1

0.225806

false

0

0.032258

0.064516

0.580645

0

null

0

null

0

1

0

1

0

2

b9d4ce6b860ca646286fd20c37ec4c5c1cd84007

4,367

py

Python

tests/technical_bollinger_test.py

bopo/mooquant

244a87d4cd8b4d918eec4f16905e0921c3b39f50

[ "Apache-2.0" ]

21

2017-09-07T16:08:21.000Z

2020-10-15T13:42:21.000Z

tests/technical_bollinger_test.py

bopo/MooQuant

244a87d4cd8b4d918eec4f16905e0921c3b39f50

[ "Apache-2.0" ]

209

2018-10-09T11:57:39.000Z

2021-03-25T21:40:30.000Z

tests/technical_bollinger_test.py

bopo/MooQuant

244a87d4cd8b4d918eec4f16905e0921c3b39f50

[ "Apache-2.0" ]

15

2018-11-17T20:14:37.000Z

2022-02-04T23:55:29.000Z

# -*- coding: utf-8 -*- # MooQuant # # Copyright 2011-2015 Gabriel Martin Becedillas Ruiz # # 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. """ .. moduleauthor:: Gabriel Martin Becedillas Ruiz <gabriel.becedillas@gmail.com> """ from mooquant import dataseries from mooquant.technical import bollinger from . import common class TestCase(common.TestCase): def testStockChartsBollinger(self): # Test data from http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:bollinger_bands prices = [86.1557, 89.0867, 88.7829, 90.3228, 89.0671, 91.1453, 89.4397, 89.1750, 86.9302, 87.6752, 86.9596, 89.4299, 89.3221, 88.7241, 87.4497, 87.2634, 89.4985, 87.9006, 89.1260, 90.7043, 92.9001, 92.9784, 91.8021, 92.6647, 92.6843, 92.3021, 92.7725, 92.5373, 92.9490, 93.2039, 91.0669, 89.8318, 89.7435, 90.3994, 90.7387, 88.0177, 88.0867, 88.8439, 90.7781, 90.5416, 91.3894, 90.6500] expectedMiddle = [88.71, 89.05, 89.24, 89.39, 89.51, 89.69, 89.75, 89.91, 90.08, 90.38, 90.66, 90.86, 90.88, 90.91, 90.99, 91.15, 91.19, 91.12, 91.17, 91.25, 91.24, 91.17, 91.05] expectedUpper = [91.29, 91.95, 92.61, 92.93, 93.31, 93.73, 93.90, 94.27, 94.57, 94.79, 95.04, 94.91, 94.90, 94.90, 94.86, 94.67, 94.56, 94.68, 94.58, 94.53, 94.53, 94.37, 94.15] expectedLower = [86.12, 86.14, 85.87, 85.85, 85.70, 85.65, 85.59, 85.56, 85.60, 85.98, 86.27, 86.82, 86.87, 86.91, 87.12, 87.63, 87.83, 87.56, 87.76, 87.97, 87.95, 87.96, 87.95] seqDS = dataseries.SequenceDataSeries() bBands = bollinger.BollingerBands(seqDS, 20, 2) for value in prices: seqDS.append(value) for i in range(19): self.assertEqual(bBands.getMiddleBand()[i], None) self.assertEqual(bBands.getUpperBand()[i], None) self.assertEqual(bBands.getLowerBand()[i], None) for i in range(19, len(seqDS)): self.assertEqual(round(bBands.getMiddleBand()[i], 2), expectedMiddle[i-19]) self.assertEqual(round(bBands.getUpperBand()[i], 2), expectedUpper[i-19]) self.assertEqual(round(bBands.getLowerBand()[i], 2), expectedLower[i-19]) def testStockChartsBollinger_Bounded(self): # Test data from http://stockcharts.com/school/doku.php?id=chart_school:technical_indicators:bollinger_bands prices = [86.1557, 89.0867, 88.7829, 90.3228, 89.0671, 91.1453, 89.4397, 89.1750, 86.9302, 87.6752, 86.9596, 89.4299, 89.3221, 88.7241, 87.4497, 87.2634, 89.4985, 87.9006, 89.1260, 90.7043, 92.9001, 92.9784, 91.8021, 92.6647, 92.6843, 92.3021, 92.7725, 92.5373, 92.9490, 93.2039, 91.0669, 89.8318, 89.7435, 90.3994, 90.7387, 88.0177, 88.0867, 88.8439, 90.7781, 90.5416, 91.3894, 90.6500] expectedMiddle = [91.24, 91.17, 91.05] expectedUpper = [94.53, 94.37, 94.15] expectedLower = [87.95, 87.96, 87.95] seqDS = dataseries.SequenceDataSeries() bBands = bollinger.BollingerBands(seqDS, 20, 2, 3) for value in prices: seqDS.append(value) for i in range(3): self.assertEqual(round(bBands.getMiddleBand()[i], 2), expectedMiddle[i]) self.assertEqual(round(bBands.getUpperBand()[i], 2), expectedUpper[i]) self.assertEqual(round(bBands.getLowerBand()[i], 2), expectedLower[i]) self.assertEqual(len(bBands.getMiddleBand()), 3) self.assertEqual(len(bBands.getMiddleBand()[:]), 3) self.assertEqual(len(bBands.getMiddleBand().getDateTimes()), 3) self.assertEqual(len(bBands.getUpperBand()), 3) self.assertEqual(len(bBands.getUpperBand()[:]), 3) self.assertEqual(len(bBands.getUpperBand().getDateTimes()), 3) self.assertEqual(len(bBands.getLowerBand()), 3) self.assertEqual(len(bBands.getLowerBand()[:]), 3) self.assertEqual(len(bBands.getLowerBand().getDateTimes()), 3)

55.278481

395

0.660179

675

4,367

4.260741

0.312593

0.09388

0.05007

0.075104

0.639082

0.615786

0.60605

0.57128

0.457232

0

0.240984

0.180902

4,367

78

396

55.987179

0.563042

0.205175

0

0.186047

0

0.418605

1

0.046512

false

0

0.069767

0

0.139535

0

null

0

1

0

null

0

1

0

2

b9e2ae2347b453e32686bad3aecb00da54ed51ee

2,848

py

Python

pyy1/.pycharm_helpers/python_stubs/-1550516950/_symtable.py

pyy1988/pyy_test1

6bea878409e658aa87441384419be51aaab061e7

[ "Apache-2.0" ]

null

pyy1/.pycharm_helpers/python_stubs/-1550516950/_symtable.py

pyy1988/pyy_test1

6bea878409e658aa87441384419be51aaab061e7

[ "Apache-2.0" ]

null

pyy1/.pycharm_helpers/python_stubs/-1550516950/_symtable.py

pyy1988/pyy_test1

6bea878409e658aa87441384419be51aaab061e7

[ "Apache-2.0" ]

null

# encoding: utf-8 # module _symtable # from (built-in) # by generator 1.145 # no doc # no imports # Variables with simple values CELL = 5 DEF_BOUND = 134 DEF_FREE = 32 DEF_FREE_CLASS = 64 DEF_GLOBAL = 1 DEF_IMPORT = 128 DEF_LOCAL = 2 DEF_PARAM = 4 FREE = 4 GLOBAL_EXPLICIT = 2 GLOBAL_IMPLICIT = 3 LOCAL = 1 SCOPE_MASK = 15 SCOPE_OFF = 11 TYPE_CLASS = 1 TYPE_FUNCTION = 0 TYPE_MODULE = 2 USE = 16 # functions def symtable(*args, **kwargs): # real signature unknown """ Return symbol and scope dictionaries used internally by compiler. """ pass # classes class __loader__(object): """ Meta path import for built-in modules. All methods are either class or static methods to avoid the need to instantiate the class. """ @classmethod def create_module(cls, *args, **kwargs): # real signature unknown """ Create a built-in module """ pass @classmethod def exec_module(cls, *args, **kwargs): # real signature unknown """ Exec a built-in module """ pass @classmethod def find_module(cls, *args, **kwargs): # real signature unknown """ Find the built-in module. If 'path' is ever specified then the search is considered a failure. This method is deprecated. Use find_spec() instead. """ pass @classmethod def find_spec(cls, *args, **kwargs): # real signature unknown pass @classmethod def get_code(cls, *args, **kwargs): # real signature unknown """ Return None as built-in modules do not have code objects. """ pass @classmethod def get_source(cls, *args, **kwargs): # real signature unknown """ Return None as built-in modules do not have source code. """ pass @classmethod def is_package(cls, *args, **kwargs): # real signature unknown """ Return False as built-in modules are never packages. """ pass @classmethod def load_module(cls, *args, **kwargs): # real signature unknown """ Load the specified module into sys.modules and return it. This method is deprecated. Use loader.exec_module instead. """ pass def module_repr(module): # reliably restored by inspect """ Return repr for the module. The method is deprecated. The import machinery does the job itself. """ pass def __init__(self, *args, **kwargs): # real signature unknown pass __weakref__ = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """list of weak references to the object (if defined)""" __dict__ = None # (!) real value is '' # variables with complex values __spec__ = None # (!) real value is ''

22.967742

101

0.61868

359

2,848

4.777159

0.387187

0.058309

0.081633

0.134111

0.321866

0.292711

0.230321

0.0793

0

0.015818

0.289677

2,848

123

102

23.154472

0.831933

0.454354

0

0.365385

0

1

0.211538

false

0.211538

0.019231

0

0.288462

0

null

0

null

0

1

0

1

0

2

b9e50c87aa136c29aeed2932fad8b23b00f7b960

603

py

Python

src/utils/epoch_logger.py

alphagov-mirror/govuk-entity-personalisation

a674bca4c15691fe2c4e32ea213dfccf3cb0e8ec

[ "MIT" ]

1

2021-02-15T17:35:59.000Z

src/utils/epoch_logger.py

alphagov-mirror/govuk-entity-personalisation

a674bca4c15691fe2c4e32ea213dfccf3cb0e8ec

[ "MIT" ]

16

2020-11-30T14:41:31.000Z

2021-09-09T15:33:46.000Z

src/utils/epoch_logger.py

alphagov-mirror/govuk-entity-personalisation

a674bca4c15691fe2c4e32ea213dfccf3cb0e8ec

[ "MIT" ]

4

2020-12-14T17:36:31.000Z

2021-04-10T20:12:46.000Z

from gensim.models.callbacks import CallbackAny2Vec from datetime import datetime class EpochLogger(CallbackAny2Vec): """ Callback to log information about training Reference: - https://colab.research.google.com/drive/1A4x2yNS3V1nDZFYoQavpoX7AEQ9Rqtve#scrollTo=m1An-k0q9PMr """ def __init__(self): self.epoch = 0 def on_epoch_begin(self, model): print(f'{datetime.now()}: Model training epoch #{self.epoch} began') def on_epoch_end(self, model): print(f'{datetime.now()}: Model training epoch #{self.epoch} ended') self.epoch += 1

30.15

105

0.689884

71

603

5.746479

0.577465

0.088235

0.04902

0.073529

0.259804

0

0.028926

0.197347

603

19

106

31.736842

0.81405

0.257048

0

0.273585

0

1

0.3

false

0

0.2

0

0.6

0.2

0

null

0

null

0

1

0

1

0

2

b9f70879cfaf2dc4de3fb20ae608378a0a8658a0

2,394

py

Python

ucb_cs61A/lab/lab02/lab02_2015/lab02/lab02.py

tavaresdong/courses-notes

7fb89103bca679f5ef9b14cbc777152daac1402e

[ "MIT" ]

null

ucb_cs61A/lab/lab02/lab02_2015/lab02/lab02.py

tavaresdong/courses-notes

7fb89103bca679f5ef9b14cbc777152daac1402e

[ "MIT" ]

1

2017-07-31T08:15:26.000Z

ucb_cs61A/lab/lab02/lab02_2015/lab02/lab02.py

tavaresdong/courses-notes

7fb89103bca679f5ef9b14cbc777152daac1402e

[ "MIT" ]

1

2019-10-06T16:52:31.000Z

"""Lab 2: Higher Order Functions & Lambdas""" from utils import letter_to_num, num_to_letter, looper, mirror_letter def make_derivative(f, h=1e-5): """Returns a function that approximates the derivative of f. Recall that f'(a) = (f(a + h) - f(a)) / h as h approaches 0. We will approximate the derivative by choosing a very small value for h. >>> square = lambda x: x*x >>> derivative = make_derivative(square) >>> result = derivative(3) >>> round(result, 3) # approximately 2*3 6.0 """ "*** YOUR CODE HERE ***" def derivative(point): return (f(point + h) - f(point)) / h return derivative # String Transformers from operator import add, sub def caesar_generator(num, op): """Returns a one-argument Caesar cipher function. The function should "rotate" a letter by an integer amount 'num' using an operation 'op' (either add or sub). You may use the provided `letter_to_num` and `num_to_letter` functions, which will map all lowercase letters a-z to 0-25 and all uppercase letters A-Z to 26-51. >>> letter_to_num('a') 0 >>> letter_to_num('c') 2 >>> num_to_letter(3) 'd' >>> caesar2 = caesar_generator(2, add) >>> caesar2('a') 'c' >>> brutus3 = caesar_generator(3, sub) >>> brutus3('d') 'a' """ "*** YOUR CODE HERE ***" return lambda x : num_to_letter(op(letter_to_num(x), num)) # Encryption and Decryption def make_encrypter(f1, f2, f3): """Generates an "encrypter" that applies a specific set of encryption functions on the message >>> caesar3 = caesar_generator(3, add) >>> caesar2 = caesar_generator(2, add) >>> encrypter = make_encrypter(caesar2, mirror_letter, caesar3) >>> encrypter('abcd') # caesar2(mirror_letter(caesar3('a'))) -> 'y' 'yxwv' """ f1, f2, f3 = looper(f1), looper(f2), looper(f3) "*** YOUR CODE HERE ***" return lambda x : f1(f2(f3(x))) def make_decrypter(f1, f2, f3): """Generates a "decrypter" function. >>> brutus3 = caesar_generator(3, sub) >>> brutus2 = caesar_generator(2, sub) >>> decrypter = make_decrypter(brutus2, mirror_letter, brutus3) >>> decrypter('yxwv') # brutus3(mirror_letter(brutus2('y'))) = 'a' 'abcd' """ f1, f2, f3 = looper(f1), looper(f2), looper(f3) "*** YOUR CODE HERE ***" return lambda x : f3(f2(f1(x)))

28.843373

84

0.62406

336

2,394

4.339286

0.330357

0.072016

0.037723

0.037037

0.163923

0.092593

0.075446

0

0.035695

0.227652

2,394

82

85

29.195122

0.752839

0.625313

0

0.333333

0

0.124294

0

1

0.277778

false

0

0.111111

0.055556

0.666667

0

null

0

null

0

1

0

1

0

2

6a190cd499dbb89c719d97cb729f8f182774c9c8

375

py

Python

rackio/dao/core.py

crivero7/rackio-framework

d3362041b1fc4c3af7eb51ac06b1f0f1b5aa497c

[ "MIT" ]

null

rackio/dao/core.py

crivero7/rackio-framework

d3362041b1fc4c3af7eb51ac06b1f0f1b5aa497c

[ "MIT" ]

null

rackio/dao/core.py

crivero7/rackio-framework

d3362041b1fc4c3af7eb51ac06b1f0f1b5aa497c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """rackio/dao/core.py This module implements Core Data Object. """ from ..engine import CVTEngine from ..logger import QueryLogger, LoggerEngine class RackioDAO: tag_engine = CVTEngine() logger_engine = LoggerEngine() query_logger = QueryLogger() def get_app(self): from ..core import Rackio return Rackio()

17.857143

46

0.666667

43

375

5.72093

0.651163

0

0.003436

0.224

375

21

47

17.857143

0.841924

0.221333

0

1

0.111111

false

0

0.333333

0

1

0

null

0

null

0

1

0

1

0

2

6a19141ebda644f3bac452ed368ebd79184e18dc

1,085

py

Python

from_json.py

IDEA-Research-Group/conformancechecking4spark

c8fb8d76ab86cc76654bba7cbd19d678e86ef8cd

[ "IJG" ]

null

from_json.py

IDEA-Research-Group/conformancechecking4spark

c8fb8d76ab86cc76654bba7cbd19d678e86ef8cd

[ "IJG" ]

null

from_json.py

IDEA-Research-Group/conformancechecking4spark

c8fb8d76ab86cc76654bba7cbd19d678e86ef8cd

[ "IJG" ]

null

from conformancechecking4spark.utils import create_default_spark_session from conformancechecking4spark import log_rdd from pyspark.sql import functions as f import os import config from datetime import datetime from pm4py.objects.log.exporter.xes import exporter as xes_exporter from pm4py.objects.log.obj import EventStream, EventLog spark_session = create_default_spark_session() def timestamp_to_iso_str(ts): return datetime.fromtimestamp(ts/1000).isoformat() udf = f.udf(lambda x: timestamp_to_iso_str(x)) df = spark_session.read\ .json(os.path.join(config.ROOT_DIR, "data/logs_leche.json"), multiLine = "true")\ .filter(f.col("stage") == "Fabricacion")\ .filter(f.col("timestamp").isNotNull())\ .withColumn("timestamp", udf(f.col("timestamp"))) logs_formated = log_rdd.format_df(df, case_id="id", task_id="task", event_timestamp="timestamp").collect() xes_exporter.apply(EventLog(EventStream(logs_formated)), os.path.join(config.ROOT_DIR, "data/logs_leche.xes")) # x = xes_importer.apply(os.path.join(config.ROOT_DIR, "data/M2.xes")) # print(type(x))

36.166667

110

0.770507

158

1,085

5.101266

0.43038

0.059553

0.037221

0.059553

0.122829

0.08933

0

0.009165

0.094931

1,085

30

111

36.166667

0.811609

0.076498

0

0.101

0

1

0.052632

false

0

0.421053

0.052632

0.526316

0

null

0

null

0

1

0

1

0

2

6a1a707f8bc186fb2f5a1d9a31e01fab3f9ec3e2

748

py

Python

demisto_sdk/commands/common/content/objects/pack_objects/widget/widget.py

cpforbes/demisto-sdk

4fe122e6f614e605f96bd47aa089b215dc7c2c5f

[ "MIT" ]

null

demisto_sdk/commands/common/content/objects/pack_objects/widget/widget.py

cpforbes/demisto-sdk

4fe122e6f614e605f96bd47aa089b215dc7c2c5f

[ "MIT" ]

null

demisto_sdk/commands/common/content/objects/pack_objects/widget/widget.py

cpforbes/demisto-sdk

4fe122e6f614e605f96bd47aa089b215dc7c2c5f

[ "MIT" ]

null

from typing import Union import demisto_client from demisto_sdk.commands.common.constants import WIDGET from demisto_sdk.commands.common.content.objects.pack_objects.abstract_pack_objects.json_content_object import \ JSONContentObject from wcmatch.pathlib import Path class Widget(JSONContentObject): def __init__(self, path: Union[Path, str]): super().__init__(path, WIDGET) def upload(self, client: demisto_client): """ Upload the widget to demisto_client Args: client: The demisto_client object of the desired XSOAR machine to upload to. Returns: The result of the upload command from demisto_client """ return client.import_widget(file=self.path)

31.166667

112

0.720588

94

748

5.510638

0.425532

0.125483

0.054054

0.084942

0.108108

0

0.213904

748

23

113

32.521739

0.880952

0.252674

0

1

0.181818

false

0

0.545455

0

0.909091

0

null

0

null

0

1

0

1

0

2

6a23f1771f1ea86d89316c9cb32670b8ac9d18f1

500

py

Python

primaseru/admin.py

Lukmanhakim112/ppdb

c6179478b4c1f0b6cec77a8a059a6e418f6263f1

[ "MIT" ]

null

primaseru/admin.py

Lukmanhakim112/ppdb

c6179478b4c1f0b6cec77a8a059a6e418f6263f1

[ "MIT" ]

null

primaseru/admin.py

Lukmanhakim112/ppdb

c6179478b4c1f0b6cec77a8a059a6e418f6263f1

[ "MIT" ]

null

from django.contrib import admin from .models import StudentProfile, FatherStudentProfile, MotherStudentProfile, StudentGuardianProfile, MajorStudent, PhotoProfile, StudentFile, RegisterSchedule admin.site.register(StudentProfile) admin.site.register(FatherStudentProfile) admin.site.register(MotherStudentProfile) admin.site.register(StudentGuardianProfile) admin.site.register(MajorStudent) admin.site.register(PhotoProfile) admin.site.register(StudentFile) admin.site.register(RegisterSchedule)

38.461538

161

0.868

48

500

9.041667

0.333333

0.165899

0.313364

0

0.05

500

12

162

41.666667

0.913684

0

1

0

true

0

0.2

0

0.2

0

null

0

1

0

null

0

1

0

2

6a28afe94b3342e27b30213c63563d6b863351c6

4,615

py

Python

api/models.py

AppointmentGuru/CodeGuru

d8871ff68b02cc5e9833a01b090572384be2bdaf

[ "MIT" ]

null

api/models.py

AppointmentGuru/CodeGuru

d8871ff68b02cc5e9833a01b090572384be2bdaf

[ "MIT" ]

null

api/models.py

AppointmentGuru/CodeGuru

d8871ff68b02cc5e9833a01b090572384be2bdaf

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models from django.contrib.postgres.fields import ArrayField """ Chapter -> Section -> Code -> Code -> ... """ class Chapter(models.Model): name = models.CharField(max_length=250, blank=True, null=True) description = models.TextField(blank=True, null=True) class Section(models.Model): parent = models.ForeignKey('Chapter', blank=True, null=True) name = models.CharField(max_length=250, blank=True, null=True) description = models.TextField(blank=True, null=True) class Code(models.Model): section = models.ForeignKey('Section', blank=True, null=True) parent = models.ForeignKey('Code', blank=True, null=True) name = models.CharField(max_length=250, blank=True, null=True, db_index=True) description = models.TextField(blank=True, null=True, db_index=True) includes = ArrayField(models.TextField(), blank=True, null=True, help_text='The word \'Includes\' appears immediately under certain categories to further define, or give examples of, the content of the category.') excludes1 = ArrayField(models.TextField(), blank=True, null=True, help_text='A type 1 Excludes note is a pure excludes. It means \'NOT CODED HERE!\' An Excludes1 note indicates that the code excluded should never be used at the same time as the code above the Excludes1 note. An Excludes1 is used when two conditions cannot occur together, such as a congenital form versus an acquired form of the same condition.') excludes2 = ArrayField(models.TextField(), blank=True, null=True, help_text='A type 2 excludes note represents \'Not included here\'. An excludes2 note indicates that the condition excluded is not part of the condition it is excluded from but a patient may have both conditions at the same time. When an Excludes2 note appears under a code it is acceptable to use both the code and the excluded code together.') inclusion_term = ArrayField(models.TextField(), blank=True, null=True, help_text='Certain conditions have both an underlying etiology and multiple body system manifestations due to the underlying etiology. For such conditions the ICD-10-CM has a coding convention that requires the underlying condition be sequenced first followed by the manifestation. Wherever such a combination exists there is a \'use additional code\' note at the etiology code, and a \'code first\' note at the manifestation code. These instructional notes indicate the proper sequencing order of the codes, etiology followed by manifestation. In most cases the manifestation codes will have in the code title, \'in diseases classified elsewhere.\' Codes with this title are a component of the etiology/ manifestation convention. The code title indicates that it is a manifestation code. \'In diseases classified elsewhere\' codes are never permitted to be used as first listed or principal diagnosis codes. They must be used in conjunction with an underlying condition code and they must be listed following the underlying condition.') use_additional_code = ArrayField(models.TextField(), blank=True, null=True, help_text='A code also note instructs that 2 codes may be required to fully describe a condition but the sequencing of the two codes is discretionary, depending on the severity of the conditions and the reason for the encounter.') class ProcessCode(models.Model): name = models.CharField(max_length=7, blank=True, null=True, db_index=True) practice_type_code = models.CharField(max_length=5, blank=True, null=True, db_index=True) description = models.TextField(blank=True, null=True, db_index=True) discovery_rate = models.DecimalField(decimal_places=2, max_digits=10, default=0, db_index=True) class ICD10Code(models.Model): '''Deprecated .. use above ^^ ''' def __str__(self): return '{}: {}'.format(self.code, self.title) parent = models.ForeignKey('ICD10Code', blank=True, null=True) title = models.CharField(max_length=250, blank=True, null=True) code = models.CharField(max_length=20, blank=True, null=True) see = models.CharField(max_length=250, blank=True, null=True) level = models.PositiveIntegerField(blank=True, null=True) raw = models.TextField(default='{}') @property def path(self): code_path = [] code = self while code.parent: if code.title is not None: part = '[{}] {}'.format(code.code, code.title) code_path.append(part) code = code.parent code_path.reverse() return (" > ").join(code_path)

76.916667

1,117

0.742795

662

4,615

5.117825

0.302115

0.058442

0.084416

0.11039

0.286895

0.250295

0.227273

0.171783

0

0.01039

0.165764

4,615

59

1,118

78.220339

0.86961

0.010834

0

0.133333

0

0.155556

0.43082

0

1

0.044444

false

0

0.066667

0.022222

0.8

0

null

0

1

0

null

0

1

0

2

6a316af543b65c5417ab353e57bdde93cbdddc73

664

py

Python

Algorithms/Minimum Path Sum.py

KushRabadia/Leetcode

f6af5bf0b9ef8daf9870570b52012297128aa9e1

[ "MIT" ]

null

Algorithms/Minimum Path Sum.py

KushRabadia/Leetcode

f6af5bf0b9ef8daf9870570b52012297128aa9e1

[ "MIT" ]

null

Algorithms/Minimum Path Sum.py

KushRabadia/Leetcode

f6af5bf0b9ef8daf9870570b52012297128aa9e1

[ "MIT" ]

null

class Solution: def minPathSum(self, grid: List[List[int]]) -> int: if len(grid) <= 0 or grid is None: return 0 rows = len(grid) cols = len(grid[0]) for r in range(rows): for c in range(cols): if r==0 and c==0: continue if r-1<0: grid[r][c] = grid[r][c] + grid[r][c-1] elif c-1<0: grid[r][c] = grid[r][c] + grid[r-1][c] else: grid[r][c] = grid[r][c] + min(grid[r-1][c], grid[r][c-1]) return grid[rows-1][cols-1]

33.2

92

0.376506

94

664

2.659574

0.297872

0.2

0.192

0.2

0.24

0.204

0.152

0

0.042614

0.46988

664

19

93

34.947368

0.667614

0

1

0.058824

false

0

0.235294

0

null

0

1

0

null

0

2

6a31ece1ffcd44964e0cbcf7dfa05deed79fd220

685

py

Python

daily-coding-problem/Amazon/problem_7.py

HouariZegai/problem-solving

77f2b397cfc798e7a0933daf65b849a81192f9d8

[ "MIT" ]

1

2022-03-24T02:02:40.000Z

daily-coding-problem/Amazon/problem_7.py

HouariZegai/problem-solving

77f2b397cfc798e7a0933daf65b849a81192f9d8

[ "MIT" ]

null

daily-coding-problem/Amazon/problem_7.py

HouariZegai/problem-solving

77f2b397cfc798e7a0933daf65b849a81192f9d8

[ "MIT" ]

1

2022-03-24T02:03:21.000Z

""" Asked by: Amazon [Medium] Given a string s and an integer k, break up the string into multiple lines such that each line has a length of k or less. You must break it up so that words don't break across lines. Each line has to have the maximum possible amount of words. If there's no way to break the text up, then return null. You can assume that there are no spaces at the ends of the string and that there is exactly one space between each word. For example, given the string "the quick brown fox jumps over the lazy dog" and k = 10, you should return: ["the quick", "brown fox", "jumps over", "the lazy", "dog"]. No string in the list has a length of more than 10. """

45.666667

122

0.731387

132

685

3.795455

0.568182

0.053892

0.043912

0.047904

0.139721

0

0.007366

0.207299

685

15

123

45.666667

0.915285

0.986861

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

6a37c091ccab554ea5fd5aee771040f06549a64c

375

py

Python

apps/projects/signals.py

jfterpstra/onepercentclub-site

43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e

[ "BSD-3-Clause" ]

7

2015-01-02T19:31:14.000Z

2021-03-22T17:30:23.000Z

apps/projects/signals.py

jfterpstra/onepercentclub-site

43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e

[ "BSD-3-Clause" ]

1

2015-03-06T08:34:59.000Z

apps/projects/signals.py

jfterpstra/onepercentclub-site

43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e

[ "BSD-3-Clause" ]

null

from django.dispatch import Signal # This signal indicates that the supplied project has been funded. # # :param first_time_funded: Whether or not the project has reached the funded state before. For instance, a project # can become "unfunded" when a donation that was pending fails. # project_funded = Signal(providing_args=["first_time_funded"])

41.666667

115

0.738667

52

375

5.211538

0.692308

0.073801

0.110701

0

0.202667

375

8

116

46.875

0.906355

0.709333

0

0.165049

0

1

0

false

0

0.5

0

0.5

0

null

0

1

0

null

0

1

0

2

6a4a54d27668c7970e5dabc84b44fa1b0c0b94fb

8,757

py

Python

tests/test_simplecalc.py

facundobatista/simplecalc

8c0f72ef90be28d16f407ef439275a229dc5aa2e

[ "Apache-2.0" ]

2

2020-03-21T14:38:49.000Z

2020-10-12T12:55:17.000Z

tests/test_simplecalc.py

facundobatista/simplecalc

8c0f72ef90be28d16f407ef439275a229dc5aa2e

[ "Apache-2.0" ]

null

tests/test_simplecalc.py

facundobatista/simplecalc

8c0f72ef90be28d16f407ef439275a229dc5aa2e

[ "Apache-2.0" ]

null

# Copyright 2015-2018 Canonical Ltd. # Copyright 2020 Facundo Batista # All Rights Reserved """Tests for a simple calculator.""" import math from decimal import Decimal from unittest import TestCase import simplecalc class BaseTestCase(TestCase): """Common code for all test cases.""" def check(self, operations): for inp, result in operations: with self.subTest(inp=inp, result=result): if isinstance(result, type) and issubclass(result, Exception): self.assertRaises(result, simplecalc.calc, inp) else: try: calculated = simplecalc.calc(inp) except Exception as err: self.fail("Calculator exploded with %s when %r" % ( err, inp)) else: msg = "%r gave %r (should: %r)" % (inp, calculated, result) if isinstance(result, str): result = Decimal(result) self.assertAlmostEqual(calculated, Decimal(result), places=17, msg=msg) class SimpleIntegersTestCase(BaseTestCase): """Check the basic operations.""" def test_sum(self): self.check([ ('2 + 3', '5'), ('0 + 5', '5'), ('+2', '2'), ('2 + +2', '4'), ]) def test_subtract(self): self.check([ ('2 - 1', '1'), ('4-3', '1'), ('3 -7', '-4'), ('-7', '-7'), ('2 - -2', '4'), ]) def test_product(self): self.check([ ('2 * 5', '10'), ('-3 * 2', '-6'), ('3 * -2', '-6'), ('0 * 81256894562934562834652834562345', '0'), ('239846298462483 * 2429784263942', '582774761768877502456687986'), ('-7 * -2', '14'), ]) def test_division(self): self.check([ ('7 / 2', '3.5'), ('8 / 4', '2'), ('2 / 17', Decimal(2) / 17), ('2 / 124124124124', Decimal(2) / 124124124124), ]) def test_exponentiation(self): self.check([ ('2 ** 3', '8'), ('0 ** 2', '0'), ('13513515135153135 ** 0', '1'), ('-3 ** 2', '9'), ('-3 ** 3', '-27'), ('10 ** -1', '0.1'), ('2 ** -2', '0.25'), ('2 ** 1500', Decimal(2) ** 1500), ('2.5 ** 1500', Decimal('2.5') ** 1500), ]) class FloatTestCase(BaseTestCase): """Support floats.""" def test_simple_ops(self): self.check([ ('2 + 0.3', '2.3'), ('2.3 - 1.1', '1.2'), ('3.3 ** 0', '1'), ('144 ** 0.5', '12'), ('12 / 4.0', '3'), ]) def test_alternate_formats(self): self.check([ ('2 + .5', '2.5'), ('2 + 0,3', '2.3'), ('2 + ,3', '2.3'), ('1e2', '100'), ('1e+2', '100'), ('1e-2', '0.01'), ('1E2', '100'), ('1E+2', '100'), ('1E-2', '0.01'), ('1e2.3', ValueError), ('2,', '2'), ('2,e3', '2000'), ('2.', '2'), ('2.e3', '2000'), ]) class GroupingTestCase(BaseTestCase): """Different combination of parentheses.""" def test_simple(self): self.check([ ('(2 + 3)', '5'), ('3 - (2)', '1'), ('3 - (-2)', '5'), ('(2 + 3) * 3', '15'), ('2 + (3 * 5)', '17'), ]) def test_multiple(self): self.check([ ('((2 + 3) * 2) ** (1 + 0)', '10'), ]) class SpecialOperationsTestCase(BaseTestCase): """Some special operations.""" def test_factorial(self): self.check([ ('0!', '1'), ('1!', '1'), ('3!', '6'), ('2.3!', ValueError), ('-5!', ValueError), ('%d!' % (simplecalc.MAX_FACTORIAL_INP + 1,), ArithmeticError), ]) class FunctionsTestCase(BaseTestCase): """Allow to call functions.""" def test_frommath_operations(self): self.check([ ('acos(1)', '0'), ('acosh(2)', '1.316957896924816573402949871'), ('asin(0)', '0'), ('asinh(4)', '2.094712547261101232010105377'), ('atan(5)', '1.373400766945015893938375484'), ('atanh(0)', '0'), ('ceil(6.1)', '7'), ('cos(8)', '-0.1455000338086135380777363935'), ('cosh(9)', '4051.54202549259434817940928'), ('degrees(10)', '572.9577951308232286464772187'), ('exp(13)', '442413.3920089205033261027759'), ('factorial(16)', '20922789888000'), ('floor(1.7)', '1'), ('gamma(6)', '120'), ('radians(32)', '0.5585053606381854551798937791'), ('sin(33)', '0.9999118601072671808083214273'), ('sinh(34)', '291730871263727.4375'), ('sqrt(35)', '5.916079783099616042567328292'), ('tan(36)', '7.750470905699147650125269138'), ('tanh(37)', '1'), ('trunc(38)', '38'), ('hypot(4, 3)', '5'), ('hypot(4 3)', '5'), ('pow(2, 3)', '8'), # without parens also ('acos 1', '0'), ('acosh 2', '1.316957896924816573402949871'), ('asin 0', '0'), ('asinh 4', '2.094712547261101232010105377'), ('atan 5', '1.373400766945015893938375484'), ('atanh 0', '0'), ('ceil 6.1', '7'), ('cos 8', '-0.1455000338086135380777363935'), ('cosh 9', '4051.54202549259434817940928'), ('degrees 10', '572.9577951308232286464772187'), ('exp 13', '442413.3920089205033261027759'), ('factorial 16', '20922789888000'), ('floor 1.7', '1'), ('gamma 6', '120'), ('radians 32', '0.5585053606381854551798937791'), ('sin 33', '0.9999118601072671808083214273'), ('sinh 34', '291730871263727.4375'), ('sqrt 35', '5.916079783099616042567328292'), ('tan 36', '7.750470905699147650125269138'), ('tanh 37', '1'), ('trunc 38', '38'), ('hypot 4, 3', '5'), ('hypot 4 3', '5'), ('pow 2, 3', '8'), ('(pow 2, 3) * 5', '40'), ]) def test_math_altered(self): toobig = simplecalc.MAX_FACTORIAL_INP + 1 self.check([ ('log(10)', '1'), ('ln(2.718281828459045)', '1'), ('log2(64)', '6'), ('log(64, 2)', '6'), ('distance(4, 3)', '5'), ('factorial(%d)' % (toobig,), ArithmeticError), ]) def test_frombuiltin(self): self.check([ ('int(2.3)', '2'), ('int(44, 5)', '24'), ('round(12.1234, 2)', '12.12'), ('abs(-55)', '55'), ]) class ValuesTestCase(BaseTestCase): """Allow to use some names.""" def test_basic(self): self.check([ ('e', Decimal(math.e)), ('pi', Decimal(math.pi)), ]) def test_in_operations(self): self.check([ ('sin(pi / 2)', '1'), ('ln(e)', '1'), ]) class ComparisonsTestCase(BaseTestCase): """Check comparisons.""" def test_notallowed(self): self.check([ ('2 + (5 < 6)', ValueError), ('1 < 2 < 3', ValueError), ('1 < 2 > 3', ValueError), ('1 < 2 == 3', ValueError), ]) def test_lessthan(self): self.check([ ('2 < 1', False), ('2 < 3', True), ('4 + 2 < 6', False), ('2 + (5 < 6)', ValueError), ]) def test_greaterthan(self): self.check([ ('7 > -8', True), ('7 > 8', False), ('0 > 0', False), ]) def test_lessequalthan(self): self.check([ ('2 <= 3', True), ('2 <= 2', True), ('2 <= 1', False), ]) def test_greaterequalthan(self): self.check([ ('2 >= 1', True), ('2 >= 2', True), ('2 >= 3', False), ]) def test_equality(self): self.check([ ('2 == 2', True), ('2 == 1', False), ('-2 == 2', False), ('2 = 2', True), ('2 === 2', True), ]) def test_different(self): self.check([ ('2 != 1', True), ('2 != 2', False), ('2 != 3', True), ('2 <> 2', False), ])

29.287625

95

0.410871

829

8,757

4.302774

0.25573

0.014017

0.076535

0.054948

0.404542

0.340342

0.324082

0.320157

0.308382

0.294645

0

0.237901

0.38415

8,757

298

96

29.385906

0.423512

0.039397

0

0.197531

0

0.249073

0.086572

0

0.00823

1

0.09465

false

0

0.016461

0

0.144033

0

null

0

1

0

1

0

null

0

2

dbe823d848d5486e3ac6d7d2500214da2ae58893

245

py

Python

src/PlayFair/CheckButton.py

Paarzivall/Praca-Inzynierska

f6e7b0ba6a89ec7406d0553cbd6c9ac0db7651ee

[ "MIT" ]

null

src/PlayFair/CheckButton.py

Paarzivall/Praca-Inzynierska

f6e7b0ba6a89ec7406d0553cbd6c9ac0db7651ee

[ "MIT" ]

null

src/PlayFair/CheckButton.py

Paarzivall/Praca-Inzynierska

f6e7b0ba6a89ec7406d0553cbd6c9ac0db7651ee

[ "MIT" ]

null

import src.MainImages as main_img class CheckButton(object): def __init__(self): self.image = main_img.try_open_button self.position = (500, 450) def draw(self, surface): surface.blit(self.image, self.position)

24.5

47

0.677551

33

245

4.787879

0.666667

0.088608

0

0.031414

0.220408

245

10

47

24.5

0.795812

0

1

0.285714

false

0

0.142857

0

0.571429

0

null

0

null

0

1

0

1

0

2

dbf69936a33ed64d8d0960ca2c562a62619d16e2

825

py

Python

tests/roadmap/test_random_sampler.py

omron-sinicx/ctrm

83e7fe4abb8ad8559bfb6e64170878575a03fd20

[ "MIT" ]

8

2022-01-25T08:04:32.000Z

2022-02-20T10:47:40.000Z

tests/roadmap/test_random_sampler.py

omron-sinicx/ctrm

83e7fe4abb8ad8559bfb6e64170878575a03fd20

[ "MIT" ]

null

tests/roadmap/test_random_sampler.py

omron-sinicx/ctrm

83e7fe4abb8ad8559bfb6e64170878575a03fd20

[ "MIT" ]

null

import numpy as np import pytest from ctrm.environment import Instance, ObstacleSphere from ctrm.roadmap import ( get_timed_roadmaps_fully_random, get_timed_roadmaps_random, get_timed_roadmaps_random_common, ) @pytest.fixture def ins(): return Instance( 2, [np.array([0, 0]), np.array([1, 0])], [np.array([1, 1]), np.array([0, 1])], [0.5, 0.5], [0.1, 0.1], [0.1, 0.1], [ObstacleSphere(pos=np.array([0.5, 0.5]), rad=0.2)], 2, ) def test_get_timed_roadmaps_random(ins): kwargs = {"ins": ins, "T": 3, "num": 10} assert len(get_timed_roadmaps_random(**kwargs)) == ins.num_agents assert len(get_timed_roadmaps_fully_random(**kwargs)) == ins.num_agents assert len(get_timed_roadmaps_random_common(**kwargs)) == ins.num_agents

26.612903

76

0.637576

123

825

4.04065

0.300813

0.112676

0.225352

0.221328

0.452716

0.275654

0.197183

0

0.047401

0.207273

825

30

77

27.5

0.712538

0

0.16

0

0.008485

0

0.12

1

0.08

false

0

0.16

0.04

0.28

0

null

0

1

0

null

0

2

e00872684bb202491e7ce3058256ccfc7e250169

969

py

Python

barsystem/src/barsystem/migrations/0004_auto_20150430_1648.py

TkkrLab/barsystem

17d138f19c8f6a61b14477f034d8519bb83e00fb

[ "MIT" ]

1

2016-03-28T16:19:53.000Z

barsystem/src/barsystem/migrations/0004_auto_20150430_1648.py

TkkrLab/barsystem

17d138f19c8f6a61b14477f034d8519bb83e00fb

[ "MIT" ]

11

2015-09-22T20:34:34.000Z

2017-04-12T13:55:27.000Z

barsystem/src/barsystem/migrations/0004_auto_20150430_1648.py

TkkrLab/barsystem

17d138f19c8f6a61b14477f034d8519bb83e00fb

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('barsystem', '0003_product_active'), ] operations = [ migrations.AlterField( model_name='product', name='bar_code', field=models.CharField(default=None, max_length=100, blank=True), ), migrations.AlterField( model_name='product', name='items', field=models.IntegerField(default=None, blank=True), ), migrations.AlterField( model_name='product', name='sort', field=models.IntegerField(default=None, blank=True), ), migrations.AlterField( model_name='product', name='stock_value', field=models.DecimalField(default=None, decimal_places=4, max_digits=10, blank=True), ), ]

27.685714

97

0.582043

91

969

6.021978

0.494505

0.145985

0.182482

0.211679

0.465328

0.392336

0.30292

0

0.0162

0.299278

969

34

98

28.5

0.790869

0.021672

0

0.5

0

0.088795

0

1

0

false

0

0.071429

0

0.178571

0

null

0

1

0

null

0

2

e01359ea7ce9ef9ed28c6bdeb820ddda6b87d448

8,929

py

Python

orttraining/orttraining/eager/opgen/opgen/ast.py

lchang20/onnxruntime

97b8f6f394ae02c73ed775f456fd85639c91ced1

[ "MIT" ]

6,036

2019-05-07T06:03:57.000Z

2022-03-31T17:59:54.000Z

orttraining/orttraining/eager/opgen/opgen/ast.py

lchang20/onnxruntime

97b8f6f394ae02c73ed775f456fd85639c91ced1

[ "MIT" ]

5,730

2019-05-06T23:04:55.000Z

2022-03-31T23:55:56.000Z

orttraining/orttraining/eager/opgen/opgen/ast.py

lchang20/onnxruntime

97b8f6f394ae02c73ed775f456fd85639c91ced1

[ "MIT" ]

1,566

2019-05-07T01:30:07.000Z

2022-03-31T17:06:50.000Z

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. import io from typing import TextIO, List, Union from opgen.lexer import Token class Node(object): def __init__(self): self.tokens = [] def write(self, writer: TextIO): raise NotImplementedError(self.write) def __str__(self): writer = io.StringIO() self.write(writer) return writer.getvalue() #region Syntax List class SyntaxListMember(Node): def __init__(self, member: Node, trailing_separator: Token = None): super().__init__() self.member = member self.trailing_separator = trailing_separator def write(self, writer: TextIO): self.member.write(writer) if self.trailing_separator: writer.write(self.trailing_separator.value) writer.write(" ") class SyntaxList(Node): open_token: Token members: List[SyntaxListMember] close_token: Token def __init__(self): super().__init__() self.open_token = None self.members = [] self.close_token = None def __iter__(self): return self.members.__iter__() def __getitem__(self, key): return self.members.__getitem__(key) def __len__(self): return len(self.members) def append(self, member: Node, trailing_separator: Token): self.members.append(SyntaxListMember(member, trailing_separator)) def write(self, writer: TextIO): if self.open_token: writer.write(self.open_token.value) for member in self.members: member.write(writer) if self.close_token: writer.write(self.close_token.value) #endregion #region Expressions class Expression(Node): pass class LiteralExpression(Expression): def __init__(self, token: Token): super().__init__() self.token = token def write(self, writer: TextIO): writer.write(self.token.value) class ArrayExpression(Expression): def __init__(self, elements: SyntaxList): self.elements = elements #endregion #region Types class Type(Node): def _desugar_self(self) -> "Type": return self def desugar(self) -> "Type": desugared = self while True: _desugared = desugared._desugar_self() if _desugared == desugared: return desugared desugared = _desugared class ExpressionType(Type): def __init__(self, expression: Expression): super().__init__() self.expression = expression def write(self, writer: TextIO): self.expression.write(writer) class ConcreteType(Type): def __init__(self, identifier_tokens: Union[Token, List[Token]]): super().__init__() if isinstance(identifier_tokens, Token): self.identifier_tokens = [identifier_tokens] else: self.identifier_tokens = identifier_tokens def write(self, writer: TextIO): for identifier_token in self.identifier_tokens: writer.write(identifier_token.value) class ConstType(Type): def __init__(self, const_token: Token, inner_type: Type): super().__init__() self.const_token = const_token self.inner_type = inner_type def write(self, writer: TextIO): writer.write(self.const_token.value) writer.write(" ") self.inner_type.write(writer) def _desugar_self(self) -> Type: return self.inner_type class ReferenceType(Type): def __init__(self, inner_type: Type, reference_token: Token): super().__init__() self.inner_type = inner_type self.reference_token = reference_token def write(self, writer: TextIO): self.inner_type.write(writer) writer.write(self.reference_token.value) def _desugar_self(self) -> Type: return self.inner_type class ModifiedType(Type): def __init__(self, base_type: Type): super().__init__() self.base_type = base_type def _desugar_self(self) -> Type: return self.base_type class OptionalType(ModifiedType): def __init__(self, base_type: Type, token: Token): super().__init__(base_type) self.token = token def write(self, writer: TextIO): self.base_type.write(writer) writer.write(self.token.value) class ArrayType(ModifiedType): def __init__( self, base_type: Type, open_token: Token, length_token: Token, close_token: Token): super().__init__(base_type) self.open_token = open_token self.length_token = length_token self.close_token = close_token def write(self, writer: TextIO): self.base_type.write(writer) writer.write(self.open_token.value) if self.length_token: writer.write(self.length_token.value) writer.write(self.close_token.value) class TemplateType(Type): def __init__( self, identifier_tokens: Union[Token, List[Token]], type_arguments: SyntaxList): super().__init__() if isinstance(identifier_tokens, Token): self.identifier_tokens = [identifier_tokens] else: self.identifier_tokens = identifier_tokens self.type_arguments = type_arguments def write(self, writer: TextIO): for identifier_token in self.identifier_tokens: writer.write(identifier_token.value) self.type_arguments.write(writer) class TupleMemberType(Type): def __init__(self, element_type: Type, element_name: Token): super().__init__() self.element_type = element_type self.element_name = element_name def write(self, writer: TextIO): self.element_type.write(writer) def _desugar_self(self) -> Type: return self.element_name class TupleType(Type): def __init__(self, elements: SyntaxList): super().__init__() self.elements = elements def write(self, writer: TextIO): self.elements.write(writer) class AliasInfo(Node): before_set: List[str] after_set: List[str] contained_types: List[Type] tokens: List[Token] def __init__(self): super().__init__() self.before_set = [] self.after_set = [] self.contained_types = [] self.tokens = [] self.is_writable = False def __str__(self): buffer = io.StringIO() self.write(buffer) return buffer.getvalue() def __eq__(self, obj): return isinstance(obj, AliasInfo) and str(self) == str(obj) def __ne__(self, obj): return not self.__eq__(obj) def write(self, writer: TextIO): writer.write("(") writer.write("|".join(self.before_set)) if self.is_writable: writer.write("!") writer.write(" -> ") writer.write("|".join(self.after_set)) writer.write(")") class AliasInfoType(Type): def __init__(self, inner_type: Type, alias_info: AliasInfo): super().__init__() self.inner_type = inner_type self.alias_info = alias_info self.inner_type.alias_info = alias_info def write(self, writer: TextIO): self.inner_type.write(writer) self.alias_info.write(writer) def _desugar_self(self) -> Type: return self.inner_type class KWArgsSentinelType(Type): def __init__(self, token: Token): super().__init__() self.token = token def write(self, writer: TextIO): writer.write(self.token.value) class TensorType(ConcreteType): pass class IntType(ConcreteType): pass class FloatType(ConcreteType): pass class BoolType(ConcreteType): pass class StrType(ConcreteType): pass class ScalarType(ConcreteType): pass class ScalarTypeType(ConcreteType): pass class DimnameType(ConcreteType): pass class GeneratorType(ConcreteType): pass class TensorOptionsType(ConcreteType): pass class LayoutType(ConcreteType): pass class DeviceType(ConcreteType): pass class MemoryFormatType(ConcreteType): pass class QSchemeType(ConcreteType): pass class StorageType(ConcreteType): pass class ConstQuantizerPtrType(ConcreteType): pass class StreamType(ConcreteType): pass #region Decls class Decl(Node): pass class ParameterDecl(Decl): def __init__( self, parameter_type: Type, identifier: Token = None, equals: Token = None, default_value: Expression = None): super().__init__() self.parameter_type = parameter_type self.identifier = identifier self.equals = equals self.default_value = default_value def write(self, writer: TextIO): self.parameter_type.write(writer) if self.identifier: writer.write(" ") writer.write(self.identifier.value) class FunctionDecl(Decl): def __init__( self, identifier: Token, parameters: SyntaxList, return_type: Type = None, semicolon: Token = None, arrow: Token = None): super().__init__() self.is_leaf = False self.identifier = identifier self.return_type = return_type self.parameters = parameters self.semicolon = semicolon self.arrow = arrow def get_parameter(self, identifier: str) -> ParameterDecl: for param in self.parameters: id = param.member.identifier if id and id.value == identifier: return param.member return None class TranslationUnitDecl(Decl): def __init__(self, decls: List[FunctionDecl]): super().__init__() self.decls = decls def __iter__(self): return self.decls.__iter__() #endregion

25.731988

69

0.70971

1,094

8,929

5.477148

0.130713

0.048064

0.038551

0.051068

0.404373

0.355808

0.285214

0.213785

0.194092

0

0.181991

8,929

347

70

25.731988

0.820372

0.019711

0

0.377778

0

0.002287

0

1

0.203704

false

0.07037

0.011111

0.044444

0.455556

0

null

0

null

0

1

0

1

0

2

e01d31ae690a7e714bd7b6f8f97399563e0fc2ee

489

py

Python

mongoengine/__init__.py

alex/mongoengine

3c1e7af5bb4e5d2360ea525ab54ee4c85e6d523e

[ "MIT" ]

1

2015-11-08T12:46:12.000Z

mongoengine/__init__.py

alex/mongoengine

3c1e7af5bb4e5d2360ea525ab54ee4c85e6d523e

[ "MIT" ]

null

mongoengine/__init__.py

alex/mongoengine

3c1e7af5bb4e5d2360ea525ab54ee4c85e6d523e

[ "MIT" ]

null

import document from document import * import fields from fields import * import connection from connection import * import queryset from queryset import * __all__ = (document.__all__ + fields.__all__ + connection.__all__ + queryset.__all__) __author__ = 'Harry Marr' VERSION = (0, 3, 0) def get_version(): version = '%s.%s' % (VERSION[0], VERSION[1]) if VERSION[2]: version = '%s.%s' % (version, VERSION[2]) return version __version__ = get_version()

19.56

67

0.678937

60

489

5.033333

0.333333

0.119205

0.059603

0.10596

0

0.017995

0.204499

489

24

68

20.375

0.758355

0

0.040984

0

1

0.055556

false

0

0.444444

0

0.555556

0

null

0

null

0

1

0

1

0

2

e02206fad8b2780bb2f890a64c63d8df73ea7aae

11,478

py

Python

lenstronomy/LensModel/profile_list_base.py

franyancr/lenstronomy

3a7b33512a474bf1796d23276d9028b580580cf1

[ "MIT" ]

null

lenstronomy/LensModel/profile_list_base.py

franyancr/lenstronomy

3a7b33512a474bf1796d23276d9028b580580cf1

[ "MIT" ]

null

lenstronomy/LensModel/profile_list_base.py

franyancr/lenstronomy

3a7b33512a474bf1796d23276d9028b580580cf1

[ "MIT" ]

null

import numpy as np class ProfileListBase(object): """ class that manages the list of lens model class instances. This class is applicable for single plane and multi plane lensing """ def __init__(self, lens_model_list, numerical_alpha_class=None, lens_redshift_list=None, z_source_convention=None): """ :param lens_model_list: list of strings with lens model names :param numerical_alpha_class: an instance of a custom class for use in NumericalAlpha() lens model deflection angles as a lens model. See the documentation in Profiles.numerical_deflections """ self.func_list = self._load_model_instances(lens_model_list, custom_class=numerical_alpha_class, lens_redshift_list=lens_redshift_list, z_source_convention=z_source_convention) self._model_list = lens_model_list def _load_model_instances(self, lens_model_list, custom_class=None, lens_redshift_list=None, z_source_convention=None): if lens_redshift_list is None: lens_redshift_list = [None] * len(lens_model_list) func_list = [] imported_classes = {} for i, lens_type in enumerate(lens_model_list): # those models require a new instance per profile as certain pre-computations are relevant per individual profile if lens_type in ['NFW_MC', 'CHAMELEON', 'DOUBLE_CHAMELEON', 'TRIPLE_CHAMELEON', 'NFW_ELLIPSE_GAUSS_DEC', 'CTNFW_GAUSS_DEC', 'INTERPOL', 'INTERPOL_SCALED', 'NIE', 'NIE_SIMPLE']: lensmodel_class = self._import_class(lens_type, custom_class, z_lens=lens_redshift_list[i], z_source=z_source_convention) else: if lens_type not in imported_classes.keys(): lensmodel_class = self._import_class(lens_type, custom_class) imported_classes.update({lens_type: lensmodel_class}) else: lensmodel_class = imported_classes[lens_type] func_list.append(lensmodel_class) return func_list @staticmethod def _import_class(lens_type, custom_class, z_lens=None, z_source=None): """ :param lens_type: string, lens model type :param custom_class: custom class :param z_lens: :param z_source: :return: class instance of the lens model type """ if lens_type == 'SHIFT': from lenstronomy.LensModel.Profiles.alpha_shift import Shift return Shift() elif lens_type == 'SHEAR': from lenstronomy.LensModel.Profiles.shear import Shear return Shear() elif lens_type == 'SHEAR_GAMMA_PSI': from lenstronomy.LensModel.Profiles.shear import ShearGammaPsi return ShearGammaPsi() elif lens_type == 'CONVERGENCE': from lenstronomy.LensModel.Profiles.convergence import Convergence return Convergence() elif lens_type == 'FLEXION': from lenstronomy.LensModel.Profiles.flexion import Flexion return Flexion() elif lens_type == 'FLEXIONFG': from lenstronomy.LensModel.Profiles.flexionfg import Flexionfg return Flexionfg() elif lens_type == 'POINT_MASS': from lenstronomy.LensModel.Profiles.point_mass import PointMass return PointMass() elif lens_type == 'SIS': from lenstronomy.LensModel.Profiles.sis import SIS return SIS() elif lens_type == 'SIS_TRUNCATED': from lenstronomy.LensModel.Profiles.sis_truncate import SIS_truncate return SIS_truncate() elif lens_type == 'SIE': from lenstronomy.LensModel.Profiles.sie import SIE return SIE() elif lens_type == 'SPP': from lenstronomy.LensModel.Profiles.spp import SPP return SPP() elif lens_type == 'NIE': from lenstronomy.LensModel.Profiles.nie import NIE return NIE() elif lens_type == 'NIE_SIMPLE': from lenstronomy.LensModel.Profiles.nie import NIE_simple return NIE_simple() elif lens_type == 'CHAMELEON': from lenstronomy.LensModel.Profiles.chameleon import Chameleon return Chameleon() elif lens_type == 'DOUBLE_CHAMELEON': from lenstronomy.LensModel.Profiles.chameleon import DoubleChameleon return DoubleChameleon() elif lens_type == 'TRIPLE_CHAMELEON': from lenstronomy.LensModel.Profiles.chameleon import TripleChameleon return TripleChameleon() elif lens_type == 'SPEP': from lenstronomy.LensModel.Profiles.spep import SPEP return SPEP() elif lens_type == 'SPEMD': from lenstronomy.LensModel.Profiles.spemd import SPEMD return SPEMD() elif lens_type == 'SPEMD_SMOOTH': from lenstronomy.LensModel.Profiles.spemd_smooth import SPEMD_SMOOTH return SPEMD_SMOOTH() elif lens_type == 'NFW': from lenstronomy.LensModel.Profiles.nfw import NFW return NFW() elif lens_type == 'NFW_ELLIPSE': from lenstronomy.LensModel.Profiles.nfw_ellipse import NFW_ELLIPSE return NFW_ELLIPSE() elif lens_type == 'NFW_ELLIPSE_GAUSS_DEC': from lenstronomy.LensModel.Profiles.gauss_decomposition import NFWEllipseGaussDec return NFWEllipseGaussDec() elif lens_type == 'TNFW': from lenstronomy.LensModel.Profiles.tnfw import TNFW return TNFW() elif lens_type == 'CNFW': from lenstronomy.LensModel.Profiles.cnfw import CNFW return CNFW() elif lens_type == 'CTNFW_GAUSS_DEC': from lenstronomy.LensModel.Profiles.gauss_decomposition import CTNFWGaussDec return CTNFWGaussDec() elif lens_type =='NFW_MC': from lenstronomy.LensModel.Profiles.nfw_mass_concentration import NFWMC return NFWMC(z_lens=z_lens, z_source=z_source) elif lens_type == 'SERSIC': from lenstronomy.LensModel.Profiles.sersic import Sersic return Sersic() elif lens_type == 'SERSIC_ELLIPSE_POTENTIAL': from lenstronomy.LensModel.Profiles.sersic_ellipse_potential import SersicEllipse return SersicEllipse() elif lens_type == 'SERSIC_ELLIPSE_KAPPA': from lenstronomy.LensModel.Profiles.sersic_ellipse_kappa import SersicEllipseKappa return SersicEllipseKappa() elif lens_type == 'SERSIC_ELLIPSE_GAUSS_DEC': from lenstronomy.LensModel.Profiles.gauss_decomposition \ import SersicEllipseGaussDec return SersicEllipseGaussDec() elif lens_type == 'PJAFFE': from lenstronomy.LensModel.Profiles.p_jaffe import PJaffe return PJaffe() elif lens_type == 'PJAFFE_ELLIPSE': from lenstronomy.LensModel.Profiles.p_jaffe_ellipse import PJaffe_Ellipse return PJaffe_Ellipse() elif lens_type == 'HERNQUIST': from lenstronomy.LensModel.Profiles.hernquist import Hernquist return Hernquist() elif lens_type == 'HERNQUIST_ELLIPSE': from lenstronomy.LensModel.Profiles.hernquist_ellipse import Hernquist_Ellipse return Hernquist_Ellipse() elif lens_type == 'GAUSSIAN': from lenstronomy.LensModel.Profiles.gaussian_potential import Gaussian return Gaussian() elif lens_type == 'GAUSSIAN_KAPPA': from lenstronomy.LensModel.Profiles.gaussian_kappa import GaussianKappa return GaussianKappa() elif lens_type == 'GAUSSIAN_ELLIPSE_KAPPA': from lenstronomy.LensModel.Profiles.gaussian_ellipse_kappa import GaussianEllipseKappa return GaussianEllipseKappa() elif lens_type == 'GAUSSIAN_ELLIPSE_POTENTIAL': from lenstronomy.LensModel.Profiles.gaussian_ellipse_potential import GaussianEllipsePotential return GaussianEllipsePotential() elif lens_type == 'MULTI_GAUSSIAN_KAPPA': from lenstronomy.LensModel.Profiles.multi_gaussian_kappa import MultiGaussianKappa return MultiGaussianKappa() elif lens_type == 'MULTI_GAUSSIAN_KAPPA_ELLIPSE': from lenstronomy.LensModel.Profiles.multi_gaussian_kappa import MultiGaussianKappaEllipse return MultiGaussianKappaEllipse() elif lens_type == 'INTERPOL': from lenstronomy.LensModel.Profiles.interpol import Interpol return Interpol() elif lens_type == 'INTERPOL_SCALED': from lenstronomy.LensModel.Profiles.interpol import InterpolScaled return InterpolScaled() elif lens_type == 'SHAPELETS_POLAR': from lenstronomy.LensModel.Profiles.shapelet_pot_polar import PolarShapelets return PolarShapelets() elif lens_type == 'SHAPELETS_CART': from lenstronomy.LensModel.Profiles.shapelet_pot_cartesian import CartShapelets return CartShapelets() elif lens_type == 'DIPOLE': from lenstronomy.LensModel.Profiles.dipole import Dipole return Dipole() elif lens_type == 'CURVED_ARC': from lenstronomy.LensModel.Profiles.curved_arc import CurvedArc return CurvedArc() elif lens_type == 'coreBURKERT': from lenstronomy.LensModel.Profiles.coreBurkert import CoreBurkert return CoreBurkert() elif lens_type == 'NumericalAlpha': from lenstronomy.LensModel.Profiles.numerical_deflections import NumericalAlpha return NumericalAlpha(custom_class) else: raise ValueError('%s is not a valid lens model' % lens_type) def _bool_list(self, k=None): """ returns a bool list of the length of the lens models if k = None: returns bool list with True's if k is int, returns bool list with False's but k'th is True :param k: None, int, or list of ints :return: bool list """ n = len(self.func_list) if k is None: bool_list = [True] * n elif isinstance(k, (int, np.integer)): bool_list = [False] * n bool_list[k] = True else: bool_list = [False] * n for i, k_i in enumerate(k): if k_i is not False: if k_i is True: bool_list[i] = True elif k_i < n: bool_list[k_i] = True else: raise ValueError("k as set by %s is not convertable in a bool string!" % k) return bool_list def set_static(self, kwargs_list): """ :param kwargs_list: list of keyword arguments for each profile :return: kwargs_list """ for i, func in enumerate(self.func_list): func.set_static(**kwargs_list[i]) return kwargs_list def set_dynamic(self): """ :return: None """ for i, func in enumerate(self.func_list): func.set_dynamic()

46.469636

125

0.634692

1,223

11,478

5.735078

0.148814

0.066153

0.164243

0.218991

0.314656

0.225121

0.126319

0.08982

0.068149

0.045338

0

0.297526

11,478

246

126

46.658537

0.8699

0.08329

0

0.045

0

0.073045

0.016124

0

1

0.03

false

0

0.28

0

0.57

0

null

0

1

0

null

0

1

0

2

e0225cc7ae574faae313b96ffc7ec237e3fa82bb

1,412

py

Python

rqalpha/mod/rqalpha_mod_sys_accounts/testing.py

HaidongHe/rqalpha

bb824178425909e051c456f6062a6c5bdc816421

[ "Apache-2.0" ]

1

2020-11-10T05:44:39.000Z

rqalpha/mod/rqalpha_mod_sys_accounts/testing.py

HaidongHe/rqalpha

bb824178425909e051c456f6062a6c5bdc816421

[ "Apache-2.0" ]

null

rqalpha/mod/rqalpha_mod_sys_accounts/testing.py

HaidongHe/rqalpha

bb824178425909e051c456f6062a6c5bdc816421

[ "Apache-2.0" ]

1

2020-03-05T05:06:45.000Z

# -*- coding: utf-8 -*- # 版权所有 2019 深圳米筐科技有限公司（下称“米筐科技”） # # 除非遵守当前许可，否则不得使用本软件。 # # * 非商业用途（非商业用途指个人出于非商业目的使用本软件，或者高校、研究所等非营利机构出于教育、科研等目的使用本软件）： # 遵守 Apache License 2.0（下称“Apache 2.0 许可”），您可以在以下位置获得 Apache 2.0 许可的副本：http://www.apache.org/licenses/LICENSE-2.0。 # 除非法律有要求或以书面形式达成协议，否则本软件分发时需保持当前许可“原样”不变，且不得附加任何条件。 # # * 商业用途（商业用途指个人出于任何商业目的使用本软件，或者法人或其他组织出于任何目的使用本软件）： # 未经米筐科技授权，任何个人不得出于任何商业目的使用本软件（包括但不限于向第三方提供、销售、出租、出借、转让本软件、本软件的衍生产品、引用或借鉴了本软件功能或源代码的产品或服务），任何法人或其他组织不得出于任何目的使用本软件，否则米筐科技有权追究相应的知识产权侵权责任。 # 在此前提下，对本软件的使用同样需要遵守 Apache 2.0 许可，Apache 2.0 许可与本许可冲突之处，以本许可为准。 # 详细的授权流程，请联系 public@ricequant.com 获取。 from rqalpha.utils.testing import EnvironmentFixture class BenchmarkAccountFixture(EnvironmentFixture): def __init__(self, *args, **kwargs): super(BenchmarkAccountFixture, self).__init__(*args, **kwargs) self.benchmark_account_total_cash = 4000 self.benchmark_account = None def init_fixture(self): from rqalpha.model.positions import Positions from rqalpha.mod.rqalpha_mod_sys_accounts.position_model.stock_position import StockPosition from rqalpha.mod.rqalpha_mod_sys_accounts.account_model import BenchmarkAccount super(BenchmarkAccountFixture, self).init_fixture() self.benchmark_account = BenchmarkAccount(self.benchmark_account_total_cash, Positions(StockPosition))

42.787879

144

0.752125

154

1,412

6.720779

0.558442

0.011594

0.030918

0.019324

0.123672

0.067633

0

0.0175

0.150142

1,412

32

145

44.125

0.845

0.447592

0

1

0.166667

false

0

0.333333

0

0.583333

0

null

0

null

0

1

0

1

0

2

e0258af44d55807f60df8224c29a281eeca5b21b

41,056

py

Python

tests/test_framework_enrichment.py

varunvarma/panoptes

733e1b17e01d47fe0a399e2fe635f614cc5a0b88

[ "Apache-2.0" ]

null

tests/test_framework_enrichment.py

varunvarma/panoptes

733e1b17e01d47fe0a399e2fe635f614cc5a0b88

[ "Apache-2.0" ]

null

tests/test_framework_enrichment.py

varunvarma/panoptes

733e1b17e01d47fe0a399e2fe635f614cc5a0b88

[ "Apache-2.0" ]

null

""" Copyright 2018, Oath Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE file in project root for terms. """ import time import unittest import json import os from mock import * from yahoo_panoptes.framework.enrichment import PanoptesEnrichmentSet, PanoptesEnrichmentGroup, \ PanoptesEnrichmentGroupSet, PanoptesEnrichmentSchemaValidator, PanoptesEnrichmentEncoder, \ PanoptesEnrichmentMultiGroupSet from yahoo_panoptes.framework.resources import PanoptesResource, PanoptesResourcesKeyValueStore from yahoo_panoptes.enrichment.enrichment_plugin_agent import _store_enrichment_data, \ PanoptesEnrichmentCacheKeyValueStore, enrichment_plugin_task, PanoptesEnrichmentTaskContext from tests.test_framework import PanoptesMockRedis from yahoo_panoptes.framework.context import PanoptesContext mock_time = Mock() mock_time.return_value = 1512629517.03121 def ordered(obj): if isinstance(obj, dict): return sorted((k, ordered(v)) for k, v in obj.items()) if isinstance(obj, list): return sorted(ordered(x) for x in obj) else: return obj def _get_test_conf_file(): my_dir = os.path.dirname(os.path.realpath(__file__)) panoptes_test_conf_file = os.path.join(my_dir, 'config_files/test_panoptes_config.ini') return my_dir, panoptes_test_conf_file class PanoptesEnrichmentInterfaceSchemaValidator(PanoptesEnrichmentSchemaValidator): schema = { 'enrichment_label': { 'type': 'dict', 'schema': { 'speed': {'type': 'integer'}, 'index': {'type': 'integer'}, 'status': {'type': 'string'} } } } def __init__(self): super(PanoptesEnrichmentInterfaceSchemaValidator, self).__init__() class PanoptesEnrichmentNeighborSchemaValidator(PanoptesEnrichmentSchemaValidator): schema = { 'enrichment_label': { 'type': 'dict', 'schema': { 'vlan_id': {'type': 'integer', 'required': True}, 'property': {'type': 'string', 'required': True}, 'mac': {'type': 'string'} } } } def __init__(self): super(PanoptesEnrichmentNeighborSchemaValidator, self).__init__() class TestEnrichmentFramework(unittest.TestCase): @patch('yahoo_panoptes.framework.resources.time', mock_time) def setUp(self): self.__panoptes_resource = PanoptesResource(resource_site='test', resource_class='test', resource_subclass='test', resource_type='test', resource_id='test', resource_endpoint='test', resource_plugin='test') self.__panoptes_resource.add_metadata('test', 'test') def test_enrichment_set(self): enrichment_set = PanoptesEnrichmentSet('int_001') enrichment_set.add('speed', 1000) enrichment_set.add('index', 001) enrichment_set.add('status', 'up') self.assertEquals(enrichment_set.key, 'int_001') self.assertDictEqual(enrichment_set.value, {'status': 'up', 'index': 1, 'speed': 1000}) self.assertEquals(len(enrichment_set), 3) enrichment_set1 = PanoptesEnrichmentSet('int_002', {'status': 'down', 'index': 2, 'speed': 1000}) self.assertEquals(enrichment_set1.key, 'int_002') self.assertDictEqual(enrichment_set1.value, {'status': 'down', 'index': 2, 'speed': 1000}) with self.assertRaises(AssertionError): PanoptesEnrichmentSet('int_001', 'string') with self.assertRaises(AssertionError): PanoptesEnrichmentSet('int_001', 100) def test_enrichment_schema_validator(self): validator = PanoptesEnrichmentInterfaceSchemaValidator() enrichment_set = PanoptesEnrichmentSet('int_001') enrichment_set.add('speed', 1000) enrichment_set.add('index', 001) enrichment_set.add('status', 'up') self.assertTrue(validator.validate(enrichment_set)) enrichment_set.add('status', 01) self.assertFalse(validator.validate(enrichment_set)) @patch('time.time', mock_time) def test_enrichment_group(self): interface_validation_object = PanoptesEnrichmentInterfaceSchemaValidator() neighbor_validation_object = PanoptesEnrichmentNeighborSchemaValidator() interface_data = \ '''{"data": [ {"int_001": {"index": 1, "speed": 1000, "status": "up"}}, {"int_002": {"index": 2, "speed": 1000, "status": "down"}}], "metadata": {"_enrichment_group_creation_timestamp": %f, "_enrichment_ttl": 300, "_execute_frequency": 60}, "namespace": "interface"}''' % mock_time.return_value neighbor_data = \ '''{"data": [{"host_name": {"mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 501}}], "metadata": {"_enrichment_group_creation_timestamp": %f, "_enrichment_ttl": 600, "_execute_frequency": 120}, "namespace": "neighbor"}''' % mock_time.return_value with self.assertRaises(AssertionError): PanoptesEnrichmentGroup(1, interface_validation_object, 300, 60) with self.assertRaises(AssertionError): PanoptesEnrichmentGroup('interface', 'non_validation_object', 300, 60) with self.assertRaises(AssertionError): PanoptesEnrichmentGroup('interface', interface_validation_object, '300', 60) with self.assertRaises(AssertionError): PanoptesEnrichmentGroup('interface', interface_validation_object, 300, '60') with self.assertRaises(AssertionError): PanoptesEnrichmentGroup('interface', interface_validation_object, 0, 60) with self.assertRaises(AssertionError): PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 0) with self.assertRaises(AssertionError): PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60).\ add_enrichment_set('not_PanoptesEnrichmentSet_obj') enrichment_set1 = PanoptesEnrichmentSet('int_001') enrichment_set1.add('speed', 1000) enrichment_set1.add('index', 001) enrichment_set1.add('status', 'up') enrichment_set2 = PanoptesEnrichmentSet('int_002') enrichment_set2.add('speed', 1000) enrichment_set2.add('index', 002) enrichment_set2.add('status', 'down') enrichment_group1 = PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60) enrichment_group1.add_enrichment_set(enrichment_set1) enrichment_group1.add_enrichment_set(enrichment_set2) self.assertEqual(enrichment_group1.namespace, 'interface') self.assertEqual(enrichment_group1.enrichment_ttl, 300) self.assertEqual(enrichment_group1.execute_frequency, 60) self.assertEqual(enrichment_group1.enrichment_group_creation_timestamp, mock_time.return_value) self.assertEqual(ordered(json.loads(json.dumps(enrichment_group1.data, cls=PanoptesEnrichmentEncoder))), ordered(json.loads(interface_data)['data'])) self.assertEqual(ordered(json.loads(enrichment_group1.json())), ordered(json.loads(interface_data))) self.assertEquals(len(enrichment_group1), 2) enrichment_set3 = PanoptesEnrichmentSet('int_002') enrichment_set3.add('speed', 1000) enrichment_set3.add('index', 002) enrichment_set3.add('status', 'down') self.assertEqual(ordered(json.loads(enrichment_group1.json())), ordered(json.loads(interface_data))) self.assertEqual(ordered(enrichment_group1.metadata), ordered(json.loads(interface_data)['metadata'])) self.assertEquals(len(enrichment_group1), 2) test_metadata = json.loads(interface_data)['metadata'] test_metadata['metadata_key'] = 'metadata_value' enrichment_group1.upsert_metadata('metadata_key', 'metadata_value') self.assertEqual(ordered(enrichment_group1.metadata), ordered(test_metadata)) enrichment_group1.upsert_metadata('ttl', 300) with self.assertRaises(ValueError): enrichment_group1.upsert_metadata('_enrichment_ttl', 300) with self.assertRaises(AssertionError): enrichment_group1.upsert_metadata('metadata', {}) with self.assertRaises(AssertionError): enrichment_group1.upsert_metadata('metadata', []) enrichment_set4 = PanoptesEnrichmentSet('host_name') enrichment_set4.add('vlan_id', 501) enrichment_set4.add('property', 'Test Property') enrichment_set4.add('mac', 'aa:bb:cc:dd:ee:ff') enrichment_group2 = PanoptesEnrichmentGroup('neighbor', neighbor_validation_object, 600, 120) enrichment_group2.add_enrichment_set(enrichment_set4) self.assertEqual(ordered(json.loads(enrichment_group2.json())), ordered(json.loads(neighbor_data))) self.assertEquals(len(enrichment_group2), 1) enrichment_set5 = PanoptesEnrichmentSet('host_name01') enrichment_set5.add('vlan_id', 502) enrichment_set5.add('property', 'Netops01.US') enrichment_set6 = PanoptesEnrichmentSet('host_name02') enrichment_set6.add('vlan_id', 503) enrichment_set6.add('mac', 'aa:bb:cc:dd:ee:ff') enrichment_group3 = PanoptesEnrichmentGroup('neighbor', neighbor_validation_object, 600, 120) enrichment_group3.add_enrichment_set(enrichment_set5) with self.assertRaises(AssertionError): enrichment_group3.add_enrichment_set(enrichment_set6) interface_store_data = '{"int_001": {"index": 1, "speed": 1000, "status": "up"}, ' \ '"int_002": {"index": 2, "speed": 1000, "status": "down"}}' neighbor_store_data = '{"host_name": {"mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 501}}' self.assertEquals(ordered(json.loads(enrichment_group1.serialize_data())), ordered(json.loads(interface_store_data))) self.assertEquals(ordered(json.loads(enrichment_group2.serialize_data())), ordered(json.loads(neighbor_store_data))) enrichment_group1.upsert_metadata('ttl', 300) with self.assertRaises(ValueError): enrichment_group1.upsert_metadata('_enrichment_ttl', 300) interface_data_serialized = '''{{"data": {{"int_001": {{"index": 1, "speed": 1000, "status": "up"}}, "int_002": {{"index": 2, "speed": 1000, "status": "down"}}}}, "metadata": {{"_enrichment_group_creation_timestamp": {:.5f}, "_enrichment_ttl": 300, "_execute_frequency": 60, "metadata_key": "metadata_value", "ttl": 300}}}}'''.format(mock_time.return_value) neighbor_data_serialized = '''{{"data": {{"host_name": {{"mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property" ,"vlan_id": 501}}}}, "metadata": {{"_enrichment_group_creation_timestamp": {:.5f}, "_enrichment_ttl": 600, "_execute_frequency": 120}}}}'''.format(mock_time.return_value) self.assertEquals(ordered(json.loads(enrichment_group1.serialize())), ordered(json.loads(interface_data_serialized))) self.assertEquals(ordered(json.loads(enrichment_group2.serialize())), ordered(json.loads(neighbor_data_serialized))) @patch('time.time', mock_time) def test_enrichment_group_set(self): interface_validation_object = PanoptesEnrichmentInterfaceSchemaValidator() neighbor_validation_object = PanoptesEnrichmentNeighborSchemaValidator() panoptes_resource = self.__panoptes_resource enrichment_data = \ '''{{"enrichment": [{{"metadata": {{"_enrichment_group_creation_timestamp": {:.5f}, "_enrichment_ttl": 600, "_execute_frequency": 120}}, "data": [{{"host_name": {{"mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 501}}}}], "namespace": "neighbor"}}, {{"metadata": {{"_enrichment_group_creation_timestamp": {:.5f}, "_enrichment_ttl": 300, "_execute_frequency": 60}}, "data": [ {{"int_001": {{"index": 1, "speed": 1000, "status": "up"}}}}, {{"int_002": {{"index": 2, "speed": 1000, "status": "down"}}}}], "namespace": "interface"}}], "enrichment_group_set_creation_timestamp": {:.5f}, "resource": {{"resource_class": "test", "resource_creation_timestamp": {:.5f}, "resource_endpoint": "test", "resource_id": "test", "resource_metadata": {{"_resource_ttl": "604800", "test": "test"}}, "resource_plugin": "test", "resource_site": "test", "resource_subclass": "test", "resource_type": "test"}}}}'''.format(mock_time.return_value, mock_time.return_value, mock_time.return_value, mock_time.return_value) enrichment_set1 = PanoptesEnrichmentSet('int_001') enrichment_set1.add('speed', 1000) enrichment_set1.add('index', 001) enrichment_set1.add('status', 'up') enrichment_set2 = PanoptesEnrichmentSet('int_002') enrichment_set2.add('speed', 1000) enrichment_set2.add('index', 002) enrichment_set2.add('status', 'down') enrichment_group1 = PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60) enrichment_group1.add_enrichment_set(enrichment_set1) enrichment_group1.add_enrichment_set(enrichment_set2) enrichment_set3 = PanoptesEnrichmentSet('host_name') enrichment_set3.add('vlan_id', 501) enrichment_set3.add('property', 'Test Property') enrichment_set3.add('mac', 'aa:bb:cc:dd:ee:ff') enrichment_group2 = PanoptesEnrichmentGroup('neighbor', neighbor_validation_object, 600, 120) enrichment_group2.add_enrichment_set(enrichment_set3) enrichment_group_set1 = PanoptesEnrichmentGroupSet(panoptes_resource) enrichment_group_set1.add_enrichment_group(enrichment_group1) enrichment_group_set1.add_enrichment_group(enrichment_group2) self.assertEquals(len(enrichment_group_set1), 2) group_set_repr = "PanoptesEnrichmentGroupSet[resource:" \ "plugin|test|site|test|class|test|subclass|test|type|test|id|test|endpoint|test," \ "enrichment_group_set_creation_timestamp:{},PanoptesEnrichmentGroup[namespace:" \ "interface,enrichment_ttl:300,execute_frequency:60,enrichment_group_creation_timestamp:{}," \ "PanoptesEnrichmentSet[int_001[status:up,index:1,speed:1000]],PanoptesEnrichmentSet" \ "[int_002[status:down,index:2,speed:1000]]],PanoptesEnrichmentGroup[namespace:neighbor," \ "enrichment_ttl:600,execute_frequency:120,enrichment_group_creation_timestamp:{}," \ "PanoptesEnrichmentSet[host_name[mac:aa:bb:cc:dd:ee:ff,property:" \ "Test Property,vlan_id:501]]]]".format(mock_time.return_value, mock_time.return_value, mock_time.return_value) self.assertEquals(repr(enrichment_group_set1), group_set_repr) self.assertIsInstance(enrichment_group_set1.resource, PanoptesResource) self.assertEqual(enrichment_group_set1.enrichment_group_set_creation_timestamp, mock_time.return_value) self.assertEqual( ordered(json.loads(json.dumps(enrichment_group_set1.enrichment, cls=PanoptesEnrichmentEncoder))), ordered(json.loads(enrichment_data)['enrichment'])) self.assertEqual(ordered(json.loads(enrichment_group_set1.json())['enrichment']), ordered(json.loads(enrichment_data)['enrichment'])) with self.assertRaises(AssertionError): PanoptesEnrichmentGroupSet('bad_resource') with self.assertRaises(AssertionError): PanoptesEnrichmentGroupSet(panoptes_resource).add_enrichment_group('non_PanoptesEnrichmentGroup_obj') enrichment_group_set2 = PanoptesEnrichmentGroupSet(panoptes_resource) enrichment_group3 = PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60) with self.assertRaises(AssertionError): enrichment_group_set2.add_enrichment_group(enrichment_group3) self.assertFalse(enrichment_group_set1 == enrichment_group1) self.assertFalse(enrichment_group_set1 == enrichment_group_set2) @patch('time.time', mock_time) @patch('yahoo_panoptes.framework.resources.time', mock_time) def test_multi_enrichment_group_set(self): interface_validation_object = PanoptesEnrichmentInterfaceSchemaValidator() neighbor_validation_object = PanoptesEnrichmentNeighborSchemaValidator() panoptes_resource = self.__panoptes_resource multi_enrichment_results_data = \ { "group_sets": [ { "enrichment": [ { "data": [ { "host_name": { "mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 501 } }, { "host_name01": { "mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 502 } } ], "metadata": { "_enrichment_group_creation_timestamp": mock_time.return_value, "_enrichment_ttl": 600, "_execute_frequency": 120 }, "namespace": "neighbor" }, { "data": [ { "int_001": { "index": 1, "speed": 1000, "status": "up" } } ], "metadata": { "_enrichment_group_creation_timestamp": mock_time.return_value, "_enrichment_ttl": 300, "_execute_frequency": 60 }, "namespace": "interface" } ], "enrichment_group_set_creation_timestamp": mock_time.return_value, "resource": { "resource_class": "test_class", "resource_creation_timestamp": mock_time.return_value, "resource_endpoint": "test_endpoint01", "resource_id": "test_resource_id01", "resource_metadata": { "_resource_ttl": "604800" }, "resource_plugin": "test_plugin", "resource_site": "test_site", "resource_subclass": "test_subclass", "resource_type": "test_type" } }, { "enrichment": [ { "data": [ { "int_001": { "index": 1, "speed": 1000, "status": "up" } } ], "metadata": { "_enrichment_group_creation_timestamp": mock_time.return_value, "_enrichment_ttl": 300, "_execute_frequency": 60 }, "namespace": "interface" }, { "data": [ { "host_name": { "mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 501 } } ], "metadata": { "_enrichment_group_creation_timestamp": mock_time.return_value, "_enrichment_ttl": 600, "_execute_frequency": 120 }, "namespace": "neighbor" } ], "enrichment_group_set_creation_timestamp": mock_time.return_value, "resource": { "resource_class": "test", "resource_creation_timestamp": mock_time.return_value, "resource_endpoint": "test", "resource_id": "test", "resource_metadata": { "_resource_ttl": "604800", "test": "test" }, "resource_plugin": "test", "resource_site": "test", "resource_subclass": "test", "resource_type": "test" } } ] } enrichment_set1 = PanoptesEnrichmentSet('int_001') enrichment_set1.add('speed', 1000) enrichment_set1.add('index', 001) enrichment_set1.add('status', 'up') enrichment_group1 = PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60) enrichment_group1.add_enrichment_set(enrichment_set1) enrichment_set3 = PanoptesEnrichmentSet('host_name') enrichment_set3.add('vlan_id', 501) enrichment_set3.add('property', 'Test Property') enrichment_set3.add('mac', 'aa:bb:cc:dd:ee:ff') enrichment_group2 = PanoptesEnrichmentGroup('neighbor', neighbor_validation_object, 600, 120) enrichment_group2.add_enrichment_set(enrichment_set3) enrichment_group_set1 = PanoptesEnrichmentGroupSet(panoptes_resource) enrichment_group_set1.add_enrichment_group(enrichment_group1) enrichment_group_set1.add_enrichment_group(enrichment_group2) panoptes_resource01 = PanoptesResource(resource_site='test_site', resource_class='test_class', resource_subclass='test_subclass', resource_type='test_type', resource_id='test_resource_id01', resource_endpoint='test_endpoint01', resource_plugin='test_plugin') panoptes_resource02 = PanoptesResource(resource_site='test_site', resource_class='test_class', resource_subclass='test_subclass', resource_type='test_type', resource_id='test_resource_id02', resource_endpoint='test_endpoint02', resource_plugin='test_plugin') enrichment_set4 = PanoptesEnrichmentSet('host_name01') enrichment_set4.add('vlan_id', 502) enrichment_set4.add('property', 'Test Property') enrichment_set4.add('mac', 'aa:bb:cc:dd:ee:ff') enrichment_group3 = PanoptesEnrichmentGroup('neighbor', neighbor_validation_object, 600, 120) enrichment_group3.add_enrichment_set(enrichment_set3) enrichment_group3.add_enrichment_set(enrichment_set4) enrichment_group_set2 = PanoptesEnrichmentGroupSet(panoptes_resource01) enrichment_group_set2.add_enrichment_group(enrichment_group1) enrichment_group_set2.add_enrichment_group(enrichment_group3) multi_enrichment_group_set = PanoptesEnrichmentMultiGroupSet() multi_enrichment_group_set.add_enrichment_group_set(enrichment_group_set1) multi_enrichment_group_set.add_enrichment_group_set(enrichment_group_set2) multi_enrichment_group_set_repr = "PanoptesEnrichmentMultiGroupSet[PanoptesEnrichmentGroupSet[resource:" \ "plugin|test_plugin|site|test_site|class|test_class|subclass|test_subclass" \ "|type|test_type|id|test_resource_id01|endpoint|test_endpoint01," \ "enrichment_group_set_creation_timestamp:{}," \ "PanoptesEnrichmentGroup[namespace:interface,enrichment_ttl:300," \ "execute_frequency:60,enrichment_group_creation_timestamp:{}," \ "PanoptesEnrichmentSet[int_001[status:up,index:1,speed:1000]]]," \ "PanoptesEnrichmentGroup[namespace:neighbor,enrichment_ttl:600," \ "execute_frequency:120,enrichment_group_creation_timestamp:{}," \ "PanoptesEnrichmentSet[host_name[mac:aa:bb:cc:dd:ee:ff,property:" \ "Test Property,vlan_id:501]],PanoptesEnrichmentSet[host_name01" \ "[mac:aa:bb:cc:dd:ee:ff,property:Test Property,vlan_id:502]]]]," \ "PanoptesEnrichmentGroupSet[resource:plugin|test|site|test|class|test|" \ "subclass|test|type|test|id|test|endpoint|test," \ "enrichment_group_set_creation_timestamp:{}," \ "PanoptesEnrichmentGroup[namespace:interface,enrichment_ttl:300," \ "execute_frequency:60,enrichment_group_creation_timestamp:{}," \ "PanoptesEnrichmentSet[int_001[status:up,index:1,speed:1000]]]," \ "PanoptesEnrichmentGroup[namespace:neighbor,enrichment_ttl:600," \ "execute_frequency:120,enrichment_group_creation_timestamp:{}," \ "PanoptesEnrichmentSet[host_name[mac:aa:bb:cc:dd:ee:ff,property:" \ "Test Property,vlan_id:501]]]]]".format(mock_time.return_value, mock_time.return_value, mock_time.return_value, mock_time.return_value, mock_time.return_value, mock_time.return_value) self.assertEquals(repr(multi_enrichment_group_set), multi_enrichment_group_set_repr) self.assertEquals(len(multi_enrichment_group_set.enrichment_group_sets), 2) self.assertEquals(ordered(json.loads(multi_enrichment_group_set.json())), ordered(multi_enrichment_results_data)) self.assertEquals(len(multi_enrichment_group_set), 2) multi_enrichment_group_set.add_enrichment_group_set(enrichment_group_set2) self.assertEquals(len(multi_enrichment_group_set), 2) enrichment_group_set3 = PanoptesEnrichmentGroupSet(panoptes_resource02) enrichment_group_set3.add_enrichment_group(enrichment_group1) multi_enrichment_group_set.add_enrichment_group_set(enrichment_group_set3) self.assertEquals(len(multi_enrichment_group_set), 3) with self.assertRaises(AssertionError): multi_enrichment_group_set.add_enrichment_group_set('non_enrichment_group') enrichment_group_set3 = PanoptesEnrichmentGroupSet(panoptes_resource01) with self.assertRaises(AssertionError): multi_enrichment_group_set.add_enrichment_group_set(enrichment_group_set3) class TestPanoptesEnrichmentCacheStore(unittest.TestCase): @patch('redis.StrictRedis', PanoptesMockRedis) @patch('time.time', mock_time) def setUp(self): self.my_dir, self.panoptes_test_conf_file = _get_test_conf_file() self._panoptes_context = PanoptesContext(self.panoptes_test_conf_file, key_value_store_class_list=[PanoptesEnrichmentCacheKeyValueStore, PanoptesResourcesKeyValueStore]) self._enrichment_kv = self._panoptes_context.get_kv_store(PanoptesEnrichmentCacheKeyValueStore) self._panoptes_resource = PanoptesResource(resource_site='test_site', resource_class='test_class', resource_subclass='test_subclass', resource_type='test_type', resource_id='test_resource_id', resource_endpoint='test_endpoint', resource_plugin='test_plugin') interface_validation_object = PanoptesEnrichmentInterfaceSchemaValidator() neighbor_validation_object = PanoptesEnrichmentNeighborSchemaValidator() enrichment_set1 = PanoptesEnrichmentSet('int_001') enrichment_set1.add('speed', 1000) enrichment_set1.add('index', 001) enrichment_set1.add('status', 'up') enrichment_set2 = PanoptesEnrichmentSet('int_002') enrichment_set2.add('speed', 1000) enrichment_set2.add('index', 002) enrichment_set2.add('status', 'down') enrichment_group1 = PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60) enrichment_group1.add_enrichment_set(enrichment_set1) enrichment_group1.add_enrichment_set(enrichment_set2) enrichment_set3 = PanoptesEnrichmentSet('host_name') enrichment_set3.add('vlan_id', 501) enrichment_set3.add('property', 'Test Property') enrichment_set3.add('mac', 'aa:bb:cc:dd:ee:ff') enrichment_group2 = PanoptesEnrichmentGroup('neighbor', neighbor_validation_object, 600, 120) enrichment_group2.add_enrichment_set(enrichment_set3) self.enrichment_group_set1 = PanoptesEnrichmentGroupSet(self._panoptes_resource) self.enrichment_group_set1.add_enrichment_group(enrichment_group1) self.enrichment_group_set1.add_enrichment_group(enrichment_group2) self._panoptes_resource01 = PanoptesResource(resource_site='test_site', resource_class='test_class', resource_subclass='test_subclass', resource_type='test_type', resource_id='test_resource_id01', resource_endpoint='test_endpoint01', resource_plugin='test_plugin') enrichment_set4 = PanoptesEnrichmentSet('host_name01') enrichment_set4.add('vlan_id', 502) enrichment_set4.add('property', 'Test Property') enrichment_set4.add('mac', 'aa:bb:cc:dd:ee:ff') enrichment_group3 = PanoptesEnrichmentGroup('neighbor', neighbor_validation_object, 600, 120) enrichment_group3.add_enrichment_set(enrichment_set3) enrichment_group3.add_enrichment_set(enrichment_set4) self.enrichment_group_set2 = PanoptesEnrichmentGroupSet(self._panoptes_resource01) self.enrichment_group_set2.add_enrichment_group(enrichment_group1) self.enrichment_group_set2.add_enrichment_group(enrichment_group3) self._multi_enrichment_group_set = PanoptesEnrichmentMultiGroupSet() self._multi_enrichment_group_set.add_enrichment_group_set(self.enrichment_group_set1) self._multi_enrichment_group_set.add_enrichment_group_set(self.enrichment_group_set2) @patch('time.time', mock_time) def test_panoptes_enrichment_set(self): enrichment_set1 = PanoptesEnrichmentSet('int_001') enrichment_set1.add('speed', 1000) enrichment_set1.add('index', 001) enrichment_set1.add('status', 'up') self.assertEquals(enrichment_set1.json(), '{"int_001": {"index": 1, "speed": 1000, "status": "up"}}') self.assertEquals(repr(enrichment_set1), "PanoptesEnrichmentSet[int_001[status:up,index:1,speed:1000]]") enrichment_set2 = PanoptesEnrichmentSet('int_002') enrichment_set2.add('speed', 1000) enrichment_set2.add('index', 002) enrichment_set2.add('status', 'down') interface_validation_object = PanoptesEnrichmentInterfaceSchemaValidator() enrichment_group1 = PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60) self.assertFalse(enrichment_set1 == enrichment_group1) self.assertFalse(enrichment_set1 == enrichment_set2) @patch('time.time', mock_time) def test_panoptes_enrichment_group(self): interface_validation_object = PanoptesEnrichmentInterfaceSchemaValidator() enrichment_group1 = PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60) self.assertEquals(enrichment_group1.enrichment_schema, PanoptesEnrichmentInterfaceSchemaValidator.schema) self.assertEquals(repr(enrichment_group1), "PanoptesEnrichmentGroup[namespace:interface," "enrichment_ttl:300,execute_frequency:60," "enrichment_group_creation_timestamp:{}]".format( mock_time.return_value)) enrichment_set1 = PanoptesEnrichmentSet('int_001') enrichment_set1.add('speed', 1000) enrichment_set1.add('index', 001) enrichment_set1.add('status', 'up') self.assertFalse(enrichment_group1 == enrichment_set1) enrichment_group2 = PanoptesEnrichmentGroup('interface', interface_validation_object, 300, 60) enrichment_group3 = PanoptesEnrichmentGroup('other_namespace', interface_validation_object, 300, 60) self.assertTrue(enrichment_group1 == enrichment_group2) self.assertFalse(enrichment_group1 == enrichment_group3) @patch('time.time', mock_time) def test_store_enrichment_data_enrichment_group_set(self): interface_result_data = \ { "data": { "int_001": { "index": 1, "speed": 1000, "status": "up" }, "int_002": { "index": 2, "speed": 1000, "status": "down" } }, "metadata": { "_enrichment_group_creation_timestamp": mock_time.return_value, "_enrichment_ttl": 300, "_execute_frequency": 60 } } neighbor_result_data = \ { "data": { "host_name": { "mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 501 } }, "metadata": { "_enrichment_group_creation_timestamp": mock_time.return_value, "_enrichment_ttl": 600, "_execute_frequency": 120 } } _store_enrichment_data(self._panoptes_context, self.enrichment_group_set1, 'PanoptesPluginInfo') self.assertNotEquals(ordered(interface_result_data), ordered(json.loads(self._enrichment_kv.get('test_resource_id:neighbor')))) self.assertEquals(ordered(interface_result_data), ordered(json.loads(self._enrichment_kv.get('test_resource_id:interface')))) self.assertEquals(ordered(neighbor_result_data), ordered(json.loads(self._enrichment_kv.get('test_resource_id:neighbor')))) def test_store_enrichment_data_enrichment_multi_group_set(self): enrichment_result_keys = ['test_resource_id01:interface', 'test_resource_id01:neighbor', 'test_resource_id:interface', 'test_resource_id:neighbor'] neighbor_result_data = \ {"data": {"host_name": {"mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 501}, "host_name01": {"mac": "aa:bb:cc:dd:ee:ff", "property": "Test Property", "vlan_id": 502}}, "metadata": {"_enrichment_group_creation_timestamp": mock_time.return_value, "_enrichment_ttl": 600, "_execute_frequency": 120}} _store_enrichment_data(self._panoptes_context, self._multi_enrichment_group_set, 'PanoptesPluginInfo') self.assertEquals(enrichment_result_keys, self._enrichment_kv.find_keys('*')) self.assertEquals(ordered(neighbor_result_data), ordered(json.loads(self._enrichment_kv.get('test_resource_id01:neighbor')))) self.assertNotEquals(ordered(neighbor_result_data), ordered(json.loads(self._enrichment_kv.get('test_resource_id01:interface')))) @patch('yahoo_panoptes.enrichment.enrichment_plugin_agent.PanoptesPluginWithEnrichmentRunner', create_auto_spec=True) @patch('yahoo_panoptes.framework.resources.PanoptesResourceStore.get_resource') @patch('yahoo_panoptes.enrichment.enrichment_plugin_agent.PanoptesEnrichmentTaskContext') def test_enrichment_plugin_task_is_executed(self, task_context, resource, enrichment_runner): task_context.return_value = self._panoptes_context resource.return_value = self._panoptes_resource # Test Exception is Thrown on failure to create PanoptesEnrichmentTaskContext task_context.side_effect = Exception() with self.assertRaises(SystemExit): enrichment_plugin_task('name', 'key') task_context.side_effect = None # Test Exception is Thrown on failure to create / run plugin enrichment_runner.side_effect = Exception() enrichment_plugin_task('name', 'key') enrichment_runner.execute_plugin.assert_not_called() enrichment_runner.side_effect = None # Test Enrichment Is Executed enrichment_plugin_task('name', 'key') enrichment_runner.assert_called() enrichment_runner().execute_plugin.assert_called_once()

52.234097

121

0.579842

3,507

41,056

6.432563

0.064728

0.074471

0.029523

0.026952

0.779201

0.70668

0.670686

0.630037

0.583049

0.547985

0

0.034224

0.322462

41,056

785

122

52.300637

0.776755

0.003946

0

0.493548

0

0.01129

0.183387

0.083348

0

0.122581

0

null

0

0.016129

null

0

null

0

1

0

null

0

1

0

2

e02e4d70ac3a010882b6bdce086e8a5e5bfc1c40

758

py

Python

UR Computer Vision/Multi-Label Actor-Action Classification/code/network.py

ChenweWu/Computer-Vision--UR

d0b9f65c292dd04a28c77b87f1f8bbd7005500e3

[ "MIT" ]

1

2021-02-24T02:20:25.000Z

UR Computer Vision/Multi-Label Actor-Action Classification/code/network.py

ChenweWu/Computer-Vision--UR

d0b9f65c292dd04a28c77b87f1f8bbd7005500e3

[ "MIT" ]

null

UR Computer Vision/Multi-Label Actor-Action Classification/code/network.py

ChenweWu/Computer-Vision--UR

d0b9f65c292dd04a28c77b87f1f8bbd7005500e3

[ "MIT" ]

1

2021-03-02T19:50:22.000Z

import torch import torch.nn as nn import torchvision.models as models import torch.autograd as autograd from torch.autograd import Variable import math class net(nn.Module): def __init__(self, args): super(net, self).__init__() self.resnet = nn.Sequential(*list(models.resnet152(pretrained=True).children())[:-1]) self.linear = nn.Linear( models.resnet152(pretrained=True).fc.in_features, 64) self.fc1 = nn.Linear(64, args.num_cls) self.bn = nn.BatchNorm1d(args.num_cls, momentum=0.01) def forward(self, image): with torch.no_grad(): img = self.resnet(image) features = img.reshape(img.size(0), -1) output = self.bn(self.fc1(self.linear(features))) return output

34.454545

93

0.670185

106

758

4.679245

0.462264

0.066532

0.100806

0.116935

0

0.031457

0.203166

758

21

94

36.095238

0.789735

0

1

0.105263

false

0

0.315789

0

0.526316

0

null

0

null

0

1

0

1

0

2

e0365b6e874402d5849dee01101a7b56a5ddcc53

743

py

Python

example/test_model2.py

kirichoi/NSSR

d5ff39b4ca4be48f8bfe0a811c25c5e4afde135d

[ "MIT" ]

null

example/test_model2.py

kirichoi/NSSR

d5ff39b4ca4be48f8bfe0a811c25c5e4afde135d

[ "MIT" ]

null

example/test_model2.py

kirichoi/NSSR

d5ff39b4ca4be48f8bfe0a811c25c5e4afde135d

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Oct 12 03:00:22 2017 @author: KIRI """ import tellurium as te import roadrunner #r1 = te.loada(""" #S1 + S2 -> S3 + S4; k1*S1*S2; # #S1 = 1.0; S2 = 2.0; S3 = 0.1; S4 = .5; #k1 = 0.1 #""") # #rr1 = r1.simulate(0, 100, 100) #r1.plot() # #r2 = te.loada(""" #S1 -> S3; k1*S1; #S1 -> S4; k2*S1; #S2 -> S3; k3*S2; #S2 -> S4; k4*S2; # #S1 = 1.0; S2 = 2.0; S3 = 0.1; S4 = .5; #k1 = 0.05; k2 = 0.05; k3 = 0.05; k4 = 0.05; #""") # #rr2 = r2.simulate(0, 100, 100) #r2.plot() r3 = te.loada(""" S1 -> S2; k1*S1/(S4 + 1); S2 -> S1; k2*S2; S3 -> S4; k3*S2*S3; S4 -> S3; k4*S4; S1 = .83; S2 = 2.0; S3 = 0.1; S4 = .5 k1 = 0.05; k2 = 0.05; k3 = 0.05; k4 = 0.05; """) rr3 = r3.simulate(0, 100, 100) print(rr3[-1])

16.511111

44

0.487214

155

743

2.335484

0.283871

0.066298

0.074586

0.049724

0.243094

0

0.272569

0.224764

743

45

16.511111

0.355903

0.555855

0

0.166667

0.544851

0

1

0

false

0

0.166667

0

0.166667

0.083333

0

null

0

1

0

1

0

null

0

2

e03b99a0d6ed7482bf975115157496b08652fabc

547

py

Python

data_preprocess/make_columns.py

DariaMishina/stock-news

15fd3292f80656ab96b43dbb61122babde0b0c2c

[ "MIT" ]

6

2021-02-03T04:25:06.000Z

2022-01-28T15:28:45.000Z

data_preprocess/make_columns.py

DariaMishina/stock-news

15fd3292f80656ab96b43dbb61122babde0b0c2c

[ "MIT" ]

null

data_preprocess/make_columns.py

DariaMishina/stock-news

15fd3292f80656ab96b43dbb61122babde0b0c2c

[ "MIT" ]

5

2021-02-01T08:41:30.000Z

2021-09-30T22:10:49.000Z

import pandas as pd def get_shift_percentage(numerator: pd.Series, denominator: pd.Series) -> pd.Series: """ На сколько процентов изменилась переменная numerator относительно текущего denominator """ return numerator / denominator * 100 def get_shift_digit(s: pd.Series) -> pd.Series: """ Возвращает колонку с изменениями значений Для вызова этой функции необходимо очистить колонки Close от NaN """ assert not s.isna().any(), "Необходимо очистить колонку от NaN" return (s.shift(-1) - s).shift(1)

27.35

84

0.702011

70

547

5.428571

0.6

0.105263

0.057895

0.084211

0

0.011468

0.202925

547

19

85

28.789474

0.860092

0.352834

0

0.107937

0

0.166667

1

0.333333

false

0

0.166667

0

0.833333

0

null

0

null

0

1

0

1

0

2

e0470133f70ed1035f49b3237df6217abdc69e52

807

py

Python

Python_libraries/const.py

dorucioclea/Elrond-NFT-Trading

82259c367128a2a6410c5deb471ad54622b9fc89

[ "MIT" ]

3

2022-02-23T09:51:49.000Z

2022-03-01T07:19:55.000Z

Python_libraries/const.py

dorucioclea/Elrond-NFT-Trading

82259c367128a2a6410c5deb471ad54622b9fc89

[ "MIT" ]

null

Python_libraries/const.py

dorucioclea/Elrond-NFT-Trading

82259c367128a2a6410c5deb471ad54622b9fc89

[ "MIT" ]

1

2022-02-23T09:51:52.000Z

DECIMALS = {"GNG-8d7e05" : 1000000000000000000, "MEX-4183e7" : 1000000000000000000, "LKMEX-9acade" : 1000000000000000000, "WATER-104d38" : 1000000000000000000} TOKEN_TYPE = {"GNG-8d7e05" : "token", "MEX-4183e7" : "token", "WARMY-cc922b": "NFT", "LKMEX-9acade" : "META", "WATER-104d38" : "token", "COLORS-14cff1" : "NFT"} AUTHORIZED_TOKENS = ["GNG-8d7e05", "MEX-4183e7", "WARMY-cc922b", "LKMEX-9acade", "WATER-104d38", "COLORS-14cff1"] TOKEN_TYPE_U8 = {"Fungible" : "00", "NonFungible" : "01", "SemiFungible" : "02", "Meta" : "03"}

33.625

51

0.443618

58

807

6.103448

0.482759

0.076271

0

0.298319

0.410161

807

23

52

35.086957

0.445378

0

0.309789

0

1

0

false

0

null

0

1

0

1

0

null

0

2

e04cb21549efa116cc9086cdef036c0fd6951e82

12,761

py

Python

sdk/python/feast/specs/ImportSpec_pb2.py

davidheryanto/feast

72cc8bd2cd0040f7bc44df255f95bad00cacd720

[ "Apache-2.0" ]

null

sdk/python/feast/specs/ImportSpec_pb2.py

davidheryanto/feast

72cc8bd2cd0040f7bc44df255f95bad00cacd720

[ "Apache-2.0" ]

null

sdk/python/feast/specs/ImportSpec_pb2.py

davidheryanto/feast

72cc8bd2cd0040f7bc44df255f95bad00cacd720

[ "Apache-2.0" ]

2

2020-05-20T22:07:11.000Z

2021-07-25T17:28:24.000Z

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: feast/specs/ImportSpec.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='feast/specs/ImportSpec.proto', package='feast.specs', syntax='proto3', serialized_options=_b('\n\013feast.specsB\017ImportSpecProtoZ6github.com/gojek/feast/protos/generated/go/feast/specs'), serialized_pb=_b('\n\x1c\x66\x65\x61st/specs/ImportSpec.proto\x12\x0b\x66\x65\x61st.specs\x1a\x1fgoogle/protobuf/timestamp.proto\"\xba\x02\n\nImportSpec\x12\x0c\n\x04type\x18\x01 \x01(\t\x12\x41\n\rsourceOptions\x18\x02 \x03(\x0b\x32*.feast.specs.ImportSpec.SourceOptionsEntry\x12;\n\njobOptions\x18\x05 \x03(\x0b\x32\'.feast.specs.ImportSpec.JobOptionsEntry\x12\x10\n\x08\x65ntities\x18\x03 \x03(\t\x12#\n\x06schema\x18\x04 \x01(\x0b\x32\x13.feast.specs.Schema\x1a\x34\n\x12SourceOptionsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x1a\x31\n\x0fJobOptionsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"\xa2\x01\n\x06Schema\x12\"\n\x06\x66ields\x18\x01 \x03(\x0b\x32\x12.feast.specs.Field\x12\x19\n\x0ftimestampColumn\x18\x05 \x01(\tH\x00\x12\x34\n\x0etimestampValue\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.TimestampH\x00\x12\x16\n\x0e\x65ntityIdColumn\x18\x07 \x01(\tB\x0b\n\ttimestamp\"(\n\x05\x46ield\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x11\n\tfeatureId\x18\x02 \x01(\tBV\n\x0b\x66\x65\x61st.specsB\x0fImportSpecProtoZ6github.com/gojek/feast/protos/generated/go/feast/specsb\x06proto3') , dependencies=[google_dot_protobuf_dot_timestamp__pb2.DESCRIPTOR,]) _IMPORTSPEC_SOURCEOPTIONSENTRY = _descriptor.Descriptor( name='SourceOptionsEntry', full_name='feast.specs.ImportSpec.SourceOptionsEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='feast.specs.ImportSpec.SourceOptionsEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='feast.specs.ImportSpec.SourceOptionsEntry.value', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=290, serialized_end=342, ) _IMPORTSPEC_JOBOPTIONSENTRY = _descriptor.Descriptor( name='JobOptionsEntry', full_name='feast.specs.ImportSpec.JobOptionsEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='feast.specs.ImportSpec.JobOptionsEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='feast.specs.ImportSpec.JobOptionsEntry.value', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=344, serialized_end=393, ) _IMPORTSPEC = _descriptor.Descriptor( name='ImportSpec', full_name='feast.specs.ImportSpec', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='type', full_name='feast.specs.ImportSpec.type', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='sourceOptions', full_name='feast.specs.ImportSpec.sourceOptions', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='jobOptions', full_name='feast.specs.ImportSpec.jobOptions', index=2, number=5, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='entities', full_name='feast.specs.ImportSpec.entities', index=3, number=3, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='schema', full_name='feast.specs.ImportSpec.schema', index=4, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[_IMPORTSPEC_SOURCEOPTIONSENTRY, _IMPORTSPEC_JOBOPTIONSENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=79, serialized_end=393, ) _SCHEMA = _descriptor.Descriptor( name='Schema', full_name='feast.specs.Schema', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='fields', full_name='feast.specs.Schema.fields', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='timestampColumn', full_name='feast.specs.Schema.timestampColumn', index=1, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='timestampValue', full_name='feast.specs.Schema.timestampValue', index=2, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='entityIdColumn', full_name='feast.specs.Schema.entityIdColumn', index=3, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='timestamp', full_name='feast.specs.Schema.timestamp', index=0, containing_type=None, fields=[]), ], serialized_start=396, serialized_end=558, ) _FIELD = _descriptor.Descriptor( name='Field', full_name='feast.specs.Field', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='name', full_name='feast.specs.Field.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='featureId', full_name='feast.specs.Field.featureId', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=560, serialized_end=600, ) _IMPORTSPEC_SOURCEOPTIONSENTRY.containing_type = _IMPORTSPEC _IMPORTSPEC_JOBOPTIONSENTRY.containing_type = _IMPORTSPEC _IMPORTSPEC.fields_by_name['sourceOptions'].message_type = _IMPORTSPEC_SOURCEOPTIONSENTRY _IMPORTSPEC.fields_by_name['jobOptions'].message_type = _IMPORTSPEC_JOBOPTIONSENTRY _IMPORTSPEC.fields_by_name['schema'].message_type = _SCHEMA _SCHEMA.fields_by_name['fields'].message_type = _FIELD _SCHEMA.fields_by_name['timestampValue'].message_type = google_dot_protobuf_dot_timestamp__pb2._TIMESTAMP _SCHEMA.oneofs_by_name['timestamp'].fields.append( _SCHEMA.fields_by_name['timestampColumn']) _SCHEMA.fields_by_name['timestampColumn'].containing_oneof = _SCHEMA.oneofs_by_name['timestamp'] _SCHEMA.oneofs_by_name['timestamp'].fields.append( _SCHEMA.fields_by_name['timestampValue']) _SCHEMA.fields_by_name['timestampValue'].containing_oneof = _SCHEMA.oneofs_by_name['timestamp'] DESCRIPTOR.message_types_by_name['ImportSpec'] = _IMPORTSPEC DESCRIPTOR.message_types_by_name['Schema'] = _SCHEMA DESCRIPTOR.message_types_by_name['Field'] = _FIELD _sym_db.RegisterFileDescriptor(DESCRIPTOR) ImportSpec = _reflection.GeneratedProtocolMessageType('ImportSpec', (_message.Message,), dict( SourceOptionsEntry = _reflection.GeneratedProtocolMessageType('SourceOptionsEntry', (_message.Message,), dict( DESCRIPTOR = _IMPORTSPEC_SOURCEOPTIONSENTRY, __module__ = 'feast.specs.ImportSpec_pb2' # @@protoc_insertion_point(class_scope:feast.specs.ImportSpec.SourceOptionsEntry) )) , JobOptionsEntry = _reflection.GeneratedProtocolMessageType('JobOptionsEntry', (_message.Message,), dict( DESCRIPTOR = _IMPORTSPEC_JOBOPTIONSENTRY, __module__ = 'feast.specs.ImportSpec_pb2' # @@protoc_insertion_point(class_scope:feast.specs.ImportSpec.JobOptionsEntry) )) , DESCRIPTOR = _IMPORTSPEC, __module__ = 'feast.specs.ImportSpec_pb2' # @@protoc_insertion_point(class_scope:feast.specs.ImportSpec) )) _sym_db.RegisterMessage(ImportSpec) _sym_db.RegisterMessage(ImportSpec.SourceOptionsEntry) _sym_db.RegisterMessage(ImportSpec.JobOptionsEntry) Schema = _reflection.GeneratedProtocolMessageType('Schema', (_message.Message,), dict( DESCRIPTOR = _SCHEMA, __module__ = 'feast.specs.ImportSpec_pb2' # @@protoc_insertion_point(class_scope:feast.specs.Schema) )) _sym_db.RegisterMessage(Schema) Field = _reflection.GeneratedProtocolMessageType('Field', (_message.Message,), dict( DESCRIPTOR = _FIELD, __module__ = 'feast.specs.ImportSpec_pb2' # @@protoc_insertion_point(class_scope:feast.specs.Field) )) _sym_db.RegisterMessage(Field) DESCRIPTOR._options = None _IMPORTSPEC_SOURCEOPTIONSENTRY._options = None _IMPORTSPEC_JOBOPTIONSENTRY._options = None # @@protoc_insertion_point(module_scope)

40.382911

1,174

0.749471

1,594

12,761

5.720828

0.120452

0.044742

0.052637

0.041452

0.654129

0.572651

0.538656

0.513543

0

0.036302

0.11927

12,761

315

1,175

40.511111

0.775069

0.040671

0

0.626335

1

0.010676

0.14357

0.097784

0

1

0

false

0

0.163701

0

0.163701

0

null

0

1

0

1

0

null

0

2

e0508b48620632e8ca7a48fd7699a12b16c9dfa4

1,373

py

Python

app/Model/Peaks/Peak.py

MrPSnrub/NMRVisualisation

1831689ed0cd22be8f42d9a4d17d0b4db47241e8

[ "MIT" ]

null

app/Model/Peaks/Peak.py

MrPSnrub/NMRVisualisation

1831689ed0cd22be8f42d9a4d17d0b4db47241e8

[ "MIT" ]

null

app/Model/Peaks/Peak.py

MrPSnrub/NMRVisualisation

1831689ed0cd22be8f42d9a4d17d0b4db47241e8

[ "MIT" ]

null

class Peak: """A peak found in spectra. Attributes: id: Rounded X-coordinate used to collate peak data x: X-coordinates of peak along its traversal through spectra y: Y-coordinates of peak along its traversal through spectra z: Z-coordinates of peak along its traversal through spectra """ def __init__(self, peak_id, x, y, z): self.peak_id = peak_id self.x = x self.y = y self.z = z self.length = len(x) + len(y) + len(z) def add_coordinates(self, x, y, z): """Adds x, y, z co-ordinates to their respective lists.""" self.x.extend(x) self.y.extend(y) self.z.extend(z) def remove_coordinates(self, amount): """Removes number of co-ordinates to solve missing data problem (https://en.wikipedia.org/wiki/Missing_data) (Length of peak data will differ across all peaks, so remove redundant data to ensure peak data matches average length of all detected peak data.""" for i in range(amount): self.x.pop() self.y.pop() self.z.pop() def peak_length(self): self.length = len(self.z) return self.length def x_coordinates(self): return self.x def y_coordinates(self): return self.y def z_coordinates(self): return self.z

30.511111

116

0.607429

200

1,373

4.1

0.32

0.030488

0.062195

0.080488

0.17561

0

0.298616

1,373

44

117

31.204545

0.851506

0.431173

0

1

0.28

false

0

0.12

0.48

0

null

0

null

0

1

0

1

0

2

e06481e842e46fa5ae5ce92a1fcdb40eb1b3e92a

326

py

Python

aiida/orm/nodes/data/remote/stash/__init__.py

azadoks/aiida-core

b806b7fef8fc79090deccfe2019b77cb922e0581

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

180

2019-07-12T07:45:26.000Z

2022-03-22T13:16:57.000Z

aiida/orm/nodes/data/remote/stash/__init__.py

azadoks/aiida-core

b806b7fef8fc79090deccfe2019b77cb922e0581

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

2,466

2016-12-24T01:03:52.000Z

2019-07-04T13:41:08.000Z

aiida/orm/nodes/data/remote/stash/__init__.py

azadoks/aiida-core

b806b7fef8fc79090deccfe2019b77cb922e0581

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

88

2019-07-06T01:42:39.000Z

2022-03-18T14:20:09.000Z

# -*- coding: utf-8 -*- """Module with data plugins that represent files of completed calculations jobs that have been stashed.""" # AUTO-GENERATED # yapf: disable # pylint: disable=wildcard-import from .base import * from .folder import * __all__ = ( 'RemoteStashData', 'RemoteStashFolderData', ) # yapf: enable

18.111111

106

0.702454

37

326

6.081081

0.837838

0.088889

0

0.003731

0.177914

326

17

107

19.176471

0.835821

0.604294

0

1

0

0.302521

0.176471

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

null

0

1

0

2

e06d2fd158511a6c7851923a7b2f037169754fcb

947

py

Python

PYTFUN/170_Test_Driven_Development/bank_account.py

Pazzobg/PRG_PYTFUN

b661a3dd99279b3b7e3971ed1f1a194b26959f74

[ "MIT" ]

null

PYTFUN/170_Test_Driven_Development/bank_account.py

Pazzobg/PRG_PYTFUN

b661a3dd99279b3b7e3971ed1f1a194b26959f74

[ "MIT" ]

null

PYTFUN/170_Test_Driven_Development/bank_account.py

Pazzobg/PRG_PYTFUN

b661a3dd99279b3b7e3971ed1f1a194b26959f74

[ "MIT" ]

null

from datetime import datetime as dt class Account(): def __init__(self, account_nr, client_name, opening_date, interest_rate, opening_amount): self.account_nr = account_nr self.client_name = client_name self.opening_date = dt.strptime(opening_date, "%Y-%m-%d") self.interest_rate = interest_rate self.balance = opening_amount def deposit(self, amount): if not self.check_enough_balance(amount): raise ValueError("Wrong amount!") pass def withdraw(self, amount): if not self.check_enough_balance(amount): raise ValueError("Wrong amount!") pass def transfer_amount(self, amount, transfer_direction, transfer_account_nr): if not self.check_enough_balance(amount): raise ValueError("Wrong amount!") pass def check_enough_balance(self, minus_amount): return self.balance - minus_amount >= 0

29.59375

93

0.668427

117

947

5.136752

0.324786

0.0599

0.1198

0.069884

0.362729

0

0.001401

0.24604

947

31

94

30.548387

0.840336

0

0.409091

0

0.04963

0

1

0.227273

false

0.136364

0.045455

0.363636

0

null

0

null

0

1

0

1

0

2

e06d3507b4fe8967f6e4ef688a697c57ce276b97

380

py

Python

Chapter09/hikingapp/application/hiking/server.py

maggias/Python-Web-Development-with-Sanic

a0337b9324b4d898f79c5621705b7d0171eeb21d

[ "MIT" ]

16

2022-01-03T22:17:20.000Z

2022-03-26T09:41:35.000Z

Chapter09/hikingapp/application/hiking/server.py

maggias/Python-Web-Development-with-Sanic

a0337b9324b4d898f79c5621705b7d0171eeb21d

[ "MIT" ]

3

2022-01-18T11:21:56.000Z

2022-03-13T08:51:14.000Z

Chapter09/hikingapp/application/hiking/server.py

maggias/Python-Web-Development-with-Sanic

a0337b9324b4d898f79c5621705b7d0171eeb21d

[ "MIT" ]

4

2022-01-11T21:16:07.000Z

2022-03-30T06:24:30.000Z

from sanic import Sanic from hiking.common.log import setup_logging def create_app(): app = Sanic("HikingApp") setup_logging(app) from hiking.blueprints.view import bp # noqa from hiking.middleware import request_context # noqa from hiking.worker import postgres # noqa from hiking.worker import redis # noqa app.blueprint(bp) return app

21.111111

57

0.718421

51

380

5.27451

0.470588

0.185874

0.156134

0.148699

0.193309

0

0.218421

380

17

58

22.352941

0.905724

0.05

0

0.025281

0

1

0.090909

false

0

0.545455

0

0.727273

0.181818

0

null

0

null

0

1

0

1

0

2

e071df6180dbb912b02250e2cc25fc29c18881bc

16,659

py

Python

packages/gsl/Vector.py

gmgunter/pyre

e9ff3f8c04661f8b2cd2ba0caded08b6fe8054e2

[ "BSD-3-Clause" ]

25

2018-04-23T01:45:39.000Z

2021-12-10T06:01:23.000Z

packages/gsl/Vector.py

gmgunter/pyre

e9ff3f8c04661f8b2cd2ba0caded08b6fe8054e2

[ "BSD-3-Clause" ]

53

2018-05-31T04:55:00.000Z

2021-10-07T21:41:32.000Z

packages/gsl/Vector.py

gmgunter/pyre

e9ff3f8c04661f8b2cd2ba0caded08b6fe8054e2

[ "BSD-3-Clause" ]

12

2018-04-23T22:50:40.000Z

2022-02-20T17:27:23.000Z

# -*- coding: utf-8 -*- # # michael a.g. aïvázis # orthologue # (c) 1998-2021 all rights reserved # # externals import numbers from . import gsl # the extension # the class declaration class Vector: """ A wrapper over a gsl vector """ # types from .Permutation import Permutation as permutation # constants defaultFormat = "+16.7" # class methods # mpi support @classmethod def bcast(cls, vector=None, communicator=None, source=0): """ Broadcast the given {vector} from {source} to all tasks in {communicator} """ # normalize the communicator if communicator is None: # get the mpi package import mpi # use the world by default communicator = mpi.world # get the vector capsule data = None if vector is None else vector.data # scatter the data capsule, shape = gsl.bcastVector(communicator.capsule, source, data) # dress up my local portion as a vector result = cls(shape=shape, data=capsule) # and return it return result @classmethod def collect(cls, vector, communicator=None, destination=0): """ Gather the data in {vector} from each task in {communicator} into one big vector available at the {destination} task """ # normalize the communicator if communicator is None: # get the mpi package import mpi # use the world by default communicator = mpi.world # gather the data result = gsl.gatherVector(communicator.capsule, destination, vector.data) # if i am not the destination task, nothing further to do if communicator.rank != destination: return # otherwise, unpack the result data, shape = result # dress up the result as a vector result = cls(shape=shape, data=data) # and return it return result def excerpt(self, communicator=None, source=0, vector=None): """ Scatter {vector} held by the task {source} among all tasks in {communicator} and fill me with the partition values. Only {source} has to provide a {vector}; the other tasks can use the default value. """ # normalize the communicator if communicator is None: # get the mpi package import mpi # use the world by default communicator = mpi.world # get the vector capsule data = None if vector is None else vector.data # scatter the data gsl.scatterVector(communicator.capsule, source, self.data, data) # and return me return self # public data @property def elements(self): """ Iterate over all my elements """ # i'm already accessible as an iterator yield from self # all done return # initialization def zero(self): """ Set all my elements to zero """ # zero me out gsl.vector_zero(self.data) # and return return self def fill(self, value): """ Set all my elements to {value} """ # grab my capsule data = self.data # first, attempt to try: # convert {value} into a float value = float(value) # if this fails except TypeError: # go through the input values for idx, elem in zip(range(self.shape), value): # set the value gsl.vector_set(data, idx, float(elem)) # if the conversion to float were successful else: # fill me with {value} gsl.vector_fill(data, value) # all done return self def basis(self, index): """ Initialize me as a basis vector: all elements are set to zero except {index}, which is set to one """ # initialize gsl.vector_basis(self.data, index) # and return return self def random(self, pdf): """ Fill me with random numbers using the probability distribution {pdf} """ # the {pdf} knows how to do this return pdf.vector(vector=self) def clone(self): """ Allocate a new vector and initialize it using my values """ # build the clone clone = type(self)(shape=self.shape) # have the extension initialize the clone gsl.vector_copy(clone.data, self.data) # and return it return clone def copy(self, other): """ Fill me with values from {other}, which is assumed to be of compatible shape """ # fill me with values from {other} gsl.vector_copy(self.data, other.data) # and return me return self def tuple(self): """ Build a representation of my contents as a tuple """ # ask the extension to build the rep rep = gsl.vector_tuple(self.data) # and return it return rep def view(self, start, shape): """ Build a view of my from {start} to {start+shape} """ # access the view object from .VectorView import VectorView # build and return one return VectorView(vector=self, start=start, shape=shape) def load(self, filename, binary=None): """ Read my values from {filename} This method attempts to distinguish between text and binary representations of the data, based on the parameter {mode}, or the {filename} extension if {mode} is absent """ # if the caller asked for binary mode if binary is True: # pick the binary representation return self.read(filename) # if the caller asked for ascii mode if binary is False: # pick ascii return self.scanf(filename) # otherwise, look at the file extension suffix = filename.suffix # if it's {bin} if suffix == "bin": # go binary return self.read(filename) # otherwise return self.scanf(filename) def save(self, filename, binary=None, format=defaultFormat): """ Write my values to {filename} This method attempts to distinguish between text and binary representations of the data, based on the parameter {mode}, or the {filename} extension if {mode} is absent """ # if the caller asked for binary mode if binary is True: # pick the binary representation return self.write(filename) # if the caller asked for ascii mode if binary is False: # pick ascii return self.printf(filename=filename, format=format) # otherwise, look at the file extension suffix = filename.suffix # if it's {bin} if suffix == ".bin": # go binary return self.write(filename) # otherwise return self.printf(filename=filename, format=format) def read(self, filename): """ Read my values from {filename} """ # read gsl.vector_read(self.data, filename.path) # and return return self def write(self, filename): """ Write my values to {filename} """ # write gsl.vector_write(self.data, filename.path) # and return return self def scanf(self, filename): """ Read my values from {filename} """ # read gsl.vector_scanf(self.data, filename.path) # and return return self def printf(self, filename, format=defaultFormat): """ Write my values to {filename} """ # write gsl.vector_printf(self.data, filename.path, '%'+format+'e') # and return return self def print(self, format='{:+13.4e}', indent='', interactive=True): """ Print my values using the given {format} """ # build the line line = ' '.join( [ '{}['.format(indent) ] + [ format.format(value) for value in self ] + [']'] ) # if we are in interactive mode if interactive: # print all this our print(line) # all done return line # maxima and minima def max(self): """ Compute my maximum value """ # easy enough return gsl.vector_max(self.data) def min(self): """ Compute my maximum value """ # easy enough return gsl.vector_min(self.data) def minmax(self): """ Compute my minimum and maximum values """ # easy enough return gsl.vector_minmax(self.data) # statistics def sort(self): """ In-place sort of the elements of a vector """ # sort gsl.vector_sort(self.data) # and return myself return self def sortIndirect(self): """ Construct the permutation that would sort me in ascending order """ # get the permutation capsule pdata = gsl.vector_sortIndex(self.data) # build a permutation object and return it return self.permutation(shape=self.shape, data=pdata) def mean(self, weights=None): """ Compute the mean value of my elements, weighted by the optional {weights} """ # easy enough return gsl.vector_mean(self.data, weights.data if weights is not None else None) def median(self): """ Compute the median value of my elements; only works on previously sorted vectors """ # easy enough return gsl.vector_median(self.data) def variance(self, mean=None): """ Compute the variance of my elements with respect to {mean}. If {mean} is {None}, it is computed on the fly """ # easy enough return gsl.vector_variance(self.data, float(mean) if mean is not None else None) def sdev(self, mean=None): """ Compute the mean value of my elements with respect to {mean}. If {mean} is {None}, it is computed on the fly """ # easy enough return gsl.vector_sdev(self.data, float(mean) if mean is not None else None) def ndarray(self, copy=False): """ Return a numpy array reference (w/ shared data) if {copy} is False, or a new copy if {copy} is {True} """ # call c-api extension to create a numpy array reference array = gsl.vector_ndarray(self.data) # whether the data copy is required if copy: array = array.copy() return array # meta methods def __init__(self, shape, data=None, **kwds): # chain up super().__init__(**kwds) # adjust the shape, just in case shape = int(shape) # store self.shape = shape self.data = gsl.vector_alloc(shape) if data is None else data # all done return # container support def __len__(self): # easy return self.shape def __iter__(self): # for each valid value of the index for index in range(self.shape): # produce the corresponding element yield gsl.vector_get(self.data, index) # no more return def __contains__(self, value): # faster than checking every element in python return gsl.vector_contains(self.data, value) def __getitem__(self, index): # assuming {index} is convertible into an integer, attempt to try: # get and return the element return gsl.vector_get(self.data, int(index)) # if this fails except TypeError: # check whether {index} is a slice if type(index) is not slice: # if not, we are out of ideas raise TypeError( 'vector indices must be integers, not {.__name__}'.format(type(index))) # we have a slice, so return an appropriate value generator return self._slice(index) def __setitem__(self, index, value): # assuming {index} is convertible into an integer, attempt to try: # set the corresponding element to the provided value return gsl.vector_set(self.data, int(index), value) # if this fails except TypeError: # check whether {index} is a slice if type(index) is not slice: # if not, we are out of ideas raise TypeError( 'vector indices must be integers, not {.__name__}'.format(type(index))) # we have a slice; assume {value} is a compatible iterable try: # iterate over the slice and the values for i,v in zip(range(*index.indices(self.shape)), value): # and set the corresponding vector element gsl.vector_set(self.data, i, v) except TypeError: raise TypeError('can only assign an iterable') # all done return # comparisons def __eq__(self, other): # type check if type(self) is not type(other): return NotImplemented # hand the request off to the extension module return gsl.vector_equal(self.data, other.data) def __ne__(self, other): return not (self == other) # in-place arithmetic def __iadd__(self, other): """ In-place addition with the elements of {other} """ # if other is a vector if isinstance(other, Vector): # do vector-vector addition gsl.vector_add(self.data, other.data) # and return return self # if other is a number if isinstance(other, numbers.Number): # do constant addition gsl.vector_shift(self.data, float(other)) # and return return self # otherwise, let the interpreter know raise NotImplemented def __isub__(self, other): """ In-place subtraction with the elements of {other} """ # if other is a vector if isinstance(other, Vector): # do vector-vector subtraction gsl.vector_sub(self.data, other.data) # and return return self # if other is a number if isinstance(other, numbers.Number): # do constant subtraction gsl.vector_shift(self.data, -float(other)) # and return return self # otherwise, let the interpreter know raise NotImplemented def __imul__(self, other): """ In-place multiplication with the elements of {other} """ # if other is a vector if isinstance(other, Vector): # do vector-vector multiplication gsl.vector_mul(self.data, other.data) # and return return self # if other is a number if isinstance(other, numbers.Number): # do scaling by constant gsl.vector_scale(self.data, float(other)) # and return return self # otherwise, let the interpreter know raise NotImplemented def __itruediv__(self, other): """ In-place addition with the elements of {other} """ # if other is a vector if isinstance(other, Vector): # do vector-vector division gsl.vector_div(self.data, other.data) # and return return self # if other is a number if isinstance(other, numbers.Number): # do scaling by constant gsl.vector_scale(self.data, 1/float(other)) # and return return self # otherwise, let the interpreter know raise NotImplemented # implementation details def _slice(self, index): """ Build a generator that yields the values described in the {index} """ # iterate over the indices for i in range(*index.indices(self.shape)): # yield the corresponding value yield gsl.vector_get(self.data, i) # all done return # private data data = None # end of file

27.951342

109

0.563779

1,967

16,659

4.724453

0.179461

0.036802

0.022598

0.028624

0.470354

0.428495

0.399548

0.385451

0.36436

0.350802

0

0.001777

0.358305

16,659

595

110

27.998319

0.86754

0.360466

0

0.376812

0

0.015714

0

1

0.202899

false

0

0.033816

0.014493

0.512077

0.028986

0

null

0

null

0

1

0

1

0

2

e075957167bccf1ecb23bf44924b30eb7476d30f

1,532

py

Python

day8.py

mayitbeegh/advent-of-code-2020

1b35bdad595db3ce72712e5e81163ae7f48c344c

[ "MIT" ]

3

2020-12-07T22:20:32.000Z

2020-12-07T22:21:56.000Z

day8.py

mayitbeegh/advent-of-code-2020

1b35bdad595db3ce72712e5e81163ae7f48c344c

[ "MIT" ]

null

day8.py

mayitbeegh/advent-of-code-2020

1b35bdad595db3ce72712e5e81163ae7f48c344c

[ "MIT" ]

null

def part_one(inputs): return get_acc(inputs, False) def part_two(inputs): for current_line in range(len(inputs)): backup = inputs[current_line] try: if inputs[current_line][:3] == 'nop' and inputs[current_line][4:] != '+0': inputs[current_line] = 'jmp' + inputs[current_line][3:] return get_acc(inputs, True) elif inputs[current_line][:3] == 'jmp': inputs[current_line] = 'nop' + inputs[current_line][3:] return get_acc(inputs, True) except: inputs[current_line] = backup def get_acc(inputs, raise_on_loop): executed_lines = set() acc = 0 current_line = 0 while current_line not in executed_lines: if current_line >= len(inputs): return acc executed_lines.add(current_line) if inputs[current_line][:3] == 'nop': current_line += 1 elif inputs[current_line][:3] == 'jmp': current_line += int(inputs[current_line][4:]) elif inputs[current_line][:3] == 'acc': acc += int(inputs[current_line][4:]) current_line += 1 if raise_on_loop: raise else: return acc test_inputs = """nop +0 acc +1 jmp +4 acc +3 jmp -3 acc -99 acc +1 jmp -4 acc +6""".split('\n') assert part_one(test_inputs) == 5 assert part_two(test_inputs) == 8 with open('day8.input') as f: inputs = f.read().splitlines() print(part_one(inputs)) print(part_two(inputs))

27.357143

86

0.577023

205

1,532

4.107317

0.273171

0.287411

0.28266

0.149644

0.311164

0.209026

0.095012

0

0.025759

0.29047

1,532

55

87

27.854545

0.74885

0

0.208333

0

0.063969

0

0.041667

1

0.0625

false

0

0.020833

0.166667

0.041667

0

null

1

0

null

0

2

0eba2208744f07369091fb7690933857649738bb

1,695

py

Python

25. python lists.py

JatinR05/Python-3-basics-series

e4b3d8056e2074602c9ed0cd201676484dd0d179

[ "MIT" ]

41

2015-05-12T12:49:35.000Z

2021-07-13T11:07:09.000Z

25. python lists.py

JatinR05/Python-3-basics-series

e4b3d8056e2074602c9ed0cd201676484dd0d179

[ "MIT" ]

null

25. python lists.py

JatinR05/Python-3-basics-series

e4b3d8056e2074602c9ed0cd201676484dd0d179

[ "MIT" ]

37

2016-10-13T04:02:09.000Z

2021-12-16T18:28:27.000Z

''' Since lists are mutable, this means that we will be using lists for things where we might intend to manipulate the list of data, so how can we do that? Turns out we can do all sorts of things. We can add, remove, count, sort, search, and do quite a few other things to python lists. ''' # first we need an example list: x = [1,6,3,2,6,1,2,6,7] # lets add something. # we can do .append, which will add something to the end of the list, like: x.append(55) print(x) # what if you have an exact place that you'd like to put something in a list? x.insert(2,33) print(x) # so the reason that went in the 3rd place, again, is because we start # at the zero element, then go 1, 2.. .and so on. # now we can remove things... .remove will remove the first instance # of the value in the list. If it doesn't exist, there will be an error: x.remove(6) print(x) #next, remember how we can reference an item by index in a list? like: print(x[5]) # well we can also search for this index, like so: print(x.index(1)) # now here, we can see that it actually returned a 0, meaning the # first element was a 1... when we knew there was another with an index of 5. # so instead we might want to know before-hand how many examples there are. print(x.count(1)) # so we see there are actually 2 of them # we can also sort the list: x.sort() print(x) # what if these were strings? like: y = ['Jan','Dan','Bob','Alice','Jon','Jack'] y.sort() print(y) # noooo problemo! # You can also just reverse a list, but, before we go there, we should note that # all of these manipulations are mutating the list. keep in mind that any # changes you make will modify the existing variable.

21.455696

80

0.703245

328

1,695

3.634146

0.448171

0.033557

0.011745

0.020134

0

0.018587

0.20649

1,695

78

81

21.730769

0.867658

0.821239

0

0.266667

0

0.077491

0

1

0

false

0

0.533333

0

null

0

1

0

null

0

1

0

2

0ec1392f92d3736989af6b49b2a5ac2ae00a5f3f

401

py

Python

test/test_decode.py

jzkj-luolinh/simonsc

a3c47d4ae6eba71e91f6110fe53bf1fc2e99736d

[ "Apache-2.0" ]

2

2020-12-09T01:55:42.000Z

2021-06-30T18:28:25.000Z

test/test_decode.py

jzkj-luolinh/simonsc

a3c47d4ae6eba71e91f6110fe53bf1fc2e99736d

[ "Apache-2.0" ]

1

2020-12-31T06:09:56.000Z

test/test_decode.py

jzkj-luolinh/simonsc

a3c47d4ae6eba71e91f6110fe53bf1fc2e99736d

[ "Apache-2.0" ]

10

2020-10-16T07:36:04.000Z

2021-01-25T08:57:47.000Z

# #!/usr/bin/env python3 # # -*- coding: utf-8 -*- # import pandas as pd # import datetime # from simonsc import auth # from simonsc import history_bars # auth("quantresearch","quantresearch") # dt = datetime.datetime(2020,4,20) # fields=["datetime","open","high","low","close"] # data = history_bars(order_book_id="000001.XSHE", dt=dt, bar_count=20, frequency="1d", fields=fields) # print(data)

23.588235

102

0.690773

56

401

4.857143

0.678571

0.080882

0.125

0

0.051282

0.124688

401

16

103

25.0625

0.723647

0.925187

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

0ec1f5b1cff3e8873b8bdbe0baa64e19fe70f666

2,550

py

Python

subreddit_summarizer/auth.py

uszkaisandor/subreddit-summarizer

6dd36836181bb3047f0ef17bf8542fd3ceab61de

[ "MIT" ]

null

subreddit_summarizer/auth.py

uszkaisandor/subreddit-summarizer

6dd36836181bb3047f0ef17bf8542fd3ceab61de

[ "MIT" ]

null

subreddit_summarizer/auth.py

uszkaisandor/subreddit-summarizer

6dd36836181bb3047f0ef17bf8542fd3ceab61de

[ "MIT" ]

null

from flask import ( Blueprint, redirect, render_template, request, session, url_for, current_app ) import pymongo from werkzeug.security import check_password_hash, generate_password_hash bp = Blueprint('auth', __name__, url_prefix='/') """ Connect to MongoDB """ conn = pymongo.MongoClient() # connect to localhost db = conn['redditclient'] # select database users = db['users'] # select users collection subreddits = db['subreddits'] """ App entry """ @bp.route('/') def index(): if 'username' in session: user = session['username'] return redirect(url_for('reddit.get_reddit')) return render_template('index.html') """ Register """ @bp.route('/register', methods=['POST', 'GET']) def register(): error = None if request.method == 'POST': username = request.form['username'] password = request.form['password'] if not username: error = 'Username is required.' elif not password or len(password) < 8: error = 'Password is required (8 characters min).' elif db.users.find_one({'username': username}): error = 'The username "{}" already exists!'.format(username) if error is None: password_hash = generate_password_hash(password) db.users.insert_one( {'username': username, 'password': password_hash, 'subreddits': [], 'posts': []}) return redirect(url_for('index')) return render_template('register.html', error=error) @bp.route('/login', methods=['GET', 'POST']) def login(): error = None if request.method == 'POST': username = request.form['username'] password = request.form['password'] user = db.users.find_one({'username': request.form['username']}) if user is None: error = 'Incorrect username.' elif not check_password_hash(user['password'], password): error = 'Incorrect password.' if error is None: session.clear() session['username'] = user['username'] return redirect(url_for('index')) return render_template('index.html', error=error) @bp.route('/logout', methods=['POST']) def logout(): if request.method == 'POST': session.clear() return redirect(url_for('index')) @bp.route('/delete_user', methods=['POST']) def delete_user(): if request.method == 'POST': db.users.delete_one({"username" : session['username']}) session.clear() return redirect(url_for('index'))

31.097561

97

0.619216

286

2,550

5.405594

0.272727

0.023286

0.054981

0.064683

0.354463

0.21216

0.164295

0.10608

0

0.001022

0.232549

2,550

81

98

31.481481

0.788963

0.023529

0

0.306452

1

0

0.185567

0

1

0.080645

false

0.145161

0.048387

0

0.258065

0.032258

0

null

0

1

0

null

0

1

0

2

0ec8d41d280ea99101dd0eda23622d3bd2ba7264

130

py

Python

d-series/d579.py

TheLurkingCat/ZeroJudge

6fc49c54a45e2b4b3a8d04b7a5a1fc81a2ff4eee

[ "MIT" ]

1

2018-10-21T10:03:42.000Z

d-series/d579.py

TheLurkingCat/ZeroJudge

6fc49c54a45e2b4b3a8d04b7a5a1fc81a2ff4eee

[ "MIT" ]

null

d-series/d579.py

TheLurkingCat/ZeroJudge

6fc49c54a45e2b4b3a8d04b7a5a1fc81a2ff4eee

[ "MIT" ]

2

2018-10-12T16:40:11.000Z

2021-04-05T12:05:36.000Z

while True: try: a = float(input()) except EOFError: break print('|{:.4f}|={:.4f}'.format(a, abs(a)))

18.571429

46

0.476923

16

130

3.875

0.8125

0

0.021978

0.3

130

6

47

21.666667

0.659341

0

0.115385

0

1

0

false

0

0.166667

1

0

null

0

1

0

null

0

2

0edb193daed3f23599e865e05db17baf8d451a4c

423

py

Python

tests/test_ledger.py

aslehigh/piecash

797aca5abd08b686e5d47f077b00a095fb4804ed

[ "MIT" ]

null

tests/test_ledger.py

aslehigh/piecash

797aca5abd08b686e5d47f077b00a095fb4804ed

[ "MIT" ]

null

tests/test_ledger.py

aslehigh/piecash

797aca5abd08b686e5d47f077b00a095fb4804ed

[ "MIT" ]

null

# -*- coding: latin-1 -*- import pytest import sys import codecs import piecash from test_helper import file_template_full if sys.version_info.major == 2: out = codecs.getwriter('UTF-8')(sys.stdout) else: out = sys.stdout class TestLedger_out_write(object): def test_out_write(self): with piecash.open_book( file_template_full, open_if_lock=True ) as data: out.write(piecash.ledger(data))

24.882353

80

0.718676

63

423

4.619048

0.619048

0.082474

0.109966

0

0.008596

0.174941

423

17

81

24.882353

0.825215

0.054374

0

0.012531

0

1

0.076923

false

0

0.384615

0

0.538462

0

null

0

null

0

1

0

1

0

2

0ef671b4c13504159cc80475fd98eba6e1706ee2

5,786

py

Python

Tools/HIL/run_tests.py

AlexanderAurora/Firmware

c307a046f9370f7a4016a6eeeaa5ef2a30549eae

[ "BSD-3-Clause" ]

null

Tools/HIL/run_tests.py

AlexanderAurora/Firmware

c307a046f9370f7a4016a6eeeaa5ef2a30549eae

[ "BSD-3-Clause" ]

null

Tools/HIL/run_tests.py

AlexanderAurora/Firmware

c307a046f9370f7a4016a6eeeaa5ef2a30549eae

[ "BSD-3-Clause" ]

null

#! /usr/bin/python import serial, time import subprocess from subprocess import call, Popen from argparse import ArgumentParser import re import unittest import os def do_test(port, baudrate, test_name): databits = serial.EIGHTBITS stopbits = serial.STOPBITS_ONE parity = serial.PARITY_NONE ser = serial.Serial(port, baudrate, databits, parity, stopbits, timeout=10) ser.write('\n') success = False timeout = 10 # 10 seconds timeout_start = time.time() while True: serial_line = ser.readline() print(serial_line.replace('\n','')) if "nsh>" in serial_line: break elif "NuttShell (NSH)" in serial_line: break if time.time() > timeout_start + timeout: print("Error, timeout") break ser.write('\n') time.sleep(0.01) # run test cmd cmd = 'tests ' + test_name ser.write(cmd + '\n') timeout = 180 # 3 minutes timeout_start = time.time() timeout_newline = timeout_start while True: serial_line = ser.readline() print(serial_line.replace('\n','')) if cmd in serial_line: continue elif test_name + " PASSED" in serial_line: success = True break elif test_name + " FAILED" in serial_line: success = False break if time.time() > timeout_start + timeout: print("Error, timeout") print(test_name + " FAILED") success = False break # newline every 30 seconds if still running if time.time() - timeout_newline > 30: ser.write('\n') timeout_newline = time.time() ser.close() return success class TestHardwareMethods(unittest.TestCase): TEST_DEVICE = 0 TEST_BAUDRATE = 0 def test_atomic_bitset(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "atomic_bitset")) def test_bezier(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "bezier")) def test_bitset(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "bitset")) def test_bson(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "bson")) def test_commander(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "commander")) def test_controllib(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "controllib")) # def test_dataman(self): # self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "dataman")) def floattest_float(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "float")) def test_hrt(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "hrt")) def test_IntrusiveQueue(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "IntrusiveQueue")) def test_IntrusiveSortedList(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "IntrusiveSortedList")) def test_List(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "List")) def test_mathlib(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "mathlib")) def test_matrix(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "matrix")) def test_microbench_atomic(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "microbench_atomic")) def test_microbench_hrt(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "microbench_hrt")) def test_microbench_math(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "microbench_math")) def test_microbench_matrix(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "microbench_matrix")) def test_microbench_uorb(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "microbench_uorb")) # def test_mixer(self): # self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "mixer")) def test_param(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "param")) def test_parameters(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "parameters")) def test_perf(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "perf")) # def test_rc(self): # self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "rc")) def test_search_min(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "search_min")) def test_sleep(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "sleep")) def test_smoothz(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "smoothz")) def test_time(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "time")) def test_uorb(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "uorb")) def test_versioning(self): self.assertTrue(do_test(self.TEST_DEVICE, self.TEST_BAUDRATE, "versioning")) def main(): parser = ArgumentParser(description=__doc__) parser.add_argument('--device', "-d", nargs='?', default = None, help='') parser.add_argument("--baudrate", "-b", dest="baudrate", type=int, help="Mavlink port baud rate (default=57600)", default=57600) args = parser.parse_args() TestHardwareMethods.TEST_DEVICE = args.device TestHardwareMethods.TEST_BAUDRATE = args.baudrate unittest.main(__name__, argv=['main']) if __name__ == "__main__": main()

31.445652

132

0.673349

735

5,786

5.053061

0.165986

0.129241

0.145396

0.161551

0.526387

0.516963

0

0.006333

0.208607

5,786

183

133

31.617486

0.804761

0.06654

0

0.198347

0

0.076067

0

0.223141

1

0.239669

false

0.008264

0.057851

0

0.330579

0.041322

0

null

0

1

0

null

0

1

0

2

0eff23cb96a53d97373dd9fa43c22fb3599cd690

3,118

py

Python

test_user.py

Marah-uwase/Password_locker

d658d72e3e3b8f3317d30e6bb8f2d1cad7fdaed0

[ "MIT" ]

null

test_user.py

Marah-uwase/Password_locker

d658d72e3e3b8f3317d30e6bb8f2d1cad7fdaed0

[ "MIT" ]

null

test_user.py

Marah-uwase/Password_locker

d658d72e3e3b8f3317d30e6bb8f2d1cad7fdaed0

[ "MIT" ]

null

import unittest from user import User import pyperclip class testUser(unittest.TestCase): ''' Test class that defines test cases for the user class behaviours. Args: unittest.TestCase: TestCase class that helps in creating test cases ''' def setUp(self): """ Method to run before each test case """ self.new_user = User("Maranatha", "uwase", "Marah-uwase", "marahuwase@31998") # Create user object def test_init(self): ''' test_init test case to test if the object is initialized properly ''' self.assertEqual(self.new_user.first_name,"Maranatha") self.assertEqual(self.new_user.last_name,"uwase") self.assertEqual(self.new_user.user_name,"Marah-uwase") self.assertEqual(self.new_user.password,"marahuwase@31998") def test_save_user(self): ''' test_save_user test case to test if the user object is saved into the user list ''' self.new_user.save_user() #saving the new user self.assertEqual(len(User.user_list),1) def tearDown(self): ''' tearDown method that does clean up after each test case has run. ''' User.user_list = [] def test_save_multiple_users(self): ''' test_save_multiple_users to check if we can save multiple user objects to our user_list ''' self.new_user.save_user() test_user = User("moza", "mwenge", "mMrah_afr", "marah@31998") test_user.save_user() self.assertEqual(len(User.user_list),2) def test_delete_user(self): ''' test_delete_user to test if we can remove a user from our user list ''' self.new_user.save_user() test_user = User("Lupita", "Nyongo'o", "Lupita", "blackis beautiful") test_user.save_user() self.new_user.delete_user() #Deleting a user object self.assertEqual(len(User.user_list),1) def test_find_by_username(self): ''' test to check if we can find a user by their username and display infformation ''' self.new_user.save_user() test_user = User("Lupita", "Nyongo'o", "Lupita", "blackis beautifull") test_user.save_user() found_user = User.find_by_username("Lupita") self.assertEqual(found_user.user_name,"Lupita") def test_find_by_password(self): ''' test to check if we can find a user by their password ''' self.new_user.save_user() test_user = User("cheki", "ninah", "Gloria", "gloire") test_user.save_user() found_password = User.find_by_userpassword("gloire") self.assertEqual(found_password.password,"gloire") def test_display_user_information(self): ''' test to check if we can be able to display users saved in user_list ''' self.assertEqual(User.display_userInfo(),User.user_list) if __name__ == '__main__': unittest.main()

28.09009

106

0.610969

398

3,118

4.577889

0.248744

0.05708

0.066411

0.041164

0.367179

0.29034

0.235456

0.187706

0.13337

0

0.008119

0.288967

3,118

110

107

28.345455

0.813712

0.259461

0

0.255814

0

0.118022

0

0.232558

1

0.209302

false

0.093023

0.069767

0

0.302326

0

null

0

null

0

1

0

1

0

2

160180fa6ac15c2ea8ee0daf13623e94eaf6e581

143

py

Python

solution-bank/pattern/solution_16.py

anishLearnsToCode/python-training-1

ef5d6b64f888e167faecd1410563173dcc27f319

[ "MIT" ]

3

2021-01-05T18:00:14.000Z

2021-11-28T15:43:04.000Z

solution-bank/pattern/solution_16.py

anishLearnsToCode/python-training-1

ef5d6b64f888e167faecd1410563173dcc27f319

[ "MIT" ]

null

solution-bank/pattern/solution_16.py

anishLearnsToCode/python-training-1

ef5d6b64f888e167faecd1410563173dcc27f319

[ "MIT" ]

null

rows = int(input()) number = 1 for i in range(rows): for j in range(i + 1): print(number, end=' ') number += 1 print()

17.875

30

0.51049

22

143

3.318182

0.545455

0.191781

0

0.03125

0.328671

143

7

31

20.428571

0.729167

0

0.006993

0

1

0

false

0

0.285714

1

0

null

0

1

0

null

0

2

1607e7fa48537da1777d4826e25725a95fc6728a

213

py

Python

Pi2/GPIO sandbox.py

jakehyvonen/BTSPython

9580a04622226a30fea4d5cbd036c7f88a9b732d

[ "MIT" ]

null

Pi2/GPIO sandbox.py

jakehyvonen/BTSPython

9580a04622226a30fea4d5cbd036c7f88a9b732d

[ "MIT" ]

null

Pi2/GPIO sandbox.py

jakehyvonen/BTSPython

9580a04622226a30fea4d5cbd036c7f88a9b732d

[ "MIT" ]

null

import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) GPIO.setup(18,GPIO.OUT) while True: GPIO.output(18,GPIO.HIGH) time.sleep(1) GPIO.output(18,GPIO.LOW) time.sleep(1)

21.3

29

0.71831

37

213

4.135135

0.513514

0.117647

0.156863

0.20915

0

0.043716

0.140845

213

10

30

21.3

0.79235

0

0.2

0

1

0

true

0

0.2

0

0.2

0

null

0

1

0

null

0

1

0

2

160d85b3ec6a83b6bae2c34f841706d000d4e119

481

py

Python

site/tests/test_list.py

JamesHutchison/brython

3beb92bb6125a3e2e96b3e25e8fdac5f73a58871

[ "BSD-3-Clause" ]

2

2018-06-09T15:29:48.000Z

2019-11-13T09:15:08.000Z

site/tests/test_list.py

JamesHutchison/brython

3beb92bb6125a3e2e96b3e25e8fdac5f73a58871

[ "BSD-3-Clause" ]

2

2017-04-14T03:52:41.000Z

2017-04-14T04:02:06.000Z

site/tests/test_list.py

JamesHutchison/brython

3beb92bb6125a3e2e96b3e25e8fdac5f73a58871

[ "BSD-3-Clause" ]

2

2018-02-22T09:48:18.000Z

2020-06-04T17:00:09.000Z

# list examples z=[1,2,3] assert z.__class__ == list assert isinstance(z,list) assert str(z)=="[1, 2, 3]" a=['spam','eggs',100,1234] print(a[:2]+['bacon',2*2]) print(3*a[:3]+['Boo!']) print(a[:]) a[2]=a[2]+23 print(a) a[0:2]=[1,12] print(a) a[0:2]=[] print(a) a[1:1]=['bletch','xyzzy'] print(a) a[:0]=a print(a) a[:]=[] print(a) a.extend('ab') print(a) a.extend([1,2,33]) print(a) # tuple t = (1,8) assert t.__class__ == tuple assert isinstance(t,tuple) assert str(t)=='(1, 8)'

14.147059

27

0.5842

101

481

2.70297

0.287129

0.21978

0.205128

0.087912

0.065934

0

0.093023

0.106029

481

33

28

14.575758

0.54186

0.039501

0

0.285714

0

0.098039

0

0.214286

1

0

false

0

0.392857

0

null

1

0

null

0

2

161f91d8b95c7a757527e07d67a4e5ab0740a5bd

566

py

Python

noticias/migrations/0003_auto_20190507_1727.py

miglesias91/dt

6e00f883ebdb581f87750852f18cf9e3058aae2f

[ "MIT" ]

null

noticias/migrations/0003_auto_20190507_1727.py

miglesias91/dt

6e00f883ebdb581f87750852f18cf9e3058aae2f

[ "MIT" ]

null

noticias/migrations/0003_auto_20190507_1727.py

miglesias91/dt

6e00f883ebdb581f87750852f18cf9e3058aae2f

[ "MIT" ]

null

# Generated by Django 2.2.1 on 2019-05-07 20:27 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('noticias', '0002_remove_nota_comentario'), ] operations = [ migrations.AddField( model_name='nota', name='slug', field=models.SlugField(default='#', max_length=225), ), migrations.AddField( model_name='periodista', name='slug', field=models.SlugField(default='#', max_length=225), ), ]

23.583333

64

0.572438

57

566

5.561404

0.631579

0.113565

0.14511

0.170347

0.29653

0

0.063131

0.300353

566

23

65

24.608696

0.737374

0.079505

0

0.470588

1

0

0.11368

0.052023

0

1

0

false

0

0.058824

0

0.235294

0

null

0

1

0

1

0

null

0

2

1624dfaddc8d62bba59be7995c9ec30250e26ba8

268

py

Python

users/serializers.py

radwanov/EEnergy

c3a690c23d27efbe28faba07bc43441d0c0a0903

[ "MIT" ]

2

2022-03-14T15:42:12.000Z

2022-03-27T13:47:15.000Z

users/serializers.py

ahmedelmaghallawy/EEnergy

c3a690c23d27efbe28faba07bc43441d0c0a0903

[ "MIT" ]

4

2021-03-30T13:31:44.000Z

2021-09-22T18:55:23.000Z

users/serializers.py

ahmedelmaghallawy/EEnergy

c3a690c23d27efbe28faba07bc43441d0c0a0903

[ "MIT" ]

null

from rest_framework import serializers from django.contrib.auth import get_user_model class UserSerializer(serializers.ModelSerializer): """serialize user instance""" class Meta: model = get_user_model() fields = ['id', 'username', 'email']

24.363636

50

0.712687

30

268

6.2

0.7

0.075269

0.129032

0

0.186567

268

10

51

26.8

0.853211

0.085821

0

0.062762

0

1

0

false

0

0.333333

0

0.666667

0

null

0

null

0

1

0

1

0

2

16359a81bfbc505f5296b8d20108473ca48808e9

2,042

py

Python

src/apps/climsoft/schemas/instrument_schema.py

opencdms/opencdms-api

f1ed6e1d883025a8658746fe457e0c975718c7be

[ "MIT" ]

3

2020-12-01T09:25:18.000Z

2022-02-14T23:57:34.000Z

src/apps/climsoft/schemas/instrument_schema.py

opencdms/opencdms-api

f1ed6e1d883025a8658746fe457e0c975718c7be

[ "MIT" ]

11

2021-12-05T10:09:00.000Z

2022-02-17T08:11:22.000Z

src/apps/climsoft/schemas/instrument_schema.py

opencdms/opencdms-api

f1ed6e1d883025a8658746fe457e0c975718c7be

[ "MIT" ]

2

2021-03-10T19:03:05.000Z

2021-12-11T08:36:04.000Z

from typing import List from pydantic import BaseModel, constr from apps.climsoft.schemas import station_schema from apps.climsoft.schemas import Response field_names = { "instrumentName": "instrument_name", "instrumentId": "instrument_id", "serialNumber": "serial_number", "instrumentUncertainty": "instrument_uncertainty", "installationDatetime": "installation_datetime", "deinstallationDatetime": "uninstallation_datetime", "instrumentPicture": "instrument_picture", "installedAt": "installed_at" } class CreateInstrument(BaseModel): instrumentName: constr(max_length=255) instrumentId: constr(max_length=255) serialNumber: constr(max_length=255) abbreviation: constr(max_length=255) model: constr(max_length=255) manufacturer: constr(max_length=255) instrumentUncertainty: float installationDatetime: constr(max_length=50) deinstallationDatetime: constr(max_length=50) height: constr(max_length=255) instrumentPicture: constr(max_length=255) installedAt: constr(max_length=255) class Config: fields = field_names class UpdateInstrument(BaseModel): instrumentName: constr(max_length=255) serialNumber: constr(max_length=255) abbreviation: constr(max_length=255) model: constr(max_length=255) manufacturer: constr(max_length=255) instrumentUncertainty: float installationDatetime: constr(max_length=50) deinstallationDatetime: constr(max_length=50) height: constr(max_length=255) instrumentPicture: constr(max_length=255) installedAt: constr(max_length=255) class Config: fields = field_names class Instrument(CreateInstrument): class Config: fields = field_names orm_mode = True allow_population_by_field_name = True class InstrumentResponse(Response): result: List[Instrument] class InstrumentWithStation(Instrument): station: station_schema.Station class InstrumentWithStationResponse(Response): result: List[InstrumentWithStation]

28.361111

56

0.754163

209

2,042

7.177033

0.282297

0.126

0.21

0.204

0.57

0.513333

0.470667

0

0.034402

0.160137

2,042

71

57

28.760563

0.840233

0

0.518519

0

0.130328

0.053405

0

1

0

false

0

0.074074

0

0.722222

0

null

0

1

0

null

0

2

163b17e6e3928cdf7ab459de812eee18a84c688a

526

py

Python

ch3_Processing_Raw_Text/regexp_tokenize.py

MingjunZhou/nltk_book

62eef0f5a1855e3d6c523a8d58e8725f459d2fbd

[ "BSD-3-Clause" ]

1

2015-01-06T11:37:14.000Z

ch3_Processing_Raw_Text/regexp_tokenize.py

MingjunZhou/nltk_book

62eef0f5a1855e3d6c523a8d58e8725f459d2fbd

[ "BSD-3-Clause" ]

null

ch3_Processing_Raw_Text/regexp_tokenize.py

MingjunZhou/nltk_book

62eef0f5a1855e3d6c523a8d58e8725f459d2fbd

[ "BSD-3-Clause" ]

null

import nltk text = 'That U.S.A. poster-print costs $12.40...' pattern = r'''(?x) # set flag to allow verbose regexps ([A-Z]\.)+ # abbreviations, e.g. U.S.A. | \w+(-\w+)* # words with optional internal hyphens | \$?\d+(\.\d+)?%? # currently and percentages, e.g. $12.40, 82% | \.\.\. # ellipsis | [][.,;"'?():-_`] # these are separate tokens ''' print nltk.regexp_tokenize(text, pattern)

40.461538

81

0.439163

57

526

4.017544

0.754386

0.017467

0.026201

0

0.030211

0.370722

526

12

82

43.833333

0.661631

0

0.1

0.840304

0

null

0

0.1

null

0.2

0

null

0

1

0

null

0

1

0

2

165aea16cee92f41a58d74bcedca5180d887ff9e

4,660

py

Python

tests/core/actions/test_loops.py

fintzd/rasa

6359be5509c7d87cd29c2ab5149bc45e843fea85

[ "Apache-2.0" ]

9,701

2019-04-16T15:46:27.000Z

2022-03-31T11:52:18.000Z

tests/core/actions/test_loops.py

fintzd/rasa

6359be5509c7d87cd29c2ab5149bc45e843fea85

[ "Apache-2.0" ]

6,420

2019-04-16T15:58:22.000Z

2022-03-31T17:54:35.000Z

tests/core/actions/test_loops.py

fintzd/rasa

6359be5509c7d87cd29c2ab5149bc45e843fea85

[ "Apache-2.0" ]

3,063

2019-04-16T15:23:52.000Z

2022-03-31T00:01:12.000Z

from typing import List, Any, Text import pytest from rasa.core.actions.loops import LoopAction from rasa.core.channels import CollectingOutputChannel from rasa.shared.core.domain import Domain from rasa.shared.core.events import ( Event, ActionExecutionRejected, ActionExecuted, ActiveLoop, SlotSet, ) from rasa.core.nlg import TemplatedNaturalLanguageGenerator from rasa.shared.core.trackers import DialogueStateTracker async def test_whole_loop(): expected_activation_events = [ ActionExecutionRejected("tada"), ActionExecuted("test"), ] expected_do_events = [ActionExecuted("do")] expected_deactivation_events = [SlotSet("deactivated")] form_name = "my form" class MyLoop(LoopAction): def name(self) -> Text: return form_name async def activate(self, *args: Any) -> List[Event]: return expected_activation_events async def do(self, *args: Any) -> List[Event]: events_so_far = args[-1] assert events_so_far == [ActiveLoop(form_name), *expected_activation_events] return expected_do_events async def deactivate(self, *args) -> List[Event]: events_so_far = args[-1] assert events_so_far == [ ActiveLoop(form_name), *expected_activation_events, *expected_do_events, ActiveLoop(None), ] return expected_deactivation_events async def is_done(self, *args) -> bool: events_so_far = args[-1] return events_so_far == [ ActiveLoop(form_name), *expected_activation_events, *expected_do_events, ] tracker = DialogueStateTracker.from_events("some sender", []) domain = Domain.empty() action = MyLoop() actual = await action.run( CollectingOutputChannel(), TemplatedNaturalLanguageGenerator(domain.responses), tracker, domain, ) assert actual == [ ActiveLoop(form_name), *expected_activation_events, *expected_do_events, ActiveLoop(None), *expected_deactivation_events, ] async def test_loop_without_deactivate(): expected_activation_events = [ ActionExecutionRejected("tada"), ActionExecuted("test"), ] expected_do_events = [ActionExecuted("do")] form_name = "my form" class MyLoop(LoopAction): def name(self) -> Text: return form_name async def activate(self, *args: Any) -> List[Event]: return expected_activation_events async def do(self, *args: Any) -> List[Event]: return expected_do_events async def deactivate(self, *args) -> List[Event]: raise ValueError("this shouldn't be called") async def is_done(self, *args) -> bool: return False tracker = DialogueStateTracker.from_events("some sender", []) domain = Domain.empty() action = MyLoop() actual = await action.run( CollectingOutputChannel(), TemplatedNaturalLanguageGenerator(domain.responses), tracker, domain, ) assert actual == [ ActiveLoop(form_name), *expected_activation_events, *expected_do_events, ] async def test_loop_without_activate_and_without_deactivate(): expected_do_events = [ActionExecuted("do")] form_name = "my form" class MyLoop(LoopAction): def name(self) -> Text: return form_name async def activate(self, *args: Any) -> List[Event]: raise ValueError("this shouldn't be called") async def do(self, *args: Any) -> List[Event]: return expected_do_events async def deactivate(self, *args) -> List[Event]: return [SlotSet("deactivated")] async def is_activated(self, *args: Any) -> bool: return True async def is_done(self, *args) -> bool: return False tracker = DialogueStateTracker.from_events("some sender", []) domain = Domain.empty() action = MyLoop() actual = await action.run( CollectingOutputChannel(), TemplatedNaturalLanguageGenerator(domain.responses), tracker, domain, ) assert actual == [*expected_do_events] async def test_raise_not_implemented_error(): loop = LoopAction() with pytest.raises(NotImplementedError): await loop.do(None, None, None, None, []) with pytest.raises(NotImplementedError): await loop.is_done(None, None, None, None, [])

27.738095

88

0.627039

473

4,660

5.983087

0.173362

0.048057

0.062191

0.031802

0.780919

0.759011

0.699647

0.690459

0

0.00089

0.276609

4,660

167

89

27.904192

0.838624

0

0.685039

0

0.03133

0

0.03937

1

0.023622

false

0

0.062992

0.023622

0.220472

0

null

0

1

0

1

0

null

0

2

1670f0992ad528fa54171da132322e8c1a3fb07a

2,147

py

Python

2018/wip/makemap.py

Deph0/adventofcode

79433579954d177d886cfb550b3e03d2e3ca21dc

[ "MIT" ]

null

2018/wip/makemap.py

Deph0/adventofcode

79433579954d177d886cfb550b3e03d2e3ca21dc

[ "MIT" ]

1

2021-05-26T20:36:27.000Z

2021-05-26T21:42:06.000Z

2018/wip/makemap.py

Deph0/adventofcode

79433579954d177d886cfb550b3e03d2e3ca21dc

[ "MIT" ]

null

# AdventOfCode 2018 day 3 pt 1 # https://adventofcode.com/2018/day/3 #r = [1,1,4,4] # x,y,w,h r1 = [1,3,4,4] r2 = [3,1,4,4] r3 = [5,5,2,2] r = [r1,r2,r3] size = 8 #map = [['.' for i in range(size)]]*size # copies the reference to each row map = [x[:] for x in [['.'] * size] * size] #map = [['.', '.', '.', '.', '.', '.', '.', '.'], ['.', 'o', 'o', 'o', 'o', '.', '.', '.'], ['.', 'o', 'o', 'o', 'o', '.', '.', '.'], ['.', 'o', 'o', 'o', 'o', '.', '.', '.'], ['.', 'o', 'o', 'o', 'o', '.', '.', '.'], ['.', '.', '.', '.', '.', '.', '.', '.'], ['.', '.', '.', '.', '.', '.', '.', '.'], ['.', '.', '.', '.', '.', '.', '.', '.']] #for x in map: print x # this method only works if x or y is smaller than width or height def nope_fillrect(): for i in range(len(r)): rx,ry,rw,rh = r[i] for y in range(ry,ry+rh+1): # x..width for x in range(rx,rx+rw+1): # y..height if map[y][x] != '.': map[y][x] = '#' # colision else: map[y][x] = str(i+1) #print i,'xy',x,y #print i,rx,ry,rw,rh show() def fillrect(): yi = 0 for y in map: xi = 0 for x in y: #map[yi][xi] = '' fillCord(xi,yi) print x, xi, yi xi = xi + 1 yi = yi + 1 show() def fillCord(x,y): if x in r map[y][x] = str(1) def show(): for x in map: print x ########### ## Random test ########### #r = [1,1,4,4] # x,y,w,h r1 = [1,3,4,4] r2 = [3,1,4,4] r3 = [5,5,2,2] r = [r1,r2,r3] size = 8 #map = [['.' for i in range(size)]]*size # copies the reference to each row map = [x[:] for x in [['.'] * size] * size] #map = [['.', '.', '.', '.', '.', '.', '.', '.'], ['.', 'o', 'o', 'o', 'o', '.', '.', '.'], ['.', 'o', 'o', 'o', 'o', '.', '.', '.'], ['.', 'o', 'o', 'o', 'o', '.', '.', '.'], ['.', 'o', 'o', 'o', 'o', '.', '.', '.'], ['.', '.', '.', '.', '.', '.', '.', '.'], ['.', '.', '.', '.', '.', '.', '.', '.'], ['.', '.', '.', '.', '.', '.', '.', '.']] #for x in map: print x for i in range(len(r)): rx,ry,rw,rh = r[i] for y in range(ry,rh+1): for x in range(rx,rw+1): if map[y][x] != '.': map[y][x] = '#' # colision else: map[y][x] = str(i+1) print i,'xy',x,y #print i,rx,ry,rw,rh for x in map: print x

25.258824

343

0.372613

346

2,147

2.309249

0.184971

0.075094

0.105131

0.130163

0.660826

0.628285

0.590738

0

0.041063

0.228691

2,147

84

344

25.559524

0.441425

0.542152

0

0.595745

0

0.008556

0

null

0

null

0.085106

0

null

0

1

0

null

0

1

0

2

168607652349f1ae2e6a5dbff382bd0a9c85e8e0

504

py

Python

tests/unit/test_get_lending_pool.py

ZeroEkkusu/aave_brownie_py

a237ca2534a891a0ef4934b70d94e3b62a93cadc

[ "MIT" ]

1

2022-03-02T06:05:00.000Z

tests/unit/test_get_lending_pool.py

ZeroEkkusu/aave_brownie_py

a237ca2534a891a0ef4934b70d94e3b62a93cadc

[ "MIT" ]

1

2022-01-26T10:42:32.000Z

2022-01-26T11:04:43.000Z

tests/unit/test_get_lending_pool.py

ZeroEkkusu/aave_brownie_py

a237ca2534a891a0ef4934b70d94e3b62a93cadc

[ "MIT" ]

null

from brownie import interface, network, config def test_get_lending_pool(test_only_locally): # Arrange/Act lending_pool_addresses_provider = interface.ILendingPoolAddressesProvider( config["networks"][network.show_active()]["lending_pool_addresses_provider"]) lending_pool_address = lending_pool_addresses_provider.getLendingPool() lending_pool = interface.ILendingPool(lending_pool_address) # Assert lending_pool.address == "0x7d2768dE32b0b80b7a3454c06BdAc94A69DDc7A9"

42

85

0.80754

51

504

7.568627

0.509804

0.227979

0.15544

0.217617

0

0.053933

0.117063

504

11

86

45.818182

0.813483

0.035714

0

0.167702

0.151139

0

0.086957

0

1

0.142857

false

0

0.142857

0

0.285714

0

null

1

0

1

0

null

0

2

168c067e0f4da6002751ff9b182a14b19565b33f

3,173

py

Python

src/process/domain/integration/services/DataIntegrationConnectionQueueService.py

jedicontributors/pythondataintegrator

3e877b367ab9b20185476128ec053db41087879f

[ "MIT" ]

null

src/process/domain/integration/services/DataIntegrationConnectionQueueService.py

jedicontributors/pythondataintegrator

3e877b367ab9b20185476128ec053db41087879f

[ "MIT" ]

null

src/process/domain/integration/services/DataIntegrationConnectionQueueService.py

jedicontributors/pythondataintegrator

3e877b367ab9b20185476128ec053db41087879f

[ "MIT" ]

null

from injector import inject from infrastructor.data.DatabaseSessionManager import DatabaseSessionManager from infrastructor.data.Repository import Repository from infrastructor.dependency.scopes import IScoped from models.dao.integration import DataIntegrationConnectionQueue from models.dao.integration.DataIntegrationConnection import DataIntegrationConnection from models.viewmodels.integration.CreateDataIntegrationConnectionQueueModel import \ CreateDataIntegrationConnectionQueueModel class DataIntegrationConnectionQueueService(IScoped): @inject def __init__(self, database_session_manager: DatabaseSessionManager, ): self.database_session_manager = database_session_manager self.data_integration_connection_queue_repository: Repository[DataIntegrationConnectionQueue] = \ Repository[DataIntegrationConnectionQueue](database_session_manager) ####################################################################################### def get_by_id(self, id: int) -> DataIntegrationConnectionQueue: entity = self.data_integration_connection_queue_repository.first(IsDeleted=0, Id=id, ) return entity def get_by_data_integration_connection_id(self, data_integration_connection_id: int) -> DataIntegrationConnectionQueue: entity = self.data_integration_connection_queue_repository.first(IsDeleted=0, DataIntegrationConnectionId=data_integration_connection_id, ) return entity def insert(self, data_integration_connection: DataIntegrationConnection, data: CreateDataIntegrationConnectionQueueModel) -> DataIntegrationConnectionQueue: data_integration_connection_queue = DataIntegrationConnectionQueue(TopicName=data.TopicName, DataIntegrationConnection=data_integration_connection) self.data_integration_connection_queue_repository.insert(data_integration_connection_queue) return data_integration_connection_queue def update(self, data_integration_connection: DataIntegrationConnection, data: CreateDataIntegrationConnectionQueueModel) -> DataIntegrationConnectionQueue: data_integration_connection_queue = self.get_by_data_integration_connection_id( data_integration_connection_id=data_integration_connection.Id, ) data_integration_connection_queue.DataIntegrationConnection = data_integration_connection data_integration_connection_queue.TopicName = data.TopicName return data_integration_connection_queue def delete(self, id: int): entity = self.get_by_id(id=id) if entity is not None: self.data_integration_connection_queue_repository.delete_by_id(id)

56.660714

132

0.669083

240

3,173

8.479167

0.191667

0.162162

0.27027

0.176904

0.42801

0.306634

0

0.000857

0.264103

3,173

55

133

57.690909

0.870664

0

0.212766

0

1

0.12766

false

0

0.148936

0

0.382979

0

null

0

1

0

null

0

2

16a4359618521739ad22a39abac86f02f7d06b82

346

py

Python

streamduo/api/health.py

streamduo-inc/streamduo-python-sdk

740e37c29656861522be718c216f99cba8cad70c

[ "MIT" ]

1

2022-02-02T15:30:10.000Z

streamduo/api/health.py

streamduo-inc/streamduo-python-sdk

740e37c29656861522be718c216f99cba8cad70c

[ "MIT" ]

null

streamduo/api/health.py

streamduo-inc/streamduo-python-sdk

740e37c29656861522be718c216f99cba8cad70c

[ "MIT" ]

null

class HealthController: """ Manages interactions with the /health endpoints """ def __init__(self, client): self.client = client def check_health(self): """ GET request ot the /health endpoint :return: Requests Response Object """ return self.client.call_api('GET', "/health")

24.714286

53

0.601156

36

346

5.611111

0.638889

0.148515

0

0.294798

346

13

54

26.615385

0.827869

0.33815

0

0.054945

0

1

0.4

false

0

0.8

0

null

0

null

0

1

0

1

0

2

16bc02c67abb460c961171cc1c638c4aa3eff90b

3,984

py

Python

src/pwinput/__init__.py

MrDebugger/pwinput

2ec28c5fbde9b67d255e1eaeef0a9187eb709edf

[ "MIT" ]

null

src/pwinput/__init__.py

MrDebugger/pwinput

2ec28c5fbde9b67d255e1eaeef0a9187eb709edf

[ "MIT" ]

null

src/pwinput/__init__.py

MrDebugger/pwinput

2ec28c5fbde9b67d255e1eaeef0a9187eb709edf

[ "MIT" ]

null

"""PWInput By Al Sweigart al@inventwithpython.com A cross-platform Python module that displays **** for password input. Works on Windows, unlike getpass. Formerly called stdiomask.""" __version__ = '1.0.2' # type: str import sys """Notes about making this code backwards-compatible with Python 2: sys.stdout.write() can only write unicode strings, not Python 2 str strings. I create STR_TYPE to use for isinstance() checks. Also, the u prefix for unicode strings causes syntax errors on Python 3.1 and 3.2, so instead I pass those strings to STR_TYPE, which is set to unicode() on Python 2, which effectively does the same thing as the u prefix. """ STR_TYPE = str # type: type RUNNING_PYTHON_2 = sys.version_info[0] == 2 # type: bool if RUNNING_PYTHON_2: STR_TYPE = unicode # Ignore the pyflakes warning on this line. try: from typing import List except ImportError: pass # There is no typing module on Python 2, but that's fine because we use the comment-style of type hints. if sys.platform == 'win32': # For some reason, mypy reports that msvcrt doesn't have getch, ignore this warning: from msvcrt import getch # type: callable else: # macOS and Linux import tty, termios def getch(): # type: () -> str fd = sys.stdin.fileno() old_settings = termios.tcgetattr(fd) try: tty.setraw(sys.stdin.fileno()) ch = sys.stdin.read(1) finally: termios.tcsetattr(fd, termios.TCSADRAIN, old_settings) return ch def pwinput(prompt='Password: ', mask='*'): # type: (str, str) -> str if RUNNING_PYTHON_2: # On Python 2, convert `prompt` and `mask` from str to unicode because sys.stdout.write requires unicode. if isinstance(prompt, str): # Mypy in Python 3 mode (the default mode) will complain about the following line: prompt = prompt.decode('utf-8') # type: ignore if isinstance(mask, str): # Mypy in Python 3 mode (the default mode) will complain about the following line: mask = mask.decode('utf-8') # type: ignore if not isinstance(prompt, STR_TYPE): raise TypeError('prompt argument must be a str, not %s' % (type(prompt).__name__)) if not isinstance(mask, STR_TYPE): raise TypeError('mask argument must be a zero- or one-character str, not %s' % (type(prompt).__name__)) if len(mask) > 1: raise ValueError('mask argument must be a zero- or one-character str') if mask == '' or sys.stdin is not sys.__stdin__: # Fall back on getpass if a mask is not needed. import getpass as gp return gp.getpass(prompt) enteredPassword = [] # type: List[str] sys.stdout.write(prompt) sys.stdout.flush() while True: key = ord(getch()) if key == 13: # Enter key pressed. if RUNNING_PYTHON_2: sys.stdout.write(STR_TYPE('\n')) else: sys.stdout.write('\n') return ''.join(enteredPassword) elif key in (8, 127): # Backspace/Del key erases previous output. if len(enteredPassword) > 0: # Erases previous character. if RUNNING_PYTHON_2: sys.stdout.write(STR_TYPE('\b \b')) # \b doesn't erase the character, it just moves the cursor back. else: sys.stdout.write('\b \b') # \b doesn't erase the character, it just moves the cursor back. sys.stdout.flush() enteredPassword = enteredPassword[:-1] elif 0 <= key <= 31: # Do nothing for unprintable characters. # TODO: Handle Esc, F1-F12, arrow keys, home, end, insert, del, pgup, pgdn pass else: # Key is part of the password; display the mask character. char = chr(key) sys.stdout.write(mask) sys.stdout.flush() enteredPassword.append(char)

39.84

133

0.625

549

3,984

4.468124

0.371585

0.040359

0.045658

0.026091

0.202201

0.19364

0.175703

0.158174

0.128007

0

0.014276

0.279116

3,984

99

134

40.242424

0.839833

0.313002

0

0.234375

0

0.083078

0

0.010101

0

1

0.03125

false

0.15625

0.09375

0

0.171875

0

null

0

null

0

1

0

1

0

2

16d2e529be1a7776f054de0133178cada0985e7b

1,342

py

Python

dpm/distributions/generator.py

nextBillyonair/DPM

840ffaafe15c208b200b74094ffa8fe493b4c975

[ "MIT" ]

1

2021-07-20T14:02:55.000Z

dpm/distributions/generator.py

nextBillyonair/DPM

840ffaafe15c208b200b74094ffa8fe493b4c975

[ "MIT" ]

null

dpm/distributions/generator.py

nextBillyonair/DPM

840ffaafe15c208b200b74094ffa8fe493b4c975

[ "MIT" ]

null

import torch from torch import nn from torch import distributions as dists from torch.nn import Module, Parameter, ModuleList from torch.nn.functional import softplus import numpy as np import math from .distribution import Distribution from .normal import Normal from .conditional_model import ConditionalModel from .dirac_delta import DiracDelta class Generator(Distribution): def __init__(self, latent_distribution=None, input_dim=8, hidden_sizes=[24, 24], activation="LeakyReLU", output_dim=1): super().__init__() self.latent_distribution = latent_distribution if latent_distribution is None: self.latent_distribution = Normal(torch.zeros(input_dim), torch.eye(input_dim), learnable=False) self.conditional_model = ConditionalModel(input_dim, hidden_sizes, activation, [output_dim], [None], DiracDelta) self.n_dims = output_dim def log_prob(self, value): raise NotImplementedError("Generator log_prob not implemented") def sample(self, batch_size): latent_samples = self.latent_distribution.sample(batch_size) return self.conditional_model.sample(latent_samples) def get_parameters(self): return {'latent':self.latent_distribution.get_parameters()}

38.342857

108

0.71237

157

1,342

5.853503

0.401274

0.137106

0.119695

0.056583

0

0.005687

0.21386

1,342

34

109

39.470588

0.865403

0

0.036513

0

1

0.137931

false

0

0.37931

0.034483

0.62069

0

null

0

null

0

1

0

1

0

2

16de93fe16916392547641a1dcaf11b095f41e1b

775

py

Python

steps/ShoutSteps.py

cucumber-ltd/shouty-python

cb6081ea75f1a7cb1e49c134a47136a05d55789b

[ "MIT" ]

null

steps/ShoutSteps.py

cucumber-ltd/shouty-python

cb6081ea75f1a7cb1e49c134a47136a05d55789b

[ "MIT" ]

null

steps/ShoutSteps.py

cucumber-ltd/shouty-python

cb6081ea75f1a7cb1e49c134a47136a05d55789b

[ "MIT" ]

1

2021-07-15T08:27:46.000Z

from behave import * from Coordinate import Coordinate from Shouty import Shouty # use_step_matcher("re") SHOUTY = Shouty() ARBITRARY_MESSAGE = "Hello, world" @given('Lucy is at {xCoord:d}, {yCoord:d}') def step_impl(context, xCoord, yCoord): SHOUTY.set_location("Lucy", Coordinate(xCoord, yCoord)) @step('Sean is at {xCoord:d}, {yCoord:d}') def step_impl(context, xCoord, yCoord): SHOUTY.set_location("Sean", Coordinate(xCoord, yCoord)) @when('Sean shouts') def step_impl(context): SHOUTY.shout("Sean", ARBITRARY_MESSAGE) @then('Lucy should hear Sean') def step_impl(context): assert(1 == len(SHOUTY.get_shouts_heard_by("Lucy"))) @then('Lucy should hear nothing') def step_impl(context): assert(0 == len(SHOUTY.get_shouts_heard_by("Lucy")))

22.142857

59

0.717419

111

775

4.855856

0.36036

0.064935

0.102041

0.166976

0.437848

0.348794

0.241187

0

0.002972

0.131613

775

34

60

22.794118

0.79792

0.028387

0

0.25

0

0.20506

0

0.1

1

0.25

false

0

0.15

0

0.4

0

null

0

1

0

null

0

1

0

2

16e34ce2c90e292ff9a71ce49fe01c8a2302c7d6

572

py

Python

tests/models/test_inv_resourcegroup.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

84

2017-10-22T11:01:39.000Z

2022-02-27T03:43:48.000Z

tests/models/test_inv_resourcegroup.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

22

2017-12-11T07:21:56.000Z

2021-09-23T02:53:50.000Z

tests/models/test_inv_resourcegroup.py

prorevizor/noc

37e44b8afc64318b10699c06a1138eee9e7d6a4e

[ "BSD-3-Clause" ]

23

2017-12-06T06:59:52.000Z

2022-02-24T00:02:25.000Z

# ---------------------------------------------------------------------- # inv.ResourceGroup tests # ---------------------------------------------------------------------- # Copyright (C) 2007-2018 The NOC Project # See LICENSE for details # ---------------------------------------------------------------------- # NOC modules from noc.inv.models.resourcegroup import ResourceGroup def test_clean_leagacy_id(): left = ResourceGroup._get_collection().find_one({"_legacy_id": {"$exists": True}}) assert left is None, "_legacy_id field has been left by migration"

38.133333

86

0.466783

50

572

5.14

0.78

0.062257

0

0.015534

0.09965

572

14

87

40.857143

0.483495

0.545455

0

0.238095

0

0.25

1

0.25

false

0

0.25

0

0.5

0

null

0

1

0

null

0

1

0

2

16eb2a1ab98fa4018a67799fd70122be35a4a06c

19,381

py

Python

act/thermo.py

RPGroup-PBoC/mwc_activation

6ef3f02a53ecd80877082006ecc4b8fe4204c1d6

[ "MIT" ]

null

act/thermo.py

RPGroup-PBoC/mwc_activation

6ef3f02a53ecd80877082006ecc4b8fe4204c1d6

[ "MIT" ]

null

act/thermo.py

RPGroup-PBoC/mwc_activation

6ef3f02a53ecd80877082006ecc4b8fe4204c1d6

[ "MIT" ]

null

""" A module for computing properties of various transcriptional regulatory architectures. """ import numpy as np import scipy.optimize class MWC(object): R""" A base class for the Monod - Wyman - Changeux model for allostery. """ def __init__(self, effector_conc=None, ka=None, ki=None, ep_ai=None, n_sites=2, log_transform=False): """ Parameters ---------- ep_ai : int, float, or array Difference in energy between the active and inactive allosteric states of the repressor. This should be in units of k_BT. ka, ki : ints, floats, or arrays The effector dissociation constants for the acitve and inactive state of the repressor. log_transform: bool If True, the provided ka and ki are the log transform and will be exponentiated in the calculation of pact. effector_conc: int, float, or array Concentration of the allosteric effector molecule. n_sites : int, float or array Number of cooperative effector binding sites on the repressor. Default value is 2. """ kwargs = dict(effector_conc=effector_conc, ka=ka, ki=ki, ep_ai=ep_ai, n_sites=n_sites) # Ensure values are provided. for k in kwargs.keys(): if type(kwargs[k]) is None: raise RuntimeError( "{0} is NoneType and must be defined.".format(k)) # Assign the variables. self.c = effector_conc self.ep_ai = ep_ai self.n = n_sites if log_transform is True: self.ka = np.exp(ka) self.ki = np.exp(ki) else: self.ka = ka self.ki = ki # Ensure ka and ki are not zero. if type(ka) is float or int: _ka = np.array([ka]) if type(ki) is float or int: _ki = np.array([ki]) if (_ka == 0).any() or (_ki == 0).any(): raise ValueError('ka and/or ki cannot be zero.') # Ensure positivity of values. positive_kwargs = dict(effector_conc=self.c, ka=self.ka, ki=self.ki, n_sites=self.n) for k in positive_kwargs.keys(): val = positive_kwargs[k] if type(val) is float or int: val = np.array([val]) if (val < 0).any(): raise RuntimeError('{0} must be positive.'.format(k)) def pact(self): R""" Compute the probability of the active state at each provided parameter value Returns ------- p_active : float or nd-array The probability of the active state evaluated at each value of effector_conc, ka, ki, and n_sites """ c = self.c n = self.n ka = self.ka ki = self.ki numer = (1 + c / ka)**n denom = numer + np.exp(-self.ep_ai) * (1 + c / ki)**n return numer / denom def saturation(self): R""" Computes the probability of the active state in the limit of saturating effector concentration. Returns ------- saturation : float or nd-array Saturation value at each provided value of ka, ki, ep_ai, and n_sites. """ ka = self.ka ki = self.ki ep_ai = self.ep_ai n = self.n return (1 + np.exp(-ep_ai) * (ka / ki)**n)**-1 def leakiness(self): R""" COmputes the probability of the active state in the limit of zero effector. """ return (1 + np.exp(-self.ep_ai))**-1 class SimpleRepression(object): R""" A base class for simple repression with an allosteric repressor. """ def __init__(self, R, ep_r, n_ns=4.6e6, **kwargs): R""" Instantiate the SimpleRepression object. Parameters ---------- R : int, float, or array Number of repressors in the system (per cell). ep_r : int, float or array Repressor-DNA binding energy in units of k_BT. n_ns : int or float Number of nonspecific DNA binding sites for the repressor molecule. Default value is the approximate length of the *E. coli* genome, 4.6e6 bp. **kwargs : dict or tuple kwargs for allosteric transcription factors see `MWC` documentation for more information. """ # Define the variables. self.R = R self.ep_r = ep_r self.n_ns = n_ns # Ensure values make sense. positive_args = dict(R=R, n_ns=n_ns) for p in positive_args.keys(): val = positive_args[p] if type(val) is float or int: val = np.array([val]) if (val < 0).any(): raise RuntimeError("{0} must be positive.".format(p)) # Determine if transcription factor is allosteric if kwargs: self.allo = True self.mwc = MWC(**kwargs) else: self.allo = False def fold_change(self, wpa=True, num_pol=None, ep_pol=None, pact=False): R""" fold - change for simple repression. Parameters ---------- wpa: bool If True, the weak promoter approximation is made and the state of polymerase being bound to the promoter is ignored. num_pol: int, float, or array Number of RNA Polymerase units per cell. This is required if `wpa == True`. ep_pol: int, float, or array RNAP - DNA binding energy in units of k_BT. This required if `wpa == True`. pact : float or array The probability of having an active repressor. If None is provided, the probability will be computed given effector_conc. Returns ------- fold_change: float or nd - array Fold - change in gene expression evaluated at each value of c. """ if self.allo == False: pact = 1 else: if type(pact) == bool: pact = self.mwc.pact() # Compute repression and return inverse. repression = (1 + pact * (self.R / self.n_ns) * np.exp(-self.ep_r)) return repression**-1 def saturation(self, wpa=True, num_pol=None, ep_pol=0): R""" Computes the fold - change in gene expression under saturating concentrations of effector. This function is only defined for allosteric repressors. Parameters ---------- wpa : bool If True, the weak promoter approximation will be applied. num_pol : int, float, or array The number of RNA Polymerase molecules per cell. This is required if `wpa == False`. ep_pol : int, float, or array The RNAP-DNA binding energy in units of k_BT. This is required if `wpa == False` Returns ------- saturation: float or array The leakiness of the simple repression architecture. """ if self.allo is False: raise RuntimeError( """Saturation is only defined for allosteric molecules. (`allosteric = True`)""") # Compute the pact in limit of c -> inf. pact = self.mwc.saturation() return self.fold_change(wpa, num_pol, ep_pol, pact) def leakiness(self, wpa=True, num_pol=None, ep_pol=0): R""" Computes the fold-change in gene expression under a zero concentration of effector. Parameters ---------- wpa : bool If True, the weak promoter approximation will be applied. num_pol : int, float, or array The number of RNA Polymerase molecules per cell. This is required if `wpa == False`. ep_pol : int, float, or array The RNAP-DNA binding energy in units of k_BT. This is required if `wpa == False` Returns ------- leakiness: float or array The leakiness of the simple repression architecture. """ # Compute the pact in the limit of c -> 0. if self.allo is True: pact = self.mwc.leakiness() else: pact = 1 return self.fold_change(wpa, num_pol, ep_pol, pact) def dynamic_range(self, wpa=True, num_pol=None, ep_pol=0): R""" The dynamic range of the fold - change in response to an effector molecule. This property is only defined for allosteric molecules. Parameters ---------- wpa : bool If True, the weak promoter approximation will be applied. num_pol : int, float, or array The number of RNA Polymerase molecules per cell. This is required if `wpa == False`. ep_pol : int, float, or array The RNAP-DNA binding energy in units of k_BT. This is required if `wpa == False` Returns ------- dynamic_range: float or array The leakiness of the simple repression architecture. """ # Compute the saturation and leakiness. sat = self.saturation(wpa, num_pol, ep_pol) leak = self.leakiness(wpa, num_pol, ep_pol) return sat - leak def ec50(self): """Computes the EC50 for allosteric architectures""" if self.allo is False: raise RuntimeError( 'EC50 defined only for allosteric architectures.') # Determine the user provided inputs. R = self.R n_ns = self.n_ns ep_r = self.ep_r ep_ai = self.mwc.ep_ai ka = self.mwc.ka ki = self.mwc.ki n_sites = self.mwc.n # Break it into pieces repression = 1 + (R / n_ns) * np.exp(-ep_r) numer = repression + (ka/ki)**n_sites * \ (2 * np.exp(-ep_ai) + repression) denom = 2 * repression + \ np.exp(-ep_ai) + (ka / ki)**n_sites * np.exp(-ep_ai) # Assemble the pieces of the ec50 calculation. ec50_numer = (ka / ki) - 1 ec50_denom = (ka / ki) - (numer / denom)**(1 / n_sites) return ka * ((ec50_numer / ec50_denom) - 1) def effective_hill(self): """Computes the effective hill coefficient of an allosteric repressor.""" if self.allo == False: return RuntimeError("Effective hill only defined for allosteric architectures") # Define the parameters c = self.ec50() ka = self.mwc.ka ki = self.mwc.ki ep_ai = self.mwc.ep_ai n_sites = self.mwc.n R = self.R ep_r = self.ep_r n_ns = self.n_ns # Compute the fold-change pact = MWC(c, ka, ki, ep_ai, n_sites).pact() fc = (1 + pact * (R / n_ns) * np.exp(-ep_r))**-1 leakiness = self.leakiness() expanded_ka = (1 + c / ka) expanded_ki = (1 + c / ki) # Break it into pieces. prefactor = -fc**2 * (R / n_ns) * np.exp(-ep_r) * 2 * c * np.exp(-ep_ai) numer = (1 / ka) * expanded_ka * expanded_ki**2 - (1 / ki) * expanded_ka**2 * expanded_ki denom = (expanded_ka**2 + np.exp(-ep_ai) * expanded_ki**2)**2 return (2 / (fc - leakiness)) * prefactor * numer / denom def compute_properties(self): """ Computes the leakiness, saturation, dynamic range, EC50, and effective hill coefficient for the architecture. Properties are returned as a dictionary. """ if self.allo == False: raise RuntimeError("Available for allosteric molecules only.") # Compute the properties. leak = self.leakiness() sat = self.saturation() dyn_rng = self.dynamic_range() EC50 = self.ec50() Hill = self.effective_hill() return {'leakiness': leak, 'saturation': sat, 'dynamic_range':dyn_rng, 'EC50': EC50, 'effective_hill':Hill} def bohr_parameter(self): R""" Computes the Bohr parameter of the form bohr = k_BT(log(pact) + log(R / N_ns) + ep_r / k_BT) """ # Compute pact if self.allo is True: pact = self.mwc.pact() else: pact = 1 # Compute and return the Bohr. bohr = self.ep_r - np.log(pact) - np.log(self.R / self.n_ns) return bohr class SimpleActivation(object): """ Base class for the equilibrium model of the simple activation motif """ def __init__(self, A, ep_a, ep_int, n_ns=4.6e6, **kwargs): R""" Instantiate the SimpleRepression object. Parameters ---------- A : int, float, or array Number of activators in the system (per cell). ep_a : int, float or array Activator-DNA binding energy in units of k_BT. ep_int : int, float, or array Activator-Polymerase interaction energy in units of k_BT. n_ns : int or float Number of nonspecific DNA binding sites for the repressor molecule. Default value is the approximate length of the *E. coli* genome, 4.6e6 bp. **kwargs : dict or tuple kwargs for allosteric transcription factors see `MWC` documentation for more information. """ # Define the variables. self.A = A self.ep_a = ep_a self.ep_int = ep_int self.n_ns = n_ns # Ensure values make sense. positive_args = dict(R=R, n_ns=n_ns) for p in positive_args.keys(): val = positive_args[p] if type(val) is float or int: val = np.array([val]) if (val < 0).any(): raise RuntimeError("{0} must be positive.".format(p)) # Determine if transcription factor is allosteric if kwargs: self.allo = True self.mwc = MWC(**kwargs) else: self.allo = False def fold_change(self, pact=False): R""" fold - change for simple repression. Parameters ---------- pact : float or array The probability of having an active repressor. If None is provided, the probability will be computed given effector_conc. Returns ------- fold_change: float or nd - array Fold - change in gene expression evaluated at each value of c. """ if self.allo == False: pact = 1 else: if type(pact) == bool: pact = self.mwc.pact() # Compute repression and return inverse. numerator = 1 + pact * (self.A / self.n_ns) * np.exp(-self.ep_a +\ self.ep_int) denominator = 1 + pact * (self.A / self.n_ns) * np.exp(-self.ep_a) return numerator / denominator def saturation(self, wpa=True, num_pol=None, ep_pol=0): R""" Computes the fold - change in gene expression under saturating concentrations of effector. This function is only defined for allosteric repressors. Parameters ---------- wpa : bool If True, the weak promoter approximation will be applied. num_pol : int, float, or array The number of RNA Polymerase molecules per cell. This is required if `wpa == False`. ep_pol : int, float, or array The RNAP-DNA binding energy in units of k_BT. This is required if `wpa == False` Returns ------- saturation: float or array The leakiness of the simple repression architecture. """ if self.allo is False: raise RuntimeError( """Saturation is only defined for allosteric molecules. (`allosteric = True`)""") # Compute the pact in limit of c -> inf. pact = self.mwc.saturation() return self.fold_change(wpa, num_pol, ep_pol, pact) def leakiness(self, wpa=True, num_pol=None, ep_pol=0): R""" Computes the fold-change in gene expression under a zero concentration of effector. Parameters ---------- wpa : bool If True, the weak promoter approximation will be applied. num_pol : int, float, or array The number of RNA Polymerase molecules per cell. This is required if `wpa == False`. ep_pol : int, float, or array The RNAP-DNA binding energy in units of k_BT. This is required if `wpa == False` Returns ------- leakiness: float or array The leakiness of the simple repression architecture. """ # Compute the pact in the limit of c -> 0. if self.allo is True: pact = self.mwc.leakiness() else: pact = 1 return self.fold_change(wpa, num_pol, ep_pol, pact) def dynamic_range(self, wpa=True, num_pol=None, ep_pol=0): R""" The dynamic range of the fold - change in response to an effector molecule. This property is only defined for allosteric molecules. Parameters ---------- wpa : bool If True, the weak promoter approximation will be applied. num_pol : int, float, or array The number of RNA Polymerase molecules per cell. This is required if `wpa == False`. ep_pol : int, float, or array The RNAP-DNA binding energy in units of k_BT. This is required if `wpa == False` Returns ------- dynamic_range: float or array The leakiness of the simple repression architecture. """ # Compute the saturation and leakiness. sat = self.saturation(wpa, num_pol, ep_pol) leak = self.leakiness(wpa, num_pol, ep_pol) return sat - leak def ec50(self): """Computes the EC50 for allosteric architectures""" if self.allo is False: raise RuntimeError( 'EC50 defined only for allosteric architectures.') raise UserWarning("EC50 for simple activation not yet implemented.") def effective_hill(self): """Computes the effective hill coefficient of an allosteric repressor.""" if self.allo == False: return RuntimeError("Effective hill only defined for allosteric architectures") raise UserWarning("Effective hill for simple activation not yet implemented") def compute_properties(self): """ Computes the leakiness, saturation, dynamic range, EC50, and effective hill coefficient for the architecture. Properties are returned as a dictionary. """ if self.allo == False: raise RuntimeError("Available for allosteric molecules only.") # Compute the properties. leak = self.leakiness() sat = self.saturation() dyn_rng = self.dynamic_range() EC50 = self.ec50() Hill = self.effective_hill() return {'leakiness': leak, 'saturation': sat, 'dynamic_range':dyn_rng, 'EC50': EC50, 'effective_hill':Hill}

35.561468

97

0.562716

2,464

19,381

4.336445

0.096591

0.02555

0.033692

0.030884

0.746748

0.723538

0.687412

0.670566

0.658306

0.645297

0

0.008859

0.34766

19,381

544

98

35.626838

0.836273

0.438574

0

0.568282

0

0.070096

0

1

0.092511

false

0

0.008811

0

0.193833

0

null

0

1

0

1

0

null

0

2

bc3ffd9a63aec03ae7504d78e07335c16e7a2800

634

py

Python

src/pirateplayer/utils/confparse.py

TestDotCom/pirateplayer

c7c23f670d35b7c4f236d0f22a084cb6ee6ab5b9

[ "MIT" ]

12

2020-05-25T18:52:48.000Z

2022-03-15T15:12:54.000Z

src/pirateplayer/utils/confparse.py

TestDotCom/pirateplayer

c7c23f670d35b7c4f236d0f22a084cb6ee6ab5b9

[ "MIT" ]

4

2020-09-11T13:29:52.000Z

2021-12-17T16:55:54.000Z

src/pirateplayer/utils/confparse.py

TestDotCom/pirateplayer

c7c23f670d35b7c4f236d0f22a084cb6ee6ab5b9

[ "MIT" ]

null

# pylint: disable=missing-module-docstring import configparser import logging import os _LOGGER = logging.getLogger(__name__) _CONF = configparser.ConfigParser() def init(): """Read configuration file""" _CONF.read(os.path.expanduser('~/.config/pirateplayer/conf.ini')) def get_root() -> str: """Return user-defined music directory, or default path (~/Music) if none specified. """ return os.path.expanduser(_CONF['PLAYER'].get('root', '~/Music')) def get_pins() -> list: """Return user-defined buttons pin (BCM numbering).""" return list(_CONF['BUTTON'].getint(btn) for btn in _CONF['BUTTON'])

25.36

71

0.690852

79

634

5.392405

0.607595

0.028169

0.075117

0

0.149842

634

24

72

26.416667

0.790353

0.309148

0

0.145278

0.075061

0

1

0.272727

false

0

0.272727

0

0.727273

0

null

0

null

0

1

0

1

0

2

bc4accac7ce0137550f2c96a5cd901c5465b8400

136

py

Python

base/site-packages/authsub/urls.py

edisonlz/fastor

342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3

[ "Apache-2.0" ]

285

2019-12-23T09:50:21.000Z

2021-12-08T09:08:49.000Z

pinax/apps/authsub/urls.py

SMiGL/pinax

d08b2655fe661566bd13c5c170b1a4cad9e67a1d

[ "MIT" ]

null

pinax/apps/authsub/urls.py

SMiGL/pinax

d08b2655fe661566bd13c5c170b1a4cad9e67a1d

[ "MIT" ]

9

2019-12-23T12:59:25.000Z

2022-03-15T05:12:11.000Z

from django.conf.urls.defaults import * urlpatterns = patterns('', url(r'^login/$', 'authsub.views.login', name="authsub_login"), )

27.2

66

0.691176

17

136

5.470588

0.823529

0

0.110294

136

5

67

27.2

0.768595

0

0.291971

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

bc53433b45808b824f9ef21a112a8b6ae1bcc1b8

4,652

py

Python

src/about_dlg.py

Bertrand256/dash-masternode-tool

8fd15e956fd50d4e0da49b7b47fcfdddad14f19d

[ "MIT" ]

75

2017-03-20T06:33:14.000Z

2022-02-15T16:16:45.000Z

src/about_dlg.py

Bertrand256/dash-masternode-tool

8fd15e956fd50d4e0da49b7b47fcfdddad14f19d

[ "MIT" ]

42

2017-10-25T06:34:54.000Z

2022-02-10T20:53:46.000Z

src/about_dlg.py

Bertrand256/dash-masternode-tool

8fd15e956fd50d4e0da49b7b47fcfdddad14f19d

[ "MIT" ]

98

2017-03-20T05:27:36.000Z

2022-03-20T05:03:08.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # Author: Bertrand256 # Created on: 2017-03 import os import sys from PyQt5 import QtWidgets from PyQt5.QtCore import QSize, pyqtSlot from PyQt5.QtGui import QPixmap from PyQt5.QtWidgets import QDialog from ui import ui_about_dlg from wnd_utils import WndUtils, QDetectThemeChange class AboutDlg(QDialog, QDetectThemeChange, ui_about_dlg.Ui_AboutDlg, WndUtils): def __init__(self, parent, app_version_str): QDialog.__init__(self, parent) ui_about_dlg.Ui_AboutDlg.__init__(self) WndUtils.__init__(self, parent.app_config) self.app_version_str = app_version_str self.setupUi(self) def setupUi(self, dialog: QtWidgets.QDialog): ui_about_dlg.Ui_AboutDlg.setupUi(self, self) self.setWindowTitle("About") img = QPixmap(os.path.join(self.app_config.app_dir, "img/dmt.png")) img = img.scaled(QSize(64, 64)) self.lblImage.setPixmap(img) self.lblAppName.setText('Dash Masternode Tool ' + self.app_version_str) self.textAbout.setOpenExternalLinks(True) self.textAbout.viewport().setAutoFillBackground(False) if sys.platform == 'win32': self.resize(600, 310) self.textAbout.setHtml(self.textAbout.toHtml().replace('font-size:11pt', 'font-size:10pt')) self.textAbout.setHtml(self.textAbout.toHtml().replace('font-size:9pt', 'font-size:8pt')) elif sys.platform == 'darwin': self.textAbout.setHtml(self.textAbout.toHtml().replace('font-size:11pt', 'font-size:13pt')) elif sys.platform == 'linux': self.resize(620, 320) self.display_info() @pyqtSlot(bool) def on_btnClose_clicked(self): self.close() def onThemeChanged(self): self.display_info() def display_info(self): html = f"""<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0//EN" "http://www.w3.org/TR/REC-html40/strict.dtd"> <html><head><meta name="qrichtext" content="1" /><style type="text/css"> p, li {{ white-space: pre-wrap; }} </style></head><body style=" font-family:'Arial'; font-size:13pt; font-weight:400; font-style:normal;"> This application is free for commercial and non-commercial use. Project's GitHub URL: <a href="https://github.com/Bertrand256/dash-masternode-tool"> https://github.com/Bertrand256/dash-masternode-tool </a> Special thanks to: <ul style="margin-top: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; -qt-list-indent: 1;"> <li style=" margin-top:4px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">chaeplin for <a href="https://github.com/chaeplin/dashmnb">dashmnb</a>, which inspired the creation of this program</li> <li style=" " style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Andreas Antonopolous for his excellent technical book <a href="https://shop.oreilly.com/product/0636920049524.do">Mastering Bitcoin</a> (<a href="https://github.com/bitcoinbook/bitcoinbook/tree/develop">GitHub version</a>)</li> <li style=" " style=" margin-top:0px; margin-bottom:6px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">Vitalik Buterin for <a href="https://github.com/vbuterin/pybitcointools">pybitcointools</a> library, which is used in this app</li></ul> Author: Bertrand256 (<a href="mailto:blogin@protonmail.com">blogin@protonmail.com</a>) </body></html> """ self.textAbout.setHtml(html)

56.048193

267

0.699699

687

4,652

4.673945

0.298399

0.086889

0.044534

0.065089

0.453753

0.427593

0.41389

0.384615

0.353161

0

0.037884

0.126182

4,652

83

268

56.048193

0.75203

0.017842

0

0.157143

0

0.3

0.631187

0.073149

0

1

0.071429

false

0

0.114286

0

0.2

0

null

0

1

0

null

0

2

bc53f5427f1766b08a1850c7f243ebf9b07df940

1,978

py

Python

tests/test_pipelines.py

akamanzi/scrapy

4d594b8c2bf32cb2e171805cdb71c68b5184cca3

[ "BSD-3-Clause" ]

1

2020-01-04T15:53:27.000Z

tests/test_pipelines.py

billkangbin/scrapy

ce618fb6f234a854ae3b2a14a8a4e488539999bb

[ "BSD-3-Clause" ]

null

tests/test_pipelines.py

billkangbin/scrapy

ce618fb6f234a854ae3b2a14a8a4e488539999bb

[ "BSD-3-Clause" ]

1

2021-06-24T17:15:29.000Z

from twisted.internet import defer from twisted.internet.defer import Deferred from twisted.trial import unittest from scrapy import Spider, signals, Request from scrapy.utils.test import get_crawler from tests.mockserver import MockServer class SimplePipeline: def process_item(self, item, spider): item['pipeline_passed'] = True return item class DeferredPipeline: def cb(self, item): item['pipeline_passed'] = True return item def process_item(self, item, spider): d = Deferred() d.addCallback(self.cb) d.callback(item) return d class ItemSpider(Spider): name = 'itemspider' def start_requests(self): yield Request(self.mockserver.url('/status?n=200')) def parse(self, response): return {'field': 42} class PipelineTestCase(unittest.TestCase): def setUp(self): self.mockserver = MockServer() self.mockserver.__enter__() def tearDown(self): self.mockserver.__exit__(None, None, None) def _on_item_scraped(self, item): self.assertIsInstance(item, dict) self.assertTrue(item.get('pipeline_passed')) self.items.append(item) def _create_crawler(self, pipeline_class): settings = { 'ITEM_PIPELINES': {__name__ + '.' + pipeline_class.__name__: 1}, } crawler = get_crawler(ItemSpider, settings) crawler.signals.connect(self._on_item_scraped, signals.item_scraped) self.items = [] return crawler @defer.inlineCallbacks def test_simple_pipeline(self): crawler = self._create_crawler(SimplePipeline) yield crawler.crawl(mockserver=self.mockserver) self.assertEqual(len(self.items), 1) @defer.inlineCallbacks def test_deferred_pipeline(self): crawler = self._create_crawler(DeferredPipeline) yield crawler.crawl(mockserver=self.mockserver) self.assertEqual(len(self.items), 1)

27.472222

76

0.674924

224

1,978

5.763393

0.3125

0.065066

0.055771

0.027885

0.255616

0.106894

0

0.005229

0.226491

1,978

71

77

27.859155

0.838562

0

0.226415

0

0.044489

0

0.075472

1

0.207547

false

0.056604

0.113208

0.018868

0.509434

0

null

0

null

0

1

0

1

0

2

bc6d5e8dd3f3a74c05ebab2b43fbfc0a5c262f8d

2,626

py

Python

molsysmt/tests/topology/get_sequence_identity/test_get_sequence_identity.py

dprada/molsysmt

83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d

[ "MIT" ]

null

molsysmt/tests/topology/get_sequence_identity/test_get_sequence_identity.py

dprada/molsysmt

83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d

[ "MIT" ]

null

molsysmt/tests/topology/get_sequence_identity/test_get_sequence_identity.py

dprada/molsysmt

83f150bfe3cfa7603566a0ed4aed79d9b0c97f5d

[ "MIT" ]

null

""" Unit and regression test for the get_sequence_identity module of the molsysmt package on molsysmt MolSys molecular systems. """ # Import package, test suite, and other packages as needed import molsysmt as msm import numpy as np import math as math # Distance between atoms in space and time def test_get_sequence_identity_molsysmt_MolSys_1(): molsys = msm.convert(msm.demo['T4 lysozyme L99A']['181l.msmpk'], to_form='molsysmt.MolSys') molsys_2 = msm.convert(msm.demo['T4 lysozyme L99A']['1l17.msmpk'], to_form='molsysmt.MolSys') identity, intersection, ref_intersection = msm.topology.get_sequence_identity(molsys, selection='molecule_type=="protein"', reference_molecular_system=molsys_2, reference_selection='molecule_type=="protein"') intersection_true = np.array([0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161]) ref_intersection_true = np.array([0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 97, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161]) check_identity = math.isclose(97.53086419, identity) check_intersection = np.all(intersection_true == intersection) check_intersection_ref = np.all(ref_intersection_true == intersection_true) assert check_identity and check_intersection and check_intersection_ref

70.972973

131

0.613481

467

2,626

3.374732

0.468951

0.050761

0.036168

0.021574

0.568528

0.536802

0.497462

0

0.375492

0.2262

2,626

36

132

72.944444

0.400098

0.084539

0

0.054302

0.02005

0

0.038462

1

0.038462

false

0

0.115385

0

0.153846

0

null

0

1

0

1

0

null

0

2

bc87c4fd05dad0241a52bffc55c49157b5f7dc36

1,444

py

Python

geneticalgorithm/selectionfunctions.py

grajekf/wae-2018

609423ad5a6431da3cc481aedfe23c5fdd156373

[ "MIT" ]

null

geneticalgorithm/selectionfunctions.py

grajekf/wae-2018

609423ad5a6431da3cc481aedfe23c5fdd156373

[ "MIT" ]

null

geneticalgorithm/selectionfunctions.py

grajekf/wae-2018

609423ad5a6431da3cc481aedfe23c5fdd156373

[ "MIT" ]

null

import numpy as np from geneticalgorithm.selectionfunctor import SelectionFunctor class TournamentSelection(SelectionFunctor): def __init__(self, torunament_size): self.tournament_size = torunament_size def _select(self, population, fitness): population_with_fitness = list(zip(population, fitness)) return max([population_with_fitness[i] for i in np.random.choice(len(population_with_fitness), self.tournament_size)], key=lambda p: p[1])[0] def select(self, population, fitness): return self._select(population, fitness), self._select(population, fitness) def getparameters(self): return { 'tournament_size': self.tournament_size } def setparameter(self, key, value): changed = False if key == "tournament_size": self.tournament_size = value changed = True return changed # def tournament_generator(tournament_size): # def select_tournament(population, fitness): # population_with_fitness = list(zip(population, fitness)) # return max([population_with_fitness[i] for i in np.random.choice(len(population_with_fitness), tournament_size)], # key=lambda p: p[1])[0] # return select_tournament # def repeat(fun, n = 2): # def inner(population, fitness): # return [fun(population, fitness) for i in range(n)] # return inner

33.581395

126

0.668283

165

1,444

5.654545

0.290909

0.163987

0.135048

0.07074

0.466238

0.351554

0.293676

0

0.004533

0.23615

1,444

42

127

34.380952

0.841342

0.335873

0

0.031646

0

1

0.238095

false

0

0.095238

0.571429

0

null

0

null

0

1

0

1

0

2

bc96f40fb40b644c2ae4d1967127065007a23b3b

114

py

Python

modelsearch/src/common.py

stevencdang/AutoML-DS-Components

b0490262d3db5307c37f82c92e25cd938dd3a242

[ "Apache-2.0" ]

null

modelsearch/src/common.py

stevencdang/AutoML-DS-Components

b0490262d3db5307c37f82c92e25cd938dd3a242

[ "Apache-2.0" ]

8

2020-09-04T17:39:26.000Z

2022-03-02T03:28:38.000Z

modelsearch/src/common.py

stevencdang/AutoML-DS-Components

b0490262d3db5307c37f82c92e25cd938dd3a242

[ "Apache-2.0" ]

null

import logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) __version__ = '0.1'

16.285714

39

0.789474

14

114

5.857143

0.785714

0

0.019417

0.096491

114

6

40

19

0.776699

0

0.026316

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

bc999a8cba585f6ba3d8b7997aad9afe89cf1510

317

py

Python

src/django_dynamicfields/table_storage/admin.py

saxix/django-dynamicfields

4c200a3de1b2082f18d89f6b2484103888524f93

[ "BSD-3-Clause" ]

1

2021-07-14T02:48:25.000Z

src/django_dynamicfields/table_storage/admin.py

saxix/django-dynamicfields

4c200a3de1b2082f18d89f6b2484103888524f93

[ "BSD-3-Clause" ]

null

src/django_dynamicfields/table_storage/admin.py

saxix/django-dynamicfields

4c200a3de1b2082f18d89f6b2484103888524f93

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import, print_function, unicode_literals from django.contrib import admin from django.contrib.admin import ModelAdmin from .models import TableStorage @admin.register(TableStorage) class ICustomFieldHolder(ModelAdmin): list_display = ('field', 'value')

24.384615

72

0.785489

37

317

6.513514

0.648649

0.082988

0.141079

0

0.003584

0.119874

317

12

73

26.416667

0.860215

0.066246

0

0.034014

0

1

0

false

0

0.571429

0

0.857143

0.142857

0

null

0

null

0

1

0

1

0

2

bca044293a22ab251d85ea4c7ebcefa165d6b650

79

py

Python

test.py

php568/FlapPyBird-master

0afcfc8c96762cd2f1931c668681b89bd2f0de44

[ "MIT" ]

null

test.py

php568/FlapPyBird-master

0afcfc8c96762cd2f1931c668681b89bd2f0de44

[ "MIT" ]

null

test.py

php568/FlapPyBird-master

0afcfc8c96762cd2f1931c668681b89bd2f0de44

[ "MIT" ]

null

# -*- coding: utf-8 -*- a = ['doge1','doge2','doge3','doge4'] print(a)

6.583333

37

0.468354

10

79

3.7

0.9

0

0.080645

0.21519

79

11

38

7.181818

0.516129

0.265823

0

0.416667

0

1

0

false

0

0.5

1

0

null

0

null

0

1

0

2

bca64fd690ec5ac86896993d46e62da31694a534

322

py

Python

apps/organization/migrations/0017_merge.py

SVArago/alexia

96ae6dfabb893388bd4610ea971574a993b8029d

[ "BSD-3-Clause" ]

3

2015-12-22T00:50:43.000Z

2017-01-07T18:09:36.000Z

apps/organization/migrations/0017_merge.py

SVArago/alexia

96ae6dfabb893388bd4610ea971574a993b8029d

[ "BSD-3-Clause" ]

24

2015-11-02T15:38:40.000Z

2017-01-07T21:18:42.000Z

apps/organization/migrations/0017_merge.py

SVArago/alexia

96ae6dfabb893388bd4610ea971574a993b8029d

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9.10 on 2016-10-11 19:00 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('organization', '0011_merge'), ('organization', '0016_merge'), ] operations = [ ]

18.941176

48

0.645963

37

322

5.432432

0.783784

0

0.1

0.223602

322

16

49

20.125

0.704

0.21118

0

1

0

0.175299

0

1

0

false

0

0.222222

0

0.555556

0

null

0

1

0

null

0

1

0

2

bcb135fd17acb275088df3eac095e655af0416c1

3,283

py

Python

romcomma/mogpflow/mean_functions.py

C-O-M-M-A/rom-comma

2e4c5e200b3a3cc9a5c578c803575cf76445f2cf

[ "BSD-3-Clause" ]

1

2021-06-08T16:01:09.000Z

romcomma/mogpflow/mean_functions.py

C-O-M-M-A/rom-comma

2e4c5e200b3a3cc9a5c578c803575cf76445f2cf

[ "BSD-3-Clause" ]

null

romcomma/mogpflow/mean_functions.py

C-O-M-M-A/rom-comma

2e4c5e200b3a3cc9a5c578c803575cf76445f2cf

[ "BSD-3-Clause" ]

2

2021-07-05T11:58:05.000Z

2021-11-06T17:35:11.000Z

# BSD 3-Clause License. # # Copyright (c) 2019-2021 Robert A. Milton. All rights reserved. # # Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. # # 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this # software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, # THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF # LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, # EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """ Mean functions for mogpflow - i.e. Gaussian prior predictions.""" from __future__ import annotations from typing import Sequence, Optional, Union from gpflow.config import default_float from gpflow.mean_functions import MeanFunction, Zero import tensorflow as tf class MOMeanFunction(MeanFunction): """ Mean functions for MOGPR. Basically a wrapper for a Sequence of gpflow.mean_functions.MeanFunctions, one for each output_dim. These functions constitute the prior mean predictions f(x) in the absence of any training data. """ @property def output_dim(self): """ Also known as L.""" return len(self._functions) @property def L(self): return self.output_dim @property def functions(self): """ The sequence of functions defining this MOMeanFunction.""" return self._functions def __call__(self, X): """ Given N datapoints in X, returns an output_dim * N vector of flatten(functions(X)).""" return tf.reshape(tf.concat([f(X) for f in self._functions], axis=0), [-1]) def __init__(self, output_dim: int, mean_functions: Union[MOMeanFunction, MeanFunction, Sequence[MeanFunction]] = Zero()): """ Args: output_dim: The number of mean_functions required, also known as L. mean_functions: Is broadcast to an L-Sequence of functions, giving the prior mean f(x) for each output_dim in turn. """ if isinstance(mean_functions, MOMeanFunction): mean_functions = mean_functions.functions elif isinstance(mean_functions, MeanFunction): mean_functions = (mean_functions,) * output_dim self._functions = mean_functions

49.742424

148

0.736521

449

3,283

5.302895

0.443207

0.076438

0.027719

0.01932

0.077278

0.057119

0

0.005323

0.198903

3,283

65

149

50.507692

0.9

0.660676

0

0.130435

0

1

0.217391

false

0

0.217391

0.043478

0.652174

0

null

0

null

0

1

0

1

0

2

bcb43e9b5d3b68b89e53bad3933456c3adcdc7da

33,529

py

Python

pysnmp/DAVID-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/DAVID-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/DAVID-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module DAVID-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DAVID-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 18:21:39 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ValueSizeConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ValueSizeConstraint", "ConstraintsIntersection") DisplayString, = mibBuilder.importSymbols("RFC1155-SMI", "DisplayString") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") enterprises, IpAddress, Integer32, iso, ModuleIdentity, Gauge32, Counter32, Bits, ObjectIdentity, MibIdentifier, TimeTicks, Counter64, Unsigned32, NotificationType, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "enterprises", "IpAddress", "Integer32", "iso", "ModuleIdentity", "Gauge32", "Counter32", "Bits", "ObjectIdentity", "MibIdentifier", "TimeTicks", "Counter64", "Unsigned32", "NotificationType", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") david = MibIdentifier((1, 3, 6, 1, 4, 1, 66)) products = MibIdentifier((1, 3, 6, 1, 4, 1, 66, 1)) davidExpressNet = MibIdentifier((1, 3, 6, 1, 4, 1, 66, 1, 3)) exNetChassis = MibIdentifier((1, 3, 6, 1, 4, 1, 66, 1, 3, 1)) exNetEthernet = MibIdentifier((1, 3, 6, 1, 4, 1, 66, 1, 3, 2)) exNetConcentrator = MibIdentifier((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1)) exNetModule = MibIdentifier((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2)) exNetPort = MibIdentifier((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3)) exNetMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4)) exNetChassisType = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("other", 1), ("m6102", 2), ("m6103", 3), ("m6310tel", 4), ("m6310rj", 5), ("m6318st", 6), ("m6318sma", 7), ("reserved", 8)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetChassisType.setStatus('mandatory') exNetChassisBkplType = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("other", 1), ("expressNet", 2), ("reserved", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetChassisBkplType.setStatus('mandatory') exNetChassisBkplRev = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetChassisBkplRev.setStatus('mandatory') exNetChassisPsType = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("other", 1), ("standardXfmr", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetChassisPsType.setStatus('mandatory') exNetChassisPsStatus = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ok", 1), ("failed", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetChassisPsStatus.setStatus('mandatory') exNetSlotConfigTable = MibTable((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 7), ) if mibBuilder.loadTexts: exNetSlotConfigTable.setStatus('mandatory') exNetSlotConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 7, 1), ).setIndexNames((0, "DAVID-MIB", "exNetSlotIndex")) if mibBuilder.loadTexts: exNetSlotConfigEntry.setStatus('mandatory') exNetSlotIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 7, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetSlotIndex.setStatus('mandatory') exNetBoardId = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 7, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetBoardId.setStatus('mandatory') exNetBoardType = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 7, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=NamedValues(("empty", 1), ("other", 2), ("m6203", 3), ("m6201", 4), ("m6311", 5), ("m6312", 6), ("m6313st", 7), ("m6313sma", 8), ("m6006", 9), ("reserved", 10)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetBoardType.setStatus('mandatory') exNetBoardDescr = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 7, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetBoardDescr.setStatus('mandatory') exNetBoardNumOfPorts = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 7, 1, 40), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetBoardNumOfPorts.setStatus('mandatory') exNetChassisCapacity = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetChassisCapacity.setStatus('mandatory') exNetConcRetimingStatus = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcRetimingStatus.setStatus('mandatory') exNetConcFrmsRxOk = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcFrmsRxOk.setStatus('mandatory') exNetConcOctetsRxOk = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcOctetsRxOk.setStatus('mandatory') exNetConcMcastFrmsRxOk = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcMcastFrmsRxOk.setStatus('mandatory') exNetConcBcastFrmsRxOk = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcBcastFrmsRxOk.setStatus('mandatory') exNetConcColls = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcColls.setStatus('mandatory') exNetConcTooLongErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcTooLongErrors.setStatus('mandatory') exNetConcRuntErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcRuntErrors.setStatus('mandatory') exNetConcFragErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcFragErrors.setStatus('mandatory') exNetConcAlignErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcAlignErrors.setStatus('mandatory') exNetConcFcsErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcFcsErrors.setStatus('mandatory') exNetConcLateCollErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcLateCollErrors.setStatus('mandatory') exNetConcName = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 40), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetConcName.setStatus('mandatory') exNetConcJabbers = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 41), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcJabbers.setStatus('mandatory') exNetConcSfdErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 42), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcSfdErrors.setStatus('mandatory') exNetConcAutoPartitions = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 43), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcAutoPartitions.setStatus('mandatory') exNetConcOosBitRate = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 44), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcOosBitRate.setStatus('mandatory') exNetConcLinkErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 45), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcLinkErrors.setStatus('mandatory') exNetConcFrameErrors = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 46), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcFrameErrors.setStatus('mandatory') exNetConcNetUtilization = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 47), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 10))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcNetUtilization.setStatus('mandatory') exNetConcResetTimeStamp = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 48), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetConcResetTimeStamp.setStatus('mandatory') exNetConcReset = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 1, 49), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("noReset", 1), ("reset", 2), ("resetToDefault", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetConcReset.setStatus('mandatory') exNetModuleTable = MibTable((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1), ) if mibBuilder.loadTexts: exNetModuleTable.setStatus('mandatory') exNetModuleEntry = MibTableRow((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1), ).setIndexNames((0, "DAVID-MIB", "exNetModuleIndex")) if mibBuilder.loadTexts: exNetModuleEntry.setStatus('mandatory') exNetModuleIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleIndex.setStatus('mandatory') exNetModuleType = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=NamedValues(("empty", 1), ("other", 2), ("m6203", 3), ("m6201", 4), ("m6311", 5), ("m6312", 6), ("m6313st", 7), ("m6313sma", 8), ("m6006", 9), ("reserved", 10)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleType.setStatus('mandatory') exNetModuleHwVer = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleHwVer.setStatus('mandatory') exNetModuleStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("ok", 1), ("noComms", 2), ("selfTestFail", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleStatus.setStatus('mandatory') exNetModuleReset = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("noReset", 1), ("reset", 2), ("resetToDefault", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetModuleReset.setStatus('mandatory') exNetModulePartStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("partition", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetModulePartStatus.setStatus('mandatory') exNetModuleNmCntlStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("notNmControl", 1), ("nmControl", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleNmCntlStatus.setStatus('mandatory') exNetModulePsStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ok", 1), ("fail", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModulePsStatus.setStatus('mandatory') exNetModuleFrmsRxOk = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleFrmsRxOk.setStatus('mandatory') exNetModuleOctetsRxOk = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleOctetsRxOk.setStatus('mandatory') exNetModuleColls = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleColls.setStatus('mandatory') exNetModuleTooLongErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleTooLongErrors.setStatus('mandatory') exNetModuleRuntErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleRuntErrors.setStatus('mandatory') exNetModuleAlignErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 16), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleAlignErrors.setStatus('mandatory') exNetModuleFcsErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 17), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleFcsErrors.setStatus('mandatory') exNetModuleLateCollErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 18), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleLateCollErrors.setStatus('mandatory') exNetModuleName = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 40), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetModuleName.setStatus('mandatory') exNetModuleJabbers = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 41), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleJabbers.setStatus('mandatory') exNetModuleSfdErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 42), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleSfdErrors.setStatus('mandatory') exNetModuleAutoPartitions = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 43), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleAutoPartitions.setStatus('mandatory') exNetModuleOosBitRate = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 44), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleOosBitRate.setStatus('mandatory') exNetModuleLinkErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 45), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleLinkErrors.setStatus('mandatory') exNetModuleFrameErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 46), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleFrameErrors.setStatus('mandatory') exNetModuleFragErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 47), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleFragErrors.setStatus('mandatory') exNetModulePortConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 48), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetModulePortConfig.setStatus('mandatory') exNetModuleLinkStatConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 49), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetModuleLinkStatConfig.setStatus('mandatory') exNetModuleResetTimeStamp = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 50), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleResetTimeStamp.setStatus('mandatory') exNetModuleLinkStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 51), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleLinkStatus.setStatus('mandatory') exNetModuleFwVer = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 52), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleFwVer.setStatus('mandatory') exNetModuleFwFeaturePkg = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 53), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleFwFeaturePkg.setStatus('mandatory') exNetModuleSelfTestResult = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 2, 1, 1, 54), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetModuleSelfTestResult.setStatus('mandatory') exNetPortTable = MibTable((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1), ) if mibBuilder.loadTexts: exNetPortTable.setStatus('mandatory') exNetPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1), ).setIndexNames((0, "DAVID-MIB", "exNetPortModuleIndex"), (0, "DAVID-MIB", "exNetPortIndex")) if mibBuilder.loadTexts: exNetPortEntry.setStatus('mandatory') exNetPortModuleIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortModuleIndex.setStatus('mandatory') exNetPortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortIndex.setStatus('mandatory') exNetPortLinkStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("off", 1), ("on", 2), ("other", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortLinkStatus.setStatus('mandatory') exNetPortPartStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("enabled", 1), ("partition", 2), ("autoPartition", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetPortPartStatus.setStatus('mandatory') exNetPortJabberStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ok", 1), ("jabbering", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortJabberStatus.setStatus('mandatory') exNetPortFrmsRxOk = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortFrmsRxOk.setStatus('mandatory') exNetPortOctetsRxOk = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortOctetsRxOk.setStatus('mandatory') exNetPortColls = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortColls.setStatus('mandatory') exNetPortTooLongErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortTooLongErrors.setStatus('mandatory') exNetPortRuntErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortRuntErrors.setStatus('mandatory') exNetPortAlignErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortAlignErrors.setStatus('mandatory') exNetPortFcsErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortFcsErrors.setStatus('mandatory') exNetPortLateCollErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortLateCollErrors.setStatus('mandatory') exNetPortName = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 40), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetPortName.setStatus('mandatory') exNetPortJabbers = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 41), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortJabbers.setStatus('mandatory') exNetPortSfdErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 42), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortSfdErrors.setStatus('mandatory') exNetPortAutoPartitions = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 43), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortAutoPartitions.setStatus('mandatory') exNetPortOosBitRate = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 44), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortOosBitRate.setStatus('mandatory') exNetPortLinkErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 45), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortLinkErrors.setStatus('mandatory') exNetPortFrameErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 46), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortFrameErrors.setStatus('mandatory') exNetPortFragErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 47), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortFragErrors.setStatus('mandatory') exNetPortType = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 48), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("repeater", 2), ("tenBasefAsync", 3), ("tenBasefSync", 4)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortType.setStatus('mandatory') exNetPortMauType = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 49), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("other", 1), ("tenBase5", 2), ("tenBaseT", 3), ("fOIRL", 4), ("tenBase2", 5), ("tenBaseFA", 6)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetPortMauType.setStatus('mandatory') exNetPortConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 50), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("enabled", 2), ("disabled", 3), ("txDisabled", 4), ("rxDisabled", 5)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetPortConfig.setStatus('mandatory') exNetPortLinkStatConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 51), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("enabled", 2), ("disabled", 3), ("txDisabled", 4), ("rxDisabled", 5)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetPortLinkStatConfig.setStatus('mandatory') exNetPortPolarity = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 52), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("positive", 2), ("negative", 3), ("txNegative", 4), ("rxNegative", 5)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetPortPolarity.setStatus('mandatory') exNetPortTransmitTest = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 3, 1, 1, 53), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("other", 1), ("disabled", 2), ("enabled", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetPortTransmitTest.setStatus('mandatory') exNetMgmtType = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("other", 1), ("tbd", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetMgmtType.setStatus('mandatory') exNetMgmtHwVer = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetMgmtHwVer.setStatus('mandatory') exNetMgmtFwVer = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetMgmtFwVer.setStatus('mandatory') exNetMgmtSwMajorVer = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetMgmtSwMajorVer.setStatus('mandatory') exNetMgmtSwMinorVer = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetMgmtSwMinorVer.setStatus('mandatory') exNetMgmtStatus = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("offline", 1), ("online", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetMgmtStatus.setStatus('mandatory') exNetMgmtMode = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("primary", 1), ("secondary", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtMode.setStatus('mandatory') exNetMgmtReset = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("notReset", 1), ("reset", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtReset.setStatus('mandatory') exNetMgmtRestart = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("notRestart", 1), ("restart", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtRestart.setStatus('mandatory') exNetMgmtIpAddr = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 10), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtIpAddr.setStatus('mandatory') exNetMgmtNetMask = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 11), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtNetMask.setStatus('mandatory') exNetMgmtDefaultGateway = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 12), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtDefaultGateway.setStatus('mandatory') exNetMgmtBaudRate = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 17), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: exNetMgmtBaudRate.setStatus('mandatory') exNetMgmtLocation = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 19), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtLocation.setStatus('mandatory') exNetMgmtTrapReceiverTable = MibTable((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 20), ) if mibBuilder.loadTexts: exNetMgmtTrapReceiverTable.setStatus('mandatory') exNetMgmtTrapReceiverEntry = MibTableRow((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 20, 1), ).setIndexNames((0, "DAVID-MIB", "exNetMgmtTrapReceiverAddr")) if mibBuilder.loadTexts: exNetMgmtTrapReceiverEntry.setStatus('mandatory') exNetMgmtTrapType = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 20, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("other", 1), ("invalid", 2))).clone(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtTrapType.setStatus('mandatory') exNetMgmtTrapReceiverAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 20, 1, 2), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtTrapReceiverAddr.setStatus('mandatory') exNetMgmtTrapReceiverComm = MibTableColumn((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 20, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(20, 20)).setFixedLength(20)).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtTrapReceiverComm.setStatus('mandatory') exNetMgmtAuthTrap = MibScalar((1, 3, 6, 1, 4, 1, 66, 1, 3, 2, 4, 21), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: exNetMgmtAuthTrap.setStatus('mandatory') mibBuilder.exportSymbols("DAVID-MIB", exNetPortIndex=exNetPortIndex, exNetMgmtAuthTrap=exNetMgmtAuthTrap, exNetModuleOctetsRxOk=exNetModuleOctetsRxOk, exNetPortPartStatus=exNetPortPartStatus, exNetPortSfdErrors=exNetPortSfdErrors, exNetConcAlignErrors=exNetConcAlignErrors, exNetPortLinkErrors=exNetPortLinkErrors, exNetChassisCapacity=exNetChassisCapacity, exNetMgmtHwVer=exNetMgmtHwVer, exNetConcAutoPartitions=exNetConcAutoPartitions, exNetMgmtDefaultGateway=exNetMgmtDefaultGateway, exNetChassisBkplType=exNetChassisBkplType, exNetMgmt=exNetMgmt, exNetModuleRuntErrors=exNetModuleRuntErrors, exNetMgmtTrapReceiverTable=exNetMgmtTrapReceiverTable, exNetConcentrator=exNetConcentrator, exNetConcLinkErrors=exNetConcLinkErrors, exNetModuleSfdErrors=exNetModuleSfdErrors, exNetModuleFwVer=exNetModuleFwVer, exNetModulePortConfig=exNetModulePortConfig, exNetChassisPsStatus=exNetChassisPsStatus, exNetModuleEntry=exNetModuleEntry, exNetPortLateCollErrors=exNetPortLateCollErrors, exNetModuleNmCntlStatus=exNetModuleNmCntlStatus, exNetMgmtFwVer=exNetMgmtFwVer, exNetConcResetTimeStamp=exNetConcResetTimeStamp, exNetModuleSelfTestResult=exNetModuleSelfTestResult, exNetModule=exNetModule, exNetMgmtLocation=exNetMgmtLocation, exNetSlotIndex=exNetSlotIndex, exNetModuleAutoPartitions=exNetModuleAutoPartitions, exNetSlotConfigTable=exNetSlotConfigTable, exNetPortPolarity=exNetPortPolarity, exNetPortJabberStatus=exNetPortJabberStatus, exNetConcJabbers=exNetConcJabbers, exNetPortTable=exNetPortTable, exNetMgmtMode=exNetMgmtMode, exNetMgmtTrapReceiverComm=exNetMgmtTrapReceiverComm, exNetMgmtSwMajorVer=exNetMgmtSwMajorVer, exNetBoardId=exNetBoardId, exNetConcOctetsRxOk=exNetConcOctetsRxOk, exNetModuleStatus=exNetModuleStatus, exNetMgmtStatus=exNetMgmtStatus, exNetMgmtReset=exNetMgmtReset, exNetModuleHwVer=exNetModuleHwVer, exNetModuleIndex=exNetModuleIndex, davidExpressNet=davidExpressNet, exNetConcBcastFrmsRxOk=exNetConcBcastFrmsRxOk, exNetPortLinkStatus=exNetPortLinkStatus, exNetConcMcastFrmsRxOk=exNetConcMcastFrmsRxOk, exNetModuleType=exNetModuleType, exNetConcLateCollErrors=exNetConcLateCollErrors, exNetMgmtSwMinorVer=exNetMgmtSwMinorVer, exNetPortFrmsRxOk=exNetPortFrmsRxOk, exNetModuleFrmsRxOk=exNetModuleFrmsRxOk, exNetPortColls=exNetPortColls, exNetModuleName=exNetModuleName, exNetModuleLinkStatConfig=exNetModuleLinkStatConfig, exNetConcRetimingStatus=exNetConcRetimingStatus, exNetModuleColls=exNetModuleColls, exNetPortTooLongErrors=exNetPortTooLongErrors, exNetConcOosBitRate=exNetConcOosBitRate, exNetMgmtBaudRate=exNetMgmtBaudRate, exNetPortModuleIndex=exNetPortModuleIndex, exNetBoardNumOfPorts=exNetBoardNumOfPorts, exNetPortFrameErrors=exNetPortFrameErrors, exNetConcSfdErrors=exNetConcSfdErrors, exNetMgmtTrapReceiverAddr=exNetMgmtTrapReceiverAddr, exNetModuleFragErrors=exNetModuleFragErrors, exNetChassisPsType=exNetChassisPsType, exNetBoardDescr=exNetBoardDescr, exNetPortEntry=exNetPortEntry, exNetModuleLateCollErrors=exNetModuleLateCollErrors, exNetPortMauType=exNetPortMauType, exNetConcReset=exNetConcReset, exNetModuleTable=exNetModuleTable, david=david, exNetModuleTooLongErrors=exNetModuleTooLongErrors, exNetSlotConfigEntry=exNetSlotConfigEntry, exNetModulePsStatus=exNetModulePsStatus, exNetModuleFwFeaturePkg=exNetModuleFwFeaturePkg, exNetConcFrameErrors=exNetConcFrameErrors, exNetPortOosBitRate=exNetPortOosBitRate, exNetConcFragErrors=exNetConcFragErrors, exNetConcTooLongErrors=exNetConcTooLongErrors, exNetModuleLinkStatus=exNetModuleLinkStatus, exNetChassisType=exNetChassisType, exNetModuleResetTimeStamp=exNetModuleResetTimeStamp, exNetPortAlignErrors=exNetPortAlignErrors, exNetPortFcsErrors=exNetPortFcsErrors, exNetBoardType=exNetBoardType, exNetEthernet=exNetEthernet, exNetPortType=exNetPortType, exNetConcRuntErrors=exNetConcRuntErrors, exNetConcColls=exNetConcColls, exNetConcFrmsRxOk=exNetConcFrmsRxOk, exNetModulePartStatus=exNetModulePartStatus, exNetPortName=exNetPortName, exNetPortTransmitTest=exNetPortTransmitTest, exNetPortJabbers=exNetPortJabbers, exNetMgmtIpAddr=exNetMgmtIpAddr, exNetPortConfig=exNetPortConfig, exNetModuleJabbers=exNetModuleJabbers, exNetPortLinkStatConfig=exNetPortLinkStatConfig, exNetMgmtNetMask=exNetMgmtNetMask, exNetPortOctetsRxOk=exNetPortOctetsRxOk, exNetModuleOosBitRate=exNetModuleOosBitRate, exNetModuleReset=exNetModuleReset, exNetModuleFrameErrors=exNetModuleFrameErrors, exNetPortAutoPartitions=exNetPortAutoPartitions, exNetModuleFcsErrors=exNetModuleFcsErrors, exNetMgmtTrapType=exNetMgmtTrapType, exNetChassis=exNetChassis, exNetConcName=exNetConcName, products=products, exNetModuleLinkErrors=exNetModuleLinkErrors, exNetModuleAlignErrors=exNetModuleAlignErrors, exNetMgmtType=exNetMgmtType, exNetConcFcsErrors=exNetConcFcsErrors, exNetMgmtTrapReceiverEntry=exNetMgmtTrapReceiverEntry, exNetPortFragErrors=exNetPortFragErrors, exNetPort=exNetPort, exNetMgmtRestart=exNetMgmtRestart, exNetConcNetUtilization=exNetConcNetUtilization, exNetChassisBkplRev=exNetChassisBkplRev, exNetPortRuntErrors=exNetPortRuntErrors)

129.455598

5,017

0.752185

3,873

33,529

6.511748

0.081332

0.020301

0.014988

0.019984

0.492308

0.466812

0.380174

0.374148

0.32839

0.275337

0

0.078064

0.084971

33,529

258

5,018

129.957364

0.74397

0.009305

0

0.09844

0.002078

0

1

0

false

0

0.027888

0

0.027888

0

null

0

1

0

null

0

2

bcc2aade9ea83649520c64810e09e87b3fbcfdfb

273

py

Python

documents/error_calculate/error_calculate.py

fe1t/wifi_positioning

a4059704ed66404b9c2f143b07b5c02fdb69c8a7

[ "MIT" ]

2

2017-12-20T14:01:01.000Z

2021-12-29T08:31:44.000Z

documents/error_calculate/error_calculate.py

fe1t/wifi_positioning

a4059704ed66404b9c2f143b07b5c02fdb69c8a7

[ "MIT" ]

null

documents/error_calculate/error_calculate.py

fe1t/wifi_positioning

a4059704ed66404b9c2f143b07b5c02fdb69c8a7

[ "MIT" ]

null

import math with open("error_collection") as f: data = eval(f.read()) def find_erdst(x1, y1, x2, y2): return math.sqrt( (x1-x2)**2 + (y1 - y2) ** 2) error_distance = 0 for i in data: error_distance += find_erdst(*i) print float(error_distance) / len(data)

18.2

50

0.644689

46

273

3.695652

0.630435

0.229412

0

0.050228

0.197802

273

14

51

19.5

0.726027

0

0.058824

0

null

0

0.111111

null

0.111111

0

null

1

0

null

0

1

0

2

bcc36e7cdd3a9e6085424429b5fb4d4950ab10ef

1,414

py

Python

cooking_dl.py

ilvar/coursera_cooking_dl

31ab3ed551d087ad0b03df52d4949f09587dee15

[ "MIT" ]

null

cooking_dl.py

ilvar/coursera_cooking_dl

31ab3ed551d087ad0b03df52d4949f09587dee15

[ "MIT" ]

null

cooking_dl.py

ilvar/coursera_cooking_dl

31ab3ed551d087ad0b03df52d4949f09587dee15

[ "MIT" ]

null

import netrc import os import selenium.webdriver import wget rc = netrc.netrc() user, host, password = rc.hosts['coursera-dl'] try: os.makedirs(os.path.join('.', 'videos')) except OSError: pass browser = selenium.webdriver.Firefox() browser.implicitly_wait(10) try: browser.get('https://www.coursera.org/learn/childnutrition/outline') browser.find_element_by_link_text('Log In').click() browser.find_element_by_css_selector('div[data-state="login"] #user-modal-email').send_keys(user) browser.find_element_by_css_selector('div[data-state="login"] #user-modal-password').send_keys(password) browser.find_element_by_css_selector('div[data-state="login"] button[data-js="submit"]').click() browser.find_element_by_id('coursera-header-account-popup') links = browser.find_elements_by_css_selector('a[href*="learn/childnutrition/lecture"]') links = [a.get_attribute('href') for a in links] for i, l in enumerate(links): print 'Processing', l browser.get(l) video = browser.find_element_by_tag_name('video') video_url = video.get_attribute('src') fname = '%05d_%s.mp4' % (i + 1, os.path.basename(l)) fpath = os.path.join('.', 'videos', fname) if not os.path.exists(fpath): print 'Saving to %s' % fname wget.download(video_url, out=fpath) print '' finally: browser.quit()

32.136364

108

0.681047

196

1,414

4.734694

0.464286

0.082974

0.116379

0.12931

0.206897

0.174569

0

0.005106

0.169024

1,414

43

109

32.883721

0.784681

0

0.058824

0

0.23338

0.113861

0

null

0.088235

0.117647

null

0.088235

0

null

0

null

0

1

0

1

0

2

bcc91f3666662e9b6a5c9d87f7ed3c4635394635

7,142

py

Python

securetea/args/arguments.py

jay13patel/SecureTea-Project

73686512bd3633809bb3e83948d3d4ea45cc0218

[ "MIT" ]

1

2019-03-26T11:01:03.000Z

securetea/args/arguments.py

jay13patel/SecureTea-Project

73686512bd3633809bb3e83948d3d4ea45cc0218

[ "MIT" ]

null

securetea/args/arguments.py

jay13patel/SecureTea-Project

73686512bd3633809bb3e83948d3d4ea45cc0218

[ "MIT" ]

null

# -*- coding: utf-8 -*- u"""Arguments module for SecureTea. Project: ╔═╗┌─┐┌─┐┬ ┬┬─┐┌─┐╔╦╗┌─┐┌─┐ ╚═╗├┤ │ │ │├┬┘├┤ ║ ├┤ ├─┤ ╚═╝└─┘└─┘└─┘┴└─└─┘ ╩ └─┘┴ ┴ Author: Rejah Rehim <rejah@appfabs.com> , Aug 31 2018 Version: 1.1 Module: SecureTea """ import argparse def get_args(): """Docstring. Returns: Args: total arguments """ parser = argparse.ArgumentParser(description='Arguments of SecureTea') parser.add_argument( '--conf', type=str, required=False, help='Path of config file. default:- "~/.securetea/securetea.conf" ' ) parser.add_argument( '--debug', default=False, action="store_true", help='Degug true or false' ) parser.add_argument( '--twitter', required=False, action='store_true', help='Setup twitter credentials' ) parser.add_argument( '--twilio_sms', required=False, action='store_true', help='Setup twilio SMS credentials' ) parser.add_argument( '--telegram', required=False, action='store_true', help='Setup telegram SMS credentials' ) parser.add_argument( '--slack', required=False, action='store_true', help='Setup Slack credentials' ) parser.add_argument( '--aws_ses', required=False, action='store_true', help='Setup AWS SES credentials' ) parser.add_argument( '--twitter_api_key', '-tak', type=str, required=False, help='Twitter api key' ) parser.add_argument( '--twitter_api_secret_key', '-tas', type=str, required=False, help='Twitter api secret' ) parser.add_argument( '--twitter_access_token', '-tat', type=str, required=False, help='Twitter access token' ) parser.add_argument( '--twitter_access_token_secret', '-tats', type=str, required=False, help='Twitter access token secret' ) parser.add_argument( '--telegram_bot_token', '-tbt', type=str, required=False, help='Telegram Bot Token' ) parser.add_argument( '--telegram_user_id', '-tui', type=str, required=False, help='Telegram user id' ) parser.add_argument( '--twilio_sid', '-tws', type=str, required=False, help='Twilio SID' ) parser.add_argument( '--twilio_token', '-twt', type=str, required=False, help='Twilio authorization token' ) parser.add_argument( '--twilio_from', '-twf', type=str, required=False, help='Twilio (From) phone number' ) parser.add_argument( '--twilio_to', '-twto', type=str, required=False, help='Twilio (To) phone number' ) parser.add_argument( '--slack_token', '-st', type=str, required=False, help='Slack token' ) parser.add_argument( '--slack_user_id', '-suid', type=str, required=False, help='Slack user id' ) parser.add_argument( '--aws_email', '-awse', type=str, required=False, help='AWS email id' ) parser.add_argument( '--aws_secret_key', '-awss', type=str, required=False, help='AWS secret key' ) parser.add_argument( '--aws_access_key', '-awsa', type=str, required=False, help='AWS access key' ) parser.add_argument( '--firewall', '-f', required=False, action='store_true', help='Start firewall' ) parser.add_argument( '--interface', required=False, help='Name of the interface' ) parser.add_argument( '--inbound_IP_action', type=str, required=False, help='Inbound IP rule action' ) parser.add_argument( '--inbound_IP_list', type=str, required=False, help='List of inbound IPs to look for' ) parser.add_argument( '--outbound_IP_action', type=str, required=False, help='Outbound IP rule action (0: BLOCK, 1: ALLOW)' ) parser.add_argument( '--outbound_IP_list', type=str, required=False, help='List of outbound IPs to look for' ) parser.add_argument( '--protocol_action', type=str, required=False, help='Protocol action (0: BLOCK, 1: ALLOW)' ) parser.add_argument( '--protocol_list', type=str, required=False, help='List of protocols to look for' ) parser.add_argument( '--scan_action', type=str, required=False, help='Scan load action (0: BLOCK, 1: ALLOW)' ) parser.add_argument( '--scan_list', type=str, required=False, help='List of extensions to scan for' ) parser.add_argument( '--dest_port_action', type=str, required=False, help='Destination port action (0: BLOCK, 1: ALLOW)' ) parser.add_argument( '--dest_port_list', type=str, required=False, help='List of destination ports to look for' ) parser.add_argument( '--source_port_action', type=str, required=False, help='Source port action (0: BLOCK, 1: ALLOW)' ) parser.add_argument( '--source_port_list', type=str, required=False, help='List of source ports to look for' ) parser.add_argument( '--HTTP_request_action', type=str, required=False, help='HTTP request action (0: BLOCK, 1: ALLOW)' ) parser.add_argument( '--HTTP_response_action', type=str, required=False, help='HTTP response action (0: BLOCK, 1: ALLOW)' ) parser.add_argument( '--dns_action', type=str, required=False, help='DNS action (0: BLOCK, 1: ALLOW)' ) parser.add_argument( '--dns_list', type=str, required=False, help='List of DNS to look for' ) parser.add_argument( '--time_lb', type=str, required=False, help='Time lower bound' ) parser.add_argument( '--time_ub', type=str, required=False, help='Time upper bound' ) parser.add_argument( '--insecure_headers', '-ih', action="store_true", required=False, help="Test URL for insecure headers" ) parser.add_argument( '--url', '-u', type=str, required=False, help="URL on which operations are to be performed" ) args = parser.parse_args() return args

20.347578

76

0.521143

742

7,142

4.959569

0.200809

0.107609

0.203261

0.190217

0.608696

0.495652

0.326359

0.170652

0.082065

0

0.005388

0.350322

7,142

350

77

20.405714

0.772845

0.042705

0

0.452962

0

0.290119

0.021583

0

1

0.003484

false

0

0.003484

0

0.010453

0

null

0

1

0

null

0

2

bccfcffbb39fca37f60ccc443b121849785ebf24

88

py

Python

chapter10/examples/file_examples/with_file.py

YordanIH/Intro_to_CS_w_Python

eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a

[ "MIT" ]

null

chapter10/examples/file_examples/with_file.py

YordanIH/Intro_to_CS_w_Python

eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a

[ "MIT" ]

null

chapter10/examples/file_examples/with_file.py

YordanIH/Intro_to_CS_w_Python

eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a

[ "MIT" ]

null

with open('file_example.txt', 'r') as file: contents = file.read() print(contents)

17.6

43

0.670455

13

88

4.461538

0.769231

0

0.159091

88

4

44

22

0.783784

0

0.193182

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

2

bce9d13708c55bad3aa02aa3011288d4cd4b2fed

3,906

py

Python

tests/test_app.py

eliksir/Flask-RQ2

e90a624d5429539e2c91243d2d1d11b435b375ad

[ "MIT" ]

160

2018-02-06T15:18:20.000Z

2022-03-31T09:39:31.000Z

tests/test_app.py

eliksir/Flask-RQ2

e90a624d5429539e2c91243d2d1d11b435b375ad

[ "MIT" ]

62

2018-02-05T11:23:13.000Z

2022-02-19T16:34:58.000Z

tests/test_app.py

eliksir/Flask-RQ2

e90a624d5429539e2c91243d2d1d11b435b375ad

[ "MIT" ]

33

2018-03-02T01:26:18.000Z

2022-02-05T09:07:58.000Z

# -*- coding: utf-8 -*- from redis import StrictRedis from rq.queue import Queue from rq.utils import import_attribute from rq.worker import Worker from rq_scheduler import Scheduler import pytest from flask_rq2 import RQ def exception_handler(*args, **kwargs): pass def test_init_app(app, config): rq = RQ() assert 'rq2' not in getattr(app, 'extensions', {}) assert getattr(rq, 'module', None) is None rq.init_app(app) assert rq.redis_url == config.RQ_REDIS_URL assert isinstance(rq.connection, StrictRedis) assert 'rq2' in getattr(app, 'extensions', {}) def test_rq_outside_flask(): rq = RQ() assert pytest.raises(RuntimeError, lambda: rq.connection) def test_config_redis(config, rq): assert rq.redis_url == config.RQ_REDIS_URL assert isinstance(rq.connection, StrictRedis) def test_config_queues(config, rq): assert rq.queues == config.RQ_QUEUES def test_config_async(app, config, rq): assert rq._is_async == config.RQ_ASYNC def test_config_async_override(app, config, rq): rq2 = RQ(app, is_async=not config.RQ_ASYNC) assert rq2._is_async != config.RQ_ASYNC def test_config_default_timeout(app, config): rq3 = RQ(app, default_timeout=911) assert rq3.default_timeout != Queue.DEFAULT_TIMEOUT assert rq3.default_timeout == 911 def test_config_scheduler_interval(config, rq): rq.scheduler_interval == config.RQ_SCHEDULER_INTERVAL def test_config_scheduler_queue(config, rq): rq.scheduler_queue = config.RQ_SCHEDULER_QUEUE def test_exception_handler(rq): rq.exception_handler(exception_handler) assert 'test_app.exception_handler' in rq._exception_handlers def test_get_worker(rq): worker = rq.get_worker() assert isinstance(worker, Worker) assert [queue.name for queue in worker.queues] == rq.queues def test_get_worker_with_queues(rq): worker = rq.get_worker('some-queue') assert isinstance(worker, Worker) queue_names = [queue.name for queue in worker.queues] assert queue_names != rq.queues assert 'some-queue' in queue_names def test_get_worker_with_exception_handlers(rq): rq.exception_handler(exception_handler) worker = rq.get_worker() assert exception_handler in worker._exc_handlers def test_get_queue(rq): assert rq._queue_instances == {} queue = rq.get_queue() assert rq._queue_instances != {} assert queue in rq._queue_instances.values() assert isinstance(queue, Queue) assert isinstance(queue, import_attribute(rq.queue_class)) assert queue.name == rq.default_queue assert queue._default_timeout == rq.default_timeout assert queue._is_async == rq._is_async assert queue.connection == rq.connection def test_get_queue_with_name(rq): queue = rq.get_queue('some-queue') assert queue.name == 'some-queue' assert queue.name in rq._queue_instances name2 = 'some-other-queue' assert name2 not in rq._queue_instances queue2 = rq.get_queue(name2) assert queue2.name == name2 assert name2 in rq._queue_instances def test_get_scheduler(rq): scheduler = rq.get_scheduler() assert isinstance(scheduler, Scheduler) assert isinstance(scheduler, import_attribute(rq.scheduler_class)) assert scheduler.queue_name == rq.scheduler_queue assert scheduler._interval == rq.scheduler_interval assert scheduler.connection == rq.connection def test_get_scheduler_interval(rq): scheduler = rq.get_scheduler(interval=23) assert scheduler._interval != rq.scheduler_interval assert scheduler._interval == 23 def test_get_scheduler_queue(rq): scheduler = rq.get_scheduler(queue='other') assert scheduler.queue_name == 'other' def test_get_scheduler_importerror(rq): # in case scheduler can't be imported rq.scheduler_class = 'non.existing.Scheduler' with pytest.raises(ImportError): rq.get_scheduler()

27.125

70

0.740143

541

3,906

5.085028

0.133087

0.048346

0.032715

0.026172

0.272628

0.189022

0.139586

0.117048

0.051618

0

0.007983

0.166155

3,906

143

71

27.314685

0.83666

0.014593

0

0.129032

0

0.037962

0.012481

0

0.451613

1

0.215054

false

0.010753

0.11828

0

0.333333

0

null

0

null

0

1

0

1

0

2

bcedf0f2d815f1f2aee3c13ec37a18efe1beeae6

258

py

Python

winregistry/__init__.py

michael-rolfe/winregistry

f3f2cfcb794a0482283ce7c96d03b13f665c3695

[ "MIT" ]

18

2017-04-04T04:19:13.000Z

2022-01-11T09:16:52.000Z

winregistry/__init__.py

michael-rolfe/winregistry

f3f2cfcb794a0482283ce7c96d03b13f665c3695

[ "MIT" ]

6

2017-09-21T21:14:05.000Z

2022-03-30T11:35:24.000Z

winregistry/__init__.py

michael-rolfe/winregistry

f3f2cfcb794a0482283ce7c96d03b13f665c3695

[ "MIT" ]

4

2019-03-21T08:24:09.000Z

2021-10-13T10:49:22.000Z

from winregistry.consts import ShortRootAlias, WinregType from winregistry.models import RegEntry, RegKey from winregistry.winregistry import WinRegistry __all__ = ( "WinRegistry", "RegEntry", "RegKey", "WinregType", "ShortRootAlias", )

21.5

57

0.74031

23

258

8.130435

0.434783

0.240642

0

0.170543

258

11

58

23.454545

0.873832

0

0.189922

0

1

0

false

0

0.3

0

0.3

0

1

0

null

1

0

null

0

2

bcfab6b007439fd9ae2c247f08fd70da16c4508b

1,613

py

Python

lambda/custom/core/interceptors/logger_interceptors.py

Antoninj/stib-alexa-skill

bb6335fe9ac37f7fd0630d51a514071143467ecb

[ "Apache-2.0" ]

1

2020-05-15T19:42:52.000Z

lambda/custom/core/interceptors/logger_interceptors.py

Antoninj/stib-alexa-skill

bb6335fe9ac37f7fd0630d51a514071143467ecb

[ "Apache-2.0" ]

127

2020-05-18T05:48:27.000Z

2022-03-01T04:12:44.000Z

lambda/custom/core/interceptors/logger_interceptors.py

Antoninj/stib-alexa-skill

bb6335fe9ac37f7fd0630d51a514071143467ecb

[ "Apache-2.0" ]

1

2020-08-27T10:17:41.000Z

# Copyright 2020 Antonin Jousson # # Licensed under the Apache License, Version 2.0 (the "License"). # You may not use this file except in compliance with the License. # A copy of the License is located at # # http://www.apache.org/licenses/LICENSE-2.0 # # or in the "license" file accompanying this file. This file is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS # OF ANY KIND, either express or implied. See the License for the # specific language governing permissions and limitations under the # License. from ask_sdk_core.dispatch_components import (AbstractRequestInterceptor, AbstractResponseInterceptor) from ask_sdk_core.handler_input import HandlerInput from ask_sdk_model import Response from aws_lambda_powertools.logging import Logger from aws_lambda_powertools.tracing import Tracer # Logging/tracing configuration logger = Logger(service="Logger interceptor") tracer = Tracer(service="Logger interceptor") class RequestLoggerInterceptor(AbstractRequestInterceptor): """Request Interceptor for logging purposes.""" def process(self, handler_input): """Log the request envelope.""" # type: (HandlerInput) -> None logger.debug({"Request Envelope": handler_input.request_envelope}) class ResponseLoggerInterceptor(AbstractResponseInterceptor): """Response Interceptor for logging purposes.""" def process(self, handler_input, response): """Log the response envelope.""" # type: (HandlerInput, Response) -> None logger.debug({"Response": response})

35.844444

74

0.733416

188

1,613

6.207447

0.489362

0.051414

0.025707

0.023993

0.094259

0

0.006079

0.184129

1,613

44

75

36.659091

0.880699

0.466832

0

0.072816

0

1

0.142857

false

0

0.357143

0

0.642857

0

null

0

null

0

1

0

1

0

2

bcfea4dd69268c2de2af8fbd371a1fc8ba6ee819

1,506

py

Python

rankings/migrations/0033_auto_20190505_1042.py

rubenvanerk/lifesavingrankings

7d3ed8d5011d9de16e4dd8bffe89faa506041350

[ "MIT" ]

5

2018-06-04T05:12:18.000Z

2021-01-24T13:37:41.000Z

rankings/migrations/0033_auto_20190505_1042.py

rubenvanerk/lifesavingrankings

7d3ed8d5011d9de16e4dd8bffe89faa506041350

[ "MIT" ]

39

2019-12-07T16:07:05.000Z

2021-05-09T10:57:48.000Z

rankings/migrations/0033_auto_20190505_1042.py

rubenvanerk/lifesavingrankings

7d3ed8d5011d9de16e4dd8bffe89faa506041350

[ "MIT" ]

null

# Generated by Django 2.1.5 on 2019-05-05 08:42 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('rankings', '0032_individualresult_round'), ] operations = [ migrations.AlterModelOptions( name='individualresult', options={'ordering': ['time']}, ), migrations.AlterField( model_name='athlete', name='first_name', field=models.CharField(blank=True, default=None, max_length=20, null=True), ), migrations.AlterField( model_name='athlete', name='last_name', field=models.CharField(blank=True, default=None, max_length=30, null=True), ), migrations.AlterField( model_name='athlete', name='nationalities', field=models.ManyToManyField(blank=True, default=None, related_name='nationalities', to='rankings.Nationality'), ), migrations.AlterField( model_name='athlete', name='year_of_birth', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='individualresult', name='extra_analysis_time_by', field=models.ForeignKey(blank=True, default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ), ]

33.466667

147

0.61421

152

1,506

5.953947

0.421053

0.110497

0.138122

0.160221

0.352486

0.223204

0.117127

0

0.020871

0.26826

1,506

44

148

34.227273

0.800363

0.02988

0

0.394737

1

0

0.141878

0.033585

0

1

0

false

0

0.078947

0

0.157895

0

null

0

1

0

1

0

null

0

2

4c14e411a1e09ca88b97eac85b5439f49ef56afb

368

py

Python

src/bci4als/__init__.py

Chgabri2/bci4als

cfa8bfb6190389e473100cc37281c304b6a3bc4a

[ "MIT" ]

3

2021-12-15T09:57:51.000Z

2022-01-26T09:52:39.000Z

src/bci4als/__init__.py

Chgabri2/bci4als

cfa8bfb6190389e473100cc37281c304b6a3bc4a

[ "MIT" ]

3

2020-12-25T14:50:44.000Z

2021-03-16T14:08:34.000Z

src/bci4als/__init__.py

Chgabri2/bci4als

cfa8bfb6190389e473100cc37281c304b6a3bc4a

[ "MIT" ]

6

2021-11-10T19:43:26.000Z

2021-12-23T18:02:57.000Z

"""Top-level package for BCI-4-ALS.""" import importlib_metadata __author__ = """Evyatar Luvaton, Noam Siegel""" __email__ = 'noamsi@post.bgu.ac.il' __version__ = importlib_metadata.version('bci4als') from bci4als.experiments.offline import OfflineExperiment from bci4als.experiments.online import OnlineExperiment from .eeg import EEG from .ml_model import MLModel

30.666667

57

0.80163

47

368

5.957447

0.702128

0.121429

0.157143

0

0.012048

0.097826

368

11

58

33.454545

0.831325

0.086957

0

0.169697

0.063636

0

1

0

false

0

0.75

0

0.75

0

null

0

null

0

1

0

1

0

2

4c3616d754ebfd2e7013ed646a2882a86d60cdfb

3,154

py

Python

ooobuild/lo/sheet/x_sheet_auditing.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/lo/sheet/x_sheet_auditing.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/lo/sheet/x_sheet_auditing.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

# coding: utf-8 # # Copyright 2022 :Barry-Thomas-Paul: Moss # # 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. # # Interface Class # this is a auto generated file generated by Cheetah # Libre Office Version: 7.3 # Namespace: com.sun.star.sheet import typing from abc import abstractmethod from ..uno.x_interface import XInterface as XInterface_8f010a43 if typing.TYPE_CHECKING: from ..table.cell_address import CellAddress as CellAddress_ae5f0b56 class XSheetAuditing(XInterface_8f010a43): """ provides methods to access auditing (detective) features in a spreadsheet. See Also: `API XSheetAuditing <https://api.libreoffice.org/docs/idl/ref/interfacecom_1_1sun_1_1star_1_1sheet_1_1XSheetAuditing.html>`_ """ __ooo_ns__: str = 'com.sun.star.sheet' __ooo_full_ns__: str = 'com.sun.star.sheet.XSheetAuditing' __ooo_type_name__: str = 'interface' __pyunointerface__: str = 'com.sun.star.sheet.XSheetAuditing' @abstractmethod def clearArrows(self) -> None: """ removes all auditing arrows from the spreadsheet. """ @abstractmethod def hideDependents(self, aPosition: 'CellAddress_ae5f0b56') -> bool: """ removes arrows for one level of dependents of a formula cell. If the method is executed again for the same cell, the previous level of dependent cells is removed. """ @abstractmethod def hidePrecedents(self, aPosition: 'CellAddress_ae5f0b56') -> bool: """ removes arrows for one level of precedents of a formula cell. If the method is executed again for the same cell, the previous level of dependent cells is removed. """ @abstractmethod def showDependents(self, aPosition: 'CellAddress_ae5f0b56') -> bool: """ draws arrows between a formula cell and its dependents. If the method is executed again for the same cell, the next level of dependent cells is marked. """ @abstractmethod def showErrors(self, aPosition: 'CellAddress_ae5f0b56') -> bool: """ draws arrows between a formula cell containing an error and the cells causing the error. """ @abstractmethod def showInvalid(self) -> bool: """ marks all cells containing invalid values. """ @abstractmethod def showPrecedents(self, aPosition: 'CellAddress_ae5f0b56') -> bool: """ draws arrows between a formula cell and its precedents. If the method is executed again for the same cell, the next level of dependent cells is marked. """ __all__ = ['XSheetAuditing']

37.105882

132

0.693722

399

3,154

5.370927

0.41604

0.05553

0.055996

0.074662

0.371442

0.331311

0

0.022643

0.229867

3,154

84

133

37.547619

0.859613

0.548827

0

0.28

0

0.179376

0.057192

0

1

0.28

false

0

0.16

0

0.64

0

null

0

null

0

1

0

1

0

2

4c548f08a22c9f738e8832ce62e66653a4a2e6e6

12,736

py

Python

tests/plugins/test_excel.py

hbruch/frictionless-py

0f97d33c8fea7ef60cf8458b72eb0f54f4649798

[ "MIT" ]

null

tests/plugins/test_excel.py

hbruch/frictionless-py

0f97d33c8fea7ef60cf8458b72eb0f54f4649798

[ "MIT" ]

null

tests/plugins/test_excel.py

hbruch/frictionless-py

0f97d33c8fea7ef60cf8458b72eb0f54f4649798

[ "MIT" ]

null

import io import pytest from decimal import Decimal from datetime import datetime from frictionless import Resource, Layout, FrictionlessException, helpers from frictionless.plugins.excel import ExcelDialect BASE_URL = "https://raw.githubusercontent.com/frictionlessdata/tabulator-py/master/%s" # Read def test_xlsx_parser_table(): source = io.open("data/table.xlsx", mode="rb") with Resource(source, format="xlsx") as resource: assert resource.header == ["id", "name"] assert resource.read_rows() == [ {"id": 1.0, "name": "english"}, {"id": 2.0, "name": "中国人"}, ] @pytest.mark.vcr def test_xlsx_parser_remote(): source = BASE_URL % "data/table.xlsx" with Resource(source) as resource: assert resource.header == ["id", "name"] assert resource.read_rows() == [ {"id": 1.0, "name": "english"}, {"id": 2.0, "name": "中国人"}, ] def test_xlsx_parser_sheet_by_index(): source = "data/sheet2.xlsx" dialect = ExcelDialect(sheet=2) with Resource(source, dialect=dialect) as resource: assert resource.header == ["id", "name"] assert resource.read_rows() == [ {"id": 1.0, "name": "english"}, {"id": 2.0, "name": "中国人"}, ] @pytest.mark.skip def test_xlsx_parser_format_error_sheet_by_index_not_existent(): source = "data/sheet2.xlsx" dialect = ExcelDialect(sheet=3) resource = Resource(source, dialect=dialect) with pytest.raises(FrictionlessException) as excinfo: resource.open() error = excinfo.value.error assert error.code == "format-error" assert error.note == 'Excel document "data/sheet2.xlsx" does not have a sheet "3"' def test_xlsx_parser_sheet_by_name(): source = "data/sheet2.xlsx" dialect = ExcelDialect(sheet="Sheet2") with Resource(source, dialect=dialect) as resource: assert resource.header == ["id", "name"] assert resource.read_rows() == [ {"id": 1.0, "name": "english"}, {"id": 2.0, "name": "中国人"}, ] @pytest.mark.skip def test_xlsx_parser_format_errors_sheet_by_name_not_existent(): source = "data/sheet2.xlsx" dialect = ExcelDialect(sheet="bad") resource = Resource(source, dialect=dialect) with pytest.raises(FrictionlessException) as excinfo: resource.open() error = excinfo.value.error assert error.code == "format-error" assert error.note == 'Excel document "data/sheet2.xlsx" does not have a sheet "bad"' def test_xlsx_parser_merged_cells(): source = "data/merged-cells.xlsx" layout = Layout(header=False) with Resource(source, layout=layout) as resource: assert resource.read_rows() == [ {"field1": "data", "field2": None}, ] def test_xlsx_parser_merged_cells_fill(): source = "data/merged-cells.xlsx" dialect = ExcelDialect(fill_merged_cells=True) layout = Layout(header=False) with Resource(source, dialect=dialect, layout=layout) as resource: assert resource.read_rows() == [ {"field1": "data", "field2": "data"}, {"field1": "data", "field2": "data"}, {"field1": "data", "field2": "data"}, ] def test_xlsx_parser_adjust_floating_point_error(): source = "data/adjust-floating-point-error.xlsx" dialect = ExcelDialect( fill_merged_cells=False, preserve_formatting=True, adjust_floating_point_error=True, ) layout = Layout(skip_fields=["<blank>"]) with pytest.warns(UserWarning): with Resource(source, dialect=dialect, layout=layout) as resource: assert resource.read_rows()[1].cells[2] == 274.66 def test_xlsx_parser_adjust_floating_point_error_default(): source = "data/adjust-floating-point-error.xlsx" dialect = ExcelDialect(preserve_formatting=True) layout = Layout(skip_fields=["<blank>"]) with pytest.warns(UserWarning): with Resource(source, dialect=dialect, layout=layout) as resource: assert resource.read_rows()[1].cells[2] == 274.65999999999997 @pytest.mark.skipif(helpers.is_platform("windows"), reason="It doesn't work for Windows") def test_xlsx_parser_preserve_formatting(): source = "data/preserve-formatting.xlsx" dialect = ExcelDialect(preserve_formatting=True) layout = Layout(header_rows=[1]) with Resource(source, dialect=dialect, layout=layout, infer_type="any") as resource: assert resource.read_rows() == [ { # general "empty": None, # numeric "0": "1001", "0.00": "1000.56", "0.0000": "1000.5577", "0.00000": "1000.55770", "0.0000#": "1000.5577", # temporal "m/d/yy": "5/20/40", "d-mmm": "20-May", "mm/dd/yy": "05/20/40", "mmddyy": "052040", "mmddyyam/pmdd": "052040AM20", } ] def test_xlsx_parser_preserve_formatting_percentage(): source = "data/preserve-formatting-percentage.xlsx" dialect = ExcelDialect(preserve_formatting=True) with Resource(source, dialect=dialect) as resource: assert resource.read_rows() == [ {"col1": 123, "col2": "52.00%"}, {"col1": 456, "col2": "30.00%"}, {"col1": 789, "col2": "6.00%"}, ] def test_xlsx_parser_preserve_formatting_number_multicode(): source = "data/number-format-multicode.xlsx" dialect = ExcelDialect(preserve_formatting=True) layout = Layout(skip_fields=["<blank>"]) with Resource(source, dialect=dialect, layout=layout) as resource: assert resource.read_rows() == [ {"col1": Decimal("4.5")}, {"col1": Decimal("-9.032")}, {"col1": Decimal("15.8")}, ] @pytest.mark.vcr def test_xlsx_parser_workbook_cache(): source = BASE_URL % "data/special/sheets.xlsx" for sheet in ["Sheet1", "Sheet2", "Sheet3"]: dialect = ExcelDialect(sheet=sheet, workbook_cache={}) with Resource(source, dialect=dialect) as resource: assert len(dialect.workbook_cache) == 1 assert resource.read_rows() def test_xls_parser(): with Resource("data/table.xls") as table: assert table.header == ["id", "name"] assert table.read_rows() == [ {"id": 1, "name": "english"}, {"id": 2, "name": "中国人"}, ] @pytest.mark.vcr def test_xls_parser_remote(): with Resource(BASE_URL % "data/table.xls") as resource: assert resource.header == ["id", "name"] assert resource.read_rows() == [ {"id": 1, "name": "english"}, {"id": 2, "name": "中国人"}, ] def test_xls_parser_sheet_by_index(): source = "data/sheet2.xls" dialect = ExcelDialect(sheet=2) with Resource(source, dialect=dialect) as resource: assert resource.header == ["id", "name"] assert resource.read_rows() == [ {"id": 1, "name": "english"}, {"id": 2, "name": "中国人"}, ] @pytest.mark.skip def test_xls_parser_sheet_by_index_not_existent(): source = "data/sheet2.xls" dialect = ExcelDialect(sheet=3) with pytest.raises(FrictionlessException) as excinfo: Resource(source, dialect=dialect).open() assert 'sheet "3"' in str(excinfo.value) def test_xls_parser_sheet_by_name(): source = "data/sheet2.xls" dialect = ExcelDialect(sheet="Sheet2") with Resource(source, dialect=dialect) as resource: assert resource.header == ["id", "name"] assert resource.read_rows() == [ {"id": 1, "name": "english"}, {"id": 2, "name": "中国人"}, ] @pytest.mark.skip def test_xls_parser_sheet_by_name_not_existent(): source = "data/sheet2.xls" dialect = ExcelDialect(sheet="bad") with pytest.raises(FrictionlessException) as excinfo: Resource(source, dialect=dialect).open() assert 'sheet "bad"' in str(excinfo.value) def test_xls_parser_merged_cells(): source = "data/merged-cells.xls" layout = Layout(header=False) with Resource(source, layout=layout) as resource: assert resource.read_rows() == [ {"field1": "data", "field2": None}, {"field1": None, "field2": None}, {"field1": None, "field2": None}, ] def test_xls_parser_merged_cells_fill(): source = "data/merged-cells.xls" dialect = ExcelDialect(fill_merged_cells=True) layout = Layout(header=False) with Resource(source, dialect=dialect, layout=layout) as resource: assert resource.read_rows() == [ {"field1": "data", "field2": "data"}, {"field1": "data", "field2": "data"}, {"field1": "data", "field2": "data"}, ] def test_xls_parser_with_boolean(): with Resource("data/table-with-booleans.xls") as resource: assert resource.header == ["id", "boolean"] assert resource.read_rows() == [ {"id": 1, "boolean": True}, {"id": 2, "boolean": False}, ] def test_xlsx_parser_merged_cells_boolean(): source = "data/merged-cells-boolean.xls" layout = Layout(header=False) with Resource(source, layout=layout) as resource: assert resource.read_rows() == [ {"field1": True, "field2": None}, {"field1": None, "field2": None}, {"field1": None, "field2": None}, ] def test_xlsx_parser_merged_cells_fill_boolean(): source = "data/merged-cells-boolean.xls" dialect = ExcelDialect(fill_merged_cells=True) layout = Layout(header=False) with Resource(source, dialect=dialect, layout=layout) as resource: assert resource.read_rows() == [ {"field1": True, "field2": True}, {"field1": True, "field2": True}, {"field1": True, "field2": True}, ] def test_xls_parser_with_ints_floats_dates(): source = "data/table-with-ints-floats-dates.xls" with Resource(source) as resource: assert resource.header == ["Int", "Float", "Date"] assert resource.read_rows() == [ {"Int": 2013, "Float": Decimal("3.3"), "Date": datetime(2009, 8, 16)}, {"Int": 1997, "Float": Decimal("5.6"), "Date": datetime(2009, 9, 20)}, {"Int": 1969, "Float": Decimal("11.7"), "Date": datetime(2012, 8, 23)}, ] @pytest.mark.vcr def test_xlsx_parser_fix_for_2007_xls(): source = "https://ams3.digitaloceanspaces.com/budgetkey-files/spending-reports/2018-3-משרד התרבות והספורט-לשכת הפרסום הממשלתית-2018-10-22-c457.xls" with Resource(source, format="xlsx") as resource: assert len(resource.read_rows()) > 10 # Write @pytest.mark.skipif(helpers.is_platform("windows"), reason="It doesn't work for Windows") def test_xlsx_parser_write(tmpdir): source = Resource("data/table.csv") target = Resource(str(tmpdir.join("table.xlsx")), trusted=True) source.write(target) with target: assert target.header == ["id", "name"] assert target.read_rows() == [ {"id": 1, "name": "english"}, {"id": 2, "name": "中国人"}, ] @pytest.mark.skipif(helpers.is_platform("windows"), reason="It doesn't work for Windows") def test_xlsx_parser_write_sheet_name(tmpdir): dialect = ExcelDialect(sheet="sheet") source = Resource("data/table.csv") target = Resource(str(tmpdir.join("table.xlsx")), dialect=dialect, trusted=True) source.write(target) with target: assert target.header == ["id", "name"] assert target.read_rows() == [ {"id": 1, "name": "english"}, {"id": 2, "name": "中国人"}, ] @pytest.mark.skipif(helpers.is_platform("windows"), reason="It doesn't work for Windows") def test_xls_parser_write(tmpdir): source = Resource("data/table.csv") target = Resource(str(tmpdir.join("table.xls")), trusted=True) source.write(target) with target: assert target.header == ["id", "name"] assert target.read_rows() == [ {"id": 1, "name": "english"}, {"id": 2, "name": "中国人"}, ] @pytest.mark.skipif(helpers.is_platform("windows"), reason="It doesn't work for Windows") def test_xls_parser_write_sheet_name(tmpdir): dialect = ExcelDialect(sheet="sheet") source = Resource("data/table.csv") target = Resource(str(tmpdir.join("table.xls")), dialect=dialect, trusted=True) source.write(target) with target: assert target.header == ["id", "name"] assert target.read_rows() == [ {"id": 1, "name": "english"}, {"id": 2, "name": "中国人"}, ]

34.421622

151

0.611338

1,499

12,736

5.0507

0.134757

0.028662

0.046493

0.061022

0.799498

0.791969

0.755911

0.692511

0.623432

0.567693

0

0.03052

0.233354

12,736

369

152

34.514905

0.744879

0.002748

0

0.585859

0

0.003367

0.172273

0.034423

0

0.161616

1

0.104377

false

0

0.020202

0

0.124579

0

null

0

1

0

null

0

2

4c5dbd664b24a1dde1d54b1ffce013942ad4d73c

1,251

py

Python

tests/pybaseball/test_plotting.py

akern40/pybaseball

55a3e35b2dd2d4fc5c59f8d3f17bfee1364a86f3

[ "MIT" ]

650

2017-06-29T20:05:19.000Z

2022-03-31T03:27:25.000Z

tests/pybaseball/test_plotting.py

akern40/pybaseball

55a3e35b2dd2d4fc5c59f8d3f17bfee1364a86f3

[ "MIT" ]

216

2017-10-21T05:05:08.000Z

2022-03-31T04:04:53.000Z

tests/pybaseball/test_plotting.py

akern40/pybaseball

55a3e35b2dd2d4fc5c59f8d3f17bfee1364a86f3

[ "MIT" ]

214

2017-07-18T21:40:01.000Z

2022-03-29T03:19:55.000Z

import pytest import pandas as pd from pandas.testing import assert_frame_equal, assert_series_equal from pybaseball.plotting import transform_coordinates @pytest.fixture def coords(): return pd.DataFrame({"x": [1.0, 2.0, -1.0], "y": [1.0, 0.0, 10.0]}) def test_transform_coordinates_identity_scale(coords): transformed_coords = transform_coordinates(coords, scale=1) assert_series_equal(coords.x, transformed_coords.x) assert_series_equal(-coords.y, transformed_coords.y) def test_transform_coordinates(coords): transformed_coords = transform_coordinates(coords, scale=2, x_center=0, y_center=0) assert_series_equal(2 * coords.x, transformed_coords.x) assert_series_equal(-2 * coords.y, transformed_coords.y) transformed_coords = transform_coordinates(coords, scale=2, x_center=1, y_center=1) expected = pd.DataFrame({"x": [1.0, 3.0, -3.0], "y": [-1.0, 1.0, -19.0]}) assert_frame_equal(expected, transformed_coords) xc = 123.4 yc = 432.1 transformed_coords = transform_coordinates(coords, scale=0, x_center=xc, y_center=yc) assert_series_equal(pd.Series(name="x", data=3 * [xc]), transformed_coords.x) assert_series_equal(pd.Series(name="y", data=3 * [yc]), -transformed_coords.y)

37.909091

89

0.738609

190

1,251

4.621053

0.215789

0.212984

0.135535

0.168565

0.54328

0.432802

0.291572

0.223235

0.127563

0

0.042241

0.129496

1,251

32

90

39.09375

0.764004

0

0.004796

0

0.347826

1

0.130435

false

0

0.173913

0.043478

0.347826

0

null

1

0

1

0

null

0

2

4c63aabbb2299991a78620198288a1c46c57e023

8,240

py

Python

src/kbpo/sampling.py

arunchaganty/kbp-online

9f8763d8f4bfb1fb8a01f1f4f506f56625dd38d8

[ "MIT" ]

4

2017-08-09T14:05:48.000Z

2018-12-25T01:34:23.000Z

src/kbpo/sampling.py

arunchaganty/kbp-online

9f8763d8f4bfb1fb8a01f1f4f506f56625dd38d8

[ "MIT" ]

12

2017-01-19T23:18:18.000Z

2018-12-23T18:57:54.000Z

src/kbpo/sampling.py

arunchaganty/kbp-online

9f8763d8f4bfb1fb8a01f1f4f506f56625dd38d8

[ "MIT" ]

2

2017-08-08T09:48:20.000Z

2018-07-09T09:12:43.000Z

""" Generate samples for a corpus tag and for a submission. """ import json import logging import numpy as np from . import db from . import distribution from .sample_util import sample_without_replacement from .counter_utils import normalize logger = logging.getLogger(__name__) def sample_document_uniform(corpus_tag, n_samples): # Get distribution P = distribution.document_uniform(corpus_tag) # Get samples doc_ids = sample_without_replacement(P, n_samples) with db.CONN: with db.CONN.cursor() as cur: cur.execute(""" INSERT INTO sample_batch(distribution_type, corpus_tag, params) VALUES %s RETURNING id """, [('uniform', corpus_tag, json.dumps({'type':'uniform', 'with_replacement': False}),)]) batch_id, = next(cur) db.execute_values(cur, """ INSERT INTO document_sample(batch_id, doc_id) VALUES %s """, [(batch_id, doc_id) for doc_id in doc_ids]) def test_sample_document_uniform(): np.random.seed(42) tag = 'kbp2016' db.execute("""TRUNCATE sample_batch CASCADE; ALTER SEQUENCE sample_batch_id_seq RESTART; """) sample_document_uniform(tag, 20) batches = db.select("""SELECT id, submission_id, distribution_type, corpus_tag, params FROM sample_batch""") assert len(batches) == 1 batch = batches[0] assert batch.id == 1 assert batch.submission_id is None assert batch.distribution_type == "uniform" assert batch.corpus_tag == "kbp2016" assert batch.params == {"type":"uniform", "with_replacement": False} docs = db.select("""SELECT doc_id FROM document_sample WHERE batch_id=%(batch_id)s""", batch_id=batch.id) assert len(docs) == 20 def sample_document_entity(corpus_tag, n_samples, mention_table='evaluation_mention'): # Get documents seed_documents = [(row.doc_id,) for row in db.select(""" SELECT s.doc_id FROM document_sample s, document_tag d WHERE s.doc_id = d.doc_id AND d.tag = %(corpus_tag)s """, corpus_tag=corpus_tag)] # Get distribution P = distribution.document_entity(corpus_tag, seed_documents, mention_table=mention_table) # Remove seed documents. for doc_id in seed_documents: P[doc_id] = 0. P = normalize(P) # Get samples doc_ids = sample_without_replacement(P, n_samples) with db.CONN: with db.CONN.cursor() as cur: cur.execute(""" INSERT INTO sample_batch(distribution_type, corpus_tag, params) VALUES %s RETURNING id """, [('entity', corpus_tag, json.dumps({'type':'entity', 'with_replacement': False}),)]) batch_id, = next(cur) db.execute_values(cur, """ INSERT INTO document_sample(batch_id, doc_id) VALUES %s """, [(batch_id, doc_id) for doc_id in doc_ids]) def test_sample_document_entity(): tag = 'kbp2016' db.execute("""TRUNCATE sample_batch CASCADE; ALTER SEQUENCE sample_batch_id_seq RESTART; """) sample_document_uniform(tag, 20) sample_document_entity(tag, 20, mention_table="suggested_mention") batches = db.select("""SELECT id, submission_id, distribution_type, corpus_tag, params FROM sample_batch""") assert len(batches) == 2 batch = batches[1] assert batch.id == 2 assert batch.submission_id is None assert batch.distribution_type == "entity" assert batch.corpus_tag == "kbp2016" assert batch.params == {"type":"entity", "with_replacement": False} docs = db.select("""SELECT doc_id FROM document_sample WHERE batch_id=%(batch_id)s""", batch_id=batch.id) assert len(docs) == 20 # TODO: compute sample size def sample_submission(corpus_tag, submission_id, type_, n_samples): # Get distribution logger.info("Computing distributions") if type_ == "instance": P = distribution.submission_instance(corpus_tag, submission_id) elif type_ == "relation": P = distribution.submission_relation(corpus_tag, submission_id) elif type_ == "entity": P = distribution.submission_entity(corpus_tag, submission_id) elif type_ == "entity_relation": P = distribution.submission_entity_relation(corpus_tag, submission_id) else: raise ValueError("Invalid submission sampling distribution type: {}".format(type_)) # Get samples logger.info("Drawing samples") relation_mentions = sample_without_replacement(P[submission_id], n_samples) logger.info("Loading samples into batch") with db.CONN: with db.CONN.cursor() as cur: cur.execute(""" INSERT INTO sample_batch(submission_id, distribution_type, corpus_tag, params) VALUES %s RETURNING id """, [(submission_id, type_, corpus_tag, json.dumps({'submission_id':submission_id, 'type':type_, 'with_replacement': False}),)]) batch_id, = next(cur) db.execute_values(cur, """ INSERT INTO submission_sample(batch_id, submission_id, doc_id, subject, object) VALUES %s """, [(batch_id, submission_id, doc_id, db.Int4NumericRange(*subject), db.Int4NumericRange(*object_)) for doc_id, subject, object_ in relation_mentions]) return batch_id def test_sample_submission_instance(): tag = 'kbp2016' submission_id = 1 # patterns db.execute("""TRUNCATE sample_batch CASCADE; ALTER SEQUENCE sample_batch_id_seq RESTART; """) sample_submission(tag, submission_id, 'instance', 20) batches = db.select("""SELECT id, submission_id, distribution_type, corpus_tag, params FROM sample_batch""") assert len(batches) == 1 batch = batches[0] assert batch.id == 1 assert batch.submission_id == submission_id assert batch.distribution_type == "instance" assert batch.corpus_tag == "kbp2016" assert batch.params == {"submission_id": submission_id, "type":"instance", "with_replacement": False} relation_mentions = db.select("""SELECT doc_id, subject, object FROM submission_sample WHERE batch_id=%(batch_id)s AND submission_id=%(submission_id)s""", batch_id=batch.id, submission_id=submission_id) assert len(relation_mentions) == 20 def test_sample_submission_relation(): tag = 'kbp2016' submission_id = 1 # patterns db.execute("""TRUNCATE sample_batch CASCADE; ALTER SEQUENCE sample_batch_id_seq RESTART; """) sample_submission(tag, submission_id, 'relation', 20) batches = db.select("""SELECT id, submission_id, distribution_type, corpus_tag, params FROM sample_batch""") assert len(batches) == 1 batch = batches[0] assert batch.id == 1 assert batch.submission_id == submission_id assert batch.distribution_type == "relation" assert batch.corpus_tag == "kbp2016" assert batch.params == {"submission_id": submission_id, "type":"relation", "with_replacement": False} relation_mentions = db.select("""SELECT doc_id, subject, object FROM submission_sample WHERE batch_id=%(batch_id)s AND submission_id=%(submission_id)s""", batch_id=batch.id, submission_id=submission_id) assert len(relation_mentions) == 20 def test_sample_submission_entity(): tag = 'kbp2016' submission_id = 1 # patterns db.execute("""TRUNCATE sample_batch CASCADE; ALTER SEQUENCE sample_batch_id_seq RESTART; """) sample_submission(tag, submission_id, 'entity', 20) batches = db.select("""SELECT id, submission_id, distribution_type, corpus_tag, params FROM sample_batch""") assert len(batches) == 1 batch = batches[0] assert batch.id == 1 assert batch.submission_id == submission_id assert batch.distribution_type == "entity" assert batch.corpus_tag == "kbp2016" assert batch.params == {"submission_id": submission_id, "type":"entity", "with_replacement": False} relation_mentions = db.select("""SELECT doc_id, subject, object FROM submission_sample WHERE batch_id=%(batch_id)s AND submission_id=%(submission_id)s""", batch_id=batch.id, submission_id=submission_id) assert len(relation_mentions) == 20

41.827411

206

0.678883

1,042

8,240

5.107486

0.104607

0.110485

0.063134

0.058625

0.729613

0.685269

0.6708

0.655393

0.636415

0

0.013055

0.20983

8,240

196

207

42.040816

0.804331

0.028277

0

0.576159

1

0

0.358037

0.045568

0

0.005102

0.231788

1

0.05298

false

0

0.046358

0

0.10596

0

null

0

1

0

1

0

null

0

2

4c65364049fc0c809f78550c6a6143be6864d0e0

704

py

Python

terrascript/heroku/r.py

vfoucault/python-terrascript

fe82b3d7e79ffa72b7871538f999828be0a115d0

[ "BSD-2-Clause" ]

null

terrascript/heroku/r.py

vfoucault/python-terrascript

fe82b3d7e79ffa72b7871538f999828be0a115d0

[ "BSD-2-Clause" ]

null

terrascript/heroku/r.py

vfoucault/python-terrascript

fe82b3d7e79ffa72b7871538f999828be0a115d0

[ "BSD-2-Clause" ]

null

from terrascript import _resource class heroku_addon(_resource): pass addon = heroku_addon class heroku_addon_attachment(_resource): pass addon_attachment = heroku_addon_attachment class heroku_app(_resource): pass app = heroku_app class heroku_app_feature(_resource): pass app_feature = heroku_app_feature class heroku_cert(_resource): pass cert = heroku_cert class heroku_domain(_resource): pass domain = heroku_domain class heroku_drain(_resource): pass drain = heroku_drain class heroku_pipeline(_resource): pass pipeline = heroku_pipeline class heroku_pipeline_coupling(_resource): pass pipeline_coupling = heroku_pipeline_coupling class heroku_space(_resource): pass space = heroku_space

22

47

0.838068

93

704

5.913978

0.182796

0.2

0.058182

0

0.105114

704

31

48

22.709677

0.873016

0

1

0

false

0.47619

0.047619

0

0.52381

0

null

0

null

0

1

0

1

0

2

d5c46687c0b6853b7ffcf1ac3a09bb36dad4dd21

889

py

Python

batman/symlinks.py

RealGeeks/batman

ac61d193cbc6cc736f61ae8cf5e933a576b50698

[ "MIT" ]

1

2018-01-09T20:50:49.000Z

batman/symlinks.py

RealGeeks/batman

ac61d193cbc6cc736f61ae8cf5e933a576b50698

[ "MIT" ]

1

2021-03-25T21:27:26.000Z

batman/symlinks.py

RealGeeks/batman

ac61d193cbc6cc736f61ae8cf5e933a576b50698

[ "MIT" ]

1

2019-12-26T12:25:23.000Z

import os from path_utils import normalize_path def ensure(links, basedir): for target, link_name in links.iteritems(): target, link_name = \ normalize_path(target, basedir), \ normalize_path(link_name, basedir) if os.path.exists(link_name) and not os.path.islink(link_name): # Non-link file exists. Delete but warn print "WARNING: Deleting non-link file {0}".format(link_name) os.remove(link_name) if os.path.islink(link_name) and os.readlink(link_name) != target: # Link exists but points to the wrong place os.unlink(link_name) if not os.path.islink(link_name): print "creating link at {link_name} pointing to {target}".format( link_name=link_name, target=target ) os.symlink(target, link_name)

38.652174

77

0.613048

117

889

4.495727

0.367521

0.228137

0.079848

0.091255

0.125475

0.087452

0

0.001603

0.298088

889

22

78

40.409091

0.841346

0.089989

0

0.104218

0

null

0

0.111111

null

0.111111

0

null

1

0

null

0

1

0

2