xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

c77727d2ca5c83085d1d114016352896a3a7e5aa

1,226

py

Python

igvc_ws/src/igvc_nav/src/path_planner/open_list.py

SoonerRobotics/igvc_software_2020

05509c2f68b6c5a96f325a18ca86c3a0c00e86e5

[ "MIT" ]

3

2019-07-14T20:20:53.000Z

2020-05-07T03:41:25.000Z

igvc_ws/src/igvc_nav/src/path_planner/open_list.py

SoonerRobotics/igvc_software_2020

05509c2f68b6c5a96f325a18ca86c3a0c00e86e5

[ "MIT" ]

13

2019-11-12T02:57:54.000Z

2020-03-17T17:04:22.000Z

igvc_ws/src/igvc_nav/src/path_planner/open_list.py

SoonerRobotics/igvc_software_2020

05509c2f68b6c5a96f325a18ca86c3a0c00e86e5

[ "MIT" ]

2

2020-02-26T01:12:27.000Z

2020-02-26T19:01:53.000Z

import heapq from node import Node class OpenList: def __init__(self): """ Initialize the open list """ # Set up an empty min heap using list and heapq self.min_heap = [] heapq.heapify(self.min_heap) def update(self, node): """ Update a node entry in the open list """ if node in self.min_heap: self.delete(node) self.insert(node) def insert(self, node): """ Add a node to the queue """ # Push the node to the heap heapq.heappush(self.min_heap, node) def delete(self, node): """ Delete a node from the open list """ if node in self.min_heap: self.min_heap.remove(node) heapq.heapify(self.min_heap) def top_key(self): """ Get the top value in the heap """ if len(self.min_heap) == 0: return (Node.INFINITY, Node.INFINITY) # The top key will be the lowest priority return min(self.min_heap).key def top(self): """ Get the top value from the list """ if len(self.min_heap) == 0: return None return self.min_heap[0] def contains(self, val): return val in self.min_heap

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c783ab08451f7b76fe4ca60a588bd0352bef5e96

132

py

Python

repoassist/__main__.py

DamianPala/sicloudman

c86728467e08f712dbc72116d1db4689d713abd5

[ "MIT" ]

null

repoassist/__main__.py

DamianPala/sicloudman

c86728467e08f712dbc72116d1db4689d713abd5

[ "MIT" ]

null

repoassist/__main__.py

DamianPala/sicloudman

c86728467e08f712dbc72116d1db4689d713abd5

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import sys from .cli import main if __name__ == '__main__': sys.exit(main())

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c78c22712edefb26f177a12bc84bbb4633ba651e

312

py

Python

colibris/commands/runworker.py

AMecea/colibris

068b7cbc4ed328dd9f3b4c40c5227b026589b028

[ "BSD-3-Clause" ]

6

2019-06-22T19:36:10.000Z

2021-11-16T08:07:21.000Z

colibris/commands/runworker.py

AMecea/colibris

068b7cbc4ed328dd9f3b4c40c5227b026589b028

[ "BSD-3-Clause" ]

34

2019-07-07T18:01:41.000Z

2020-11-01T16:14:58.000Z

colibris/commands/runworker.py

AMecea/colibris

068b7cbc4ed328dd9f3b4c40c5227b026589b028

[ "BSD-3-Clause" ]

2

2020-09-01T13:07:17.000Z

2021-07-29T12:16:29.000Z

import logging from colibris import taskqueue from .base import BaseCommand logger = logging.getLogger(__name__) class RunWorkerCommand(BaseCommand): def add_arguments(self, parser): taskqueue.add_worker_arguments(parser) def execute(self, options): taskqueue.run_worker(options)

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c79235f0ce325709ab489775fdb275b942b63ef1

1,600

py

Python

Anemone/__init__.py

Winnak/Anemone

1ae72bf2500c262e3cdd57f697a5c8bc38e851e3

[ "MIT" ]

5

2016-04-24T21:10:28.000Z

2021-09-29T20:26:14.000Z

Anemone/__init__.py

Winnak/Anemone

1ae72bf2500c262e3cdd57f697a5c8bc38e851e3

[ "MIT" ]

null

Anemone/__init__.py

Winnak/Anemone

1ae72bf2500c262e3cdd57f697a5c8bc38e851e3

[ "MIT" ]

null

""" The main import stuff script """ # pylint: disable=C0103 # disabling C0103: Invalid constant name "app", to be consistent with flask apps. import os from flask import Flask from apscheduler.schedulers.background import BackgroundScheduler app = Flask(__name__) app.config.from_pyfile("../application.cfg", False) schedule = BackgroundScheduler() schedule.start() #TODO: restart unfinshed jobs # TODO: find a better place for this @app.context_processor def utility_processor(): """ custom funcions for jinja """ def get_status_icon(statuscode): """ returns the proper icon for the status code """ def status_switch(x): """ switch case for status codes """ return { 0 : "fa fa-circle", 1 : "fa fa-check-circle", 2 : "fa fa-exclamation-circle", 3 : "fa fa-times-circle", 4 : "fa fa-cog fa-spin", 5 : "fa fa-clock-o" }.get(x, 0) return status_switch(statuscode) return dict(get_status_icon=get_status_icon) # pylint: disable=C0413 # Import should be placed at the top of the module # pylint has been disabled here because of how flask recommends maintaining a project import Anemone.views.projects import Anemone.views.dashboard import Anemone.views.jobs import Anemone.views.login import Anemone.views.configuration import Anemone.views.namegen import Anemone.views.health from Anemone.models import ProjectJSONEncoder app.json_encoder = ProjectJSONEncoder from Anemone.githandling import setup_schedule setup_schedule()

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c7bbc6df969481e0cffeb7834bd31f45f59d17cd

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py

Python

TrackPropagation/SteppingHelixPropagator/python/SteppingHelixPropagatorHLT_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

TrackPropagation/SteppingHelixPropagator/python/SteppingHelixPropagatorHLT_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

TrackPropagation/SteppingHelixPropagator/python/SteppingHelixPropagatorHLT_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms import TrackPropagation.SteppingHelixPropagator.SteppingHelixPropagatorAny_cfi SteppingHelixPropagatorL2Any = TrackPropagation.SteppingHelixPropagator.SteppingHelixPropagatorAny_cfi.SteppingHelixPropagatorAny.clone() import TrackPropagation.SteppingHelixPropagator.SteppingHelixPropagatorAlong_cfi SteppingHelixPropagatorL2Along = TrackPropagation.SteppingHelixPropagator.SteppingHelixPropagatorAlong_cfi.SteppingHelixPropagatorAlong.clone() import TrackPropagation.SteppingHelixPropagator.SteppingHelixPropagatorOpposite_cfi SteppingHelixPropagatorL2Opposite = TrackPropagation.SteppingHelixPropagator.SteppingHelixPropagatorOpposite_cfi.SteppingHelixPropagatorOpposite.clone() SteppingHelixPropagatorL2Any.ComponentName = 'SteppingHelixPropagatorL2Any' SteppingHelixPropagatorL2Any.useTuningForL2Speed = True SteppingHelixPropagatorL2Along.ComponentName = 'SteppingHelixPropagatorL2Along' SteppingHelixPropagatorL2Along.useTuningForL2Speed = True SteppingHelixPropagatorL2Opposite.ComponentName = 'SteppingHelixPropagatorL2Opposite' SteppingHelixPropagatorL2Opposite.useTuningForL2Speed = True

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c7bf1cafbc2455a041ae7e51958886c2c9a572e5

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py

Python

mime_types/__init__.py

nuxeo-cps/pre-svn-reorg--PortalTransforms

75e9a0c469ee4d967e2ad360b4f2ecd73136da46

[ "BSD-3-Clause" ]

null

mime_types/__init__.py

nuxeo-cps/pre-svn-reorg--PortalTransforms

75e9a0c469ee4d967e2ad360b4f2ecd73136da46

[ "BSD-3-Clause" ]

null

mime_types/__init__.py

nuxeo-cps/pre-svn-reorg--PortalTransforms

75e9a0c469ee4d967e2ad360b4f2ecd73136da46

[ "BSD-3-Clause" ]

null

# $Id$ from Products.PortalTransforms.interfaces import iclassifier from Products.PortalTransforms.MimeTypeItem import MimeTypeItem, \ MimeTypeException from types import InstanceType import re class text_plain(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "Plain Text" mimetypes = ('text/plain',) extensions = ('txt',) binary = 0 class text_structured(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "Structured Text" mimetypes = ('text/structured',) extensions = ('stx',) binary = 0 class text_rest(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "reST" mimetypes = ("text/x-rst", "text/restructured",) extensions = ("rst", "rest", "restx") #txt? binary = 0 class text_python(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "python" mimetypes = ("text/python-source", "text/x-python",) extensions = ("py",) binary = 0 class application_rtf(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = 'rtf' mimetypes = ('application/rtf',) extensions = ('rtf',) binary = 1 class application_msword(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "Microsoft Word Document" mimetypes = ('application/msword',) extensions = ('doc',) binary = 1 class application_msexcel(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "Microsoft Excel Document" mimetypes = ('application/vnd.ms-excel',) extensions = ('xls',) binary = 1 class application_mspowerpoint(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "Microsoft PowerPoint Document" mimetypes = ('application/vnd.ms-powerpoint',) extensions = ('ppt',) binary = 1 class application_docbook(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "DocBook XML Document" mimetypes = ('application/docbook+xml',) extensions = ('doc.xml', 'docb.xml', 'docb',) binary = 0 class application_writer(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 1.x Writer Document" mimetypes = ('application/vnd.sun.xml.writer',) extensions = ('sxw',) binary = 1 class application_writer_template(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 1.x Writer Template" mimetypes = ('application/vnd.sun.xml.writer.template',) extensions = ('stw',) binary = 1 class application_impress(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 1.x Impress Document" mimetypes = ('application/vnd.sun.xml.impress',) extensions = ('sxi',) binary = 1 class application_impress_template(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 1.x Impress Template" mimetypes = ('application/vnd.sun.xml.impress.template',) extensions = ('sti',) binary = 1 class application_calc(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 1.x Calc Document" mimetypes = ('application/vnd.sun.xml.calc',) extensions = ('sxc',) binary = 1 class application_calc_template(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 1.x Calc Template" mimetypes = ('application/vnd.sun.xml.calc.template',) extensions = ('stc',) binary = 1 class application_draw(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 1.x Draw Document" mimetypes = ('application/vnd.sun.xml.draw',) extensions = ('sxd',) binary = 1 class application_draw_template(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 1.x Draw Template" mimetypes = ('application/vnd.sun.xml.draw.template',) extensions = ('std',) binary = 1 class application_opendocument_calc(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 2.x Calc Document" mimetypes = ('application/vnd.oasis.opendocument.spreadsheet',) extensions = ('ods',) binary = 1 class application_opendocument_calc_template(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 2.x Calc Template" mimetypes = ('application/vnd.oasis.opendocument.spreadsheet-template',) extensions = ('ots',) binary = 1 class application_opendocument_writer(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 2.x Writer Document" mimetypes = ('application/vnd.oasis.opendocument.text',) extensions = ('odt',) binary = 1 class application_opendocument_writer_template(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 2.x Writer Template" mimetypes = ('application/vnd.oasis.opendocument.text-template',) extensions = ('ott',) binary = 1 class application_opendocument_impress(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 2.x Impress Document" mimetypes = ('application/vnd.oasis.opendocument.presentation',) extensions = ('odp',) binary = 1 class application_opendocument_impress_template(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 2.x Impress Template" mimetypes = ('application/vnd.oasis.opendocument.presentation-template',) extensions = ('otp',) binary = 1 class application_opendocument_graphics(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 2.x Draw Document" mimetypes = ('application/vnd.oasis.opendocument.graphics',) extensions = ('odg',) binary = 1 class application_opendocument_graphics_template(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "OpenOffice.org 2.x Draw Template" mimetypes = ('application/vnd.oasis.opendocument.graphics-template',) extensions = ('otg',) binary = 1 class text_xml(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ + (iclassifier,) __name__ = "Extensible Markup Language" mimetypes = ('text/xml',) extensions = ('xml',) binary = 0 def classify(self, data): m = re.search('<?xml.*?>', data) if m: return 1 # True return None # False class application_octet_stream(MimeTypeItem): """we need to be sure this one exists""" __name__ = "Octet Stream" mimetypes = ('application/octet-stream',) binary = 1 extensions = () class application_x_gtar(MimeTypeItem): __implements__ = MimeTypeItem.__implements__ __name__ = "application/x-gtar" mimetypes = ('application/x-gtar',) binary = 1 extensions = ('tar.gz', 'tgz', ) # TODO: this list should be automagically computed using introspection. reg_types = [ text_plain, application_msword, application_msexcel, application_mspowerpoint, application_docbook, application_writer, application_writer_template, application_impress, application_impress_template, application_calc, application_calc_template, application_draw, application_draw_template, application_opendocument_writer, application_opendocument_writer_template, application_opendocument_impress, application_opendocument_impress_template, application_opendocument_calc, application_opendocument_calc_template, application_opendocument_graphics, application_opendocument_graphics_template, text_xml, text_structured, text_rest, text_python, application_octet_stream, application_rtf, application_x_gtar, ] import mimetypes as pymimetypes def initialize(registry): for mt in reg_types: if type(mt) != InstanceType: mt = mt() registry.register(mt) #Find things that are not in the specially registered mimetypes #and add them using some default policy, none of these will impl #iclassifier for ext, mt in pymimetypes.types_map.items(): if ext[0] == '.': ext = ext[1:] try: mto = registry.lookup(mt) except MimeTypeException: # malformed MIME type continue if mto: mto = mto[0] if not ext in mto.extensions: registry.register_extension(ext, mto) mto.extensions += (ext, ) continue isBin = mt.split('/', 1)[0] != "text" registry.register(MimeTypeItem(mt, (mt,), (ext,), isBin))

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c7d9b5c1298d974acb6a23c5f8a4c88b24b93ea9

140

py

Python

exercicios/desafio 61.py

ibianco91/curso_em_video

13829b5d2e2290fcffe47ef0ab902b5e4a24a0ed

[ "MIT" ]

null

exercicios/desafio 61.py

ibianco91/curso_em_video

13829b5d2e2290fcffe47ef0ab902b5e4a24a0ed

[ "MIT" ]

null

exercicios/desafio 61.py

ibianco91/curso_em_video

13829b5d2e2290fcffe47ef0ab902b5e4a24a0ed

[ "MIT" ]

null

a = int(input('Digite o primeiro termo: ')) r = int(input('Digite a razão: ')) c = 1 while c <= 10: a +=r c +=1 print(a-r)

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c7e8d253556b5209eced317dd3d88d8d3237d6c5

2,332

py

Python

aiotdlib/api/types/notification_group_type.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

37

2021-05-04T10:41:41.000Z

2022-03-30T13:48:05.000Z

aiotdlib/api/types/notification_group_type.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

13

2021-07-17T19:54:51.000Z

2022-02-26T06:50:00.000Z

aiotdlib/api/types/notification_group_type.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

7

2021-09-22T21:27:11.000Z

2022-02-20T02:33:19.000Z

# =============================================================================== # # # # This file has been generated automatically!! Do not change this manually! # # # # =============================================================================== # from __future__ import annotations from pydantic import Field from ..base_object import BaseObject class NotificationGroupType(BaseObject): """ Describes the type of notifications in a notification group """ ID: str = Field("notificationGroupType", alias="@type") class NotificationGroupTypeCalls(NotificationGroupType): """ A group containing notifications of type notificationTypeNewCall """ ID: str = Field("notificationGroupTypeCalls", alias="@type") @staticmethod def read(q: dict) -> NotificationGroupTypeCalls: return NotificationGroupTypeCalls.construct(**q) class NotificationGroupTypeMentions(NotificationGroupType): """ A group containing notifications of type notificationTypeNewMessage and notificationTypeNewPushMessage with unread mentions of the current user, replies to their messages, or a pinned message """ ID: str = Field("notificationGroupTypeMentions", alias="@type") @staticmethod def read(q: dict) -> NotificationGroupTypeMentions: return NotificationGroupTypeMentions.construct(**q) class NotificationGroupTypeMessages(NotificationGroupType): """ A group containing notifications of type notificationTypeNewMessage and notificationTypeNewPushMessage with ordinary unread messages """ ID: str = Field("notificationGroupTypeMessages", alias="@type") @staticmethod def read(q: dict) -> NotificationGroupTypeMessages: return NotificationGroupTypeMessages.construct(**q) class NotificationGroupTypeSecretChat(NotificationGroupType): """ A group containing a notification of type notificationTypeNewSecretChat """ ID: str = Field("notificationGroupTypeSecretChat", alias="@type") @staticmethod def read(q: dict) -> NotificationGroupTypeSecretChat: return NotificationGroupTypeSecretChat.construct(**q)

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1be04ef626ecbce08f7d11a2edb1c0571d5ddd52

551

py

Python

test/unit/object/test_api_json_object.py

jayneeljariwala/box-python-sdk

39aa284c776817453e4a75533a7e0b5516c03752

[ "Apache-2.0" ]

367

2015-02-10T05:55:45.000Z

2022-03-16T23:39:58.000Z

test/unit/object/test_api_json_object.py

jayneeljariwala/box-python-sdk

39aa284c776817453e4a75533a7e0b5516c03752

[ "Apache-2.0" ]

686

2015-02-10T01:21:28.000Z

2022-03-31T11:40:22.000Z

test/unit/object/test_api_json_object.py

jayneeljariwala/box-python-sdk

39aa284c776817453e4a75533a7e0b5516c03752

[ "Apache-2.0" ]

260

2015-02-16T17:35:06.000Z

2022-03-20T17:45:28.000Z

# coding: utf-8 from __future__ import unicode_literals, absolute_import import pytest from boxsdk.object.api_json_object import APIJSONObject @pytest.fixture(params=[{'foo': 'bar'}, {'a': {'b': 'c'}}]) def api_json_object(request): return request.param, APIJSONObject(request.param) def test_len(api_json_object): dictionary, test_object = api_json_object assert len(dictionary) == len(test_object) def test_api_json_object_dict(api_json_object): dictionary, test_object = api_json_object assert dictionary == test_object

25.045455

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0.124682

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0.145038

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551

21

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null

0

1

0

null

0

1

0

1

0

3

1bf024bbfa823ab08e6718375dc4815b2cbcbe63

761

py

Python

poradnia/users/login_form.py

efefre/poradnia

8bf9c88888d538cf4d1224431355c850d31ef252

[ "MIT" ]

23

2015-07-20T01:10:52.000Z

2021-01-12T10:05:48.000Z

poradnia/users/login_form.py

efefre/poradnia

8bf9c88888d538cf4d1224431355c850d31ef252

[ "MIT" ]

710

2015-07-12T13:19:14.000Z

2022-03-29T12:38:18.000Z

poradnia/users/login_form.py

efefre/poradnia

8bf9c88888d538cf4d1224431355c850d31ef252

[ "MIT" ]

20

2015-07-21T00:45:34.000Z

2021-01-31T12:48:18.000Z

from allauth.account.forms import LoginForm from atom.ext.crispy_forms.forms import SingleButtonMixin from crispy_forms.bootstrap import PrependedText from crispy_forms.layout import Layout from django.utils.translation import ugettext as _ from django.utils.translation import ugettext_lazy as _l class CustomLoginForm(SingleButtonMixin, LoginForm): action_text = _l("Sign In") def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.fields["login"].label = _("Login") self.helper.form_class = "login-form" self.helper.layout = Layout( PrependedText("login", '<i class="fa fa-user"></i>'), PrependedText("password", '<i class="fa fa-key"></i>', type="password"), )

38.05

84

0.695138

93

761

5.494624

0.462366

0.064579

0.058708

0.101761

0.156556

0

0.177398

761

19

85

40.052632

0.816294

0

0.130092

0

1

0.0625

false

0.0625

0.375

0

0.5625

0

null

0

null

0

1

0

1

0

3

1bfc5a7ad3c2513eb7cd774542fb8ddc45810c8a

856

py

Python

Handler/DataHandler.py

SuiMingYang/ECKG

e394b1a57bb147b2742d9dcc77d05042bad793a5

[ "MIT" ]

16

2020-04-25T03:38:24.000Z

2021-11-17T15:25:33.000Z

Handler/DataHandler.py

SuiMingYang/ECKG

e394b1a57bb147b2742d9dcc77d05042bad793a5

[ "MIT" ]

1

2020-03-14T14:40:11.000Z

Handler/DataHandler.py

SuiMingYang/ECKG

e394b1a57bb147b2742d9dcc77d05042bad793a5

[ "MIT" ]

9

2020-04-20T08:19:46.000Z

2022-01-24T04:09:35.000Z

#!/usr/bin/env python # -*- encoding: utf-8 -*- ''' @File : DataHandler.py @Time : 2019/11/20 16:51:18 @Author : sui mingyang @Version : 0.0.1 @Contact : suimingyang123@gmail.com @License : (C)Copyright 2018-2019, weidian @Desc : None ''' from Helper.DataHelper import DataHelper from Config.base import conf,variable # 数据处理 class DataHandler(object): def __init__(self,host,username,password): #host=conf.get('neo4j','server'),username=conf.get('neo4j','user'),password=conf.get('neo4j','pwd') self.helper=DataHelper(host=host,username=username,password=password) def update_by_day(self): pass def update_intime(self): pass def co_recommend_by_product(self): pass def co_recommend_by_user(self): pass def recommend_by_graph(self,top): pass

24.457143

107

0.655374

113

856

4.831858

0.584071

0.058608

0.080586

0.047619

0.087912

0

0.047337

0.21028

856

34

108

25.176471

0.760355

0.41472

0

0.333333

0

1

0.4

false

0.466667

0.133333

0

0.6

0

null

0

null

0

1

0

1

0

1

0

3

4003eafcb85019f299f6d0f3d3e14239c9f2ef8e

689

py

Python

test/controls/conditions/test_when.py

ownport/playbook

6d3196ddf68f2c3c3efc4a52e26719c3e5596dca

[ "MIT" ]

1

2018-09-10T10:01:25.000Z

test/controls/conditions/test_when.py

ownport/playbook

6d3196ddf68f2c3c3efc4a52e26719c3e5596dca

[ "MIT" ]

null

test/controls/conditions/test_when.py

ownport/playbook

6d3196ddf68f2c3c3efc4a52e26719c3e5596dca

[ "MIT" ]

null

from playbook.controls.conditions.case_when import Action def test_actions_conditions_when(): cond_when = Action(*['10 == 10']) assert isinstance(cond_when, Action) def test_actions_conditions_when_run(): assert Action(*['True']).run().get(u'action') == 'when' assert Action(*['False']).run().get(u'status') == 'FAILED' assert Action().run().get(u'status') == 'SUCCESS' assert Action(*['10 == 10']).run().get(u'status') == 'SUCCESS' assert Action(*['3 > 2', '2 > 1', '1 > 0']).run().get(u'status') == 'SUCCESS' assert Action(*['True', 'False']).run().get(u'status') == 'FAILED' assert Action(*['2 > 1', '1 > 2']).run().get(u'status') == 'FAILED'

34.45

81

0.605225

94

689

4.329787

0.287234

0.206388

0.120393

0.191646

0.626536

0.579853

0.412776

0.176904

0

0.030717

0.149492

689

19

82

36.263158

0.663823

0

0.208999

0

0.666667

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false

0

0.083333

0

0.25

0

null

1

0

1

0

null

0

1

0

3

40078a763997ff6cc494585d121898c33823e0fe

160

py

Python

setup_writer/__init__.py

Gowthaman1401/Setup-Writer

62810c9978b1a6a413e40b443323295511f124f7

[ "Apache-2.0" ]

null

setup_writer/__init__.py

Gowthaman1401/Setup-Writer

62810c9978b1a6a413e40b443323295511f124f7

[ "Apache-2.0" ]

null

setup_writer/__init__.py

Gowthaman1401/Setup-Writer

62810c9978b1a6a413e40b443323295511f124f7

[ "Apache-2.0" ]

null

'''To help in writng setup.py and upload package to pip''' __version__ = '1.0.0' __author__ = 'Gowthaman' from .Setup import Classifiers, Setup, upload

22.857143

59

0.7

23

160

4.521739

0.782609

0

0.023077

0.1875

160

6

60

26.666667

0.776923

0.325

0

0.145833

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

400c14ec8748aa534a819e4f142b44964d2ce90d

2,832

py

Python

stac_fastapi/sqlalchemy/tests/features/test_custom_models.py

AsgerPetersen/stac-fastapi

27e134589107654920c2f1dba54773c8c85d4e1a

[ "MIT" ]

64

2021-03-27T19:34:29.000Z

2022-03-31T07:58:58.000Z

stac_fastapi/sqlalchemy/tests/features/test_custom_models.py

nmandery/stac-fastapi

8cce4fb449d6bdb36a788e959bce6012cd6f83e6

[ "MIT" ]

218

2021-03-27T19:51:54.000Z

2022-03-28T12:41:56.000Z

src/stac_fastapi/sqlalchemy/tests/features/test_custom_models.py

Dataforsyningen/skraafoto_stac_public

fa9cb7e3516cfacf730d24bb56ae50e2e0e5bae1

[ "MIT" ]

44

2021-04-05T12:06:25.000Z

2022-03-01T12:06:29.000Z

# from typing import Type # # import sqlalchemy as sa # from starlette.testclient import TestClient # # # TODO: move these # from stac_api.models.database import Item # from stac_api.models.schemas import Collection # # from stac_fastapi.api.app import StacApi # from stac_fastapi.extensions.core import TransactionExtension # from stac_fastapi.postgres.core import CoreCrudClient, Session # from stac_fastapi.postgres.transactions import TransactionsClient # from stac_fastapi.postgres.config import PostgresSettings # # # from ..conftest import MockStarletteRequest # # # class CustomItem(Item): # foo = sa.Column(sa.VARCHAR(10)) # # # def create_app(item_model: Type[Item], db_session: Session) -> StacApi: # """Create application with a custom sqlalchemy item""" # api = StacApi( # settings=PostgresSettings(indexed_fields={"datetime", "foo"}), # extensions=[ # TransactionExtension( # client=TransactionsClient(item_table=item_model, session=db_session) # ) # ], # client=CoreCrudClient(item_table=item_model, session=db_session), # ) # return api # # # def test_custom_item(load_test_data, postgres_transactions, db_session): # api = create_app(CustomItem, db_session) # transactions = TransactionsClient(item_table=CustomItem, session=db_session) # # with TestClient(api.app) as test_client: # # Ingest a collection # coll = Collection.parse_obj(load_test_data("test_collection.json")) # transactions.create_collection(coll, request=MockStarletteRequest) # # # Modify the table to match our custom item # # This would typically be done with alembic # db_session.writer.cached_engine.execute( # "ALTER TABLE data.items ADD COLUMN foo VARCHAR(10)" # ) # # # Post an item # test_item = load_test_data("test_item.json") # test_item["properties"]["foo"] = "hello" # resp = test_client.post( # f"/collections/{test_item['collection']}/items", json=test_item # ) # assert resp.status_code == 200 # assert resp.json()["properties"]["foo"] == "hello" # # # Search for the item # body = {"query": {"foo": {"eq": "hello"}}} # resp = test_client.post("/search", json=body) # assert resp.status_code == 200 # resp_json = resp.json() # assert len(resp_json["features"]) == 1 # assert resp_json["features"][0]["properties"]["foo"] == "hello" # # # Cleanup # transactions.delete_item(test_item["id"], request=MockStarletteRequest) # transactions.delete_collection(coll.id, request=MockStarletteRequest) # db_session.writer.cached_engine.execute( # "ALTER TABLE data.items DROP COLUMN foo" # )

37.263158

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0.659251

316

2,832

5.737342

0.335443

0.039713

0.041368

0.038058

0.146718

0.095974

0.058467

0

0.00544

0.221045

2,832

75

87

37.76

0.81641

0.944209

0

null

0

null

0

null

0

0.013333

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

1

0

3

4014cde7f14af6f44fe925623e8fa0bed481db48

226

py

Python

common/__init__.py

funnyzak/cms-scripting

6074acd3eaf734e8df43d245e6e6415a5500d01e

[ "MIT" ]

1

2021-11-03T02:09:15.000Z

common/__init__.py

funnyzak/cms-scripting

6074acd3eaf734e8df43d245e6e6415a5500d01e

[ "MIT" ]

null

common/__init__.py

funnyzak/cms-scripting

6074acd3eaf734e8df43d245e6e6415a5500d01e

[ "MIT" ]

null

from .fileutil import FileUtil from .exception import PException from .ziputil import ZipUtil from .logger import new_logger from .logger import logger from .execlutil import ExeclUtil from . import imgutil from . import util

25.111111

33

0.823009

31

226

5.967742

0.354839

0.108108

0.172973

0

0.141593

226

8

34

28.25

0.953608

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

3

401be2ecedd4ee9be398b4daa69efb1cff7803c5

102

py

Python

sending.py

skyrred/django-pa

d53815992ef680e48ce9579d1e7c76d1009b7f6d

[ "Apache-2.0" ]

null

sending.py

skyrred/django-pa

d53815992ef680e48ce9579d1e7c76d1009b7f6d

[ "Apache-2.0" ]

null

sending.py

skyrred/django-pa

d53815992ef680e48ce9579d1e7c76d1009b7f6d

[ "Apache-2.0" ]

null

import webbrowser webbrowser.open("http://127.0.0.1:8000/share") print("updating is done") input("")

20.4

46

0.715686

16

102

4.5625

0.875

0

0.106383

0.078431

102

5

47

20.4

0.670213

0

0.417476

0

1

0

true

0

0.25

0

0.25

1

0

null

0

1

0

null

0

1

0

3

403904fc5aefaef8b84ae8a9bf6da3648de20c2d

332

py

Python

src/leituraDeArquivo.py

jefersoncmn/Genetic-Algorithm

49b07d3385b5c92d74405108c7a945530e2c9b21

[ "MIT" ]

null

src/leituraDeArquivo.py

jefersoncmn/Genetic-Algorithm

49b07d3385b5c92d74405108c7a945530e2c9b21

[ "MIT" ]

7

2021-08-09T13:09:12.000Z

2021-08-29T10:20:40.000Z

src/leituraDeArquivo.py

jefersoncmn/Genetic-Algorithm

49b07d3385b5c92d74405108c7a945530e2c9b21

[ "MIT" ]

null

import pandas as pd import json def ler_json(arq_json): with open(arq_json, 'r', encoding='utf8') as f: return json.load(f) def ler_materia_no_json(json_data, line): materia = json_data[line] return materia def ler_dado_da_materia_no_json(json_data, line, key): dado = json_data[line][key] return dado

23.714286

54

0.710843

56

332

3.946429

0.410714

0.144796

0.217195

0.153846

0.226244

0

0.003717

0.189759

332

14

55

23.714286

0.817844

0

0.015015

0

1

0.272727

false

0

0.181818

0

0.727273

0

null

0

1

0

null

0

1

0

1

0

3

403d4dca31a70e020084d35100fc6acd19e3fd05

564

py

Python

scripts/models/repositories.py

omarowns/crucible

4cc2c353dbdba18fcb683a21d4bf12374d848488

[ "MIT" ]

null

scripts/models/repositories.py

omarowns/crucible

4cc2c353dbdba18fcb683a21d4bf12374d848488

[ "MIT" ]

null

scripts/models/repositories.py

omarowns/crucible

4cc2c353dbdba18fcb683a21d4bf12374d848488

[ "MIT" ]

null

import yaml import os class YamlRepository(): def __init__(self, file_name): file_path = os.path.join(os.path.dirname(__file__), '../data', file_name) with open(file_path, 'r') as file: self.source = yaml.safe_load(file) class ZoneRepository(YamlRepository): def __init__(self): super().__init__('zones.yml') self.zones = self.source.get('zones') class ActionRepository(YamlRepository): def __init__(self) -> None: super().__init__('actions.yml') self.actions = self.source.get('actions')

29.684211

81

0.654255

69

564

4.927536

0.42029

0.15

0.185294

0.220588

0

0.203901

564

19

82

29.684211

0.757238

0

0.070796

0

1

0.2

false

0

0.133333

0

0.533333

0

null

0

1

0

null

0

1

0

3

40499e2b005625789e7b14b938a341e99bae89ef

24,566

py

Python

pysnmp_mibs/CHARACTER-MIB.py

jackjack821/pysnmp-mibs

9835ea0bb2420715caf4ee9aaa07d59bb263acd6

[ "BSD-2-Clause" ]

6

2017-04-21T13:48:08.000Z

2022-01-06T19:42:52.000Z

pysnmp_mibs/CHARACTER-MIB.py

jackjack821/pysnmp-mibs

9835ea0bb2420715caf4ee9aaa07d59bb263acd6

[ "BSD-2-Clause" ]

1

2020-05-05T16:42:25.000Z

pysnmp_mibs/CHARACTER-MIB.py

jackjack821/pysnmp-mibs

9835ea0bb2420715caf4ee9aaa07d59bb263acd6

[ "BSD-2-Clause" ]

6

2020-02-08T20:28:49.000Z

2021-09-14T13:36:46.000Z

# # PySNMP MIB module CHARACTER-MIB (http://pysnmp.sf.net) # ASN.1 source http://mibs.snmplabs.com:80/asn1/CHARACTER-MIB # Produced by pysmi-0.0.7 at Sun Feb 14 00:06:47 2016 # On host bldfarm platform Linux version 4.1.13-100.fc21.x86_64 by user goose # Using Python version 3.5.0 (default, Jan 5 2016, 17:11:52) # ( ObjectIdentifier, OctetString, Integer, ) = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") ( NamedValues, ) = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ( ConstraintsIntersection, ValueRangeConstraint, ConstraintsUnion, ValueSizeConstraint, SingleValueConstraint, ) = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueRangeConstraint", "ConstraintsUnion", "ValueSizeConstraint", "SingleValueConstraint") ( InterfaceIndex, ) = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex") ( ObjectGroup, NotificationGroup, ModuleCompliance, ) = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance") ( MibIdentifier, transmission, Bits, Integer32, IpAddress, Gauge32, mib_2, Counter32, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn, iso, Unsigned32, ObjectIdentity, TimeTicks, ModuleIdentity, NotificationType, ) = mibBuilder.importSymbols("SNMPv2-SMI", "MibIdentifier", "transmission", "Bits", "Integer32", "IpAddress", "Gauge32", "mib-2", "Counter32", "Counter64", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "Unsigned32", "ObjectIdentity", "TimeTicks", "ModuleIdentity", "NotificationType") ( TextualConvention, DisplayString, AutonomousType, InstancePointer, ) = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString", "AutonomousType", "InstancePointer") char = ModuleIdentity((1, 3, 6, 1, 2, 1, 19)) if mibBuilder.loadTexts: char.setLastUpdated('9405261700Z') if mibBuilder.loadTexts: char.setOrganization('IETF Character MIB Working Group') if mibBuilder.loadTexts: char.setContactInfo(' Bob Stewart\n Postal: Xyplex, Inc.\n 295 Foster Street\n Littleton, MA 01460\n\n Tel: 508-952-4816\n Fax: 508-952-4887\n\n E-mail: rlstewart@eng.xyplex.com') if mibBuilder.loadTexts: char.setDescription('The MIB module for character stream devices.') class PortIndex(Integer32, TextualConvention): displayHint = 'd' charNumber = MibScalar((1, 3, 6, 1, 2, 1, 19, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: charNumber.setDescription('The number of entries in charPortTable, regardless\n of their current state.') charPortTable = MibTable((1, 3, 6, 1, 2, 1, 19, 2), ) if mibBuilder.loadTexts: charPortTable.setDescription('A list of port entries. The number of entries is\n given by the value of charNumber.') charPortEntry = MibTableRow((1, 3, 6, 1, 2, 1, 19, 2, 1), ).setIndexNames((0, "CHARACTER-MIB", "charPortIndex")) if mibBuilder.loadTexts: charPortEntry.setDescription('Status and parameter values for a character port.') charPortIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 1), PortIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortIndex.setDescription('A unique value for each character port, perhaps\n corresponding to the same value of ifIndex when the\n character port is associated with a hardware port\n represented by an ifIndex.') charPortName = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0,32))).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortName.setDescription('An administratively assigned name for the port,\n typically with some local significance.') charPortType = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("physical", 1), ("virtual", 2),))).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortType.setDescription("The port's type, 'physical' if the port represents\n an external hardware connector, 'virtual' if it does\n not.") charPortHardware = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 4), AutonomousType()).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortHardware.setDescription("A reference to hardware MIB definitions specific to\n a physical port's external connector. For example,\n if the connector is RS-232, then the value of this\n object refers to a MIB sub-tree defining objects\n specific to RS-232. If an agent is not configured\n to have such values, the agent returns the object\n identifier:\n\n nullHardware OBJECT IDENTIFIER ::= { 0 0 }\n ") charPortReset = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("ready", 1), ("execute", 2),))).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortReset.setDescription("A control to force the port into a clean, initial\n state, both hardware and software, disconnecting all\n the port's existing sessions. In response to a\n get-request or get-next-request, the agent always\n returns 'ready' as the value. Setting the value to\n 'execute' causes a reset.") charPortAdminStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2), ("off", 3), ("maintenance", 4),))).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortAdminStatus.setDescription("The port's desired state, independent of flow\n control. 'enabled' indicates that the port is\n allowed to pass characters and form new sessions.\n 'disabled' indicates that the port is allowed to\n pass characters but not form new sessions. 'off'\n indicates that the port is not allowed to pass\n characters or have any sessions. 'maintenance'\n indicates a maintenance mode, exclusive of normal\n operation, such as running a test.\n\n 'enabled' corresponds to ifAdminStatus 'up'.\n 'disabled' and 'off' correspond to ifAdminStatus\n 'down'. 'maintenance' corresponds to ifAdminStatus\n 'test'.") charPortOperStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5,))).clone(namedValues=NamedValues(("up", 1), ("down", 2), ("maintenance", 3), ("absent", 4), ("active", 5),))).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortOperStatus.setDescription("The port's actual, operational state, independent\n of flow control. 'up' indicates able to function\n normally. 'down' indicates inability to function\n for administrative or operational reasons.\n 'maintenance' indicates a maintenance mode,\n exclusive of normal operation, such as running a\n test. 'absent' indicates that port hardware is not\n present. 'active' indicates up with a user present\n (e.g. logged in).\n\n 'up' and 'active' correspond to ifOperStatus 'up'.\n 'down' and 'absent' correspond to ifOperStatus\n 'down'. 'maintenance' corresponds to ifOperStatus\n 'test'.") charPortLastChange = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 8), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortLastChange.setDescription('The value of sysUpTime at the time the port entered\n its current operational state. If the current state\n was entered prior to the last reinitialization of\n the local network management subsystem, then this\n object contains a zero value.') charPortInFlowType = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5,))).clone(namedValues=NamedValues(("none", 1), ("xonXoff", 2), ("hardware", 3), ("ctsRts", 4), ("dsrDtr", 5),))).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortInFlowType.setDescription("The port's type of input flow control. 'none'\n indicates no flow control at this level or below.\n 'xonXoff' indicates software flow control by\n recognizing XON and XOFF characters. 'hardware'\n indicates flow control delegated to the lower level,\n for example a parallel port.\n\n 'ctsRts' and 'dsrDtr' are specific to RS-232-like\n ports. Although not architecturally pure, they are\n included here for simplicity's sake.") charPortOutFlowType = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5,))).clone(namedValues=NamedValues(("none", 1), ("xonXoff", 2), ("hardware", 3), ("ctsRts", 4), ("dsrDtr", 5),))).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortOutFlowType.setDescription("The port's type of output flow control. 'none'\n indicates no flow control at this level or below.\n 'xonXoff' indicates software flow control by\n recognizing XON and XOFF characters. 'hardware'\n indicates flow control delegated to the lower level,\n for example a parallel port.\n\n 'ctsRts' and 'dsrDtr' are specific to RS-232-like\n ports. Although not architecturally pure, they are\n included here for simplicy's sake.") charPortInFlowState = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("none", 1), ("unknown", 2), ("stop", 3), ("go", 4),))).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortInFlowState.setDescription("The current operational state of input flow control\n on the port. 'none' indicates not applicable.\n 'unknown' indicates this level does not know.\n 'stop' indicates flow not allowed. 'go' indicates\n flow allowed.") charPortOutFlowState = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("none", 1), ("unknown", 2), ("stop", 3), ("go", 4),))).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortOutFlowState.setDescription("The current operational state of output flow\n control on the port. 'none' indicates not\n applicable. 'unknown' indicates this level does not\n know. 'stop' indicates flow not allowed. 'go'\n indicates flow allowed.") charPortInCharacters = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortInCharacters.setDescription("Total number of characters detected as input from\n the port since system re-initialization and while\n the port operational state was 'up', 'active', or\n 'maintenance', including, for example, framing, flow\n control (i.e. XON and XOFF), each occurrence of a\n BREAK condition, locally-processed input, and input\n sent to all sessions.") charPortOutCharacters = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortOutCharacters.setDescription("Total number of characters detected as output to\n the port since system re-initialization and while\n the port operational state was 'up', 'active', or\n 'maintenance', including, for example, framing, flow\n control (i.e. XON and XOFF), each occurrence of a\n BREAK condition, locally-created output, and output\n received from all sessions.") charPortAdminOrigin = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4,))).clone(namedValues=NamedValues(("dynamic", 1), ("network", 2), ("local", 3), ("none", 4),))).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortAdminOrigin.setDescription("The administratively allowed origin for\n establishing session on the port. 'dynamic' allows\n 'network' or 'local' session establishment. 'none'\n disallows session establishment.") charPortSessionMaximum = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 16), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1,2147483647))).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortSessionMaximum.setDescription('The maximum number of concurrent sessions allowed\n on the port. A value of -1 indicates no maximum.\n Setting the maximum to less than the current number\n of sessions has unspecified results.') charPortSessionNumber = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 17), Gauge32()).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortSessionNumber.setDescription('The number of open sessions on the port that are in\n the connecting, connected, or disconnecting state.') charPortSessionIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 18), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0,2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortSessionIndex.setDescription("The value of charSessIndex for the port's first or\n only active session. If the port has no active\n session, the agent returns the value zero.") charPortInFlowTypes = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 19), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1,1)).setFixedLength(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortInFlowTypes.setDescription("The port's types of input flow control at the\n software level. Hardware-level flow control is\n independently controlled by the appropriate\n hardware-level MIB.\n\n A value of zero indicates no flow control.\n Depending on the specific implementation, any or\n all combinations of flow control may be chosen by\n adding the values:\n\n 128 xonXoff, recognizing XON and XOFF characters\n 64 enqHost, ENQ/ACK to allow input to host\n 32 enqTerm, ACK to allow output to port\n ") charPortOutFlowTypes = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 20), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1,1)).setFixedLength(1)).setMaxAccess("readwrite") if mibBuilder.loadTexts: charPortOutFlowTypes.setDescription("The port's types of output flow control at the\n software level. Hardware-level flow control is\n independently controlled by the appropriate\n hardware-level MIB.\n\n A value of zero indicates no flow control.\n Depending on the specific implementation, any or\n all combinations of flow control may be chosen by\n adding the values:\n\n 128 xonXoff, recognizing XON and XOFF characters\n 64 enqHost, ENQ/ACK to allow input to host\n 32 enqTerm, ACK to allow output to port\n ") charPortLowerIfIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 2, 1, 21), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: charPortLowerIfIndex.setDescription('The ifIndex value of the lower level hardware supporting\n this character port, zero if none.') charSessTable = MibTable((1, 3, 6, 1, 2, 1, 19, 3), ) if mibBuilder.loadTexts: charSessTable.setDescription('A list of port session entries.') charSessEntry = MibTableRow((1, 3, 6, 1, 2, 1, 19, 3, 1), ).setIndexNames((0, "CHARACTER-MIB", "charSessPortIndex"), (0, "CHARACTER-MIB", "charSessIndex")) if mibBuilder.loadTexts: charSessEntry.setDescription('Status and parameter values for a character port\n session.') charSessPortIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 1), PortIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessPortIndex.setDescription('The value of charPortIndex for the port to which\n this session belongs.') charSessIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1,2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessIndex.setDescription('The session index in the context of the port, a\n non-zero positive integer. Session indexes within a\n port need not be sequential. Session indexes may be\n reused for different ports. For example, port 1 and\n port 3 may both have a session 2 at the same time.\n Session indexes may have any valid integer value,\n with any meaning convenient to the agent\n implementation.') charSessKill = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2,))).clone(namedValues=NamedValues(("ready", 1), ("execute", 2),))).setMaxAccess("readwrite") if mibBuilder.loadTexts: charSessKill.setDescription("A control to terminate the session. In response to\n a get-request or get-next-request, the agent always\n returns 'ready' as the value. Setting the value to\n 'execute' causes termination.") charSessState = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3,))).clone(namedValues=NamedValues(("connecting", 1), ("connected", 2), ("disconnecting", 3),))).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessState.setDescription("The current operational state of the session,\n disregarding flow control. 'connected' indicates\n that character data could flow on the network side\n of session. 'connecting' indicates moving from\n nonexistent toward 'connected'. 'disconnecting'\n indicates moving from 'connected' or 'connecting' to\n nonexistent.") charSessProtocol = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 5), AutonomousType()).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessProtocol.setDescription('The network protocol over which the session is\n running. Other OBJECT IDENTIFIER values may be\n defined elsewhere, in association with specific\n protocols. However, this document assigns those of\n known interest as of this writing.') wellKnownProtocols = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 4)) protocolOther = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 4, 1)) protocolTelnet = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 4, 2)) protocolRlogin = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 4, 3)) protocolLat = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 4, 4)) protocolX29 = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 4, 5)) protocolVtp = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 4, 6)) charSessOperOrigin = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3,))).clone(namedValues=NamedValues(("unknown", 1), ("network", 2), ("local", 3),))).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessOperOrigin.setDescription("The session's source of establishment.") charSessInCharacters = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessInCharacters.setDescription("This session's subset of charPortInCharacters.") charSessOutCharacters = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessOutCharacters.setDescription("This session's subset of charPortOutCharacters.") charSessConnectionId = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 9), InstancePointer()).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessConnectionId.setDescription('A reference to additional local MIB information.\n This should be the highest available related MIB,\n corresponding to charSessProtocol, such as Telnet.\n For example, the value for a TCP connection (in the\n absence of a Telnet MIB) is the object identifier of\n tcpConnState. If an agent is not configured to have\n such values, the agent returns the object\n identifier:\n\n nullConnectionId OBJECT IDENTIFIER ::= { 0 0 }\n ') charSessStartTime = MibTableColumn((1, 3, 6, 1, 2, 1, 19, 3, 1, 10), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: charSessStartTime.setDescription('The value of sysUpTime in MIB-2 when the session\n entered connecting state.') charConformance = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 5)) charGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 5, 1)) charCompliances = MibIdentifier((1, 3, 6, 1, 2, 1, 19, 5, 2)) charCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 19, 5, 2, 1)).setObjects(*(("CHARACTER-MIB", "charGroup"),)) if mibBuilder.loadTexts: charCompliance.setDescription('The compliance statement for SNMPv2 entities\n which have Character hardware interfaces.') charGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 19, 5, 1, 1)).setObjects(*(("CHARACTER-MIB", "charNumber"), ("CHARACTER-MIB", "charPortIndex"), ("CHARACTER-MIB", "charPortName"), ("CHARACTER-MIB", "charPortType"), ("CHARACTER-MIB", "charPortHardware"), ("CHARACTER-MIB", "charPortReset"), ("CHARACTER-MIB", "charPortAdminStatus"), ("CHARACTER-MIB", "charPortOperStatus"), ("CHARACTER-MIB", "charPortLastChange"), ("CHARACTER-MIB", "charPortInFlowState"), ("CHARACTER-MIB", "charPortOutFlowState"), ("CHARACTER-MIB", "charPortAdminOrigin"), ("CHARACTER-MIB", "charPortSessionMaximum"), ("CHARACTER-MIB", "charPortInFlowTypes"), ("CHARACTER-MIB", "charPortOutFlowTypes"), ("CHARACTER-MIB", "charPortInCharacters"), ("CHARACTER-MIB", "charPortOutCharacters"), ("CHARACTER-MIB", "charPortSessionNumber"), ("CHARACTER-MIB", "charPortSessionIndex"), ("CHARACTER-MIB", "charPortLowerIfIndex"), ("CHARACTER-MIB", "charSessPortIndex"), ("CHARACTER-MIB", "charSessIndex"), ("CHARACTER-MIB", "charSessKill"), ("CHARACTER-MIB", "charSessState"), ("CHARACTER-MIB", "charSessProtocol"), ("CHARACTER-MIB", "charSessOperOrigin"), ("CHARACTER-MIB", "charSessInCharacters"), ("CHARACTER-MIB", "charSessOutCharacters"), ("CHARACTER-MIB", "charSessConnectionId"), ("CHARACTER-MIB", "charSessStartTime"),)) if mibBuilder.loadTexts: charGroup.setDescription('A collection of objects providing information\n applicable to all Character interfaces.') mibBuilder.exportSymbols("CHARACTER-MIB", protocolOther=protocolOther, charPortAdminOrigin=charPortAdminOrigin, charPortSessionMaximum=charPortSessionMaximum, charSessIndex=charSessIndex, charSessInCharacters=charSessInCharacters, charPortAdminStatus=charPortAdminStatus, charSessEntry=charSessEntry, charNumber=charNumber, charPortType=charPortType, charSessKill=charSessKill, protocolRlogin=protocolRlogin, charCompliance=charCompliance, charPortInCharacters=charPortInCharacters, charPortLowerIfIndex=charPortLowerIfIndex, charPortOutFlowState=charPortOutFlowState, charConformance=charConformance, charSessConnectionId=charSessConnectionId, charPortOutCharacters=charPortOutCharacters, charSessStartTime=charSessStartTime, charSessOutCharacters=charSessOutCharacters, wellKnownProtocols=wellKnownProtocols, charPortIndex=charPortIndex, charPortReset=charPortReset, charPortInFlowType=charPortInFlowType, charPortHardware=charPortHardware, protocolLat=protocolLat, charPortLastChange=charPortLastChange, charPortSessionIndex=charPortSessionIndex, protocolVtp=protocolVtp, charSessTable=charSessTable, charSessProtocol=charSessProtocol, charSessOperOrigin=charSessOperOrigin, charPortOutFlowTypes=charPortOutFlowTypes, protocolTelnet=protocolTelnet, charPortOutFlowType=charPortOutFlowType, charPortTable=charPortTable, charPortInFlowState=charPortInFlowState, charSessPortIndex=charSessPortIndex, PortIndex=PortIndex, charPortSessionNumber=charPortSessionNumber, charCompliances=charCompliances, PYSNMP_MODULE_ID=char, charGroups=charGroups, charPortEntry=charPortEntry, charPortInFlowTypes=charPortInFlowTypes, charPortOperStatus=charPortOperStatus, charGroup=charGroup, charPortName=charPortName, charSessState=charSessState, char=char, protocolX29=protocolX29)

223.327273

1,766

0.715013

2,982

24,566

5.889001

0.167337

0.0082

0.011389

0.011161

0.440522

0.386595

0.318945

0.304709

0.295712

0.274529

0

0.041782

0.164089

24,566

109

1,767

225.376147

0.813392

0.012293

0

0.247525

0.511812

0.008081

0

1

0

false

0.009901

0.069307

0

0.089109

0

null

0

1

0

1

0

null

0

3

40566d1131d9c55b8b9428759d818c777e295eae

88

py

Python

flask_babel_bundle/extensions/__init__.py

briancappello/flask-babel-bundle

a9ecbf53278d4b01ae7f8f811f6974ea42045986

[ "MIT" ]

null

flask_babel_bundle/extensions/__init__.py

briancappello/flask-babel-bundle

a9ecbf53278d4b01ae7f8f811f6974ea42045986

[ "MIT" ]

null

flask_babel_bundle/extensions/__init__.py

briancappello/flask-babel-bundle

a9ecbf53278d4b01ae7f8f811f6974ea42045986

[ "MIT" ]

null

from flask_babelex import Babel babel = Babel() EXTENSIONS = { 'babel': babel, }

9.777778

31

0.659091

10

88

5.7

0.6

0.526316

0

0.227273

88

8

32

11

0.838235

0

0.056818

0

1

0

false

0

0.2

0

0.2

0

1

0

null

1

0

1

0

null

0

3

405ef9f5742f06ef10764a8d4530ef80913001ad

115

py

Python

dictionaries.py

larrymahumot/hello

7f32e8484f541a6944ff229114b3536e924f6d88

[ "Unlicense" ]

null

dictionaries.py

larrymahumot/hello

7f32e8484f541a6944ff229114b3536e924f6d88

[ "Unlicense" ]

null

dictionaries.py

larrymahumot/hello

7f32e8484f541a6944ff229114b3536e924f6d88

[ "Unlicense" ]

null

houses = {"Harry": "Gryffindor", "Draco": "Slytherin"} houses["Hermione"] = "Gryffindor" print(houses["Harry"])

16.428571

54

0.652174

11

115

6.818182

0.636364

0.293333

0

0.113043

115

6

55

19.166667

0.735294

0

0.45614

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

3

40676f1dc9aaa07801f702d961fe4cf2de6727b0

11

py

Python

dev.py

AugustPython/git_ssh

461623d95f586812e4b5c5e3234783eceec77a93

[ "MIT" ]

null

dev.py

AugustPython/git_ssh

461623d95f586812e4b5c5e3234783eceec77a93

[ "MIT" ]

null

dev.py

AugustPython/git_ssh

461623d95f586812e4b5c5e3234783eceec77a93

[ "MIT" ]

null

name = dev

5.5

10

0.636364

2

11

3.5

1

0

0.272727

11

1

11

0.875

0

1

0

false

0

1

0

null

0

1

0

null

0

3

40abee05921b04e7051f087863537b4723de5559

4,777

py

Python

spectralpool.py

AlbertZhangHIT/Hartley-spectral-pooling

c14ef45ab07abf4b7063e217e3b60bcddd9d95e7

[ "MIT" ]

6

2019-09-27T00:43:45.000Z

2021-08-25T01:23:02.000Z

spectralpool.py

AlbertZhangHIT/Hartley-spectral-pooling

c14ef45ab07abf4b7063e217e3b60bcddd9d95e7

[ "MIT" ]

2

2019-11-06T07:28:51.000Z

2020-03-15T20:26:18.000Z

spectralpool.py

AlbertZhangHIT/Hartley-spectral-pooling

c14ef45ab07abf4b7063e217e3b60bcddd9d95e7

[ "MIT" ]

null

import torch import torch.nn as nn from torch.autograd import Function import math from torch.nn.modules.utils import _pair def _spectral_crop(input, oheight, owidth): cutoff_freq_h = math.ceil(oheight / 2) cutoff_freq_w = math.ceil(owidth / 2) if oheight % 2 == 1: if owidth % 2 == 1: top_left = input[:, :, :cutoff_freq_h, :cutoff_freq_w] top_right = input[:, :, :cutoff_freq_h, -(cutoff_freq_w-1):] bottom_left = input[:, :, -(cutoff_freq_h-1):, :cutoff_freq_w] bottom_right = input[:, :, -(cutoff_freq_h-1):, -(cutoff_freq_w-1):] else: top_left = input[:, :, :cutoff_freq_h, :cutoff_freq_w] top_right = input[:, :, :cutoff_freq_h, -cutoff_freq_w:] bottom_left = input[:, :, -(cutoff_freq_h-1):, :cutoff_freq_w] bottom_right = input[:, :, -(cutoff_freq_h-1):, -cutoff_freq_w:] else: if owidth % 2 == 1: top_left = input[:, :, :cutoff_freq_h, :cutoff_freq_w] top_right = input[:, :, :cutoff_freq_h, -(cutoff_freq_w-1):] bottom_left = input[:, :, -cutoff_freq_h:, :cutoff_freq_w] bottom_right = input[:, :, -cutoff_freq_h:, -(cutoff_freq_w-1):] else: top_left = input[:, :, :cutoff_freq_h, :cutoff_freq_w] top_right = input[:, :, :cutoff_freq_h, -cutoff_freq_w:] bottom_left = input[:, :, -cutoff_freq_h:, :cutoff_freq_w] bottom_right = input[:, :, -cutoff_freq_h:, -cutoff_freq_w:] top_combined = torch.cat((top_left, top_right), dim=-1) bottom_combined = torch.cat((bottom_left, bottom_right), dim=-1) all_together = torch.cat((top_combined, bottom_combined), dim=-2) return all_together def _spectral_pad(input, output, oheight, owidth): cutoff_freq_h = math.ceil(oheight / 2) cutoff_freq_w = math.ceil(owidth / 2) pad = torch.zeros_like(input) if oheight % 2 == 1: if owidth % 2 == 1: pad[:, :, :cutoff_freq_h, :cutoff_freq_w] = output[:, :, :cutoff_freq_h, :cutoff_freq_w] pad[:, :, :cutoff_freq_h, -(cutoff_freq_w-1):] = output[:, :, :cutoff_freq_h, -(cutoff_freq_w-1):] pad[:, :, -(cutoff_freq_h-1):, :cutoff_freq_w] = output[:, :, -(cutoff_freq_h-1):, :cutoff_freq_w] pad[:, :, -(cutoff_freq_h-1):, -(cutoff_freq_w-1):] = output[:, :, -(cutoff_freq_h-1):, -(cutoff_freq_w-1):] else: pad[:, :, :cutoff_freq_h, :cutoff_freq_w] = output[:, :, :cutoff_freq_h, :cutoff_freq_w] pad[:, :, :cutoff_freq_h, -cutoff_freq_w:] = output[:, :, :cutoff_freq_h, -cutoff_freq_w:] pad[:, :, -(cutoff_freq_h-1):, :cutoff_freq_w] = output[:, :, -(cutoff_freq_h-1):, :cutoff_freq_w] pad[:, :, -(cutoff_freq_h-1):, -cutoff_freq_w:] = output[:, :, -(cutoff_freq_h-1):, -cutoff_freq_w:] else: if owidth % 2 == 1: pad[:, :, :cutoff_freq_h, :cutoff_freq_w] = output[:, :, :cutoff_freq_h, :cutoff_freq_w] pad[:, :, :cutoff_freq_h, -(cutoff_freq_w-1):] = output[:, :, :cutoff_freq_h, -(cutoff_freq_w-1):] pad[:, :, -cutoff_freq_h:, :cutoff_freq_w] = output[:, :, -cutoff_freq_h:, :cutoff_freq_w] pad[:, :, -cutoff_freq_h:, -(cutoff_freq_w-1):] = output[:, :, -cutoff_freq_h:, -(cutoff_freq_w-1):] else: pad[:, :, :cutoff_freq_h, :cutoff_freq_w] = output[:, :, :cutoff_freq_h, :cutoff_freq_w] pad[:, :, :cutoff_freq_h, -cutoff_freq_w:] = output[:, :, :cutoff_freq_h, -cutoff_freq_w:] pad[:, :, -cutoff_freq_h:, :cutoff_freq_w] = output[:, :, -cutoff_freq_h:, :cutoff_freq_w] pad[:, :, -cutoff_freq_h:, -cutoff_freq_w:] = output[:, :, -cutoff_freq_h:, -cutoff_freq_w:] return pad def DiscreteHartleyTransform(input): fft = torch.rfft(input, 2, normalized=True, onesided=False) dht = fft[:, :, :, :, -2] - fft[:, :, :, :, -1] return dht class SpectralPoolingFunction(Function): @staticmethod def forward(ctx, input, oheight, owidth): ctx.oh = oheight ctx.ow = owidth ctx.save_for_backward(input) # Hartley transform by RFFT dht = DiscreteHartleyTransform(input) # frequency cropping all_together = _spectral_crop(dht, oheight, owidth) # inverse Hartley transform dht = DiscreteHartleyTransform(all_together) return dht @staticmethod def backward(ctx, grad_output): input, = ctx.saved_variables # Hartley transform by RFFT dht = DiscreteHartleyTransform(grad_output) # frequency padding grad_input = _spectral_pad(input, dht, ctx.oh, ctx.ow) # inverse Hartley transform grad_input = DiscreteHartleyTransform(grad_input) return grad_input, None, None class SpectralPool2d(nn.Module): def __init__(self, scale_factor): super(SpectralPool2d, self).__init__() self.scale_factor = _pair(scale_factor) def forward(self, input): H, W = input.size(-2), input.size(-1) h, w = math.ceil(H*self.scale_factor[0]), math.ceil(W*self.scale_factor[1]) return SpectralPoolingFunction.apply(input, h, w)

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null

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40aebc443ae4659272f7031f802901bcd21560b6

510

py

Python

app/__init__.py

jillmnolan/cascade-server

313c2ccfc061740c0ef664e97bce60546008b9b2

[ "Apache-2.0" ]

null

app/__init__.py

jillmnolan/cascade-server

313c2ccfc061740c0ef664e97bce60546008b9b2

[ "Apache-2.0" ]

null

app/__init__.py

jillmnolan/cascade-server

313c2ccfc061740c0ef664e97bce60546008b9b2

[ "Apache-2.0" ]

null

# NOTICE # # This software was produced for the U. S. Government # under Basic Contract No. W15P7T-13-C-A802, and is # subject to the Rights in Noncommercial Computer Software # and Noncommercial Computer Software Documentation # Clause 252.227-7014 (FEB 2012) # # (C) 2017 The MITRE Corporation. from __future__ import print_function import sys from . import async from . import server from . import api from . import users from . import utils from . import ws from . import docs from . import plugin_loader

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null

0

1

0

1

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3

40af229d59fd56cd49fa0e5daabe829a95283f96

3,780

py

Python

senpaibot/reading/reading_list.py

Maronato/GEAvBot

b5fe955b39211c7310e50aab35aa60b052fdc79c

[ "MIT" ]

null

senpaibot/reading/reading_list.py

Maronato/GEAvBot

b5fe955b39211c7310e50aab35aa60b052fdc79c

[ "MIT" ]

null

senpaibot/reading/reading_list.py

Maronato/GEAvBot

b5fe955b39211c7310e50aab35aa60b052fdc79c

[ "MIT" ]

null

from datetime import datetime from apiclient.discovery import build import json from senpaibot.orderedset import OrderedSet class BaseReadingList: def get_reading_list(self): raise NotImplemented def get_undated_reading_set(self): raise NotImplemented @property def reading_list(self): return self.get_reading_list() @property def undated_reading_set(self): return self.get_undated_reading_set() class HardcodedReadingList(BaseReadingList): """Hardcoded Reading List Loads hardcoded data """ _reading_list = [ ('Capítulo 1', datetime(2018, 5, 22)), ('Capítulo 2', datetime(2018, 6, 10)), ('Capítulo 3', datetime(2018, 6, 11)), ('Capítulo 4', datetime(2018, 6, 12)), ('Capítulo 5', datetime(2018, 7, 10)), ('Capítulo 6', datetime(2018, 7, 11)), ('Capítulo 7', datetime(2018, 7, 12)), ] def get_reading_list(self): return self._reading_list def get_undated_reading_set(self): return OrderedSet([read[0] for read in self.reading_list]) class JsonReadingList(BaseReadingList): """Json Reading List Loads json strings in the format: [ ['Cap title', '23/09/18'], ['Cap title 2', '05/10/18'] ] """ datetime_format = '%d/%m/%y' def __init__(self, json): self.json = json def get_json(self): return self.json def load_json(self): return json.loads(self.get_json()) def date_format_function(self): return lambda row: (row[0], datetime.strptime(row[1], self.datetime_format)) def format_data(self, data): return map(self.date_format_function(), data) def get_data(self): return self.format_data(self.load_json()) def get_reading_list(self): return self.get_data() def get_undated_reading_set(self): return OrderedSet([read[0] for read in self.reading_list]) class FileReadingList(JsonReadingList): """File Reading List Loads json files in the format: [ ['Cap title', '23/09/18'], ['Cap title 2', '05/10/18'] ] """ def __init__(self, file): self.file = file def get_file_path(self): return self.file def get_file(self): return open(self.get_file_path()) def load_json(self): return json.load(self.get_file()) class GoogleSpreadsheetReadingList(JsonReadingList): """Google Spreadsheet Reading List Loads data from a google spreadsheet in the format: Book 1 | Chapter 2 | 14/05/18 """ def __init__(self, sheet_id, sheet_range, api_key): self.sheet_id = sheet_id self.api_key = api_key self.sheet_range = sheet_range self.data = list(self.get_data()) def get_service(self): return build('sheets', 'v4', developerKey=self.api_key) def spreadsheet_format_function(self): return lambda row: (', capítulo '.join(row[:2]), datetime.strptime(row[2], self.datetime_format)) def format_spreadsheet_data(self, data): return map(self.spreadsheet_format_function(), data) def get_data(self): service = self.get_service() spreadsheet = service.spreadsheets().values().get(spreadsheetId=self.sheet_id, range=self.sheet_range) data = spreadsheet.execute().get('values', []) return self.format_spreadsheet_data(data) def get_reading_list(self): return self.data def get_default_list(): import os sheet_id = os.environ.get('GOOGLE_SHEET_ID') api_key = os.environ.get('GOOGLE_API_KEY') sheet_range = os.environ.get('GOOGLE_SHEET_RANGE') reading_list = GoogleSpreadsheetReadingList(sheet_id, sheet_range, api_key) return reading_list

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487

3,780

4.843943

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0.074608

0.047478

0.028826

0.351844

0.280203

0.165748

0.099195

0

0.03346

0.233069

3,780

146

111

25.890411

0.780269

0.105291

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0.219512

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0

null

0

null

0

1

0

1

0

3

40b43b074de55f7529cfa829674c1029f70e4bae

535

py

Python

django-rgd-imagery/rgd_imagery/serializers/__init__.py

Kitware/ResonantGeoData

6d111cbe1d57df2cd230edcf4724f6e33471f5ff

[ "Apache-2.0" ]

3

2020-03-10T14:47:07.000Z

2020-05-05T16:55:27.000Z

django-rgd-imagery/rgd_imagery/serializers/__init__.py

Kitware/ResonantGeoData

6d111cbe1d57df2cd230edcf4724f6e33471f5ff

[ "Apache-2.0" ]

13

2020-04-14T14:36:06.000Z

2020-05-07T15:03:42.000Z

django-rgd-imagery/rgd_imagery/serializers/__init__.py

Kitware/ResonantGeoData

6d111cbe1d57df2cd230edcf4724f6e33471f5ff

[ "Apache-2.0" ]

1

2020-03-03T15:47:52.000Z

from .base import ( ImageMetaSerializer, ImageSerializer, ImageSetSerializer, ImageSetSpatialSerializer, ) from .processed import ProcessedImageGroupSerializer, ProcessedImageSerializer from .raster import RasterMetaSerializer, RasterSerializer __all__ = [ 'ImageSerializer', 'ImageMetaSerializer', 'ImageSetSerializer', 'ImageSetSpatialSerializer', 'ProcessedImageGroupSerializer', 'ProcessedImageSerializer', 'RasterMetaSerializer', 'RasterSerializer', 'RegionImageSerializer', ]

25.47619

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535

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0.158879

535

20

79

26.75

0.9

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false

0

0.157895

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0.157895

0

1

0

1

null

1

0

null

0

3

40c084a02dfa33e4f87ca936849135d57916848a

150

py

Python

raspagem/random/exemplo02.py

sslppractice/propython

fa470c3bf0dcfbb26037146d77c7491596cabb26

[ "MIT" ]

null

raspagem/random/exemplo02.py

sslppractice/propython

fa470c3bf0dcfbb26037146d77c7491596cabb26

[ "MIT" ]

null

raspagem/random/exemplo02.py

sslppractice/propython

fa470c3bf0dcfbb26037146d77c7491596cabb26

[ "MIT" ]

null

from requests import get from bs4 import BeautifulSoup url = 'http://www.ifce.edu.br' page = requests.get(url) texto = page.content.decode('utf-8')

18.75

36

0.733333

24

150

4.583333

0.75

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0.015267

0.126667

150

7

37

21.428571

0.824427

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0.18

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0

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0.4

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1

0

null

0

1

0

null

0

1

0

3

40d7d613ed8c0607f2eb5eeeae10addbd852ee79

113

py

Python

Text Proccessing/substring.py

DiyanKalaydzhiev23/fundamentals---python

7fa032d9a3270648ffa383bb00dad8e51613189d

[ "MIT" ]

null

Text Proccessing/substring.py

DiyanKalaydzhiev23/fundamentals---python

7fa032d9a3270648ffa383bb00dad8e51613189d

[ "MIT" ]

null

Text Proccessing/substring.py

DiyanKalaydzhiev23/fundamentals---python

7fa032d9a3270648ffa383bb00dad8e51613189d

[ "MIT" ]

null

to_remove = input() word = input() while to_remove in word: word = word.replace(to_remove, '') print(word)

14.125

38

0.672566

17

113

4.294118

0.470588

0.328767

0

0.185841

113

7

39

16.142857

0.793478

0

1

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false

0

0.2

1

0

null

1

0

1

0

null

0

3

40ebec31594607059ed779b66dc8d6e55e8b9128

2,202

py

Python

src/abaqus/Connector/ConnectorStop.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/Connector/ConnectorStop.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/Connector/ConnectorStop.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

from .ConnectorBehaviorOption import ConnectorBehaviorOption class ConnectorStop(ConnectorBehaviorOption): """The ConnectorStop object defines connector stops for one or more components of a connector's relative motion. The ConnectorStop object is derived from the ConnectorBehaviorOption object. Notes ----- This object can be accessed by: .. code-block:: python import section mdb.models[name].sections[name].behaviorOptions[i] import odbSection session.odbs[name].sections[name].behaviorOptions[i] The corresponding analysis keywords are: - CONNECTOR STOP """ def __init__(self, minMotion: float = None, maxMotion: float = None, components: tuple = ()): """This method creates a connector stop behavior option for a ConnectorSection object. Notes ----- This function can be accessed by: .. code-block:: python import connectorBehavior connectorBehavior.ConnectorStop import odbConnectorBehavior odbConnectorBehavior.ConnectorStop Parameters ---------- minMotion None or a Float specifying the lower bound for the connector's relative position for all specified components, or no lower bound. The default value is None. maxMotion None or a Float specifying the upper bound for the connector's relative position for all specified components, or no upper bound. The default value is None. components A sequence of Ints specifying the components of relative motion for which the behavior is defined. Possible values are 1 ≤≤ *components* ≤≤ 6. Only available components can be specified. The default value is an empty sequence. Returns ------- A ConnectorStop object. Raises ------ ValueError and TextError. """ super().__init__() pass def setValues(self): """This method modifies the ConnectorStop object. Raises ------ ValueError. """ pass

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0.222707

0.148472

0.09607

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0.001315

0.309264

2,202

71

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null

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1

0

3

40eef1cd77552938b0e5bfd59e84c1ca988af2dc

3,651

py

Python

pytorch_lightning/core/__init__.py

skepticleo/pytorch-lightning

6a39573267e4757c7443a519a48037a6e91da3b3

[ "Apache-2.0" ]

null

pytorch_lightning/core/__init__.py

skepticleo/pytorch-lightning

6a39573267e4757c7443a519a48037a6e91da3b3

[ "Apache-2.0" ]

null

pytorch_lightning/core/__init__.py

skepticleo/pytorch-lightning

6a39573267e4757c7443a519a48037a6e91da3b3

[ "Apache-2.0" ]

1

2020-03-02T11:53:08.000Z

""" A LightningModule is a strict superclass of torch.nn.Module but provides an interface to standardize the "ingredients" for a research or production system. - The model/system definition (__init__) - The model/system computations (forward) - What happens in the training loop (training_step, training_end) - What happens in the validation loop (validation_step, validation_end) - What happens in the test loop (test_step, test_end) - What optimizers to use (configure_optimizers) - What data to use (train_dataloader, val_dataloader, test_dataloader) Most methods are optional. Here's a minimal example. .. code-block:: python import os import torch from torch.nn import functional as F from torch.utils.data import DataLoader from torchvision.datasets import MNIST import torchvision.transforms as transforms import pytorch_lightning as pl class CoolModel(pl.LightningModule): def __init__(self): super(CoolModel, self).__init__() self.l1 = torch.nn.Linear(28 * 28, 10) def forward(self, x): return torch.relu(self.l1(x.view(x.size(0), -1))) def training_step(self, batch, batch_idx): x, y = batch y_hat = self.forward(x) return {'loss': F.cross_entropy(y_hat, y)} def configure_optimizers(self): return torch.optim.Adam(self.parameters(), lr=0.02) def train_dataloader(self): return DataLoader(MNIST(os.getcwd(), train=True, download=True, transform=transforms.ToTensor()), batch_size=32) Which you can train by doing: .. code-block:: python trainer = pl.Trainer() model = CoolModel() trainer.fit(model) If you wanted to add a validation loop .. code-block:: python class CoolModel(pl.LightningModule): def validation_step(self, batch, batch_idx): x, y = batch y_hat = self.forward(x) return {'val_loss': F.cross_entropy(y_hat, y)} def validation_end(self, outputs): val_loss_mean = torch.stack([x['val_loss'] for x in outputs]).mean() return {'val_loss': val_loss_mean} def val_dataloader(self): # can also return a list of val dataloaders return DataLoader(MNIST(os.getcwd(), train=True, download=True, transform=transforms.ToTensor()), batch_size=32) Or add a test loop .. code_block:: python class CoolModel(pl.LightningModule): def test_step(self, batch, batch_idx): x, y = batch y_hat = self.forward(x) return {'test_loss': F.cross_entropy(y_hat, y)} def test_end(self, outputs): test_loss_mean = torch.stack([x['test_loss'] for x in outputs]).mean() return {'test_loss': test_loss_mean} def test_dataloader(self): # OPTIONAL # can also return a list of test dataloaders return DataLoader(MNIST(os.getcwd(), train=False, download=True, transform=transforms.ToTensor()), batch_size=32) Check out this `COLAB <https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=HOk9c4_35FKg>`_ for a live demo. .. note:: Remove all .cuda() or .to() calls from LightningModules. See: `the multi-gpu training guide for details <multi_gpu.rst>`_. """ from .decorators import data_loader from .lightning import LightningModule __all__ = ['LightningModule', 'data_loader'] # __call__ = __all__

33.190909

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0.026714

0.021371

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0.265681

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0.827303

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null

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1

0

null

0

1

0

1

0

3

40f3e825b8dac6a3d6c7a8a7da8213714fd11da5

140

py

Python

ghost_chat/settings/dev.py

durandj/ghost-chat

85e454c9bb72c3b65ae8e23a4d4bd2c836398a51

[ "MIT" ]

null

ghost_chat/settings/dev.py

durandj/ghost-chat

85e454c9bb72c3b65ae8e23a4d4bd2c836398a51

[ "MIT" ]

null

ghost_chat/settings/dev.py

durandj/ghost-chat

85e454c9bb72c3b65ae8e23a4d4bd2c836398a51

[ "MIT" ]

null

# pylint: disable=unused-wildcard-import, wildcard-import from .base import * DEBUG = True TEMPLATE_DEBUG = True STATIC_ROOT = 'static'

14

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0.15

140

9

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15.555556

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null

1

0

1

0

null

0

3

40fb0dc15dddbda0dd962d986e2aea8e819c38c0

844

py

Python

users/admin.py

katieefrey/Bib_Search

de86e33e5e2d44fd974f10d2efd41377eb5d8c8f

[ "MIT" ]

null

users/admin.py

katieefrey/Bib_Search

de86e33e5e2d44fd974f10d2efd41377eb5d8c8f

[ "MIT" ]

6

2020-06-15T20:20:16.000Z

2021-09-22T18:50:23.000Z

users/admin.py

katieefrey/Bib_Search

de86e33e5e2d44fd974f10d2efd41377eb5d8c8f

[ "MIT" ]

null

from django.contrib import admin from django.contrib.auth import get_user_model from django.contrib.auth.admin import UserAdmin from django.contrib.auth.models import Group from .forms import CustomUserCreationForm, CustomUserChangeForm from .models import CustomUser, Bibgroup class CustomUserAdmin(UserAdmin): add_form = CustomUserCreationForm form = CustomUserChangeForm model = CustomUser list_display = ['username', 'email', 'bibgroup'] fieldsets = ( (None, {'fields': ('email', 'password')}), ('Personal info', {'fields': ('first_name', 'last_name', 'devkey','bibgroup')}), ('Permissions', {'fields': ('is_active', 'is_staff', 'is_superuser', 'groups', 'user_permissions')}) ) admin.site.register(CustomUser, CustomUserAdmin) admin.site.register(Bibgroup) admin.site.unregister(Group)

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null

0

null

0

1

0

1

0

3

dc050d606c89cf7963f08005824d3bb5ee228d2d

145

py

Python

profiles_api/urls.py

frikinomad/rishi-profiles-rest-api

c19b41acdd164deac40b178390533096f0316a2f

[ "MIT" ]

null

profiles_api/urls.py

frikinomad/rishi-profiles-rest-api

c19b41acdd164deac40b178390533096f0316a2f

[ "MIT" ]

null

profiles_api/urls.py

frikinomad/rishi-profiles-rest-api

c19b41acdd164deac40b178390533096f0316a2f

[ "MIT" ]

null

from django.urls import path from .views import HelloApiView urlpatterns = [ path('hello-view/', HelloApiView.as_view(), name="apiview"), ]

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0.724138

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145

5.777778

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0

null

0

1

0

null

0

1

0

3

dc1334a054d7565d6f701792ee27060d4fa6aac2

1,603

py

Python

src/deepcv/meta/data/viz.py

PaulEmmanuelSotir/DeepCV

4c0ed68d47dceb713d7f34ca258dad957bcd3611

[ "MIT" ]

6

2020-04-05T13:12:02.000Z

2022-03-13T06:27:55.000Z

src/deepcv/meta/data/viz.py

PaulEmmanuelSotir/DeepCV

4c0ed68d47dceb713d7f34ca258dad957bcd3611

[ "MIT" ]

null

src/deepcv/meta/data/viz.py

PaulEmmanuelSotir/DeepCV

4c0ed68d47dceb713d7f34ca258dad957bcd3611

[ "MIT" ]

2

2020-04-19T21:10:26.000Z

2021-04-23T22:19:32.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Data visualization meta module - viz.py - `DeepCV`__ .. moduleauthor:: Paul-Emmanuel Sotir """ import collections from pathlib import Path from types import ModuleType from typing import Optional, Union, Tuple import numpy as np import matplotlib import torch from PIL import Image import deepcv.utils __all__ = ['plot', 'sample_tumbails', 'plot_tumbails'] __author__ = 'Paul-Emmanuel Sotir' def plot(backend: ModuleType = matplotlib, show_in_tensorboard: bool = False, **plot_kwargs): raise NotImplementedError # if backend is matplotlib: # img = matplotlib.plot(**plot_kwargs) # elif backend is seaborn: # img = seaborn.plot(**plot_kwargs) # elif backend is altair: # img = altair.plot(**plot_kwargs) # else: # raise ValueError(f'Error: Unrecognized plotting backend: "{backend}"') if show_in_tensorboard: raise NotImplementedError def sample_tumbails(datatset, image_count: int = 64, tumbail_size: Tuple[int, int] = (32, 32)): with datatset.threadlocal_shuffle(): for image, _taget in datatset[:image_count]: tumb = image.thumbnail(tumbail_size) raise NotImplementedError # TODO: aggregate tumbails into one PIL Image def plot_tumbails(tumbails): raise NotImplementedError # TODO: generate (or at least simplify generation) architectecture diagram by feeding pytorch computation graph into http://alexlenail.me/NN-SVG/index.html if __name__ == '__main__': cli = deepcv.utils.import_tests().test_module_cli(__file__) cli()

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0

1

0

1

0

3

dc178b0e2a80bc75dd297b43da78e1af8c84cb65

409

py

Python

property_mapper/exceptions.py

Yuego/python-property-mapper

c36f19829e57eb802bbe461cc4fb8d4ac4640201

[ "MIT" ]

null

property_mapper/exceptions.py

Yuego/python-property-mapper

c36f19829e57eb802bbe461cc4fb8d4ac4640201

[ "MIT" ]

null

property_mapper/exceptions.py

Yuego/python-property-mapper

c36f19829e57eb802bbe461cc4fb8d4ac4640201

[ "MIT" ]

null

class PropertyMapperException(Exception): pass class UnsupportedType(PropertyMapperException): pass class WrongType(PropertyMapperException): pass class OverrideForbidden(PropertyMapperException): pass class ValidationError(Exception): """ Ошибка при заполнении данных маппера. Либо присутствуют неизвестные параметры, либо не заполнены все известные. """ pass

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0.313725

0

0.193154

409

23

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0.927273

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0.5

0

1

0

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0

0.5

0

null

0

1

0

null

0

1

0

3

908afe0e979a5b3af75eced742db413c36e166a7

756

py

Python

app/queries.py

cobanov/demc-homework

82b45da016b80055a39afb22dde5d32653abf26e

[ "MIT" ]

2

2021-03-06T22:01:27.000Z

2021-03-08T18:18:26.000Z

app/queries.py

cobanov/demc-homework

82b45da016b80055a39afb22dde5d32653abf26e

[ "MIT" ]

null

app/queries.py

cobanov/demc-homework

82b45da016b80055a39afb22dde5d32653abf26e

[ "MIT" ]

null

top_avg = """SELECT * FROM rm_episodes INNER JOIN ratings ON rm_episodes.tconst = ratings.tconst ORDER BY averageRating DESC LIMIT 5 """ worst_avg = """SELECT * FROM rm_episodes INNER JOIN ratings ON rm_episodes.tconst = ratings.tconst ORDER BY averageRating ASC LIMIT 5 """ top_vote = """SELECT * FROM rm_episodes INNER JOIN ratings ON rm_episodes.tconst = ratings.tconst ORDER BY numVotes DESC LIMIT 5 """ worst_vote = """SELECT * FROM rm_episodes INNER JOIN ratings ON rm_episodes.tconst = ratings.tconst ORDER BY numVotes ASC LIMIT 5 """ seven_b = """SELECT * FROM name_basics WHERE birthYear > 2000 AND primaryProfession LIKE '%music_department%' AND primaryProfession LIKE '%actress%' """ seven_c = """select count(*) from four_actress """

16.8

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0

1

0

1

0

1

0

null

0

3

90a044b2dfe785dce5320b78916acbed818a6c87

1,034

py

Python

python/msc/entry/q13.py

gerritjvv/optimization_algorithms

eab2e8fff39eeab8d9be45af3dae3be1a62be3ba

[ "MIT" ]

null

python/msc/entry/q13.py

gerritjvv/optimization_algorithms

eab2e8fff39eeab8d9be45af3dae3be1a62be3ba

[ "MIT" ]

null

python/msc/entry/q13.py

gerritjvv/optimization_algorithms

eab2e8fff39eeab8d9be45af3dae3be1a62be3ba

[ "MIT" ]

null

# Q13 import numpy as np import matplotlib.pyplot as plt def f_x(a): def f(t): return a * np.cos(t) ** 3 return f def f_dx(a): def f(t): return a * -3 * np.sin(t) * (np.cos(t) ** 2) return f def f_y(a): def f(t): return a * np.sin(t) ** 3 return f def f_dy(a): def f(t): return a * 3 * (np.sin(t) ** 2) * (np.cos(t)) return f def f_integrand(a): y_dy = f_dy(a); x_dx = f_dx(a); def f(t): return np.sqrt(x_dx(t) ** 2 + y_dy(t) ** 2) return f def mc_integrate(f, a, b, n=1000000): # Monte Carlo vals = np.random.uniform(a, b, n) y = np.vectorize(f)(vals) y_mean = np.sum(y) / n integ = (b - a) * y_mean return integ x = np.linspace(0, np.pi * 2) y = np.vectorize(f_integrand(1))(x) plt.plot(x, y) plt.show() mc_area = mc_integrate(f_integrand(1), 0, np.pi * 2) print(f"MC Area: {mc_area}") # 2 * np.sqrt(3) => 3.4641016151377544 # 3 * np.sqrt(3) => 5.196152422706632 # area is 6.0030577246980386

14.771429

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69

54

14.985507

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0

null

0

null

0

1

0

1

0

3

90ad26f0f396ecf4777e888f0d85b3ac1a5daf97

450

py

Python

src/waldur_jira/migrations/0009_drop_old_fields.py

opennode/nodeconductor-assembly-waldur

cad9966389dc9b52b13d2301940c99cf4b243900

[ "MIT" ]

2

2017-01-20T15:26:25.000Z

2017-08-03T04:38:08.000Z

src/waldur_jira/migrations/0009_drop_old_fields.py

opennode/nodeconductor-assembly-waldur

cad9966389dc9b52b13d2301940c99cf4b243900

[ "MIT" ]

null

src/waldur_jira/migrations/0009_drop_old_fields.py

opennode/nodeconductor-assembly-waldur

cad9966389dc9b52b13d2301940c99cf4b243900

[ "MIT" ]

null

# Generated by Django 1.11.7 on 2018-01-03 13:39 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('waldur_jira', '0008_unique_props'), ] operations = [ migrations.RemoveField( model_name='project', name='available_for_all', ), migrations.RemoveField( model_name='project', name='reporter_field', ), ]

21.428571

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0.58

45

450

5.622222

0.755556

0.166008

0.205534

0.237154

0.324111

0

0.064516

0.311111

450

20

49

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0

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0

null

0

1

0

1

0

null

0

3

90c8d1852ef07e4d75839a13264533ede2b67f0e

1,401

py

Python

tests/lib/test_py3compat.py

guyongqiangx/construct

72c80035f703d29b1dc62a3e08831d68b29a6e40

[ "MIT" ]

null

tests/lib/test_py3compat.py

guyongqiangx/construct

72c80035f703d29b1dc62a3e08831d68b29a6e40

[ "MIT" ]

1

2021-04-16T12:55:44.000Z

2021-04-16T12:58:14.000Z

tests/lib/test_py3compat.py

guyongqiangx/construct

72c80035f703d29b1dc62a3e08831d68b29a6e40

[ "MIT" ]

1

2021-04-16T12:53:35.000Z

from declarativeunittest import * from construct.lib.py3compat import * def test_version(): assert PY2 or PY3 def test_int_byte(): assert int2byte(5) == b"\x05" assert int2byte(255) == b"\xff" assert byte2int(b"\x05") == 5 assert byte2int(b"\xff") == 255 assert all(byte2int(int2byte(i)) == i for i in range(256)) def test_str_bytes(): assert str2bytes("abc") == b"abc" assert bytes2str(b"abc") == "abc" assert bytes2str(str2bytes("abc123\n")) == "abc123\n" assert str2bytes(bytes2str(b"abc123\n")) == b"abc123\n" def test_str_unicode(): assert str2unicode("abc") == u"abc" assert unicode2str(u"abc") == "abc" assert unicode2str(str2unicode("abc123\n")) == "abc123\n" assert str2unicode(unicode2str(u"abc123\n")) == "abc123\n" def test_iteratebytes(): assert list(iteratebytes(b"abc")) == [b"a", b"b", b"c"] assert all(list(iteratebytes(int2byte(i))) == [int2byte(i)] for i in range(256)) def test_iterateints(): assert list(iterateints(b"abc")) == [97,98,99] assert all(list(iterateints(int2byte(i))) == [i] for i in range(256)) def test_bytes(): assert bytes() == b'' assert bytes(2) == b'\x00\x00' assert bytes([1,2]) == b'\x01\x02' def test_bytes_integers(): assert bytes2integers(b'abc')[0] == 97 assert list(bytes2integers(b'abc')) == [97,98,99] assert integers2bytes([97,98,99]) == b'abc'

31.840909

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0.094488

0.069741

0

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0.170592

1,401

43

85

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0.098501

0

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0.235294

true

0

0.058824

0

0.294118

0

null

0

null

0

1

0

1

0

3

90d59177b3a6aa74a665abead34cadee970b3224

255

py

Python

doepy/models/discrete_time/__init__.py

scwolof/doepy

acb2cad95428de2c14b28563cff1aa30679e1f39

[ "MIT" ]

1

2020-04-23T13:43:35.000Z

doepy/models/discrete_time/__init__.py

scwolof/doepy

acb2cad95428de2c14b28563cff1aa30679e1f39

[ "MIT" ]

null

doepy/models/discrete_time/__init__.py

scwolof/doepy

acb2cad95428de2c14b28563cff1aa30679e1f39

[ "MIT" ]

1

2021-06-13T14:38:32.000Z

from .model import dtModel from .linearmodel import dtLinearModel try: import GPy except: import warnings warnings.warn("Could not import GPy - cannot import GP models") else: from .gpmodel import dtGPModel from .sparsegpmodel import dtSparseGPModel

23.181818

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255

6.212121

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0

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255

11

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0

1

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true

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null

0

null

0

1

0

1

0

1

0

3

90e047548402bbf0cf9867168c0fbdd3d1ed1c02

214

py

Python

pyplan/pyplan/modelmanager/classes/copyAsValuesParam.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

17

2019-12-04T19:22:19.000Z

2021-07-28T11:17:05.000Z

pyplan/pyplan/modelmanager/classes/copyAsValuesParam.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

9

2019-12-13T15:34:43.000Z

2022-02-10T11:43:00.000Z

pyplan/pyplan/modelmanager/classes/copyAsValuesParam.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

5

2019-12-04T15:57:06.000Z

2021-08-20T19:59:26.000Z

class CopyAsValuesParam(object): def __init__(self, **kargs): self.nodeId = kargs["nodeId"] if "nodeId" in kargs else None self.asNewNode = kargs["asNewNode"] if "asNewNode" in kargs else False

42.8

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0

null

0

1

0

null

0

1

0

3

90efb0b851bf6fb283689a9f36581e1e22a43383

170

py

Python

fs_image/buck/tests/coverage_test_helper.py

snarkmaster/buckit

bc1a176385226ccae1e518c4c9306f7af131b053

[ "BSD-3-Clause" ]

null

fs_image/buck/tests/coverage_test_helper.py

snarkmaster/buckit

bc1a176385226ccae1e518c4c9306f7af131b053

[ "BSD-3-Clause" ]

null

fs_image/buck/tests/coverage_test_helper.py

snarkmaster/buckit

bc1a176385226ccae1e518c4c9306f7af131b053

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 def coverage_test_helper(): one = 10 + 3 - 12 print('This function should be called {one} time to achieve 100% coverage') return one

21.25

79

0.670588

26

170

4.307692

0.884615

0

0.068182

0.223529

170

7

80

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0

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0

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0

0.5

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1

0

null

0

1

0

null

0

1

0

3

290b55516be186677e95b8a6050c716bf46538b2

837

py

Python

maro/utils/exception/base_exception.py

yangboz/maro

0973783e55ca07bf8e177910c9d47854117a4ea8

[ "MIT" ]

598

2020-09-23T00:50:22.000Z

2022-03-31T08:12:54.000Z

maro/utils/exception/base_exception.py

gx9702/maro

38c796f0a7ed1e0f64c299d96c6e0df032401fa9

[ "MIT" ]

235

2020-09-22T10:20:48.000Z

2022-03-31T02:10:03.000Z

maro/utils/exception/base_exception.py

gx9702/maro

38c796f0a7ed1e0f64c299d96c6e0df032401fa9

[ "MIT" ]

116

2020-09-22T09:19:04.000Z

2022-02-12T05:04:07.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from .error_code import ERROR_CODE class MAROException(Exception): """The base exception class for MARO. Args: error_code (int): the predefined MARO error code. You can find the detailed definition in: `maro.utils.exception.error_code.py`. msg (str): Description of the error. Defaults to None, which will show the base error information. """ def __init__(self, error_code: int = 1000, msg: str = None): self.error_code = error_code self.strerror = msg if msg else ERROR_CODE[self.error_code] def __str__(self): return self.strerror if isinstance(self.strerror, str) else str(self.strerror) def __repr__(self): return f"{self.__class__.__name__}({str(self)})"

31

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false

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0.111111

0.222222

0.777778

0

null

0

null

0

1

0

1

0

3

290c27bb1288e36c665ab5fa6eec97965c5da02f

216

py

Python

python/testData/inspections/PyUnresolvedReferencesInspection/innerClassAsNamedTupleDefinitionMember.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2018-12-29T09:53:39.000Z

2018-12-29T09:53:42.000Z

python/testData/inspections/PyUnresolvedReferencesInspection/innerClassAsNamedTupleDefinitionMember.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/PyUnresolvedReferencesInspection/innerClassAsNamedTupleDefinitionMember.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from typing import NamedTuple class User(NamedTuple): class PrivLvl: ADMIN = 1 OPERATOR = 2 name: str level: PrivLvl = PrivLvl.ADMIN User.PrivLvl admin = User('MrRobot') admin.PrivLvl

14.4

34

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5.461538

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0.225352

0

0.012579

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0.5

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null

1

0

null

0

3

2920b37b883055b365215e546c8065c1dc041e24

213

py

Python

src/lab_text_processing/nltk.py

labhackercd/lab-text-processing

9508dde2c8fc5fa8af41d1496e63f2c23944db11

[ "MIT" ]

null

src/lab_text_processing/nltk.py

labhackercd/lab-text-processing

9508dde2c8fc5fa8af41d1496e63f2c23944db11

[ "MIT" ]

null

src/lab_text_processing/nltk.py

labhackercd/lab-text-processing

9508dde2c8fc5fa8af41d1496e63f2c23944db11

[ "MIT" ]

null

import nltk def download_modules(): nltk.download('floresta') nltk.download('mac_morpho') nltk.download('machado') nltk.download('rslp') nltk.download('punkt') nltk.download('stopwords')

19.363636

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10

32

21.3

0.80226

0

0.201878

0

1

0.125

true

0

0.125

0

0.25

0

1

0

null

1

0

null

0

1

0

3

292e5cbf0a02f76341f6aae5091d112c08b2124b

155

py

Python

test/CC/gcc-non-utf8-fixture/gcc-non-utf8.py

jcassagnol-public/scons

8eaf585a893757e68c9e4a6e25d375021fa5eab7

[ "MIT" ]

1

2021-12-31T16:46:10.000Z

test/CC/gcc-non-utf8-fixture/gcc-non-utf8.py

jcassagnol-public/scons

8eaf585a893757e68c9e4a6e25d375021fa5eab7

[ "MIT" ]

null

test/CC/gcc-non-utf8-fixture/gcc-non-utf8.py

jcassagnol-public/scons

8eaf585a893757e68c9e4a6e25d375021fa5eab7

[ "MIT" ]

null

import sys if __name__ == '__main__': if '--version' in sys.argv: with open("data", "rb") as f: sys.stdout.buffer.write(f.read())

22.142857

45

0.56129

22

155

3.590909

0.818182

0

0.264516

155

6

46

25.833333

0.692982

0

0.148387

0

1

0

true

0

0.2

0

0.2

0

1

0

null

0

1

0

null

0

1

0

3

29394931074cc5bbdb7255495b026b2c1efbfb6c

112

py

Python

ldap_backend/__init__.py

haginara/django-ldap-backend

3770746c0e7f7bacce61ba0687c01e73228d6e4d

[ "MIT" ]

null

ldap_backend/__init__.py

haginara/django-ldap-backend

3770746c0e7f7bacce61ba0687c01e73228d6e4d

[ "MIT" ]

null

ldap_backend/__init__.py

haginara/django-ldap-backend

3770746c0e7f7bacce61ba0687c01e73228d6e4d

[ "MIT" ]

null

name = "django_ldap_backend" __version_info__ = (0, 9, 1) __version__ = ".".join(map(str, __version_info__))

28

51

0.705357

15

112

4.2

0.8

0.349206

0

0.030928

0.133929

112

3

52

37.333333

0.618557

0

0.183486

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

2985e862a3191ddcf6431185046c11c79eb7fd1d

261

py

Python

Modulo 3/090.py

thiago19maciel/Exercicios-em-Python

0d46816caf655c6e870510bb1136964854fc875f

[ "MIT" ]

1

2022-03-22T22:36:48.000Z

Modulo 3/090.py

thiago19maciel/Exercicios-em-Python

0d46816caf655c6e870510bb1136964854fc875f

[ "MIT" ]

null

Modulo 3/090.py

thiago19maciel/Exercicios-em-Python

0d46816caf655c6e870510bb1136964854fc875f

[ "MIT" ]

null

dados_aluno = {'Nome': str(input('Nome do aluno: ')), 'Media': float(input('Média: '))} if dados_aluno['Media'] > 7: dados_aluno['situação'] = 'Aprovado' else: dados_aluno['situação'] = 'Reprovado' print(f'Situação é igual a {dados_aluno["situação"]} ')

43.5

87

0.659004

35

261

4.771429

0.571429

0.299401

0.323353

0

0.004405

0.130268

261

6

88

43.5

0.731278

0

0.435115

0.09542

0

1

0

false

0

0.166667

0

null

1

0

1

0

null

0

3

462a8ac3eeb0319c2c16777e3541aaff3ad6cc09

6,417

py

Python

lyteflow/kernels/filter.py

MammothStack/Lyteflow

63a60f593b954f8a224fcd4864fe6af82d20dd91

[ "MIT" ]

1

2021-08-25T02:43:19.000Z

lyteflow/kernels/filter.py

MammothStack/Lyteflow

63a60f593b954f8a224fcd4864fe6af82d20dd91

[ "MIT" ]

null

lyteflow/kernels/filter.py

MammothStack/Lyteflow

63a60f593b954f8a224fcd4864fe6af82d20dd91

[ "MIT" ]

null

"""All kernels that are involved with filtering their inputs This module contains kernels that filter by columns or by index, as well as column and index renaming """ # Standard library imports import warnings # Third party imports import numpy as np import pandas as pd # Local application imports from lyteflow.kernels.base import PipeElement class ColumnFilter(PipeElement): """A filter applied to columns selecting only the given columns of the DataFrame This is a subclass of PipeElement and therefore inherits all of its functions except for the transform function, which is overridden. Methods ------------------ transform(x) Filters the columns on the given DataFrame """ def __init__(self, columns, ignore_absent=False, **kwargs): """Constructor Arguments ------------------ columns : list A list of columns that should be filtered for ignore_absent : bool If columns which are not found in the given columns should be ignored or should throw an error """ PipeElement.__init__(self, **kwargs) self.columns = columns self.ignore_absent = ignore_absent def transform(self, x): """Filters the DataFrame for the given columns Arguments ------------------ x : pd.DataFrame The DataFrame that should be filtered Returns ------------------ x : pd.DataFrame Filtered DataFrame Raises ------------------ KeyError When the ignore_absent is False and the set columns is not found in the given DataFrame """ found_columns = x.columns.intersection(self.columns) if len(found_columns) != len(self.columns) and not self.ignore_absent: raise KeyError( f"{set(self.columns).difference(x.columns)} not found in the DataFrame" ) else: return x.loc[:, found_columns] class IndexFilter(PipeElement): """A filter applied to index selecting only the given index of the DataFrame This is a subclass of PipeElement and therefore inherits all of its functions except for the transform function, which is overridden. Methods ------------------ transform(x) Filters the index on the given DataFrame """ def __init__(self, index, ignore_absent=False, **kwargs): """Constructor Arguments ------------------ index : list A list of indices that should be filtered for ignore_absent : bool If indices which are not found in the given index should be ignored or should throw an error """ PipeElement.__init__(self, **kwargs) self.index = index self.ignore_absent = ignore_absent def transform(self, x): """Filters the DataFrame for the given index Arguments ------------------ x : pd.DataFrame The DataFrame that should be filtered Returns ------------------ x : pd.DataFrame Filtered DataFrame Raises ------------------ KeyError When the ignore_absent is False and the set index is not found in the given DataFrame """ found_indices = x.index.intersection(self.index) if len(found_indices) != len(self.index) and not self.ignore_absent: raise KeyError( f"{set(self.index).difference(x.index)} not found in the DataFrame" ) else: return x.loc[found_indices, :] class Filter(PipeElement): """A filter applied to index and columns of the given DataFrame This is a subclass of PipeElement and therefore inherits all of its functions except for the transform function, which is overridden. Methods ------------------ transform(x) Filters the column and index of the given DataFrame """ def __init__( self, index=None, columns=None, ignore_absent_index=False, ignore_absent_columns=False, **kwargs, ): """Constructor Arguments ------------------ index : list A list of indices that should be filtered for coluns :list A list of columns that should be filtered for ignore_absent_index : bool If indices which are not found in the given index should be ignored or should throw an error ignore_absent_columns : bool If columns which are not found in the given columns should be ignored or should throw an error """ PipeElement.__init__(self, **kwargs) self.index = index self.columns = columns self.ignore_absent_index = ignore_absent_index self.ignore_absent_columns = ignore_absent_columns def transform(self, x): """Filters the DataFrame for the given index Arguments ------------------ x : pd.DataFrame The DataFrame that should be filtered Returns ------------------ x : pd.DataFrame Filtered DataFrame Raises ------------------ KeyError When either ignore_absent_index, ignore_absent_columns are true and the given index or columns are not found, respectively """ if self.index is None: self.index = x.index else: found_indices = x.index.intersection(self.index) if len(found_indices) != len(self.index) and not self.ignore_absent_index: raise KeyError( f"{set(self.index).difference(x.index)} not found in the DataFrame" ) if self.columns is None: self.columns = x.columns else: found_columns = x.columns.intersection(self.columns) if ( len(found_columns) != len(self.columns) and not self.ignore_absent_columns ): raise KeyError( f"{set(self.columns).difference(x.columns)} not found in the DataFrame" ) return x.loc[found_indices, found_columns]

28.52

91

0.574412

723

6,417

4.998617

0.149378

0.07969

0.02767

0.035971

0.785556

0.757333

0.71223

0.685113

0.669065

0.665744

0

0.332087

6,417

224

92

28.647321

0.84321

0.476547

0

0.461538

0

0.10146

0.059954

0

1

0.092308

false

0

0.061538

0

0.246154

0

null

0

1

0

1

0

null

0

3

463a3267acaf90806635631292b4b85203367ba1

93

py

Python

abc/abc058/a/main.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

2

2022-01-22T07:56:58.000Z

2022-01-24T00:29:37.000Z

abc/abc058/a/main.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

abc/abc058/a/main.py

tonko2/AtCoder

5d617072517881d226d7c8af09cb88684d41af7e

[ "Xnet", "X11", "CECILL-B" ]

null

a, b, c = map(int, input().split()) if b - a == c - b: print("YES") else: print("NO")

18.6

35

0.473118

17

93

2.588235

0.705882

0

0.258065

93

5

36

18.6

0.637681

0

0.053191

0

1

0

true

0

0.4

1

0

null

0

1

0

null

0

1

0

3

466c65e0db2e030be35e12a5447c271c9726486b

71

py

Python

bot_constants.py

shadabk96/mm_hack

4e540aec91c724a6b602c9a5b0f0d4d6d4e5d01c

[ "Apache-2.0" ]

null

bot_constants.py

shadabk96/mm_hack

4e540aec91c724a6b602c9a5b0f0d4d6d4e5d01c

[ "Apache-2.0" ]

null

bot_constants.py

shadabk96/mm_hack

4e540aec91c724a6b602c9a5b0f0d4d6d4e5d01c

[ "Apache-2.0" ]

null

SCHEDULED_UPDATE_TIME_INTERVAL = 10 SCHEDULED_UPDATE_NUMBER_OF_DAYS = 1

35.5

35

0.901408

11

71

5.181818

0.818182

0.526316

0

0.045455

0.070423

71

2

36

35.5

0.818182

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

4674441ba52ba4fdbebe27b7304f823b9619c610

456

py

Python

kuwala/core/backend/app/database/utils/encoder.py

EteimZ/kuwala

d5a6aafa0bf7d0bca1a5dc33da414a386b5ca0b1

[ "Apache-2.0" ]

null

kuwala/core/backend/app/database/utils/encoder.py

EteimZ/kuwala

d5a6aafa0bf7d0bca1a5dc33da414a386b5ca0b1

[ "Apache-2.0" ]

null

kuwala/core/backend/app/database/utils/encoder.py

EteimZ/kuwala

d5a6aafa0bf7d0bca1a5dc33da414a386b5ca0b1

[ "Apache-2.0" ]

null

import json from fastapi.encoders import jsonable_encoder def list_props_to_json_props(base_object: dict, list_parameters: [str]) -> dict: jsonable_object = jsonable_encoder(base_object) for lp in list_parameters: jsonable_object[lp] = json.dumps(jsonable_object[lp]) return jsonable_object def list_of_dicts_to_dict(list_of_dicts: [dict], key: str, value: str): return dict(map(lambda d: (d[key], d[value]), list_of_dicts))

26.823529

80

0.747807

69

456

4.623188

0.405797

0.175549

0.103448

0

0.151316

456

16

81

28.5

0.824289

0

1

0.222222

false

0

0.222222

0.111111

0.666667

0

null

0

null

0

1

0

1

0

3

46777f02fe9d31985c3549f46fe79b8649ceaa37

93

py

Python

NovelBlog/apps.py

Novel-Public-Health/Novel-Public-Health

fbb7dd0da64ae4fc9641097ca8056152129bd83b

[ "CC0-1.0" ]

null

NovelBlog/apps.py

Novel-Public-Health/Novel-Public-Health

fbb7dd0da64ae4fc9641097ca8056152129bd83b

[ "CC0-1.0" ]

null

NovelBlog/apps.py

Novel-Public-Health/Novel-Public-Health

fbb7dd0da64ae4fc9641097ca8056152129bd83b

[ "CC0-1.0" ]

null

from django.apps import AppConfig class NovelblogConfig(AppConfig): name = 'NovelBlog'

15.5

33

0.763441

10

93

7.1

0.9

0

0.16129

93

5

34

18.6

0.910256

0

0.096774

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

467b4617b167307f5b0011580e797cb504cf89b1

2,052

py

Python

maga/test/maga_test.py

jobine/smartAI-plugin

b19709315eccf553518fceed1b369be709b113ce

[ "MIT" ]

null

maga/test/maga_test.py

jobine/smartAI-plugin

b19709315eccf553518fceed1b369be709b113ce

[ "MIT" ]

null

maga/test/maga_test.py

jobine/smartAI-plugin

b19709315eccf553518fceed1b369be709b113ce

[ "MIT" ]

null

from requests import Request from maga.maga_plugin_service import MagaPluginService from os import environ import json if __name__ == '__main__': environ['SERVICE_CONFIG_FILE'] = 'maga/config/service_config.yaml' maga_plugin = MagaPluginService() request = Request() request.data = r'{"groupId":"8e826a5d-1b01-4ff4-a699-38bea97e17de","seriesSets":[{"seriesSetId":"b643e346-6883-4764-84a5-e63a3788eec9","metricId":"dc5b66cf-6dd0-4c83-bb8f-d849e68a7660","dimensionFilter":{"ts_code":"600030.SH"},"seriesSetName":"Stock price_high","metricMeta":{"granularityName":"Daily","granularityAmount":0,"datafeedId":"29595b1c-531f-445c-adcf-b75b2ab93c34","metricName":"high","datafeedName":"Stock price","dataStartFrom":1105315200000}},{"seriesSetId":"0d4cce4d-f4d4-4cef-be87-dbd28062abfc","metricId":"3274f7e6-683b-4d92-b134-0c1186e416a1","dimensionFilter":{"ts_code":"600030.SH"},"seriesSetName":"Stock price_change","metricMeta":{"granularityName":"Daily","granularityAmount":0,"datafeedId":"29595b1c-531f-445c-adcf-b75b2ab93c34","metricName":"change","datafeedName":"Stock price","dataStartFrom":1105315200000}}],"gran":{"granularityString":"Daily","customInSeconds":0},"instance":{"instanceName":"Maga_Instance_1586447708033","instanceId":"528cbe52-cb6a-44c0-b388-580aba57f2f7","status":"Active","appId":"173276d9-a7ed-494b-9300-6dd1aa09f2c3","appName":"Maga","appDisplayName":"Maga","appType":"Internal","remoteModelKey":"","params":{"mergeMode":"Outer","tracebackWindow":28}},"startTime":"2020-03-05T00:00:00Z","endTime":"2020-05-18T00:00:00Z"}' #response = maga_plugin.train(request) #print(response) response = { 'modelId' : '6a4e3c1c-b2c9-11ea-a98b-da85f6078a2f'} status = maga_plugin.state(request, response['modelId']) #print(status) #inference_result = maga_plugin.inference(request, response['modelId']) #print(inference_result) models = maga_plugin.list_models(request) print(models) delete_result = maga_plugin.delete(request, response['modelId']) print(delete_result)

73.285714

1,277

0.747076

223

2,052

6.73991

0.569507

0.046574

0.043912

0.053892

0.266134

0.202262

0.133067

0

0.145026

0.069201

2,052

28

1,278

73.285714

0.641885

0.076998

0

0.066667

0.724868

0.697355

0

1

0

false

0

0.266667

0

0.266667

0.133333

0

null

0

1

0

1

null

0

3

468a88c64c36faaf5832204b3c9a110f7e2cc1f6

305

py

Python

hknweb/academics/views/course_surveys/survey.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

hknweb/academics/views/course_surveys/survey.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

hknweb/academics/views/course_surveys/survey.py

jyxzhang/hknweb

a01ffd8587859bf63c46213be6a0c8b87164a5c2

[ "MIT" ]

null

from hknweb.academics.views.base_viewset import AcademicEntityViewSet from hknweb.academics.models import Survey from hknweb.academics.serializers import SurveySerializer class SurveyViewSet(AcademicEntityViewSet): queryset = Survey.objects.order_by("-id") serializer_class = SurveySerializer

27.727273

69

0.832787

32

305

7.84375

0.625

0.119522

0.227092

0

0.104918

305

10

70

30.5

0.919414

0

0.009836

0

1

0

false

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

3

46927d22c47cf1dbaf9da85001f7d298bc14431c

168

py

Python

Control/routing.py

PPPokerFace/PokerFace

4d28a3bb093200669f2f7b337a907f035b650032

[ "MIT" ]

1

2019-01-06T08:33:24.000Z

Control/routing.py

PPPokerFace/PokerFace

4d28a3bb093200669f2f7b337a907f035b650032

[ "MIT" ]

null

Control/routing.py

PPPokerFace/PokerFace

4d28a3bb093200669f2f7b337a907f035b650032

[ "MIT" ]

null

# chat/routing.py from django.conf.urls import url from . import consumers websocket_urlpatterns = [ url('ws/welcome-data/', consumers.WelcomeDataShowConsumer), ]

21

63

0.761905

20

168

6.35

0.8

0

0.125

168

8

64

21

0.863946

0.089286

0

0.105263

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

d3b845cc16db871e21dbbde14211d3310afc2cc6

495

py

Python

build/lib/g3ar/dict_parser/__init__.py

VillanCh/g3ar

99e01dacc130b02a3759ff04b1d36c6b9e0111ff

[ "BSD-2-Clause" ]

48

2016-12-20T18:48:07.000Z

2021-07-28T07:39:38.000Z

build/lib/g3ar/dict_parser/__init__.py

VillanCh/g3ar

99e01dacc130b02a3759ff04b1d36c6b9e0111ff

[ "BSD-2-Clause" ]

null

build/lib/g3ar/dict_parser/__init__.py

VillanCh/g3ar

99e01dacc130b02a3759ff04b1d36c6b9e0111ff

[ "BSD-2-Clause" ]

24

2016-12-21T02:18:12.000Z

2021-11-30T04:19:45.000Z

#!/usr/bin/env python #coding:utf-8 """ Author: --<v1ll4n> Purpose: Simple and Quick Parse your dictionary FOR TENTEST PROGRAMMER! Created: 2016/12/16 """ from . import dict_parser from .dict_parser import * def get_dictparser(filename, session_id=DEFAULT_SESSION_ID, do_continue=False, session_data_file=SESSION_TABLE_FILE): return DictParser(filename, session_id, do_continue, session_data_file)

26.052632

76

0.646465

59

495

5.169492

0.694915

0.088525

0.163934

0.177049

0

0.030471

0.270707

495

19

77

26.052632

0.814404

0.292929

0

1

0.142857

false

0

0.285714

0.142857

0.571429

0

null

0

1

0

null

0

1

0

3

3103b4788675e9cb4050a8bdcd25e3d0681930f6

971

py

Python

offline/migrations/0001_initial.py

subaaaaaa/subapp

b9747dcd2d39e62b6dcca739016dae5c5aff3e9c

[ "MIT" ]

null

offline/migrations/0001_initial.py

subaaaaaa/subapp

b9747dcd2d39e62b6dcca739016dae5c5aff3e9c

[ "MIT" ]

6

2020-06-05T17:57:17.000Z

2021-09-07T23:50:31.000Z

offline/migrations/0001_initial.py

subaaaaaa/subapp

b9747dcd2d39e62b6dcca739016dae5c5aff3e9c

[ "MIT" ]

null

# Generated by Django 2.0 on 2018-01-06 22:29 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Lead', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('lno', models.CharField(max_length=20)), ('jname', models.CharField(max_length=50)), ('tel', models.CharField(max_length=20)), ('postal', models.CharField(max_length=15)), ('address1', models.CharField(max_length=100)), ('address2', models.CharField(max_length=100)), ('address3', models.CharField(max_length=100)), ('created_date', models.DateTimeField(default=django.utils.timezone.now)), ], ), ]

32.366667

114

0.578785

99

971

5.565657

0.555556

0.190563

0.228675

0.3049

0.241379

0

0.048921

0.284243

971

29

115

33.482759

0.743885

0.044284

0

1

0

0.065875

0

1

0

false

0

0.090909

0

0.272727

0

null

0

1

0

1

0

null

0

3

310b67ff16e502405bfed3fccd6624f2f82cd5d3

183

py

Python

python/hello.py

ViniKim/TIL

7597c885b6e154cb72c1a736acc1f6cb32d5481c

[ "MIT" ]

null

python/hello.py

ViniKim/TIL

7597c885b6e154cb72c1a736acc1f6cb32d5481c

[ "MIT" ]

null

python/hello.py

ViniKim/TIL

7597c885b6e154cb72c1a736acc1f6cb32d5481c

[ "MIT" ]

1

2018-05-23T03:35:10.000Z

for i in range(101): if i % 15 == 0: print("Fizzbuzz") elif i % 3 == 0: print("Fizz") elif i % 5 == 0: print("Buzz") else: print(i)

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Python

example/test_example.py

seberg/pytest-valgrind

13ea6334ff19ba636c6e235524ca807c7b4c0fc8

[ "MIT" ]

7

2019-04-05T02:20:18.000Z

2021-02-02T19:17:11.000Z

example/test_example.py

fridex/pytest-valgrind

886f328b20b8a354bdf06c3db58c7b7c04f45f20

[ "MIT" ]

2

2020-05-22T20:32:11.000Z

2020-09-07T22:44:45.000Z

example/test_example.py

seberg/pytest-valgrind

13ea6334ff19ba636c6e235524ca807c7b4c0fc8

[ "MIT" ]

2

2020-03-14T20:20:02.000Z

2020-11-12T14:20:27.000Z

""" This is a minimal example of tests which fail in pytest and can be used to check that it is working correctly. Run this example with: ```shell PYTHONMALLOC=malloc valgrind --show-leak-kinds=definite --log-file=/tmp/valgrind-output \ python -m pytest -vv --valgrind --valgrind-log=/tmp/valgrind-output ``` You can find a sample output (hopefully not completely outdated) next to this file. """ import pytest from pytest_valgrind.valgrind import create_leak, access_invalid def test_all_good(): # This test just passes, yay! pass def test_fails_but_valgrind_good(): assert 0 def test_valgrind_error(): # Test accesses invalid/uninitialized data on the C level access_invalid() def test_valgrind_leak(): # Test leaks a bit of memory on the C level create_leak() def test_valgrind_error_and_leak(): # Test both access invalid/unitialized data and creates a leak access_invalid() create_leak() @pytest.mark.valgrind_known_leak(reason="Leaks intentionally") def test_valgrind_leak_ignored(): create_leak() @pytest.mark.valgrind_known_error(reason="Errors intentionally") def test_valgrind_error_ignored(): access_invalid() @pytest.mark.valgrind_known_leak(reason="Leaks intentionally") def test_valgrind_leak_ignored_but_errors_as_well(): create_leak() access_invalid() def test_another_good_test(): # Just to show that the old leaks are obviously not still found. pass

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py

Python

config.py

jackklys/reweightedwakesleep

d235bec859e4dd274ccc27e1a552ce176621d4f3

[ "MIT" ]

null

config.py

jackklys/reweightedwakesleep

d235bec859e4dd274ccc27e1a552ce176621d4f3

[ "MIT" ]

null

config.py

jackklys/reweightedwakesleep

d235bec859e4dd274ccc27e1a552ce176621d4f3

[ "MIT" ]

null

DATASETS_DIR = '/datasets/' RESULTS_DIR = ''

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Python

fonts/FreeSansBold9pt7b.py

cnobile2012/Python-TFT

812a87e6f694eae338c3d9579ea98eae636f8f99

[ "MIT" ]

null

fonts/FreeSansBold9pt7b.py

cnobile2012/Python-TFT

812a87e6f694eae338c3d9579ea98eae636f8f99

[ "MIT" ]

null

fonts/FreeSansBold9pt7b.py

cnobile2012/Python-TFT

812a87e6f694eae338c3d9579ea98eae636f8f99

[ "MIT" ]

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[ 5, 7, 5, 9, 1, -12 ], # 0x22 '"' [ 10, 10, 12, 10, 0, -11 ], # 0x23 '#' [ 25, 9, 15, 10, 1, -13 ], # 0x24 '$' [ 42, 16, 13, 16, 0, -12 ], # 0x25 '%' [ 68, 12, 13, 13, 1, -12 ], # 0x26 '&' [ 88, 3, 5, 5, 1, -12 ], # 0x27 ''' [ 90, 6, 17, 6, 1, -12 ], # 0x28 '(' [ 103, 6, 17, 6, 0, -12 ], # 0x29 ')' [ 116, 5, 6, 7, 1, -12 ], # 0x2A '#' [ 120, 7, 8, 11, 2, -7 ], # 0x2B '+' [ 127, 3, 5, 4, 1, -1 ], # 0x2C ',' [ 129, 5, 2, 6, 0, -5 ], # 0x2D '-' [ 131, 3, 2, 4, 1, -1 ], # 0x2E '.' [ 132, 5, 13, 5, 0, -12 ], # 0x2F '/' [ 141, 9, 13, 10, 1, -12 ], # 0x30 '0' [ 156, 5, 13, 10, 2, -12 ], # 0x31 '1' [ 165, 9, 13, 10, 1, -12 ], # 0x32 '2' [ 180, 8, 13, 10, 1, -12 ], # 0x33 '3' [ 193, 8, 13, 10, 2, -12 ], # 0x34 '4' [ 206, 9, 13, 10, 1, -12 ], # 0x35 '5' [ 221, 9, 13, 10, 1, -12 ], # 0x36 '6' [ 236, 9, 13, 10, 0, -12 ], # 0x37 '7' [ 251, 10, 13, 10, 0, -12 ], # 0x38 '8' [ 268, 9, 13, 10, 1, -12 ], # 0x39 '9' [ 283, 3, 9, 4, 1, -8 ], # 0x3A ':' [ 287, 3, 12, 4, 1, -8 ], # 0x3B '' [ 292, 9, 9, 11, 1, -8 ], # 0x3C '<' [ 303, 9, 6, 11, 1, -6 ], # 0x3D '=' [ 310, 9, 9, 11, 1, -8 ], # 0x3E '>' [ 321, 9, 13, 11, 1, -12 ], # 0x3F '?' [ 336, 16, 15, 18, 0, -12 ], # 0x40 '@' [ 366, 12, 13, 13, 0, -12 ], # 0x41 'A' [ 386, 11, 13, 13, 1, -12 ], # 0x42 'B' [ 404, 12, 13, 13, 1, -12 ], # 0x43 'C' [ 424, 12, 13, 13, 1, -12 ], # 0x44 'D' [ 444, 9, 13, 12, 1, -12 ], # 0x45 'E' [ 459, 9, 13, 11, 1, -12 ], # 0x46 'F' [ 474, 11, 13, 14, 1, -12 ], # 0x47 'G' [ 492, 11, 13, 13, 1, -12 ], # 0x48 'H' [ 510, 3, 13, 6, 1, -12 ], # 0x49 'I' [ 515, 8, 13, 10, 1, -12 ], # 0x4A 'J' [ 528, 12, 13, 13, 1, -12 ], # 0x4B 'K' [ 548, 8, 13, 11, 1, -12 ], # 0x4C 'L' [ 561, 14, 13, 16, 1, -12 ], # 0x4D 'M' [ 584, 11, 13, 14, 1, -12 ], # 0x4E 'N' [ 602, 13, 13, 14, 1, -12 ], # 0x4F 'O' [ 624, 11, 13, 12, 1, -12 ], # 0x50 'P' [ 642, 13, 14, 14, 1, -12 ], # 0x51 'Q' [ 665, 12, 13, 13, 1, -12 ], # 0x52 'R' [ 685, 11, 13, 12, 1, -12 ], # 0x53 'S' [ 703, 9, 13, 12, 2, -12 ], # 0x54 'T' [ 718, 11, 13, 13, 1, -12 ], # 0x55 'U' [ 736, 12, 13, 12, 0, -12 ], # 0x56 'V' [ 756, 17, 13, 17, 0, -12 ], # 0x57 'W' [ 784, 12, 13, 12, 0, -12 ], # 0x58 'X' [ 804, 11, 13, 12, 1, -12 ], # 0x59 'Y' [ 822, 9, 13, 11, 1, -12 ], # 0x5A 'Z' [ 837, 4, 17, 6, 1, -12 ], # 0x5B '[' [ 846, 5, 13, 5, 0, -12 ], # 0x5C '\' [ 855, 4, 17, 6, 0, -12 ], # 0x5D ']' [ 864, 8, 8, 11, 1, -12 ], # 0x5E '^' [ 872, 10, 1, 10, 0, 4 ], # 0x5F '_' [ 874, 3, 2, 5, 0, -12 ], # 0x60 '`' [ 875, 10, 10, 10, 1, -9 ], # 0x61 'a' [ 888, 10, 13, 11, 1, -12 ], # 0x62 'b' [ 905, 9, 10, 10, 1, -9 ], # 0x63 'c' [ 917, 9, 13, 11, 1, -12 ], # 0x64 'd' [ 932, 9, 10, 10, 1, -9 ], # 0x65 'e' [ 944, 5, 13, 6, 1, -12 ], # 0x66 'f' [ 953, 9, 14, 11, 1, -9 ], # 0x67 'g' [ 969, 9, 13, 11, 1, -12 ], # 0x68 'h' [ 984, 3, 13, 5, 1, -12 ], # 0x69 'i' [ 989, 4, 17, 5, 0, -12 ], # 0x6A 'j' [ 998, 9, 13, 10, 1, -12 ], # 0x6B 'k' [ 1013, 3, 13, 5, 1, -12 ], # 0x6C 'l' [ 1018, 14, 10, 16, 1, -9 ], # 0x6D 'm' [ 1036, 9, 10, 11, 1, -9 ], # 0x6E 'n' [ 1048, 10, 10, 11, 1, -9 ], # 0x6F 'o' [ 1061, 10, 14, 11, 1, -9 ], # 0x70 'p' [ 1079, 9, 14, 11, 1, -9 ], # 0x71 'q' [ 1095, 6, 10, 7, 1, -9 ], # 0x72 'r' [ 1103, 9, 10, 10, 1, -9 ], # 0x73 's' [ 1115, 5, 12, 6, 1, -11 ], # 0x74 't' [ 1123, 9, 10, 11, 1, -9 ], # 0x75 'u' [ 1135, 10, 10, 10, 0, -9 ], # 0x76 'v' [ 1148, 14, 10, 14, 0, -9 ], # 0x77 'w' [ 1166, 10, 10, 10, 0, -9 ], # 0x78 'x' [ 1179, 10, 14, 10, 0, -9 ], # 0x79 'y' [ 1197, 8, 10, 9, 1, -9 ], # 0x7A 'z' [ 1207, 4, 17, 7, 1, -12 ], # 0x7B '[' [ 1216, 1, 17, 5, 2, -12 ], # 0x7C '|' [ 1219, 4, 17, 7, 2, -12 ], # 0x7D ']' [ 1228, 8, 2, 9, 0, -4 ] ] # 0x7E '~' FreeSansBold9pt7b = [ FreeSansBold9pt7bBitmaps, FreeSansBold9pt7bGlyphs, 0x20, 0x7E, 22 ] # Approx. 1902 bytes

63.157895

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1,968

13,200

3.307927

0.167175

0.019816

0.020277

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0

1

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1

0

null

0

1

0

3

313bfddd29779ce7be2de2c9a74248e03a73d8c5

707

py

Python

sandbox/py-sandbox/solver/gen2.py

SECCON/SECCON2020_online_CTF

dd639d140ad61ea0fbfadb7827157ca53f7b88b2

[ "Apache-2.0" ]

3

2020-11-02T06:53:39.000Z

2021-12-10T00:59:01.000Z

sandbox/py-sandbox/solver/gen2.py

SECCON/SECCON2020_online_CTF

dd639d140ad61ea0fbfadb7827157ca53f7b88b2

[ "Apache-2.0" ]

null

sandbox/py-sandbox/solver/gen2.py

SECCON/SECCON2020_online_CTF

dd639d140ad61ea0fbfadb7827157ca53f7b88b2

[ "Apache-2.0" ]

null

s = ''' [setattr(f, 'func_code', type(f.func_code)(0, 0, 2, 67, 'd\\x06\\x00j\\x00\\x00j\\x01\\x00d\\x01\\x00\\x19j\\x02\\x00\\x83\\x00\\x00d\\x02\\x00\\x19j\\x03\\x00j\\x04\\x00d\\x03\\x00\\x19j\\x05\\x00d\\x04\\x00\\x19j\\x06\\x00j\\x07\\x00d\\x05\\x00\\x83\\x01\\x00\\x01d\\x00\\x00' + 's'.upper(), ([].append(1), 0, 59, 'sys', 'o' + 's.path', 'sh', ()), ('_' + '_cl' + 'ass_' + '_', '_' + '_bas' + 'es_' + '_', '_' + '_subcl' + 'asses_' + '_', '_' + '_init_' + '_', 'func_glob' + 'als', 'mod' + 'ules', 'o' + 's', 'sy' + 'stem'), (), '', '', 0, '')) + f() for\tf\tin [lambda\t: 1]] ''' s = s.replace('\n', '').replace(' ', '') print(s)

37.210526

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707

3

0.536082

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0

0.165187

0.203678

707

18

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0.066667

0

null

0

1

0

1

0

null

0

3

315b333b4bf34a1d125d5628eed7741054227b65

486

py

Python

xTool/codec/json_codec.py

fengzhongzhu1621/xTool

5e7f4a9191d8a9a1440d033c28ec3fb59abba5c5

[ "Apache-2.0" ]

2

2020-09-02T13:46:06.000Z

2020-10-11T16:11:02.000Z

xTool/codec/json_codec.py

fengzhongzhu1621/xTool

5e7f4a9191d8a9a1440d033c28ec3fb59abba5c5

[ "Apache-2.0" ]

null

xTool/codec/json_codec.py

fengzhongzhu1621/xTool

5e7f4a9191d8a9a1440d033c28ec3fb59abba5c5

[ "Apache-2.0" ]

4

2018-10-15T07:08:34.000Z

2019-11-26T01:52:47.000Z

# -*- coding: utf-8 -*- from typing import Union import rapidjson as json from xTool.plugins.plugin import register_plugin, PluginType from xTool.misc import tob from .base import CodecType @register_plugin( PluginType.CODEC, CodecType.JSON ) class JsonCodec: @classmethod def encode(cls, obj: object) -> bytes: return json.dumps(obj).encode("utf8") @classmethod def decode(cls, data: Union[str, bytes]) -> object: return json.loads(tob(data))

21.130435

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0.053254

0.142012

0

0.005089

0.191358

486

22

61

22.090909

0.854962

0.04321

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0.133333

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0.008639

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0.133333

false

0

0.333333

0.133333

0.666667

0

null

0

null

0

1

0

3

315c03e6d47c50480f52cfb8b6b81233f611f878

67

py

Python

mlbench_core/models/tensorflow/__init__.py

c4dt/mlbench-core

8a5cf6e00ff4535b2aea23b213241858a5ee5f00

[ "Apache-2.0" ]

14

2018-11-12T17:23:32.000Z

2022-03-11T22:45:49.000Z

mlbench_core/models/tensorflow/__init__.py

c4dt/mlbench-core

8a5cf6e00ff4535b2aea23b213241858a5ee5f00

[ "Apache-2.0" ]

330

2018-10-09T12:15:56.000Z

2022-03-01T18:07:40.000Z

mlbench_core/models/tensorflow/__init__.py

c4dt/mlbench-core

8a5cf6e00ff4535b2aea23b213241858a5ee5f00

[ "Apache-2.0" ]

9

2019-02-28T19:11:58.000Z

2020-08-17T17:52:37.000Z

from .resnet_model import Cifar10Model __all__ = ["Cifar10Model"]

16.75

38

0.791045

7

67

6.857143

0.857143

0

0.067797

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67

3

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22.333333

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0.179104

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1

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null

0

1

0

null

0

1

0

3

317d7d8fadd357dddc14fb0ff3b1b68bc7ee597a

329

py

Python

examples/miniapps/engines_cars/example_di.py

vlad-ghita/python-dependency-injector

5cf5bdda24851dd97cfa0f5054f4a8c35ddac014

[ "BSD-3-Clause" ]

null

examples/miniapps/engines_cars/example_di.py

vlad-ghita/python-dependency-injector

5cf5bdda24851dd97cfa0f5054f4a8c35ddac014

[ "BSD-3-Clause" ]

null

examples/miniapps/engines_cars/example_di.py

vlad-ghita/python-dependency-injector

5cf5bdda24851dd97cfa0f5054f4a8c35ddac014

[ "BSD-3-Clause" ]

null

"""Dependency injection example, Cars & Engines.""" import example.cars import example.engines if __name__ == '__main__': gasoline_car = example.cars.Car(example.engines.GasolineEngine()) diesel_car = example.cars.Car(example.engines.DieselEngine()) electro_car = example.cars.Car(example.engines.ElectroEngine())

29.909091

69

0.753799

38

329

6.236842

0.421053

0.253165

0.177215

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0.115502

329

10

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null

1

0

1

0

null

0

1

0

3

31865c4f9d96fc44b276380582199a559688fd97

382

py

Python

xastropy/xutils/math.py

bpholden/xastropy

66aff0995a84c6829da65996d2379ba4c946dabe

[ "BSD-3-Clause" ]

3

2015-08-23T00:32:58.000Z

2020-12-31T02:37:52.000Z

xastropy/xutils/math.py

Kristall-WangShiwei/xastropy

723fe56cb48d5a5c4cdded839082ee12ef8c6732

[ "BSD-3-Clause" ]

104

2015-07-17T18:31:54.000Z

2018-06-29T17:04:09.000Z

xastropy/xutils/math.py

Kristall-WangShiwei/xastropy

723fe56cb48d5a5c4cdded839082ee12ef8c6732

[ "BSD-3-Clause" ]

16

2015-07-17T15:50:37.000Z

2019-04-21T03:42:47.000Z

""" #;+ #; NAME: #; math #; Version 1.0 #; #; PURPOSE: #; Module for math utilities #; 10-Dec-2014 by JXP #;- #;------------------------------------------------------------------------------ """ from __future__ import print_function, absolute_import, division, unicode_literals import numpy as np from astropy import units as u from xastropy.xutils import xdebug as xdb

19.1

82

0.544503

42

382

4.785714

0.785714

0

0.024768

0.15445

382

19

83

20.105263

0.597523

0.510471

0

1

0

true

0

1

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1

0.25

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null

0

null

0

1

0

1

0

1

0

3

31e3d0d4baaa4432092f90b3c467bc88d4261cc5

269

py

Python

CythonExamples/04_CallingExternalCFunc/setup.py

jorregoh/sshpc

df3d34499d9961677981c676a3cb1ffbc8873759

[ "MIT" ]

2

2018-06-05T14:43:19.000Z

2018-06-08T20:39:19.000Z

CythonExamples/04_CallingExternalCFunc/setup.py

jorregoh/sshpc

df3d34499d9961677981c676a3cb1ffbc8873759

[ "MIT" ]

null

CythonExamples/04_CallingExternalCFunc/setup.py

jorregoh/sshpc

df3d34499d9961677981c676a3cb1ffbc8873759

[ "MIT" ]

5

2018-06-08T00:55:04.000Z

2019-06-11T15:40:52.000Z

from distutils.core import setup from distutils.extension import Extension from Cython.Distutils import build_ext ext_modules = [Extension("ejemplo1", ["ejemplo1.pyx"])] setup( name = 'ejemplo 1 app', cmdclass = {'build_ext': build_ext}, ext_modules = ext_modules )

26.9

55

0.765799

36

269

5.555556

0.472222

0.12

0.11

0.18

0

0.012712

0.122677

269

9

56

29.888889

0.834746

0

0.156134

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1

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false

0

0.333333

0

0.333333

0

null

0

1

0

1

0

null

0

1

0

3

9ecaec48ddaa459e9572702491bf813a1f645f4a

371

py

Python

mpr121-daemon/process_builder.py

sandreas/raspberry-bluetooth-receiver

ccda366dd59d98ccda05caf72003baeb17a406f9

[ "MIT" ]

2

2019-10-12T17:51:09.000Z

2020-11-19T00:27:49.000Z

mpr121-daemon/process_builder.py

sandreas/raspberry-bluetooth-receiver

ccda366dd59d98ccda05caf72003baeb17a406f9

[ "MIT" ]

null

mpr121-daemon/process_builder.py

sandreas/raspberry-bluetooth-receiver

ccda366dd59d98ccda05caf72003baeb17a406f9

[ "MIT" ]

1

2019-06-24T06:38:11.000Z

#!/usr/bin/env python from subprocess import Popen, PIPE class ProcessBuilder: def run(self, cmd): self.output = "" self.err = "" self.p = Popen(cmd, stdin=PIPE, stdout=PIPE, stderr=PIPE) self.output, self.err = self.p.communicate() return self.p.returncode def getOutput(self): return self.output def getError(self): return self.err

23.1875

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0.136546

0.176707

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0.202156

371

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61

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false

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0.083333

0.166667

0.666667

0

null

0

null

0

1

0

1

0

3

9ed52f7adb2975aa1fa7f5bdd9aec56701f0d408

1,059

py

Python

lab/lab04/tests/q3a.py

ucsb-int15/s19-assignments

05f285576e82a835bd5375d2810ff010405574e9

[ "MIT" ]

2

2019-04-05T20:35:20.000Z

2019-04-11T10:57:48.000Z

lab/lab04/tests/q3a.py

ucsb-int15/s19-assignments

05f285576e82a835bd5375d2810ff010405574e9

[ "MIT" ]

null

lab/lab04/tests/q3a.py

ucsb-int15/s19-assignments

05f285576e82a835bd5375d2810ff010405574e9

[ "MIT" ]

2

2019-04-05T20:35:23.000Z

2019-04-08T23:03:11.000Z

test = { 'name': 'q3a', 'points': 1, 'suites': [ { 'cases': [ { 'code': '>>> diabetes_2d.shape\n' '(442, 2)', 'hidden': False, 'locked': False}, { 'code': '>>> -0.10 < ' 'np.sum(diabetes_2d[0]) < 0\n' 'True', 'hidden': False, 'locked': False}, { 'code': '>>> np.isclose(0, ' 'np.sum(diabetes_2d))\n' 'True', 'hidden': False, 'locked': False}], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest'}]}

50.428571

77

0.206799

53

1,059

4.075472

0.528302

0.138889

0.236111

0.305556

0.388889

0.25

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0.042254

0.664778

1,059

20

78

52.95

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0.35

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0.208687

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1

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false

0

null

0

1

0

1

0

null

0

3

9ed8a55b7195c153882139914a92ba84612e44c4

328

py

Python

migrations/versions/297f71182ecc_add_384_to_48_transfer_template.py

twist-jenkins/Sample_Tracker

8603c8c295c5d883057c6e85d6a5973902e4f5fe

[ "X11" ]

null

migrations/versions/297f71182ecc_add_384_to_48_transfer_template.py

twist-jenkins/Sample_Tracker

8603c8c295c5d883057c6e85d6a5973902e4f5fe

[ "X11" ]

null

migrations/versions/297f71182ecc_add_384_to_48_transfer_template.py

twist-jenkins/Sample_Tracker

8603c8c295c5d883057c6e85d6a5973902e4f5fe

[ "X11" ]

null

"""add 384 to 48 transfer template Revision ID: 297f71182ecc Revises: 7b4ae4459f8 Create Date: 2015-09-04 16:16:19.747752 """ # revision identifiers, used by Alembic. revision = '297f71182ecc' down_revision = '7b4ae4459f8' from alembic import op import sqlalchemy as sa def upgrade(): pass def downgrade(): pass

14.26087

40

0.734756

44

328

5.454545

0.772727

0

0.203704

0.176829

328

22

41

14.909091

0.685185

0.484756

0

0.25

0

0.142857

0

1

0.25

false

0.25

0

0.5

0

null

0

1

0

null

0

1

0

1

0

3

9ee3742efaf96a87849465ef38e08a37b709d97a

145

py

Python

classification/run.py

MichalisLazarou/cavia

ce476f2e1bc7899ae309c9ae9f23d236eca12555

[ "MIT" ]

null

classification/run.py

MichalisLazarou/cavia

ce476f2e1bc7899ae309c9ae9f23d236eca12555

[ "MIT" ]

null

classification/run.py

MichalisLazarou/cavia

ce476f2e1bc7899ae309c9ae9f23d236eca12555

[ "MIT" ]

null

import arguments import main if __name__ == '__main__': args = arguments.parse_args() logger, model = main.run(args, log_interval=100)

18.125

52

0.710345

19

145

4.894737

0.684211

0

0.02521

0.17931

145

7

53

20.714286

0.756303

0

0.055172

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

7303ad95181138c676f1f0f2ebed137a318900e3

112

py

Python

FreeTAKServer/model/FTSModelVariables/StartTimeVariables.py

logikal/FreeTakServer

c0916ce65781b5c60079d6440e52db8fc6ee0467

[ "MIT" ]

27

2020-05-01T01:45:59.000Z

2020-07-03T00:17:13.000Z

FreeTAKServer/model/FTSModelVariables/StartTimeVariables.py

logikal/FreeTakServer

c0916ce65781b5c60079d6440e52db8fc6ee0467

[ "MIT" ]

34

2020-04-26T11:25:52.000Z

2020-07-03T21:06:34.000Z

FreeTAKServer/model/FTSModelVariables/StartTimeVariables.py

logikal/FreeTakServer

c0916ce65781b5c60079d6440e52db8fc6ee0467

[ "MIT" ]

15

2020-05-01T01:46:07.000Z

2020-07-03T12:14:04.000Z

class StartTimeVariables: @classmethod def Checklist(cls): cls.INTAG = None return cls

16

25

0.625

11

112

6.363636

0.818182

0

0.3125

112

6

26

18.666667

0.909091

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1

0.2

false

0

0.6

0

1

0

null

0

1

0

null

0

1

0

3

730b233ed3f0cd5a587123cbfe14ce7792b4c3fb

6,269

py

Python

sc2/unit.py

Olaf-G/Bachelor-s-Degree

d367051d9f1ff867cf433abc6a9789ac256505a3

[ "MIT" ]

7

2018-07-15T06:03:42.000Z

2021-08-22T20:23:26.000Z

sc2/unit.py

Olaf-G/Bachelor-s-Degree

d367051d9f1ff867cf433abc6a9789ac256505a3

[ "MIT" ]

null

sc2/unit.py

Olaf-G/Bachelor-s-Degree

d367051d9f1ff867cf433abc6a9789ac256505a3

[ "MIT" ]

11

2018-07-28T18:16:49.000Z

2021-01-16T15:13:06.000Z

from s2clientprotocol import sc2api_pb2 as sc_pb, raw_pb2 as raw_pb from sc2.ids.buff_id import BuffId from .position import Point3 from .data import Alliance, Attribute, DisplayType, warpgate_abilities from .game_data import GameData from .ids.unit_typeid import UnitTypeId from .ids.ability_id import AbilityId from . import unit_command class Unit(object): def __init__(self, proto_data, game_data): assert isinstance(proto_data, raw_pb.Unit) assert isinstance(game_data, GameData) self._proto = proto_data self._game_data = game_data @property def type_id(self): return UnitTypeId(self._proto.unit_type) @property def _type_data(self): return self._game_data.units[self._proto.unit_type] @property def is_snapshot(self): return self._proto.display_type == DisplayType.Snapshot.value @property def is_visible(self): return self._proto.display_type == DisplayType.Visible.value @property def alliance(self): return self._proto.alliance @property def is_mine(self): return self._proto.alliance == Alliance.Self.value @property def is_enemy(self): return self._proto.alliance == Alliance.Enemy.value @property def tag(self): return self._proto.tag @property def owner_id(self): return self._proto.owner @property def position(self): """2d position of the unit.""" return self.position3d.to2 @property def position3d(self): """3d position of the unit.""" return Point3.from_proto(self._proto.pos) def distance_to(self, p): return self.position.to2.distance_to(p.position.to2) @property def facing(self): return self._proto.facing @property def radius(self): return self._proto.radius @property def detect_range(self): return self._proto.detect_range @property def radar_range(self): return self._proto.radar_range @property def build_progress(self): return self._proto.build_progress @property def is_ready(self): return self.build_progress == 1.0 @property def cloak(self): return self._proto.cloak @property def is_blip(self): """Detected by sensor tower.""" return self._proto.is_blip @property def is_powered(self): return self._proto.is_powered @property def is_burrowed(self): return self._proto.is_burrowed @property def is_flying(self): return self._proto.is_flying @property def is_structure(self): return Attribute.Structure.value in self._type_data.attributes @property def is_mineral_field(self): return self._type_data.has_minerals @property def is_vespene_geyser(self): return self._type_data.has_vespene @property def health(self): return self._proto.health @property def health_max(self): return self._proto.health_max @property def shield(self): return self._proto.shield @property def shield_max(self): return self._proto.shield_max @property def energy(self): return self._proto.energy @property def mineral_contents(self): return self._proto.mineral_contents @property def vespene_contents(self): return self._proto.vespene_contents @property def is_selected(self): return self._proto.is_selected @property def orders(self): return [UnitOrder.from_proto(o, self._game_data) for o in self._proto.orders] @property def noqueue(self): return len(self.orders) == 0 @property def is_idle(self): return not self.orders @property def add_on_tag(self): return self._proto.add_on_tag @property def has_add_on(self): return self.add_on_tag != 0 @property def assigned_harvesters(self): return self._proto.assigned_harvesters @property def ideal_harvesters(self): return self._proto.ideal_harvesters @property def name(self): return self._type_data.name def train(self, unit, *args, **kwargs): return self(self._game_data.units[unit.value].creation_ability.id, *args, **kwargs) def build(self, unit, *args, **kwargs): return self(self._game_data.units[unit.value].creation_ability.id, *args, **kwargs) def has_buff(self, buff): assert isinstance(buff, BuffId) return buff.value in self._proto.buff_ids def warp_in(self, unit, placement, *args, **kwargs): normal_creation_ability = self._game_data.units[unit.value].creation_ability.id return self(warpgate_abilities[normal_creation_ability], placement, *args, **kwargs) def attack(self, *args, **kwargs): return self(AbilityId.ATTACK, *args, **kwargs) def gather(self, *args, **kwargs): return self(AbilityId.HARVEST_GATHER, *args, **kwargs) def return_resource(self, *args, **kwargs): return self(AbilityId.HARVEST_RETURN, *args, **kwargs) def move(self, *args, **kwargs): return self(AbilityId.MOVE, *args, **kwargs) def hold_position(self, *args, **kwargs): return self(AbilityId.HOLDPOSITION, *args, **kwargs) def stop(self, *args, **kwargs): return self(AbilityId.STOP, *args, **kwargs) def __call__(self, ability, *args, **kwargs): return unit_command.UnitCommand(ability, self, *args, **kwargs) def __repr__(self): return f"Unit(name={self.name !r}, tag={self.tag})" class UnitOrder(object): @classmethod def from_proto(cls, proto, game_data): return cls( game_data.abilities[proto.ability_id], (proto.target_world_space_pos if proto.HasField("target_world_space_pos") else proto.target_unit_tag), proto.progress ) def __init__(self, ability, target, progress=None): self.ability = ability self.target = target self.progress = progress def __repr__(self): return f"UnitOrder({self.ability}, {self.target}, {self.progress})"

25.587755

92

0.657043

785

6,269

5.016561

0.175796

0.114271

0.117318

0.130269

0.306247

0.17293

0.094718

0.053581

0.042661

0

0.003796

0.24358

6,269

244

93

25.692623

0.826655

0.011964

0

0.248619

0

0.019424

0.007608

0

0.016575

1

0.320442

false

0

0.044199

0.281768

0.685083

0

null

0

null

0

1

0

1

0

3

731146ebb3c25c5a3845856b560730aaae3c8a9f

117

py

Python

xpath/sample19.py

silianpan/seal-spider-demo

23bf013d08f9edaf23823bc3787f579bccd0ec3a

[ "Apache-2.0" ]

null

xpath/sample19.py

silianpan/seal-spider-demo

23bf013d08f9edaf23823bc3787f579bccd0ec3a

[ "Apache-2.0" ]

3

2021-09-08T01:11:16.000Z

2022-03-02T15:14:03.000Z

xpath/sample19.py

silianpan/seal-spider-demo

23bf013d08f9edaf23823bc3787f579bccd0ec3a

[ "Apache-2.0" ]

1

2019-08-04T09:57:29.000Z

from lxml import etree html = etree.parse('./test.html', etree.HTMLParser()) result = html.xpath('//*') print(result)

29.25

53

0.700855

16

117

5.125

0.6875

0.219512

0

0.094017

117

4

54

29.25

0.773585

0

0.118644

0

1

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false

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

3

7312d83240813de96f32907faf63ccd56923744b

226

py

Python

ex048.py

bruceewmesmo/python-mundo-02

d37d6271f3870f16521391bd7884b57aaae3484a

[ "MIT" ]

null

ex048.py

bruceewmesmo/python-mundo-02

d37d6271f3870f16521391bd7884b57aaae3484a

[ "MIT" ]

null

ex048.py

bruceewmesmo/python-mundo-02

d37d6271f3870f16521391bd7884b57aaae3484a

[ "MIT" ]

null

# EXERCICIO 048 - SOMA IMPARES MULTIPLOS DE 3 soma = 0 cont = 0 for cont in range(1,501,2): if cont % 3 == 0: cont += 1 soma += cont print('A soma dos {} impares multiplos de 3 é {}'.format(cont,soma))

17.384615

68

0.584071

38

226

3.473684

0.552632

0.242424

0.272727

0.287879

0

0.093168

0.287611

226

12

69

18.833333

0.726708

0.190265

0

0.227778

0

1

0

false

0

0.142857

0

null

1

0

null

0

3

7326d7b3f596d9e3e2b2de3c4a9e0722bfee54e7

1,243

py

Python

python-annotator/RenderableCloud.py

bubble-07/AnimeReal

b12193f10d231ee85a2a86ec2defeca0b5a4e240

[ "BSD-2-Clause" ]

null

python-annotator/RenderableCloud.py

bubble-07/AnimeReal

b12193f10d231ee85a2a86ec2defeca0b5a4e240

[ "BSD-2-Clause" ]

null

python-annotator/RenderableCloud.py

bubble-07/AnimeReal

b12193f10d231ee85a2a86ec2defeca0b5a4e240

[ "BSD-2-Clause" ]

null

from OpenGL.GL import * from OpenGL.GLUT import * class RenderableCloud: #An OpenGL display list generated from a point cloud #TODO Camera identifiers here? def __init__(self, pointcloud): #To generate from a point cloud, we start building a display list self.dlist_ind = glGenLists(1) if not self.dlist_ind: print "Unable to create display list!" print glGetError() glColor3f(1, 1, 1) glNewList(self.dlist_ind, GL_COMPILE) glPointSize(2.0) #TODO: Okay to set point size outside of here? #Also okay to do this with transformations? glBegin(GL_POINTS) for point, color in pointcloud.pointIterator(): x, y, z = point r, g, b, a = color r, g, b = (float(r) / 255.0, float(g) / 255.0, float(b) / 255.0) glColor3f(r, g, b) glVertex3f(x, y, z) glEnd() glEndList() def draw(self, alpha): glColor4f(1, 1, 1, alpha) glCallList(self.dlist_ind) #You MUST call cleanup() before these objects are gc'ed, #and may not use them to render after you call this def cleanup(self): glDeleteLists(self.dlist_ind, 1)

27.622222

76

0.595334

171

1,243

4.263158

0.532164

0.061728

0.082305

0.041152

0

0.030552

0.315366

1,243

44

77

28.25

0.826087

0.270314

0

1

0

0.03337

0

0.022727

0

null

0

0.08

null

0.08

0

null

0

1

0

null

0

1

0

1

0

3

7329797b00a4f328c31497b3ddbed7ee5def4da9

54

py

Python

Taekwon/Python/greedy/traveler.py

sonnysorry/codingtest

478e0168e3209eb97b6b16910027bf12ccc3ccd0

[ "MIT" ]

2

2021-09-27T19:10:36.000Z

2021-11-09T05:40:39.000Z

Taekwon/Python/greedy/traveler.py

sonnysorry/codingtest

478e0168e3209eb97b6b16910027bf12ccc3ccd0

[ "MIT" ]

1

2021-11-15T14:56:54.000Z

Taekwon/Python/greedy/traveler.py

sonnysorry/codingtest

478e0168e3209eb97b6b16910027bf12ccc3ccd0

[ "MIT" ]

null

n = input() people = [] for i in range(n): a =

7.714286

18

0.462963

9

54

2.777778

0.888889

0

0.351852

54

6

19

9

0.714286

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

3

732b341de7a6709abc13af78ce6ec2d7589d325b

560

py

Python

chado/client.py

DivSeek-Canada/python-chado

68648a10fcf26b73cf05e9a403c67e48e6b2f66f

[ "MIT" ]

null

chado/client.py

DivSeek-Canada/python-chado

68648a10fcf26b73cf05e9a403c67e48e6b2f66f

[ "MIT" ]

null

chado/client.py

DivSeek-Canada/python-chado

68648a10fcf26b73cf05e9a403c67e48e6b2f66f

[ "MIT" ]

1

2021-05-02T14:49:57.000Z

"""Base chado client """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from future import standard_library standard_library.install_aliases() class Client(object): """ Base client class implementing methods to make queries to the server """ def __init__(self, engine, metadata, session, ci): self.engine = engine self.metadata = metadata self.session = session self.ci = ci self.model = ci.model

23.333333

72

0.717857

68

560

5.529412

0.485294

0.132979

0.212766

0

0.217857

560

23

73

24.347826

0.858447

0.153571

0

1

0.076923

false

0

0.384615

0

0.538462

0.076923

0

null

0

1

0

null

0

1

0

1

0

3

734a573b081541b97ffe7cbc1f6e66f43d3aaca1

329

py

Python

app/schemas/token.py

cPoolChia/ChiaAutoplotter-Backend

8d875c1f846df395ddc76e3d84b36da45ad4d557

[ "MIT" ]

7

2021-06-01T09:20:34.000Z

2021-10-12T07:24:04.000Z

app/schemas/token.py

cPoolChia/ChiaAutoplotter-Worker

7368396bda018a5adedef74173aba7b6f8f0eccc

[ "MIT" ]

null

app/schemas/token.py

cPoolChia/ChiaAutoplotter-Worker

7368396bda018a5adedef74173aba7b6f8f0eccc

[ "MIT" ]

1

2021-05-31T13:08:14.000Z

from datetime import datetime from typing import Optional, Pattern, Annotated from uuid import UUID from pydantic import BaseModel, Field, EmailStr class Token(BaseModel): access_token: str token_type: str class BaseTokenPayload(BaseModel): exp: datetime class AuthTokenPayload(BaseTokenPayload): sub: UUID

18.277778

47

0.778116

39

329

6.512821

0.538462

0

0.170213

329

18

48

18.277778

0.930403

0

1

0

true

0

0.363636

0

1

0

null

0

null

0

1

0

1

0

1

0

3

734ef1758100212bee945e930a152cbf21ae9856

112

py

Python

raspberry/back.py

todsy95/Arduino_BT_Android

e9db1577567b3097b432c120c7a01424baa30951

[ "Apache-2.0" ]

1

2016-12-11T00:19:45.000Z

raspberry/back.py

todsy95/Arduino_BT_Android

e9db1577567b3097b432c120c7a01424baa30951

[ "Apache-2.0" ]

null

raspberry/back.py

todsy95/Arduino_BT_Android

e9db1577567b3097b432c120c7a01424baa30951

[ "Apache-2.0" ]

null

import serial port = "/dev/rfcomm0" back = "5" ser = serial.Serial(port,9600) ser.write(back) ser.flushInput()

14

30

0.705357

17

112

4.647059

0.647059

0.253165

0

0.061224

0.125

112

7

31

16

0.744898

0

0.116071

0

1

0

false

0

0.166667

0

0.166667

0

1

0

null

1

0

1

0

null

0

3

b41eb08c56a5ca9620158295314effcf7af1fa83

144

py

Python

djfilters/__init__.py

mhsiddiqui/dj-rest-filters

0b3c2b6afff67d7707c7c04175bee1c43478b4f9

[ "MIT" ]

null

djfilters/__init__.py

mhsiddiqui/dj-rest-filters

0b3c2b6afff67d7707c7c04175bee1c43478b4f9

[ "MIT" ]

null

djfilters/__init__.py

mhsiddiqui/dj-rest-filters

0b3c2b6afff67d7707c7c04175bee1c43478b4f9

[ "MIT" ]

null

import django __version__ = '1.0.0' if django.VERSION < (3, 2): # pragma: no cover default_app_config = 'djfilters.apps.DjfiltersConfig'

20.571429

57

0.708333

20

144

4.8

0.85

0.270833

0

0.041667

0.166667

144

6

58

24

0.758333

0.111111

0

0.277778

0.238095

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

3

b42f6926ac454f8a5a393cb7592cda021354aa68

1,107

py

Python

tests/pbraiders/pages/options/users/actions/create.py

pbraiders/pomponne-test-bdd

7f2973936318221f54e65e0f8bd839cad7216fa4

[ "MIT" ]

1

2021-03-30T14:41:29.000Z

tests/pbraiders/pages/options/users/actions/create.py

pbraiders/pomponne-test-bdd

7f2973936318221f54e65e0f8bd839cad7216fa4

[ "MIT" ]

null

tests/pbraiders/pages/options/users/actions/create.py

pbraiders/pomponne-test-bdd

7f2973936318221f54e65e0f8bd839cad7216fa4

[ "MIT" ]

null

# coding=utf-8 """User page - creation responsability.""" from __future__ import annotations from pbraiders.pages.options.users.actions import UserActionAbstract BUTTON_SEND = 'new' FAILURE_MESSAGE = "Le nom d\'utilisateur ou les mots de passe que vous avez saisis sont incorrects." EXIST_MESSAGE = 'Cet utilisateur existe déjà.' SUCCESS_MESSAGE = "Enregistrement réussi." class CreateUserAction(UserActionAbstract): """User page - creation responsability.""" def click(self) -> None: """Clicks the button""" self.page.find_by_name(BUTTON_SEND).first.click() def has_failed(self) -> bool: """Test if the new user creation has failed""" return self.page.is_text_present(FAILURE_MESSAGE, wait_time=1) def has_failed_exist(self) -> bool: """Test if the new user creation has failed because he's already exist""" return self.page.is_text_present(EXIST_MESSAGE, wait_time=1) def has_succeeded(self) -> bool: """Test if the new user creation has succeded""" return self.page.is_text_present(SUCCESS_MESSAGE, wait_time=1)

35.709677

100

0.71635

150

1,107

5.106667

0.493333

0.041775

0.046997

0.05483

0.315927

0.152742

0.10705

0

0.00441

0.180668

1,107

30

101

36.9

0.840132

0.232159

0

0.162393

0

1

0.266667

false

0.066667

0.133333

0

0.666667

0

null

0

null

0

1

0

1

0

1

0

3

b4377613968b109090e3d492ac311e82bf883568

807

py

Python

tests/realestatelisting_test.py

aaronogan/house-hunt

89ae7e5f594e1713be67549c1fc5340522e2a85a

[ "MIT" ]

null

tests/realestatelisting_test.py

aaronogan/house-hunt

89ae7e5f594e1713be67549c1fc5340522e2a85a

[ "MIT" ]

1

2021-03-27T15:02:30.000Z

tests/realestatelisting_test.py

aaronogan/house-hunt

89ae7e5f594e1713be67549c1fc5340522e2a85a

[ "MIT" ]

null

from model.realestatelisting import RealEstateListing data = { "list_date": "2020-10-24T023:01:38Z", "list_price": 230000, "listing_id": "1212", "property_id": "1234", "status": "for_sale", } def test_parse_list_date(): listing = RealEstateListing(data) assert data['list_date'] == listing.list_date def test_parse_list_price(): listing = RealEstateListing(data) assert data['list_price'] == listing.list_price def test_parse_listing_id(): listing = RealEstateListing(data) assert data['listing_id'] == listing.listing_id def test_parse_property_id(): listing = RealEstateListing(data) assert data['property_id'] == listing.property_id def test_parse_status(): listing = RealEstateListing(data) assert data['status'] == listing.status

22.416667

53

0.707559

97

807

5.608247

0.268041

0.231618

0.110294

0.3125

0.371324

0.301471

0

0.043155

0.167286

807

35

54

23.057143

0.766369

0

0.217391

0

0.16005

0.026055

0

0.217391

1

0.217391

false

0

0.043478

0

0.26087

0

null

1

0

1

0

null

0

1

0

3

b4476fe54a9a4a38976b929a021bb71dfb5d8394

245

py

Python

gp_mpc/__init__.py

DiegoAE/GP-MPC

0d629b30eb8641221009e28e8591eb7c7f416e10

[ "MIT" ]

93

2018-03-16T15:24:19.000Z

2022-03-23T12:13:52.000Z

gp_mpc/__init__.py

DiegoAE/GP-MPC

0d629b30eb8641221009e28e8591eb7c7f416e10

[ "MIT" ]

6

2019-04-17T18:15:00.000Z

2021-01-12T12:13:14.000Z

gp_mpc/__init__.py

DiegoAE/GP-MPC

0d629b30eb8641221009e28e8591eb7c7f416e10

[ "MIT" ]

32

2019-04-12T14:38:54.000Z

2022-02-25T18:18:30.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import division from . import gp_functions from . import optimize from .gp_class import GP from .mpc_class import MPC, lqr, plot_eig from .model_class import Model

22.272727

41

0.783673

37

245

4.810811

0.459459

0.185393

0.179775

0

0.004808

0.15102

245

11

42

22.272727

0.850962

0.085714

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

b4499bbdf9038d37e40233ef147f53896b4cce72

657

py

Python

leetcode/remove-outermost-parentheses.py

hg-pyun/algorithm

cf92483c399f05e488b6febc79c80620f115fadf

[ "MIT" ]

7

2018-09-15T13:57:37.000Z

2022-03-13T10:01:56.000Z

leetcode/remove-outermost-parentheses.py

hg-pyun/algorithm

cf92483c399f05e488b6febc79c80620f115fadf

[ "MIT" ]

1

2019-04-26T07:02:28.000Z

leetcode/remove-outermost-parentheses.py

hg-pyun/algorithm

cf92483c399f05e488b6febc79c80620f115fadf

[ "MIT" ]

1

2020-05-03T23:43:38.000Z

class Solution: def removeOuterParentheses(self, S: str) -> str: stack = [] is_assemble = False assembler = "" result = "" for p in S: if p == "(": if is_assemble: assembler += p if not stack: is_assemble = True stack.append(p) else: stack.pop() if not stack: result += assembler assembler = "" is_assemble = False if is_assemble: assembler += p return result

27.375

52

0.383562

53

657

4.660377

0.433962

0.202429

0.121457

0.17004

0.178138

0

0.544901

657

23

53

28.565217

0.826087

0

0.454545

0

0.001522

0

1

0.045455

false

0

0.136364

0

null

1

0

1

0

1

0

null

0

3

b456e8174dd154e1d5e46175dab07cdf95ae06a1

407

py

Python

benchmarks.py

smkalami/ypde

0b4fe1f0cc6d7640c3a7c66ee8f1dab020b220f7

[ "MIT" ]

5

2019-05-05T10:06:21.000Z

2021-03-02T10:04:49.000Z

benchmarks.py

smkalami/ypde

0b4fe1f0cc6d7640c3a7c66ee8f1dab020b220f7

[ "MIT" ]

1

2018-08-20T16:58:50.000Z

benchmarks.py

smkalami/ypde

0b4fe1f0cc6d7640c3a7c66ee8f1dab020b220f7

[ "MIT" ]

1

2021-06-12T12:56:23.000Z

import numpy as np # Sphere def sphere(x): return sum(x**2) # Rastrigin def rastrigin(x): A = 10 n = x.size return A*n + sum(x**2 - A*np.cos(2*np.pi*x)) # Rosenbrock def rosenbrock(x): return sum(100*(x[1:] - x[:-1]**2)**2 + (1-x[:-1])**2) # Ackley def ackley(x): a = 20 b = 0.2 c = 2*np.pi return a + np.e - a*np.exp(-b*np.mean(x**2)) - np.exp(np.mean(np.cos(c*x)))

17.695652

79

0.528256

84

407

2.559524

0.333333

0.027907

0.093023

0.037209

0

0.067742

0.238329

407

22

80

18.5

0.625806

0.083538

0

1

0.285714

false

0

0.071429

0.142857

0.642857

0

null

0

null

0

1

0

1

0

3

b4772eb3eb7dacef78d599323f33eb2894135eef

157

py

Python

main.py

zyeinn/PI_Trabalho1

6ab424d481122d0b732d59c2b9e0a7c3c3153e8c

[ "MIT" ]

null

main.py

zyeinn/PI_Trabalho1

6ab424d481122d0b732d59c2b9e0a7c3c3153e8c

[ "MIT" ]

null

main.py

zyeinn/PI_Trabalho1

6ab424d481122d0b732d59c2b9e0a7c3c3153e8c

[ "MIT" ]

null

from functions import * # Apresenta menus infinitamente até o utilizador pretender while True: contacto.show_contacts() controlMenu(menu())

26.166667

59

0.726115

17

157

6.647059

1

0

0.210191

157

6

60

26.166667

0.91129

0.356688

0

1

0

true

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

1

0

3

b47e26e93b224e4a4c607aa4cc70bb90a03e0eda

325

py

Python

test/test_T.py

zydmayday/pamda

6740d0294f3bedbeeef3bbc3042a43dceb3239b2

[ "MIT" ]

1

2022-03-14T07:35:13.000Z

test/test_T.py

zydmayday/pamda

6740d0294f3bedbeeef3bbc3042a43dceb3239b2

[ "MIT" ]

3

2022-03-24T02:30:18.000Z

2022-03-31T07:46:04.000Z

test/test_T.py

zydmayday/pamda

6740d0294f3bedbeeef3bbc3042a43dceb3239b2

[ "MIT" ]

null

import unittest import ramda as R """ https://github.com/ramda/ramda/blob/master/test/T.js """ class TestT(unittest.TestCase): def test_always_returns_true(self): self.assertEqual(True, R.T()) self.assertEqual(True, R.T(10)) self.assertEqual(True, R.T(True)) if __name__ == '__main__': unittest.main()

16.25

52

0.692308

48

325

4.458333

0.541667

0.21028

0.266355

0.280374

0.294393

0

0.007194

0.144615

325

19

53

17.105263

0.76259

0

0.030303

0

0.333333

1

0.111111

false

0

0.222222

0

0.444444

0

null

1

0

null

0

3

81eaa1700e09931237a1e4a3b98928349c41d470

154

py

Python

source-code-from-author-book/Listings-for-Second-Edition/listing_6_13.py

robrac/algorithms-exercises-with-python

5780171517eacc1c7133fdc32cf079623cd14cf9

[ "MIT" ]

null

source-code-from-author-book/Listings-for-Second-Edition/listing_6_13.py

robrac/algorithms-exercises-with-python

5780171517eacc1c7133fdc32cf079623cd14cf9

[ "MIT" ]

null

source-code-from-author-book/Listings-for-Second-Edition/listing_6_13.py

robrac/algorithms-exercises-with-python

5780171517eacc1c7133fdc32cf079623cd14cf9

[ "MIT" ]

null

def postorder(tree): if tree != None: postorder(tree.getLeftChild()) postorder(tree.getRightChild()) print(tree.getRootVal())

25.666667

39

0.623377

15

154

6.4

0.6

0.40625

0

0.24026

154

5

40

30.8

0.820513

0

1

0.2

false

0

0.2

1

0

null

1

0

1

0

null

0

3

81fd84747bcdcbc9f5be75607d9eb15145bd232c

2,385

py

Python

copper_sdk/copper.py

deanmalmgren/copper-sdk

fd1698529c01ef799ac5dd080e979098d9754e76

[ "MIT" ]

null

copper_sdk/copper.py

deanmalmgren/copper-sdk

fd1698529c01ef799ac5dd080e979098d9754e76

[ "MIT" ]

null

copper_sdk/copper.py

deanmalmgren/copper-sdk

fd1698529c01ef799ac5dd080e979098d9754e76

[ "MIT" ]

null

import requests, json from .users import Users from .leads import Leads from .activities import Activities from .companies import Companies from .people import People from .opportunities import Opportunities from .customer_sources import CustomerSources from .loss_reasons import LossReasons from .custom_field_definitions import CustomFieldDefinitions class Copper(): # Constructor - authentication details def __init__(self, token, email, base_url = 'https://api.prosperworks.com/developer_api/v1', debug = False, session = None): self.token = token self.email = email self.base_url = base_url self.debug = debug # init request if not session: session = requests.Session() self.session = session self.session.headers = {} self.session.headers['X-PW-AccessToken'] = self.token self.session.headers['X-PW-Application'] = 'developer_api' self.session.headers['X-PW-UserEmail'] = self.email self.session.headers['Content-Type'] = 'application/json' def get(self, endpoint): return self.api_call('get', endpoint) def post(self, endpoint, opts): return self.api_call('post', endpoint, opts) def put(self, endpoint, opts): return self.api_call('put', endpoint, opts) def delete(self, endpoint): return self.api_call('delete', endpoint) def api_call(self, method, endpoint, opts = None): optsJson = None if opts: optsJson = json.dumps(opts) if self.debug: print(optsJson) # dynamically call method to handle status change response = getattr(self.session, method)(self.base_url + endpoint, data=optsJson) if self.debug: print(response.text) return json.loads(response.text) def users(self): return Users(self) def leads(self): return Leads(self) def activities(self): return Activities(self) def opportunities(self): return Opportunities(self) def people(self): return People(self) def companies(self): return Companies(self) def customersources(self): return CustomerSources(self) def lossreasons(self): return LossReasons(self) def customfielddefinitions(self): return CustomFieldDefinitions(self)

28.392857

128

0.657442

273

2,385

5.673993

0.274725

0.058102

0.043899

0.120723

0.080052

0.042608

0

0.000558

0.248218

2,385

83

129

28.73494

0.863358

0.040671

0

0.033333

0

0.064799

0

1

0.25

false

0

0.166667

0.216667

0.666667

0.033333

0

null

0

null

0

1

0

1

0

3

c3062d21b5eb69ae4a8f28938f0fe5f9c98c42ac

719

py

Python

web/index.py

powersaver2016/powersaver_web

36c52b24f0dd72c2a6a1145f2749d10772c9b8e3

[ "MIT" ]

1

2016-09-29T01:01:23.000Z

web/index.py

powersaver2016/powersaver_web

36c52b24f0dd72c2a6a1145f2749d10772c9b8e3

[ "MIT" ]

null

web/index.py

powersaver2016/powersaver_web

36c52b24f0dd72c2a6a1145f2749d10772c9b8e3

[ "MIT" ]

null

#!/usr/bin/env python2.7 #-*- coding:utf8 -*- # # author: shane import tornado import pprint from _module._lib.common import Common from web._base_ import BaseHandler class IndexHandler(BaseHandler): def get(self, *args, **kwargs): c = self.make_tpl_para() self.render('index.htm', c=c) class LoginHandler(BaseHandler): def get(self, *args, **kwargs): pass def post(self, *args, **kwargs): pass class LogoutHandler(BaseHandler): @tornado.web.authenticated def get(self): self._session.destroy() self.redirect(self.get_login_url()) class PageNotFoundHandler(BaseHandler): def get(self, *args, **kwargs): self.render('404.htm')

18.435897

43

0.653686

88

719

5.238636

0.511364

0.052061

0.086768

0.136659

0.201735

0

0.010563

0.210014

719

38

44

18.921053

0.801056

0.077886

0

0.238095

0

0.024353

0

1

0.238095

false

0.095238

0.190476

0

0.619048

0.047619

0

null

0

null

0

1

0

1

0

1

0

3

c306e3dbc322c9c71eec861dad9d87d83d484ffe

104

py

Python

cooler/_version.py

mimakaev/cooler

84b0d510dc3baf0b9ef3592f9d27ba795e1802ee

[ "BSD-3-Clause" ]

null

cooler/_version.py

mimakaev/cooler

84b0d510dc3baf0b9ef3592f9d27ba795e1802ee

[ "BSD-3-Clause" ]

null

cooler/_version.py

mimakaev/cooler

84b0d510dc3baf0b9ef3592f9d27ba795e1802ee

[ "BSD-3-Clause" ]

null

__version__ = "0.8.10" __format_version__ = 3 __format_version_mcool__ = 2 __format_version_scool__ = 1

20.8

28

0.807692

15

104

4.2

0.666667

0.619048

0

0.076087

0.115385

104

4

29

26

0.608696

0

0.057692

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

c31b85b1843a3d1ea88be72583eceb631b0b446a

122

py

Python

ch08/hw08_02/hw08_02.py

z2x3c4v5bz/pybook_wenlongtsai_etc

0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a

[ "MIT" ]

4

2021-06-12T07:51:22.000Z

2021-12-20T11:35:12.000Z

ch08/hw08_02/hw08_02.py

z2x3c4v5bz/pybook_wenlongtsai_etc

0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a

[ "MIT" ]

null

ch08/hw08_02/hw08_02.py

z2x3c4v5bz/pybook_wenlongtsai_etc

0a3e90d9f53a1d33e31b27f40de8abdce56e7e2a

[ "MIT" ]

1

2021-11-08T03:36:43.000Z

# hw08_02 for i in range(1, 9+1, 2): print("{:^9}".format("^"*i)) ''' ^ ^^^ ^^^^^ ^^^^^^^ ^^^^^^^^^ '''

8.133333

32

0.286885

14

122

2.428571

0.785714

0

0.102273

0.278689

122

15

33

8.133333

0.284091

0.057377

0

0.092308

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

c3231a37b47d48cecba682df8882e971f5c93591

788

py

Python

textformat.py

ouka2201/discordpy-startup

1b170123577f0b6e3db41bb4fbc5838bc3099522

[ "MIT" ]

null

textformat.py

ouka2201/discordpy-startup

1b170123577f0b6e3db41bb4fbc5838bc3099522

[ "MIT" ]

null

textformat.py

ouka2201/discordpy-startup

1b170123577f0b6e3db41bb4fbc5838bc3099522

[ "MIT" ]

null

import re import emoji def format_text(text): text = re.sub(r'https?://[\w/:%#\$&\?~\.=\+\-…]+', "", text) text = re.sub(r'<:[a-zA-Z0-9_]+:[0-9]+>', "", text) text = re.sub(r'<@![0-9]+>', "", text) text = re.sub('RT', "", text) text = re.sub('お気に入り', "", text) text = re.sub('まとめ', "", text) text = re.sub('\n', " ", text)#改行文字 text = re.sub('ぁ', "あ", text) text = re.sub('ぃ', "い", text) text = re.sub('ぅ', "う", text) text = re.sub('ぇ', "え", text) text = re.sub('ぉ', "お", text) text = re.sub('ーー*', "ー", text) text = re.sub('-e', "", text) text = re.sub('-c', "", text) text = re.sub('-k', "", text) text_without_emoji = ''.join(['' if c in emoji.UNICODE_EMOJI else c for c in text]) return text_without_emoji

32.833333

87

0.482234

126

788

2.984127

0.349206

0.361702

0.382979

0.518617

0.156915

0.079787

0

0.009804

0.22335

788

23

88

34.26087

0.599673

0.005076

0

0.130268

0.075351

0

1

0.047619

false

0

0.095238

0

0.190476

0

null

1

0

null

0

3

c32998471406072547f07a42739a732160fc3d54

1,567

py

Python

formatting.py

develop-edu/python

d49d3c315d14d785e10b542ed081fb03afa006a1

[ "MIT" ]

null

formatting.py

develop-edu/python

d49d3c315d14d785e10b542ed081fb03afa006a1

[ "MIT" ]

null

formatting.py

develop-edu/python

d49d3c315d14d785e10b542ed081fb03afa006a1

[ "MIT" ]

null

a = 5 b = 3 c = 72 d = 304 s1 = 'string' pi = 3.141592 print('{0:-^48}'.format(' % 사용 ')) print('%d + %d = %d' % (a, b, a + b)) print('%d + %d = %d' % (c, d, c + d)) print('*' * 16) print('%2d + %2d = %2d' % (a, b, a + b)) print('%2d + %2d = %2d' % (c, d, c + d)) print('*' * 16) print('%03d + %03d = %03d' % (a, b, a + b)) print('%03d + %03d = %03d' % (c, d, c + d)) print('*' * 16) print('string: %s' % s1) print('string: [%10s]' % s1) print('string: [%-10s]' % s1) print('*' * 16) print('pi = %f' % pi) print('pi = %.3f' % pi) print('pi = %10.3f' % pi) print('%d = 0x%04X' % (d, d)) print() print('{0:-^48}'.format(' Use format() ')) print('{0} + {1} = {2}'.format(a, b, a + b)) print('{0} + {1} = {2}'.format(c, d, c + d)) print('*' * 16) print('{0:2} + {1:2} = {2:2}'.format(a, b, a + b)) print('{0:2} + {1:2} = {2:2}'.format(c, d, c + d)) print('*' * 16) print('{0:03} + {1:03} = {2:03}'.format(a, b, a + b)) print('{0:03} + {1:03} = {2:03}'.format(c, d, c + d)) print() print('{0:-^48}'.format(' Use f formatting ')) print(f'{a} + {b} = {a + b}') print(f'{c} + {d} = {c + d}') print('*' * 16) print(f'{a:2} + {b:2} = {a + b:2}') print(f'{c:2} + {d:2} = {c + d:2}') print('*' * 16) print(f'{a:03} + {b:03} = {a + b:03}') print(f'{c:03} + {d:03} = {c + d:03}') print('*' * 16) print(f'string: {s1}') print(f'string: {s1:<10}') print(f'string: {s1:>10}') print('*' * 16) print(f'pi: {pi}') print(f'pi: {pi:.3f}') print(f'pi: {pi:8.3f}') print(f'pi: {pi:08.3f}') print('*' * 16) print(f'{d} = 0x{d:04X}')

27.017241

54

0.432036

289

1,567

2.342561

0.117647

0.047267

0.194978

0.041359

0.592319

0.468242

0.351551

0.183161

0.070901

0

0.120325

0.215061

1,567

58

55

27.017241

0.430081

0

0.236364

0

0.407677

0

1

0

false

0

0.890909

0

null

0

1

0

1

0

null

0

1

0

3

c359453bc4407220df8d33e4bc05023de9bf0094

253

py

Python

app/variables.py

tlwr/notifications-api

88a6b7729edb9be41ce3e7c027f1452b7b6d00d2

[ "MIT" ]

51

2016-04-03T23:36:17.000Z

2022-03-21T20:04:52.000Z

app/variables.py

tlwr/notifications-api

88a6b7729edb9be41ce3e7c027f1452b7b6d00d2

[ "MIT" ]

1,335

2015-12-15T14:28:50.000Z

2022-03-30T16:24:27.000Z

app/variables.py

tlwr/notifications-api

88a6b7729edb9be41ce3e7c027f1452b7b6d00d2

[ "MIT" ]

30

2016-01-08T19:05:32.000Z

2021-12-20T16:37:23.000Z

# all jobs for letters created via the api must have this filename LETTER_API_FILENAME = 'letter submitted via api' LETTER_TEST_API_FILENAME = 'test letter submitted via api' # S3 tags class Retention: KEY = 'retention' ONE_WEEK = 'ONE_WEEK'

23

66

0.750988

38

253

4.815789

0.578947

0.153005

0.196721

0.229508

0

0.004878

0.189723

253

10

67

25.3

0.887805

0.284585

0

0.393258

0

1

0

false

0

0.6

0

null

0

1

0

null

0

1

0

3

c35c513aff433d0c689ba25422d9acc6c6f24c2e

1,030

py

Python

hydra-configs-torch/hydra_configs/torch/utils/data/dataset.py

LaudateCorpus1/hydra-torch

0bd477ce14fe31de511004ab745ce4f3b6b2e7a5

[ "MIT" ]

149

2020-10-14T04:15:09.000Z

2022-03-31T13:10:47.000Z

hydra-configs-torch/hydra_configs/torch/utils/data/dataset.py

LaudateCorpus1/hydra-torch

0bd477ce14fe31de511004ab745ce4f3b6b2e7a5

[ "MIT" ]

57

2020-10-15T17:21:49.000Z

2022-02-25T18:25:18.000Z

hydra-configs-torch/hydra_configs/torch/utils/data/dataset.py

LaudateCorpus1/hydra-torch

0bd477ce14fe31de511004ab745ce4f3b6b2e7a5

[ "MIT" ]

15

2020-10-16T20:32:43.000Z

2022-02-16T06:41:35.000Z

# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved # # Generated by configen, do not edit. # See https://github.com/facebookresearch/hydra/tree/main/tools/configen # fmt: off # isort:skip_file # flake8: noqa from dataclasses import dataclass, field from omegaconf import MISSING from typing import Any @dataclass class DatasetConf: _target_: str = "torch.utils.data.dataset.Dataset" @dataclass class ChainDatasetConf: _target_: str = "torch.utils.data.dataset.ChainDataset" datasets: Any = MISSING @dataclass class ConcatDatasetConf: _target_: str = "torch.utils.data.dataset.ConcatDataset" datasets: Any = MISSING @dataclass class IterableDatasetConf: _target_: str = "torch.utils.data.dataset.IterableDataset" @dataclass class TensorDatasetConf: _target_: str = "torch.utils.data.dataset.TensorDataset" tensors: Any = MISSING @dataclass class SubsetConf: _target_: str = "torch.utils.data.dataset.Subset" dataset: Any = MISSING indices: Any = MISSING

21.914894

72

0.747573

121

1,030

6.256198

0.512397

0.110964

0.150594

0.322325

0.237781

0

0.001152

0.157282

1,030

46

73

22.391304

0.870968

0.206796

0

0.307692

1

0

0.266996

0

1

0

true

0

0.115385

0

0.769231

0

null

0

1

0

null

0

1

0

1

0

3

c3638b1812006f628cb9cbbe2c37003e127cc0d1

339

py

Python

TagScriptEngine/utils.py

Friskytool/TagScript

fa157389e0aa9955e4d8af9a7bb1080525fb8a08

[ "CC-BY-4.0" ]

null

TagScriptEngine/utils.py

Friskytool/TagScript

fa157389e0aa9955e4d8af9a7bb1080525fb8a08

[ "CC-BY-4.0" ]

null

TagScriptEngine/utils.py

Friskytool/TagScript

fa157389e0aa9955e4d8af9a7bb1080525fb8a08

[ "CC-BY-4.0" ]

null

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typedb/api/concept/type/entity_type.py

rpatil524/client-python

e8daba79842a81669f4f4c2799bcc8610e610551

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2019-01-22T19:17:13.000Z

2021-02-06T15:39:59.000Z

typedb/api/concept/type/entity_type.py

rpatil524/client-python

e8daba79842a81669f4f4c2799bcc8610e610551

[ "Apache-2.0" ]

85

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2021-04-08T15:41:43.000Z

typedb/api/concept/type/entity_type.py

rpatil524/client-python

e8daba79842a81669f4f4c2799bcc8610e610551

[ "Apache-2.0" ]

24

2019-01-22T13:21:42.000Z

2021-03-02T18:06:03.000Z

# # Copyright (C) 2021 Vaticle # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # from abc import ABC, abstractmethod from typing import TYPE_CHECKING, Iterator from typedb.api.concept.thing.entity import Entity from typedb.api.concept.type.thing_type import ThingType, RemoteThingType if TYPE_CHECKING: from typedb.api.connection.transaction import TypeDBTransaction class EntityType(ThingType, ABC): def is_entity_type(self): return True @abstractmethod def as_remote(self, transaction: "TypeDBTransaction") -> "RemoteEntityType": pass class RemoteEntityType(RemoteThingType, EntityType, ABC): @abstractmethod def create(self) -> "Entity": pass @abstractmethod def get_instances(self) -> Iterator["Entity"]: pass @abstractmethod def get_subtypes(self) -> Iterator[EntityType]: pass @abstractmethod def set_supertype(self, entity_type: EntityType) -> None: pass

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