xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

1b360f7ecc6eae331a405cb9ec8f79880ab25c8d

146

py

Python

vacuum.py

aayn/vacuum-picar

2a8db4ae5c7fac1d020aa5866d171f937382863c

[ "MIT" ]

2

2019-12-19T17:06:57.000Z

2020-05-27T22:47:25.000Z

vacuum.py

aayn/vacuum-picar

2a8db4ae5c7fac1d020aa5866d171f937382863c

[ "MIT" ]

null

vacuum.py

aayn/vacuum-picar

2a8db4ae5c7fac1d020aa5866d171f937382863c

[ "MIT" ]

null

"""I suck in the dust.""" class Vacuum(object): def input(self): "Dust." def output(self): print('Sucking in dust...')

14.6

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null

0

1

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1

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4

1b5ac491885edbeb385c0d3f51ee8ded0062660f

6,169

py

Python

products/views.py

venkat0708/BalajiVV

ddf74d26a7ecae3f3bc5a902dcab09bf8f30e448

[ "MIT" ]

null

products/views.py

venkat0708/BalajiVV

ddf74d26a7ecae3f3bc5a902dcab09bf8f30e448

[ "MIT" ]

null

products/views.py

venkat0708/BalajiVV

ddf74d26a7ecae3f3bc5a902dcab09bf8f30e448

[ "MIT" ]

null

from django.core.urlresolvers import reverse from django.urls import reverse_lazy from django.views import generic from django.contrib.auth.mixins import UserPassesTestMixin,LoginRequiredMixin from .models import Category,Product, Service # Create your views here. class CategoryIndexView(LoginRequiredMixin,UserPassesTestMixin,generic.ListView): model = Category template_name = 'categories/category_list.html' context_object_name = 'category_list' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class CategoryDetailView(LoginRequiredMixin,UserPassesTestMixin,generic.DetailView): model = Category template_name = 'categories/category_detail.html' context_object_name = 'category' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class CategoryCreateView(LoginRequiredMixin, UserPassesTestMixin,generic.edit.CreateView): model = Category fields = ['name','description'] template_name = 'categories/category_add.html' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] def get_success_url(self): return reverse('products:Category_Index') def test_func(self): print (self.request.user.groups.all()) return 'product management' in [i.name for i in self.request.user.groups.all()] class CategoryUpdateView(LoginRequiredMixin,UserPassesTestMixin,generic.edit.UpdateView): model = Category fields = ['name','description'] template_name = 'categories/category_update.html' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class CategoryDeleteView(LoginRequiredMixin,UserPassesTestMixin,generic.edit.DeleteView): model = Category template_name = 'categories/category_delete.html' success_url = reverse_lazy('products:Category_Index') login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class ProductIndexView(LoginRequiredMixin,UserPassesTestMixin,generic.ListView): model = Product template_name = 'products/products_list.html' context_object_name = 'products_list' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class ProductDetailView(LoginRequiredMixin,UserPassesTestMixin,generic.DetailView): model = Product template_name = 'products/product_detail.html' context_object_name = 'product' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class ProductCreateView(LoginRequiredMixin, UserPassesTestMixin,generic.edit.CreateView): model = Product fields = ['name','description','price','quantity','category'] template_name = 'products/product_add.html' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] def get_success_url(self): return reverse('products:Product_Index') def test_func(self): print (self.request.user.groups.all()) return 'product management' in [i.name for i in self.request.user.groups.all()] class ProductUpdateView(LoginRequiredMixin,UserPassesTestMixin,generic.edit.UpdateView): model = Product fields = ['name','description','price','quantity','category'] template_name = 'products/product_update.html' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class ProductDeleteView(LoginRequiredMixin,UserPassesTestMixin,generic.edit.DeleteView): model = Product template_name = 'products/product_delete.html' success_url = reverse_lazy('products:Product_Index') login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class ServiceIndexView(LoginRequiredMixin,UserPassesTestMixin,generic.ListView): model = Service template_name = 'services/services_list.html' context_object_name = 'Services_list' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class ServiceDetailView(LoginRequiredMixin,UserPassesTestMixin,generic.DetailView): model = Service template_name = 'services/service_detail.html' context_object_name = 'Service' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class ServiceCreateView(LoginRequiredMixin, UserPassesTestMixin,generic.edit.CreateView): model = Service fields = ['name','description','price','quantity','category'] template_name = 'services/service_add.html' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] def get_success_url(self): return reverse('products:Service_Index') def test_func(self): print (self.request.user.groups.all()) return 'product management' in [i.name for i in self.request.user.groups.all()] class ServiceUpdateView(LoginRequiredMixin,UserPassesTestMixin,generic.edit.UpdateView): model = Service fields = ['name','description','price','quantity','category'] template_name = 'services/service_update.html' login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()] class ServiceDeleteView(LoginRequiredMixin,UserPassesTestMixin,generic.edit.DeleteView): model = Service template_name = 'services/service_delete.html' success_url = reverse_lazy('products:Service_Index') login_url = '/' def test_func(self): return 'product management' in [i.name for i in self.request.user.groups.all()]

34.657303

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734

6,169

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0.110354

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0.072414

0.101379

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177

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1

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null

0

1

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1

0

4

1b5af6ddf4a86c8306772b0d251a019290957be7

1,379

gyp

Python

ui/file_manager/file_manager/foreground/elements/compiled_resources2.gyp

xzhan96/chromium.src

1bd0cf3997f947746c0fc5406a2466e7b5f6159e

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

1

2021-01-07T18:51:03.000Z

ui/file_manager/file_manager/foreground/elements/compiled_resources2.gyp

emilio/chromium.src

1bd0cf3997f947746c0fc5406a2466e7b5f6159e

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

ui/file_manager/file_manager/foreground/elements/compiled_resources2.gyp

emilio/chromium.src

1bd0cf3997f947746c0fc5406a2466e7b5f6159e

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

# Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. { 'targets': [ # { # 'target_name': 'files_icon_button', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_metadata_box', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_metadata_entry', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_quick_view', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_ripple', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_safe_img', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_safe_img_webview_content', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_toast', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_toggle_ripple', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_tooltip', # 'includes': ['../../../compile_js2.gypi'], # }, # { # 'target_name': 'files_tooltip_unittest', # 'includes': ['../../../compile_js2.gypi'], # }, ], }

26.519231

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127

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1,379

51

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true

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1

0

1

0

null

0

1

0

4

1b98a0b4b8c47a16fd1a4b611db2d6670b5b579c

89

py

Python

mysite/aNewApp/apps.py

cs-fullstack-fall-2018/django-intro2-jpark1914

88c411c07a48b5d9e2ef9d5012952fc57daa09fb

[ "Apache-2.0" ]

null

mysite/aNewApp/apps.py

cs-fullstack-fall-2018/django-intro2-jpark1914

88c411c07a48b5d9e2ef9d5012952fc57daa09fb

[ "Apache-2.0" ]

null

mysite/aNewApp/apps.py

cs-fullstack-fall-2018/django-intro2-jpark1914

88c411c07a48b5d9e2ef9d5012952fc57daa09fb

[ "Apache-2.0" ]

null

from django.apps import AppConfig class AnewappConfig(AppConfig): name = 'aNewApp'

14.833333

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0.752809

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89

6.7

0.9

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0.168539

89

5

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1

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null

0

1

0

1

0

4

1bb0d975b96b6a434f3689da666b481503cc62a4

663

py

Python

postfix_mail_admin/models/user.py

dyachoksa/postfix-mail-admin

dca49176d0ca1d1af5c500d3cc0b800cc081ed32

[ "MIT" ]

1

2020-12-08T15:45:32.000Z

postfix_mail_admin/models/user.py

dyachoksa/postfix-mail-admin

dca49176d0ca1d1af5c500d3cc0b800cc081ed32

[ "MIT" ]

null

postfix_mail_admin/models/user.py

dyachoksa/postfix-mail-admin

dca49176d0ca1d1af5c500d3cc0b800cc081ed32

[ "MIT" ]

null

from passlib.hash import bcrypt from .base import BaseModel from ..services import db class User(BaseModel): """Internal user account to access admin panel""" __tablename__ = "users" email = db.Column( db.String(150), unique=True, nullable=False, info={"label": "Email"} ) password = db.Column( db.String(150), nullable=False, info={"label": "Password"}, ) def __repr__(self): return f"<User {self.email}>" def __str__(self): return self.email def __hash__(self): return hash((self.id, self.email,)) def set_password(self, value): self.password = bcrypt.hash(value)

22.1

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82

663

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0.075188

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0.080201

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663

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77

22.862069

0.778218

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false

0.263158

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0.736842

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null

0

null

0

1

0

1

0

1

0

4

1bccd894dd05d9c00256171eb7f7f961077877ce

106

py

Python

python/splitDate.py

esix2/coffee-accounting

24337f48e3a1581df4dd5f50d1e17e9f6d89e13a

[ "MIT" ]

null

python/splitDate.py

esix2/coffee-accounting

24337f48e3a1581df4dd5f50d1e17e9f6d89e13a

[ "MIT" ]

null

python/splitDate.py

esix2/coffee-accounting

24337f48e3a1581df4dd5f50d1e17e9f6d89e13a

[ "MIT" ]

null

def splitDate(date): splitup = date.split('.') return splitup[1], splitup[0], splitup[2]

21.2

49

0.584906

13

106

4.769231

0.692308

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0.245283

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0

1

0

null

0

1

0

1

0

4

59edeb46071a0aa08e3cbfe2b31b96722db863f6

180

py

Python

food/urls.py

campbellmarianna/Restaurant-App

362eb14e59204f8e66a007caebc2706bb68a0944

[ "MIT" ]

25

2017-08-13T02:47:20.000Z

2020-12-07T15:24:26.000Z

food/urls.py

campbellmarianna/Restaurant-App

362eb14e59204f8e66a007caebc2706bb68a0944

[ "MIT" ]

5

2020-02-12T03:25:59.000Z

2021-06-10T22:27:22.000Z

food/urls.py

campbellmarianna/Restaurant-App

362eb14e59204f8e66a007caebc2706bb68a0944

[ "MIT" ]

10

2017-12-29T07:57:30.000Z

2022-03-25T20:37:46.000Z

from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.index, name='index'), url(r'api/list', views.get_rest_list, name='get_rest_list'), ]

22.5

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0

1

0

1

0

null

0

1

0

4

59fa69d3c568232b669330ff21191f53463c0c2d

165

py

Python

orders/apps.py

City-of-Turku/munpalvelut_backend

9baa530f2f3405322f74ccc145641148f253341b

[ "MIT" ]

null

orders/apps.py

City-of-Turku/munpalvelut_backend

9baa530f2f3405322f74ccc145641148f253341b

[ "MIT" ]

null

orders/apps.py

City-of-Turku/munpalvelut_backend

9baa530f2f3405322f74ccc145641148f253341b

[ "MIT" ]

null

#!/usr/bin/env python # coding=utf-8 from __future__ import unicode_literals from django.apps import AppConfig class OrdersConfig(AppConfig): name = 'orders'

16.5

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0.763636

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null

0

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1

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4

942211bbfce408fb27b03e86f6cd013cf2b621eb

219

py

Python

src/os_dbnetget/commands/qdb/processor.py

cfhamlet/os-dbnetget

09643e5fc8d8f912199cd54e7be1eeb17154be4b

[ "MIT" ]

10

2018-12-04T14:23:41.000Z

2020-11-27T07:03:05.000Z

src/os_dbnetget/commands/qdb/processor.py

cfhamlet/os-dbnetget

09643e5fc8d8f912199cd54e7be1eeb17154be4b

[ "MIT" ]

1

2018-12-14T13:03:37.000Z

src/os_dbnetget/commands/qdb/processor.py

cfhamlet/os-dbnetget

09643e5fc8d8f912199cd54e7be1eeb17154be4b

[ "MIT" ]

1

2019-03-01T06:29:48.000Z

import logging class Processor(object): def __init__(self, config): self.config = config self._logger = logging.getLogger(self.__class__.__name__) def process(self, data, proto): pass

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false

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1

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4

847295b74c93b2d777b65f81dd73ba399e636233

82

py

Python

Python/InSearchForAnEasyProblem.py

Zardosh/code-forces-solutions

ea1446b8e4f391f3e9ef63094816c7bdaded1557

[ "MIT" ]

null

Python/InSearchForAnEasyProblem.py

Zardosh/code-forces-solutions

ea1446b8e4f391f3e9ef63094816c7bdaded1557

[ "MIT" ]

null

Python/InSearchForAnEasyProblem.py

Zardosh/code-forces-solutions

ea1446b8e4f391f3e9ef63094816c7bdaded1557

[ "MIT" ]

null

n = int(input()) print('EASY' if sum(map(int, input().split())) == 0 else "HARD")

27.333333

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null

1

0

1

0

null

0

1

0

4

84defaf38226530b8bbd5ca5775c9feb26c69fdf

1,403

py

Python

remove-greek-accents.py

kyrpas/SublimeRemoveGreekAccents

92698de6f3004095459bccb0c3be5b4c2f9e3d40

[ "MIT" ]

null

remove-greek-accents.py

kyrpas/SublimeRemoveGreekAccents

92698de6f3004095459bccb0c3be5b4c2f9e3d40

[ "MIT" ]

null

remove-greek-accents.py

kyrpas/SublimeRemoveGreekAccents

92698de6f3004095459bccb0c3be5b4c2f9e3d40

[ "MIT" ]

null

import sublime import sublime_plugin class RemoveGreekAccentsCommand(sublime_plugin.TextCommand): def run(self, edit): for region in self.view.sel(): if region.empty(): sublime.message_dialog(u'Remove Greek Accents: Please select some text') else: myString = self.view.substr(region) myString = myString.replace('Ά' , 'Α') myString = myString.replace('Έ' , 'Ε') myString = myString.replace('Ή' , 'Η') myString = myString.replace('Ί' , 'Ι') myString = myString.replace('Ϊ' , 'Ι') myString = myString.replace('Ϊ́' , 'Ι') myString = myString.replace('Ό' , 'Ο') myString = myString.replace('Ύ' , 'Υ') myString = myString.replace('Ώ' , 'Ω') myString = myString.replace('ά' , 'α') myString = myString.replace('έ' , 'ε') myString = myString.replace('ή' , 'η') myString = myString.replace('ί' , 'ι') myString = myString.replace('ϊ' , 'ι') myString = myString.replace('ΐ' , 'ι') myString = myString.replace('ό' , 'ο') myString = myString.replace('ύ' , 'υ') myString = myString.replace('ώ' , 'ω') self.view.replace(edit, region, myString)

46.766667

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null

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84e6145e17d1249c421ae8fd22fb5fc243060c0a

57

py

Python

packages/core/minos-microservice-networks/tests/__init__.py

sorasful/minos-python

1189330eebf6444627a2af6b29f347670f95a4dd

[ "MIT" ]

247

2022-01-24T14:55:30.000Z

2022-03-25T12:06:17.000Z

packages/core/minos-microservice-networks/tests/__init__.py

sorasful/minos-python

1189330eebf6444627a2af6b29f347670f95a4dd

[ "MIT" ]

275

2021-04-03T09:23:40.000Z

2022-01-28T11:56:25.000Z

tests/__init__.py

Clariteia/minos_microservice_networks

77f239429653272c5cb3447311513143f8521ed9

[ "MIT" ]

21

2022-02-06T17:25:58.000Z

2022-03-27T04:50:29.000Z

"""Unit test package for minos_microservice_networks."""

28.5

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true

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4

170484d47a722f8a61dc61b72cb1f7eb86117ded

64

py

Python

Decorator/Python 3/IPrinter.py

kuuhaku86/design-patterns

9044ecbeb366fec97e27f1ec51e66d0fafdace07

[ "MIT" ]

11

2022-03-24T15:08:06.000Z

2022-03-30T19:24:30.000Z

Decorator/Python 3/IPrinter.py

kuuhaku86/design-patterns

9044ecbeb366fec97e27f1ec51e66d0fafdace07

[ "MIT" ]

null

Decorator/Python 3/IPrinter.py

kuuhaku86/design-patterns

9044ecbeb366fec97e27f1ec51e66d0fafdace07

[ "MIT" ]

null

class IPrinter: def print(self): raise NotImplementedError

21.333333

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7

64

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1

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0.171875

64

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29

21.333333

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false

0

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py

Python

src/core/migrations/__init__.py

mheppner/django-x10

8c80688ccd702e101b204b34f2b6722a3596db77

[ "MIT" ]

null

src/core/migrations/__init__.py

mheppner/django-x10

8c80688ccd702e101b204b34f2b6722a3596db77

[ "MIT" ]

null

src/core/migrations/__init__.py

mheppner/django-x10

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"""Core migration scripts."""

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py

Python

chessresults/berkeleydb/__init__.py

RogerMarsh/chessresults

374d4f399a59c246c3d595157e45f3b15d3cf4be

[ "BSD-3-Clause" ]

null

chessresults/berkeleydb/__init__.py

RogerMarsh/chessresults

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[ "BSD-3-Clause" ]

null

chessresults/berkeleydb/__init__.py

RogerMarsh/chessresults

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[ "BSD-3-Clause" ]

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Python

mit-ml/project0/main.py

stepinski/machinelearning

1f84883a25616da4cd76bb4655267efd3421e561

[ "MIT" ]

null

mit-ml/project0/main.py

stepinski/machinelearning

1f84883a25616da4cd76bb4655267efd3421e561

[ "MIT" ]

null

mit-ml/project0/main.py

stepinski/machinelearning

1f84883a25616da4cd76bb4655267efd3421e561

[ "MIT" ]

null

import numpy as np def randomization(n): """ Arg: n - an integer Returns: A - a randomly-generated nx1 Numpy array. """ #Your code here return np.random.random([n,1]) def operations(h, w): """ Takes two inputs, h and w, and makes two Numpy arrays A and B of size h x w, and returns A, B, and s, the sum of A and B. Arg: h - an integer describing the height of A and B w - an integer describing the width of A and B Returns (in this order): A - a randomly-generated h x w Numpy array. B - a randomly-generated h x w Numpy array. s - the sum of A and B. """ #Your code here A=np.random.random([h,w]) B=np.random.random([h,w]) s=A+B return A,B,s def norm(A, B): """ Takes two Numpy column arrays, A and B, and returns the L2 norm of their sum. Arg: A - a Numpy array B - a Numpy array Returns: s - the L2 norm of A+B. """ #Your code here return np.linalg.norm(A+B) def neural_network(inputs, weights): """ Takes an input vector and runs it through a 1-layer neural network with a given weight matrix and returns the output. Arg: inputs - 2 x 1 NumPy array weights - 2 x 1 NumPy array Returns (in this order): out - a 1 x 1 NumPy array, representing the output of the neural network """ #Your code here return np.tanh(np.matmul(np.transpose(weights),inputs)) def scalar_function(x, y): """ Returns the f(x,y) defined in the problem statement. """ #Your code here return x*y if x<=y else x/y def vector_function(x, y): """ Make sure vector_function can deal with vector input x,y """ #Your code here tmp = np.vectorize(scalar_function) return tmp(x,y)

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Python

Grammar/programms/operators.py

Alberto42/Interpreter

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Grammar/programms/operators.py

Alberto42/Interpreter

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Grammar/programms/operators.py

Alberto42/Interpreter

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[ "BSD-3-Clause" ]

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a = 2 < 3 b = 2 + 4 c = (1 <= 2 ) and (1 <= 3) x = 1 + 2 * 3 y = 1 * 2 + 3 x = 2+3 < 2+1 or 2 < 3 and not not True y = not True and False

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Python

src/lamberthub/p_solvers/__init__.py

jorgepiloto/lamberthub

fedf6aaa939ee08e3bccb754b519397352cb5a84

[ "Apache-2.0" ]

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2021-05-18T11:16:09.000Z

2022-02-07T13:20:37.000Z

src/lamberthub/p_solvers/__init__.py

jorgepiloto/lamberthub

fedf6aaa939ee08e3bccb754b519397352cb5a84

[ "Apache-2.0" ]

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2021-05-18T10:08:58.000Z

2021-10-14T14:28:05.000Z

src/lamberthub/p_solvers/__init__.py

jorgepiloto/lamberthub

fedf6aaa939ee08e3bccb754b519397352cb5a84

[ "Apache-2.0" ]

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2021-10-21T15:00:00.000Z

"""A sub-package holding all orbital parameter based solvers"""

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Python

pyblast/__init__.py

jvrana/pyblast

0f7ee7575e97470bfd05a2373d9c68247ec4ead0

[ "MIT" ]

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2021-07-16T16:29:02.000Z

pyblast/__init__.py

jvrana/pyblast

0f7ee7575e97470bfd05a2373d9c68247ec4ead0

[ "MIT" ]

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2017-10-19T22:02:05.000Z

2020-04-09T20:45:23.000Z

pyblast/__init__.py

jvrana/pyblast2

573e3c52d8fff42c8a131b7d384e28065cd4e096

[ "MIT" ]

null

""".. module:: pyblast. Submodules ========== .. autosummary:: :toctree: _autosummary BioBlast JSONBlast BioBlastFactory utils.Span utils """ from .__bin__ import __bin__ from .__version__ import __authors__ from .__version__ import __homepage__ from .__version__ import __repo__ from .__version__ import __title__ from .__version__ import __version__ from .blast import BioBlast from .blast import BioBlastFactory from .blast import JSONBlast from .cli import entrypoint

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py

Python

tests/local_config.py

ScholarPack/environment-manager

9b9701dbae53be7b75968cf4873419b34f9971a7

[ "MIT" ]

null

tests/local_config.py

ScholarPack/environment-manager

9b9701dbae53be7b75968cf4873419b34f9971a7

[ "MIT" ]

1

2021-02-04T08:47:07.000Z

tests/local_config.py

ScholarPack/flask-environment-manager

9b9701dbae53be7b75968cf4873419b34f9971a7

[ "MIT" ]

null

TEST1 = 1 TEST2 = 2

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py

Python

aiotdlib/api/functions/clear_recently_found_chats.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

37

2021-05-04T10:41:41.000Z

2022-03-30T13:48:05.000Z

aiotdlib/api/functions/clear_recently_found_chats.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

13

2021-07-17T19:54:51.000Z

2022-02-26T06:50:00.000Z

aiotdlib/api/functions/clear_recently_found_chats.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 ClearRecentlyFoundChats(BaseObject): """ Clears the list of recently found chats """ ID: str = Field("clearRecentlyFoundChats", alias="@type") @staticmethod def read(q: dict) -> ClearRecentlyFoundChats: return ClearRecentlyFoundChats.construct(**q)

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py

Python

applications/contents/serializers.py

afmicc/python-target-api

6216721f61f4baae00e4d7281a7441ad0c30652f

[ "MIT" ]

null

applications/contents/serializers.py

afmicc/python-target-api

6216721f61f4baae00e4d7281a7441ad0c30652f

[ "MIT" ]

4

2020-07-08T18:21:42.000Z

2021-03-22T15:21:09.000Z

applications/contents/serializers.py

afmicc/python-target-api

6216721f61f4baae00e4d7281a7441ad0c30652f

[ "MIT" ]

1

2020-07-29T22:11:27.000Z

from rest_framework import serializers from .models import Content class ContentSerializer(serializers.ModelSerializer): class Meta: model = Content exclude = ('id', )

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py

Python

Beginning-Python/11/11-6.py

llinmeng/PythonStudy

68c27eaa302b95aa4fb35d794f0d645f98b832dd

[ "MIT" ]

null

Beginning-Python/11/11-6.py

llinmeng/PythonStudy

68c27eaa302b95aa4fb35d794f0d645f98b832dd

[ "MIT" ]

null

Beginning-Python/11/11-6.py

llinmeng/PythonStudy

68c27eaa302b95aa4fb35d794f0d645f98b832dd

[ "MIT" ]

null

# -*- coding: utf-8 -*- f = open(filename) char = f.read(1) while char: process(char) char = f.read(1) f.close()

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py

Python

env/Lib/site-packages/sqlalchemy/util/__init__.py

m4573rn3rd/flaskaiml

076c4064a52e8717a80fc5e79304e1c5d889116c

[ "MIT" ]

null

env/Lib/site-packages/sqlalchemy/util/__init__.py

m4573rn3rd/flaskaiml

076c4064a52e8717a80fc5e79304e1c5d889116c

[ "MIT" ]

null

env/Lib/site-packages/sqlalchemy/util/__init__.py

m4573rn3rd/flaskaiml

076c4064a52e8717a80fc5e79304e1c5d889116c

[ "MIT" ]

1

2021-06-20T19:28:37.000Z

# util/__init__.py # Copyright (C) 2005-2021 the SQLAlchemy authors and contributors # <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php from collections import defaultdict from contextlib import contextmanager from functools import partial from functools import update_wrapper from ._collections import coerce_generator_arg from ._collections import coerce_to_immutabledict from ._collections import collections_abc from ._collections import column_dict from ._collections import column_set from ._collections import EMPTY_DICT from ._collections import EMPTY_SET from ._collections import FacadeDict from ._collections import flatten_iterator from ._collections import has_dupes from ._collections import has_intersection from ._collections import IdentitySet from ._collections import ImmutableContainer from ._collections import immutabledict from ._collections import ImmutableProperties from ._collections import LRUCache from ._collections import ordered_column_set from ._collections import OrderedDict from ._collections import OrderedIdentitySet from ._collections import OrderedProperties from ._collections import OrderedSet from ._collections import PopulateDict from ._collections import Properties from ._collections import ScopedRegistry from ._collections import sort_dictionary from ._collections import ThreadLocalRegistry from ._collections import to_column_set from ._collections import to_list from ._collections import to_set from ._collections import unique_list from ._collections import UniqueAppender from ._collections import update_copy from ._collections import WeakPopulateDict from ._collections import WeakSequence from ._preloaded import preload_module from ._preloaded import preloaded from .compat import ABC from .compat import arm from .compat import b from .compat import b64decode from .compat import b64encode from .compat import binary_type from .compat import byte_buffer from .compat import callable from .compat import cmp from .compat import cpython from .compat import dataclass_fields from .compat import decode_backslashreplace from .compat import dottedgetter from .compat import has_refcount_gc from .compat import inspect_getfullargspec from .compat import int_types from .compat import iterbytes from .compat import itertools_filter from .compat import itertools_filterfalse from .compat import local_dataclass_fields from .compat import namedtuple from .compat import next from .compat import nullcontext from .compat import osx from .compat import parse_qsl from .compat import perf_counter from .compat import pickle from .compat import print_ from .compat import py2k from .compat import py37 from .compat import py3k from .compat import pypy from .compat import quote_plus from .compat import raise_ from .compat import raise_from_cause from .compat import reduce from .compat import reraise from .compat import string_types from .compat import StringIO from .compat import text_type from .compat import threading from .compat import timezone from .compat import TYPE_CHECKING from .compat import u from .compat import ue from .compat import unquote from .compat import unquote_plus from .compat import win32 from .compat import with_metaclass from .compat import zip_longest from .concurrency import asyncio from .concurrency import await_fallback from .concurrency import await_only from .concurrency import greenlet_spawn from .concurrency import is_exit_exception from .deprecations import deprecated from .deprecations import deprecated_20 from .deprecations import deprecated_20_cls from .deprecations import deprecated_cls from .deprecations import deprecated_params from .deprecations import inject_docstring_text from .deprecations import moved_20 from .deprecations import SQLALCHEMY_WARN_20 from .deprecations import warn_deprecated from .deprecations import warn_deprecated_20 from .langhelpers import add_parameter_text from .langhelpers import as_interface from .langhelpers import asbool from .langhelpers import asint from .langhelpers import assert_arg_type from .langhelpers import attrsetter from .langhelpers import bool_or_str from .langhelpers import chop_traceback from .langhelpers import class_hierarchy from .langhelpers import classproperty from .langhelpers import clsname_as_plain_name from .langhelpers import coerce_kw_type from .langhelpers import constructor_copy from .langhelpers import constructor_key from .langhelpers import counter from .langhelpers import create_proxy_methods from .langhelpers import decode_slice from .langhelpers import decorator from .langhelpers import dictlike_iteritems from .langhelpers import duck_type_collection from .langhelpers import ellipses_string from .langhelpers import EnsureKWArgType from .langhelpers import format_argspec_init from .langhelpers import format_argspec_plus from .langhelpers import generic_repr from .langhelpers import get_callable_argspec from .langhelpers import get_cls_kwargs from .langhelpers import get_func_kwargs from .langhelpers import getargspec_init from .langhelpers import has_compiled_ext from .langhelpers import HasMemoized from .langhelpers import hybridmethod from .langhelpers import hybridproperty from .langhelpers import iterate_attributes from .langhelpers import map_bits from .langhelpers import md5_hex from .langhelpers import memoized_instancemethod from .langhelpers import memoized_property from .langhelpers import MemoizedSlots from .langhelpers import method_is_overridden from .langhelpers import methods_equivalent from .langhelpers import monkeypatch_proxied_specials from .langhelpers import NoneType from .langhelpers import only_once from .langhelpers import PluginLoader from .langhelpers import portable_instancemethod from .langhelpers import quoted_token_parser from .langhelpers import safe_reraise from .langhelpers import set_creation_order from .langhelpers import string_or_unprintable from .langhelpers import symbol from .langhelpers import unbound_method_to_callable from .langhelpers import walk_subclasses from .langhelpers import warn from .langhelpers import warn_exception from .langhelpers import warn_limited from .langhelpers import wrap_callable

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py

Python

tpdatasrc/kotbfixes/scr/_include.py

edoipi/TemplePlus

f0e552289822fea908f16daa379fa568b1bd286d

[ "MIT" ]

69

2015-05-05T14:09:25.000Z

2022-02-15T06:13:04.000Z

tpdatasrc/kotbfixes/scr/_include.py

edoipi/TemplePlus

f0e552289822fea908f16daa379fa568b1bd286d

[ "MIT" ]

457

2015-05-01T22:07:45.000Z

2022-03-31T02:19:10.000Z

tpdatasrc/kotbfixes/scr/_include.py

edoipi/TemplePlus

f0e552289822fea908f16daa379fa568b1bd286d

[ "MIT" ]

25

2016-02-04T21:19:53.000Z

2021-11-15T23:14:51.000Z

##Allows importing packages under \scr in game scripts. - Spellslinger import sys #modules are imported only once, thus this should suffice sys.path.append("data\\scr")

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8e1c8c857c071db4b2a955df53b5797ca0a25114

428

py

Python

src/cardiac_geometries/_gmsh/__init__.py

ComputationalPhysiology/cardiac_geometries

ce4a621f5f067554fca58460ddb1892189aadd99

[ "MIT" ]

1

2022-01-31T11:14:08.000Z

src/cardiac_geometries/_gmsh/__init__.py

ComputationalPhysiology/cardiac_geometries

ce4a621f5f067554fca58460ddb1892189aadd99

[ "MIT" ]

null

src/cardiac_geometries/_gmsh/__init__.py

ComputationalPhysiology/cardiac_geometries

ce4a621f5f067554fca58460ddb1892189aadd99

[ "MIT" ]

null

from ._lv_ellipsoid import create_benchmark_geometry_land15 from ._lv_ellipsoid import lv_ellipsoid from ._lv_ellipsoid import lv_ellipsoid_flat_base from ._lv_ellipsoid import prolate_lv_ellipsoid from ._lv_ellipsoid import prolate_lv_ellipsoid_flat_base __all__ = [ "lv_ellipsoid", "lv_ellipsoid_flat_base", "prolate_lv_ellipsoid_flat_base", "prolate_lv_ellipsoid", "create_benchmark_geometry_land15", ]

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py

Python

scripts/MI01B_Preprocessing_imagesIDs.py

alanlegoallec/Age_Sex_and_Medical_Images

d2b57bef1484360e129e9e2c97d4ae535c68e9c9

[ "MIT" ]

null

scripts/MI01B_Preprocessing_imagesIDs.py

alanlegoallec/Age_Sex_and_Medical_Images

d2b57bef1484360e129e9e2c97d4ae535c68e9c9

[ "MIT" ]

4

2021-08-25T15:13:50.000Z

2022-02-09T23:58:01.000Z

scripts/MI01B_Preprocessing_imagesIDs.py

alanlegoallec/Age_Sex_and_Medical_Images

d2b57bef1484360e129e9e2c97d4ae535c68e9c9

[ "MIT" ]

null

import sys from MI_Classes import PreprocessingImagesIDs # Compute results Preprocessing_ImagesIDs = PreprocessingImagesIDs() Preprocessing_ImagesIDs.generate_eids_splits() # Exit print('Done.') sys.exit(0)

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null

0

1

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4

f3f39bbb56054f4e558ee4b5b54776a507a748f4

60

py

Python

debug_gunicorn.py

Making-It/gunicorn

dc50f237ecb9f6e3402d6b6281d37b0fe8638f5e

[ "MIT" ]

null

debug_gunicorn.py

Making-It/gunicorn

dc50f237ecb9f6e3402d6b6281d37b0fe8638f5e

[ "MIT" ]

null

debug_gunicorn.py

Making-It/gunicorn

dc50f237ecb9f6e3402d6b6281d37b0fe8638f5e

[ "MIT" ]

null

# coding=utf-8 from gunicorn.app.wsgiapp import run run()

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1

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null

0

1

0

1

0

4

6d105cc8a69d9a1f0416e6446eb47f54f83f139d

95

py

Python

kattis/carrots.py

Ashindustry007/competitive-programming

2eabd3975c029d235abb7854569593d334acae2f

[ "WTFPL" ]

506

2018-08-22T10:30:38.000Z

2022-03-31T10:01:49.000Z

kattis/carrots.py

Ashindustry007/competitive-programming

2eabd3975c029d235abb7854569593d334acae2f

[ "WTFPL" ]

13

2019-08-07T18:31:18.000Z

2020-12-15T21:54:41.000Z

kattis/carrots.py

Ashindustry007/competitive-programming

2eabd3975c029d235abb7854569593d334acae2f

[ "WTFPL" ]

234

2018-08-06T17:11:41.000Z

2022-03-26T10:56:42.000Z

#!/usr/bin/env python2 # https://open.kattis.com/problems/carrots print raw_input().split()[1]

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1

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null

0

1

0

1

0

4

6d10a97644e5b29c77c16842b90d8f4b0d01dd17

23

py

Python

nflwin/_version.py

AndrewRook/NFLWin

4440f87676d87a52311c566f3b241a11a64a440c

[ "MIT" ]

15

2016-09-12T16:16:54.000Z

2021-12-28T03:28:50.000Z

nflwin/_version.py

pretzel583/NFLWin

4440f87676d87a52311c566f3b241a11a64a440c

[ "MIT" ]

12

2016-06-10T01:52:49.000Z

2019-10-18T00:51:12.000Z

nflwin/_version.py

pretzel583/NFLWin

4440f87676d87a52311c566f3b241a11a64a440c

[ "MIT" ]

8

2017-05-21T17:04:01.000Z

2021-12-28T03:27:34.000Z

__version__ = u"1.0.1"

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1

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0

1

0

1

0

null

0

4

6d2bf07234ec69b64975bc62ed8e9153fe735e33

193

py

Python

stocks/apps.py

dcopm999/pharmcrm2-stocks

25a928f0cf7f97d48ec88f56aa0257c499e1ff7e

[ "MIT" ]

null

stocks/apps.py

dcopm999/pharmcrm2-stocks

25a928f0cf7f97d48ec88f56aa0257c499e1ff7e

[ "MIT" ]

null

stocks/apps.py

dcopm999/pharmcrm2-stocks

25a928f0cf7f97d48ec88f56aa0257c499e1ff7e

[ "MIT" ]

null

# -*- coding: utf-8 from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class StocksConfig(AppConfig): name = "stocks" verbose_name = _("stocks")

21.444444

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null

0

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0

4

6d57f881e93063a822a9f7badd231b9b2020bdf5

124

py

Python

CommentAnalyze/Taobao/step4_sentiments/train_model/train.py

seriouszyx/software-engineering

0a961b9e38104027b0fd98e1ad36d3d118a84dd9

[ "MIT" ]

15

2019-12-12T13:45:02.000Z

2022-03-13T05:02:51.000Z

CommentAnalyze/Taobao/step4_sentiments/train_model/train.py

seriouszyx/software-engineering

0a961b9e38104027b0fd98e1ad36d3d118a84dd9

[ "MIT" ]

null

CommentAnalyze/Taobao/step4_sentiments/train_model/train.py

seriouszyx/software-engineering

0a961b9e38104027b0fd98e1ad36d3d118a84dd9

[ "MIT" ]

5

2019-12-12T12:34:03.000Z

2022-03-13T05:02:54.000Z

from snownlp import sentiment sentiment.train('negative_dict.txt', 'positive_dict.txt') sentiment.save('sentiment.marshal')

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124

6.1875

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0

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0

1

0

4

6d62cbed0b130f7e6fea0afc949d9491c5a9add4

162

py

Python

zsync/__init__.py

presslabs/zsync

46b7cecaa2473d17306cdc686c1649ffdeee6633

[ "MIT" ]

1

2018-07-11T14:55:54.000Z

zsync/__init__.py

presslabs/zsync

46b7cecaa2473d17306cdc686c1649ffdeee6633

[ "MIT" ]

null

zsync/__init__.py

presslabs/zsync

46b7cecaa2473d17306cdc686c1649ffdeee6633

[ "MIT" ]

null

from .pipeable import Pipeable from .receivable import Receivable from .sync import Sync from .s3 import S3 from .local import Local from .remote import Remote

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162

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1

0

null

0

1

0

1

0

4

ed8d67674498425cf766d04daf89b8ad67de8612

200

py

Python

setup.py

chaosfissure/smartgrad

11a7ee7f72e782dc5f1378dea26f69d16cef5085

[ "MIT" ]

null

setup.py

chaosfissure/smartgrad

11a7ee7f72e782dc5f1378dea26f69d16cef5085

[ "MIT" ]

null

setup.py

chaosfissure/smartgrad

11a7ee7f72e782dc5f1378dea26f69d16cef5085

[ "MIT" ]

null

from distutils.core import setup from Cython.Build import cythonize import numpy setup( ext_modules = cythonize('*.pyx', annotate=True, language_level=3), include_dirs = [numpy.get_include()], )

22.222222

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200

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0

1

0

true

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0

null

0

1

0

null

0

1

0

1

0

4

edf6aaa820589edf62ee6fe31c557d343b1537f8

266

py

Python

EvaMap/Dimensions/Coverability.py

benjimor/EvaMap

42e616abe9f15925b885797d30496e30615989a0

[ "MIT" ]

1

2021-01-29T18:53:26.000Z

EvaMap/Dimensions/Coverability.py

benjimor/EvaMap

42e616abe9f15925b885797d30496e30615989a0

[ "MIT" ]

1

2021-06-06T17:56:00.000Z

EvaMap/Dimensions/Coverability.py

benjimor/EvaMap

42e616abe9f15925b885797d30496e30615989a0

[ "MIT" ]

null

from EvaMap.Dimensions.Dimension import Dimension from EvaMap.Metrics.verticalCoverage import verticalCoverage class Coverability(Dimension): def __init__(self, nom='Coverability', list_metrics=[verticalCoverage]): super().__init__(nom, list_metrics)

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266

7.178571

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0

0.116541

266

8

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1

0.2

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0

0.4

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0.8

0

1

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null

0

1

0

null

0

1

0

1

0

4

6103c5b600300fcec8de5b8d09af51ad90e707b2

149

py

Python

golem_driving/agents/__init__.py

KNSI-Golem/Duckietown-Driving-Olympics

051294c8094a81e7cd51efe5ec904c314d345c0a

[ "MIT" ]

null

golem_driving/agents/__init__.py

KNSI-Golem/Duckietown-Driving-Olympics

051294c8094a81e7cd51efe5ec904c314d345c0a

[ "MIT" ]

10

2019-12-19T16:47:15.000Z

2020-05-27T18:11:36.000Z

golem_driving/agents/__init__.py

KNSI-Golem/Duckietown-Driving-Olympics

051294c8094a81e7cd51efe5ec904c314d345c0a

[ "MIT" ]

null

from golem_driving.agents.manual_agent import ManualAgent agents = { 'manual': ManualAgent } def get_agent(agent): return agents[agent]()

14.9

57

0.731544

18

149

5.888889

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0.167785

149

9

58

16.555556

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null

1

0

1

0

null

0

1

0

4

611fb9132e1054a4385837867f0023506b17832a

2,313

py

Python

x_item.py

wholetonegames/panda3d-ness-rpg

8d81e8418c1bc20706b5b3f4c0631fe9bd76a65e

[ "MIT" ]

1

2021-02-01T03:09:28.000Z

x_item.py

wholetonegames/panda3d-ness-rpg

8d81e8418c1bc20706b5b3f4c0631fe9bd76a65e

[ "MIT" ]

null

x_item.py

wholetonegames/panda3d-ness-rpg

8d81e8418c1bc20706b5b3f4c0631fe9bd76a65e

[ "MIT" ]

null

class ItemModel: def __init__(self): self.vowels = ['A', 'E', 'I', 'O', 'U'] self.rare_letters = ['X', 'J'] self.other_letters = ['B', 'C', 'D', 'F', 'G', 'H', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'V', 'W', 'Y', 'Z'] self.items = [ {"id": 1, "name": "A", 'costs': {'amount': 1}, "affects": {}}, {"id": 2, "name": "B", 'costs': {'amount': 1}, "affects": {}}, {"id": 3, "name": "C", 'costs': {'amount': 1}, "affects": {}}, {"id": 4, "name": "D", 'costs': {'amount': 1}, "affects": {}}, {"id": 5, "name": "E", 'costs': {'amount': 1}, "affects": {}}, {"id": 6, "name": "F", 'costs': {'amount': 1}, "affects": {}}, {"id": 7, "name": "G", 'costs': {'amount': 1}, "affects": {}}, {"id": 8, "name": "H", 'costs': {'amount': 1}, "affects": {}}, {"id": 9, "name": "I", 'costs': {'amount': 1}, "affects": {}}, {"id": 10, "name": "J", 'costs': {'amount': 1}, "affects": {}}, {"id": 11, "name": "K", 'costs': {'amount': 1}, "affects": {}}, {"id": 12, "name": "L", 'costs': {'amount': 1}, "affects": {}}, {"id": 13, "name": "M", 'costs': {'amount': 1}, "affects": {}}, {"id": 14, "name": "N", 'costs': {'amount': 1}, "affects": {}}, {"id": 15, "name": "O", 'costs': {'amount': 1}, "affects": {}}, {"id": 16, "name": "P", 'costs': {'amount': 1}, "affects": {}}, {"id": 17, "name": "Q", 'costs': {'amount': 1}, "affects": {}}, {"id": 18, "name": "R", 'costs': {'amount': 1}, "affects": {}}, {"id": 19, "name": "S", 'costs': {'amount': 1}, "affects": {}}, {"id": 20, "name": "T", 'costs': {'amount': 1}, "affects": {}}, {"id": 21, "name": "U", 'costs': {'amount': 1}, "affects": {}}, {"id": 22, "name": "V", 'costs': {'amount': 1}, "affects": {}}, {"id": 23, "name": "W", 'costs': {'amount': 1}, "affects": {}}, {"id": 24, "name": "X", 'costs': {'amount': 1}, "affects": {}}, {"id": 25, "name": "Y", 'costs': {'amount': 1}, "affects": {}}, {"id": 26, "name": "Z", 'costs': {'amount': 1}, "affects": {}} ]

62.513514

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0

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2,313

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1

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0.057143

0

null

1

0

1

0

null

0

4

b6331e5d3eb47d393d645b812dc9f2b414941faf

96

py

Python

venv/Lib/site-packages/imdb/parser/sql/logging.py

ZUSM0/zynoPYsis

0cbe84d60a9611eac4daed82176477939bf79183

[ "MIT" ]

null

venv/Lib/site-packages/imdb/parser/sql/logging.py

ZUSM0/zynoPYsis

0cbe84d60a9611eac4daed82176477939bf79183

[ "MIT" ]

null

venv/Lib/site-packages/imdb/parser/sql/logging.py

ZUSM0/zynoPYsis

0cbe84d60a9611eac4daed82176477939bf79183

[ "MIT" ]

null

from imdb.parser.logging import logger as parent_logger logger = parent_logger.getChild('sql')

24

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14

96

5.428571

0.714286

0.315789

0

0.104167

96

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1

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0.5

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0.5

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null

1

0

1

0

null

0

1

0

4

b64c91a3e1ea4c117bd5f6efba4ce2668323cd7f

104

py

Python

run.py

CoffeeStraw/CapsNet-Knowledge-Extractor

99dc665bcce394e4dfa0b8a6deda28d1e3713509

[ "MIT" ]

5

2020-09-29T13:34:23.000Z

2021-12-01T15:27:53.000Z

run.py

CoffeeStraw/CapsNet-Knowledge-Extractor

99dc665bcce394e4dfa0b8a6deda28d1e3713509

[ "MIT" ]

null

run.py

CoffeeStraw/CapsNet-Knowledge-Extractor

99dc665bcce394e4dfa0b8a6deda28d1e3713509

[ "MIT" ]

null

""" Flask debug server runner Author: Antonio Strippoli """ from flaskr import app app.run(debug=True)

13

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0.75

15

104

5.2

0.866667

0

0.144231

104

7

26

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true

0

0.5

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0

1

0

null

0

1

0

1

0

4

b670d62afa03212ff88dc521ec9a218462b10dd9

4,501

py

Python

gym3/trajectory_recorder_test.py

christopher-hesse/gym3

2ed9d344ede8bbd96b6280e9fbbbf55861ea33a9

[ "MIT" ]

null

gym3/trajectory_recorder_test.py

christopher-hesse/gym3

2ed9d344ede8bbd96b6280e9fbbbf55861ea33a9

[ "MIT" ]

null

gym3/trajectory_recorder_test.py

christopher-hesse/gym3

2ed9d344ede8bbd96b6280e9fbbbf55861ea33a9

[ "MIT" ]

null

import os import pickle import tempfile from glob import glob import numpy as np from gym3 import types, types_np from gym3.concat import ConcatEnv from gym3.testing import IdentityEnv from gym3.trajectory_recorder import TrajectoryRecorderWrapper def test_recorder(): with tempfile.TemporaryDirectory() as tmpdir: ep_len1 = 3 ep_len2 = 4 env1 = IdentityEnv( space=types.TensorType(eltype=types.Discrete(256), shape=(3, 3, 3)), episode_len=ep_len1, ) env2 = IdentityEnv( space=types.TensorType(eltype=types.Discrete(256), shape=(3, 3, 3)), episode_len=ep_len2, seed=1, ) env = ConcatEnv([env1, env2]) env = TrajectoryRecorderWrapper(env=env, directory=tmpdir) _, obs, _ = env.observe() action = types_np.zeros(env.ac_space, bshape=(env.num,)) action[1] = 1 num_acs = 10 for _ in range(num_acs): env.act(action) files = sorted(glob(os.path.join(tmpdir, "*.pickle"))) print(files) assert len(files) == (num_acs // ep_len1) + (num_acs // ep_len2) with open(files[0], "rb") as f: loaded_traj = pickle.load(f) assert len(loaded_traj["ob"]) == ep_len1 assert np.allclose(loaded_traj["ob"][0], obs[0]) assert np.allclose(loaded_traj["act"][0], action[0]) with open(files[1], "rb") as f: loaded_traj = pickle.load(f) assert len(loaded_traj["ob"]) == ep_len2 assert np.allclose(loaded_traj["ob"][0], obs[1]) assert np.allclose(loaded_traj["act"][0], action[1]) def test_recorder_dict(): with tempfile.TemporaryDirectory() as tmpdir: ep_len1 = 3 ep_len2 = 4 space = types.DictType( a=types.TensorType(eltype=types.Discrete(256), shape=(2,)), b=types.DictType( c=types.TensorType(eltype=types.Discrete(256), shape=()), d=types.TensorType(eltype=types.Discrete(256), shape=(2, 2)), ), ) env1 = IdentityEnv(space=space, episode_len=ep_len1) env2 = IdentityEnv(space=space, episode_len=ep_len2, seed=1) env = ConcatEnv([env1, env2]) env = TrajectoryRecorderWrapper(env=env, directory=tmpdir) print(env._trajectories) _, obs, _ = env.observe() action = { "a": types_np.zeros(env.ac_space["a"], bshape=(env.num,)), "b": { "c": types_np.zeros(env.ac_space["b"]["c"], bshape=(env.num,)), "d": types_np.zeros(env.ac_space["b"]["d"], bshape=(env.num,)), }, } action["a"][1] = 1 action["b"]["c"][1] = 1 action["b"]["d"][1] = 1 num_acs = 10 for _ in range(num_acs): env.act(action) files = sorted(glob(os.path.join(tmpdir, "*.pickle"))) print(files) assert len(files) == (num_acs // ep_len1) + (num_acs // ep_len2) with open(files[0], "rb") as f: loaded_traj = pickle.load(f) assert len(loaded_traj["ob"]["a"]) == ep_len1 assert len(loaded_traj["ob"]["b"]["c"]) == ep_len1 assert len(loaded_traj["ob"]["b"]["d"]) == ep_len1 assert np.allclose(loaded_traj["ob"]["a"][0], obs["a"][0]) assert np.allclose(loaded_traj["ob"]["b"]["c"][0], obs["b"]["c"][0]) assert np.allclose(loaded_traj["ob"]["b"]["d"][0], obs["b"]["d"][0]) assert np.allclose(loaded_traj["act"]["a"][0], action["a"][0]) assert np.allclose(loaded_traj["act"]["b"]["c"][0], action["b"]["c"][0]) assert np.allclose(loaded_traj["act"]["b"]["d"][0], action["b"]["d"][0]) with open(files[1], "rb") as f: loaded_traj = pickle.load(f) assert len(loaded_traj["ob"]["a"]) == ep_len2 assert len(loaded_traj["ob"]["b"]["c"]) == ep_len2 assert len(loaded_traj["ob"]["b"]["d"]) == ep_len2 assert np.allclose(loaded_traj["ob"]["a"][0], obs["a"][1]) assert np.allclose(loaded_traj["ob"]["b"]["c"][0], obs["b"]["c"][1]) assert np.allclose(loaded_traj["ob"]["b"]["d"][0], obs["b"]["d"][1]) assert np.allclose(loaded_traj["act"]["a"][0], action["a"][1]) assert np.allclose(loaded_traj["act"]["b"]["c"][0], action["b"]["c"][1]) assert np.allclose(loaded_traj["act"]["b"]["d"][0], action["b"]["d"][1]) if __name__ == "__main__": test_recorder() test_recorder_dict()

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null

0

1

0

null

0

4

b678b60fd8a5d71079031f0b1d14a4d3119ec8a7

151

py

Python

CursoIntensivoPython/curso-intensivo-python-master/capitulo_05/exercicios/alienigenas_2.py

SweydAbdul/estudos-python

b052708d0566a0afb9a1c04d035467d45f820879

[ "MIT" ]

null

CursoIntensivoPython/curso-intensivo-python-master/capitulo_05/exercicios/alienigenas_2.py

SweydAbdul/estudos-python

b052708d0566a0afb9a1c04d035467d45f820879

[ "MIT" ]

null

CursoIntensivoPython/curso-intensivo-python-master/capitulo_05/exercicios/alienigenas_2.py

SweydAbdul/estudos-python

b052708d0566a0afb9a1c04d035467d45f820879

[ "MIT" ]

null

cor_do_alien = 'vermelho' if cor_do_alien == 'verde': print('Você acabou de ganhar 5 pontos!') else: print('Você acabou de ganhar 10 pontos!')

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b6884ae96470f2b1a0ec81972360d7e48e6dba4f

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py

Python

byemail/__init__.py

jrmi/byemail

5d8ac2a0f9308aa9e3098948ba8a7a4598848539

[ "MIT" ]

10

2018-03-03T16:12:56.000Z

2021-01-18T10:52:45.000Z

byemail/__init__.py

jrmi/byemail

5d8ac2a0f9308aa9e3098948ba8a7a4598848539

[ "MIT" ]

69

2018-03-01T20:08:46.000Z

2019-05-05T18:53:30.000Z

byemail/__init__.py

jrmi/byemail

5d8ac2a0f9308aa9e3098948ba8a7a4598848539

[ "MIT" ]

3

2018-03-12T15:17:26.000Z

2020-04-17T14:19:47.000Z

__version__ = "0.0.1" __url__ = ""

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py

Python

results_pneumatic-actuator/results_dynamic_leakage.py

EvaZillen/3D-printed-pneumatic-actuator

6e0bcb4633bd53b2a8544cdbd497c4c06539afc7

[ "CC0-1.0" ]

1

2021-07-27T15:58:45.000Z

results_pneumatic-actuator/results_dynamic_leakage.py

EvaZillen/3D-printed-pneumatic-actuator

6e0bcb4633bd53b2a8544cdbd497c4c06539afc7

[ "CC0-1.0" ]

null

results_pneumatic-actuator/results_dynamic_leakage.py

EvaZillen/3D-printed-pneumatic-actuator

6e0bcb4633bd53b2a8544cdbd497c4c06539afc7

[ "CC0-1.0" ]

null

#!/usr/bin/env python # coding: utf-8 """ In this script, the results of the dynamic leakage tests are visualised. All visualisations are stored in /figures/ """ __author__ = "Eva Zillen" __copyright__ = "Copyright 2021, TU Delft Biomechanical Design" __credits__ = ["Eva Zillen, Heike Vallery, Gerwin Smit"] __license__ = "CC0-1.0 License" __version__ = "1.0.0" __maintainer__ = "Eva Zillen" __email__ = "e.zillen@student.tudelft.nl" # #### Imports import math import pandas as pd import matplotlib.pyplot as plt import numpy as np # #### Global variables # The models with different sealing mechanism used in this test rings = ['O-ring','NAPN','NAP310','PK','KDN','O-ring257','X-ring257'] # The models with different cross-sectional shape used in this test shapes = ['Circle','Stadium','Kidney', 'Stadium_lc', 'Kidney_lc'] # Remove first 15 data points to avoid deviating starting values drop_amount = 15 # # Dynamic leakage test # The position in the piston where the pressure is compared (in mm) alpha = { 'O-ring': 37.7, 'NAPN': 38, 'NAP310': 37.7, 'PK': 37.8, 'KDN': 37.7, 'O-ring257': 37.7, 'X-ring257': 37.7, 'Circle': 36.9, 'Stadium': 38.5, 'Kidney': 39.3, 'Stadium_lc': 38.5, 'Kidney_lc': 37.4, } # All the pressures are selected where the laser sensor provided the value alpha +/- 0.02 mm margin = 0.02 # Define a dictionary to store all data from the dynamic tests # For each ring all variables are stored in this nested dictionary dynamic_leakage = {} # For each model type for model in rings+shapes: # Load the data of the corresponding results in .CSV and drop unncessary columns model_df = pd.read_csv(f'./data/dynamic/{model}.csv',delimiter='\s+',header=None,names=(['Time','A','B','C','Laser(mm)','Pressure(bar)','Force(N)'])) model_df.drop(columns=['A','B','C'],index=model_df.index[range(drop_amount)],axis=1,inplace=True) # Selecting the data points around the chosen position with the chosen margin model_df = model_df[(model_df['Laser(mm)'] > (alpha[model]-margin)) & (model_df['Laser(mm)'] < (alpha[model]+margin))] # Store the data in our larger dictionary dynamic_leakage[model] = {} # Set the time (in s) dynamic_leakage[model]['Time'] = model_df['Time']/1000 dynamic_leakage[model]['Laser(mm)'] = model_df['Laser(mm)'] # Set the pressure (in MPa) dynamic_leakage[model]['Pressure(bar)'] = model_df['Pressure(bar)']/10 # #### Dynamic leakage plot 25mm # To smoothen out the lines a sampling [::4] and a rolling window of 10 are applied plt.plot(dynamic_leakage['O-ring257']['Time'][::4],dynamic_leakage['O-ring257']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:blue', alpha=0.25, linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['X-ring257']['Time'][::4],dynamic_leakage['X-ring257']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:brown', alpha=0.25, linestyle=(0,(5,2,2))) plt.plot(dynamic_leakage['O-ring']['Time'][::4],dynamic_leakage['O-ring']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:blue',label='O-ring', linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['NAPN']['Time'][::4],dynamic_leakage['NAPN']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:orange',label='NAPN',linestyle='dashdot') plt.plot(dynamic_leakage['NAP310']['Time'][::4],dynamic_leakage['NAP310']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:green',label='NAP 310', linestyle=(0,(5,2,2))) plt.plot(dynamic_leakage['PK']['Time'][::4],dynamic_leakage['PK']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:red',label='PK',linestyle='dashed') plt.plot(dynamic_leakage['KDN']['Time'][::4],dynamic_leakage['KDN']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:purple',label='KDN') # Set the labels and save the figure plt.xlabel('Time (s)') plt.ylabel('Pressure (MPa)') plt.legend() plt.savefig('./figures/result_dynamic_leakage_25mm.pdf',bbox_inches = 'tight') plt.clf() # #### Dynamic leakage plot 25.7mm # To smoothen out the lines a sampling [::4] and a rolling window of 10 are applied plt.plot(dynamic_leakage['O-ring']['Time'][::4],dynamic_leakage['O-ring']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:blue', alpha=0.25, linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['NAPN']['Time'][::4],dynamic_leakage['NAPN']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:orange',alpha=0.25,linestyle='dashdot') plt.plot(dynamic_leakage['NAP310']['Time'][::4],dynamic_leakage['NAP310']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:green',alpha=0.25, linestyle=(0,(5,2,2))) plt.plot(dynamic_leakage['PK']['Time'][::4],dynamic_leakage['PK']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:red',alpha=0.25,linestyle='dashed') plt.plot(dynamic_leakage['KDN']['Time'][::4],dynamic_leakage['KDN']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:purple',alpha=0.25) plt.plot(dynamic_leakage['O-ring257']['Time'][::4],dynamic_leakage['O-ring257']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:blue',label='O-ring', linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['X-ring257']['Time'][::4],dynamic_leakage['X-ring257']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:brown',label='X-ring', linestyle=(0,(5,2,2))) # Set the labels and save the figure plt.xlabel('Time (s)') plt.ylabel('Pressure (MPa)') plt.legend() plt.savefig('./figures/result_dynamic_leakage_257mm.pdf',bbox_inches = 'tight') plt.clf() # #### Dynamic leakage plot different shapes # To smoothen out the lines a rolling window of 10 are applied plt.plot(dynamic_leakage['Circle']['Time'],dynamic_leakage['Circle']['Pressure(bar)'].rolling(window=10).mean(),'0.8',label='Circle', linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['Stadium']['Time'],dynamic_leakage['Stadium']['Pressure(bar)'].rolling(window=10).mean(),'tab:olive',label='Stadium',linestyle='dashdot') plt.plot(dynamic_leakage['Kidney']['Time'],dynamic_leakage['Kidney']['Pressure(bar)'].rolling(window=10).mean(),'tab:cyan',label='Kidney') # Set the labels and save the figure plt.xlabel('Time (s)') plt.ylabel('Pressure (MPa)') plt.legend() plt.savefig('./figures/result_dynamic_leakage_shapes.pdf',bbox_inches = 'tight') plt.clf() # #### Dynamic leakage plot different shapes with lower clearance # To smoothen out the lines a rolling window of 10 are applied plt.plot(dynamic_leakage['Stadium']['Time'],dynamic_leakage['Stadium']['Pressure(bar)'].rolling(window=10).mean(),'tab:olive',alpha=0.5,label='Stadium 0.5 mm clearance',linestyle='dashdot') plt.plot(dynamic_leakage['Kidney']['Time'],dynamic_leakage['Kidney']['Pressure(bar)'].rolling(window=10).mean(),'tab:cyan',alpha=0.5,label='Kidney 0.5 mm clearance') plt.plot(dynamic_leakage['Circle']['Time'],dynamic_leakage['Circle']['Pressure(bar)'].rolling(window=10).mean(),'0.8', alpha=0.5 ,label='Circle 0.5 mm clearance', linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['Stadium_lc']['Time'],dynamic_leakage['Stadium_lc']['Pressure(bar)'].rolling(window=10).mean(),'tab:olive',label='Stadium 0.2 mm clearance',linestyle='dashdot', linewidth=2) plt.plot(dynamic_leakage['Kidney_lc']['Time'],dynamic_leakage['Kidney_lc']['Pressure(bar)'].rolling(window=10).mean(),'tab:cyan',label='Kidney 0.2 mm clearance', linewidth=2) # Set the labels and save the figure plt.xlabel('Time (s)') plt.ylabel('Pressure (MPa)') plt.legend(loc='lower center',bbox_to_anchor=(0.5,-0.42),ncol=2) plt.savefig('./figures/app_dynamic_leakage_shapes_lc.pdf',bbox_inches = 'tight') plt.clf() # # Repeatablilty # We performed two repeatability tests # - The test was rerun without any changes in the connections (rerun) # - The model was reconnected prior to taking the tests (reconnected) # ### Rerun # The position in the piston where the pressure is compared (in mm), different to initial setup # Each number stands for the specific repeated test alpha = { 1: 38.5, 2: 35.5, 3: 35.5 } # Store repeatability data in a dictionary dynamic_rerun = {} # Iterate all 3 repeated tests and add them to the dictionary for test in alpha.keys(): # Load the data of the corresponding results in .CSV and drop unncessary columns test_df = pd.read_csv(f'./data/repeatability/rerun/dynamic/{test}_O-ring257.csv',delimiter='\s+',header=None,names=(['Time','A','B','C','Laser(mm)','Pressure(bar)','Force(N)'])) test_df.drop(columns=['A','B','C'],index=test_df.index[range(drop_amount)],axis=1,inplace=True) # Selecting the data points around the chosen position with the chosen margin test_df = test_df[(test_df['Laser(mm)'] > (alpha[test]-margin)) & (test_df['Laser(mm)'] < (alpha[test]+margin))] # Store the data in the dictionary dynamic_rerun[test] = {} # Set the time (in s) dynamic_rerun[test]['Time'] = test_df['Time']/1000 dynamic_rerun[test]['Laser(mm)'] = test_df['Laser(mm)'] # Set the pressure (in MPa)dynamic_rerun[test] = {} dynamic_rerun[test]['Pressure(bar)'] = test_df['Pressure(bar)']/10 # To smoothen out the lines a sampling [::4] and a rolling window of 10 are applied plt.plot(dynamic_leakage['O-ring']['Time'][::4],dynamic_leakage['O-ring']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey', alpha=0.25, linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['NAPN']['Time'][::4],dynamic_leakage['NAPN']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25,linestyle='dashdot') plt.plot(dynamic_leakage['NAP310']['Time'][::4],dynamic_leakage['NAP310']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25, linestyle=(0,(5,2,2))) plt.plot(dynamic_leakage['PK']['Time'][::4],dynamic_leakage['PK']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25,linestyle='dashed') plt.plot(dynamic_leakage['KDN']['Time'][::4],dynamic_leakage['KDN']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25) plt.plot(dynamic_leakage['O-ring257']['Time'][::4],dynamic_leakage['O-ring257']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25, linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['X-ring257']['Time'][::4],dynamic_leakage['X-ring257']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25, linestyle=(0,(5,2,2))) plt.plot(dynamic_rerun[1]['Time'][::4],dynamic_rerun[1]['Pressure(bar)'].rolling(window=10).mean()[::4],'red',label='Test 1',linewidth=2) plt.plot(dynamic_rerun[2]['Time'][::4],dynamic_rerun[2]['Pressure(bar)'].rolling(window=10).mean()[::4],'firebrick',label='Test 2',linewidth=2) plt.plot(dynamic_rerun[3]['Time'][::4],dynamic_rerun[3]['Pressure(bar)'].rolling(window=10).mean()[::4],'darkred',label='Test 3',linewidth=2) # Set the labels and save the figure plt.xlabel('Time (s)') plt.ylabel('Pressure (MPa)') plt.legend() plt.savefig('./figures/app_dynamic_leakage_rerun.pdf',bbox_inches = 'tight') plt.clf() # ### Reconnected # The position in the piston where the pressure is compared (in mm), different to initial setup # Each number stands for the specific repeated test alpha = { 1: 37.7, 2: 35.5, 3: 38.5 } # Store repeatability data in a dictionary dynamic_reconnected = {} # Iterate all 3 repeated tests and add them to the dictionary for test in range(1,4): # Load the data of the corresponding results in .CSV and drop unncessary columns test_df = pd.read_csv(f'./data/repeatability/reconnected/dynamic/{test}_O-ring257.csv',delimiter='\s+',header=None,names=(['Time','A','B','C','Laser(mm)','Pressure(bar)','Force(N)'])) test_df.drop(columns=['A','B','C'],index=test_df.index[range(drop_amount)],axis=1,inplace=True) # Selecting the data points around the chosen position with the chosen margin test_df = test_df[(test_df['Laser(mm)'] > (alpha[test]-margin)) & (test_df['Laser(mm)'] < (alpha[test]+margin))] # Store the data in the dictionary dynamic_reconnected[test] = {} # Set the time (in s) dynamic_reconnected[test]['Time'] = test_df['Time']/1000 dynamic_reconnected[test]['Laser(mm)'] = test_df['Laser(mm)'] # Set the pressure (in MPa) dynamic_reconnected[test]['Pressure(bar)'] = test_df['Pressure(bar)']/10 # To smoothen out the lines a sampling [::4] and a rolling window of 10 are applied plt.plot(dynamic_leakage['O-ring']['Time'][::4],dynamic_leakage['O-ring']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey', alpha=0.25, linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['NAPN']['Time'][::4],dynamic_leakage['NAPN']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25,linestyle='dashdot') plt.plot(dynamic_leakage['NAP310']['Time'][::4],dynamic_leakage['NAP310']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25, linestyle=(0,(5,2,2))) plt.plot(dynamic_leakage['PK']['Time'][::4],dynamic_leakage['PK']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25,linestyle='dashed') plt.plot(dynamic_leakage['KDN']['Time'][::4],dynamic_leakage['KDN']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25) plt.plot(dynamic_leakage['O-ring257']['Time'][::4],dynamic_leakage['O-ring257']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25, linestyle='dotted',linewidth=3) plt.plot(dynamic_leakage['X-ring257']['Time'][::4],dynamic_leakage['X-ring257']['Pressure(bar)'].rolling(window=10).mean()[::4],'tab:grey',alpha=0.25, linestyle=(0,(5,2,2))) plt.plot(dynamic_reconnected[1]['Time'][::4],dynamic_reconnected[1]['Pressure(bar)'].rolling(window=10).mean()[::4],'skyblue',label='Test 1',linewidth=2) plt.plot(dynamic_reconnected[2]['Time'][::4],dynamic_reconnected[2]['Pressure(bar)'].rolling(window=10).mean()[::4],'cornflowerblue',label='Test 2',linewidth=2) plt.plot(dynamic_reconnected[3]['Time'][::4],dynamic_reconnected[3]['Pressure(bar)'].rolling(window=10).mean()[::4],'steelblue',label='Test 3',linewidth=2) # Set the labels and save the figure plt.xlabel('Time (s)') plt.ylabel('Pressure (MPa)') plt.legend() plt.savefig('./figures/app_dynamic_leakage_reconnected.pdf',bbox_inches = 'tight') plt.clf() print(f'\n ------ Succesfully saved all visualisations to /figures/ ------')

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Python

src/stokvel/admin.py

ConnorMac/stokvel.io

055c3493c8138edc8d2f98e5c928653e5f402307

[ "MIT" ]

null

src/stokvel/admin.py

ConnorMac/stokvel.io

055c3493c8138edc8d2f98e5c928653e5f402307

[ "MIT" ]

4

2017-06-26T10:54:01.000Z

2017-07-23T20:55:49.000Z

src/stokvel/admin.py

ConnorMac/stokvel.io

055c3493c8138edc8d2f98e5c928653e5f402307

[ "MIT" ]

null

from django.contrib import admin from stokvel.models import User, Stokvel, Event, Vote # Register your models here. admin.site.register(User) admin.site.register(Stokvel) admin.site.register(Event) admin.site.register(Vote)

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py

Python

modules/search.py

kamilsj/Syrah

3c5de50f5ef7178e44940bcea42e55ef8321084a

[ "MIT" ]

4

2016-10-05T15:17:21.000Z

2021-02-04T10:04:39.000Z

modules/search.py

kamilsj/syrah

3c5de50f5ef7178e44940bcea42e55ef8321084a

[ "MIT" ]

null

modules/search.py

kamilsj/syrah

3c5de50f5ef7178e44940bcea42e55ef8321084a

[ "MIT" ]

null

class search: def __init__(): pass def ParseSearch(request): tab = {} if request.len > 0: pass pass def search(request): pass

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b6af65dbbdcfb339e63c2f36ab564e8d764a1d3a

114

py

Python

MedIT_com/django_chatterbot/apps.py

PaolaDMadd/knock-knock-doctor-app

a58964620378d75591989298ed96a7c2f934f71e

[ "BSD-Source-Code" ]

null

MedIT_com/django_chatterbot/apps.py

PaolaDMadd/knock-knock-doctor-app

a58964620378d75591989298ed96a7c2f934f71e

[ "BSD-Source-Code" ]

2

2021-02-09T20:15:59.000Z

2021-02-09T20:16:10.000Z

MedIT_com/django_chatterbot/apps.py

PaolaDMadd/knok-knok-doctor-app

a58964620378d75591989298ed96a7c2f934f71e

[ "BSD-Source-Code" ]

1

2021-02-03T17:22:46.000Z

# from django.apps import AppConfig # class DjangoChatterbotConfig(AppConfig): # name = 'django_chatterbot'

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py

Python

etc/old/__main__.py

timm/bnbad2

942792b2850b39fd38c3612fcff4613b7d8ef0c7

[ "MIT" ]

1

2021-03-16T01:15:49.000Z

etc/old/__main__.py

timm/bnbad2

942792b2850b39fd38c3612fcff4613b7d8ef0c7

[ "MIT" ]

1

2021-01-20T15:09:35.000Z

etc/old/__main__.py

timm/bnbad2

942792b2850b39fd38c3612fcff4613b7d8ef0c7

[ "MIT" ]

null

# Non-parametric optimization. # Find interesting bits. Combine them. Repeat. # [home](http://menzies.us/bnbab2) :: [lib](http://menzies.us/bnbad2/lib.html) :: # [cols](http://menzies.us/bnbad2/tab.html) :: [tbl](http://menzies.us/bnbad2/grow.html) # <hr> # <a href="http://github.com/timm/bnbad2"><img src="https://github.com/timm/bnbad2/raw/main/etc/img/banner.png" align=left></a> # <a href="https://zenodo.org/badge/latestdoi/326061406"><img src="https://zenodo.org/badge/326061406.svg"></a> # <img src="https://img.shields.io/badge/language-python3,bash-blue"> # <a href="https://badge.fury.io/py/bnbad2"><img src="https://badge.fury.io/py/bnbad2.svg" alt="PyPI version" height="18"></a> # <img src="https://img.shields.io/badge/purpose-ai%20,%20se-blueviolet"> # <a href="https://travis-ci.com/timm/bnbad2"><img src="https://travis-ci.com/timm/bnbad2.svg?branch=main"></a> # <img src="https://img.shields.io/badge/license-mit-lightgrey"><hr> """ Optimizer, written as a data miner. Break the data up into regions of 'bad' and 'better'. 'Interesting' things occur at very different frequencies in 'bad' and 'better'. Find interesting bits. Combine them. Repeat. Nearly all this processing takes log linear time. :-------: | Ba | Bad <----. planning = max(better - bad) | 56 | | monitor = max(bad - better) :-------:------: | tabu = min(bad + better) | B | v active learning = find better == bad | 5 | Better :------: """ from .__init__ import * print(3) #if it.w: Eg.walk(it.w) #if it.T: Eg.runall() # elif it.t: Eg.run(it.t) # elif it.V: version()

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fcbb1d5d49103585ab961f52ce6905a86bf3f70c

8,891

py

Python

query/watdiv/query_graphs.py

mazlo/lodcc

dcc3403fe7785c9dc73f09154f397c0ff42f1920

[ "MIT" ]

2

2018-12-09T16:34:22.000Z

2021-02-18T23:45:29.000Z

query/watdiv/query_graphs.py

mazlo/lodcc

dcc3403fe7785c9dc73f09154f397c0ff42f1920

[ "MIT" ]

null

query/watdiv/query_graphs.py

mazlo/lodcc

dcc3403fe7785c9dc73f09154f397c0ff42f1920

[ "MIT" ]

1

2018-04-30T08:25:09.000Z

from graph_tool import Graph def query_graph_l1(): G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() G.add_edge(v0,v1) # e0 G.add_edge(v0,v2) # e1 G.add_edge(v2,v3) # e2 return G def query_graph_l2(): G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() G.add_edge(v2,v3) # e0, wsdbm:likes G.add_edge(v2,v1) # e1, sorg:nationality G.add_edge(v0,v1) # e2, gn:parentCountry, switched directions return G def query_graph_l3(): G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() G.add_edge(v0,v1) # e0, wsdbm:likes G.add_edge(v0,v2) # e1, wsdbm:subscribes return G def query_graph_l4(): G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() G.add_edge(v0,v1) # e0, og:tag G.add_edge(v0,v2) # e1, sorg:caption return G def query_graph_l5(): G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() G.add_edge(v0,v1) # e0, sorg:jobTitle G.add_edge(v0,v3) # e1, sorg:nationality G.add_edge(v2,v3) # e2, gn:parentCountry return G def query_graph_s1(): """query s1""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() v7=G.add_vertex() v8=G.add_vertex() v9=G.add_vertex() G.add_edge(v0,v1) # e0, gr:includes G.add_edge(v2,v0) # e1, gr:offers G.add_edge(v0,v3) # e2, gr:price G.add_edge(v0,v4) # e3, gr:serial_number G.add_edge(v0,v5) # e4, gr:validFrom G.add_edge(v0,v6) # e5, gr:validThrough G.add_edge(v0,v7) # e6, sorg:eligible_Region G.add_edge(v0,v8) # e7, sorg:eligible_Region G.add_edge(v0,v9) # e8, gr:priceValidUntil return G def query_graph_s2(): """query s2""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() G.add_edge(v0,v1) # e0, dc:Location G.add_edge(v0,v2) # e1, sorg:nationality G.add_edge(v0,v3) # e2, wsdbm:gender G.add_edge(v0,v4) # e3, rdf:type return G def query_graph_s3(): """query s3""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() G.add_edge(v0,v1) # e0, rdf:type G.add_edge(v0,v2) # e1, sorg:caption G.add_edge(v0,v3) # e2, wsdbm:hasGenre G.add_edge(v0,v4) # e3, sorg:publisher return G def query_graph_s4(): """query s4""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() G.add_edge(v0,v1) # e0, foaf:age G.add_edge(v0,v2) # e1, foaf:familyName G.add_edge(v3,v0) # e2, mo:artist G.add_edge(v0,v4) # e3, sorg:nationality return G def query_graph_s5(): """query s5""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() G.add_edge(v0,v1) # e0, dc:Location G.add_edge(v0,v2) # e1, sorg:nationality G.add_edge(v0,v3) # e2, wsdbm:gender G.add_edge(v0,v4) # e3, rdf:type return G def query_graph_s6(): """query s6""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() G.add_edge(v0,v1) # e0, mo:conductor G.add_edge(v0,v2) # e1, rdf:type G.add_edge(v0,v3) # e2, wsdbm:hasGenre return G def query_graph_s7(): """query s7""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() G.add_edge(v0,v1) # e0, rdf:type G.add_edge(v0,v2) # e1, sorg:text G.add_edge(v3,v0) # e2, wsdbm:likes return G def query_graph_f1(): """query f1""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() G.add_edge(v0,v1) # e0, og:tag G.add_edge(v0,v2) # e1, rdf:type G.add_edge(v3,v0) # e2, wsdbm:hasGenre G.add_edge(v3,v4) # e3, sorg:trailer G.add_edge(v3,v5) # e4, rdf:type G.add_edge(v3,v6) # e5, sorg:keywords return G def query_graph_f2(): """query f2""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() v7=G.add_vertex() v8=G.add_vertex() G.add_edge(v0,v1) # e0, foaf:homepage G.add_edge(v0,v2) # e1, og:title G.add_edge(v0,v3) # e2, rdf:type G.add_edge(v0,v4) # e3, sorg:caption G.add_edge(v0,v5) # e4, sorg:description G.add_edge(v1,v6) # e5, sorg:url G.add_edge(v1,v7) # e6, wsdbm:hits G.add_edge(v0,v8) # e7, wsdbm:hasGenre return G def query_graph_f3(): """query f3""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() G.add_edge(v0,v1) # e0, sorg:contentRating G.add_edge(v0,v2) # e1, sorg:contentSize G.add_edge(v0,v3) # e2, wsdbm:HasGenre G.add_edge(v5,v0) # e3, wsdbm:purchaseFor G.add_edge(v4,v5) # e4, wsdbm:makesPurchase G.add_edge(v5,v6) # e5, wsdbm:purchaseDate return G def query_graph_f4(): """query f4""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() v7=G.add_vertex() v8=G.add_vertex() v9=G.add_vertex() G.add_edge(v0,v1) # e0, foaf:homepage G.add_edge(v2,v0) # e1, gr:includes G.add_edge(v0,v3) # e2, og:title G.add_edge(v0,v4) # e3, sorg:description G.add_edge(v0,v8) # e4, sorg:contentSize G.add_edge(v1,v5) # e5, sorg:url G.add_edge(v1,v6) # e6, wsdbm:hits G.add_edge(v7,v1) # e7, wsdbm:likes G.add_edge(v1,v9) # e8, sorg:language return G def query_graph_f5(): """query f5""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() G.add_edge(v0,v1) # e0, gr:includes G.add_edge(v2,v0) # e1, gr:offers G.add_edge(v0,v3) # e2, gr:price G.add_edge(v0,v4) # e3, gr:validThrough G.add_edge(v1,v5) # e4, og:title G.add_edge(v1,v6) # e5, rdf:type return G def query_graph_c1(): """query c1""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() v7=G.add_vertex() v8=G.add_vertex() G.add_edge(v0,v1) # e0, sorg:caption G.add_edge(v0,v2) # e1, sorg:text G.add_edge(v0,v3) # e2, sorg:contentRating G.add_edge(v0,v4) # e3, rev:hasReview G.add_edge(v4,v5) # e4, rev:title G.add_edge(v4,v6) # e5, rev:reviewer G.add_edge(v7,v6) # e6, sorg:actor G.add_edge(v7,v8) # e7, sorg:language return G def query_graph_c2(): """query c2""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() v7=G.add_vertex() v8=G.add_vertex() v9=G.add_vertex() v10=G.add_vertex() G.add_edge(v0,v1) # e0, sorg:legalName G.add_edge(v0,v2) # e1, gr:offers G.add_edge(v2,v3) # e2, gr:includes G.add_edge(v2,v5) # e3, sorg:eligibleRegion G.add_edge(v3,v8) # e4, sorg:actor G.add_edge(v8,v9) # e5, rev:totalVotes G.add_edge(v7,v3) # e6, wsdbm:purchaseFor G.add_edge(v4,v7) # e7, wsdbm:makesPurchase G.add_edge(v4,v10) # e8, sorg:jobTitle G.add_edge(v4,v6) # e9, foaf:homepage return G def query_graph_c3(): """query c3""" G=Graph( directed=True ) v0=G.add_vertex() v1=G.add_vertex() v2=G.add_vertex() v3=G.add_vertex() v4=G.add_vertex() v5=G.add_vertex() v6=G.add_vertex() G.add_edge(v0,v1) # e0, wsdbm:likes G.add_edge(v0,v2) # e1, wsdbm:friendOf G.add_edge(v0,v3) # e2, dc:Location G.add_edge(v0,v4) # e3, foaf:age G.add_edge(v0,v5) # e4, wsdbm:gender G.add_edge(v0,v6) # e5, foaf:givenName return G

23.274869

65

0.592734

1,550

8,891

3.225806

0.073548

0.1808

0.246

0.134

0.873

0.764

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0.571

0.5636

0

0.069917

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8,891

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23.274869

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0

1

0

1

0

1

0

null

0

4

fcc167a1c7e5cf52080f436b9548da16b8c306eb

26

py

Python

data/studio21_generated/introductory/3415/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3415/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3415/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def build_palindrome(s):

13

24

0.769231

4

26

4.75

1

0

0.115385

26

2

25

13

0.826087

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

fcda9dca6516cb647f9206d8c859b9bdfe11bde9

302

py

Python

Bitmap Creator/NanometerPixelConverter.py

mdshane/semhelper

eeb177cb2fec22e53f46c24fbcfa1485cfa78005

[ "MIT" ]

1

2019-11-11T16:47:41.000Z

Bitmap Creator/NanometerPixelConverter.py

mdshane/semhelper

eeb177cb2fec22e53f46c24fbcfa1485cfa78005

[ "MIT" ]

null

Bitmap Creator/NanometerPixelConverter.py

mdshane/semhelper

eeb177cb2fec22e53f46c24fbcfa1485cfa78005

[ "MIT" ]

null

class NanometerPixelConverter: def __init__(self, pitch_nm: float): self._pitch_nm = pitch_nm def to_pixel(self, value_nm: float) -> int: return int(value_nm / self._pitch_nm) def to_nm(self, value_pixel: int) -> float: return value_pixel * self._pitch_nm

30.2

47

0.65894

42

302

4.309524

0.309524

0.19337

0.243094

0.132597

0

0.248344

302

10

48

30.2

0.797357

0

1

0.428571

false

0

0.285714

0.857143

0

null

0

1

0

null

0

1

0

1

0

4

fceb4d63190a0c8ed6d9bfd2e52a2864a4cfd3f7

288

py

Python

testplan/cli/commands/__init__.py

Morgan-Stanley/Testplan

9374d6e0da6ae9aa7a1b5e08b42cd21993485837

[ "Apache-2.0" ]

null

testplan/cli/commands/__init__.py

Morgan-Stanley/Testplan

9374d6e0da6ae9aa7a1b5e08b42cd21993485837

[ "Apache-2.0" ]

null

testplan/cli/commands/__init__.py

Morgan-Stanley/Testplan

9374d6e0da6ae9aa7a1b5e08b42cd21993485837

[ "Apache-2.0" ]

null

from .readers import single_reader_commands, multi_reader_commands from .writers import writer_commands from ..utils.command_list import CommandList reader_commands = CommandList( commands=[ *single_reader_commands.commands, *multi_reader_commands.commands, ] )

24

66

0.774306

32

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0.188679

0.254717

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0.163194

288

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false

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0.333333

0

null

1

0

null

0

1

0

4

fcef0f3f0b1359e838edb042fc51185791eb4506

38

py

Python

taggit/__init__.py

theatlantic/django-taggit2

66bc750544fb0c338fd0ac3a388cd90cc02bece1

[ "BSD-3-Clause" ]

null

taggit/__init__.py

theatlantic/django-taggit2

66bc750544fb0c338fd0ac3a388cd90cc02bece1

[ "BSD-3-Clause" ]

null

taggit/__init__.py

theatlantic/django-taggit2

66bc750544fb0c338fd0ac3a388cd90cc02bece1

[ "BSD-3-Clause" ]

null

__version__ = "{}.{}.{}".format(1,0,1)

38

0.526316

5

38

3.2

0.8

0

0.083333

0.052632

38

1

38

0.361111

0

0.205128

0

1

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false

0

1

0

null

0

1

0

1

0

null

0

4

1e1da164cdc4f950fbb6d922767c6c744714f925

1,423

bzl

Python

js/private/starlark_codegen_utils.bzl

stoiky/rules_js

e61b61b98c2f5c733bf804f78db9f55b1fb2d599

[ "Apache-2.0" ]

null

js/private/starlark_codegen_utils.bzl

stoiky/rules_js

e61b61b98c2f5c733bf804f78db9f55b1fb2d599

[ "Apache-2.0" ]

null

js/private/starlark_codegen_utils.bzl

stoiky/rules_js

e61b61b98c2f5c733bf804f78db9f55b1fb2d599

[ "Apache-2.0" ]

null

"Utilities for generating starlark source code" def _to_list_attr(list, indent_count = 0, indent_size = 4, quote_value = True): if not list: return "[]" tab = " " * indent_size indent = tab * indent_count result = "[" for v in list: val = "\"{}\"".format(v) if quote_value else v result += "\n%s%s%s," % (indent, tab, val) result += "\n%s]" % indent return result def _to_dict_attr(dict, indent_count = 0, indent_size = 4, quote_key = True, quote_value = True): if not len(dict): return "{}" tab = " " * indent_size indent = tab * indent_count result = "{" for k, v in dict.items(): key = "\"{}\"".format(k) if quote_key else k val = "\"{}\"".format(v) if quote_value else v result += "\n%s%s%s: %s," % (indent, tab, key, val) result += "\n%s}" % indent return result def _to_dict_list_attr(dict, indent_count = 0, indent_size = 4, quote_key = True): if not len(dict): return "{}" tab = " " * indent_size indent = tab * indent_count result = "{" for k, v in dict.items(): key = "\"{}\"".format(k) if quote_key else k result += "\n%s%s%s: %s," % (indent, tab, key, v) result += "\n%s}" % indent return result starlark_codegen_utils = struct( to_list_attr = _to_list_attr, to_dict_attr = _to_dict_attr, to_dict_list_attr = _to_dict_list_attr, )

31.622222

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0.578356

208

1,423

3.721154

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0.020672

0.062016

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0.851421

0.780362

0.70801

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0.625323

0

0.005753

0.267041

1,423

44

98

32.340909

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0

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false

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null

0

1

0

1

0

null

0

4

1e2082b4c7d7c1da079de478df4e6adabc4ec4e7

1,462

py

Python

day3.py

Allen-xmz/selenium_basic

7735497abf45834aec0a6c1e607fea1e010d43e4

[ "Apache-2.0" ]

null

day3.py

Allen-xmz/selenium_basic

7735497abf45834aec0a6c1e607fea1e010d43e4

[ "Apache-2.0" ]

null

day3.py

Allen-xmz/selenium_basic

7735497abf45834aec0a6c1e607fea1e010d43e4

[ "Apache-2.0" ]

null

# author:Allen # str = 'tyuioph' # range(10) #代表数值范围0-9 # for i in range(1,10,2): # print(i) # for i in range(len(str)): # print(str[i]) # lis = [1,2,3,4,5,6,7,8,9] #[1,4,9,16,25,36,49,64,81] # lis2 = [] # for i in lis: #等同于 lis2 = [i**2 for i in lis2] # i = i**2 # lis2.append(i) # print(lis2) # lis = [1,2,3,4,5,6,7,8,9] # lis1 = [] # lis2 = lis[::2] # for i in lis2: # i = i**2 # lis1.append(i) # print(lis1) # lis1 = [] # lis = [1,2,3,4,5,6,7,8,9] # for i in lis: #等同于lis1 =[a**2 for a in lis if a %2 !=0] # if i %2 != 0: # i =i**2 # lis1.append(i) # print(lis1) # list = [3**a for a in range(6)] # print(list) #乘法表 # for i in range(1,10): # for j in range(1,i+1): # #print(j,'*',i,'=',i*j,end='\t') # print('%d*%d=%d'%(j,i,j*i),end='\t') #格式化字符串 # print(end='\n') #格式化字符串 # print( '%d*%d=%d' % (j,i,i*j) ) # print('我叫%s,今年%d了'%('小明',28)) #字符串用%s,数字用%d，小数用%f # list =[6,3,4] # for i in list: # for j in list: # for k in list: # if i!=j and j!=k and i!=k: # print(i*100+j*10+i) # #求1加到100 的和 # a=1 # b=0 # while a <=100: # b =a+b # a+=1 # print(b) # a = 1 # b = 0 # sum = 0 # while sum<=1000: # sum = sum + a # a=2**a # b+=1 # print(b) # def name(): #定义函数时，括号里的是参数；调用函数时，括号里是具体的值 # return 0 #return返回的值是给调用者看的，print是给终端打印的 import request

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py

Python

rpc/__init__.py

MericD/Bitcoin-Transaction-Parser

c08c0efeb7b9ea8abea6905e5960d294abbdd6d1

[ "MIT" ]

null

rpc/__init__.py

MericD/Bitcoin-Transaction-Parser

c08c0efeb7b9ea8abea6905e5960d294abbdd6d1

[ "MIT" ]

1

2019-02-17T21:08:50.000Z

2019-02-17T21:19:06.000Z

rpc/__init__.py

MericD/Python-Bitcoin-Transaction-Parser

c08c0efeb7b9ea8abea6905e5960d294abbdd6d1

[ "MIT" ]

null

__all__ =["rpc"]

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1e64f2f795ba867e5ce20370fa7bc83b772d42cb

330

py

Python

adlmagics/adlmagics/presenters/text_presenter.py

Azure/Azure-Data-Service-Notebook

6bd28587c9fa0a7c1f9113f638b790b1773c5585

[ "MIT" ]

6

2018-06-06T08:37:53.000Z

2020-06-01T13:13:13.000Z

adlmagics/adlmagics/presenters/text_presenter.py

Azure/Azure-Data-Service-Notebook

6bd28587c9fa0a7c1f9113f638b790b1773c5585

[ "MIT" ]

30

2018-06-08T02:47:18.000Z

2018-07-25T07:07:07.000Z

adlmagics/adlmagics/presenters/text_presenter.py

Azure/Azure-Data-Service-Notebook

6bd28587c9fa0a7c1f9113f638b790b1773c5585

[ "MIT" ]

5

2018-06-06T08:37:55.000Z

2021-01-07T09:15:15.000Z

from sys import stdout from os import linesep from adlmagics.presenters.presenter_base import PresenterBase class TextPresenter(PresenterBase): def is_presentable(self, obj): return isinstance(obj, str) def present(self, obj): super(TextPresenter, self).present(obj) stdout.write(obj + linesep)

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null

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1eabe553543fb0487bd5639d79285f3b3027ee1f

676

py

Python

ffi/python/tests/test_default_record.py

Wave-View-Imaging/citi

82e99760489f02a9ad311b9bf178d0995e7926ea

[ "CNRI-Python" ]

null

ffi/python/tests/test_default_record.py

Wave-View-Imaging/citi

82e99760489f02a9ad311b9bf178d0995e7926ea

[ "CNRI-Python" ]

9

2021-05-12T15:30:00.000Z

2022-03-17T19:53:46.000Z

ffi/python/tests/test_default_record.py

Wave-View-Imaging/citi

82e99760489f02a9ad311b9bf178d0995e7926ea

[ "CNRI-Python" ]

null

import unittest from citi import Record class TestDefaultRecord(unittest.TestCase): def setUp(self): self.record = Record() def test_version(self): self.assertEqual(self.record.version, "A.01.00") def test_name(self): self.assertEqual(self.record.name, "") def test_comments(self): self.assertEqual(len(self.record.comments), 0) def test_devices(self): self.assertEqual(len(self.record.devices), 0) def test_independent_variable(self): self.assertEqual(self.record.independent_variable, ( "", "", [] )) def test_data(self): self.assertEqual(self.record.data, [])

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1ec6e72a4196cfc0a9ab1e7a5e2ecebd943b30f7

333

py

Python

tests/tools/linearizable/killcluster/generate_correct_out.py

mikesep/comdb2

b30daafa80221980416bd130dabbdb72de7c4fa0

[ "Apache-2.0" ]

1,133

2017-05-17T16:01:52.000Z

2022-03-24T04:18:25.000Z

tests/tools/linearizable/killcluster/generate_correct_out.py

mikesep/comdb2

b30daafa80221980416bd130dabbdb72de7c4fa0

[ "Apache-2.0" ]

1,843

2017-05-17T19:47:29.000Z

2022-03-31T20:51:54.000Z

tests/tools/linearizable/killcluster/generate_correct_out.py

mikesep/comdb2

b30daafa80221980416bd130dabbdb72de7c4fa0

[ "Apache-2.0" ]

195

2017-05-17T16:14:19.000Z

2022-03-30T18:24:42.000Z

#!/usr/bin/python print "[set hasql on] rc 0" print "[set transaction serializable] rc 0" print "[begin] rc 0" print "[insert into jepsen values(1,1)] rc 0" print "[insert into jepsen values(2,2)] rc 0" i=0 while ( i < 2000000 ) : print "(a=%d)" % i i=i+1 print "[select * from t1 order by a] rc 0" print "[commit] rc 0"

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1ecac0e7d78ee687c1bacf5cb1c561ad32c70ad4

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py

Python

robogym/envs/dactyl/tests/test_cube_manipulator.py

0xflotus/robogym

5ec2fcbda9828941fe3072792dd25fb5a915bbbb

[ "MIT" ]

288

2020-11-12T21:39:34.000Z

2022-03-19T23:27:50.000Z

robogym/envs/dactyl/tests/test_cube_manipulator.py

0xflotus/robogym

5ec2fcbda9828941fe3072792dd25fb5a915bbbb

[ "MIT" ]

3

2020-12-12T19:19:30.000Z

2022-03-24T05:21:39.000Z

robogym/envs/dactyl/tests/test_cube_manipulator.py

0xflotus/robogym

5ec2fcbda9828941fe3072792dd25fb5a915bbbb

[ "MIT" ]

31

2020-11-12T22:31:01.000Z

2022-02-28T20:34:48.000Z

import numpy as np import pycuber import robogym.utils.rotation as rotation from robogym.envs.dactyl.full_perpendicular import FullPerpendicularSimulation X_AXIS = 0 Y_AXIS = 1 Z_AXIS = 2 NEGATIVE_SIDE = 0 POSITIVE_SIDE = 1 def _full_side_idx(axis, side): # DRIVER ORDER IS: # -x, +x, -y, +y, -z, +z return axis * 2 + side def test_cube_manipulator_drivers(): """ Test CubeManipulator class if it manages to manipulates cubelets properly """ mujoco_simulation = FullPerpendicularSimulation.build(n_substeps=10) for axis in [X_AXIS, Y_AXIS, Z_AXIS]: for side in [NEGATIVE_SIDE, POSITIVE_SIDE]: # Reset simulation mujoco_simulation.set_qpos("cube_all_joints", 0.0) mujoco_simulation.cube_model.rotate_face(axis, side, np.pi / 2) target_angle = np.zeros(6, dtype=float) target_angle[_full_side_idx(axis, side)] = np.pi / 2 assert ( np.linalg.norm( mujoco_simulation.get_qpos("cube_drivers") - target_angle ) < 1e-6 ) def test_cube_manipulator_drivers_sequence(): """ Test CubeManipulator class if it manages to manipulate cubelets properly """ mujoco_simulation = FullPerpendicularSimulation.build(n_substeps=10) mujoco_simulation.cube_model.rotate_face(X_AXIS, POSITIVE_SIDE, np.pi / 2) mujoco_simulation.cube_model.rotate_face(Y_AXIS, POSITIVE_SIDE, np.pi / 2) mujoco_simulation.cube_model.rotate_face(Z_AXIS, POSITIVE_SIDE, np.pi / 2) mujoco_simulation.cube_model.rotate_face(Y_AXIS, POSITIVE_SIDE, np.pi / 2) mujoco_simulation.cube_model.rotate_face(X_AXIS, POSITIVE_SIDE, np.pi / 2) target_angle = np.array([0.0, np.pi, 0.0, np.pi, 0.0, np.pi / 2]) assert ( np.linalg.norm(mujoco_simulation.get_qpos("cube_drivers") - target_angle) < 1e-6 ) POSSIBLE_COORDS = [-1, 0, 1] def _assert_cubelet_coords(manipulator, original_coords, current_coords): """ Check if given cubelet is present at given coords""" indexes = original_coords.round().astype(int) + 1 coord_idx = indexes[0] * 9 + indexes[1] * 3 + indexes[2] meta_info = manipulator.cubelet_meta_info[coord_idx] assert np.linalg.norm(meta_info["coords"] - original_coords) < 1e-6 if meta_info["type"] == "cubelet": mtx = manipulator._cubelet_rotation_matrix(meta_info, manipulator.sim.data.qpos) actual_current_coords = mtx @ original_coords.astype(float) assert np.linalg.norm(actual_current_coords - current_coords) < 1e-6 def test_cube_manipulator_cubelet_positions(): """ Test CubeManipulator class if it manages to manipulates cubelets properly """ mujoco_simulation = FullPerpendicularSimulation.build(n_substeps=10) for x_coord in POSSIBLE_COORDS: for y_coord in POSSIBLE_COORDS: for z_coord in POSSIBLE_COORDS: coords = np.array([x_coord, y_coord, z_coord]) _assert_cubelet_coords(mujoco_simulation.cube_model, coords, coords) mujoco_simulation.cube_model.rotate_face(X_AXIS, POSITIVE_SIDE, np.pi / 2) # These are not touched for x_coord in [0, -1]: for y_coord in POSSIBLE_COORDS: for z_coord in POSSIBLE_COORDS: coords = np.array([x_coord, y_coord, z_coord]) _assert_cubelet_coords(mujoco_simulation.cube_model, coords, coords) # Let's check four corner cubelets just to be sure _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, 1, 1]), np.array([1, -1, 1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, -1, 1]), np.array([1, -1, -1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, -1, -1]), np.array([1, 1, -1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, 1, -1]), np.array([1, 1, 1]) ) mujoco_simulation.cube_model.rotate_face(Y_AXIS, POSITIVE_SIDE, np.pi / 2) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([-1, 1, -1]), np.array([-1, 1, 1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([-1, 1, 1]), np.array([1, 1, 1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, 1, -1]), np.array([1, 1, -1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, -1, -1]), np.array([-1, 1, -1]) ) def test_snap_rotate_face_with_threshold(): from robogym.envs.dactyl.full_perpendicular import FullPerpendicularSimulation mujoco_simulation = FullPerpendicularSimulation.build(n_substeps=10) mujoco_simulation.cube_model.snap_rotate_face_with_threshold( X_AXIS, POSITIVE_SIDE, np.pi / 2 ) # These are not touched for x_coord in [0, -1]: for y_coord in POSSIBLE_COORDS: for z_coord in POSSIBLE_COORDS: coords = np.array([x_coord, y_coord, z_coord]) _assert_cubelet_coords(mujoco_simulation.cube_model, coords, coords) # Let's check four corner cubelets just to be sure _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, 1, 1]), np.array([1, -1, 1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, -1, 1]), np.array([1, -1, -1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, -1, -1]), np.array([1, 1, -1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, 1, -1]), np.array([1, 1, 1]) ) # Rotate this face again by 45 degrees mujoco_simulation.cube_model.snap_rotate_face_with_threshold( X_AXIS, POSITIVE_SIDE, np.pi / 4 ) cubelets_before = mujoco_simulation.get_qpos("cube_cubelets").copy() # None of these should do anything mujoco_simulation.cube_model.snap_rotate_face_with_threshold( Y_AXIS, POSITIVE_SIDE, np.pi / 8 ) mujoco_simulation.cube_model.snap_rotate_face_with_threshold( Y_AXIS, NEGATIVE_SIDE, np.pi / 8 ) mujoco_simulation.cube_model.snap_rotate_face_with_threshold( Z_AXIS, POSITIVE_SIDE, np.pi / 8 ) mujoco_simulation.cube_model.snap_rotate_face_with_threshold( Z_AXIS, NEGATIVE_SIDE, np.pi / 8 ) cubelets_after = mujoco_simulation.get_qpos("cube_cubelets").copy() assert np.linalg.norm(cubelets_before - cubelets_after) < 1e-6 # Revert mujoco_simulation.cube_model.snap_rotate_face_with_threshold( X_AXIS, POSITIVE_SIDE, -np.pi / 4 ) # Move a little mujoco_simulation.cube_model.snap_rotate_face_with_threshold( X_AXIS, POSITIVE_SIDE, 0.05 ) # Make sure cube gets realigned mujoco_simulation.cube_model.snap_rotate_face_with_threshold( Y_AXIS, POSITIVE_SIDE, np.pi / 2 ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([-1, 1, -1]), np.array([-1, 1, 1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([-1, 1, 1]), np.array([1, 1, 1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, 1, -1]), np.array([1, 1, -1]) ) _assert_cubelet_coords( mujoco_simulation.cube_model, np.array([1, -1, -1]), np.array([-1, 1, -1]) ) cubelets_final = rotation.normalize_angles( mujoco_simulation.get_qpos("cube_cubelets").copy() ) assert ( np.linalg.norm( cubelets_final - rotation.round_to_straight_angles(cubelets_final) ) < 1e-8 ) def test_pycuber_conversion(): from robogym.envs.dactyl.full_perpendicular import FullPerpendicularSimulation mujoco_simulation = FullPerpendicularSimulation.build() for i in range(5): cube = pycuber.Cube() for action in np.random.choice(list("LRFBDU"), size=20, replace=True): cube(str(action)) mujoco_simulation.cube_model.from_pycuber(cube) cube2 = mujoco_simulation.cube_model.to_pycuber() assert cube == cube2

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948e88e23eaa5553fc728059de0106e830569862

192

py

Python

test/run_tests_not_in_package.py

abarker/pytest-helper

8580aee9bb95c3eceaac8273b46284d1862f8e6a

[ "MIT" ]

2

2019-12-09T07:09:39.000Z

2020-04-16T15:16:56.000Z

test/run_tests_not_in_package.py

abarker/pytest-helper

8580aee9bb95c3eceaac8273b46284d1862f8e6a

[ "MIT" ]

null

test/run_tests_not_in_package.py

abarker/pytest-helper

8580aee9bb95c3eceaac8273b46284d1862f8e6a

[ "MIT" ]

null

from __future__ import print_function, absolute_import, division if __name__ == "__main__": import pytest_helper pytest_helper.script_run("test_intro_example.py", pytest_args="-v")

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py

Python

z2/part3/updated_part2_batch/jm/parser_errors_2/753513507.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/753513507.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/753513507.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 753513507 """ """ random actions, total chaos """ board = gamma_new(4, 4, 2, 8) assert board is not None assert gamma_move(board, 1, 0, 2) == 1 assert gamma_move(board, 1, 2, 1) == 1 assert gamma_move(board, 2, 0, 0) == 1 assert gamma_move(board, 1, 3, 1) == 1 assert gamma_move(board, 1, 0, 3) == 1 assert gamma_move(board, 2, 0, 0) == 0 assert gamma_move(board, 1, 2, 3) == 1 assert gamma_move(board, 1, 1, 2) == 1 assert gamma_move(board, 2, 0, 1) == 1 assert gamma_move(board, 2, 3, 0) == 1 assert gamma_move(board, 1, 3, 0) == 0 assert gamma_move(board, 1, 1, 3) == 1 assert gamma_free_fields(board, 1) == 6 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 1, 1) == 1 board520860589 = gamma_board(board) assert board520860589 is not None assert board520860589 == ("111.\n" "11..\n" "2211\n" "2..2\n") del board520860589 board520860589 = None assert gamma_move(board, 1, 2, 3) == 0 assert gamma_move(board, 1, 3, 1) == 0 assert gamma_busy_fields(board, 1) == 7 assert gamma_move(board, 2, 2, 2) == 1 assert gamma_move(board, 2, 1, 2) == 0 assert gamma_move(board, 1, 3, 2) == 1 assert gamma_move(board, 1, 0, 2) == 0 assert gamma_move(board, 2, 0, 1) == 0 assert gamma_move(board, 1, 0, 2) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_move(board, 1, 0, 2) == 0 assert gamma_move(board, 2, 3, 3) == 1 assert gamma_move(board, 1, 0, 2) == 0 assert gamma_move(board, 1, 2, 3) == 0 assert gamma_busy_fields(board, 1) == 8 assert gamma_move(board, 2, 0, 1) == 0 assert gamma_move(board, 1, 3, 2) == 0 assert gamma_move(board, 1, 1, 0) == 1 assert gamma_move(board, 2, 0, 1) == 0 board859646833 = gamma_board(board) assert board859646833 is not None assert board859646833 == ("1112\n" "1121\n" "2211\n" "21.2\n") del board859646833 board859646833 = None assert gamma_move(board, 1, 0, 2) == 0 assert gamma_busy_fields(board, 1) == 9 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_move(board, 2, 1, 0) == 0 assert gamma_move(board, 1, 0, 2) == 0 assert gamma_move(board, 2, 3, 1) == 0 assert gamma_move(board, 2, 2, 1) == 0 assert gamma_busy_fields(board, 2) == 6 assert gamma_free_fields(board, 2) == 1 assert gamma_move(board, 1, 3, 1) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_move(board, 1, 0, 2) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_move(board, 1, 0, 2) == 0 assert gamma_move(board, 1, 0, 0) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_golden_move(board, 2, 2, 3) == 1 assert gamma_move(board, 1, 0, 0) == 0 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 2, 2) == 0 assert gamma_move(board, 2, 3, 2) == 0 gamma_delete(board)

29

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2,929

3.510397

0.083176

0.325794

0.371567

0.495423

0.726441

0.698438

0.692515

0.561659

0.399569

0

0.139925

0.185046

2,929

100

47

29.29

0.638039

0

0.309524

0

0.016895

0

0.714286

1

0

false

0

0.011905

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0.011905

0

null

1

0

null

0

1

0

4

94cb36f31f866656bfb7aec75d7cb68b94d31302

530

py

Python

api/serializers.py

mbassale/noteprg

31042224c396441ba6954de4ed5d0b4f3e1efa71

[ "MIT" ]

null

api/serializers.py

mbassale/noteprg

31042224c396441ba6954de4ed5d0b4f3e1efa71

[ "MIT" ]

4

2021-03-30T12:57:11.000Z

2021-06-10T18:45:28.000Z

api/serializers.py

mbassale/noteprg

31042224c396441ba6954de4ed5d0b4f3e1efa71

[ "MIT" ]

null

from django.contrib.auth.models import User, Group from rest_framework import serializers from notes.models import Note class UserSerializer(serializers.ModelSerializer): class Meta: model = User fields = ['id', 'username', 'email', 'groups'] class GroupSerializer(serializers.ModelSerializer): class Meta: model = Group fields = ['id', 'name'] class NoteSerializer(serializers.ModelSerializer): class Meta: model = Note fields = ['id', 'name', 'content', 'user']

24.090909

54

0.669811

55

530

6.436364

0.490909

0.220339

0.262712

0.29661

0.338983

0

0.218868

530

21

55

25.238095

0.855072

0

0.2

0

0.083019

0

1

0

false

0

0.2

0

0.6

0

null

1

0

null

0

1

0

4

a200d1af1bf3aa25cf92fb236dede1856a97675c

94

py

Python

3 - Python Web/Projeto Django/django-series-master/genero/admin.py

elton-souza/IGTI-Python

2633dd70af8403a6ab52f8f97ee53063dbb0ef77

[ "MIT" ]

null

3 - Python Web/Projeto Django/django-series-master/genero/admin.py

elton-souza/IGTI-Python

2633dd70af8403a6ab52f8f97ee53063dbb0ef77

[ "MIT" ]

null

3 - Python Web/Projeto Django/django-series-master/genero/admin.py

elton-souza/IGTI-Python

2633dd70af8403a6ab52f8f97ee53063dbb0ef77

[ "MIT" ]

null

from django.contrib import admin from genero.models import Genero admin.site.register(Genero)

23.5

32

0.840426

14

94

5.642857

0.642857

0

0.095745

94

3

33

31.333333

0.929412

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a210888b7f59a5a543e6b931e6f9895be5bb72b2

3,453

py

Python

llvm_analysis/MainAnalysisPasses/debug_switch.py

plummm/dr_checker_x

339d8cda6b2ad119b778d941d6e4730eeda2f197

[ "BSD-2-Clause" ]

12

2021-09-24T01:29:44.000Z

2022-03-04T17:32:57.000Z

llvm_analysis/MainAnalysisPasses/debug_switch.py

seclab-ucr/SUTURE

b970c35dfe79613bdd33526a99b73d9c814d733b

[ "BSD-2-Clause" ]

1

2021-12-08T15:28:22.000Z

2021-12-09T00:07:53.000Z

llvm_analysis/MainAnalysisPasses/debug_switch.py

plummm/dr_checker_x

339d8cda6b2ad119b778d941d6e4730eeda2f197

[ "BSD-2-Clause" ]

2

2021-12-20T10:09:53.000Z

2022-02-23T07:27:05.000Z

#!/usr/bin/python import sys,os import fileinput rl = [ ('SoundyAliasAnalysis/src/AliasAnalysisVisitor.cpp','#define DEBUG_GET_ELEMENT_PTR','//#define DEBUG_GET_ELEMENT_PTR'), ('SoundyAliasAnalysis/src/AliasAnalysisVisitor.cpp','#define DEBUG_STORE_INSTR','//#define DEBUG_STORE_INSTR'), ('SoundyAliasAnalysis/src/AliasAnalysisVisitor.cpp','#define DEBUG_CAST_INSTR','//#define DEBUG_CAST_INSTR'), ('SoundyAliasAnalysis/src/AliasAnalysisVisitor.cpp','#define DEBUG_UPDATE_POINTSTO','//#define DEBUG_UPDATE_POINTSTO'), ('SoundyAliasAnalysis/src/AliasAnalysisVisitor.cpp','#define DEBUG_HANDLE_INLINE_POINTER','//#define DEBUG_HANDLE_INLINE_POINTER'), ('SoundyAliasAnalysis/src/TaintUtils.cpp','#define DEBUG_ADD_NEW_TAINT_FLAG','//#define DEBUG_ADD_NEW_TAINT_FLAG'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_CREATE_DUMMY_OBJ_IF_NULL','//#define DEBUG_CREATE_DUMMY_OBJ_IF_NULL'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_FETCH_POINTS_TO_OBJECTS','//#define DEBUG_FETCH_POINTS_TO_OBJECTS'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_CHANGE_HEAPLOCATIONTYPE','//#define DEBUG_CHANGE_HEAPLOCATIONTYPE'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_UPDATE_FIELD_POINT','//#define DEBUG_UPDATE_FIELD_POINT'), ('SoundyAliasAnalysis/include/TaintInfo.h','#define DEBUG_UPDATE_FIELD_TAINT','//#define DEBUG_UPDATE_FIELD_TAINT'), ('SoundyAliasAnalysis/include/TaintInfo.h','#define DEBUG_FETCH_FIELD_TAINT','//#define DEBUG_FETCH_FIELD_TAINT'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_CREATE_EMB_OBJ','//#define DEBUG_CREATE_EMB_OBJ'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_CREATE_EMB_OBJ_CHAIN','//#define DEBUG_CREATE_EMB_OBJ_CHAIN'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_CREATE_HOST_OBJ','//#define DEBUG_CREATE_HOST_OBJ'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_CREATE_HOST_OBJ_CHAIN','//#define DEBUG_CREATE_HOST_OBJ_CHAIN'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_SPECIAL_FIELD_POINTTO','//#define DEBUG_SPECIAL_FIELD_POINTTO'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_SHARED_OBJ_CACHE','//#define DEBUG_SHARED_OBJ_CACHE'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_INFER_CONTAINER','//#define DEBUG_INFER_CONTAINER'), ('SoundyAliasAnalysis/include/AliasObject.h','#define DEBUG_OBJ_COPY','//#define DEBUG_OBJ_COPY'), ('Utils/include/InstructionUtils.h','#define TIMING','//#define TIMING'), ] #Turn on/off the debug switch defined in the src files. #sys.argv[1]: /path/to/MainAnalysisPasses-folder def debug_switch(m): io = 1 ir = 2 if sys.argv[2] != '0': #turn on, so we should search for the off state string io = 2 ir = 1 cr = 0 for r in rl: fp = sys.argv[1] + '/' + r[0] if not os.path.exists(fp): continue cr = cr + 1 for l in fileinput.input(fp, backup='.bak',inplace = True): if l.find(r[io]) >= 0: print r[ir] else: print l.rstrip() print 'Replaced: %d' % cr if __name__ == '__main__': if len(sys.argv) < 3: print 'Usage: ./debug_switch.py /path/to/MainAnalysisPasses 0|1' else: if sys.argv[2] == '0': debug_switch(0) else: debug_switch(1)

57.55

135

0.719085

423

3,453

5.55792

0.260047

0.187154

0.071459

0.19396

0.686091

0.531263

0.229264

0.134836

0.104636

0

0.006369

0.136114

3,453

59

136

58.525424

0.781763

0.049233

0

0.058824

0

0.695029

0.518146

0

null

0.019608

0.039216

null

0.078431

0

null

0

1

0

1

null

0

1

0

4

a21ca35b7e2a1d190841b13a603c67db916b9829

35

py

Python

excercise_book/task_3_4.py

bartekpacia/python-training

00a1047f70ab44cc5afed8619eb4eac0e406f3e3

[ "MIT" ]

null

excercise_book/task_3_4.py

bartekpacia/python-training

00a1047f70ab44cc5afed8619eb4eac0e406f3e3

[ "MIT" ]

null

excercise_book/task_3_4.py

bartekpacia/python-training

00a1047f70ab44cc5afed8619eb4eac0e406f3e3

[ "MIT" ]

null

for i in range(0, 21): print(i)

17.5

22

0.571429

8

35

2.5

0.875

0

0.115385

0.257143

35

2

23

17.5

0.653846

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

bf588f442e03df1682c795a03dbcacdb04228e98

623

py

Python

python/anyascii/_data/_29c.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_29c.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_29c.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

b='Chong Zhan Nheo Bian Weng Hong Pin Se Ni Fen Xu Shi Ju Jue Yu Guo Guo Hu Jing Li Xie Er Yuan Hai Jing Ke Zong Fei Peng Geng Jian Ni Xian Li Chao Er Geng Yu Hu Fei Ao Er Ke Ku Bo Ye Jiao Chao Geng Ru Yue Lin Yu Yue Zhai Xiao Mie Gui Jiu Tuo Xi Wei Zhuo Wei Kui Mei Hao Hang Fang Niu You Hua Lang Zhu Gui Bi Jia Tiao Troi Lu Kong Zui Ling Qi Zhu Jung Gu Zu Yang Su Kui Chang Yao Yu Shu Lai Yi Dou Ranh Wu Ying Fu Zhuan Fu Su Li Yao Tui Gui Lu Yan Qi Lang Zhu Gui Hu Jing Chi Troi Que Ju Zha Miao'

623

0.597111

124

623

3

0.725806

0.032258

0.053763

0

0.398074

623

1

623

0.992

0

1

0.991987

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

4

bf60d902397aea81aaf9647fa0f340becbdd6241

126

py

Python

hello.py

ehquin/cs3240-labdemo

4921d8b8625e9ffd422a0a34b428c3f216af6a77

[ "MIT" ]

null

hello.py

ehquin/cs3240-labdemo

4921d8b8625e9ffd422a0a34b428c3f216af6a77

[ "MIT" ]

null

hello.py

ehquin/cs3240-labdemo

4921d8b8625e9ffd422a0a34b428c3f216af6a77

[ "MIT" ]

null

from helper import greeting from newpython import grillz if __name__ == '__main__': greeting("hello") print(grillz())

21

28

0.722222

15

126

5.533333

0.733333

0

0.174603

126

6

29

21

0.798077

0

0.102362

0

1

0

true

0

0.4

0

0.4

0.2

1

0

null

0

1

0

null

0

1

0

1

0

4

bf9b00cf5950ccc15bcdc5b9ae4ed46403551028

117

py

Python

zifeiyu/admin.py

zifeiyusama/blog

8c87d93291e0a4193aefa83f1d732a46208cf23f

[ "MIT" ]

null

zifeiyu/admin.py

zifeiyusama/blog

8c87d93291e0a4193aefa83f1d732a46208cf23f

[ "MIT" ]

null

zifeiyu/admin.py

zifeiyusama/blog

8c87d93291e0a4193aefa83f1d732a46208cf23f

[ "MIT" ]

null

from django.contrib.admin import site site.site_header = 'ZIFEIYU' site.site_title = '子非鱼' site.index_title = '子非鱼'

19.5

37

0.760684

18

117

4.777778

0.611111

0.27907

0

0.119658

117

5

38

23.4

0.834951

0

0.111111

0

1

0

true

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

1

0

4

bfc229335b2ca762f2323f25aa7776e9b568511d

424

py

Python

pysit/_sphinx/from_astropy/ext/__init__.py

zfang-slim/pysit

8fca42b9749841abc302d1f8195a1437fad7ae4d

[ "BSD-3-Clause" ]

64

2015-09-08T06:23:27.000Z

2022-03-09T23:35:24.000Z

pysit/_sphinx/from_astropy/ext/__init__.py

zfang-slim/pysit

8fca42b9749841abc302d1f8195a1437fad7ae4d

[ "BSD-3-Clause" ]

23

2015-10-08T01:14:24.000Z

2021-07-15T11:37:05.000Z

pysit/_sphinx/from_astropy/ext/__init__.py

zfang-slim/pysit

8fca42b9749841abc302d1f8195a1437fad7ae4d

[ "BSD-3-Clause" ]

48

2015-06-25T14:48:22.000Z

2021-12-06T19:50:25.000Z

""" This package contains the sphinx extensions used by Astropy. The `automodsumm` and `automodapi` modules contain extensions used by Astropy to generate API documentation - see the docstrings for details. The `numpydoc` module is dervied from the documentation tools numpy and scipy use to parse docstrings in the numpy/scipy format, and are also used by Astropy. The other modules are dependencies for `numpydoc`. """

42.4

79

0.792453

62

424

5.419355

0.612903

0.053571

0.116071

0.136905

0

0.158019

424

9

80

47.111111

0.941176

0.978774

0

null

1

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

1

0

null

0

1

0

4

bfcabe2a4378367fb84394a19499320be062b771

2,806

py

Python

Projetos/lista 4 ex 2 ex 4.py

anderson-br-ti/python

d65d851f0934267dff9256dfdac09b100efb3b45

[ "MIT" ]

null

Projetos/lista 4 ex 2 ex 4.py

anderson-br-ti/python

d65d851f0934267dff9256dfdac09b100efb3b45

[ "MIT" ]

null

Projetos/lista 4 ex 2 ex 4.py

anderson-br-ti/python

d65d851f0934267dff9256dfdac09b100efb3b45

[ "MIT" ]

null

#Lista 4 Exercício 2 '''import random lista = [ ] for k in range (20): lista.append (random.randint (1, 100)) PAR = [ ] ÍMPAR = [ ] for n in lista: if n % 2 == 0: PAR.append (n) else: ÍMPAR.append(n) lista.sort() PAR.sort() ÍMPAR.sort() print (lista) print (PAR) print (ÍMPAR) #Lista 4 Exercício 5 #colocar 3 aspas no começo e final do texto txt = The Python Software Foundation and the global Python community welcome and encourage participation by everyone. Our community is based on mutual respect, tolerance, and encouragement, and we are working to help each other live up to these principles. We want our community to be more diverse: whoever you are, and whatever your background, we welcome you. import string txt = txt.lower() for c in string.punctuation: txt = txt.replace (c, ' ') txt = txt.split() def tem_uma_letra_python(palavra): for x in palavra: if x in 'python': return True return False #alinha com o for, só chego aqui se nenhuma #letra está em "python" lista = [ ] for p in txt: if tem_uma_letra_python(p) and len(p) > 4: lista.append(p) print (len (lista)) lista.sort() print (lista) ''' #Lista 5 Exercício E fones = '''213752 216732 221063 221545 225583 229133 230648 233222 236043 237330 239636 240138 242123 246224 249183 252936 254711 257200 257607 261424 263814 266794 268649 273050 275001 277606 278997 283331 287104 287953 289137 291591 292559 292946 295180 295566 297529 300400 304707 306931 310638 313595 318449 319021 322082 323796 326266 326880 327249 329914 334392 334575 336723 336734 338808 343269 346040 350113 353631 357154 361633 361891 364889 365746 365749 366426 369156 369444 369689 372896 374983 375223 379163 380712 385640 386777 388599 389450 390178 392943 394742 395921 398644 398832 401149 402219 405364 408088 412901 417683 422267 424767 426613 430474 433910 435054 440052 444630 447852 449116 453865 457631 461750 462985 463328 466458 469601 473108 476773 477956 481991 482422 486195 488359 489209 489388 491928 496569 496964 497901 500877 502386 502715 507617 512526 512827 513796 518232 521455 524277 528496 529345 531231 531766 535067 535183 536593 537360 539055 540582 543708 547492 550779 551595 556493 558807 559102 562050 564962 569677 570945 575447 579937 580112 580680 582458 583012 585395 586244 587393 590483 593112 593894 594293 597525 598184 600455 600953 601523 605761 608618 609198 610141 610536 612636 615233 618314 622752 626345 626632 628889 629457 629643 633673 637656 641136 644176 644973 647617 652218 657143 659902 662224 666265 668010 672480 672695 676868 677125 678315'''.split() def chato(fone): for d in range (10): #0, 1, 2, 3, 4, 5, 6, 7, 8, 9 if str (d) + str (d) in fone: #incompleto

35.518987

89

0.745902

422

2,806

4.945498

0.739336

0.008625

0.014375

0.016291

0

0.547035

0.200641

2,806

78

90

35.974359

0.383415

0.027085

0

0.927719

0

null

0

null

0

null

0

1

0

1

0

1

0

null

0

1

0

4

44fbd0e3a0e47709370d1891c4dba7005ac1865f

171

py

Python

mmdet/datasets/custom_dataset.py

SuzaKrish/mmdetection

31c16891d7493252262e738bcbf05326dba866b2

[ "Apache-2.0" ]

null

mmdet/datasets/custom_dataset.py

SuzaKrish/mmdetection

31c16891d7493252262e738bcbf05326dba866b2

[ "Apache-2.0" ]

null

mmdet/datasets/custom_dataset.py

SuzaKrish/mmdetection

31c16891d7493252262e738bcbf05326dba866b2

[ "Apache-2.0" ]

null

form .coco import CocoDataset from .registry import DATASETS from .xml_style import XMLDataset @DATASETS.register_module class MyDataset(XMLDataset): CLASSES = ('RBC')

21.375

33

0.80117

21

171

6.428571

0.761905

0

0.122807

171

7

34

24.428571

0.9

0

0.017544

0

null

0

0.5

null

0

1

0

null

0

1

0

null

0

1

0

1

0

4

780f95712b48d236e0026f4703ba6c6527cab249

145

py

Python

meross_iot/model/constants.py

dhocker/MerossIot

d4b7412602070a74429db2a563fdf325f666aa14

[ "MIT" ]

null

meross_iot/model/constants.py

dhocker/MerossIot

d4b7412602070a74429db2a563fdf325f666aa14

[ "MIT" ]

null

meross_iot/model/constants.py

dhocker/MerossIot

d4b7412602070a74429db2a563fdf325f666aa14

[ "MIT" ]

null

DEFAULT_MEROSS_HTTP_API = "https://iot.meross.com" DEFAULT_MQTT_HOST = "mqtt.meross.com" DEFAULT_MQTT_PORT = 443 DEFAULT_COMMAND_TIMEOUT = 10.0

24.166667

50

0.8

23

145

4.652174

0.652174

0.168224

0.299065

0.373832

0

0.045455

0.089655

145

5

51

29

0.765152

0

0.256944

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

7814c63dc4f1b1bcecbd0fef12cd7d7fcecd6e3a

89

py

Python

brokers/apps.py

rishikesh67/trycookiecutter

a5748ddbd0020970341b8ce2674fb84009f1f8cf

[ "MIT" ]

1

2021-06-02T04:50:43.000Z

brokers/apps.py

rishikesh67/trycookiecutter

a5748ddbd0020970341b8ce2674fb84009f1f8cf

[ "MIT" ]

4

2021-03-30T13:43:39.000Z

2021-09-22T19:16:10.000Z

brokers/apps.py

rishikesh67/trycookiecutter

a5748ddbd0020970341b8ce2674fb84009f1f8cf

[ "MIT" ]

null

from django.apps import AppConfig class BrokersConfig(AppConfig): name = 'brokers'

14.833333

33

0.752809

10

89

6.7

0.9

0

0.168539

89

5

34

17.8

0.905405

0

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0

1

0

false

0

0.333333

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1

0

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null

0

1

0

null

0

1

0

1

0

4

781a88931a0af0a22120ff487e00a0547cb7aa78

3,425

py

Python

fedjax/core/__init__.py

kho/fedjax

4b8b4ecf945fdfd6ad678ad88adaeabdbd960c60

[ "Apache-2.0" ]

null

fedjax/core/__init__.py

kho/fedjax

4b8b4ecf945fdfd6ad678ad88adaeabdbd960c60

[ "Apache-2.0" ]

1

2021-04-13T01:58:37.000Z

fedjax/core/__init__.py

kho/fedjax

4b8b4ecf945fdfd6ad678ad88adaeabdbd960c60

[ "Apache-2.0" ]

null

# Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """FedJAX core.""" # Test utilities. from fedjax.core import test_util # Client trainer. from fedjax.core.client_trainer import ClientTrainer from fedjax.core.client_trainer import ControlVariateTrainer from fedjax.core.client_trainer import ControlVariateTrainerState from fedjax.core.client_trainer import DefaultClientTrainer from fedjax.core.client_trainer import DefaultClientTrainerState from fedjax.core.client_trainer import train_multiple_clients from fedjax.core.client_trainer import train_single_client # Dataset utilities. from fedjax.core.dataset_util import ClientDataHParams from fedjax.core.dataset_util import create_tf_dataset_for_clients from fedjax.core.dataset_util import DatasetOrIterable from fedjax.core.dataset_util import preprocess_tf_dataset # Evaluation utilities from fedjax.core.evaluation_util import aggregate_metrics from fedjax.core.evaluation_util import evaluate_multiple_clients from fedjax.core.evaluation_util import evaluate_single_client # Federated algorithm. from fedjax.core.federated_algorithm import FederatedAlgorithm # Metrics. from fedjax.core.metrics import accuracy_fn from fedjax.core.metrics import CountMetric from fedjax.core.metrics import cross_entropy_loss_fn from fedjax.core.metrics import dataclass from fedjax.core.metrics import masked_accuracy_fn from fedjax.core.metrics import masked_accuracy_fn_with_logits_mask from fedjax.core.metrics import masked_count from fedjax.core.metrics import masked_cross_entropy_loss_fn from fedjax.core.metrics import MeanMetric from fedjax.core.metrics import Metric from fedjax.core.metrics import oov_rate from fedjax.core.metrics import sequence_length from fedjax.core.metrics import truncation_rate # JAX model. from fedjax.core.model import create_model_from_haiku from fedjax.core.model import create_model_from_stax from fedjax.core.model import Model # JAX optimizer. from fedjax.core.optimizer import get_optimizer from fedjax.core.optimizer import Optimizer from fedjax.core.optimizer import OptimizerName # Dataset prefetching. from fedjax.core.prefetch import PrefetchClientDatasetsIterator # Regularization from fedjax.core.regularizers import L2Regularizer from fedjax.core.regularizers import Regularizer # Serialization. from fedjax.core.serialization import load_state from fedjax.core.serialization import save_state # PyTree utilities. from fedjax.core.tree_util import tree_map from fedjax.core.tree_util import tree_mean from fedjax.core.tree_util import tree_multimap # Common type definitions. from fedjax.core.typing import Batch from fedjax.core.typing import FederatedData from fedjax.core.typing import MetricResults from fedjax.core.typing import OptState from fedjax.core.typing import Params from fedjax.core.typing import PRNGKey from fedjax.core.typing import PRNGSequence from fedjax.core.typing import Updates

42.283951

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0.849927

486

3,425

5.855967

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3,425

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null

0

1

0

1

0

1

0

4

782321b9f356138b76e51943cf87f692da6f76e3

1,090

py

Python

src/cp_request/design/replicate_block.py

aquariumbio/experiment-request

026e3eb767c47f980a35004e9ded5e4e33553693

[ "MIT" ]

null

src/cp_request/design/replicate_block.py

aquariumbio/experiment-request

026e3eb767c47f980a35004e9ded5e4e33553693

[ "MIT" ]

null

src/cp_request/design/replicate_block.py

aquariumbio/experiment-request

026e3eb767c47f980a35004e9ded5e4e33553693

[ "MIT" ]

null

from cp_request.design.block_definition import BlockDefinition from transform import RequestTransformer class ReplicateBlock(BlockDefinition): """ Represents a design block definition consisting of a sum of a given number of replicates of a block. """ def __init__(self, *, count: int, block: BlockDefinition): self.__count = count self.__block = block def __repr__(self): return "ReplicateBlock(count={}, block={})".format( self.__count, repr(self.__block)) # TODO: implement str method def __str__(self): pass def __eq__(self, other): if not isinstance(other, ReplicateBlock): return False return self.count == other.count and self.block == other.block def apply(self, visitor): visitor.visit_replicate_block(self) def transform(self, transformer: RequestTransformer): return transformer.transform_replicate_block(self) @property def count(self): return self.__count @property def block(self): return self.__block

26.585366

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0.66789

122

1,090

5.688525

0.377049

0.064842

0.060519

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0.246789

1,090

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27.25

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0.117431

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false

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null

0

null

0

1

0

1

0

1

0

4

784912c7802fdce6eb4e6788689d0b0cac1f7597

832

py

Python

web2py/applications/test_app/modules/plugin_appreport/report_web2py.py

eddgt/web2py

956c67754bbbdeaa5479f61d6a91ce0de87861e9

[ "BSD-3-Clause" ]

null

web2py/applications/test_app/modules/plugin_appreport/report_web2py.py

eddgt/web2py

956c67754bbbdeaa5479f61d6a91ce0de87861e9

[ "BSD-3-Clause" ]

null

web2py/applications/test_app/modules/plugin_appreport/report_web2py.py

eddgt/web2py

956c67754bbbdeaa5479f61d6a91ce0de87861e9

[ "BSD-3-Clause" ]

null

# coding: utf8 from gluon.html import * from gluon.http import * from gluon.validators import * from gluon.sqlhtml import * import utils_web2py from libs.appreport.report import ReportHtmlDb class ReportHtmlDbWeb2py(ReportHtmlDb): def __init__(self, table, **kargs): ReportHtmlDb.__init__(self, db = table._db, table = table, **kargs) def _get_args(self): return utils_web2py.UtilsWeb2py().prep_filter(vars = self.get('args', {}), table = self.get('table')) def get_html(self): #TODO: se records < 1 então exibir mensagem sem dados para exibir ? records = self.db(self._get_args()).select() return '<html><head><meta charset="%s" /></head>%s</html>'%(self.get('charset', 'utf-8'), BODY(H2(self.get('title', 'Report')),SQLTABLE(records, headers='fieldname:capitalize')))

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832

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false

0

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0.071429

0.857143

0

null

0

null

0

1

0

1

0

1

0

1

0

4

784f0a423262b806b216fb952e14aa2067042ccb

171

py

Python

login/views.py

django-africa/login

5e9c1d29e132d423acf77e29a98174f5a290b3a5

[ "MIT" ]

null

login/views.py

django-africa/login

5e9c1d29e132d423acf77e29a98174f5a290b3a5

[ "MIT" ]

null

login/views.py

django-africa/login

5e9c1d29e132d423acf77e29a98174f5a290b3a5

[ "MIT" ]

null

from django.shortcuts import render from django.views.generic import TemplateView # Create your views here. class HomeView(TemplateView): template_name = 'base.html'

24.428571

45

0.795322

22

171

6.136364

0.772727

0.148148

0

0.134503

171

6

46

28.5

0.912162

0.134503

0

0.061644

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1

0

false

0

0.5

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

78be9c6fa2490e9ad23814cfddb45bfff312c6d7

110

py

Python

svgrepodl/__main__.py

AllanCerveaux/svg_repo_dl

dcd98020b1543b0d978abac5e47b41d468468fc7

[ "MIT" ]

null

svgrepodl/__main__.py

AllanCerveaux/svg_repo_dl

dcd98020b1543b0d978abac5e47b41d468468fc7

[ "MIT" ]

null

svgrepodl/__main__.py

AllanCerveaux/svg_repo_dl

dcd98020b1543b0d978abac5e47b41d468468fc7

[ "MIT" ]

null

#!/usr/bin/python import sys from .commands import cli def main(): cli() if __name__ == '__main__': main()

12.222222

26

0.672727

16

110

4.125

0.75

0

0.163636

110

9

27

12.222222

0.717391

0.145455

0

0.085106

0

1

0.166667

true

0

0.333333

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

78cd06399f3d27458c91f1f51d5a7b700ee20fa6

164

py

Python

crop_engine/crop/source_selection/__init__.py

Lars-H/slurp

0c7c8a5ca62145bedaff5791d6f54337674da2ea

[ "MIT" ]

1

2021-06-29T07:59:50.000Z

crop_engine/crop/source_selection/__init__.py

Lars-H/slurp

0c7c8a5ca62145bedaff5791d6f54337674da2ea

[ "MIT" ]

null

crop_engine/crop/source_selection/__init__.py

Lars-H/slurp

0c7c8a5ca62145bedaff5791d6f54337674da2ea

[ "MIT" ]

null

from naive import NaiveSourceSelection from star_based import StarBasedSourceSelection from utils import AskSourceSelector, HybridSourceSelector, StatSourceSelector

54.666667

77

0.908537

15

164

9.866667

0.733333

0

0.079268

164

3

77

54.666667

0.980132

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

15339913599e5bb3ff765b9385ac259b45dc4b13

25

py

Python

pymanopt/_version.py

sz-123/pymanopt

1fbe5a8f8d51bf22af461e076d973fc98dfa835a

[ "BSD-3-Clause" ]

2

2021-11-08T08:03:56.000Z

2021-11-08T09:25:06.000Z

pymanopt/_version.py

GAO915311/pymanopt

405abc0d1b337d03897c4827f4499cc6fe91aae8

[ "BSD-3-Clause" ]

null

pymanopt/_version.py

GAO915311/pymanopt

405abc0d1b337d03897c4827f4499cc6fe91aae8

[ "BSD-3-Clause" ]

null

__version__ = "0.2.6rc1"

12.5

24

0.68

4

25

3.25

1

0

0.181818

0.12

25

1

25

0.409091

0

0.32

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

15764731c118ca1d820686f887110c895fbcb1db

119

py

Python

run.py

Nizebulous/lighthouse

e02af152fc8b3bdd2ce55e70eb0cfe7768547113

[ "MIT" ]

null

run.py

Nizebulous/lighthouse

e02af152fc8b3bdd2ce55e70eb0cfe7768547113

[ "MIT" ]

null

run.py

Nizebulous/lighthouse

e02af152fc8b3bdd2ce55e70eb0cfe7768547113

[ "MIT" ]

null

#!/usr/bin/env python from lighthouse import app if __name__ == '__main__': app.run(host='0.0.0.0', debug=True)

14.875

39

0.663866

20

119

3.55

0.8

0.084507

0

0.04

0.159664

119

7

40

17

0.67

0.168067

0

0.153061

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1590aea1bc97c0d4509ce62171e90a432baea5fd

223

py

Python

takeaway/settings/fastapi/controller.py

mnaile/startapp

ef50311b4883501c5e2aab175b585f24f9c133d0

[ "MIT" ]

7

2020-12-09T18:34:25.000Z

2022-03-16T06:49:16.000Z

takeaway/settings/fastapi/controller.py

mnaile/startapp

ef50311b4883501c5e2aab175b585f24f9c133d0

[ "MIT" ]

null

takeaway/settings/fastapi/controller.py

mnaile/startapp

ef50311b4883501c5e2aab175b585f24f9c133d0

[ "MIT" ]

1

2020-12-09T13:18:36.000Z

controller = ''' from fastapi import APIRouter, HTTPException,Cookie, Depends,Header,File, Body,Query from starlette.responses import JSONResponse from core.factories import settings import httpx router = APIRouter() '''

24.777778

84

0.798206

26

223

6.846154

0.769231

0

0.116592

223

9

85

24.777778

0.903553

0

0.910714

0.09375

0

1

0

false

0

0.571429

0

0.571429

0

1

0

null

0

1

0

1

0

null

0

1

0

4

ec5d1cb431a542802fec4174989c4edd02bc26e6

800

py

Python

asyncy/processing/mutations/StringMutations.py

zeebonk/platform-engine

c82feecad7a7e3786ed69e02bbeef712182a27ae

[ "Apache-2.0" ]

null

asyncy/processing/mutations/StringMutations.py

zeebonk/platform-engine

c82feecad7a7e3786ed69e02bbeef712182a27ae

[ "Apache-2.0" ]

null

asyncy/processing/mutations/StringMutations.py

zeebonk/platform-engine

c82feecad7a7e3786ed69e02bbeef712182a27ae

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- class StringMutations: @classmethod def _list_shift(cls, l, n): return l[n:] + l[:n] @classmethod def length(cls, mutation, value, story, line, operator, operand): return len(value) @classmethod def replace(cls, mutation, value, story, line, operator, operand): new_val = story.argument_by_name(mutation, 'with') return value.replace(operand, new_val) @classmethod def split(cls, mutation, value, story, line, operator, operand): return value.split(operand) @classmethod def uppercase(cls, mutation, value, story, line, operator, operand): return value.upper() @classmethod def lowercase(cls, mutation, value, story, line, operator, operand): return value.lower()

26.666667

72

0.64625

94

800

5.43617

0.351064

0.164384

0.156556

0.205479

0.46771

0.389432

0.299413

0

0.001634

0.235

800

29

73

27.586207

0.833333

0.02625

0

0.3

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0

1

0.3

false

0

0.25

0.65

0

null

0

1

0

null

0

1

0

1

0

4

ec778d7a3ab0fd99f30f894d98317b0a18ff5a74

1,860

py

Python

tests/unit_tests/test_nn/test_converters/test_onnx/test_Sub.py

samysweb/dnnv

58fb95b7300914d9da28eed86c39eca473b1aaef

[ "MIT" ]

5

2022-01-28T20:30:34.000Z

2022-03-17T09:26:52.000Z

tests/unit_tests/test_nn/test_converters/test_onnx/test_Sub.py

samysweb/dnnv

58fb95b7300914d9da28eed86c39eca473b1aaef

[ "MIT" ]

9

2022-01-27T03:50:28.000Z

2022-02-08T18:42:17.000Z

tests/unit_tests/test_nn/test_converters/test_onnx/test_Sub.py

samysweb/dnnv

58fb95b7300914d9da28eed86c39eca473b1aaef

[ "MIT" ]

2

2022-02-03T17:32:43.000Z

2022-03-24T16:38:49.000Z

import numpy as np import onnxruntime import pytest from dnnv.nn.converters.onnx import * from dnnv.nn.operations import * def test_Sub(): x = np.array([1, 2, 3]).astype(np.float32) y = np.array([3, 2, 1]).astype(np.float32) z = x - y op = Sub(x, y) onnx_model = convert(OperationGraph([op])) results = onnxruntime.backend.run(onnx_model, []) assert len(results) == 1 result = results[0] assert np.allclose(result, z) op = Sub(Input((3,), np.dtype(np.float32)), Input((3,), np.dtype(np.float32))) onnx_model = convert(OperationGraph([op])) results = onnxruntime.backend.run(onnx_model, [x, y]) assert len(results) == 1 result = results[0] assert np.allclose(result, z) # TODO : need onnx opset version at least 14 for uint8 @pytest.mark.xfail def test_Sub_rand(): x = np.random.randn(3, 4, 5).astype(np.float32) y = np.random.randn(3, 4, 5).astype(np.float32) z = x - y op = Sub(x, y) onnx_model = convert(OperationGraph([op])) results = onnxruntime.backend.run(onnx_model, []) assert len(results) == 1 result = results[0] assert np.allclose(result, z) x = np.random.randint(12, 24, size=(3, 4, 5), dtype=np.uint8) y = np.random.randint(12, size=(3, 4, 5), dtype=np.uint8) z = x - y op = Sub(x, y) onnx_model = convert(OperationGraph([op])) results = onnxruntime.backend.run(onnx_model, []) assert len(results) == 1 result = results[0] assert np.allclose(result, z) def test_Sub_broadcast(): x = np.random.randn(3, 4, 5).astype(np.float32) y = np.random.randn(5).astype(np.float32) z = x - y op = Sub(x, y) onnx_model = convert(OperationGraph([op])) results = onnxruntime.backend.run(onnx_model, []) assert len(results) == 1 result = results[0] assert np.allclose(result, z)

26.571429

82

0.631183

283

1,860

4.095406

0.208481

0.077653

0.129422

0.77308

0.75755

0.719586

0.686799

0.685073

0

0.041525

0.210215

1,860

69

83

26.956522

0.747447

0.027957

0

0.666667

0

0.014493

0.196078

1

0.058824

false

0

0.098039

0

0.156863

0

null

0

1

0

1

0

null

0

1

0

4

ec90ea8dc82c1192aa8a5c3fe476f41eae8821bc

2,053

py

Python

tests/test_livecoin_api.py

altcointradingbot/trading

7e77f67730ace9520bf5e5ff27c3c80d81ac983a

[ "MIT" ]

null

tests/test_livecoin_api.py

altcointradingbot/trading

7e77f67730ace9520bf5e5ff27c3c80d81ac983a

[ "MIT" ]

1

2017-12-21T10:12:33.000Z

tests/test_livecoin_api.py

altcointradingbot/trading

7e77f67730ace9520bf5e5ff27c3c80d81ac983a

[ "MIT" ]

null

import unittest from tradingbot.exchangers_api.livecoin_api import get_exchange_ticker from tradingbot.exchangers_api.livecoin_api import get_exchange_last_trades from tradingbot.exchangers_api.livecoin_api import get_exchange_order_book from tradingbot.exchangers_api.livecoin_api import get_exchange_maxbid_minask from tradingbot.exchangers_api.livecoin_api import get_exchange_restrictions from tradingbot.exchangers_api.livecoin_api import get_info_coin_info from tradingbot.exchangers_api.livecoin_api import get_exchange_trades from tradingbot.exchangers_api.livecoin_api import get_exchange_client_orders from tradingbot.exchangers_api.livecoin_api import get_payment_balances from tradingbot.exchangers_api.livecoin_api import get_payment_balance from tradingbot.exchangers_api.livecoin_api import get_exchange_commission class TestLivecoinApi(unittest.TestCase): def test_get_exchange_ticker(self): self.assertGreater(len(get_exchange_ticker()), 0) def test_get_exchange_last_trades(self): self.assertGreater(len(get_exchange_last_trades("BTC/USD")), 0) def test_get_exchange_order_book(self): self.assertGreater(len(get_exchange_order_book("BTC/USD")), 0) def test_get_exchange_maxbid_minask(self): self.assertGreater(len(get_exchange_maxbid_minask()), 0) def test_get_exchange_restrictions(self): self.assertGreater(len(get_exchange_restrictions()), 0) def test_get_info_coin_info(self): self.assertGreater(len(get_info_coin_info()), 0) def test_get_exchange_trades(self): self.assertGreater(len(get_exchange_trades()), 0) def test_get_exchange_client_orders(self): self.assertGreater(len(get_exchange_client_orders()), 0) def test_get_payment_balances(self): self.assertGreater(len(get_payment_balances()), 0) def test_get_payment_balance(self): self.assertGreater(len(get_payment_balance("BTC")), 0) def test_get_exchange_commission(self): self.assertGreater(len(get_exchange_commission()), 0)

41.06

77

0.808573

279

2,053

5.541219

0.129032

0.170763

0.192109

0.760026

0.657827

0.478008

0.392626

0.362225

0.078913

0

0.006061

0.115928

2,053

49

78

41.897959

0.84573

0

0.008281

0

0.314286

1

0.314286

false

0

0.342857

0

0.685714

0

null

0

1

0

null

0

1

0

1

0

1

0

4

ecba60785adcdf276f713997fd5260d702d7bda7

106

py

Python

tests/test_settings/dummy_registry.py

costas-basdekis/aox

63a90fb722f29d9b2d26041f9035f99b6b21615e

[ "MIT" ]

2

2021-11-10T22:38:49.000Z

2021-12-03T08:09:01.000Z

tests/test_settings/dummy_registry.py

costas-basdekis/aox

63a90fb722f29d9b2d26041f9035f99b6b21615e

[ "MIT" ]

null

tests/test_settings/dummy_registry.py

costas-basdekis/aox

63a90fb722f29d9b2d26041f9035f99b6b21615e

[ "MIT" ]

null

dummy_registry = {} def dummy_register(name, value): dummy_registry[name] = value return value

13.25

32

0.698113

13

106

5.461538

0.538462

0.366197

0

0.207547

106

7

33

15.142857

0.845238

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

01ca5e3445524e2b500d3e02bccff52437bd6b02

392

py

Python

Devices/Suspicious_Device.py

d-crompton/final-project-product

991c76abd37cfecf61096010f41f87a1de922acc

[ "MIT" ]

null

Devices/Suspicious_Device.py

d-crompton/final-project-product

991c76abd37cfecf61096010f41f87a1de922acc

[ "MIT" ]

null

Devices/Suspicious_Device.py

d-crompton/final-project-product

991c76abd37cfecf61096010f41f87a1de922acc

[ "MIT" ]

null

# Suspicious Devices - Child of Device from Devices import Device class SuspiciousDevice(Device.Device): # Constructor def __init__(self, last_ip, mac, manufacturer, os, dev_type): super().__init__(last_ip, mac, manufacturer, os, dev_type) self.category = "suspicious" # Additional Function def get_category(self): return self.category

28

67

0.678571

45

392

5.622222

0.577778

0.047431

0.071146

0.166008

0.237154

0

0.237245

392

13

68

30.153846

0.846154

0.173469

0

0.032573

0

1

0.285714

false

0

0.142857

0.714286

0

null

0

1

0

null

0

1

0

1

0

4

01d39524b47f2479c4b9fa522abe15f01be99d03

1,535

py

Python

src/training/Core2/Chapter5Numbers/TestExercise5_3.py

MagicForest/Python

8af56e9384061504f05b229467c922ba71a433cb

[ "Apache-2.0" ]

null

src/training/Core2/Chapter5Numbers/TestExercise5_3.py

MagicForest/Python

8af56e9384061504f05b229467c922ba71a433cb

[ "Apache-2.0" ]

null

src/training/Core2/Chapter5Numbers/TestExercise5_3.py

MagicForest/Python

8af56e9384061504f05b229467c922ba71a433cb

[ "Apache-2.0" ]

null

import unittest import Exercise5_3 class TestExercise5_3(unittest.TestCase): def test_get_score_level_A(self): self.assertEquals('A', Exercise5_3.get_score_level(90)) self.assertEquals('A', Exercise5_3.get_score_level(95)) self.assertEquals('A', Exercise5_3.get_score_level(100)) def test_get_score_level_B(self): self.assertEquals('B', Exercise5_3.get_score_level(80)) self.assertEquals('B', Exercise5_3.get_score_level(85)) self.assertEquals('B', Exercise5_3.get_score_level(89)) def test_get_score_level_C(self): self.assertEquals('C', Exercise5_3.get_score_level(70)) self.assertEquals('C', Exercise5_3.get_score_level(75)) self.assertEquals('C', Exercise5_3.get_score_level(79)) def test_get_score_level_D(self): self.assertEquals('D', Exercise5_3.get_score_level(60)) self.assertEquals('D', Exercise5_3.get_score_level(65)) self.assertEquals('D', Exercise5_3.get_score_level(69)) def test_get_score_level_F(self): self.assertEquals('F', Exercise5_3.get_score_level(0)) self.assertEquals('F', Exercise5_3.get_score_level(50)) self.assertEquals('F', Exercise5_3.get_score_level(59)) def test_get_score_level_raise_error(self): try: Exercise5_3.get_score_level(102) self.assertTrue(True) except ValueError , value_error: self.assertFalse(False) if __name__ == '__main__': unittest.main()

39.358974

65

0.685993

210

1,535

4.614286

0.228571

0.181631

0.29515

0.297214

0.76677

0.619195

0

0.056098

0.198697

1,535

39

66

39.358974

0.731707

0

0.015354

0

0.548387

0

null

0

0.064516

null

0

null

0

1

0

null

0

1

0

4

01fa9b6152c8622050a1db03240eacbf9cfbe608

51

py

Python

testData/refactor/renameUnResolve_after.py

alek-sun/pydantic-pycharm-plugin

6b07519aadf0ff8b8a644c1f9ede88e09c687c80

[ "Apache-2.0", "MIT" ]

238

2019-08-05T12:46:09.000Z

2022-03-25T08:53:25.000Z

testData/refactor/renameUnResolve_after.py

alek-sun/pydantic-pycharm-plugin

6b07519aadf0ff8b8a644c1f9ede88e09c687c80

[ "Apache-2.0", "MIT" ]

415

2019-07-15T17:39:35.000Z

2022-03-31T01:18:38.000Z

testData/refactor/renameUnResolve_after.py

collerek/pydantic-pycharm-plugin

7068ece42334cc9fbe927d779d199c86d5139888

[ "Apache-2.0", "MIT" ]

7

2019-08-09T01:03:16.000Z

2022-02-08T03:28:19.000Z

from pydantic import BaseModel A(abc=int(123))

7.285714

30

0.72549

8

51

4.625

1

0

0.071429

0.176471

51

6

31

8.5

0.809524

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

bf0ff640628ed0be4651e66de28e1b9a57213eea

103

py

Python

Python/Fatec/exercico 3.py

marcelosilva7/Primeiro-repositorio

2550c86d07101bed84e0d110599a9492b1069263

[ "MIT" ]

null

Python/Fatec/exercico 3.py

marcelosilva7/Primeiro-repositorio

2550c86d07101bed84e0d110599a9492b1069263

[ "MIT" ]

null

Python/Fatec/exercico 3.py

marcelosilva7/Primeiro-repositorio

2550c86d07101bed84e0d110599a9492b1069263

[ "MIT" ]

null

n = (input('Digite um numero para ser inventido! ')) print(f'o numero {n} invertido é {(n[::-1])}')

34.333333

54

0.601942

17

103

3.647059

0.823529

0

0.011765

0.174757

103

2

55

51.5

0.717647

0

0.732673

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

4

bf2fa6fd30fc644b16842f5ca453ebd9f8eb1279

317

py

Python

app/api/authentication.py

amikoj/web

3df8612a923d71dcc1a962daec9609347df54fd1

[ "Apache-2.0" ]

null

app/api/authentication.py

amikoj/web

3df8612a923d71dcc1a962daec9609347df54fd1

[ "Apache-2.0" ]

null

app/api/authentication.py

amikoj/web

3df8612a923d71dcc1a962daec9609347df54fd1

[ "Apache-2.0" ]

null

# !/usr/bin/env python # -*-coding:utf-8-*- from flask_httpauth import HTTPBasicAuth from .errors import unauthorized,forbidden auth = HTTPBasicAuth() @auth.verify_password def verify_password(email,password): return True @auth.error_handler def auth_error(): return unauthorized('Invalid credentials')

17.611111

46

0.763407

39

317

6.076923

0.666667

0.118143

0

0.003623

0.129338

317

17

47

18.647059

0.855072

0.123028

0

0.069091

0

1

0.222222

false

0.222222

0.666667

0

null

0

null

0

1

0

1

0

1

0

4

174926e9b58765fa9dc7f7f004a07e021d877997

1,033

py

Python

dcgoss/__init__.py

shelbyallenfranks/dcgoss

e0a8200880f8150f78013bd92dfd2e088725e240

[ "Apache-2.0" ]

null

dcgoss/__init__.py

shelbyallenfranks/dcgoss

e0a8200880f8150f78013bd92dfd2e088725e240

[ "Apache-2.0" ]

null

dcgoss/__init__.py

shelbyallenfranks/dcgoss

e0a8200880f8150f78013bd92dfd2e088725e240

[ "Apache-2.0" ]

null

# Copyright 2020 Shelby Allen-Franks # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from .dcgoss import DCGoss from .docker import Docker from .docker_compose import DockerCompose __version__ = '0.1.4' def run(path, service, retry_timeout=300, retry_interval=0.2): return DCGoss(path, Docker(), DockerCompose(path), retry_timeout, retry_interval).run(service) def edit(path, service, retry_timeout=300, retry_interval=0.2): return DCGoss(path, Docker(), DockerCompose(path), retry_timeout, retry_interval).edit(service)

36.892857

99

0.767667

154

1,033

5.064935

0.532468

0.076923

0.033333

0.041026

0.269231

0

0.023783

0.145208

1,033

27

100

38.259259

0.85957

0.538238

0

0.010799

0

1

0.25

false

0

0.375

0.25

0.875

0

null

0

null

0

1

0

1

0

4

17540329b05254c387da0235cf8bbf0100d84ca7

97

py

Python

bambu_comments/apps.py

iamsteadman/bambu-comments

55af6c1ac78c821cc9a547b4be3e8681fd281042

[ "Apache-2.0" ]

1

2019-05-26T16:27:31.000Z

bambu_comments/apps.py

iamsteadman/bambu-comments

55af6c1ac78c821cc9a547b4be3e8681fd281042

[ "Apache-2.0" ]

null

bambu_comments/apps.py

iamsteadman/bambu-comments

55af6c1ac78c821cc9a547b4be3e8681fd281042

[ "Apache-2.0" ]

null

from django.apps import AppConfig class CommentsConfig(AppConfig): verbose_name = 'Comments'

24.25

33

0.793814

11

97

6.909091

0.909091

0

0.134021

97

4

34

24.25

0.904762

0

0.081633

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

175c59c69f0c86654493655476c2ce7c3d1fdcab

367

py

Python

aitools/Modeling.py

werner-denzin/go.ai

c2bc1fa30b71f9879fc17b5fe7e37e67dc74850b

[ "MIT" ]

1

2021-01-06T21:42:22.000Z

aitools/Modeling.py

werner-denzin/go.ai

c2bc1fa30b71f9879fc17b5fe7e37e67dc74850b

[ "MIT" ]

null

aitools/Modeling.py

werner-denzin/go.ai

c2bc1fa30b71f9879fc17b5fe7e37e67dc74850b

[ "MIT" ]

null

from .Toolbox import Tool class Train(Tool): def __init__(self): Tool.__init__(self) print('Train is ready!') class Validate(Tool): def __init__(self): Tool.__init__(self) print('Validate is ready!') class Evaluate(Tool): def __init__(self): Tool.__init__(self) print('Evaluate is ready!')

19.315789

35

0.59673

43

367

4.534884

0.325581

0.246154

0.169231

0.230769

0.492308

0

0.286104

367

19

36

19.315789

0.744275

0

0.461538

0

0.138587

0

1

0.230769

false

0

0.076923

0

0.538462

0.230769

0

null

1

0

1

0

null

0

1

0

1

0

4

176096c428ba039821b059d1cfae575a17e5a482

205

py

Python

src/controller/activity.py

dkletz-hackathon/bncc-sano-api

0281962dcd6a8e4b9c1b97372964e98b59748a61

[ "MIT" ]

null

src/controller/activity.py

dkletz-hackathon/bncc-sano-api

0281962dcd6a8e4b9c1b97372964e98b59748a61

[ "MIT" ]

null

src/controller/activity.py

dkletz-hackathon/bncc-sano-api

0281962dcd6a8e4b9c1b97372964e98b59748a61

[ "MIT" ]

null

from src.model import Activity from src.exception import * from core.util import * def get_all_activities(): query = Activity.select().dicts() return respond_data([activity for activity in query])

29.285714

57

0.756098

29

205

5.241379

0.689655

0.092105

0

0.15122

205

7

57

29.285714

0.873563

0

1

0.166667

false

0

0.5

0

0.833333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1775e81cab4bcc122ed0ec6cf82fd29bb96f9dda

238

py

Python

rules_default/castervoice/lib/ctrl/mgr/errors/guidance_rejection.py

MLH-Fellowship/LarynxCode

840fee18c689a357052825607c27fc8e3e56571c

[ "MIT" ]

1

2021-09-17T06:11:02.000Z

rules_default/castervoice/lib/ctrl/mgr/errors/guidance_rejection.py

soma2000-lang/LarynxCode

840fee18c689a357052825607c27fc8e3e56571c

[ "MIT" ]

5

2021-02-03T05:29:41.000Z

2021-02-08T01:14:11.000Z

rules_default/castervoice/lib/ctrl/mgr/errors/guidance_rejection.py

soma2000-lang/LarynxCode

840fee18c689a357052825607c27fc8e3e56571c

[ "MIT" ]

4

2021-02-03T05:05:00.000Z

2021-07-14T06:21:10.000Z

class GuidanceRejectionException(Exception): _MSG = "Unit tests should not write files unless they clean them up too." def __init__(self): super(GuidanceRejectionException, self).__init__(GuidanceRejectionException._MSG)

39.666667

89

0.773109

25

238

6.96

0.8

0

0.155462

238

6

89

39.666667

0.865672

0

0.267782

0

1

0.25

false

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

17892a67a0a89c9504f2292a8504bcb3c18c4266

128

py

Python

iptv/__main__.py

unlocKing/iptv

17c18f0789b7692d4a97d7ff575980c6e35cc62e

[ "MIT" ]

1

2021-08-19T05:31:14.000Z

iptv/__main__.py

unlocKing/iptv

17c18f0789b7692d4a97d7ff575980c6e35cc62e

[ "MIT" ]

null

iptv/__main__.py

unlocKing/iptv

17c18f0789b7692d4a97d7ff575980c6e35cc62e

[ "MIT" ]

1

2019-01-18T11:20:49.000Z

# -*- coding: utf-8 -*- from iptv.main import main if __name__ == '__main__': # execute only if run as a script main()

18.285714

37

0.617188

19

128

3.736842

0.789474

0

0.010309

0.242188

128

6

38

21.333333

0.721649

0.414063

0

0.111111

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

179c984099c88630a08101694b4ed504b2548260

928

py

Python

src/backend/models/path_name_manager.py

Juliiia/TraceVisualization

2e28c1f01699d23e7a537937aa46f8e85a374ce9

[ "MIT" ]

null

src/backend/models/path_name_manager.py

Juliiia/TraceVisualization

2e28c1f01699d23e7a537937aa46f8e85a374ce9

[ "MIT" ]

null

src/backend/models/path_name_manager.py

Juliiia/TraceVisualization

2e28c1f01699d23e7a537937aa46f8e85a374ce9

[ "MIT" ]

null

#!/usr/bin/python3.6 def getPathToDataExchangeFolder(): return 'src/backend/dataExchange/' def getPathToLogFolder(): return 'src/backend/log/' def getPathToDataOutput(): return 'src/backend/dataOutput/' def getPathOfMainJsonFile(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '.json' def getPathOfNetworkJsonFile(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_network.json' def getPathOfNeighborBarchart(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_neighbor_barchart.json' def getPathOfSankeyDiagram(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_sankey_diagram.json' def getPathOfEntityOutputCSVFile(artifact_name): return getPathToDataOutput() + artifact_name + '_entity_output.csv' def getNodeId(artifact_name, counter): return artifact_name + 'entity' + str(counter)

25.081081

84

0.779095

85

928

8.282353

0.388235

0.204545

0.127841

0.255682

0.323864

0

0.00246

0.123922

928

37

85

25.081081

0.863469

0.020474

0

0.163916

0.078108

0

1

0.5

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

4

bd83991f5938aa1760d981201b552f366498ed68

238

py

Python

lionrender/__init__.py

Kupoman/panda3d-lion-render

9d8cd41ec1b891a7ad940cd4ca6f8a08ff6b1002

[ "MIT" ]

null

lionrender/__init__.py

Kupoman/panda3d-lion-render

9d8cd41ec1b891a7ad940cd4ca6f8a08ff6b1002

[ "MIT" ]

null

lionrender/__init__.py

Kupoman/panda3d-lion-render

9d8cd41ec1b891a7ad940cd4ca6f8a08ff6b1002

[ "MIT" ]

null

from .renderpass import Pass from .gpubuffer import GpuBuffer from .xfbbuffer import TransformFeedbackBuffer from .filter_pass import ( FilterPass, FxaaFilterPass, ) from .scene_pass import ( ScenePass, DepthScenePass, )

18.307692

46

0.764706

24

238

7.5

0.541667

0.111111

0

0.180672

238

12

47

19.833333

0.923077

0

1

0

true

0.636364

0.454545

0

0.454545

0

1

0

null

0

null

0

1

0

4

bdb48078a5f0d488fcfa64db39f62a3c0d6834d3

108

py

Python

tests/fib.py

jplevyak/pyc

9f4bc49be78ba29427841460945ce63826fcd857

[ "BSD-3-Clause" ]

3

2019-08-21T22:01:35.000Z

2021-07-25T00:21:28.000Z

tests/fib.py

jplevyak/pyc

9f4bc49be78ba29427841460945ce63826fcd857

[ "BSD-3-Clause" ]

null

tests/fib.py

jplevyak/pyc

9f4bc49be78ba29427841460945ce63826fcd857

[ "BSD-3-Clause" ]

null

def fib(x): if x==0 or x==1: return 1 else: return fib(x-2)+fib(x-1) print fib(33)

13.5

32

0.481481

22

108

2.363636

0.545455

0.230769

0

0.1

0.351852

108

7

33

15.428571

0.642857

0

null

0

null

0.166667

1

0

null

1

0

1

0

null

0

1

0

4