xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

3ac70080d2ba84f213f06c587171c79abbd5554a

4,122

py

Python

code/data_acquire/getTweets.py

siwei-li/tweet_stock

5c265a747f06388f303f314d812879cfff90f938

[ "MIT" ]

null

code/data_acquire/getTweets.py

siwei-li/tweet_stock

5c265a747f06388f303f314d812879cfff90f938

[ "MIT" ]

null

code/data_acquire/getTweets.py

siwei-li/tweet_stock

5c265a747f06388f303f314d812879cfff90f938

[ "MIT" ]

null

import datetime from Scweet.scweet import scrape import pandas as pd from datetime import date search_word_list = ["$AAPL"] last_date = date.today().strftime('%Y-%m-%d') start_date = (date.today() - datetime.timedelta(days=59)).strftime('%Y-%m-%d') path = "../tweets/" data = scrape(words=search_word_list, since="2021-10-01", until="2021-10-02",interval=1, \ lang="en", resume=False) print(data) # for search_word in search_word_list: # c = twint.Config() # c.search = search_word # c.Pandas = True # twint.run.Search(c) # Tweets_df = twint.storage.panda.Tweets_df # Tweets_df.to_csv(path + search_word + "_" + start_date + "_" + last_date + ".csv") # import pandas as pd # # from tweepy.api import API # from tweepy.auth import OAuthHandler # from tweepy.cursor import Cursor # # # Plug in developer account keys # consumer_key = "ZoGaaYZ67GDr0TurYWv4aHXLN" # consumer_secret = "IPlIp6O2nDd9gZaugIqfB6fjaGdCPIHevoJS3fx6TTeeNluJgE" # access_token = "1116849769-LSw3UzWyCNvqxE1PYffAbxhQyOhgVlXnIqbpZIx" # access_token_secret = "FoPG2ZEQ96szKZFaJXrbQNJymkUWveNQCzkB0GlcMLXvC" # # bear = "AAAAAAAAAAAAAAAAAAAAAOVtUQEAAAAA%2Fj0c5rWaSPh1afiD7Xa%2B6TweD8s%3DT7INjLcED97ezLZcVj6djgBaTmqFMFfxEJpJZSVGpvvhe1WbbM" # # # Give Python your developer account keys # auth = OAuthHandler(consumer_key, consumer_secret) # auth.set_access_token(access_token, access_token_secret) # twitter api set ups # # api = API(auth, # wait_on_rate_limit=True, # # wait_on_rate_limit_notify=True, # retry_count=10000, # retry_delay=60, # timeout=120) # # import GetOldTweets3 as got # # # Define variables below # path = "" # start_date = '2021-10-06' # last_date = '2021-10-14' # # search_word_list = ["$AAPL", "AAPL"] # search_word_list = ["Trump"] # # if __name__ == "__main__": # # search for each word in search list separately # for search_word in search_word_list: # print("Current search word: " + search_word) # # search for each date separately # for date_since in pd.date_range(start=start_date, end=last_date): # df = pd.DataFrame([]) # print(date_since.strftime('%Y−%m−%d')) # # # extract tweets # tweets = Cursor( # api, # # api.search, # q=search_word, # extended=True, # lang="en", # until=(date_since + dt.timedelta(days=1)).strftime('%Y−%m−%d'), # # since=date_since.strftime('%Y−%m−%d'), # result_type="recent", # ).items() # # print(tweets) # # # tweetCriteria = got.manager.TweetCriteria().setQuerySearch(search_word) \ # # .setSince(date_since.strftime('%Y−%m−%d'))\ # # .setUntil((date_since + dt.timedelta(days=1)).strftime('%Y−%m−%d')) # # tweets = got.manager.TweetManager.getTweets(tweetCriteria) # # # put content of object into list # users_locs = [[search_word, # # tweet.username, # tweet.user.screen_name, # # tweet.geo, # tweet.user.location, # tweet.text, # # tweet.date # tweet.created_at # ] for tweet in tweets] # # make a df # tweet_text = pd.DataFrame(data=users_locs, # columns=["search_word", "user", "location", "text", "date"]) # # merge the df with the other results for different dates and search words # df = df.append(tweet_text) # # save daily results # df = df.reset_index(drop=True) # print(f"{len(df)} Tweets in total.") # # if not df.empty: # df.to_csv(path + search_word + "" + date_since.strftime('%Y−%m−%d') + ".csv")

37.472727

129

0.565745

453

4,122

4.993377

0.364238

0.075155

0.037135

0.029178

0.134394

0.116711

0.098143

0.072502

0.033599

0

0.030899

0.309073

4,122

109

130

37.816514

0.759129

0.840126

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0.09707

0

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false

0

0.333333

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0.333333

0.083333

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null

0

1

0

null

0

1

0

2

3acc2dccc0b9182da0a2f313b50a9e7c2fb3ba57

2,041

py

Python

ihome/ihome/utils/checkid.py

xyuzi/ihome

ab74e4efb73c14d2b410f6c19c6b2a35f8fd720e

[ "MIT" ]

null

ihome/ihome/utils/checkid.py

xyuzi/ihome

ab74e4efb73c14d2b410f6c19c6b2a35f8fd720e

[ "MIT" ]

10

2021-03-19T11:31:11.000Z

2022-02-10T10:44:16.000Z

ihome/ihome/utils/checkid.py

xyuzi/ihome

ab74e4efb73c14d2b410f6c19c6b2a35f8fd720e

[ "MIT" ]

null

W = [7, 9, 10, 5, 8, 4, 2, 1, 6, 3, 7, 9, 10, 5, 8, 4, 2] # 加权系数 M_run = [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31] # 闰年每月天数 M_ping = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31] # 平年每月天数 def check(id_number): try: id_number = str(id_number) except: return None if len(id_number) != 18 or not id_number[:-1].isdigit() and (id_number[-1] != 'X' or id_number[-1] != 'x'): return None id_number_dict = dict() id_number_dict['地址码'] = int(id_number[:6]) # 校验身份证地址码 if len(str(id_number_dict['地址码'])) != 6: return None id_number_dict['YY'] = int(id_number[6:10]) # 校验身份证年份 if len(str(id_number_dict['YY'])) != 4 or id_number_dict['YY'] > 2019: return None id_number_dict['MM'] = int(id_number[10:12]) # 校验身份证月份 if id_number_dict['MM'] > 12 or id_number_dict['MM'] == 0: return None id_number_dict['DD'] = int(id_number[12:14]) # 校验身份证日期 if id_number_dict['YY'] % 400 == 0 or (id_number_dict['YY'] % 4 == 0 and id_number_dict['YY'] % 100 != 0): if id_number_dict['DD'] > M_run[id_number_dict['MM'] - 1]: return None else: if id_number_dict['DD'] > M_ping[id_number_dict['MM'] - 1]: return None id_number_dict['顺序码'] = id_number[14:17] # 校验身份证顺序码 # if (int(id_number_dict['顺序码'][-1]) % 2 == 0 and id_sex == '男') or ( # int(id_number_dict['顺序码'][-1]) % 2 == 1 and id_sex == '女'): # print('身份证号码顺序码错误') # return None if id_number[17] == 'X' or id_number[17] == 'x': id_number_dict['校验码'] = 10 else: id_number_dict['校验码'] = int(id_number[17]) # 校验身份证校验码 A = list(map(int, list(id_number[:-1]))) id_S = sum([x * y for (x, y) in zip(A, W)]) id_N = (12 - id_S % 11) % 11 if id_N == id_number_dict['校验码']: return True else: return None if __name__ == '__main__': print(check('11010119900307651X')) print(check('110101199003072551')) print(check(110101199003072551))

34.59322

111

0.56002

333

2,041

3.192192

0.243243

0.293509

0.259643

0.079022

0.334901

0.206961

0.137347

0.037629

0

0.121353

0.261147

2,041

58

112

35.189655

0.583554

0.120039

0

0.255814

0

0.05275

0

1

0.023256

false

0

0.232558

0.069767

0

null

1

0

null

0

2

3ad7e7dc441525dc13d23c5abf231dce0988ee2d

1,282

py

Python

radiovis/models.py

mervij/radiodns

01543cf1e4de8de335af0301616e089c35fc67f8

[ "Apache-2.0" ]

null

radiovis/models.py

mervij/radiodns

01543cf1e4de8de335af0301616e089c35fc67f8

[ "Apache-2.0" ]

8

2021-05-17T10:54:28.000Z

2021-06-08T12:02:37.000Z

radiovis/models.py

mervij/radiodns

01543cf1e4de8de335af0301616e089c35fc67f8

[ "Apache-2.0" ]

null

# Copyright 2021 Radio Moreeni # # 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 django.db import models class Image(models.Model): image = models.ImageField(upload_to='images/') def __str__(self): return f'{self.image}' class ImageSlide(models.Model): trigger_time = models.DateTimeField(null=True) image = models.ForeignKey(Image, on_delete=models.CASCADE) link = models.CharField(max_length=512, blank=True) sent = models.DateTimeField(null=True, editable=False) def __str__(self): return str(self.sent) class TextSlide(models.Model): message = models.CharField(max_length=128, default='') sent = models.DateTimeField(null=True, editable=False) def __str__(self): return f'{self.sent}, "{self.message}"'

31.268293

74

0.726989

179

1,282

5.111732

0.564246

0.065574

0.032787

0.052459

0.159563

0.131148

0

0.013208

0.173167

1,282

40

75

32.05

0.85

0.429017

0

0.294118

0

0.066852

0

1

0.176471

false

0

0.058824

0.176471

1

0

null

0

null

0

1

0

2

3add13e07600a3e8ac0277ad5a85ed8b6c37c66d

149

py

Python

Python Exercicios/tabuada.py

candido00/Python

4b6721d55828191ca2ede0c5a0c36f6f5afdad55

[ "MIT" ]

null

Python Exercicios/tabuada.py

candido00/Python

4b6721d55828191ca2ede0c5a0c36f6f5afdad55

[ "MIT" ]

null

Python Exercicios/tabuada.py

candido00/Python

4b6721d55828191ca2ede0c5a0c36f6f5afdad55

[ "MIT" ]

null

numero = int(input("Digite um numero para calcular tabuada: ")) tab = 0 while (tab <= 10): print (tab ,"X",numero,"=", numero * tab) tab +=1

24.833333

63

0.597315

22

149

4.045455

0.681818

0

0.034188

0.214765

149

5

64

29.8

0.726496

0

0.281879

0

1

0

false

0

0.2

1

0

null

0

1

0

null

0

2

3aec288a57313268e8b9645d0fbfd8350334bac5

575

py

Python

thelma/repositories/rdb/schema/tables/tube.py

fogathmann/TheLMA

ac330a0005da4fea2f1387da9ff9938611ad1481

[ "MIT" ]

1

2020-07-12T22:47:58.000Z

thelma/repositories/rdb/schema/tables/tube.py

papagr/TheLMA

d2dc7a478ee5d24ccf3cc680888e712d482321d0

[ "MIT" ]

null

thelma/repositories/rdb/schema/tables/tube.py

papagr/TheLMA

d2dc7a478ee5d24ccf3cc680888e712d482321d0

[ "MIT" ]

1

2020-07-12T22:40:36.000Z

""" Container table. """ from sqlalchemy import Column from sqlalchemy import ForeignKey from sqlalchemy import Integer from sqlalchemy import String from sqlalchemy import Table __docformat__ = "reStructuredText en" __all__ = ['create_table'] def create_table(metadata, container_tbl): "Table factory." tbl = Table('tube', metadata, Column('container_id', Integer, ForeignKey(container_tbl.c.container_id), primary_key=True), Column('barcode', String, nullable=False)) return tbl

25

64

0.666087

60

575

6.133333

0.466667

0.190217

0.271739

0

0.248696

575

22

65

26.136364

0.851852

0.053913

0

0.123412

0

1

0.066667

false

0

0.333333

0

0.466667

0

null

0

1

0

null

0

1

0

2

3af115d969414e81383db0d1cd3046611a16de1c

346

py

Python

yunionclient/api/dbinstanceaccounts.py

yunionyun/python_yunionsdk

40a567b80f6fb3ebc72d8cc6313b334a201b2f00

[ "Apache-2.0" ]

3

2021-09-22T11:34:08.000Z

2022-03-13T04:55:17.000Z

yunionclient/api/dbinstanceaccounts.py

yunionyun/python_yunionsdk

40a567b80f6fb3ebc72d8cc6313b334a201b2f00

[ "Apache-2.0" ]

13

2019-06-06T08:25:41.000Z

2021-07-16T07:26:10.000Z

yunionclient/api/dbinstanceaccounts.py

yunionyun/python_yunionsdk

40a567b80f6fb3ebc72d8cc6313b334a201b2f00

[ "Apache-2.0" ]

7

2019-03-31T05:43:36.000Z

2021-03-04T09:59:05.000Z

from yunionclient.common import base class Dbinstanceaccount(base.ResourceBase): pass class DbinstanceaccountManager(base.StandaloneManager): resource_class = Dbinstanceaccount keyword = 'dbinstanceaccount' keyword_plural = 'dbinstanceaccounts' _columns = ["Id", "Name", "Dbinstance_Id", "Status", "Dbinstanceprivileges"]

26.615385

80

0.763006

29

346

8.965517

0.724138

0.169231

0

0.141619

346

12

81

28.833333

0.875421

0

0.231884

0

1

0

false

0.125

0

0.875

0

1

0

null

0

null

0

1

0

2

aae7fb5f3ea48b248531aa920d2ea7bd4a26bb66

1,436

py

Python

wepost/urls.py

Hannidiot/wepost

98c8a30812bef1a7682b3641048f7c3aa65ba8f9

[ "MIT" ]

null

wepost/urls.py

Hannidiot/wepost

98c8a30812bef1a7682b3641048f7c3aa65ba8f9

[ "MIT" ]

1

2022-03-02T18:16:12.000Z

2022-03-02T23:39:14.000Z

wepost/urls.py

Hannidiot/wepost

98c8a30812bef1a7682b3641048f7c3aa65ba8f9

[ "MIT" ]

null

"""wepost URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.conf import settings from django.contrib import admin from django.urls import path from django.conf.urls import include,url from wepost_main.views import index_view from wepost_main.views import test from django.conf import settings from django.conf.urls.static import static from django.views.generic.base import RedirectView urlpatterns = [ path('admin/', admin.site.urls), path('wepost/', include('wepost_main.urls')), path('accounts/', include('allauth.urls')), path('', index_view.index, name="index"), path('accounts/', include('signuser.urls',namespace='signuser')), # path('wepost_main/', include('wepost_main.urls', namespace='wepost_main')), # path('signuser/',include('signuser.urls')), ] + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

39.888889

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206

1,436

5.009709

0.320388

0.077519

0.054264

0.023256

0.235465

0.187016

0.146318

0

0.006478

0.139972

1,436

35

82

41.028571

0.82915

0.517409

0

0.125

0

0.124088

0

1

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false

0

0.5625

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0.5625

0

null

0

null

0

1

0

1

0

2

aae9039521789a5d811ceb511b2f5cde4fa43e94

512

py

Python

utils/schema-doc-generator/script.py

polfliet/newrelic-quickstarts

e73e2f6e0844566eaebfc479049612999de93b17

[ "Apache-2.0" ]

1

2021-09-21T21:15:14.000Z

utils/schema-doc-generator/script.py

polfliet/newrelic-quickstarts

e73e2f6e0844566eaebfc479049612999de93b17

[ "Apache-2.0" ]

null

utils/schema-doc-generator/script.py

polfliet/newrelic-quickstarts

e73e2f6e0844566eaebfc479049612999de93b17

[ "Apache-2.0" ]

null

import glob from pathlib import Path from json_schema_for_humans.generation_configuration import GenerationConfiguration from json_schema_for_humans.generate import generate_from_filename config = GenerationConfiguration(template_name="md", show_toc=False) schema_paths = glob.glob('utils/schemas/*.json') for path in schema_paths: # stem is filename without extension stem = Path(path).stem print(f'generating doc for: {path}') generate_from_filename(path, f'docs/{stem}.md', config=config)

32

83

0.794922

70

512

5.6

0.485714

0.040816

0.071429

0.086735

0.117347

0

0.119141

512

15

84

34.133333

0.86918

0.066406

0

1

0

0.130252

0

1

0

false

0

0.4

0

0.4

0.1

0

null

0

1

0

null

0

1

0

2

aafccaaef3796f6f4b530b4baf78a42b15beba5c

194

py

Python

tests/test_ops.py

HephaestusProject/pytorch-DCGAN

b3bc52d75dc1023abde74fb1bb5ef118572d0adb

[ "MIT" ]

null

tests/test_ops.py

HephaestusProject/pytorch-DCGAN

b3bc52d75dc1023abde74fb1bb5ef118572d0adb

[ "MIT" ]

8

2020-07-31T16:03:16.000Z

2020-10-03T15:10:09.000Z

tests/test_ops.py

HephaestusProject/pytorch-DCGAN

b3bc52d75dc1023abde74fb1bb5ef118572d0adb

[ "MIT" ]

null

import pytest import torch from src.model.ops import Reshape def test_reshape(): x = torch.empty(128, 100) y = Reshape(-1, 1).forward(x) assert y.size() == torch.Size([12800, 1])

17.636364

45

0.654639

31

194

4.064516

0.645161

0

0.089744

0.195876

194

10

46

19.4

0.717949

0

0.142857

1

0.142857

false

0

0.428571

0

0.571429

0

null

0

null

0

1

0

1

0

2

aaff6aacfb03f9b46395c518b76a4843ed748dd7

591

py

Python

skaio/core/publisher.py

cipriantarta/skaio

30716a3bd30d055c0c18d10a899522934bb71613

[ "BSD-3-Clause" ]

null

skaio/core/publisher.py

cipriantarta/skaio

30716a3bd30d055c0c18d10a899522934bb71613

[ "BSD-3-Clause" ]

null

skaio/core/publisher.py

cipriantarta/skaio

30716a3bd30d055c0c18d10a899522934bb71613

[ "BSD-3-Clause" ]

null

from skaio.core.base.broker import BrokerBase from skaio.core.base.serializer import TaskSerializer from skaio.core.brokers.redis import RedisBroker from skaio.core.serializers.pickle_serializer import PickleSerializer from skaio.core.base.task import BaseTask class Publisher: def __init__(self, broker: BrokerBase=None, serializer: TaskSerializer=None): self.__broker = broker or RedisBroker.create() self.__serializer = serializer or PickleSerializer() async def publish(self, task: BaseTask): await self.__broker.put(self.__serializer.serialize(task))

39.4

81

0.78511

72

591

6.263889

0.416667

0.099778

0.144124

0.113082

0

0.135364

591

14

82

42.214286

0.882583

0

1

0.090909

false

0

0.454545

0

0.636364

0

null

0

null

0

1

0

1

0

2

c901f7dabb75a651fc2f96352a0a3233ebd2efe8

456

py

Python

sphinx_tomyst/transform/__init__.py

QuantEcon/sphinxcontrib-tomyst

b0eeecc787d74681ab3cfeff41d22aa9e56c11c5

[ "MIT" ]

4

2020-09-26T22:51:46.000Z

2021-05-10T13:52:49.000Z

sphinx_tomyst/transform/__init__.py

executablebooks/sphinx-tomyst

b0eeecc787d74681ab3cfeff41d22aa9e56c11c5

[ "MIT" ]

33

2020-09-25T04:26:10.000Z

2021-06-24T00:42:57.000Z

sphinx_tomyst/transform/__init__.py

QuantEcon/sphinx-tomyst

b0eeecc787d74681ab3cfeff41d22aa9e56c11c5

[ "MIT" ]

1

2020-08-10T02:51:03.000Z

""" Transform to Intercept Sphinx AST before transforms/post-transforms """ from sphinx.transforms import SphinxTransform from sphinx.util import logging logger = logging.getLogger(__name__) def intercept_ast(config, document, tags): document.document_pretransforms = document.deepcopy() class InterceptAST(SphinxTransform): default_priority = 1 def apply(self): intercept_ast(self.config, self.document, self.app.builder.tags)

21.714286

72

0.769737

53

456

6.471698

0.584906

0.058309

0

0.002558

0.142544

456

20

73

22.8

0.87468

0.14693

0

1

0.222222

false

0

0.222222

0

0.666667

0

null

0

null

0

1

0

1

0

2

c909016ca18ee628b31c86f2fd67a068c5aba3fa

489

py

Python

naverblog.py

ruby-kim/automatic-tech-blog-management

5d45598bb87159ae08b5b80ccab81f4683989185

[ "MIT" ]

null

naverblog.py

ruby-kim/automatic-tech-blog-management

5d45598bb87159ae08b5b80ccab81f4683989185

[ "MIT" ]

null

naverblog.py

ruby-kim/automatic-tech-blog-management

5d45598bb87159ae08b5b80ccab81f4683989185

[ "MIT" ]

null

import pytz from bs4 import BeautifulSoup from datetime import datetime import requests import os # local import from dotenv import load_dotenv class NaverBlog: def __init__(self, blogUrl): self.url = blogUrl self.xml = blogUrl.replace("https://", "https://rss.") + ".xml" self.contents = [] self.curTime = None def parsing_xml(self): return if __name__ == "__main__": naverBlog = NaverBlog("https://blog.naver.com/dev_rubykim")

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null

0

null

0

1

0

1

0

2

c914d2aded3e634de132b65713e4999e7bcd4909

1,036

py

Python

canteen/__init__.py

dbl0null/canteen

3bef22a2059ef6ac5df178324fbc1dba45316e22

[ "MIT" ]

2

2016-08-24T18:42:41.000Z

2017-12-08T00:41:02.000Z

canteen/__init__.py

dbl0null/canteen

3bef22a2059ef6ac5df178324fbc1dba45316e22

[ "MIT" ]

null

canteen/__init__.py

dbl0null/canteen

3bef22a2059ef6ac5df178324fbc1dba45316e22

[ "MIT" ]

2

2015-09-22T05:36:27.000Z

2017-12-08T00:41:21.000Z

# -*- coding: utf-8 -*- """ canteen ~~~~~~~ a minimal web framework for the modern web :author: Sam Gammon <sg@samgammon.com> :copyright: (c) Sam Gammon, 2014 :license: This software makes use of the MIT Open Source License. A copy of this license is included as ``LICENSE.md`` in the root of the project. """ debug, __version__ = __debug__, (0, 3) # stdlib import __builtin__; export = None # yay modules! from . import core from . import rpc from . import util from . import test from . import base from . import model from . import logic from . import runtime from . import dispatch from . import exceptions # canteen :) from .rpc import * from .core import * from .util import * from .test import * from .base import * from .logic import * from .model import * from .runtime import * from .dispatch import * from .exceptions import * __all__ = [export for export in globals() if ( export not in __builtin__.__dict__ and ( not export.startswith('__')))] # export all the things!

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null

0

null

0

1

0

1

0

2

c9162836cb3ef63abac5fbeb5186892c6b69ded5

297

py

Python

api/src/lib/aws_util/s3/csv/read.py

kagemeka/twitter-api-python

c78e2b16177126d7808b90d09d6f565bd89dce5b

[ "MIT" ]

null

api/src/lib/aws_util/s3/csv/read.py

kagemeka/twitter-api-python

c78e2b16177126d7808b90d09d6f565bd89dce5b

[ "MIT" ]

null

api/src/lib/aws_util/s3/csv/read.py

kagemeka/twitter-api-python

c78e2b16177126d7808b90d09d6f565bd89dce5b

[ "MIT" ]

null

import pandas as pd import tempfile from lib.aws_util.s3.download import download_from_s3 def read_csv_on_s3(bucket_name: str, obj: str) -> pd.DataFrame: dir_ = tempfile.mkdtemp() save_path = f'{dir_}/data.csv' download_from_s3(bucket_name, obj, save_path) return pd.read_csv(save_path)

29.7

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297

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null

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null

0

1

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1

0

2

c91673bdcaf604fa1c451079ba7718d8808f0da6

2,908

py

Python

src/py_dss_tools/model/control/ESPVLControl.py

eniovianna/py_dss_tools

3057fb0b74facd05a362e4e4a588f79f70aa9dd7

[ "MIT" ]

3

2021-05-29T00:40:10.000Z

2021-09-30T17:56:14.000Z

src/py_dss_tools/model/control/ESPVLControl.py

eniovianna/py_dss_tools

3057fb0b74facd05a362e4e4a588f79f70aa9dd7

[ "MIT" ]

null

src/py_dss_tools/model/control/ESPVLControl.py

eniovianna/py_dss_tools

3057fb0b74facd05a362e4e4a588f79f70aa9dd7

[ "MIT" ]

3

2021-05-29T00:40:46.000Z

2022-01-13T22:04:49.000Z

# -*- encoding: utf-8 -*- """ Created by Ênio Viana at 22/09/2021 at 23:05:30 Project: py_dss_tools [set, 2021] """ class ESPVLControl: name = "ESPVLControl" name_plural = "ESPVLControls" columns = ['basefreq', 'element', 'enabled', 'forecast', 'kvarlimit', 'kwband', 'like', 'localcontrollist', 'localcontrolweights', 'pvsystemlist', 'pvsystemweights', 'storagelist', 'storageweights', 'terminal', 'type'] def __init__(self): self.__element = None self.__forecast = None self.__kvarlimit = None self.__kwband = None self.__localcontrollist = None self.__localcontrolweights = None self.__pvsystemlist = None self.__pvsystemweights = None self.__storagelist = None self.__storageweights = None self.__terminal = None self.__type = None @property def element(self): return self.__element @element.setter def element(self, value): self.__element = value @property def forecast(self): return self.__forecast @forecast.setter def forecast(self, value): self.__forecast = value @property def kvarlimit(self): return self.__kvarlimit @kvarlimit.setter def kvarlimit(self, value): self.__kvarlimit = value @property def kwband(self): return self.__kwband @kwband.setter def kwband(self, value): self.__kwband = value @property def localcontrollist(self): return self.__localcontrollist @localcontrollist.setter def localcontrollist(self, value): self.__localcontrollist = value @property def localcontrolweights(self): return self.__localcontrolweights @localcontrolweights.setter def localcontrolweights(self, value): self.__localcontrolweights = value @property def pvsystemlist(self): return self.__pvsystemlist @pvsystemlist.setter def pvsystemlist(self, value): self.__pvsystemlist = value @property def pvsystemweights(self): return self.__pvsystemweights @pvsystemweights.setter def pvsystemweights(self, value): self.__pvsystemweights = value @property def storagelist(self): return self.__storagelist @storagelist.setter def storagelist(self, value): self.__storagelist = value @property def storageweights(self): return self.__storageweights @storageweights.setter def storageweights(self, value): self.__storageweights = value @property def terminal(self): return self.__terminal @terminal.setter def terminal(self, value): self.__terminal = value @property def type(self): return self.__type @type.setter def type(self, value): self.__type = value

23.451613

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2,908

123

118

23.642276

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false

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0

null

0

null

0

1

0

1

0

2

c918a159c8987d3bc8a35c72b224729869659c26

452

py

Python

apps/ventas/admin.py

Marthox1999/ProyectoDesarrolloII

cf19c683ea121b9b1affafdc3f671e7db2304b3a

[ "MIT" ]

null

apps/ventas/admin.py

Marthox1999/ProyectoDesarrolloII

cf19c683ea121b9b1affafdc3f671e7db2304b3a

[ "MIT" ]

88

2019-06-18T18:28:19.000Z

2019-09-19T18:54:46.000Z

apps/ventas/admin.py

Marthox1999/Nova

cf19c683ea121b9b1affafdc3f671e7db2304b3a

[ "MIT" ]

null

from django.contrib import admin from .models import Factura, DetallesFactura, DescuentoCategoria, DescuentoSubCategoria, DescuentoProducto, PagosCredito, PagosDebito # Register your models here. admin.site.register(Factura) admin.site.register(DetallesFactura) admin.site.register(DescuentoCategoria) admin.site.register(DescuentoSubCategoria) admin.site.register(DescuentoProducto) admin.site.register(PagosCredito) admin.site.register(PagosDebito)

37.666667

133

0.856195

47

452

8.234043

0.361702

0.162791

0.307494

0

0.059735

452

11

134

41.090909

0.910588

0.057522

0

1

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true

0

0.222222

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0.222222

0

null

0

1

0

null

0

1

0

2

c91be6e39aa11a826d5c88e03c829db44427baeb

7,941

py

Python

Traffic.py

softmicro929/a-deep-rl-approach-for-sdn-routing-optimization

6aa9e9ad8dfa7353dccf5525bae70c03e568a53d

[ "MIT" ]

11

2018-12-09T03:48:01.000Z

2022-03-22T07:00:28.000Z

Traffic.py

softmicro929/a-deep-rl-approach-for-sdn-routing-optimization

6aa9e9ad8dfa7353dccf5525bae70c03e568a53d

[ "MIT" ]

null

Traffic.py

softmicro929/a-deep-rl-approach-for-sdn-routing-optimization

6aa9e9ad8dfa7353dccf5525bae70c03e568a53d

[ "MIT" ]

3

2019-04-23T04:30:09.000Z

2021-04-22T07:32:33.000Z

""" Traffic.py """ __author__ = "giorgio@ac.upc.edu" import numpy as np from os import listdir from re import split from OU import OU from helper import softmax def natural_key(string_): """See http://www.codinghorror.com/blog/archives/001018.html""" return [int(s) if s.isdigit() else s for s in split(r'(\d+)', string_)] # class Traffic(): def __init__(self, nodes_num, type, capacity): self.nodes_num = nodes_num self.prev_traffic = None self.type = type self.capacity = capacity * nodes_num / (nodes_num - 1) self.dictionary = {} self.dictionary['NORM'] = self.normal_traffic self.dictionary['UNI'] = self.uniform_traffic self.dictionary['CONTROLLED'] = self.controlled_uniform_traffic self.dictionary['EXP'] = self.exp_traffic self.dictionary['OU'] = self.ou_traffic self.dictionary['STAT'] = self.stat_traffic self.dictionary['STATEQ'] = self.stat_eq_traffic self.dictionary['FILE'] = self.file_traffic self.dictionary['DIR'] = self.dir_traffic if self.type.startswith('DIR:'): self.dir = sorted(listdir(self.type.split('DIR:')[-1]), key=lambda x: natural_key((x))) self.static = None self.total_ou = OU(1, self.capacity/2, 0.1, self.capacity/2) self.nodes_ou = OU(self.nodes_num**2, 1, 0.1, 1) def normal_traffic(self): t = np.random.normal(capacity/2, capacity/2) return np.asarray(t * softmax(np.random.randn(self.nodes_num, self.nodes_num))).clip(min=0.001) def uniform_traffic(self): t = np.random.uniform(0, self.capacity*1.25) return np.asarray(t * softmax(np.random.uniform(0, 1, size=[self.nodes_num]*2))).clip(min=0.001) def controlled_uniform_traffic(self): t = np.random.uniform(0, self.capacity*1.25) if self.prev_traffic is None: self.prev_traffic = np.asarray(t * softmax(np.random.uniform(0, 1, size=[self.nodes_num]*2))).clip(min=0.001) dist = [1] dist += [0]*(self.nodes_num**2 - 1) ch = np.random.choice(dist, [self.nodes_num]*2) tt = np.multiply(self.prev_traffic, 1 - ch) nt = np.asarray(t * softmax(np.random.uniform(0, 1, size=[self.nodes_num]*2))).clip(min=0.001) nt = np.multiply(nt, ch) self.prev_traffic = tt + nt return self.prev_traffic # xxxxxxx # xxx # 指数分布 def exp_traffic(self): a = np.random.exponential(size=self.nodes_num) b = np.random.exponential(size=self.nodes_num) # https://blog.csdn.net/u011599639/article/details/77926402 # 计算向量 a,b 外积，[a,b] T = np.outer(a, b) # 对角线填 -1 np.fill_diagonal(T, -1) T[T!=-1] = np.asarray(np.random.exponential()*T[T!=-1]/np.average(T[T!=-1])).clip(min=0.001) return T def stat_traffic(self): if self.static is None: string = self.type.split('STAT:')[-1] v = np.asarray(tuple(float(x) for x in string.split(',')[:self.nodes_num**2])) M = np.split(v, self.nodes_num) self.static = np.vstack(M) return self.static def stat_eq_traffic(self): if self.static is None: value = float(self.type.split('STATEQ:')[-1]) self.static = np.full([self.nodes_num]*2, value, dtype=float) return self.static def ou_traffic(self): t = self.total_ou.evolve()[0] nt = t * softmax(self.nodes_ou.evolve()) i = np.split(nt, self.nodes_num) return np.vstack(i).clip(min=0.001) def file_traffic(self): if self.static is None: fname = 'traffic/' + self.type.split('FILE:')[-1] v = np.loadtxt(fname, delimiter=',') self.static = np.split(v, self.nodes_num) return self.static def dir_traffic(self): while len(self.dir) > 0: tm = self.dir.pop(0) if not tm.endswith('.txt'): continue fname = self.type.split('DIR:')[-1] + '/' + tm v = np.loadtxt(fname, delimiter=',') return np.split(v, self.nodes_num) return False def generate(self): return self.dictionary[self.type.split(":")[0]]() # 这样 dictionary [14,14] 代表什么意思呢？？？ #[[-1.00000000e+00 4.82597027e-01 1.64885219e-01 2.39937374e-01 # 4.24195039e-01 3.90513477e-01 1.73313504e-01 2.39531467e-01 # 8.81383591e-01 2.35750495e-01 9.86736084e-01 1.10174305e+00 # 2.91715890e-02 1.24369249e-01] # [1.24568554e-01 - 1.00000000e+00 4.58794226e-02 6.67627350e-02 # 1.18032554e-01 1.08660636e-01 4.82245987e-02 6.66497910e-02 # 2.45245574e-01 6.55977330e-02 2.74559976e-01 3.06560741e-01 # 8.11701418e-03 3.46058268e-02] # [4.41894837e-01 4.76355699e-01 - 1.00000000e+00 2.36834313e-01 # 4.18709012e-01 3.85463046e-01 1.71072076e-01 2.36433655e-01 # 8.69984838e-01 2.32701582e-01 9.73974829e-01 1.08749443e+00 # 2.87943189e-02 1.22760807e-01] # [3.99306289e-01 4.30445913e-01 1.47067148e-01 - 1.00000000e+00 # 3.78355046e-01 3.48313231e-01 1.54584644e-01 2.13646863e-01 # 7.86138212e-01 2.10274476e-01 8.80105948e-01 9.82684859e-01 # 2.60192056e-02 1.10929475e-01] # [8.86430104e-01 9.55557740e-01 3.26478072e-01 4.75083769e-01 # - 1.00000000e+00 7.73229329e-01 3.43166350e-01 4.74280060e-01 # 1.74516805e+00 4.66793613e-01 1.95376940e+00 2.18148691e+00 # 5.77606908e-02 2.46255140e-01] # [6.17537874e-01 6.65696136e-01 2.27443285e-01 3.30970507e-01 # 5.85136215e-01 - 1.00000000e+00 2.39069293e-01 3.30410597e-01 # 1.21578381e+00 3.25195110e-01 1.36110743e+00 1.51974846e+00 # 4.02393985e-02 1.71555405e-01] # [2.31567998e-01 2.49626667e-01 8.52880256e-02 1.24109275e-01 # 2.19417832e-01 2.01995810e-01 - 1.00000000e+00 1.23899316e-01 # 4.55901789e-01 1.21943582e-01 5.10396098e-01 5.69884250e-01 # 1.50892072e-02 6.43308585e-02] # [1.68174721e+00 1.81289710e+00 6.19398623e-01 9.01335366e-01 # 1.59350744e+00 1.46698116e+00 6.51059851e-01 - 1.00000000e+00 # 3.31095647e+00 8.85607170e-01 3.70671778e+00 4.13874653e+00 # 1.09584366e-01 4.67198589e-01] # [1.81548791e+00 1.95706747e+00 6.68656207e-01 9.73013928e-01 # 1.72023088e+00 1.58364262e+00 7.02835289e-01 9.71367859e-01 # - 1.00000000e+00 9.56034948e-01 4.00149396e+00 4.46787974e+00 # 1.18299046e-01 5.04352487e-01] # [3.39180759e+00 3.65631535e+00 1.24922518e+00 1.81784523e+00 # 3.21384249e+00 2.95865979e+00 1.31308067e+00 1.81476994e+00 # 6.67765480e+00 - 1.00000000e+00 7.47584027e+00 8.34717123e+00 # 2.21013647e-01 9.42262733e-01] # [3.80108803e+00 4.09751324e+00 1.39996587e+00 2.03719980e+00 # 3.60164835e+00 3.31567343e+00 1.47152663e+00 2.03375342e+00 # 7.48342971e+00 2.00165090e+00 - 1.00000000e+00 9.35440226e+00 # 2.47682778e-01 1.05596308e+00] # [1.92350407e-01 2.07350720e-01 7.08439274e-02 1.03090538e-01 # 1.82257953e-01 1.67786468e-01 7.44651911e-02 1.02916137e-01 # 3.78691769e-01 1.01291620e-01 4.23957102e-01 - 1.00000000e+00 # 1.25337489e-02 5.34359969e-02] # [3.30800641e-01 3.56597899e-01 1.21836065e-01 1.77293184e-01 # 3.13443828e-01 2.88556037e-01 1.28063846e-01 1.76993253e-01 # 6.51267039e-01 1.74199439e-01 7.29113514e-01 8.14093818e-01 # - 1.00000000e+00 9.18982306e-02] # [6.67661381e-01 7.19728489e-01 2.45904104e-01 3.57834288e-01 # 6.32629787e-01 5.82398272e-01 2.58473757e-01 3.57228932e-01 # 1.31446496e+00 3.51590122e-01 1.47158401e+00 1.64310142e+00 # 4.35054974e-02 - 1.00000000e+00]]

42.693548

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null

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c92176317a4e7da05269c6ed1bd7c66b04ed3492

1,967

py

Python

web/routing.py

stephanos/subtitlevocabulary

f452d7f35468912fe3967cfcf81c8f65cab345ec

[ "MIT" ]

19

2017-04-20T00:57:36.000Z

2018-01-06T10:47:38.000Z

web/routing.py

stephanos/subtitlevocabulary

f452d7f35468912fe3967cfcf81c8f65cab345ec

[ "MIT" ]

null

web/routing.py

stephanos/subtitlevocabulary

f452d7f35468912fe3967cfcf81c8f65cab345ec

[ "MIT" ]

3

2018-01-01T06:27:48.000Z

2020-04-09T17:21:28.000Z

import os import jinja2 from flask_json import as_json from web.routes.api_analysis import analysis_api from web.routes.api_search import search_api from web.routes.api_word import words_api from web.routes.bootstrap import bootstrap from web.routes.error import error from api.dictionary.wordnik import Wordnik from api.subtitle.opensubtitles import OpenSubtitles from api.poster.fanart import FanArt from domain.analyse import Analyser from domain.corpus import Corpus, CorpusDatabase from domain.load import Loader from domain.parse import Parser from domain.search import Searcher TEMPLATE_ROOT = 'templates' def create_routes(app): app.jinja_loader = jinja2.FileSystemLoader(os.path.join(os.getcwd(), TEMPLATE_ROOT)) opensubtitle_credentials = (app.config['OPENSUBTITLES_USER'], app.config['OPENSUBTITLES_PASS']) subtitle_api = OpenSubtitles(opensubtitle_credentials) fanart_key = app.config['FANART_TV_KEY'] poster_api = FanArt(fanart_key) wordnik_key = app.config['WORDNIK_KEY'] wordnik_api = Wordnik(wordnik_key) searcher = Searcher(subtitle_api, poster_api) corpus = Corpus(CorpusDatabase.FULL) loader = Loader(subtitle_api) parser = Parser() analyser = Analyser(loader, parser, corpus) @app.route('/') def home_route(): return bootstrap() @app.route('/m/<id>') def analysis_route(id): return bootstrap() @app.route('/m/<id>/w/<word>') def word_route(id, word): return bootstrap() @app.route('/error') def error_route(): return error() @app.route('/api/search/<query>') @as_json def search_api_route(query): return search_api(searcher, query) @app.route('/api/analysis/<id>') @as_json def analysis_api_route(id): return analysis_api(analyser, poster_api, id) @app.route('/api/words/<token>') @as_json def words_api_route(token): return words_api(wordnik_api, token)

26.226667

99

0.719878

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1,967

5.265385

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0

0.001231

0.173869

1,967

74

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26.581081

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false

0.018519

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0.574074

0

null

0

null

0

1

0

2

c922ef7067aac258a4e4cf3f6851f864d5293346

400

py

Python

auv_control_pi/admin.py

adrienemery/auv-control-pi

633fe89b652b07eb6ebe03c0550daa211b122297

[ "MIT" ]

9

2016-10-02T06:59:37.000Z

2020-09-24T15:36:10.000Z

auv_control_pi/admin.py

adrienemery/auv-control-pi

633fe89b652b07eb6ebe03c0550daa211b122297

[ "MIT" ]

null

auv_control_pi/admin.py

adrienemery/auv-control-pi

633fe89b652b07eb6ebe03c0550daa211b122297

[ "MIT" ]

4

2019-01-12T23:09:34.000Z

2020-11-05T14:52:42.000Z

from django.contrib import admin from django.contrib.auth.models import User from django.contrib.auth.models import Group from solo.admin import SingletonModelAdmin from .models import Configuration, AUVLog admin.site.register(Configuration, SingletonModelAdmin) admin.site.register(AUVLog, admin.ModelAdmin) # remove auth models from admin admin.site.unregister(User) admin.site.unregister(Group)

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1

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true

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0

null

0

null

0

1

0

1

0

2

c92fd7f7ddcd94ac83d53a72a22847708de6dd65

848

py

Python

tests/0100_utils/05_display_settings.py

sveetch/Optimus

983aebeccd2ada7a5a0ab96f9296d4bba1112022

[ "MIT" ]

2

2019-05-31T00:23:15.000Z

2021-04-26T07:26:16.000Z

tests/0100_utils/05_display_settings.py

sveetch/Optimus

983aebeccd2ada7a5a0ab96f9296d4bba1112022

[ "MIT" ]

27

2015-04-21T14:43:26.000Z

2022-01-29T00:42:53.000Z

tests/0100_utils/05_display_settings.py

sveetch/Optimus

983aebeccd2ada7a5a0ab96f9296d4bba1112022

[ "MIT" ]

1

2017-05-21T17:32:28.000Z

from optimus.utils import display_settings class DummySettings(object): """ Empty settings object """ def __init__(self): pass def test_basic(caplog): """ Basic initialize without ressources to sync """ conf = DummySettings() conf.STRING = "ok" conf.INTEGER = 42 conf.SEQ = [1, "hello", 42] conf.MAP = {"hello": "world"} conf.LOOSE = "meh" display_settings(conf, ["STRING", "INTEGER", "SEQ", "MAP", "NOPE"]) # Check base setting directories assert caplog.record_tuples == [ ("optimus", 10, " - Settings.STRING = ok"), ("optimus", 10, " - Settings.INTEGER = 42"), ("optimus", 10, " - Settings.SEQ = [1, 'hello', 42]"), ("optimus", 10, " - Settings.MAP = {'hello': 'world'}"), ("optimus", 10, " - Settings.NOPE = NOT SET"), ]

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848

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848

34

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false

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0

null

0

1

0

null

0

1

0

2

c94e2d081759cfe3cc96c9284717b530cf3294f0

708

py

Python

substratest/assets.py

AurelienGasser/substra-tests

8f64d1b68e9148316e9e83293a4c34580bd18ca4

[ "Apache-2.0" ]

16

2019-10-25T13:34:42.000Z

2020-09-01T13:53:44.000Z

substratest/assets.py

AurelienGasser/substra-tests

8f64d1b68e9148316e9e83293a4c34580bd18ca4

[ "Apache-2.0" ]

96

2019-10-28T12:52:22.000Z

2021-05-18T21:55:47.000Z

substratest/assets.py

AurelienGasser/substra-tests

8f64d1b68e9148316e9e83293a4c34580bd18ca4

[ "Apache-2.0" ]

5

2019-10-25T13:46:48.000Z

2021-02-09T09:40:41.000Z

import enum class AssetType(enum.Enum): algo = enum.auto() aggregate_algo = enum.auto() aggregatetuple = enum.auto() composite_algo = enum.auto() composite_traintuple = enum.auto() data_sample = enum.auto() dataset = enum.auto() objective = enum.auto() node = enum.auto() testtuple = enum.auto() traintuple = enum.auto() compute_plan = enum.auto() @classmethod def all(cls): return [e for e in cls] @classmethod def can_be_get(cls): gettable = cls.all() gettable.remove(cls.data_sample) gettable.remove(cls.node) return gettable @classmethod def can_be_listed(cls): return cls.all()

22.125

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708

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0.769231

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null

1

0

null

0

1

0

2

c95f13943e7506d8e635b14bad6e17522594aa6b

883

py

Python

mfi_customization/mfi/patch/make_serial_no.py

anuradha-88/mfi_customization

eb19ed43d0178b461f1d9914d2f7b6b55c9d030c

[ "MIT" ]

null

mfi_customization/mfi/patch/make_serial_no.py

anuradha-88/mfi_customization

eb19ed43d0178b461f1d9914d2f7b6b55c9d030c

[ "MIT" ]

null

mfi_customization/mfi/patch/make_serial_no.py

anuradha-88/mfi_customization

eb19ed43d0178b461f1d9914d2f7b6b55c9d030c

[ "MIT" ]

null

import frappe def execute(): for i in frappe.get_all('Asset',{'docstatus':1},['location','name','serial_no']): if len(frappe.get_all('Asset Serial No',{'name':i.get("serial_no")})) == 0: if i.get("serial_no"): print("1111",i.get("serial_no")) asset_srl_no = frappe.new_doc("Asset Serial No") asset_srl_no.update({ "name": i.get("serial_no"), "location": i.get("location"), "asset":i.get("name"), "serial_no":i.get("serial_no") }) asset_srl_no.save() # doc = frappe.get_doc('Asset Serial No',{'name':x}) print("******",i.get("serial_no")) #mfi_customization.mfi.patch.make_serial_no.execute

40.136364

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0.458664

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883

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0.133333

0

null

1

0

1

0

null

0

2

c96407c99bcbcc54a359ce20f8e6498f45529b67

520

py

Python

tests/tests_imports/test_single_import.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

tests/tests_imports/test_single_import.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

tests/tests_imports/test_single_import.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

# coding: utf-8 import pytest if __name__ == "__main__": # import os # import sys # sys.path.append(os.path.realpath('..')) pytest.main([__file__]) from tests.import_check import ImportCheck def test_single(): # from ooobuild.lo.document.filter_options_request import FilterOptionsRequest # ns = "ooobuild.lo.document.filter_options_request.FilterOptionsRequest" ns = "ooobuild.lo.ucb.open_command_argument.OpenCommandArgument" imc = ImportCheck() assert imc.load_import(ns) == True

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0.083333

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0.133333

0.211111

0

0.002273

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520

15

83

34.666667

0.815909

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0

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0

0.125

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0.125

false

0

0.5

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0

null

0

null

0

1

0

1

0

2

c96f5948b76dab85a8793eb7ce9654314f52d570

873

py

Python

wolk/interfaces/__init__.py

iperformance/WolkConnect-Python

35c86511f5bb9d47d8ed98ad7623d2ef7ba061e3

[ "Apache-2.0" ]

null

wolk/interfaces/__init__.py

iperformance/WolkConnect-Python

35c86511f5bb9d47d8ed98ad7623d2ef7ba061e3

[ "Apache-2.0" ]

null

wolk/interfaces/__init__.py

iperformance/WolkConnect-Python

35c86511f5bb9d47d8ed98ad7623d2ef7ba061e3

[ "Apache-2.0" ]

null

from .ActuationHandler import ActuationHandler from .ActuatorStatusProvider import ActuatorStatusProvider from .ConfigurationHandler import ConfigurationHandler from .ConfigurationProvider import ConfigurationProvider from .ConnectivityService import ConnectivityService from .FirmwareInstaller import FirmwareInstaller from .FirmwareURLDownloadHandler import FirmwareURLDownloadHandler from .InboundMessageDeserializer import InboundMessageDeserializer from .OutboundMessageFactory import OutboundMessageFactory from .OutboundMessageQueue import OutboundMessageQueue __all__ = [ "ActuationHandler", "ActuatorStatusProvider", "ConfigurationHandler", "ConfigurationProvider", "ConnectivityService", "FirmwareInstaller", "FirmwareURLDownloadHandler", "InboundMessageDeserializer", "OutboundMessageFactory", "OutboundMessageQueue", ]

34.92

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873

14.313725

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0

0.109966

873

24

67

36.375

0.939511

0

0.239404

0.134021

0

1

0

false

0

0.454545

0

0.454545

0

1

null

0

null

0

1

0

2

c9703ef2605f4a86541cb07083dc8e85a029ce88

3,121

py

Python

snippets/sign-madio.py

liushuaikobe/ConfigAndSnippets

142fbc727510e7b51fa1069ac6f3865de228edcb

[ "MIT" ]

null

snippets/sign-madio.py

liushuaikobe/ConfigAndSnippets

142fbc727510e7b51fa1069ac6f3865de228edcb

[ "MIT" ]

null

snippets/sign-madio.py

liushuaikobe/ConfigAndSnippets

142fbc727510e7b51fa1069ac6f3865de228edcb

[ "MIT" ]

null

# -*- coding: utf-8 -*- ''' Created on 2012-11-18 @author: liushuai ''' import urllib, urllib2, cookielib, re class LoginMadio: login_header = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.4 (KHTML, like Gecko) Chrome/22.0.1229.79 Safari/537.4'} signin_header = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.4 (KHTML, like Gecko) Chrome/22.0.1229.79 Safari/537.4','Referer':'http://www.madio.net','Origin':'http://www.madio.net'} username = '' password = '' formhash = '' cookie = None cookieFile = "./LoginMadio_Cookie.dat" def __init__(self, uname, pwd): self.username = uname self.password = pwd self.cookie = cookielib.LWPCookieJar() opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(self.cookie)) urllib2.install_opener(opener) def login(self): postdata = {'username':self.username, 'password':self.password, 'quickforward':'yes', 'handlekey':'ls'} postdata = urllib.urlencode(postdata) print self.username, 'is Logining...' req = urllib2.Request(url='http://www.madio.net/member.php?mod=logging&action=login&loginsubmit=yes&infloat=yes&lssubmit=yes&inajax=1', data=postdata, headers=self.login_header) result = urllib2.urlopen(req).read() self.cookie.save(self.cookieFile) if '登录失败' in result or '密码错误' in result: print self.username,'login failed,please try later...' else : print self.username,'login successfully!' req_after_logining = urllib2.Request('http://www.madio.net/') html = urllib2.urlopen(req_after_logining).read() raw_str = str(re.search(r'<input type="hidden" name="formhash" value="\w+" />',html).group()) raw_value = str(re.search(r'value="\w+"',raw_str).group()) self.formhash = raw_value[7:len(raw_value) - 1] #print self.formhash def signin(self): postdata = {'formhash':self.formhash,'qdxq':'kx','qdmode':3,'todaysay':'','fastreply':1} postdata = urllib.urlencode(postdata) print self.username,'is signing...' req = urllib2.Request(url = 'http://www.madio.net/plugin.php?id=dsu_paulsign:sign&operation=qiandao&infloat=1&sign_as=1&inajax=1',data=postdata,headers=self.signin_header) result = urllib2.urlopen(req).read() self.cookie.save(self.cookieFile) if re.search(r'体力 \d+ 点',result) == None: print self.username,'sign in failed!Maybe you have signed in today or some other reasons...' else : raw_earn = str(re.search(r'体力 \d+ 点',result).group()) earn = str(re.search(r'\d+',raw_earn).group()) print self.username,'signed in successfully,you earn',earn,'points...' if __name__ == '__main__': users = {"liushuaikobe1993@163.com":"XXX","zouliping007@163.com":"XXX","xxxpph@qq.com":"XXX"} for userName in users: user = LoginMadio(userName,users[userName]) user.login() user.signin() print '-' * 60 raw_input('Press Enter to terminate...')

48.015385

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0.156218

0

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3,121

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0

null

0

null

0

1

0

1

0

2

a335611ad6fc4dc915bec7b845089fcaff31bfe6

4,540

py

Python

django/peering_coord/custom_fields.py

netsys-lab/scion-peering-coordinator

cd2fc9e9423242cafe90e71a54f4ad9e763acdae

[ "MIT" ]

null

django/peering_coord/custom_fields.py

netsys-lab/scion-peering-coordinator

cd2fc9e9423242cafe90e71a54f4ad9e763acdae

[ "MIT" ]

null

django/peering_coord/custom_fields.py

netsys-lab/scion-peering-coordinator

cd2fc9e9423242cafe90e71a54f4ad9e763acdae

[ "MIT" ]

null

"""Custom Django model fields""" import ipaddress from typing import Optional, Union from django.db import models from django.core.exceptions import ValidationError from django.forms import CharField from peering_coord.scion_addr import ASN IpAddress = Union[ipaddress.IPv4Address, ipaddress.IPv6Address] IpNetwork = Union[ipaddress.IPv4Network, ipaddress.IPv6Network] class AsnField(models.Field): """Model field holding an AS number. ASNs are stored as 64-bit integersin the DB.""" description = "AS number" def get_internal_type(self): return "BigIntegerField" def formfield(self, **kwargs): defaults = {'form_class': CharField} defaults.update(kwargs) return super().formfield(**defaults) def from_db_value(self, value: Optional[int], expression, connection) -> Optional[ASN]: if value is None: return value return ASN(value) def get_prep_value(self, value: ASN) -> int: return int(value) def to_python(self, value: Union[None, int, str, ASN]) -> Optional[ASN]: if isinstance(value, ASN): return value if value is None: return value try: return ASN(value) except ValueError as e: raise ValidationError("Invalid AS number: '%(value)s'. Error: %(msg)s", code='invalid_asn', params={'value': value, 'msg': str(e)}) class IpAddressField(models.Field): """IPv4/6 address as ipaddress.IPv4Address or ipaddress.IPv6Address. Stored in the DB as char(39). """ description = "IP address" def db_type(self, connection): return 'char(39)' def formfield(self, **kwargs): defaults = {'form_class': CharField} defaults.update(kwargs) return super().formfield(**defaults) def from_db_value(self, value: Optional[str], expression, connection) -> Optional[IpAddress]: if value is None: return value # FIXME: rstrip is required to make this work with Postgres for some reason return ipaddress.ip_address(value.rstrip()) def get_prep_value(self, value: IpAddress) -> str: return value.exploded def value_to_string(self, obj) -> str: return self.get_prep_value(self.value_from_object(obj)) def to_python(self, value: Union[None, str, IpAddress]) -> Optional[IpAddress]: if isinstance(value, ipaddress.IPv4Address) or isinstance(value, ipaddress.IPv6Address): return value if value is None: return value try: return ipaddress.ip_address(value) except ValueError as e: raise ValidationError("Invalid IP address: '%(value)s'. Error: %(msg)s", code='invalid_ip', params={'value': value, 'msg': str(e)}) class IpNetworkField(models.Field): """IPv4/6 network definition as ipaddress.IPv4Network or ipaddress.IPv6Network. Stored in the DB as char(48). """ description = "IP network" def db_type(self, connection): return 'char(48)' def formfield(self, **kwargs): defaults = {'form_class': CharField} defaults.update(kwargs) return super().formfield(**defaults) def from_db_value(self, value: Optional[str], expression, connection) -> Optional[IpNetwork]: if value is None: return value # FIXME: rstrip is required to make this work with Postgres for some reason return ipaddress.ip_network(value.rstrip()) def get_prep_value(self, value: IpNetwork) -> str: return value.exploded def value_to_string(self, obj) -> str: return self.get_prep_value(self.value_from_object(obj)) def to_python(self, value: Union[None, str, IpAddress]) -> Optional[IpNetwork]: if isinstance(value, ipaddress.IPv4Network) or isinstance(value, ipaddress.IPv6Network): return value if value is None: return value try: return ipaddress.ip_network(value) except ValueError as e: raise ValidationError("Invalid IP network definition: '%(value)s'. Error: %(msg)s", code='invalid_ip', params={'value': value, 'msg': str(e)}) class L4PortField(models.IntegerField): """L4 port number.""" description = "L4 port" def validate(self, value, model_instance): if value < 0 or value >= 2**16: raise ValidationError("Invalid L4 port: %(value)d", code='invalid_port', params={'value': value})

34.135338

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4,540

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0.038808

0.027027

0.58316

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0.49203

0.450104

0.413375

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0.009924

0.245374

4,540

132

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null

0

null

0

1

0

1

0

2

a33f381e4e9d104ca2777f1274143dd1bf91483d

23,470

py

Python

jb/EDA-DS1.py

james-w-balcomb/kaggle--home-credit-default-risk

b8346ba1640c42daf8457588f7fadd81ded74b8f

[ "Apache-2.0" ]

4

2018-06-13T14:47:35.000Z

2022-02-05T09:46:11.000Z

jb/EDA-DS1.py

james-w-balcomb/kaggle--home-credit-default-risk

b8346ba1640c42daf8457588f7fadd81ded74b8f

[ "Apache-2.0" ]

null

jb/EDA-DS1.py

james-w-balcomb/kaggle--home-credit-default-risk

b8346ba1640c42daf8457588f7fadd81ded74b8f

[ "Apache-2.0" ]

2

2018-06-04T00:43:56.000Z

2022-02-05T14:58:44.000Z

# coding: utf-8 # In[ ]: get_ipython().run_line_magic('run', 'NB03-EDA-MetaData-Check.ipynb') # In[ ]: # Columns where ‘Count of Unique Values Per Column’ is 2 for column_name in df_columns_number_of_unique_values: if df_columns_number_of_unique_values[column_name] == 2: print (column_name, 'dtype: ', df[column_name].dtype) # # Dichotomous? (AKA binary / boolean) # Columns where ‘Count of Unique Values Per Column’ is 2 # # ### Dichotomous: # # FLAG_CONT_MOBILE # FLAG_DOCUMENT_2 # FLAG_DOCUMENT_3 # FLAG_DOCUMENT_4 # FLAG_DOCUMENT_5 # FLAG_DOCUMENT_6 # FLAG_DOCUMENT_7 # FLAG_DOCUMENT_8 # FLAG_DOCUMENT_9 # FLAG_DOCUMENT_10 # FLAG_DOCUMENT_11 # FLAG_DOCUMENT_12 # FLAG_DOCUMENT_13 # FLAG_DOCUMENT_14 # FLAG_DOCUMENT_15 # FLAG_DOCUMENT_16 # FLAG_DOCUMENT_17 # FLAG_DOCUMENT_18 # FLAG_DOCUMENT_19 # FLAG_DOCUMENT_20 # FLAG_DOCUMENT_21 # FLAG_EMAIL # FLAG_EMP_PHONE # FLAG_MOBIL # FLAG_OWN_CAR # FLAG_OWN_REALTY # FLAG_PHONE # FLAG_WORK_PHONE # LIVE_CITY_NOT_WORK_CITY # LIVE_REGION_NOT_WORK_REGION # NAME_CONTRACT_TYPE # REG_CITY_NOT_LIVE_CITY # REG_CITY_NOT_WORK_CITY # REG_REGION_NOT_LIVE_REGION # REG_REGION_NOT_WORK_REGION # # ### Polychotomous # EMERGENCYSTATE_MODE # # ### Non-Model # TARGET # In[ ]: df_dichotomous_column_names = [ 'FLAG_CONT_MOBILE', 'FLAG_DOCUMENT_2', 'FLAG_DOCUMENT_3', 'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5', 'FLAG_DOCUMENT_6', 'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8', 'FLAG_DOCUMENT_9', 'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11', 'FLAG_DOCUMENT_12', 'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14', 'FLAG_DOCUMENT_15', 'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17', 'FLAG_DOCUMENT_18', 'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20', 'FLAG_DOCUMENT_21', 'FLAG_EMAIL', 'FLAG_EMP_PHONE', 'FLAG_MOBIL', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY', 'FLAG_PHONE', 'FLAG_WORK_PHONE', 'LIVE_CITY_NOT_WORK_CITY', 'LIVE_REGION_NOT_WORK_REGION', 'NAME_CONTRACT_TYPE', 'REG_CITY_NOT_LIVE_CITY', 'REG_CITY_NOT_WORK_CITY', 'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION' ] # In[ ]: for column_name in df_dichotomous_column_names: if df_columns_number_of_unique_values[column_name] == 2: print(df[column_name].value_counts(dropna=False, sort=True)) print(df[column_name].value_counts(dropna=False, normalize=True, sort=True)) # # NOT 0/1 # # ### FLAG_OWN_CAR # N 202924 (0.659892) # Y 104587 (0.340108) # # ### FLAG_OWN_REALTY # Y 213312 (0.693673) # N 94199 (0.306327) # # ### NAME_CONTRACT_TYPE # Cash loans 278232 (0.904787) # Revolving loans 29279 (0.095213) # NOTE: This is to be *converted* to a boolean, a la dummy coded, with "Cash loans" as the reference category. # In[ ]: df['FLAG_OWN_CAR'] = pd.Series(np.where(df['FLAG_OWN_CAR'].values == 'Y', 1, 0), df.index) df['FLAG_OWN_CAR'].value_counts(dropna=False, sort=True) # In[ ]: df['FLAG_OWN_REALTY'] = pd.Series(np.where(df['FLAG_OWN_REALTY'].values == 'Y', 1, 0), df.index) df['FLAG_OWN_REALTY'].value_counts(dropna=False, sort=True) # In[ ]: #df['NAME_CONTRACT_TYPE__Revolving_loans'] = pd.Series(np.where(df['NAME_CONTRACT_TYPE'].values == 'Revolving loans', 1, 0), df.index) #df.drop('NAME_CONTRACT_TYPE', axis=1) df.rename(columns={'NAME_CONTRACT_TYPE': 'NAME_CONTRACT_TYPE__Revolving_loans'}, inplace=True) #df = df.rename(columns={'NAME_CONTRACT_TYPE': 'NAME_CONTRACT_TYPE__Revolving_loans'}) df['NAME_CONTRACT_TYPE__Revolving_loans'] = pd.Series(np.where(df['NAME_CONTRACT_TYPE__Revolving_loans'].values == 'Revolving loans', 1, 0), df.index) df['NAME_CONTRACT_TYPE__Revolving_loans'].value_counts(dropna=False, sort=True) # In[ ]: # Columns where ‘Count of Unique Values Per Column’ is 3 for column_name in df_columns_number_of_unique_values: if df_columns_number_of_unique_values[column_name] == 3: print (column_name, 'dtype: ', df[column_name].dtype) # In[ ]: # Columns where ‘Count of Unique Values Per Column’ is 3 for column_name in df_columns_number_of_unique_values: if df_columns_number_of_unique_values[column_name] == 3: print(df[column_name].value_counts(dropna=False, sort=True)) print(df[column_name].value_counts(dropna=False, normalize=True, sort=True)) # ### CODE_GENDER # Looks like we should deal with those four records with a missing value place-holder and convert it to a boolean, with "F" as the reference level. # # ### HOUSETYPE_MODE # Not sure what is going on with this one. A little EDA provided no indication of pattern to the missingness. # It seems likely that this is Missing Not At Random (MNAR) and, therefore, we should dig deeper. # For now, moving forward with replacing the missing values with "MISSING" and treating it as "Unknown/Not Provided". # # ### REGION_RATING_CLIENT # This should be treated as a Categorical - Ordinal variable. # Check this relationship between this and REGION_RATING_CLIENT_W_CITY. # # ### REGION_RATING_CLIENT_W_CITY # This should be treated as a Categorical - Ordinal variable. # Check this relationship between this and REGION_RATING_CLIENT. # # CODE_GENDER # In[ ]: df.loc[df.SK_ID_CURR == 141289, 'CODE_GENDER'] = 'F' df.loc[df.SK_ID_CURR == 319880, 'CODE_GENDER'] = 'F' df.loc[df.SK_ID_CURR == 196708, 'CODE_GENDER'] = 'F' df.loc[df.SK_ID_CURR == 144669, 'CODE_GENDER'] = 'M' # # HOUSETYPE_MODE # # REGION_RATING_CLIENT # # REGION_RATING_CLIENT_W_CITY # In[ ]: df[(df['FLAG_OWN_CAR'] == 0) & (df['OWN_CAR_AGE'].notnull())] # In[ ]: df[(df['FLAG_OWN_CAR'] == 1) & (df['OWN_CAR_AGE'].isnull())] # In[ ]: df[(df['FLAG_OWN_REALTY'] == 0) & (df['HOUSETYPE_MODE'].notnull())] # In[ ]: df[(df['FLAG_OWN_REALTY'] == 1) & (df['HOUSETYPE_MODE'].isnull())] # # Correlation # In[ ]: print(df['EXT_SOURCE_1'].corr(df['EXT_SOURCE_2'], method='pearson')) print(df['EXT_SOURCE_1'].corr(df['EXT_SOURCE_2'], method='spearman')) print(df['EXT_SOURCE_1'].corr(df['EXT_SOURCE_2'], method='kendall')) # In[ ]: print(df['EXT_SOURCE_2'].corr(df['EXT_SOURCE_3'], method='pearson')) print(df['EXT_SOURCE_2'].corr(df['EXT_SOURCE_3'], method='spearman')) print(df['EXT_SOURCE_2'].corr(df['EXT_SOURCE_3'], method='kendall')) # In[ ]: print(df['EXT_SOURCE_3'].corr(df['EXT_SOURCE_1'], method='pearson')) print(df['EXT_SOURCE_3'].corr(df['EXT_SOURCE_1'], method='spearman')) print(df['EXT_SOURCE_3'].corr(df['EXT_SOURCE_1'], method='kendall')) # In[ ]: print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_1'], method='pearson')) print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_1'], method='spearman')) print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_1'], method='kendall')) # In[ ]: print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_2'], method='pearson')) print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_2'], method='spearman')) print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_2'], method='kendall')) # In[ ]: print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_3'], method='pearson')) print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_3'], method='spearman')) print(df['AMT_INCOME_TOTAL'].corr(df['EXT_SOURCE_3'], method='kendall')) # In[ ]: tmp_df = df[['TARGET', 'EXT_SOURCE_1']] tmp_df = tmp_df.dropna() tmp_df['TARGET'] = pd.to_numeric(tmp_df['TARGET'], errors='coerce') print(tmp_df['TARGET'].dtype) tmp_df['EXT_SOURCE_1'] = pd.to_numeric(tmp_df['EXT_SOURCE_1'], errors='coerce') print(tmp_df['EXT_SOURCE_1'].dtype) print(pointbiserialr(tmp_df['TARGET'], tmp_df['EXT_SOURCE_1'])) # In[ ]: tmp_df = df[['TARGET', 'EXT_SOURCE_2']] tmp_df = tmp_df.dropna() pointbiserialr(tmp_df['TARGET'], tmp_df['EXT_SOURCE_2']) # In[ ]: tmp_df = df[['TARGET', 'EXT_SOURCE_3']] tmp_df = tmp_df.dropna() pointbiserialr(tmp_df['TARGET'], tmp_df['EXT_SOURCE_3']) # In[ ]: tmp_df = df[['TARGET', 'AMT_INCOME_TOTAL']] tmp_df = tmp_df.dropna() pointbiserialr(tmp_df['TARGET'], tmp_df['AMT_INCOME_TOTAL']) # In[ ]: sns.boxplot(x=df['AMT_INCOME_TOTAL']); # In[ ]: #sns.boxplot(x='TARGET', y='AMT_INCOME_TOTAL', data=df); # In[ ]: #az = sns.boxplot(x='TARGET', y='AMT_INCOME_TOTAL', data=df); #az = sns.swarmplot(x='TARGET', y='AMT_INCOME_TOTAL', data=df, color='0.25'); # In[ ]: sns.violinplot(x='TARGET', y='AMT_INCOME_TOTAL', data=df, scale='count'); # In[ ]: print(df['AMT_INCOME_TOTAL'].min()) print(df['AMT_INCOME_TOTAL'].max()) print(df['AMT_INCOME_TOTAL'].mean()) print(df['AMT_INCOME_TOTAL'].median()) # In[ ]: print(np.percentile(df['AMT_INCOME_TOTAL'], 10)) print(np.percentile(df['AMT_INCOME_TOTAL'], 20)) print(np.percentile(df['AMT_INCOME_TOTAL'], 30)) print(np.percentile(df['AMT_INCOME_TOTAL'], 40)) print(np.percentile(df['AMT_INCOME_TOTAL'], 50)) print(np.percentile(df['AMT_INCOME_TOTAL'], 60)) print(np.percentile(df['AMT_INCOME_TOTAL'], 70)) print(np.percentile(df['AMT_INCOME_TOTAL'], 80)) print(np.percentile(df['AMT_INCOME_TOTAL'], 90)) # In[ ]: tmp_percentile_count_boundaries = list() tmp_percentile_count_boundaries.append(df['AMT_INCOME_TOTAL'].min() - 1) for iter in range(10,100,10): tmp_percentile_count_boundaries.append(np.percentile(df['AMT_INCOME_TOTAL'], iter)) tmp_percentile_count_boundaries.append(df['AMT_INCOME_TOTAL'].max() + 1) sorted(tmp_percentile_count_boundaries) # In[ ]: tmp_percentile_10th = np.percentile(df['AMT_INCOME_TOTAL'], 10) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] <= tmp_percentile_10th)].count()) tmp_percentile_10th # In[ ]: column_name = 'AMT_INCOME_TOTAL' print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[0]) & (df[column_name] <= tmp_percentile_count_boundaries[1])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[1]) & (df[column_name] <= tmp_percentile_count_boundaries[2])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[2]) & (df[column_name] <= tmp_percentile_count_boundaries[3])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[3]) & (df[column_name] <= tmp_percentile_count_boundaries[4])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[4]) & (df[column_name] <= tmp_percentile_count_boundaries[5])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[5]) & (df[column_name] <= tmp_percentile_count_boundaries[6])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[6]) & (df[column_name] <= tmp_percentile_count_boundaries[7])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[7]) & (df[column_name] <= tmp_percentile_count_boundaries[8])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[8]) & (df[column_name] <= tmp_percentile_count_boundaries[9])].count()) print(df[column_name][(df[column_name] >= tmp_percentile_count_boundaries[9]) & (df[column_name] <= tmp_percentile_count_boundaries[10])].count()) # In[ ]: print(np.percentile(df['AMT_INCOME_TOTAL'], 1)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] <= np.percentile(df['AMT_INCOME_TOTAL'], 1))].count()[0]) print(np.percentile(df['AMT_INCOME_TOTAL'], 99)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] >= np.percentile(df['AMT_INCOME_TOTAL'], 99))].count()[0]) # In[ ]: print(np.percentile(df['AMT_INCOME_TOTAL'], 0.1)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] <= np.percentile(df['AMT_INCOME_TOTAL'], 0.1))].count()[0]) print(np.percentile(df['AMT_INCOME_TOTAL'], 99.9)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] >= np.percentile(df['AMT_INCOME_TOTAL'], 99.9))].count()[0]) # In[ ]: print(np.percentile(df['AMT_INCOME_TOTAL'], 0.01)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] <= np.percentile(df['AMT_INCOME_TOTAL'], 0.01))].count()[0]) print(np.percentile(df['AMT_INCOME_TOTAL'], 99.99)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] >= np.percentile(df['AMT_INCOME_TOTAL'], 99.99))].count()[0]) # In[ ]: print(np.percentile(df['AMT_INCOME_TOTAL'], 0.001)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] <= np.percentile(df['AMT_INCOME_TOTAL'], 0.001))].count()[0]) print(np.percentile(df['AMT_INCOME_TOTAL'], 99.999)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] >= np.percentile(df['AMT_INCOME_TOTAL'], 99.999))].count()[0]) # In[ ]: print(np.percentile(df['AMT_INCOME_TOTAL'], 0.0001)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] <= np.percentile(df['AMT_INCOME_TOTAL'], 0.0001))].count()[0]) print(np.percentile(df['AMT_INCOME_TOTAL'], 99.9999)) print(df[['AMT_INCOME_TOTAL']][(df['AMT_INCOME_TOTAL'] >= np.percentile(df['AMT_INCOME_TOTAL'], 99.9999))].count()[0]) # In[ ]: column_name = 'AMT_INCOME_TOTAL' # In[ ]: df[column_name].dtype # In[ ]: print(df[column_name].min()) print(df[column_name].max()) # In[ ]: np.histogram(df[column_name]) # In[ ]: plt.hist(df[column_name]) # In[ ]: plt.hist(df[column_name]) plt.ticklabel_format(style='plain', axis='x') plt.show() # In[ ]: plt.hist(df[column_name], bins=[0,10000,100000,1000000,10000000,120000000]) plt.ticklabel_format(style='plain', axis='x') plt.show() # In[ ]: # An "interface" to matplotlib.axes.Axes.hist() method n, bins, patches = plt.hist(x=df[column_name], bins='auto', color='#0504aa', alpha=0.7, rwidth=0.85) plt.grid(axis='y', alpha=0.75) plt.xlabel('Value') plt.ylabel('Frequency') plt.title('Histogram of ' + column_name) #plt.text(23, 45, r'$\mu=15, b=3$') maxfreq = n.max() # Set a clean upper y-axis limit. plt.ylim(ymax=np.ceil(maxfreq / 10) * 10 if maxfreq % 10 else maxfreq + 10) plt.show() # In[ ]: # An "interface" to matplotlib.axes.Axes.hist() method n, bins, patches = plt.hist(x=df[column_name], bins=10, color='#0504aa', alpha=0.7, rwidth=0.85) plt.grid(axis='y', alpha=0.75) plt.xlabel('Value') plt.ylabel('Frequency') plt.title('Histogram of ' + column_name) #plt.text(23, 45, r'$\mu=15, b=3$') maxfreq = n.max() # Set a clean upper y-axis limit. plt.ylim(ymax=np.ceil(maxfreq / 10) * 10 if maxfreq % 10 else maxfreq + 10) plt.show() # In[ ]: plt.hist(df[column_name], bins=30, normed=True, alpha=0.5, histtype='stepfilled', color='steelblue', edgecolor='none') #plt.ticklabel_format(useOffset=False, style='plain', axis='both') #plt.ticklabel_format(style='plain', axis='both') #plt.ticklabel_format(style='plain', axis='x') plt.show() # In[ ]: df[column_name].plot.hist(grid=True, bins=20, rwidth=0.9, color='#607c8e') plt.title('Histogram of ' + column_name) plt.xlabel('Value') plt.ylabel('Frequency') plt.grid(axis='y', alpha=0.75) plt.ticklabel_format(style='plain', axis='x') plt.show() # In[ ]: sp.stats.skew(df[column_name]) # In[ ]: sp.stats.kurtosis(df[column_name]) # In[ ]: df[column_name].max() # In[ ]: df[df[column_name] == 117000000.0] # SK_ID_CURR # 114967 # In[ ]: df[[column_name]][df[column_name] != 117000000.0].max() # In[ ]: #plt.hist(df[[column_name]][df[column_name] != 117000000.0]) #plt.ticklabel_format(style='plain', axis='x') #plt.show() #> --------------------------------------------------------------------------- #> AttributeError Traceback (most recent call last) #> ~\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in ticklabel_format(self, **kwargs) #> 2567 if axis == 'both' or axis == 'x': #> -> 2568 self.xaxis.major.formatter.set_scientific(sb) #> 2569 if axis == 'both' or axis == 'y': #> #> AttributeError: 'StrCategoryFormatter' object has no attribute 'set_scientific' #> #> During handling of the above exception, another exception occurred: #> #> AttributeError Traceback (most recent call last) #> <ipython-input-42-c0b04d2067b5> in <module>() #> 1 plt.hist(df[[column_name]][df[column_name] != 117000000.0]) #> ----> 2 plt.ticklabel_format(style='plain', axis='x') #> 3 plt.show() #> #> ~\Anaconda3\lib\site-packages\matplotlib\pyplot.py in ticklabel_format(**kwargs) #> 3749 @docstring.copy_dedent(Axes.ticklabel_format) #> 3750 def ticklabel_format(**kwargs): #> -> 3751 ret = gca().ticklabel_format(**kwargs) #> 3752 return ret #> 3753 #> #> ~\Anaconda3\lib\site-packages\matplotlib\axes\_base.py in ticklabel_format(self, **kwargs) #> 2591 except AttributeError: #> 2592 raise AttributeError( #> -> 2593 "This method only works with the ScalarFormatter.") #> 2594 #> 2595 def locator_params(self, axis='both', tight=None, **kwargs): #> #> AttributeError: This method only works with the ScalarFormatter. # In[ ]: df[df['SK_ID_CURR'] == '114967']['AMT_INCOME_TOTAL'] #> 12840 117000000.0 #> Name: AMT_INCOME_TOTAL, dtype: float64 # In[ ]: df.loc[df.SK_ID_CURR == '114967', 'AMT_INCOME_TOTAL'] = 0 # In[ ]: df[df['SK_ID_CURR'] == '114967']['AMT_INCOME_TOTAL'] #> 12840 0.0 #> Name: AMT_INCOME_TOTAL, dtype: float64 # In[ ]: plt.hist(df[column_name]) plt.ticklabel_format(style='plain', axis='x') plt.show() # In[ ]: df[column_name].max() # In[ ]: df[df[column_name] == 18000090.0]['SK_ID_CURR'] #> 203693 336147 #> Name: SK_ID_CURR, dtype: object # In[ ]: df[df['SK_ID_CURR'] == '336147']['AMT_INCOME_TOTAL'] #> 203693 18000090.0 #> Name: AMT_INCOME_TOTAL, dtype: float64 # In[ ]: df.loc[df.SK_ID_CURR == '336147', 'AMT_INCOME_TOTAL'] = 0 # In[ ]: df[df['SK_ID_CURR'] == '336147']['AMT_INCOME_TOTAL'] #> 203693 0.0 #> Name: AMT_INCOME_TOTAL, dtype: float64 # In[ ]: plt.hist(df[column_name]) plt.ticklabel_format(style='plain', axis='x') plt.show() # In[ ]: df[column_name].max() # In[ ]: df[column_name].min() # In[ ]: df[column_name].median() # In[ ]: plt.hist(df[column_name], bins=[0,25650,147150,1000000,120000000]) plt.ticklabel_format(style='plain', axis='x') plt.show() # In[ ]: plt.hist(df[column_name], bins=[0,10000,20000,30000,40000,50000,60000,70000,80000,90000, 100000,110000,120000,130000,140000,150000,160000,170000,180000,190000, 200000,210000,220000,230000,240000,250000,260000,270000,280000,290000, 300000,310000,320000,330000,340000,350000,360000,370000,380000,390000, 400000,410000,420000,430000,440000,450000,460000,470000,480000,490000, 500000,510000,520000,530000,540000,550000,560000,570000,580000,590000, 600000,610000,620000,630000,640000,650000,660000,670000,680000,690000, 700000,710000,720000,730000,740000,750000,760000,770000,780000,790000, 800000,810000,820000,830000,840000,850000,860000,870000,880000,890000, 900000,910000,920000,930000,940000,950000,960000,970000,980000,990000, 1000000]) plt.ticklabel_format(style='plain', axis='x') plt.show() # In[ ]: df['ratio__AMT_CREDIT__ANNUITY_RATIO'] = df['AMT_CREDIT'] / df['AMT_ANNUITY'] # In[ ]: df['ratio__AMT_INCOME_TOTAL__AMT_CREDIT'] = df['AMT_INCOME_TOTAL'] / df['AMT_CREDIT'] # In[ ]: # How much of the price of the good was financed? df['ratio__AMT_CREDIT_AMT_GOODS_PRICE'] = df['AMT_CREDIT'] / df['AMT_GOODS_PRICE'] # In[ ]: DAYS_BIRTH DAYS_EMPLOYED DAYS_ID_PUBLISH DAYS_LAST_PHONE_CHANGE DAYS_REGISTRATION # In[ ]: df['ratio__DAYS_EMPLOYED__DAYS_BIRTH'] = df['DAYS_EMPLOYED'] / df['DAYS_BIRTH'] # In[ ]: df['ratio__DAYS_ID_PUBLISH__DAYS_BIRTH'] = df['DAYS_ID_PUBLISH'] / df['DAYS_BIRTH'] # In[ ]: df['ratio__DAYS_LAST_PHONE_CHANGE__DAYS_BIRTH'] = df['DAYS_LAST_PHONE_CHANGE'] / df['DAYS_BIRTH'] # In[ ]: df['ratio__DAYS_REGISTRATION__DAYS_BIRTH'] = df['DAYS_REGISTRATION'] / df['DAYS_BIRTH'] # In[ ]: flag_document_column_names = [ 'FLAG_DOCUMENT_2', 'FLAG_DOCUMENT_3', 'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5', 'FLAG_DOCUMENT_6', 'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8', 'FLAG_DOCUMENT_9', 'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11', 'FLAG_DOCUMENT_12', 'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14', 'FLAG_DOCUMENT_15', 'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17', 'FLAG_DOCUMENT_18', 'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20', 'FLAG_DOCUMENT_21' ] # In[ ]: df[flag_document_column_names].count(axis=1) # In[ ]: df[flag_document_column_names].sum(axis=1) # In[ ]: df[flag_document_column_names].dtypes # In[ ]: df[flag_document_column_names].astype('int').sum(axis=1) # In[ ]: df['FLAG_DOCUMENT__count'] = df[flag_document_column_names].astype('int').sum(axis=1) # In[ ]: df['FLAG_DOCUMENT__count'] # In[ ]: list(sorted(set(df['CNT_CHILDREN'].values))) # In[ ]: df['CNT_CHILDREN'].value_counts(ascending=True, dropna=False, sort=True) # In[ ]: df['CNT_CHILDREN'].value_counts(ascending=True, dropna=False, normalize=True, sort=True) # # DAYS... # DAYS_BIRTH # DAYS_EMPLOYED # DAYS_ID_PUBLISH # DAYS_LAST_PHONE_CHANGE # DAYS_REGISTRATION # In[ ]: df['DAYS_BIRTH'].min() / 365.25 * -1 # In[ ]: df['DAYS_BIRTH'].max() / 365.25 * -1 # In[ ]: df['DAYS_BIRTH'].value_counts(ascending=True, dropna=False, sort=True) # In[ ]: df['DAYS_BIRTH'].value_counts(ascending=True, dropna=False, normalize=True, sort=True) # In[ ]: df['DAYS_BIRTH'].hist(); # HOUSETYPE_MODE # FLAG_OWN_REALTY # In[ ]: df['HOUSETYPE_MODE'].value_counts(ascending=True, dropna=False, sort=True) # In[ ]: df['FLAG_OWN_REALTY'].value_counts(ascending=True, dropna=False, sort=True) # In[ ]: pd.crosstab(df['FLAG_OWN_REALTY'], df['HOUSETYPE_MODE'], dropna=False) # In[ ]: pd.crosstab(df['HOUSETYPE_MODE'], df['FLAG_OWN_REALTY'], dropna=False) # In[ ]: import scipy.stats as stats # In[ ]: df_crosstab = pd.crosstab(index=df['FLAG_OWN_REALTY'], columns=df['HOUSETYPE_MODE']) print(df_crosstab) odds_ratio, p_value = stats.fisher_exact(df_crosstab) print(odds_ratio) print(p_value) chi_square_statistic, p_value, degrees_of_freedom, expected_frequencies = stats.chi2_contingency(df_crosstab) print(chi_square_statistic) print(p_value) print(degrees_of_freedom) print(expected_frequencies) # In[ ]: df['HOUSETYPE_MODE'].fillna('MISSING', inplace=True) # # Missing Values # # Missing Values Place-Holders # # ### "XNA" # ### 365243 # In[ ]: df[df['CODE_GENDER'] == 'XNA'] # In[ ]: df[df['ORGANIZATION_TYPE'] == 'XNA'] # In[ ]: df[df['DAYS_EMPLOYED'] == 365243] # In[ ]: #df[df['CODE_GENDER'] == 'XNA'] #df[[['SK_ID_CURR','DAYS_EMPLOYED']],df['DAYS_EMPLOYED'] == 365243] df[['SK_ID_CURR','DAYS_EMPLOYED']df['DAYS_EMPLOYED'] == 365243] # In[ ]: #df.loc[df['DAYS_EMPLOYED'] == 365243, 'SK_ID_CURR'] df.loc[df['DAYS_EMPLOYED'] == 365243, ['SK_ID_CURR', 'DAYS_EMPLOYED']] # FLAG_OWN_CAR # OWN_CAR_AGE # # FLAG_OWN_REALTY # # In[ ]: df['FLAG_OWN_REALTY'].value_counts() # In[ ]: df['FLAG_OWN_CAR'].value_counts() # In[ ]: df['OWN_CAR_AGE'].describe() # In[ ]: df['OWN_CAR_AGE'].isnull().sum() # In[ ]: sns.violinplot(y='OWN_CAR_AGE', data=df, scale='count'); # In[ ]: sns.violinplot(x='TARGET', y='OWN_CAR_AGE', data=df, scale='count'); # In[ ]: sns.boxplot(y=df['OWN_CAR_AGE']); # In[ ]: sns.boxplot(x='TARGET', y='OWN_CAR_AGE', data=df);

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null

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1

0

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a3464df77696845b07b009c666aa3678b61f43de

3,879

py

Python

tests/test_view.py

Philipp-Userlike/django-pystache

c720ee7a4b01f673dd2f476dae2e0c529229efe2

[ "MIT" ]

2

2015-11-05T08:53:49.000Z

2016-03-01T22:14:12.000Z

tests/test_view.py

kennethreitz-archive/pystache

f543efac93b753914a20b9daaf84a51382fba445

[ "MIT" ]

null

tests/test_view.py

kennethreitz-archive/pystache

f543efac93b753914a20b9daaf84a51382fba445

[ "MIT" ]

1

2020-02-12T19:11:42.000Z

import unittest import pystache from examples.simple import Simple from examples.complex_view import ComplexView from examples.lambdas import Lambdas from examples.inverted import Inverted, InvertedLists class Thing(object): pass class TestView(unittest.TestCase): def test_basic(self): view = Simple("Hi {{thing}}!", { 'thing': 'world' }) self.assertEquals(view.render(), "Hi world!") def test_kwargs(self): view = Simple("Hi {{thing}}!", thing='world') self.assertEquals(view.render(), "Hi world!") def test_template_load(self): view = Simple(thing='world') self.assertEquals(view.render(), "Hi world!") def test_template_load_from_multiple_path(self): path = Simple.template_path Simple.template_path = ('examples/nowhere','examples',) try: view = Simple(thing='world') self.assertEquals(view.render(), "Hi world!") finally: Simple.template_path = path def test_template_load_from_multiple_path_fail(self): path = Simple.template_path Simple.template_path = ('examples/nowhere',) try: view = Simple(thing='world') self.assertRaises(IOError, view.render) finally: Simple.template_path = path def test_basic_method_calls(self): view = Simple() self.assertEquals(view.render(), "Hi pizza!") def test_non_callable_attributes(self): view = Simple() view.thing = 'Chris' self.assertEquals(view.render(), "Hi Chris!") def test_view_instances_as_attributes(self): other = Simple(name='chris') other.template = '{{name}}' view = Simple() view.thing = other self.assertEquals(view.render(), "Hi chris!") def test_complex(self): self.assertEquals(ComplexView().render(), """<h1>Colors</h1><ul><li><strong>red</strong></li><li><a href="#Green">green</a></li><li><a href="#Blue">blue</a></li></ul>""") def test_higher_order_replace(self): view = Lambdas() self.assertEquals(view.render(), 'bar != bar. oh, it does!') def test_higher_order_rot13(self): view = Lambdas() view.template = '{{#rot13}}abcdefghijklm{{/rot13}}' self.assertEquals(view.render(), 'nopqrstuvwxyz') def test_higher_order_lambda(self): view = Lambdas() view.template = '{{#sort}}zyxwvutsrqponmlkjihgfedcba{{/sort}}' self.assertEquals(view.render(), 'abcdefghijklmnopqrstuvwxyz') def test_partials_with_lambda(self): view = Lambdas() view.template = '{{>partial_with_lambda}}' self.assertEquals(view.render(), 'nopqrstuvwxyz') def test_hierarchical_partials_with_lambdas(self): view = Lambdas() view.template = '{{>partial_with_partial_and_lambda}}' self.assertEquals(view.render(), 'nopqrstuvwxyznopqrstuvwxyz') def test_inverted(self): view = Inverted() self.assertEquals(view.render(), """one, two, three, empty list""") def test_accessing_properties_on_parent_object_from_child_objects(self): parent = Thing() parent.this = 'derp' parent.children = [Thing()] view = Simple(context={'parent': parent}) view.template = "{{#parent}}{{#children}}{{this}}{{/children}}{{/parent}}" self.assertEquals(view.render(), 'derp') def test_context_returns_a_flattened_dict(self): view = Simple() view.context_list = [{'one':'1'}, {'two':'2'}, object()] self.assertEqual(view.context, {'one': '1', 'two': '2'}) def test_inverted_lists(self): view = InvertedLists() self.assertEquals(view.render(), """one, two, three, empty list""") if __name__ == '__main__': unittest.main()

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null

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null

0

1

0

2

a34e50b4e53e329d2fa7d7fb9d15a34c2182d291

425

py

Python

sendWhatsappMessage.py

systemquant/DeFi_PanCakeSwapBot

39665bfd095e9b571a70699926c080882e5b456d

[ "MIT" ]

142

2021-08-30T19:57:29.000Z

2022-03-30T15:03:35.000Z

sendWhatsappMessage.py

systemquant/DeFi_PanCakeSwapBot

39665bfd095e9b571a70699926c080882e5b456d

[ "MIT" ]

21

2021-09-04T20:57:31.000Z

2022-03-02T00:09:08.000Z

sendWhatsappMessage.py

systemquant/DeFi_PanCakeSwapBot

39665bfd095e9b571a70699926c080882e5b456d

[ "MIT" ]

116

2021-09-01T13:32:46.000Z

2022-03-29T05:17:15.000Z

import pywhatkit as py import keyboard import time from datetime import datetime def sendMessage(numbers, message, price): for number in numbers: py.sendwhatmsg(number, "{}: {:.10f}".format(message, price), datetime.now().hour, datetime.now().minute + 2) keyboard.press_and_release('ctrl+w') time.sleep(1) keyboard.press_and_release('enter') time.sleep(1)

28.333333

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425

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0.118959

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425

14

90

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null

0

1

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null

0

1

0

2

a35da87497581938c34f56b7591df4443a8bd38e

2,052

py

Python

bot/py/py-irc-8.5.1/irc/buffer.py

sonoprob/0x56

fa4cf9365696b1461492244a016e3fb57a33ce7a

[ "Artistic-2.0" ]

1

2020-02-25T10:47:00.000Z

irc/buffer.py

suut/psychic-happiness

56c0daef93f40b91e8a859f04a4660dde2b5c5c1

[ "Unlicense" ]

null

irc/buffer.py

suut/psychic-happiness

56c0daef93f40b91e8a859f04a4660dde2b5c5c1

[ "Unlicense" ]

null

from __future__ import unicode_literals import re class LineBuffer(object): r""" Buffer bytes read in from a connection and serve complete lines back. >>> b = LineBuffer() >>> len(b) 0 >>> b.feed(b'foo\nbar') >>> len(b) 7 >>> list(b.lines()) == [b'foo'] True >>> len(b) 3 >>> b.feed(b'bar\r\nbaz\n') >>> list(b.lines()) == [b'barbar', b'baz'] True >>> len(b) 0 The buffer will not perform any decoding. >>> b.feed(b'Ol\xe9\n') >>> list(b.lines()) == [b'Ol\xe9'] True The LineBuffer should also act as an iterable. >>> b.feed(b'iterate\nthis\n') >>> for line, expected in zip(b, [b'iterate', b'this']): ... assert line == expected """ line_sep_exp = re.compile(b'\r?\n') def __init__(self): self.buffer = b'' def feed(self, bytes): self.buffer += bytes def lines(self): lines = self.line_sep_exp.split(self.buffer) # save the last, unfinished, possibly empty line self.buffer = lines.pop() return iter(lines) def __iter__(self): return self.lines() def __len__(self): return len(self.buffer) class DecodingLineBuffer(LineBuffer): r""" Like LineBuffer, but decode the output (default assumes UTF-8). >>> utf8_word = b'Ol\xc3\xa9' >>> b = DecodingLineBuffer() >>> b.feed(b'bar\r\nbaz\n' + utf8_word + b'\n') >>> list(b.lines()) == ['bar', 'baz', utf8_word.decode('utf-8')] True >>> len(b) 0 Some clients will feed latin-1 or other encodings. If your client should support docoding from these clients (and not raise a UnicodeDecodeError), set errors='replace': >>> rb = DecodingLineBuffer() >>> b.errors = 'replace' >>> b.feed(b'Ol\xe9\n') >>> list(b.lines()) == ['Ol\ufffd'] True """ encoding = 'utf-8' errors = 'strict' def lines(self): return (line.decode(self.encoding, self.errors) for line in super(DecodingLineBuffer, self).lines())

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2,052

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0

0.083333

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0

null

0

null

0

1

0

1

0

2

a36257679bdb3db982e64c451a25613c1cbcc601

969

py

Python

src/cli.py

jpsecher/py-cli

b053ead3b830136517726f036ded713661ab9f3e

[ "0BSD" ]

null

src/cli.py

jpsecher/py-cli

b053ead3b830136517726f036ded713661ab9f3e

[ "0BSD" ]

null

src/cli.py

jpsecher/py-cli

b053ead3b830136517726f036ded713661ab9f3e

[ "0BSD" ]

null

import argparse from typing import Sequence class CLI: def __init__(self, description: str, args: Sequence[str]): self._cli_args = args self._parser = argparse.ArgumentParser(description=description) def set_up_log(self) -> None: pass def logfile(self) -> str: # TODO: yyyy-mm-dd/hh-mm-ss-hash-name.log return self._args.logdir + '/ost.log' def epilog(self) -> str: return self._args.logdir def parse_args(self) -> None: self._parser.add_argument( '-V', '--version', action='count', help='show application version') self._parser.add_argument( '-v', '--verbose', action='count', default=0, help='Verbose output (repeat to increase)') self._parser.add_argument( '--logdir', default='logs', metavar='DIR', help='logs are stored in this directory') self._args = self._parser.parse_args(args=self._cli_args)

32.3

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120

969

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0.067826

0.109565

0.076522

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0.001376

0.249742

969

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0.034483

0

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0.227273

false

0.045455

0.090909

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null

0

null

0

1

0

1

0

2

a38e9a097ca302efc71274f8e18c61b719a4f6f3

1,052

py

Python

dduplicated/commands.py

messiasthi/Dduplicated

c2958b6e41e761a13ea004e0efce036966fee005

[ "MIT" ]

null

dduplicated/commands.py

messiasthi/Dduplicated

c2958b6e41e761a13ea004e0efce036966fee005

[ "MIT" ]

null

dduplicated/commands.py

messiasthi/Dduplicated

c2958b6e41e761a13ea004e0efce036966fee005

[ "MIT" ]

1

2018-02-15T18:09:13.000Z

from dduplicated import scans, fileManager def detect(paths, verbose=False): return scans.scan(paths, False, False, verbose) # Remove all duplicates def delete(files, verbose=False): return scans.scan(files, True, False, verbose) # Make the link to first file def link(files, verbose=False): return scans.scan(files, True, True, verbose) def rmdir(paths): dirs = [] for path in paths: dirs += fileManager.rrmdir(path) return dirs # Print the help menu def show_help(): print(""" dduplicate is a simple script in python for detect and delete duplicate files in your directory finded duplicated files, is possible delete, link or do nothing. Command: \tdetect\tPATHS\tfor only search and detect duplicated files in directory. \tdelete\tPATHS\tfor delete any duplicated files in directory, not first file. \tlink\tPATHS\tfor link first all duplicates in first file. \trmdir\tPATHS\tfor remove all directories and subdirectories empty. \tno-verbose\t\tfor not show all steps executed \thelp\t\tshow this help """)

29.222222

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0

null

0

null

0

1

0

1

0

2

a3a43b217a549397ed1da56f956e5e85c4d32162

4,419

py

Python

upgrade/1.4.5/aquilon/aqdb/model/system.py

ned21/aquilon

6562ea0f224cda33b72a6f7664f48d65f96bd41a

[ "Apache-2.0" ]

7

2015-07-31T05:57:30.000Z

2021-09-07T15:18:56.000Z

upgrade/1.4.5/aquilon/aqdb/model/system.py

ned21/aquilon

6562ea0f224cda33b72a6f7664f48d65f96bd41a

[ "Apache-2.0" ]

115

2015-03-03T13:11:46.000Z

2021-09-20T12:42:24.000Z

upgrade/1.4.5/aquilon/aqdb/model/system.py

ned21/aquilon

6562ea0f224cda33b72a6f7664f48d65f96bd41a

[ "Apache-2.0" ]

13

2015-03-03T11:17:59.000Z

2021-09-09T09:16:41.000Z

# -*- cpy-indent-level: 4; indent-tabs-mode: nil -*- # ex: set expandtab softtabstop=4 shiftwidth=4: # # Copyright (C) 2008,2009,2010,2013 Contributor # # 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. """ Systems are higher level constructs which can provide services """ from datetime import datetime from sqlalchemy import (Table, Integer, DateTime, Sequence, String, Column, ForeignKey, UniqueConstraint) from sqlalchemy.orm import relation, deferred, backref from aquilon.aqdb.model import Base, DnsDomain, Network from aquilon.aqdb.column_types import AqStr, IPV4, AqMac #TODO: enum type for system_type column #_sys_types = ['host', 'tor_switch', 'console_switch', 'chassis', 'manager', # 'auxiliary' ] class System(Base): """ System: a base class which abstracts out the details of between all the various kinds of service providers we may use. A System might be a host/server/workstation, router, firewall, netapp, etc. Naming this is kind of difficult, but "system" seems neutral, and happens not to be overloaded by anything I am aware of. This is exactly what system does. System_id holds a name, and presents an abstract entity that can provide, or utilize services, hardware, networks, configuration sources, etc. It's subtyped for flexibilty to weather future expansion and enhancement without breaking the fundamental archetypes we're building today. It is perhaps the most important table so far, and replaces the notion of 'host' as we've used it in our discussions and designs thus far. """ __tablename__ = 'system' id = Column(Integer, Sequence('SYSTEM_SEQ'), primary_key=True) name = Column(AqStr(64), nullable=False) #TODO: create enum_types for this system_type = Column(AqStr(32), nullable=False) dns_domain_id = Column(Integer, ForeignKey('dns_domain.id', name='SYSTEM_DNS_FK'), nullable=False ) #TODO: default mac = Column(AqMac(17), nullable=True) ip = Column(IPV4, nullable=True) network_id = Column(Integer, ForeignKey('network.id', name='SYSTEM_NET_ID_FK'), nullable=True) creation_date = deferred(Column( DateTime, default=datetime.now, nullable=False)) comments = deferred(Column('comments', String(255), nullable=True)) dns_domain = relation(DnsDomain) network = relation(Network, backref='interfaces') __mapper_args__ = {'polymorphic_on' : system_type} def _fqdn(self): return '.'.join([str(self.name),str(self.dns_domain.name)]) fqdn = property(_fqdn) system = System.__table__ system.primary_key.name='SYSTEM_PK' system.append_constraint( UniqueConstraint('name','dns_domain_id', name='SYSTEM_DNS_NAME_UK')) system.append_constraint( #systm_pt_uk means 'primary tuple' UniqueConstraint('name', 'dns_domain_id', 'mac', 'ip', name='SYSTEM_PT_UK')) table = system class DynamicStub(System): """ DynamicStub is a hack to handle stand alone dns records for dynamic hosts prior to having a properly reworked set of tables for Dns information. It should not be used by anything other than to create host records for virtual machines using names similar to 'dynamic-1-2-3-4.subdomain.ms.com' """ __tablename__ = 'dynamic_stub' __mapper_args__ = {'polymorphic_identity':'dynamic_stub'} system_id = Column(Integer, ForeignKey('system.id', name='dynamic_stub_system_fk', ondelete='CASCADE'), primary_key=True) DynamicStub.__table__.primary_key.name='dynamic_stub_pk'

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null

0

null

0

1

0

1

0

2

6e60119d3b530316516c697b435c156b0ce6bd9d

20,979

py

Python

web.py

nicehero/h5game_platform

238d71e51b14781c1178fe97f0a9d7ab7686e75d

[ "BSD-3-Clause" ]

null

web.py

nicehero/h5game_platform

238d71e51b14781c1178fe97f0a9d7ab7686e75d

[ "BSD-3-Clause" ]

null

web.py

nicehero/h5game_platform

238d71e51b14781c1178fe97f0a9d7ab7686e75d

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import logging import traceback from alipay.aop.api.AlipayClientConfig import AlipayClientConfig from alipay.aop.api.DefaultAlipayClient import DefaultAlipayClient from alipay.aop.api.FileItem import FileItem from alipay.aop.api.domain.AlipayTradeAppPayModel import AlipayTradeAppPayModel from alipay.aop.api.domain.AlipayTradePagePayModel import AlipayTradePagePayModel from alipay.aop.api.domain.AlipayTradeWapPayModel import AlipayTradeWapPayModel from alipay.aop.api.domain.AlipayTradeQueryModel import AlipayTradeQueryModel from alipay.aop.api.domain.AlipayTradePayModel import AlipayTradePayModel from alipay.aop.api.domain.GoodsDetail import GoodsDetail from alipay.aop.api.domain.SettleDetailInfo import SettleDetailInfo from alipay.aop.api.domain.SettleInfo import SettleInfo from alipay.aop.api.domain.SubMerchant import SubMerchant from alipay.aop.api.request.AlipayOfflineMaterialImageUploadRequest import AlipayOfflineMaterialImageUploadRequest from alipay.aop.api.request.AlipayTradeAppPayRequest import AlipayTradeAppPayRequest from alipay.aop.api.request.AlipayTradePagePayRequest import AlipayTradePagePayRequest from alipay.aop.api.request.AlipayTradeWapPayRequest import AlipayTradeWapPayRequest from alipay.aop.api.request.AlipayTradePayRequest import AlipayTradePayRequest from alipay.aop.api.request.AlipayTradeQueryRequest import AlipayTradeQueryRequest from alipay.aop.api.response.AlipayOfflineMaterialImageUploadResponse import AlipayOfflineMaterialImageUploadResponse from alipay.aop.api.response.AlipayTradePayResponse import AlipayTradePayResponse import tornado.ioloop import tornado.web import tornado.escape import tornado.options import tornado.websocket import tornado.autoreload import tornado.httpclient import tornado.auth from tornado.httputil import url_concat #import urllib2 import base64 import os import hashlib import time import json import struct import datetime import logging import urllib import urllib.request import uuid import re import pickle # 写入pickle def pickle_write(file_path, data): f = open("./data/" + file_path, 'wb') pickle.dump(data, f) f.close() # 读取pickle def pickle_read(file_path): try: f = open("./data/" + file_path, 'rb') data = pickle.load(f) f.close() return data except: return None #url1 = "http://127.0.0.1:8810/" games = { "tinyHeart":{"name":"TinyHeart","img":"th.png","cost":0.1}, "linkGame":{"name":"连连看","img":"IMG20190118_173659.png","cost":0.0}, "2048":{"name":"2048","img":"2048x.jpg","cost":0.0}, "Gobang":{"name":"五子棋","img":"Gobangx.jpg","cost":0.0}, "RetroSnaker":{"name":"贪吃蛇","img":"snake.jpg","cost":0.0}, "Tetris":{"name":"俄罗斯方块","img":"Tetrisx.jpg","cost":0.0}, "tinyHeartFree":{"name":"TinyHeart免费版","img":"th.png","cost":0.0}, }#game list plogin = ''' <html> <style> center { margin-top:100px; margin-bottom:100px; margin-right:50px; margin-left:50px; } </style> <body> <script src="static/sha256.min.js"></script> <script> function getParam(par){ var local_url = document.location.href; var get = local_url.indexOf(par +"="); if(get == -1){ return ""; } var get_par = local_url.slice(par.length + get + 1); var nextPar = get_par.indexOf("&"); if(nextPar != -1){ get_par = get_par.slice(0, nextPar); } return decodeURIComponent(get_par); } function login(){ let PARAMS = {} PARAMS.username = document.getElementById('username').value; PARAMS.password = sha256(document.getElementById('password').value); PARAMS.next = getParam('next').replace('/','') //document.cookie = "username=" + username //document.cookie = "pass=" + password //window.location.href='/' var temp = document.createElement("form"); temp.action = "/login"; temp.method = "post"; temp.style.display = "none"; for (var x in PARAMS) { var opt = document.createElement("textarea"); opt.name = x; opt.value = PARAMS[x]; temp.appendChild(opt); } document.body.appendChild(temp); let r = temp.submit(); console.log(r); return temp; } </script> <center> <div>用户名: <input type="text" name="username" id="username"></div> <div>密码: <input type="password" name="password" id="password"></div> <div><input type='button' value='登陆' onclick='login()'></input> <a id="hrefSignup">注册</a></div> <div><a href="./">返回主页</a></div> </center> <script> let next = getParam('next').replace('/','') if (next == ""){ document.getElementById("hrefSignup").setAttribute("href","./signup"); } else { document.getElementById("hrefSignup").setAttribute("href","./signup?next=" + next); } message = "%s"; if (message != ""){ alert(message); } </script> </body></html> ''' psignup = ''' <html> <style> center { margin-top:100px; margin-bottom:100px; margin-right:50px; margin-left:100px; } </style> <body> <script src="static/sha256.min.js"></script> <script> function getParam(par){ var local_url = document.location.href; var get = local_url.indexOf(par +"="); if(get == -1){ return ""; } var get_par = local_url.slice(par.length + get + 1); var nextPar = get_par.indexOf("&"); if(nextPar != -1){ get_par = get_par.slice(0, nextPar); } return decodeURIComponent(get_par); } function signup(){ let PARAMS = {} PARAMS.username = document.getElementById('username').value; PARAMS.password = sha256(document.getElementById('password').value); let passwordAgain = sha256(document.getElementById('passwordAgain').value); if (PARAMS.password != passwordAgain){ alert("两次密码输入不同!"); return; } PARAMS.next = getParam('next').replace('/','') //document.cookie = "username=" + username //document.cookie = "pass=" + password //window.location.href='/' var temp = document.createElement("form"); temp.action = "/signup"; temp.method = "post"; temp.style.display = "none"; for (var x in PARAMS) { var opt = document.createElement("textarea"); opt.name = x; opt.value = PARAMS[x]; temp.appendChild(opt); } document.body.appendChild(temp); let r = temp.submit(); console.log(r); return temp; } </script> <center><div align="left"> <div><div>用户名:</div> <input type="text" name="username" id="username">用户名需要6到12个字母或数字或下划线_,只能字母开头</div> <div><div>密码:</div> <input type="password" name="password" id="password">密码需要8到12个字母或数字加特殊符号</div> <div><div>再输入一次密码:</div> <input type="password" name="password" id="passwordAgain"></div> <div><input type='button' value='注册' onclick='signup()'></input></div> <div><a href="./">返回主页</a></div> </div></center> <script> message = "%s"; if (message != ""){ alert(message); } </script> </body></html> ''' NUM_LETTER = re.compile("^(?!\d+$)[\da-zA-Z_]+$") #数字和字母组合，不允许纯数字 FIRST_LETTER = re.compile("^[a-zA-Z]") #只能以字母开头 def account_name_format(Name): if NUM_LETTER.search(Name): if FIRST_LETTER.search(Name): return True return False SESSION = {} USERS = {} class Session: def __init__(self, handler): self.handler = handler @staticmethod def _random_str(): '''用随机数来作为session_id''' return str(uuid.uuid4()) def _get_cookie_sid(self): '''获取cookie中的session_id''' cookie_sid = self.handler.get_secure_cookie("__session", None) return str(cookie_sid, encoding="utf-8") if cookie_sid else None def __setitem__(self, key, value): cookie_sid = self._get_cookie_sid() if not cookie_sid: cookie_sid = self._random_str() self.handler.set_secure_cookie("__session", cookie_sid,samesite="Lax") SESSION.setdefault(cookie_sid, {"username" : ""}).__setitem__(key, value) def __getitem__(self, key): cookie_sid = self._get_cookie_sid() content = SESSION.get(cookie_sid, None) return content.get(key, None) if content else None def __delitem__(self, key): cookie_sid = self._get_cookie_sid() if not cookie_sid or not SESSION.get(cookie_sid): raise KeyError(key) del SESSION[cookie_sid][key] class MyHandler(tornado.web.RequestHandler): def get_current_user(self): current_user = self.session["username"] if current_user != "": return current_user return None def initialize(self): self.session = Session(self) gf = open("index.html",'rb') mainIndex = gf.read().decode() gf.close() gt = '''<div id = "%s" name="game"><a href="./%s"><div><img src="./static/%s"/></div><div><font size="3">%s</font></div></a> <div><font size="5" color="#FF0000">¥%s</font></div></div> ''' gt1 = '''<div class="s-top-left">欢迎光临!</div> <div class="s-top-right"> <div class="noLine"><a href="login">登陆</a></div> <div class="noLine"><a href="signup">注册</a></div> </div> ''' gt2 = '''<div class="s-top-left">你好:%s!</div> <div class="s-top-right"> <a href="./?logout=1">退出</a> </div> ''' class MainHandler(MyHandler): def get(self): isLogout = self.get_argument('logout',"") if isLogout != "": self.session["username"] = "" global mainIndex global gt global gt1 user = self.current_user s = "" u = None if user in USERS: u = USERS[user] print("--------------------") print(u) print("--------------------") for i in games.keys(): scost = "免费"; if games[i]["cost"] > 0.009: scost = str(games[i]["cost"]) try: if i in u["had"]: scost = "已购" except: pass s = s + (gt % (games[i]["name"],i,games[i]["img"],games[i]["name"],scost)) if user != None: self.write(mainIndex % (gt2%user,s)) else: self.write(mainIndex % (gt1,s)) class LoginHandler(MyHandler): def get(self): self.write(plogin % "") def post(self): username = self.get_argument("username") password = self.get_argument("password") next = self.get_argument("next") if len(username) < 6 or len(username) > 12 or not account_name_format(username): self.write(plogin % "用户名格式错误") return if not username in USERS: u = pickle_read(username) if not u: self.write(plogin % "用户名不存在或密码错误") return USERS[username] = u if USERS[username]["password"] != password: self.write(plogin % "用户名不存在或密码错误") return self.session["username"] = username self.redirect("/" + next) class SignupHandler(MyHandler): def get(self): self.write(psignup % "") def post(self): username = self.get_argument("username") password = self.get_argument("password") if len(username) < 6 or len(username) > 12 or not account_name_format(username): self.write(psignup % "用户名格式错误") return if len(password) < 8: self.write(psignup % "密码格式错误") return if username in USERS: self.write(psignup % "用户名已存在") return u = pickle_read(username) if u != None: self.write(psignup % "用户名已存在") return USERS[username] = {"username":username,"password":password} pickle_write(username,USERS[username]) next = self.get_argument("next") self.session["username"] = username self.redirect("/" + next) #logging.basicConfig(level=logging.INFO,filename='web.log') logger = logging.getLogger('') """ 设置配置，包括支付宝网关地址、app_id、应用私钥、支付宝公钥等，其他配置值可以查看AlipayClientConfig的定义。 """ alipay_client_config = AlipayClientConfig() alipay_client_config.server_url = 'https://openapi.alipaydev.com/gateway.do' alipay_client_config.app_id = '2021000118654178' alipay_client_config.app_private_key = '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' alipay_client_config.alipay_public_key = 'MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEApnBWmglUkd3OtdCSKWrXwUInvfUgeNT+wAgHSzV077PrIb/GFU1Ib/HnABGfcc4kZgf2D0gXsIah8mjxSnKer73Ckqyx8XX/S0zJGnDbWGNPR6C4KLybMDNvzfzkQpxXWSAlYKePbq39k0xLs+cCOUZF/8+d3AD4lw7/Z6miYJHgKOEmB+euKhLCcBIWtxbAIlxwMlu0uWIYanxmW1dpC2DoN55BqKfrUxsIRpaqpXjFG/WSYmC3XCI+xV3jk931JQQfnamgzWRpdoFIDx4fZqhycY/QdalKtmqpuNB5yzRtiRVei1dTlMc+ivM19jFrncFJTAkJaREN74vfq80cXwIDAQAB' alipay_client_config.sign_type = 'RSA2' """ 得到客户端对象。注意，一个alipay_client_config对象对应一个DefaultAlipayClient，定义DefaultAlipayClient对象后，alipay_client_config不得修改，如果想使用不同的配置，请定义不同的DefaultAlipayClient。 logger参数用于打印日志，不传则不打印，建议传递。 """ client = DefaultAlipayClient(alipay_client_config=alipay_client_config, logger=logger) """ g_model = AlipayTradeQueryModel() g_model.out_trade_no = "tinyHeart_yuyinda" g_req = AlipayTradeQueryRequest(biz_model=g_model) g_o = client.execute(g_req) print("--------------------------------") print(g_o) print("--------------------------------") g_model = AlipayTradeQueryModel() g_model.out_trade_no = "tinyHeart_test00001" g_req = AlipayTradeQueryRequest(biz_model=g_model) g_o = client.execute(g_req) print("--------------------------------") print(g_o) print("--------------------------------") """ class AnyHandler(MyHandler): def checkAlipay(self,subject,user,name,u): model = AlipayTradeQueryModel() model.out_trade_no = subject req = AlipayTradeQueryRequest(biz_model=model) o = client.execute(req) print("--------------------------------") print(o) print("--------------------------------") jo = json.loads(o) if jo["msg"] == "Success" and float(jo["total_amount"]) + 0.01 >= games[name]["cost"]: try: t = "" in u["had"] except: u["had"] = [] u["had"].append(name) USERS[name] = u pickle_write(user,u) return True payUrl = str(games[name]["cost"])+"&product="+name+"&user="+subject self.redirect('AliPay?amount=' + payUrl) return False def isBuy(self,name,user,u): subject = name + "_" + user isFind = True try: if not name in u["had"]: isFind = False except: isFind = False if isFind == True: return True return self.checkAlipay(subject,user,name,u) @tornado.web.authenticated def get(self): user = self.current_user name = self.request.path[1:] if not name in games: self.write("no game") return if not user: self.redirect('/login?redirect=' + name) return u = None if user in USERS: u = USERS[user] if games[name]["cost"] > 0.009: if not self.isBuy(name,user,u): return f = open("./static/" + name + "/index.html", 'rb') self.write(f.read()) f.close() class AliPay(MyHandler): def get(self): #model = AlipayTradeAppPayModel() #model = AlipayTradePayModel() model = AlipayTradeWapPayModel() #model = AlipayTradePagePayModel() model.total_amount = self.get_query_argument('amount', '1') #model.product_code = 'FAST_INSTANT_TRADE_PAY' model.product_code = 'QUICK_WAP_PAY' model.subject = self.get_query_argument('user', '0_0') #model.out_trade_no = str(int(time.time())) + model.subject model.out_trade_no = model.subject model.seller_id = "gqfmha3170@sandbox.com" #model.seller_id = "9youzl@mail.m818.com" url0 = "http://" + self.request.host + "/" model.quit_url = url0 #model.timeout_express = '10m' #request = AlipayTradeAppPayRequest(biz_model=model) #request.notify_url = url0 + 'AliPayOk' #response = client.sdk_execute(request) #logging.info("alipay.trade.app.pay response:" + response) #self.write(response) #pay_request = AlipayTradePagePayRequest(biz_model=model) pay_request = AlipayTradeWapPayRequest(biz_model=model) #pay_request = AlipayTradePayRequest(biz_model=model) #pay_request.notify_url = url0 + 'AliPayOk' # 支付后回调地址 pay_request.return_url = url0 + self.get_query_argument('product', '') #response = client.sdk_execute(pay_request) #self.write(response) pay_url = client.page_execute(pay_request, http_method='GET') self.redirect(pay_url) def check_pay( params): # 定义检查支付结果的函数 from alipay.aop.api.util.SignatureUtils import verify_with_rsa sign = params.pop('sign', None) # 取出签名 print('public_key:') print(public_key) print('sign:') print(sign) params.pop('sign_type') # 取出签名类型 params = sorted(params.items(), key=lambda e: e[0], reverse=False) # 取出字典元素按key的字母升序排序形成列表 message = "&".join(u"{}={}".format(k, v) for k, v in params).encode() # 将列表转为二进制参数字符串 print('message:') print(message) # with open(settings.ALIPAY_PUBLIC_KEY_PATH, 'rb') as public_key: # 打开公钥文件 try: status = verify_with_rsa(public_key, message,sign) # 验证签名并获取结果 return status # 返回验证结果 except Exception as e: # 访问异常的错误编号和详细信息 print(e.args) print(str(e)) print(repr(e)) return False class AliPayOk(tornado.web.RequestHandler): def post(self): params = self.request.arguments logging.info("AliPayOk post") logging.info(params) params2 = {} for key in params.keys(): params2[key] = params[key][0].decode() params = params2 logging.info("------------------------------------------------------") logging.info(params) if params["trade_status"] != "TRADE_SUCCESS" and params["trade_status"] != "TRADE_FINISHED": logging.info("not success") return if check_pay(params): logging.info("check ok") m = hashlib.md5() orderID = "alipay_" + params["trade_no"] data = params["subject"] ii = data.find("_") user = data[ii + 1:] name = data[:ii] amount = str(params["total_amount"]) if not name in games: logging.info("AlipayOK game not exist:" + name) self.write("not success") return if float(amount) + 0.01 < games[name]["cost"]: logging.info("AlipayOK amount error:" + name + "," + str(amount)) self.write("success") return u = pickle_read(user) if not u: logging.info("AlipayOK user not exist:" + user) self.write("not success") return try: t = "" in u["had"] except: u["had"] = [] u["had"].append(name) USERS[name] = u pickle_write(user,u) self.write("success") else: logging.info("check error") self.write("failed") def get(self): params = self.request.arguments logging.info("AliPayOk get") logging.info(params) params2 = {} for key in params.keys(): params2[key] = params[key][0].decode() params = params2 logging.info("------------------------------------------------------") logging.info(params) if params["trade_status"] != "TRADE_SUCCESS" and params["trade_status"] != "TRADE_FINISHED": logging.info("not success") return if check_pay(params): logging.info("check ok") m = hashlib.md5() orderID = "alipay_" + params["trade_no"] data = params["subject"] ii = data.find("_") user = data[ii + 1:] name = data[:ii] amount = str(params["total_amount"]) if not name in games: logging.info("AlipayOK game not exist:" + name) self.write("not success") return if float(amount) + 0.01 < games[name]["cost"]: logging.info("AlipayOK amount error:" + name + "," + str(amount)) self.write("success") return u = pickle_read(user) if not u: logging.info("AlipayOK user not exist:" + user) self.write("not success") return try: t = "" in u["had"] except: u["had"] = [] u["had"].append(name) USERS[name] = u pickle_write(user,u) self.write("success") else: logging.info("check error") self.write("failed") class Application(tornado.web.Application): def __init__(self): handlers = [ (r"/", MainHandler), (r"/login", LoginHandler), (r"/signup", SignupHandler), (r"/AliPay", AliPay), (r"/AliPayOk", AliPayOk), ] for i in games.keys(): handlers.append((r"/" + i,AnyHandler)) settings = dict( cookie_secret="61oETzKXQAGaYdkL2gEmGeJJFuYh8EQnp2XdTP1o/Vo=", template_path=os.path.join(os.path.dirname(__file__), "templates"), static_path=os.path.join(os.path.dirname(__file__), "static"), static_url_prefix = "/static/", login_url='/login', xsrf_cookies=False, ) tornado.web.Application.__init__(self, handlers, **settings) if __name__ == "__main__": tornado.options.parse_command_line() app = Application() app.listen(8810) loop = tornado.ioloop.IOLoop.instance() tornado.ioloop.IOLoop.instance().start()

33.3

1,629

0.705992

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0.207937

0.015483

0.018786

0.023121

0.378888

0.317919

0.298789

0.277525

0.263832

0.246903

0

0.025766

0.126793

20,979

629

1,630

33.352941

0.767455

0.051909

0

0.499099

0

0.014414

0.411974

0.202999

0

1

0

1

0.043243

false

0.027027

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0

null

0

1

0

null

1

0

2

6e6a283bc4120f1ee94638f84aeed9da4b9483d3

341

py

Python

setup.py

shearern/PyWizard

fac7f859707bc7fe36737caa794c159a66ea0789

[ "MIT" ]

null

setup.py

shearern/PyWizard

fac7f859707bc7fe36737caa794c159a66ea0789

[ "MIT" ]

null

setup.py

shearern/PyWizard

fac7f859707bc7fe36737caa794c159a66ea0789

[ "MIT" ]

null

from distutils.core import setup setup( name='py_wizard', version='2.0', author='Nathan Shearer', author_email='shearern@gmail.com', package_dir={'': 'src', }, packages=[ 'py_wizard', 'py_wizard.console_wiz_iface', 'py_wizard.questions', 'py_wizard.tk_wizard_iface', ], )

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null

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2

6e7152edfa2519c4e8ce2672dce330c0b928bd58

820

py

Python

django_analyses/apps.py

TheLabbingProject/django_analyses

08cac40a32754a265b37524f08ec6160c69ebea8

[ "Apache-2.0" ]

1

2020-12-30T12:43:34.000Z

django_analyses/apps.py

TheLabbingProject/django_analyses

08cac40a32754a265b37524f08ec6160c69ebea8

[ "Apache-2.0" ]

59

2019-12-25T13:14:56.000Z

2021-07-22T12:24:46.000Z

django_analyses/apps.py

TheLabbingProject/django_analyses

08cac40a32754a265b37524f08ec6160c69ebea8

[ "Apache-2.0" ]

2

2020-05-24T06:44:27.000Z

2020-07-09T15:47:31.000Z

""" Definition of the :class:`DjangoAnalysesConfig` class. References ---------- * `Django applications`_ .. _Django applications: https://docs.djangoproject.com/en/3.0/ref/applications/#module-django.apps """ from django.apps import AppConfig class DjangoAnalysesConfig(AppConfig): """ *django_analyses* app configuration. References ---------- * `AppConfig attributes`_ .. _AppConfig attributes: https://docs.djangoproject.com/en/3.0/ref/applications/#configurable-attributes """ #: Full Python path to the application. name = "django_analyses" def ready(self): """ Loads the app's signals. References ---------- * :meth:`~django.apps.AppConfig.ready` """ import django_analyses.signals # noqa: F401

20.5

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6e73f5cbd34016aeb23c52711aa6d59e997a91f2

4,723

py

Python

Incident-Response/Tools/cyphon/cyphon/aggregator/pumproom/tests/test_planner.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

1

2021-07-24T17:22:50.000Z

Incident-Response/Tools/cyphon/cyphon/aggregator/pumproom/tests/test_planner.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

2

2022-02-28T03:40:31.000Z

2022-02-28T03:40:52.000Z

Incident-Response/Tools/cyphon/cyphon/aggregator/pumproom/tests/test_planner.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

2

2022-02-25T08:34:51.000Z

2022-03-16T17:29:44.000Z

# -*- coding: utf-8 -*- # Copyright 2017-2019 ControlScan, Inc. # # This file is part of Cyphon Engine. # # Cyphon Engine is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, version 3 of the License. # # Cyphon Engine is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Cyphon Engine. If not, see <http://www.gnu.org/licenses/>. # """ # Tests the Planner class. # """ # # standard library # import datetime # # third party # from django.test import TestCase # from django.utils import timezone # # local # from aggregator.pipes.models import PipeRateLimit # from aggregator.plumbers.models import Meter # from aggregator.pumproom.planner import Planner # from tests.fixture_manager import get_fixtures # class PlannerTestCase(TestCase): # """ # Base class for testing the Planner class. # """ # fixtures = get_fixtures(['pipes']) # @staticmethod # def _create_example_planner(): # """ # Helper mthods that returns an example Planner instance. # """ # delta = datetime.timedelta(seconds=30) # end_time = timezone.now() + delta # meter = Meter(end_time=end_time, remaining_calls=100) # ratelimit = PipeRateLimit.objects.get(pk=1) # Twitter Search API # return Planner(meter=meter, ratelimit=ratelimit) # def setUp(self): # super(PlannerTestCase, self).setUp() # self.planner = self._create_example_planner() # class GetTimeRemainingTestCase(PlannerTestCase): # """ # Tests the get_time_remaining_in_minutes method. # """ # def test_for_zero_time(self): # """ # Tests the get_time_remaining_in_minutes method when there is no time # remaining in the current rate-limit interval. # """ # meter = Meter(end_time=timezone.now()) # ratelimit = PipeRateLimit.objects.get(pk=1) # Twitter Search API # planner = Planner(meter=meter, ratelimit=ratelimit) # actual = planner.get_time_remaining_in_minutes() # self.assertAlmostEqual(actual, 0, delta=0.001) # def test_for_nonzero_time(self): # """ # Tests the get_time_remaining_in_minutes method when there is time # remaining in the current rate-limit interval. # """ # planner = self._create_example_planner() # actual = planner.get_time_remaining_in_minutes() # self.assertAlmostEqual(actual, 0.5, delta=0.001) # class CalculateQueryTimeTestCase(PlannerTestCase): # """ # Tests the calculate_query_time_in_minutes method. # """ # def test_for_0_queries_10_remaining(self): # """ # Tests the calculate_query_time_in_minutes method for no queries. # """ # actual = self.planner.calculate_query_time_in_minutes(0) # self.assertAlmostEqual(actual, 0, delta=0.001) # def test_under_limit(self): # """ # Tests the calculate_query_time_in_minutes method for a number of queries # less than the number remaining in the current rate-limit interval. # """ # actual = self.planner.calculate_query_time_in_minutes(50) # self.assertAlmostEqual(actual, 0, delta=0.001) # def test_over_limit_by_1_interval(self): # """ # Tests the calculate_query_time_in_minutes method for a number of queries # greater than the number remaining in the current rate-limit interval. # """ # actual = self.planner.calculate_query_time_in_minutes(300) # self.assertAlmostEqual(actual, 0.5, delta=0.001) # def test_over_limit_by_2_intervals(self): # """ # Tests the calculate_query_time_in_minutes method for a number of queries # greater than the number remaining in the current rate-limit interval and # the next interval. # """ # actual = self.planner.calculate_query_time_in_minutes(999) # self.assertAlmostEqual(actual, 15.5, delta=0.001) # def test_over_limit_by_3_intervals(self): # """ # Tests the calculate_query_time_in_minutes method for a number of queries # greater than the number remaining in the current rate-limit interval and # the next two intervals. # """ # actual = self.planner.calculate_query_time_in_minutes(1000) # self.assertAlmostEqual(actual, 30.5, delta=0.001)

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4,723

5.176471

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null

0

1

0

2

6e75cf1e9be606accbcd013aeb614e2ad0ce514a

256

py

Python

canvas/__main__.py

robinsax/canvas

6e8b9b260fdda868d687b562926a2038736ec56c

[ "Apache-2.0" ]

4

2018-01-24T01:34:39.000Z

2021-01-14T21:29:47.000Z

canvas/__main__.py

robinsax/canvas

6e8b9b260fdda868d687b562926a2038736ec56c

[ "Apache-2.0" ]

2

2018-06-09T22:28:56.000Z

2018-06-12T01:40:10.000Z

canvas/__main__.py

robinsax/canvas

6e8b9b260fdda868d687b562926a2038736ec56c

[ "Apache-2.0" ]

null

# coding: utf-8 ''' The entry point of canvas's CLI. ''' # Ensure canvas is importable. import sys sys.path.insert(0, '.') # Import and invoke the launch handler. from canvas import launch_cli launch_cli((str(),) if len(sys.argv) == 1 else sys.argv[1:])

19.692308

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256

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null

0

null

0

1

0

1

0

2

6e8d1ac45ed9400c770efb3476dd3bb9a8c33731

419

py

Python

test/python/importer/jit_ir/node_import/utils.py

burntfalafel/torch-mlir-internal

d3ef58450fc94e9337dc0434fa3af6dd7b54b37f

[ "Apache-2.0" ]

213

2021-09-24T03:26:53.000Z

2022-03-30T07:11:48.000Z

test/python/importer/jit_ir/node_import/utils.py

burntfalafel/torch-mlir-internal

d3ef58450fc94e9337dc0434fa3af6dd7b54b37f

[ "Apache-2.0" ]

247

2021-09-23T18:49:45.000Z

2022-03-31T17:19:02.000Z

test/python/importer/jit_ir/node_import/utils.py

burntfalafel/torch-mlir-internal

d3ef58450fc94e9337dc0434fa3af6dd7b54b37f

[ "Apache-2.0" ]

68

2021-09-23T18:23:20.000Z

2022-03-29T11:18:58.000Z

# -*- Python -*- # This file is licensed under a pytorch-style license # See LICENSE.pytorch for license information. # Helpers for the other tests. import torch from torch._C import CompilationUnit # RUN: %PYTHON %s # Import TorchScript IR string as ScriptFunction. def create_script_function(func_name, ts_ir_str): cu = CompilationUnit() return cu.create_function(func_name, torch._C.parse_ir(ts_ir_str))

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71

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0.865169

0.486874

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null

0

null

0

1

0

1

0

2

6e9212340db1525fd1f6beb2d6ba6ca618c696f8

1,677

py

Python

envipyarc/gptoolbox.py

envi-idl/envipyarc

a996ea5a2d4b49bf6ade720fbd3f8c68e5cac97c

[ "MIT" ]

null

envipyarc/gptoolbox.py

envi-idl/envipyarc

a996ea5a2d4b49bf6ade720fbd3f8c68e5cac97c

[ "MIT" ]

null

envipyarc/gptoolbox.py

envi-idl/envipyarc

a996ea5a2d4b49bf6ade720fbd3f8c68e5cac97c

[ "MIT" ]

null

""" The ENVI GPToolbox class is used to create python toolboxes capable of running \ ENVI/IDL analytics inside of ArcMap and ArcGIS Pro. Each generated toolbox contains \ one or more GPTools that are lightweight wrappers to running ENVI/IDL tasks through \ the taskengine. For more api documentation on GPToolbox you can \ view the envipyarclib :mod:`GPToolbox <envipyarclib:envipyarclib.gptoolbox>` class. """ from string import Template from envipyarclib import GPToolbox as BaseToolbox from . import templates _IMPORTS_TEMPLATE = Template(''' import os import time import arcpy from envipyengine import Task from envipyengine.error import TaskEngineExecutionError, TaskEngineNotFoundError ''') _EXECUTE_TEMPLATE = Template(''' task = Task("$taskUri") try: task_results = task.execute(input_params, cwd=arcpy.env.scratchFolder) except (TaskEngineExecutionError, TaskEngineNotFoundError) as err: messages.addErrorMessage("Task failed to execute") messages.addErrorMessage(err.args[0]) raise arcpy.ExecuteError task_results = task_results['outputParameters'] ''') class GPToolbox(BaseToolbox): # pylint: disable=too-few-public-methods """ Implementation of the envipyarclib \ :mod:`GPToolbox <envipyarclib:envipyarclib.gptoolbox>` class for ENVI/IDL. """ def __init__(self, tasks=None, alias='envi'): super(GPToolbox, self).__init__(tasks, alias, _IMPORTS_TEMPLATE, _EXECUTE_TEMPLATE, templates)

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1,677

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0

null

0

1

0

null

0

1

0

2

6e99584a09360d7139d742554382c0e9608aba6b

355

py

Python

main.py

aalsabag/LiveCaption

9170cda2b05d9c3016276adf409c62046226dca3

[ "MIT" ]

1

2021-03-25T17:22:15.000Z

main.py

aalsabag/LiveCaption

9170cda2b05d9c3016276adf409c62046226dca3

[ "MIT" ]

null

main.py

aalsabag/LiveCaption

9170cda2b05d9c3016276adf409c62046226dca3

[ "MIT" ]

1

2021-06-28T09:41:39.000Z

#!/usr/bin/env python3 import json from flask import Flask from flask.json import jsonify from vosk import KaldiRecognizer, Model, SetLogLevel app = Flask(__name__) @app.route('/hello', methods=['GET']) def hello_world(): return jsonify({'hello': 'world!!!'}) def main(): app.run(debug=True) if __name__ == "__main__": app.run(debug=True)

20.882353

52

0.698592

49

355

4.795918

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0.076596

0.085106

0.12766

0.161702

0

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0.146479

355

17

53

20.882353

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0.166667

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0

null

0

null

0

1

0

1

0

2

6ea44ace2337be42eea61f72184a54eec26b5fd2

547

py

Python

src/panoramic/cli/husky/core/tel/visitors/terminal_visitor.py

kubamahnert/panoramic-cli

036f45a05d39f5762088ce23dbe367b938192f79

[ "MIT" ]

5

2020-11-13T17:26:59.000Z

2021-03-19T15:11:26.000Z

src/panoramic/cli/husky/core/tel/visitors/terminal_visitor.py

kubamahnert/panoramic-cli

036f45a05d39f5762088ce23dbe367b938192f79

[ "MIT" ]

5

2020-10-28T10:22:35.000Z

2021-01-27T17:33:58.000Z

src/panoramic/cli/husky/core/tel/visitors/terminal_visitor.py

kubamahnert/panoramic-cli

036f45a05d39f5762088ce23dbe367b938192f79

[ "MIT" ]

3

2021-01-26T07:58:03.000Z

2021-03-11T13:28:34.000Z

from panoramic.cli.tel_grammar.TelParser import TelParser as AntlrTelParser from panoramic.cli.tel_grammar.TelVisitor import TelVisitor as AntlrTelVisitor class TelTerminalVisitor(AntlrTelVisitor): """ Visitor that will render all terminal nodes exactly as they are. """ def __init__(self): self._output = [] def visitTerminal(self, node): if node.symbol.type != AntlrTelParser.EOF: self._output.append(str(node)) @property def output_string(self): return ''.join(self._output)

27.35

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0.702011

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547

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0.080214

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0.101604

0.139037

0

0.20841

547

19

79

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0.863741

0.117002

0

1

0.272727

false

0

0.181818

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0.636364

0

null

0

null

0

1

0

1

0

2

6eaac839a433c6bd24c558f75d92e38aee869246

1,248

py

Python

src/dto/console_game_domain_dto.py

rafaelcorazzi/games-consumer

c0f59fcbf37a38e624044fef2a48a36fa986c920

[ "MIT" ]

null

src/dto/console_game_domain_dto.py

rafaelcorazzi/games-consumer

c0f59fcbf37a38e624044fef2a48a36fa986c920

[ "MIT" ]

null

src/dto/console_game_domain_dto.py

rafaelcorazzi/games-consumer

c0f59fcbf37a38e624044fef2a48a36fa986c920

[ "MIT" ]

null

from datetime import datetime from typing import List from marshmallow import Schema, fields, post_load from src.dto.common.base_dto import BaseDto class ConsoleGamesListDto(BaseDto): def __init__(self, console_code: str = None, reference_id: str = None, title: str = None, link: str = None): self.console_code = console_code self.reference_id = reference_id self.title = title self.link = link @staticmethod def mapper(data): return ConsoleGamesListDto(**data) class ConsoleGamesListDtoSchema(Schema): console_code = fields.Str() reference_id = fields.Str() title = fields.Str() link = fields.Str() @post_load def make_dto(self, data): return ConsoleGamesListDto(**data) class ConsoleGamesDto(BaseDto): def __init__(self, data: List[ConsoleGamesListDto] = None): self.data = data @staticmethod def mapper(data): return ConsoleGamesDto(**data) class ConsoleGamesDtoSchema(Schema): data = fields.List(fields.Nested(ConsoleGamesListDtoSchema)) code_transfer = fields.Int() @post_load def make_model(self, data): return ConsoleGamesDto.mapper(data)

24

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1,248

5.89781

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0.054455

0.034653

0.044554

0.158416

0

0.245994

1,248

52

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0.858661

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0.666667

0

null

0

null

0

1

0

2

6ebcacaaddff805e3b3a7dd2a2f688b83b85fad0

3,214

py

Python

tests/xbmcgui.py

dagwieers/plugin.video.fosdem

d2f7758159eb040b85dd4dccac009f10f519ca28

[ "MIT" ]

null

tests/xbmcgui.py

dagwieers/plugin.video.fosdem

d2f7758159eb040b85dd4dccac009f10f519ca28

[ "MIT" ]

null

tests/xbmcgui.py

dagwieers/plugin.video.fosdem

d2f7758159eb040b85dd4dccac009f10f519ca28

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright: (c) 2019, Dag Wieers (@dagwieers) <dag@wieers.com> # GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) """This file implements the Kodi xbmcgui module, either using stubs or alternative functionality""" # pylint: disable=invalid-name,unused-argument from __future__ import absolute_import, division, print_function, unicode_literals from xbmcextra import kodi_to_ansi class Dialog: """A reimplementation of the xbmcgui Dialog class""" def __init__(self): """A stub constructor for the xbmcgui Dialog class""" @staticmethod def ok(heading, message='', line1='', line2='', line3=''): """A stub implementation for the xbmcgui Dialog class ok() method""" heading = kodi_to_ansi(heading) message = kodi_to_ansi(message) print('\033[37;44;1mOK:\033[35;49;1m [%s] \033[37;1m%s\033[39;0m' % (heading, message or line1)) class ListItem: """A reimplementation of the xbmcgui ListItem class""" def __init__(self, label='', label2='', path='', offscreen=False): """A stub constructor for the xbmcgui ListItem class""" self.label = kodi_to_ansi(label) self.label2 = kodi_to_ansi(label2) self.path = path @staticmethod def addContextMenuItems(items, replaceItems=False): """A stub implementation for the xbmcgui ListItem class addContextMenuItems() method""" return @staticmethod def addStreamInfo(stream_type, stream_values): """A stub implementation for the xbmcgui LitItem class addStreamInfo() method""" return @staticmethod def setArt(key): """A stub implementation for the xbmcgui ListItem class setArt() method""" return @staticmethod def setContentLookup(enable): """A stub implementation for the xbmcgui ListItem class setContentLookup() method""" return @staticmethod def setInfo(type, infoLabels): # pylint: disable=redefined-builtin """A stub implementation for the xbmcgui ListItem class setInfo() method""" return @staticmethod def setIsFolder(isFolder): """A stub implementation for the xbmcgui ListItem class setIsFolder() method""" return @staticmethod def setMimeType(mimetype): """A stub implementation for the xbmcgui ListItem class setMimeType() method""" return def setPath(self, path): """A stub implementation for the xbmcgui ListItem class setPath() method""" self.path = path @staticmethod def setProperty(key, value): """A stub implementation for the xbmcgui ListItem class setProperty() method""" return @staticmethod def setProperties(dictionary): """A stub implementation for the xbmcgui ListItem class setProperties() method""" return @staticmethod def setSubtitles(subtitleFiles): """A stub implementation for the xbmcgui ListItem class setSubtitles() method""" return @staticmethod def setUniqueIDs(values, defaultrating=None): """A stub implementation for the xbmcgui ListItem class setUniqueIDs() method""" return

34.55914

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null

0

null

0

1

0

1

0

2

6ec3e398ad827a23e1d174f70ece7000e5ab2640

334

py

Python

Exercicios-Mundo1/ex018.py

WeDias/RespCEV

3cf0918c5c90e3b2d6dc7e57f2824436c639c04c

[ "MIT" ]

1

2021-02-19T05:13:31.000Z

Exercicios-Mundo1/ex018.py

WeDias/RespCEV

3cf0918c5c90e3b2d6dc7e57f2824436c639c04c

[ "MIT" ]

null

Exercicios-Mundo1/ex018.py

WeDias/RespCEV

3cf0918c5c90e3b2d6dc7e57f2824436c639c04c

[ "MIT" ]

null

import math ang = float(input('Digite o valor do Ângulo: ')) seno = float(math.sin(math.radians(ang))) coso = float(math.cos(math.radians(ang))) tang = float(math.tan(math.radians(ang))) print('O Seno Do Ângulo {0} é {1:.3f}\nO Cosseno Do Ângulo {0} é {2:.3f}\nA Tangente Do Ângulo {0} é {3:.3f}'.format(ang, seno, coso, tang))

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6ec98c3ebc5eb9c0268eb5a8cff500d41dea7df4

370

py

Python

Chapter13/excise2.py

lixuekai2001/python.Hello-World-Computer-Programming-for-Kids-and-Other-Beginners

e2caaf58af4d2d2ff541d9e7e78f9e5f0778a293

[ "Apache-2.0" ]

3

2020-03-09T00:35:22.000Z

2020-10-29T06:26:46.000Z

Chapter13/excise2.py

lixuekai2001/python.Hello-World-Computer-Programming-for-Kids-and-Other-Beginners

e2caaf58af4d2d2ff541d9e7e78f9e5f0778a293

[ "Apache-2.0" ]

null

Chapter13/excise2.py

lixuekai2001/python.Hello-World-Computer-Programming-for-Kids-and-Other-Beginners

e2caaf58af4d2d2ff541d9e7e78f9e5f0778a293

[ "Apache-2.0" ]

4

2020-10-29T06:26:48.000Z

2021-09-18T13:41:13.000Z

def printAddr (name, num ,str, city, prov ,pcode, country): print name print num, print str print city, if prov != "": print ", "+prov else: print "" print pcode print country print printAddr("tom","43","Main St.","Caton","Guangdong","110011","China") printAddr("jack","22","2nd Ave.","Hong Kong","","23456","China")

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null

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null

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1

0

2

6ee4db4f0f65570071443f55f2f9853699381d5a

1,192

py

Python

hdpview/src/utils/generative_model.py

FumiyukiKato/PrivBTS

d2fae18588b24281d0968b8af09dc9295e73cdda

[ "Apache-2.0" ]

null

hdpview/src/utils/generative_model.py

FumiyukiKato/PrivBTS

d2fae18588b24281d0968b8af09dc9295e73cdda

[ "Apache-2.0" ]

null

hdpview/src/utils/generative_model.py

FumiyukiKato/PrivBTS

d2fae18588b24281d0968b8af09dc9295e73cdda

[ "Apache-2.0" ]

null

from algorithm.hdpview import HDPView """ For data synthesis task. """ class HDPViewSampler: @classmethod def make_model(cls, prng): return cls(prng) def __init__(self, prng): self.prng = prng def train(self, ct, epsilon, label_attr, ratio=0.9, alpha=1.6, beta=1.2, gamma=0.9): is_classification = True p_view, _ = HDPView(ct, epsilon, self.prng, ratio, alpha, beta, gamma, is_classification, label_attr) self.p_view = p_view def generate_data(self, n_data): data = self.p_view.random_sample(self.prng, n_data) return data class NonDPHistogram: @classmethod def make_model(cls, prng): return cls(prng) def __init__(self, prng): self.prng = prng def train(self, ct): distribution = ct.pd_table.values.flatten() / ct.pd_table.values.sum() self.data = ct.pd_table.index self.distribution = distribution def generate_data(self, size): indices = self.prng.choice(a=range(len(self.distribution)), size=size, p=self.distribution, replace=True) return self.data[indices].to_frame(index=False)

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null

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null

0

1

0

1

0

2

6eee40ab5872d6874d2740ecfe883855be015d0d

391

py

Python

src/main/handlers/index.py

Mono20i06/tms-z43

007d51fd2e88698f8a6176c70583c379129d7d0c

[ "MIT" ]

null

src/main/handlers/index.py

Mono20i06/tms-z43

007d51fd2e88698f8a6176c70583c379129d7d0c

[ "MIT" ]

8

2021-01-10T09:38:54.000Z

2021-02-28T12:33:58.000Z

src/main/handlers/index.py

vadimkondratovich/asd

5f2db494f739ea663795c5d4a924ced942cb1852

[ "MIT" ]

null

from random import randint from main.custom_types import RequestT from main.custom_types import ResponseT from main.util import render_template TEMPLATE = "index.html" def handler(_request: RequestT) -> ResponseT: context = {"random_number": randint(100000, 999999)} document = render_template(TEMPLATE, context) response = ResponseT(payload=document) return response

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null

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null

0

1

0

1

0

2

42cc6114fb1e33ced6bdc022a34922b180e85e90

10,357

py

Python

LUH2/GLM/preprocess_GCAM.py

ritviksahajpal/LUH2

aec79f737aebcaa273de5f8f1aeadd3317d03aa4

[ "MIT" ]

null

LUH2/GLM/preprocess_GCAM.py

ritviksahajpal/LUH2

aec79f737aebcaa273de5f8f1aeadd3317d03aa4

[ "MIT" ]

null

LUH2/GLM/preprocess_GCAM.py

ritviksahajpal/LUH2

aec79f737aebcaa273de5f8f1aeadd3317d03aa4

[ "MIT" ]

null

import logging import numpy as np import pandas import constants import pygeoutil.util as util from preprocess_IAM import IAM class GCAM(IAM): """ Class for GCAM """ def __init__(self, path_nc): IAM.__init__(self, 'GCAM', path_nc) self.land_var = 'landcoverpercentage' # Input file paths self.path_pas = constants.gcam_dir + constants.PASTURE[0] self.path_frt = constants.gcam_dir + constants.FOREST[0] self.path_urb = constants.gcam_dir + constants.URBAN[0] self.path_wh = constants.gcam_dir + constants.WOOD_HARVEST self.path_ftz = constants.gcam_dir + constants.FERT_DATA # Output directories self.gcam_out_fl = constants.out_dir+constants.GCAM_OUT self.perc_crops_fl = constants.out_dir+constants.GCAM_CROPS def AEZ_to_national_GCAM(self, data_source = 'wh', out_nc_name = ''): """ :param data_source: :param out_nc_name: :return: """ # Create a dictionary mapping GCAM AEZ's to regions if data_source == 'wh': df = util.open_or_die(self.path_wh) elif data_source == 'ftz': # fertilizer data df = util.open_or_die(self.path_ftz) # Insert columns so that we have data for each year idx = 1 for yr in xrange(constants.GCAM_START_YR + 1, constants.GCAM_END_YR): # Skip years for which we already have data i.e. multiples of constants.GCAM_STEP_YR if yr%constants.GCAM_STEP_YR != 0: df.insert(constants.SKIP_GCAM_COLS + idx, str(yr), np.nan) idx += 1 # Extract columns with information on GCAM regions gcam_df = df[['region', 'subsector']] # Fill in missing values, note that using interpolate df = df.ix[:, str(constants.GCAM_START_YR):str(constants.GCAM_END_YR)] df = df.interpolate(axis = 1) # Concatenate df = pandas.concat([gcam_df, df], axis=1, join='inner') # Extract "Russia", "Central Asia", "EU-12", and "Europe-Eastern" into a single larger region with region code 33 merg_df = df.loc[df['region'].isin(['Russia', 'Central Asia', 'EU-12', 'Europe-Eastern'])] # Create a new row with data for USSR or region code 33 new_row = ['USSR', 'subsector'] new_row.extend(merg_df.ix[:, 2:].sum().tolist()) # Add newly created row to dataframe df.loc[len(df.index)] = np.array(new_row) # Group dataframe by region df = df.groupby('region').sum() # Remove the subsector column since it interferes with netCDF creation later df.drop('subsector', axis=1, inplace=True) # Read in GCAM region country mapping xdf = util.open_or_die(constants.gcam_dir + constants.GCAM_MAPPING) map_xdf = xdf.parse("Sheet1") df_dict = dict((z[0],list(z[1:])) for z in zip(map_xdf['country ISO code'], map_xdf['Modified GCAM Regions'], map_xdf['GCAM REGION NAME'], map_xdf['country-to-region WH ratios'])) # Create WH output netCDF onc = util.open_or_die(constants.out_dir + out_nc_name + '_' + str(constants.GCAM_START_YR) + '_' + str(constants.GCAM_END_YR) + '.nc', 'w') # dimensions onc.createDimension('country_code', len(df_dict.keys())) onc.createDimension('time', constants.GCAM_END_YR - constants.GCAM_START_YR + 1) # variables country_code = onc.createVariable('country_code', 'i4', ('country_code',)) time = onc.createVariable('time', 'i4', ('time',)) data = onc.createVariable(out_nc_name, 'f4', ('country_code', 'time',)) # Metadata country_code.long_name = 'country_code' country_code.units = 'index' country_code.standard_name = 'country_code' time.units = 'year as %Y.%f' time.calendar = 'proleptic_gregorian' if data_source == 'wh': data.units = 'MgC' data.long_name = 'wood harvest carbon' elif data_source == 'ftz': print 'TODO!!' # Assign data time[:] = np.arange(constants.GCAM_START_YR, constants.GCAM_END_YR + 1) country_code[:] = sorted(df_dict.keys()) for idx, ctr in enumerate(country_code[:]): # Get GCAM region corresponding to country gcam_reg = df_dict.get(ctr)[1] # GCAM region identifier gcam_mul = df_dict.get(ctr)[2] # GCAM country-to-region WH ratios try: # @TODO: Need to finalize woodharvest calculation # @TODO: Generalize for data other than wood harvest data[idx, :] = df.ix[gcam_reg].values.astype(float) * 0.225 * constants.BILLION * gcam_mul # @TODO: Multiply by 1.3 to account for slash fraction except: data[idx, :] = np.zeros(len(time[:])) onc.close() def create_GCAM_croplands(self, nc): """ :param nc: Empty 3D numpy array (yrs,ny,nx) :return nc: 3D numpy array containing SUM of all GCAM cropland percentages """ # Iterate over all crop categories and add the self.land_var data for i in range(len(constants.CROPS)): print('Processing: ' + constants.CROPS[i]) logging.info('Processing: ' + constants.CROPS[i]) ds = util.open_or_die(constants.gcam_dir+constants.CROPS[i]) for j in range(len(self.time)): nc[j,:,:] += ds.variables[self.land_var][j,:,:].data ds.close() # @TODO: Test whether sum of all self.land_var in a given year is <= 1.0 return nc def create_nc_perc_croplands(self, sum_nc, shape): """ Create netcdf file with each crop category represented as fraction of cropland area and not total grid cell area :param sum_nc: netCDF file containing 'croplands' which is fraction of area of cell occupied by all croplands :param shape: Tuple containing dimensions of netCDF (yrs, ny, nx) :return: None """ print 'Creating cropland nc' logging.info('Creating cropland nc') inc = util.open_or_die(sum_nc) onc = util.open_or_die(self.perc_crops_fl, 'w') onc.description = 'crops_as_fraction_of_croplands' # dimensions onc.createDimension('time',shape[0]) onc.createDimension('lat', shape[1]) onc.createDimension('lon', shape[2]) # variables time = onc.createVariable('time', 'i4', ('time',)) latitudes = onc.createVariable('lat', 'f4', ('lat',)) longitudes = onc.createVariable('lon', 'f4', ('lon',)) # Metadata latitudes.units = 'degrees_north' latitudes.standard_name = 'latitude' longitudes.units = 'degrees_east' longitudes.standard_name = 'longitude' # Assign time time[:] = self.time # Assign lats/lons latitudes[:] = self.lat longitudes[:] = self.lon # Assign data for i in range(len(constants.CROPS)): print '\t'+constants.CROPS[i] onc_var = onc.createVariable(constants.CROPS[i], 'f4', ('time', 'lat', 'lon',),fill_value=np.nan) onc_var.units = 'percentage' ds = util.open_or_die(constants.gcam_dir+constants.CROPS[i]) # Iterate over all years for j in range(shape[0]): onc_var[j,:,:] = ds.variables[self.land_var][j,:,:].data / inc.variables['cropland'][j,:,:] ds.close() # @TODO: Copy metadata from original GCAM netcdf onc.close() def write_GCAM_nc(self, isum_perc, shape): """ :param isum_perc: Sum of self.land_var values for all crop classes :param shape: Tuple containing dimensions of netCDF (yrs, ny, nx) :return: Nothing, side-effect is to create a netCDF file with each crop category represented as fraction of cropland area and not total grid cell area """ print 'Creating GCAM file' logging.info('Creating GCAM file') # Read in netCDF datasets ids_pas = util.open_or_die(self.path_pas) ids_frt = util.open_or_die(self.path_frt) ids_urb = util.open_or_die(self.path_urb) iam_nc = util.open_or_die(self.gcam_out_fl, perm = 'w') iam_nc.description = 'GCAM' # dimensions iam_nc.createDimension('time',shape[0]) iam_nc.createDimension('lat', shape[1]) iam_nc.createDimension('lon', shape[2]) # variables time = iam_nc.createVariable('time', 'i4', ('time',)) latitudes = iam_nc.createVariable('lat', 'f4', ('lat',)) longitudes = iam_nc.createVariable('lon', 'f4', ('lon',)) crp = iam_nc.createVariable('cropland', 'f4', ('time', 'lat', 'lon',),fill_value=np.nan) pas = iam_nc.createVariable('pasture', 'f4', ('time', 'lat', 'lon',),fill_value=np.nan) frt = iam_nc.createVariable('forest', 'f4', ('time', 'lat', 'lon',),fill_value=np.nan) urb = iam_nc.createVariable('urban', 'f4', ('time', 'lat', 'lon',),fill_value=np.nan) # Metadata crp.units = 'percentage' pas.units = 'percentage' frt.units = 'percentage' urb.units = 'percentage' latitudes.units = 'degrees_north' latitudes.standard_name = 'latitude' longitudes.units = 'degrees_east' longitudes.standard_name = 'longitude' # Assign time time[:] = self.time # Assign lats/lons latitudes[:] = self.lat longitudes[:] = self.lon # Assign data to new netCDF file for i in range(len(self.time)): crp[i,:,:] = isum_perc[i,:,:] pas[i,:,:] = ids_pas.variables[self.land_var][i,:,:].data frt[i,:,:] = ids_frt.variables[self.land_var][i,:,:].data urb[i,:,:] = ids_urb.variables[self.land_var][i,:,:].data # @TODO: Copy metadata from original GCAM netcdf ids_pas.close() ids_frt.close() ids_urb.close() iam_nc.close()

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42ecbbc6123b69809d8b2641efead142cdb92f46

1,025

py

Python

scripts/rawdata/pytreeros/refills-project_refills_second_review_arm_movement_behavior.py

RazanGhzouli/Behavior-Trees-in-Action

36d1b62b55dcc748679054fb5cc13235261a5856

[ "MIT" ]

2

2021-03-12T14:22:41.000Z

2022-01-30T12:57:08.000Z

scripts/rawdata/pytreeros/refills-project_refills_second_review_arm_movement_behavior.py

RazanGhzouli/Behavior-Trees-in-Action

36d1b62b55dcc748679054fb5cc13235261a5856

[ "MIT" ]

null

scripts/rawdata/pytreeros/refills-project_refills_second_review_arm_movement_behavior.py

RazanGhzouli/Behavior-Trees-in-Action

36d1b62b55dcc748679054fb5cc13235261a5856

[ "MIT" ]

null

from py_trees import Status, Blackboard from control_msgs.msg import FollowJointTrajectoryAction, FollowJointTrajectoryGoal from py_trees_ros.actions import ActionClient class ArmMovementBehavior(ActionClient): def __init__(self, name="", action_namespace='/whole_body_controller/follow_joint_trajectory'): super(ArmMovementBehavior, self).__init__(name=name, action_spec=FollowJointTrajectoryAction, action_namespace=action_namespace) # def setup(self, timeout): # return super(ShelfNavigationBehavior, self).setup(timeout) def initialise(self): super(ArmMovementBehavior, self).initialise() self.action_goal = FollowJointTrajectoryGoal() self.action_goal.trajectory = Blackboard().get("arm_trajectory") def update(self): if not self.action_goal.trajectory: return Status.FAILURE return super(ArmMovementBehavior, self).update() # def terminate(self, new_status): # super(ShelfNavigationBehavior, self).terminate(new_status)

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42f0c1ce1ecb80ed35cc6ca27678b013c8d1b314

389

py

Python

src/__main__.py

haihala/space-tavern

c5e819c71fa561a9065cb3969a6b1625205f2fd0

[ "MIT" ]

null

src/__main__.py

haihala/space-tavern

c5e819c71fa561a9065cb3969a6b1625205f2fd0

[ "MIT" ]

null

src/__main__.py

haihala/space-tavern

c5e819c71fa561a9065cb3969a6b1625205f2fd0

[ "MIT" ]

null

from constants import CONFPATH from engine import Engine from json import load, dump from os import mkdir import sys from os.path import isdir, isfile, dirname def load_config(): with open(CONFPATH) as f: return load(f) def main(resolution): engine = Engine(load_config(), resolution) engine.run() if __name__=="__main__": main([int(i) for i in sys.argv[1:3]])

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null

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null

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1

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2

42fd0630c8ef6a6c73639b6d7a9278fe5048f1c2

273

py

Python

usaspending_api/views.py

truthiswill/usaspending-api

bd7d915442e2ec94cc830c480ceeffd4479be6c0

[ "CC0-1.0" ]

null

usaspending_api/views.py

truthiswill/usaspending-api

bd7d915442e2ec94cc830c480ceeffd4479be6c0

[ "CC0-1.0" ]

3

2020-02-12T01:16:46.000Z

2021-06-10T20:36:57.000Z

usaspending_api/views.py

truthiswill/usaspending-api

bd7d915442e2ec94cc830c480ceeffd4479be6c0

[ "CC0-1.0" ]

null

from django.http import HttpResponse from django.views import View import json class StatusView(View): def get(self, request, format=None): response_object = { "status": "running" } return HttpResponse(json.dumps(response_object))

22.75

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null

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null

0

1

0

1

0

2

6e0d4ea88408c4581b91f97fff19092653097b98

1,489

py

Python

PRINCESSCF/introduce/models.py

KnS-hacks/1-PrincessDFM-BE

44073783c3591305ed93378b24693cf86c7ff1ee

[ "MIT" ]

null

PRINCESSCF/introduce/models.py

KnS-hacks/1-PrincessDFM-BE

44073783c3591305ed93378b24693cf86c7ff1ee

[ "MIT" ]

3

2021-11-18T10:18:40.000Z

2021-11-19T05:24:10.000Z

PRINCESSCF/introduce/models.py

KnS-hacks/1-PrincessDFM-BE

44073783c3591305ed93378b24693cf86c7ff1ee

[ "MIT" ]

null

from django.db import models class HashTag(models.Model): name = models.CharField(primary_key=True, max_length=20) def __str__(self): return self.name class MBTI(models.Model): name = models.CharField(primary_key=True, max_length=20) def __str__(self): return self.name class Participate(models.Model): name = models.CharField(primary_key=True, max_length=20) def __str__(self): return self.name class Interest(models.Model): name = models.CharField(primary_key=True, max_length=20) def __str__(self): return self.name class Member(models.Model): id = models.BigAutoField(primary_key=True) school = models.CharField(max_length=100, null=True) name = models.CharField(max_length=10) introduce = models.CharField(null=True, blank=True, max_length=1000) motto = models.CharField(null=True, blank=True, max_length=1000) team = models.IntegerField(null=True) participate = models.ManyToManyField(Participate, blank=True) interest = models.ManyToManyField(Interest, blank=True) mbti = models.ManyToManyField(MBTI, blank=True) hashtag = models.ManyToManyField(HashTag, blank=True) github = models.URLField(blank=True, null=True, max_length=100) instagram = models.URLField(blank=True, null=True, max_length=100) pic = models.URLField(blank=True, null=True, max_length=100) def __str__(self): return self.name class Meta: ordering = ['team']

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null

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6e280c8c7704a013562649864b9ea24a57b9b2d1

237

py

Python

modules/pyttsx_speak.py

Marvin-Virtual-Assistant/Marvin-v3-client

b3f40051ca5fe75ca73ffe9da7ac0dbf1ac61d31

[ "Apache-2.0" ]

3

2018-10-13T02:53:53.000Z

2020-10-14T02:33:36.000Z

modules/pyttsx_speak.py

Marvin-Virtual-Assistant/Marvin-v3-client

b3f40051ca5fe75ca73ffe9da7ac0dbf1ac61d31

[ "Apache-2.0" ]

null

modules/pyttsx_speak.py

Marvin-Virtual-Assistant/Marvin-v3-client

b3f40051ca5fe75ca73ffe9da7ac0dbf1ac61d31

[ "Apache-2.0" ]

2

2018-10-26T04:28:16.000Z

2018-12-25T08:11:00.000Z

# env imports from os import path from marvinenv.lib.sitepackages import pyttsx3 def pyttsx_speak(tts): # function to speak with engine engine = pyttsx3.init() engine.say(tts) # que tts data engine.runAndWait() # speak text

26.333333

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0.734177

34

237

5.088235

0.705882

0

0.010363

0.185654

237

8

55

29.625

0.88601

0.274262

0

1

0.166667

false

0

0.333333

0

0.5

0

null

0

1

0

null

0

1

0

2

6e2dd111a47fbe34d6ccf79fa5d43d4e31e00362

177

py

Python

soma.py

gersonraniery/Exercicios

1f72b1b5e012eee1d90edb50adfe1d60598edb2b

[ "MIT" ]

null

soma.py

gersonraniery/Exercicios

1f72b1b5e012eee1d90edb50adfe1d60598edb2b

[ "MIT" ]

null

soma.py

gersonraniery/Exercicios

1f72b1b5e012eee1d90edb50adfe1d60598edb2b

[ "MIT" ]

null

#Criando um algoritmo para somar duas variáveis a = int(input('Digite um valor:')) b = int(input('Digite outro valor: ')) soma = a+b print(f'A soma entre {a} e {b} é {soma}.')

25.285714

47

0.661017

32

177

3.65625

0.625

0.136752

0.239316

0

0.169492

177

6

48

29.5

0.795918

0.259887

0

0.523077

0

1

0

false

0

0.25

0

null

0

1

0

1

0

null

0

2

281cb8bdfa0e19b583b71d226c20d68a853086e6

388

py

Python

tests/test_cursor.py

adh/ctds

8c8b562341fb9635e3d89013ff06ffc6b1397abb

[ "MIT" ]

78

2016-03-14T18:02:05.000Z

2021-11-26T23:23:06.000Z

tests/test_cursor.py

adh/ctds

8c8b562341fb9635e3d89013ff06ffc6b1397abb

[ "MIT" ]

64

2016-10-18T17:54:08.000Z

2021-09-30T11:01:02.000Z

tests/test_cursor.py

adh/ctds

8c8b562341fb9635e3d89013ff06ffc6b1397abb

[ "MIT" ]

17

2016-07-21T20:22:12.000Z

2020-11-07T01:25:26.000Z

import ctds from .base import TestExternalDatabase class TestCursor(TestExternalDatabase): def test___doc__(self): self.assertEqual( ctds.Cursor.__doc__, '''\ A database cursor used to manage the context of a fetch operation. :pep:`0249#cursor-objects` ''' ) def test_typeerror(self): self.assertRaises(TypeError, ctds.Cursor)

20.421053

66

0.670103

43

388

5.813953

0.651163

0.056

0

0.013559

0.239691

388

18

67

21.555556

0.833898

0

0.222222

1

0.222222

false

0

0.222222

0

0.555556

0

null

0

null

0

1

0

1

0

2

281e2505b4bdcee6d43687b724f4289249d99d2b

1,214

py

Python

dyce/symmetries.py

posita/dyce

aa0180cc1e3607e552e45f9d03af7de667838aea

[ "MIT" ]

18

2021-07-08T07:04:48.000Z

2022-03-25T07:42:50.000Z

dyce/symmetries.py

posita/dyce

aa0180cc1e3607e552e45f9d03af7de667838aea

[ "MIT" ]

6

2021-07-21T23:40:41.000Z

2022-01-08T14:50:53.000Z

dyce/symmetries.py

posita/dyce

aa0180cc1e3607e552e45f9d03af7de667838aea

[ "MIT" ]

null

# ====================================================================================== # Copyright and other protections apply. Please see the accompanying LICENSE file for # rights and restrictions governing use of this software. All rights not expressly # waived or licensed are reserved. If that file is missing or appears to be modified # from its original, then please contact the author before viewing or using this # software in any capacity. # ====================================================================================== from __future__ import annotations import sys __all__ = ( "comb", "gcd", ) # ---- Functions ----------------------------------------------------------------------- if sys.version_info >= (3, 9): from math import gcd else: from functools import reduce from math import gcd as _gcd def gcd(*integers: int) -> int: return reduce(_gcd, integers, 0) if sys.version_info >= (3, 8): from math import comb else: from fractions import Fraction from math import factorial def comb(__n: int, __k: int) -> int: return int( Fraction(Fraction(factorial(__n), factorial(__k)), factorial(__n - __k)) )

28.904762

88

0.547776

134

1,214

4.783582

0.552239

0.049922

0.087363

0.049922

0.053042

0

0.005081

0.189456

1,214

41

89

29.609756

0.646341

0.504942

0

0.090909

0

0.011824

0

1

0.090909

false

0

0.363636

0.090909

0.545455

0

null

0

null

0

1

0

1

0

2

2839a34e28511b73281f663b11ca618fd836bad5

135

py

Python

P.P.P/arithmetic oprators.py

sadique720/python-basics

29786e617dcccbfcb73a213cd3d73fc545b837c3

[ "MIT" ]

2

2019-05-28T10:55:12.000Z

2019-05-28T10:55:14.000Z

P.P.P/arithmetic oprators.py

sadique720/python-basics

29786e617dcccbfcb73a213cd3d73fc545b837c3

[ "MIT" ]

null

P.P.P/arithmetic oprators.py

sadique720/python-basics

29786e617dcccbfcb73a213cd3d73fc545b837c3

[ "MIT" ]

null

a=10 b=20 a+b #addition a/b #divde a-b #substraction a*b #multiplication a%b #reminder a**b #exponent a//b #floor devision

13.5

21

0.651852

26

135

3.384615

0.461538

0.159091

0

0.037736

0.214815

135

9

22

15

0.792453

0.511111

0

1

0

false

0

1

0

null

0

1

0

null

0

2

284d04cc695de4adfd6e3c6ac25d8544ba1b3947

755

py

Python

pytma/tests/test_utility.py

aloidia-solutions/nlp-modelling

cc181bf08c5f93d6949d47bb5212dcefb336279d

[ "MIT" ]

1

2019-07-25T21:18:10.000Z

pytma/tests/test_utility.py

brucebcampbell/nlp-modelling

b6e5b6c5b2df7cc20e7de68f32d164981353aaf9

[ "MIT" ]

13

2019-08-08T15:42:27.000Z

2019-09-29T20:34:14.000Z

pytma/tests/test_utility.py

aloidia-solutions/nlp-modelling

cc181bf08c5f93d6949d47bb5212dcefb336279d

[ "MIT" ]

1

2019-10-23T19:51:41.000Z

import pytest import pytma from pytma import Utility from pytma.Utility import LogError def test_logger(): """ Testing the logging helper. """ log = Utility.Logger('.', "test_pytma") try: log.info("information") except LogError: pytest.fail("Unexpected LogError ..") try: log.debug("debugging info") except LogError: pytest.fail("Unexpected LogError ..") try: log.warning("warning") except LogError: pytest.fail("Unexpected LogError ..") try: log.error("error") except LogError: pytest.fail("Unexpected LogError ..") try: log.critical("critical message") except LogError: pytest.fail("Unexpected LogError ..")

19.358974

45

0.606623

77

755

5.922078

0.337662

0.065789

0.219298

0.263158

0.513158

0.421053

0

0.272848

755

38

46

19.868421

0.830601

0.035762

0

0.576923

0

0.244726

0

1

0.038462

false

0

0.153846

0

0.192308

0

null

0

1

0

null

0

2

28596eea00f6e54a8cb03d3c432442a23adfaaa3

267

py

Python

mqtt/mqtt_publish.py

wichmann/RaspPI

168609cb237e59a4c895eae798c0dab052aab38b

[ "MIT" ]

null

mqtt/mqtt_publish.py

wichmann/RaspPI

168609cb237e59a4c895eae798c0dab052aab38b

[ "MIT" ]

null

mqtt/mqtt_publish.py

wichmann/RaspPI

168609cb237e59a4c895eae798c0dab052aab38b

[ "MIT" ]

null

#! /usr/bin/env python3 # Notwendige Bibliothek installieren: # pip3 install paho-mqtt import paho.mqtt.publish as publish # veröffentliche eine neue Nachricht unter dem angegebenen Thema publish.single("test/topic", "nachricht", hostname="192.168.24.132")

20.538462

68

0.756554

35

267

5.771429

0.857143

0.079208

0

0.056522

0.138577

267

12

69

22.25

0.821739

0.554307

0

0.289474

0

1

0

true

0

0.5

0

0.5

0

null

0

null

0

1

0

1

0

2

285dcd4b75654f6a7374b0d636b6381ae2a00dbc

425

py

Python

dataset_toolkit/Export/AbstractExport.py

PeloriTech/DatasetToolkit

e11e709b59b8d3bbc0e322489f02f1307f251368

[ "MIT" ]

null

dataset_toolkit/Export/AbstractExport.py

PeloriTech/DatasetToolkit

e11e709b59b8d3bbc0e322489f02f1307f251368

[ "MIT" ]

null

dataset_toolkit/Export/AbstractExport.py

PeloriTech/DatasetToolkit

e11e709b59b8d3bbc0e322489f02f1307f251368

[ "MIT" ]

null

from abc import ABC, abstractmethod from dataset_toolkit.Model.AnnotationModel import AnnotationModel class AbstractExport(ABC): @abstractmethod def start(self): pass @abstractmethod def append(self, new_dataset_dir: str, new_annotations_dir: str, annotation_model: AnnotationModel, new_annotation_filename: str): pass @abstractmethod def close(self): pass

22.368421

80

0.705882

45

425

6.488889

0.488889

0.174658

0.143836

0

0.232941

425

19

81

22.368421

0.895706

0

0.461538

0

1

0.230769

false

0.230769

0.153846

0

0.461538

0

null

0

null

0

1

0

1

0

2

2862b6ea36d735d587eb2a3602956ee0c3330a8e

1,375

py

Python

haasomeapi/dataobjects/custombots/ScriptBot.py

iamcos/haasomeapi

eac1640cc13e1e7649b8a8d6ed88184722c907c8

[ "MIT" ]

9

2018-07-08T22:40:53.000Z

2022-03-21T20:32:43.000Z

haasomeapi/dataobjects/custombots/ScriptBot.py

iamcos/haasomeapi

eac1640cc13e1e7649b8a8d6ed88184722c907c8

[ "MIT" ]

5

2018-08-25T11:48:05.000Z

2019-12-12T19:57:20.000Z

haasomeapi/dataobjects/custombots/ScriptBot.py

iamcos/haasomeapi

eac1640cc13e1e7649b8a8d6ed88184722c907c8

[ "MIT" ]

6

2018-08-31T23:49:36.000Z

2022-01-08T04:51:21.000Z

from typing import Dict from typing import List from haasomeapi.dataobjects.custombots.BaseCustomBot import BaseCustomBot from haasomeapi.dataobjects.custombots.dataobjects.IndicatorOption import IndicatorOption from haasomeapi.dataobjects.custombots.dataobjects.ScriptBotOrder import ScriptBotOrder class ScriptBot(BaseCustomBot): """ Data Object containing a Script Bot :ivar openOrders = Dict[str, :class:`~haasomeapi.dataobjects.custombots.dataobjects.ScriptBotOrder`]: :ivar finishedOrder = List[str]: :ivar cancelledOrders = List[str]: :ivar availableScript = Dict[str, str]: :ivar scriptId: str: :ivar fullScriptName: str: :ivar botSettings: List[:class:`~haasomeapi.dataobjects.custombots.dataobjects.IndicatorOption`]: :ivar scriptStatusOk: bool: :ivar localScriptPath: str: :ivar lastLongBuyPrice: float: :ivar lastShortBuyPrice: float: :ivar lastLongSellPrice: float: :ivar lastShortSellPrice: float: """ openOrders = Dict[str, ScriptBotOrder] finishedOrder = List[str] cancelledOrders = List[str] availableScript = Dict[str, str] scriptId: str fullScriptName: str botSettings: List[IndicatorOption] scriptStatusOk: bool localScriptPath: str lastLongBuyPrice: float lastShortBuyPrice: float lastLongSellPrice: float lastShortSellPrice: float

30.555556

105

0.750545

129

1,375

8

0.27907

0.040698

0.150194

0.162791

0.236434

0

0.166545

1,375

44

106

31.25

0.900524

0.418909

0

1

0

false

0

0.263158

0

1

0

null

0

1

0

null

0

1

0

2

2862e4d64497eed04f5f94d32b2828f6b7ffc9f8

306

py

Python

test/redis_node.py

jbfavre/dynomite

16316ebd317a04f282f81d84864ae83a23472007

[ "Apache-2.0" ]

18

2016-05-12T18:01:32.000Z

2021-09-27T08:45:48.000Z

test/redis_node.py

jbfavre/dynomite

16316ebd317a04f282f81d84864ae83a23472007

[ "Apache-2.0" ]

null

test/redis_node.py

jbfavre/dynomite

16316ebd317a04f282f81d84864ae83a23472007

[ "Apache-2.0" ]

1

2021-06-17T06:07:07.000Z

#!/usr/bin/python import redis from node import Node class RedisNode(Node): def __init__(self, host, ip, port): super(RedisNode, self).__init__(host, ip, port) self.name = "Redis" + self.name def get_connection(self): return redis.StrictRedis(self.host, self.port, db=0)

23.538462

60

0.663399

43

306

4.511628

0.534884

0.082474

0.103093

0

0.004132

0.20915

306

12

61

25.5

0.797521

0.052288

0

0.017301

0

1

0.25

false

0

0.25

0.125

0.75

0

null

0

null

0

1

0

1

0

2

286bb810282eac89f576f313a1f10e820c1e1733

497

py

Python

versions/gslversions.py

mjmottram/snoing

fc0167cb7492a47f6541f3a30691083d9ae1578d

[ "MIT" ]

null

versions/gslversions.py

mjmottram/snoing

fc0167cb7492a47f6541f3a30691083d9ae1578d

[ "MIT" ]

null

versions/gslversions.py

mjmottram/snoing

fc0167cb7492a47f6541f3a30691083d9ae1578d

[ "MIT" ]

null

#!/usr/bin/env python # # GSLVersions # # GSL releases: ROOT seems to require GSL 1.1 # # Author: # - 2015-06-05 M Mottram <m.mottram@qmul.ac.uk> first instance # #################################################################################################### import gsl class Gsl116(gsl.Gsl): """ Package for gsl. """ def __init__(self, system): """ Initialize the package, set the name.""" super(Gsl116, self).__init__("gsl-1.16", system, "gsl-1.16.tar.gz")

23.666667

100

0.496982

59

497

4.050847

0.677966

0.050209

0

0.053269

0.169014

497

20

101

24.85

0.525424

0.406439

0

0.132184

0

1

0.25

false

0

0.25

0

0.75

0

null

0

null

0

1

0

1

0

2

286f87c478d4969fc74057c1bb96233774f180b5

836

py

Python

model.py

man4321/messenger-new

45aa00327ddbedb7ed227b1d93a8b1f1810caa02

[ "MIT" ]

1

2020-09-09T06:03:48.000Z

model.py

man4321/messenger-new

45aa00327ddbedb7ed227b1d93a8b1f1810caa02

[ "MIT" ]

3

2020-06-18T15:09:28.000Z

2022-03-02T04:42:34.000Z

model.py

man4321/messenger-new

45aa00327ddbedb7ed227b1d93a8b1f1810caa02

[ "MIT" ]

null

from google.appengine.ext import ndb from google.appengine.api import users import webapp2 class User(ndb.Model): firstname=ndb.StringProperty() lastname=ndb.StringProperty() username=ndb.StringProperty() password=ndb.StringProperty() email=ndb.StringProperty() user_id=ndb.StringProperty() class Sender(ndb.Model): sender_key=ndb.KeyProperty(kind=User) reciver_key=ndb.KeyProperty(kind=User) content=ndb.TextProperty() send_time=ndb.DateTimeProperty(auto_now_add=True) # class Reciver(ndb.Model): # reciver_key=ndb.KeyProperty(kind=User) # content=ndb.TextProperty() # reciver_time=ndb.DateTimeProperty(auto_now_add=True) class Feeds(ndb.Model): user_key=ndb.KeyProperty(kind=User) post=ndb.TextProperty() post_time=ndb.DateTimeProperty(auto_now_add=True)

26.125

58

0.746411

106

836

5.754717

0.330189

0.167213

0.111475

0.137705

0.457377

0.37541

0.314754

0.177049

0

0.001391

0.139952

836

31

59

26.967742

0.84701

0.186603

0

1

0

false

0.052632

0.157895

0

1

0

null

0

null

0

1

0

1

0

2

28848f45426af5d705b77e21de5c5dbfd0c89709

3,979

py

Python

sniff.py

krzys-h/http-sniff-dashboard

d19346f27dd43befae73ed11dbcf73f46c16dabd

[ "WTFPL" ]

4

2016-08-22T21:55:41.000Z

2017-08-26T09:55:15.000Z

sniff.py

krzys-h/http-sniff-dashboard

d19346f27dd43befae73ed11dbcf73f46c16dabd

[ "WTFPL" ]

null

sniff.py

krzys-h/http-sniff-dashboard

d19346f27dd43befae73ed11dbcf73f46c16dabd

[ "WTFPL" ]

null

import threading import datetime import re import json from scapy.all import * from scapy.layers.l2 import * from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer import SocketServer from dnslib.server import DNSLogger, DNSServer from dnslib.fixedresolver import FixedResolver resolver = FixedResolver(". 60 IN A 10.15.0.9") logger = DNSLogger(prefix=False) server = DNSServer(resolver,port=53,address='',logger=logger) urls = [] logins = [] images = [] log = open('log', 'a') def match_password(payload): result = [] for match in ['pass', 'pwd', 'password', 'haslo']: pwd = re.search('%s=([a-zA-Z0-9.-]*)' % match, str(payload)) if pwd: print("Password: %s" % pwd.group(1)) log.write("Password: %s" % pwd.group(1)) pas = pwd.group(1) pas = pas[:2] + '*' * (len(pas) - 2) result.append("Password: %s" % pas) return result def match_email(payload): result = [] for match in ['email', 'login', 'username', 'user', 'name']: login = re.search('%s=([a-zA-Z0-9.-]*)' % match, str(payload)) if login: print("Login: %s" % login.group(1)) log.write("Login: %s" % login.group(1)) result.append("Login: %s" % login.group(1)) return result def match_dns(payload): result = [] host = re.search('Host: ([a-zA-Z0-9.-]*)\r\n', str(payload)) if host: print("Site: " + host.group(1)) result.append(host.group(1)) log.write("Site: " + host.group(1)) return result def match_image_path(payload): result = [] dns = match_dns(payload) if dns: m = re.search('([A-Z]+) (.+?\.(png|jpg)) HTTP/1\.[01]\r\n', str(payload)) if m: url = "http://"+dns[0]+m.group(2) print("Found image: "+url) result.append(url) return result def annotate(ip, l): result = [] for item in l: result.append('[%s] [%s] %s' % (datetime.datetime.now().strftime('%H:%M:%S'), ip, item)) return result def pkt_callback(pkt): tcp = pkt.getlayer('TCP') ip = pkt.getlayer('IP') if ip and tcp: if tcp.dport == 80 and ip.src != '127.0.0.1': global urls global logins global images urls = annotate(ip.src, match_dns(tcp.payload)) + urls logins = annotate(ip.src, match_email(tcp.payload)) + logins logins = annotate(ip.src, match_password(tcp.payload)) + logins images = match_image_path(tcp.payload) + images if len(urls) > 100: urls = urls[:100] if len(logins) > 100: logins = logins[:100] if len(images) > 100: images = images[:100] class HTTPHandler(BaseHTTPRequestHandler): def _set_headers(self): self.send_response(200) self.send_header('Content-type', 'text/html') self.end_headers() def do_GET(self): self._set_headers() if self.path == '/': with open('index.html') as f: self.wfile.write(f.read()) elif self.path == '/jquery.js': with open('jquery.js') as f: self.wfile.write(f.read()) elif self.path == '/urls': self.wfile.write(json.dumps(list(reversed(sorted(list(set(urls))))))) elif self.path == '/logins': self.wfile.write(json.dumps(list(reversed(sorted(list(set(logins))))))) elif self.path == '/images': self.wfile.write(json.dumps(images)) else: print "error", self.path def do_HEAD(self): self._set_headers() def run(): server_address = ('0.0.0.0', 9000) httpd = HTTPServer(server_address, HTTPHandler) print 'Starting httpd...' httpd.serve_forever() http_thread = threading.Thread(target=run) http_thread.daemon=False http_thread.start() sniff(iface="mon0", prn=pkt_callback, store=0)

27.631944

97

0.567228

511

3,979

4.358121

0.287671

0.024248

0.033678

0.008083

0.227212

0.12573

0.10238

0

0.02481

0.270671

3,979

143

98

27.825175

0.742591

0

0.127273

0

0.102538

0

null

0.054545

0.090909

null

0.054545

0

null

0

null

0

1

0

1

0

2

288f60690bc713d1251a7a8c2039c167ca89225f

216

py

Python

A2OJ-11/027_A_Petya_and_Strings.py

vendyv/A2OJ-Ladders

5ebaf4b3322e19cab687a642bc043161d71bc5ff

[ "MIT" ]

null

A2OJ-11/027_A_Petya_and_Strings.py

vendyv/A2OJ-Ladders

5ebaf4b3322e19cab687a642bc043161d71bc5ff

[ "MIT" ]

null

A2OJ-11/027_A_Petya_and_Strings.py

vendyv/A2OJ-Ladders

5ebaf4b3322e19cab687a642bc043161d71bc5ff

[ "MIT" ]

null

""" 27 Petya and Strings - https://codeforces.com/problemset/problem/112/A """ one = input().lower() two = input().lower() if one < two: print("-1") elif one > two: print("1") else: print("0")

18

71

0.564815

30

216

4.066667

0.7

0.163934

0.180328

0.196721

0

0.047904

0.226852

216

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72

19.636364

0.682635

0.324074

0

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0

1

0

false

0

0.375

0

null

0

1

0

null

0

2

289761c43d301162fc76a469ea36e54f8a98e9eb

4,006

py

Python

chrome/common/extensions/docs/server2/future.py

kjthegod/chromium

cf940f7f418436b77e15b1ea23e6fa100ca1c91a

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

2,151

2020-04-18T07:31:17.000Z

2022-03-31T08:39:18.000Z

chrome/common/extensions/docs/server2/future.py

kjthegod/chromium

cf940f7f418436b77e15b1ea23e6fa100ca1c91a

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

395

2020-04-18T08:22:18.000Z

2021-12-08T13:04:49.000Z

chrome/common/extensions/docs/server2/future.py

kjthegod/chromium

cf940f7f418436b77e15b1ea23e6fa100ca1c91a

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

338

2020-04-18T08:03:10.000Z

2022-03-29T12:33:22.000Z

# Copyright (c) 2012 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. import logging import sys import traceback _no_value = object() def _DefaultErrorHandler(error): raise error def All(futures, except_pass=None, except_pass_log=False): '''Creates a Future which returns a list of results from each Future in |futures|. If any Future raises an error other than those in |except_pass| the returned Future will raise as well. If any Future raises an error in |except_pass| then None will be inserted as its result. If |except_pass_log| is True then the exception will be logged. ''' def resolve(): resolved = [] for f in futures: try: resolved.append(f.Get()) # "except None" will simply not catch any errors. except except_pass: if except_pass_log: logging.error(traceback.format_exc()) resolved.append(None) pass return resolved return Future(callback=resolve) def Race(futures, except_pass=None, default=_no_value): '''Returns a Future which resolves to the first Future in |futures| that either succeeds or throws an error apart from those in |except_pass|. If all Futures throw errors in |except_pass| then |default| is returned, if specified. If |default| is not specified then one of the passed errors will be re-thrown, for a nice stack trace. ''' def resolve(): first_future = None for future in futures: if first_future is None: first_future = future try: return future.Get() # "except None" will simply not catch any errors. except except_pass: pass if default is not _no_value: return default # Everything failed and there is no default value, propagate the first # error even though it was caught by |except_pass|. return first_future.Get() return Future(callback=resolve) class Future(object): '''Stores a value, error, or callback to be used later. ''' def __init__(self, value=_no_value, callback=None, exc_info=None): self._value = value self._callback = callback self._exc_info = exc_info if (self._value is _no_value and self._callback is None and self._exc_info is None): raise ValueError('Must have either a value, error, or callback.') def Then(self, callback, error_handler=_DefaultErrorHandler): '''Creates and returns a future that runs |callback| on the value of this future, or runs optional |error_handler| if resolving this future results in an exception. If |callback| returns a non-Future value then the returned Future will resolve to that value. If |callback| returns a Future then it gets chained to the current Future. This means that the returned Future will resolve to *that* Future's value. This behaviour is transitive. For example, def fortytwo(): return Future(value=42) def inc(x): return x + 1 def inc_future(x): return Future(value=x + 1) fortytwo().Then(inc).Get() ==> 43 fortytwo().Then(inc_future).Get() ==> 43 fortytwo().Then(inc_future).Then(inc_future).Get() ==> 44 ''' def then(): val = None try: val = self.Get() except Exception as e: val = error_handler(e) else: val = callback(val) return val.Get() if isinstance(val, Future) else val return Future(callback=then) def Get(self): '''Gets the stored value, error, or callback contents. ''' if self._value is not _no_value: return self._value if self._exc_info is not None: self._Raise() try: self._value = self._callback() return self._value except: self._exc_info = sys.exc_info() self._Raise() def _Raise(self): exc_info = self._exc_info raise exc_info[0], exc_info[1], exc_info[2]

29.895522

80

0.666251

576

4,006

4.505208

0.265625

0.046243

0.025434

0.024277

0.137958

0.1079

0.069364

0.04316

0

0.00567

0.251623

4,006

133

81

30.120301

0.859907

0.09336

0

0.238806

0

0.022959

0

null

0.104478

0.044776

null

0

null

0

null

0

1

0

1

0

2

289fb708a3b4a8d0eacc737db3334f6263a8f6c4

88

py

Python

swea/lv1/alphabet.py

mrbartrns/swacademy_structure

778f0546030385237c383d81ec37d5bd9ed1272d

[ "MIT" ]

null

swea/lv1/alphabet.py

mrbartrns/swacademy_structure

778f0546030385237c383d81ec37d5bd9ed1272d

[ "MIT" ]

null

swea/lv1/alphabet.py

mrbartrns/swacademy_structure

778f0546030385237c383d81ec37d5bd9ed1272d

[ "MIT" ]

null

# SWEA 2050 string = input() for c in string: print(ord(c) - ord("A") + 1, end=" ")

17.6

41

0.545455

15

88

3.2

0.8

0

0.074627

0.238636

88

4

42

22

0.641791

0.102273

0

0.025974

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

2

9537a587748a16e07bb00147e1f630d3dee1f4ed

7,042

py

Python

2018/23_ExperimentalEmergencyTeleportation/test_nanobots.py

deanearlwright/AdventOfCode

ca4cf6315c0efa38bd7748fb6f4bc99e7934871d

[ "MIT" ]

1

2021-01-03T23:09:28.000Z

2018/23_ExperimentalEmergencyTeleportation/test_nanobots.py

deanearlwright/AdventOfCode

ca4cf6315c0efa38bd7748fb6f4bc99e7934871d

[ "MIT" ]

6

2020-12-26T21:02:42.000Z

2020-12-26T21:02:52.000Z

2018/23_ExperimentalEmergencyTeleportation/test_nanobots.py

deanearlwright/AdventOfCode

ca4cf6315c0efa38bd7748fb6f4bc99e7934871d

[ "MIT" ]

null

# ====================================================================== # Experimental Emergency Teleportation # Advent of Code 2018 Day 23 -- Eric Wastl -- https://adventofcode.com # # Python implementation by Dr. Dean Earl Wright III # ====================================================================== # ====================================================================== # t e s t _ n a n o b o t s . p y # ====================================================================== """Test solver for Advent of Code 2018 day 23, Experimental Emergency Teleportation""" # ---------------------------------------------------------------------- # import # ---------------------------------------------------------------------- import unittest import aoc_23 import nanobots # ---------------------------------------------------------------------- # constants # ---------------------------------------------------------------------- EXAMPLE_TEXT = """ pos=<0,0,0>, r=4 pos=<1,0,0>, r=1 pos=<4,0,0>, r=3 pos=<0,2,0>, r=1 pos=<0,5,0>, r=3 pos=<0,0,3>, r=1 pos=<1,1,1>, r=1 pos=<1,1,2>, r=1 pos=<1,3,1>, r=1 """ PART_ONE_TEXT = EXAMPLE_TEXT PART_TWO_TEXT = EXAMPLE_TEXT PART_ONE_RESULT = 7 PART_TWO_RESULT = 36 # ====================================================================== # TestNanobot # ====================================================================== class TestNanobot(unittest.TestCase): # pylint: disable=R0904 "Test Nanobot object" def test_empty_init(self): "Test the default Nanobot creation" # 1. Create default Nanobots object myobj = nanobots.Nanobot() # 2. Make sure it has the default values self.assertEqual(myobj.x, None) self.assertEqual(myobj.y, None) self.assertEqual(myobj.z, None) self.assertEqual(myobj.r, None) def test_text_init(self): "Test the Nanobot object creation from text" # 1. Create Nanobot object from text myobj = nanobots.Nanobot(text='pos=<-22356506,24819383,19709017>, r=53389427') # 2. Make sure it has the expected values self.assertEqual(myobj.x, -22356506) self.assertEqual(myobj.y, 24819383) self.assertEqual(myobj.z, 19709017) self.assertEqual(myobj.r, 53389427) def test_manhattan_distance(self): # 1. Create some Nanobot objects from text nb1 = nanobots.Nanobot(text='pos=<0,0,0>, r=4') nb2 = nanobots.Nanobot(text='pos=<4,0,0>, r=3') nb3 = nanobots.Nanobot(text='pos=<1,1,1>, r=1') nb4 = nanobots.Nanobot(text='pos=<1,3,1>, r=4') # 2. Check the distances self.assertEqual(nb1.manhattan_distance(nb1), 0) self.assertEqual(nb1.manhattan_distance(nb2), 4) self.assertEqual(nb1.manhattan_distance(nb3), 3) self.assertEqual(nb1.manhattan_distance(nb4), 5) # 3. Check the ranges self.assertEqual(nb1.in_range(nb1), True) self.assertEqual(nb1.in_range(nb2), True) self.assertEqual(nb1.in_range(nb3), True) self.assertEqual(nb1.in_range(nb4), False) # ====================================================================== # TestNanobots # ====================================================================== class TestNanobots(unittest.TestCase): # pylint: disable=R0904 "Test Nanobots object" def test_empty_init(self): "Test the default Nanobots creation" # 1. Create default Nanobots object myobj = nanobots.Nanobots() # 2. Make sure it has the default values self.assertEqual(myobj.part2, False) self.assertEqual(myobj.text, None) self.assertEqual(len(myobj.bots), 0) def test_text_init(self): "Test the Nanobots object creation from text" # 1. Create Nanobots object from text myobj = nanobots.Nanobots(text=aoc_23.from_text(EXAMPLE_TEXT)) # 2. Make sure it has the expected values self.assertEqual(myobj.part2, False) self.assertEqual(len(myobj.text), 9) self.assertEqual(len(myobj.bots), 9) # 3. Check distances self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[0]), 0) self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[1]), 1) self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[2]), 4) self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[3]), 2) self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[4]), 5) self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[5]), 3) self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[6]), 3) self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[7]), 4) self.assertEqual(myobj.bots[0].manhattan_distance(myobj.bots[8]), 5) # 4. Check range self.assertEqual(myobj.bots[0].in_range(myobj.bots[0]), True) self.assertEqual(myobj.bots[0].in_range(myobj.bots[1]), True) self.assertEqual(myobj.bots[0].in_range(myobj.bots[2]), True) self.assertEqual(myobj.bots[0].in_range(myobj.bots[3]), True) self.assertEqual(myobj.bots[0].in_range(myobj.bots[4]), False) self.assertEqual(myobj.bots[0].in_range(myobj.bots[5]), True) self.assertEqual(myobj.bots[0].in_range(myobj.bots[6]), True) self.assertEqual(myobj.bots[0].in_range(myobj.bots[7]), True) self.assertEqual(myobj.bots[0].in_range(myobj.bots[8]), False) # 4. Check strongest signal self.assertEqual(myobj.largest_signal_radius(), myobj.bots[0]) # 5. Check number in range self.assertEqual(myobj.bots_in_range(myobj.bots[0]), 7) def test_part_one(self): "Test part one example of Nanobots object" # 1. Create Nanobots object from text myobj = nanobots.Nanobots(text=aoc_23.from_text(PART_ONE_TEXT)) # 2. Check the part one result self.assertEqual(myobj.part_one(verbose=False), PART_ONE_RESULT) def test_part_two(self): "Test part two example of Nanobots object" # 1. Create Nanobots object from text myobj = nanobots.Nanobots(part2=True, text=aoc_23.from_text(PART_TWO_TEXT)) # 2. Check the part two result self.assertEqual(myobj.part_two(verbose=False), PART_TWO_RESULT) # ---------------------------------------------------------------------- # module initialization # ---------------------------------------------------------------------- if __name__ == '__main__': pass # ====================================================================== # end t e s t _ n a n o b o t s . p y end # ======================================================================

38.906077

86

0.520023

812

7,042

4.407635

0.150246

0.184409

0.12741

0.670858

0.541213

0.453758

0.432523

0.391171

0.274658

0

0.044339

0.218546

7,042

180

87

39.122222

0.606033

0.393496

0

0.065934

0

0.120525

0.007561

0

0.483516

1

0.076923

false

0.010989

0.032967

0

0.131868

0

null

0

1

0

null

0

1

0

2

9539c1de135c1f35fc604f864894bcb72a662ef4

668

py

Python

rouver/util.py

srittau/rouver

29f3b9ca3e96eafc8ceb60e64c40308a5de6c9f6

[ "MIT" ]

1

2018-02-27T00:31:15.000Z

rouver/util.py

srittau/rouver

29f3b9ca3e96eafc8ceb60e64c40308a5de6c9f6

[ "MIT" ]

69

2017-10-21T15:57:55.000Z

2022-03-29T06:56:26.000Z

rouver/util.py

srittau/rouver

29f3b9ca3e96eafc8ceb60e64c40308a5de6c9f6

[ "MIT" ]

null

import re from urllib.parse import quote, urljoin from werkzeug import Request _url_scheme_re = re.compile(r"^[a-zA-Z][a-zA-Z0-9.+-]*:") def absolute_url(request: Request, path: str) -> str: """ Construct an absolute URL, using the request URL as base. Non-printable and non-ASCII characters in the path are encoded, but other characters, most notably slashes and percent signs are not encoded. Make sure to call urllib.parse.quote() on paths that can potentially contain such characters before passing them to absolute_url(). """ base_url: str = request.base_url return urljoin(base_url, quote(path, safe="/:?&$@,;+=%~"))

31.809524

69

0.700599

100

668

4.6

0.6

0.071739

0

0.003683

0.187126

668

20

70

33.4

0.843462

0.497006

0

0.123333

0.083333

0

1

0.142857

false

0

0.428571

0

0.714286

0

null

0

null

0

1

0

1

0

2

95524d4267035709e8eb5036fca197782013e735

1,560

py

Python

analysis/legacy/plot_prob_example.py

Fizzics/desCluster

43a8cff54619f85e837afd2f78aa9be8ec6ac8c6

[ "MIT" ]

2

2020-02-21T16:13:37.000Z

2020-02-21T16:26:03.000Z

analysis/legacy/plot_prob_example.py

boada/HETDEXCluster

43a8cff54619f85e837afd2f78aa9be8ec6ac8c6

[ "MIT" ]

null

analysis/legacy/plot_prob_example.py

boada/HETDEXCluster

43a8cff54619f85e837afd2f78aa9be8ec6ac8c6

[ "MIT" ]

null

import pylab as pyl import h5py as hdf import corner ### Targeted ### ################ with hdf.File('./result_targetedPerfect.hdf5', 'r') as f: dset = f[f.keys()[0]] #data = dset['IDX', 'HALOID', 'ZSPEC', 'M200c', 'NGAL', 'LOSVD', # 'LOSVD_err', 'MASS', 'LOSVD_dist'] data = dset['ZSPEC', 'M200c', 'LOSVD',] mask = ((pyl.log10(data['LOSVD']) > 3.12 ) & (data['M200c'] < 10**14.5) | (data['LOSVD'] < 50)) data = data[~mask] badData = data[mask] X = pyl.column_stack([data['ZSPEC'], pyl.log10(data['M200c']), pyl.log10(data['LOSVD'])]) f = corner.corner(X, labels=['z', 'Log $M_{200c}$', 'Log $\sigma$'], bins=50, smooth=True, fill_contours=True) # add the bars. The axes are row indexed axes = f.axes # histogram labels axes[0].set_ylabel('P(z)') axes[0].yaxis.set_label_position('right') axes[4].set_ylabel('P(Log $M_{200c}$)') axes[4].yaxis.set_label_position('right') axes[8].set_ylabel('P(Log $\sigma$)') axes[8].yaxis.set_label_position('right') # redshift axes[0].axvspan(0.15,0.19,facecolor='#a60628', alpha=0.25) axes[3].axvspan(0.15,0.19,facecolor='#a60628', alpha=0.25) axes[6].axvspan(0.15,0.19,facecolor='#a60628', alpha=0.25) # LOSVD axes[6].axhspan(2.55,2.65,facecolor='#a60628', alpha=0.25) axes[7].axhspan(2.55,2.65,facecolor='#a60628', alpha=0.25) axes[8].axvspan(2.55,2.65,facecolor='#a60628', alpha=0.25) # mass axes[3].axhspan(13.25,13.5,facecolor='#a60628', alpha=0.25) axes[7].axvspan(13.25,13.5,facecolor='#a60628', alpha=0.25) axes[4].axvspan(13.25,13.5,facecolor='#a60628', alpha=0.25)

29.433962

77

0.640385

262

1,560

3.751908

0.316794

0.137335

0.183113

0.192269

0.43235

0.4059

0.344863

0.342828

0.313327

0

0.131749

0.109615

1,560

52

78

30

0.575954

0.119231

0

0.160954

0.02161

0

1

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false

0

0.1

0

0.1

0

null

0

1

0

null

0

2

9561aa597ebbfd59a8ed0ea18630ff1a37bab5de

1,165

py

Python

mozumder/models/i18n/scripts.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

1

2020-06-13T06:12:16.000Z

mozumder/models/i18n/scripts.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

4

2020-06-18T03:53:29.000Z

2021-06-09T17:56:12.000Z

mozumder/models/i18n/scripts.py

mozumder/django-mozumder

887ce303249eac2d77de062fd57023dbc4b782dd

[ "MIT" ]

null

from django.db import models from datetime import date # Create your models here. class Script(models.Model): """ For the script designator, use the ISO 15924 standard, four letters with the first letter uppercase and the last three lowercase. """ iso_15294 = models.CharField(max_length=4,unique=True) code_number = models.CharField(max_length=3,unique=True) unicode_alias = models.CharField(max_length=75) unicode_version = models.CharField(max_length=4) version_date = models.DateField(default=date.today) def __str__(self): return self.iso_15294 class ScriptLang(models.Model): script = models.ForeignKey('Script', related_name='names', on_delete=models.CASCADE) name = models.CharField(max_length=30) lang = models.ForeignKey('Lang', related_name='script_langs', on_delete=models.CASCADE) class Meta: constraints = [ models.UniqueConstraint( fields = [ 'script', 'lang', ], name='scriptlang_uniquetogether' ) ] def __str__(self): return self.name

31.486486

93

0.645494

134

1,165

5.425373

0.5

0.103164

0.123796

0.165062

0.123796

0

0.025552

0.260944

1,165

36

94

32.361111

0.818815

0.133047

0

0.076923

0

0.062626

0.025253

0

1

0.076923

false

0

0.076923

0.653846

0

null

0

1

0

null

0

1

0

2

95679b95ec8179097748957a665cf4edeb9d8a22

304

py

Python

Recipes30991/main/management/commands/getcsv.py

Dawid-WSIU-Byd/FoodSearcher-Public

ff664311ac966f37651b7ff4cfddfefa9f463234

[ "MIT" ]

null

Recipes30991/main/management/commands/getcsv.py

Dawid-WSIU-Byd/FoodSearcher-Public

ff664311ac966f37651b7ff4cfddfefa9f463234

[ "MIT" ]

null

Recipes30991/main/management/commands/getcsv.py

Dawid-WSIU-Byd/FoodSearcher-Public

ff664311ac966f37651b7ff4cfddfefa9f463234

[ "MIT" ]

null

from django.core.management.base import BaseCommand from main.views import get_csv class Command(BaseCommand): help = 'Gets data from CSV file' def handle(self, *args, **options): get_csv() self.stdout.write(self.style.SUCCESS('Successfully imported data from CSV'))

27.636364

85

0.690789

40

304

5.2

0.7

0.057692

0.105769

0

0.210526

304

10

86

30.4

0.866667

0

0.197279

0

1

0.142857

false

0

0.428571

0

0.857143

0

null

0

null

0

1

0

1

0

2

957aac4641307daae23ead8b0daf9e91bb61b876

858

py

Python

object_detection_tutorial.py

sbrocks/SiCom

21018f855fe3d5b032ef608026454499a74b5373

[ "MIT" ]

null

object_detection_tutorial.py

sbrocks/SiCom

21018f855fe3d5b032ef608026454499a74b5373

[ "MIT" ]

null

object_detection_tutorial.py

sbrocks/SiCom

21018f855fe3d5b032ef608026454499a74b5373

[ "MIT" ]

null

# IMPORTS import numpy as np import os import six.moves.urllib as urllib import sys import tarfile import tensorflow as tf import zipfile from collections import defaultdict from io import StringIO # from matplotlib import pyplot as plt ### CWH from PIL import Image # What model to download. from keras.models import model_from_json model = model_from_json(open("facial_expression_model.json", "r").read()) model.load_weights('facial_expression_model_weight.h5') #load weights PATH_TO_TEST_IMAGES_DIR = 'object_detection/test_images' #cwh TEST_IMAGE_PATHS = [ os.path.join(PATH_TO_TEST_IMAGES_DIR, 'image{}.jpg'.format(i)) for i in range(1, 3) ] for image_path in TEST_IMAGE_PATHS: image = Image.open(image_path) # the array based representation of the image will be used later in order to prepare the # result image with boxes and labels on it.

27.677419

106

0.789044

141

858

4.617021

0.531915

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0.039939

0.049155

0.058372

0

0.004054

0.137529

858

30

107

28.6

0.875676

0.252914

0

0.160317

0.14127

0

1

0

false

0

0.647059

0

0.647059

0

null

0

null

0

1

0

1

0

2

959cc628bda30750590e751639609285a876fa29

757

py

Python

api/schemas.py

hdoupe/psl-stitch

c11bc5250aa33f37b03d9b723682b78e76dce8a3

[ "MIT" ]

null

api/schemas.py

hdoupe/psl-stitch

c11bc5250aa33f37b03d9b723682b78e76dce8a3

[ "MIT" ]

null

api/schemas.py

hdoupe/psl-stitch

c11bc5250aa33f37b03d9b723682b78e76dce8a3

[ "MIT" ]

null

from datetime import datetime from typing import Optional from pydantic import BaseModel class AppException(BaseModel): owner: str title: str msg: str class AppResponse(BaseModel): model_pk: Optional[int] status: str ready: bool project: str url: Optional[str] exception: Optional[AppException] class OauthResponse(BaseModel): access_token: str expires_in: int token_type: str scope: str refresh_token: str class OauthToken(BaseModel): access_token: str refresh_token: str expires_at: datetime class ConnectConfig(BaseModel): authorization_uri: str state: str class User(BaseModel): username: str status: str class UserWithToken(User): token: OauthToken

15.770833

37

0.706737

89

757

5.910112

0.449438

0.060837

0.076046

0.087452

0

0.228534

757

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16.106383

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null

0

1

0

1

0

2

95a7f94a2a7130236bf57afdc459e93ccf22bd8c

2,654

py

Python

logic/field.py

morsisko/Minesweeper

b4572f0a1c5048907a2de2449ad3ebe857f65cd5

[ "MIT" ]

null

logic/field.py

morsisko/Minesweeper

b4572f0a1c5048907a2de2449ad3ebe857f65cd5

[ "MIT" ]

null

logic/field.py

morsisko/Minesweeper

b4572f0a1c5048907a2de2449ad3ebe857f65cd5

[ "MIT" ]

null

class Field: """Klasa reprezentująca jedno pole na planszy""" CLOSED_STATE = 0 FLAGGED_STATE = 1 MAYBE_STATE = 2 OPENED_STATE = 3 def __init__(self, x, y): self._x = x self._y = y self._mines_nearby = 0 self._is_mine = False self._state = Field.CLOSED_STATE def __eq__(self, other): return self._x == other._x and self._y == other._y def putMine(self): """Metoda kładąca mine na pole""" self._is_mine = True def isMine(self): """Metoda zwracająca True jeżeli pole jest miną, w przeciwnym wypadku False""" return self._is_mine def setMinesNearby(self, no): """Metoda ustawiająca ilość min w pobliżu pola""" self._mines_nearby = no def getMinesNearby(self): """Metoda zwracająca ilość min w pobliżu pola""" return self._mines_nearby def isClosed(self): """Metoda zwracająca True jeżeli pole nie zostało jeszcze odkryte, w przeciwnym wypadku False""" return self._state == Field.CLOSED_STATE or self._state == Field.FLAGGED_STATE or self._state == Field.MAYBE_STATE def isOpened(self): """Metoda zwracająca True jeżeli pole nie zostało jeszcze odkryte, w przeciwnym wypadku False""" return self._state == Field.OPENED_STATE def isMarked(self): """Metoda zwracająca True jeżeli pole zostało oznaczone (flagą lub znakiem zapytania), w przeciwnym wypadku False""" return self._state == Field.FLAGGED_STATE or self._state == Field.MAYBE_STATE def isFlagged(self): """Metoda zwracająca True jeżeli pole zostało oznaczone flagą, w przeciwnym wypadku False""" return self._state == Field.FLAGGED_STATE def isMaybeMine(self): """Metoda zwracająca True jeżeli pole zostało oznaczone znakiem zapytania, w przeciwnym wypadku False""" return self._state == Field.MAYBE_STATE def onRightClick(self): """Metoda dokonująca akcji po kliknięciu prawym przyciskiem na pole""" if self.isOpened(): return elif self._state == Field.CLOSED_STATE: self._state = Field.FLAGGED_STATE elif self._state == Field.FLAGGED_STATE: self._state = Field.MAYBE_STATE else: self._state = Field.CLOSED_STATE def open(self): """Metoda ustawiająca pole w stan otwarty""" self._state = Field.OPENED_STATE

37.914286

125

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2,654

5.065789

0.259868

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0.136364

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0.621429

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2,654

70

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37.914286

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null

0

null

0

1

0

1

0

2

95af6eb78c72f53f7fd8a2175c19fc18314ec25a

235

py

Python

setup.py

fcooper8472/UnitTestingCourse

e824f3805589d221ca8e7173b5dd290c516fad9c

[ "CC-BY-4.0", "MIT" ]

null

setup.py

fcooper8472/UnitTestingCourse

e824f3805589d221ca8e7173b5dd290c516fad9c

[ "CC-BY-4.0", "MIT" ]

null

setup.py

fcooper8472/UnitTestingCourse

e824f3805589d221ca8e7173b5dd290c516fad9c

[ "CC-BY-4.0", "MIT" ]

null

from setuptools import setup, find_packages setup( name="patient-analysis", version='1.0', packages=find_packages(), install_requires=[ 'matplotlib', 'numpy', 'pytest', 'yapf', ], )

16.785714

43

0.565957

22

235

5.909091

0.818182

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0.012048

0.293617

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0.771084

0

0.187234

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null

0

null

0

1

0

2

95b232eed99f00e999da851028e5bc73c562a8c8

2,673

py

Python

apps/core/migrations/0001_initial.py

ylgnerbecton/ruby-dev-test-1

2f1deb21aa008b0ffeec31505460080cf89ecf2c

[ "MIT" ]

null

apps/core/migrations/0001_initial.py

ylgnerbecton/ruby-dev-test-1

2f1deb21aa008b0ffeec31505460080cf89ecf2c

[ "MIT" ]

null

apps/core/migrations/0001_initial.py

ylgnerbecton/ruby-dev-test-1

2f1deb21aa008b0ffeec31505460080cf89ecf2c

[ "MIT" ]

null

# Generated by Django 2.2.10 on 2021-01-04 18:22 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Directories', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('is_removed', models.BooleanField(default=False)), ('created', models.DateTimeField(auto_now_add=True)), ('modified', models.DateTimeField(auto_now=True)), ('path', models.CharField(blank=True, max_length=254, null=True, verbose_name='Caminho')), ], options={ 'verbose_name_plural': 'Diretórios', }, ), migrations.CreateModel( name='SubPath', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('is_removed', models.BooleanField(default=False)), ('created', models.DateTimeField(auto_now_add=True)), ('modified', models.DateTimeField(auto_now=True)), ('sub_path', models.CharField(blank=True, max_length=254, null=True, verbose_name='Caminho')), ], options={ 'verbose_name_plural': 'Sub Diretórios', }, ), migrations.CreateModel( name='Files', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('is_removed', models.BooleanField(default=False)), ('created', models.DateTimeField(auto_now_add=True)), ('modified', models.DateTimeField(auto_now=True)), ('name', models.CharField(blank=True, max_length=254, null=True, verbose_name='Nome')), ('upload', models.FileField(blank=True, max_length=254, null=True, upload_to='', verbose_name='Arquivo')), ('directory', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='core.Directories', verbose_name='Diretório')), ], options={ 'verbose_name_plural': 'Arquivos', }, ), migrations.AddField( model_name='directories', name='sub_path', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='core.SubPath', verbose_name='Sub Diretório'), ), ]

43.112903

169

0.580247

267

2,673

5.640449

0.277154

0.087649

0.091633

0.103586

0.669323

0.650066

0

0.014576

0.281332

2,673

61

170

43.819672

0.769391

0.017209

0

0.518519

1

0

0.123429

0

1

0

false

0

0.037037

0

0.111111

0

null

0

1

0

1

0

null

0

2

95cc37bd120f5786588efd8774bdeb12beef0088

3,067

py

Python

backend/surveyapi/models.py

sunwenquan/iSurvey

bc14a102e56b33fb4b3612b3bef98183f6e46612

[ "Apache-2.0" ]

null

backend/surveyapi/models.py

sunwenquan/iSurvey

bc14a102e56b33fb4b3612b3bef98183f6e46612

[ "Apache-2.0" ]

null

backend/surveyapi/models.py

sunwenquan/iSurvey

bc14a102e56b33fb4b3612b3bef98183f6e46612

[ "Apache-2.0" ]

null

""" models.py 定义数据库模型 - db.DateTime ：在数据库模型中，有DateTime字段，该字段的值是Python 的datetime 类型。需要注意的是，我们在设置datetime时，要做好时区的选择。关于时间和日期的操作，请参考 iSurvey/test/time_oper.py """ from datetime import datetime from flask_sqlalchemy import SQLAlchemy from werkzeug.security import generate_password_hash, check_password_hash db = SQLAlchemy() class User(db.Model): __tablename__ = 'users' id = db.Column(db.Integer, primary_key=True) email = db.Column(db.String(120), unique=True, nullable=False) password = db.Column(db.String(255), nullable=False) surveys = db.relationship('Survey', backref="creator", lazy=False) def __init__(self, email, password): self.email = email self.password = generate_password_hash(password, method='sha256') @classmethod def authenticate(cls, **kwargs): email = kwargs.get('email') password = kwargs.get('password') if not email or not password: return None user = cls.query.filter_by(email=email).first() if not user or not check_password_hash(user.password, password): return None return user def to_dict(self): return dict(id=self.id, email=self.email) class Survey(db.Model): __tablename__ = 'surveys' id = db.Column(db.Integer, primary_key=True) name = db.Column(db.Text) created_at = db.Column(db.DateTime, default=datetime.utcnow) questions = db.relationship('Question', backref="survey", lazy=False) creator_id = db.Column( db.Integer, db.ForeignKey('users.id'), nullable=True) def to_dict(self): return dict(id=self.id, name=self.name, created_at=self.created_at.strftime('%Y-%m-%d %H:%M:%S'), questions=[question.to_dict() for question in self.questions]) class Question(db.Model): __tablename__ = 'questions' id = db.Column(db.Integer, primary_key=True) text = db.Column(db.String(500), nullable=False) created_at = db.Column(db.DateTime, default=datetime.utcnow) survey_id = db.Column(db.Integer, db.ForeignKey('surveys.id')) choices = db.relationship('Choice', backref='question', lazy=False) def to_dict(self): return dict(id=self.id, text=self.text, created_at=self.created_at.strftime('%Y-%m-%d %H:%M:%S'), survey_id=self.survey_id, choices=[choice.to_dict() for choice in self.choices]) class Choice(db.Model): __tablename__ = 'choices' id = db.Column(db.Integer, primary_key=True) text = db.Column(db.String(100), nullable=False) # 选项被选择的个数 selected = db.Column(db.Integer, default=0) created_at = db.Column(db.DateTime, default=datetime.utcnow) question_id = db.Column(db.Integer, db.ForeignKey('questions.id')) def to_dict(self): return dict(id=self.id, text=self.text, created_at=self.created_at.strftime('%Y-%m-%d %H:%M:%S'), question_id=self.question_id)

31.618557

83

0.646234

399

3,067

4.824561

0.245614

0.066494

0.083117

0.070649

0.345455

0.297143

0.262857

0.155844

0

0.006731

0.224976

3,067

96

84

31.947917

0.803113

0.053146

0

0.333333

0

0.058377

0

1

0.095238

false

0.111111

0.047619

0.063492

0.68254

0

null

0

null

0

1

0

1

0

2

95ce422dad0a32db39d5b8f9f3afaf5fa35f6fc0

152

py

Python

yc297/1517.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

yc297/1517.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

yc297/1517.py

c-yan/yukicoder

cdbbd65402177225dd989df7fe01f67908484a69

[ "MIT" ]

null

d = int(input()) a, b = map(int, input().split()) result = 10 ** 15 for i in range(d + 1): result = min(result, i * a + (d - i) * b) print(result)

19

45

0.532895

28

152

2.892857

0.607143

0.197531

0

0.043478

0.243421

152

7

46

21.714286

0.66087

0

1

0

false

0

0.166667

1

0

null

0

1

0

null

0

2

95d6c56ba4d533ddd590a5912805df65f7a67ad0

706

py

Python

edgetest/report.py

capitalone/edgetest

181fbef6e22c77e8e3d22758d2d9392874aadc45

[ "Apache-2.0" ]

16

2021-12-02T21:13:59.000Z

2022-03-29T14:04:24.000Z

edgetest/report.py

capitalone/edgetest

181fbef6e22c77e8e3d22758d2d9392874aadc45

[ "Apache-2.0" ]

15

2021-11-29T17:58:03.000Z

2022-03-25T21:51:16.000Z

edgetest/report.py

capitalone/edgetest

181fbef6e22c77e8e3d22758d2d9392874aadc45

[ "Apache-2.0" ]

4

2021-12-10T18:30:15.000Z

2022-03-25T01:47:15.000Z

"""Generate rST reports.""" from typing import Any, List from tabulate import tabulate from .core import TestPackage def gen_report(testers: List[TestPackage]) -> Any: """Generate a rST report. Parameters ---------- testers : list A list of ``TestPackage`` objects. Returns ------- Any The report. """ headers = ["Environment", "Passing tests", "Upgraded packages", "Package version"] rows: List[List] = [] for env in testers: upgraded = env.upgraded_packages() for pkg in upgraded: rows.append([env.envname, env.status, pkg["name"], pkg["version"]]) return tabulate(rows, headers=headers, tablefmt="rst")

22.774194

86

0.613314

79

706

5.455696

0.506329

0.051044

0

0.245042

706

30

87

23.533333

0.80863

0.223796

0

1

0

0.14

0

1

0.090909

false

0.090909

0.272727

0

0.454545

0

null

0

1

0

null

0

1

0

2

95ee29a03d39fd0101b5c1db751982a9e874fb04

240

py

Python

kaggle_petfinder/utils.py

greatestgoat/kaggle_petfinder

54ac4e43a3442cfec5a45a0eaced2e09738b08c0

[ "MIT" ]

3

2020-12-05T15:40:37.000Z

2021-03-14T01:48:07.000Z

kaggle_petfinder/utils.py

greatestgoat/kaggle_petfinder

54ac4e43a3442cfec5a45a0eaced2e09738b08c0

[ "MIT" ]

null

kaggle_petfinder/utils.py

greatestgoat/kaggle_petfinder

54ac4e43a3442cfec5a45a0eaced2e09738b08c0

[ "MIT" ]

1

2021-01-19T22:48:06.000Z

import os def is_script_running(): script_only_env_keys = {'KAGGLE_DOCKER_IMAGE', 'KAGGLE_CONTAINER_NAME'} current_os_env = set(os.environ.keys()) is_script = script_only_env_keys.issubset(current_os_env) return is_script

26.666667

75

0.766667

36

240

4.611111

0.527778

0.144578

0.156627

0.204819

0

0.141667

240

8

76

30

0.805825

0

0.166667

0.0875

0

1

0.166667

false

0

0.166667

0

0.5

0

null

0

1

0

1

0

null

0

2

95f4a629cb26e2256b125c4e7cf4b276313d766a

1,082

py

Python

ovs/dal/hybrids/j_rolebearertoken.py

mflu/openvstorage_centos

280a98d3e5d212d58297e0ffcecd325dfecef0f8

[ "Apache-2.0" ]

1

2015-08-29T16:36:40.000Z

ovs/dal/hybrids/j_rolebearertoken.py

rootfs-analytics/openvstorage

6184822340faea1d2927643330a7aaa781d92d36

[ "Apache-2.0" ]

null

ovs/dal/hybrids/j_rolebearertoken.py

rootfs-analytics/openvstorage

6184822340faea1d2927643330a7aaa781d92d36

[ "Apache-2.0" ]

null

# Copyright 2014 CloudFounders NV # # 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. """ RoleBearerToken module """ from ovs.dal.dataobject import DataObject from ovs.dal.structures import Relation from ovs.dal.hybrids.role import Role from ovs.dal.hybrids.bearertoken import BearerToken class RoleBearerToken(DataObject): """ The RoleBearerToken class represents the junction table between Role and BearerToken. """ __properties = [] __relations = [Relation('role', Role, 'tokens'), Relation('token', BearerToken, 'roles')] __dynamics = []

33.8125

89

0.738447

143

1,082

5.545455

0.601399

0.075662

0.050441

0.040353

0

0.009009

0.179298

1,082

31

90

34.903226

0.884009

0.612754

0

0.052083

0

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false

0

0.444444

0

0.888889

0

null

0

null

0

1

0

1

0

2

250507ce271957dbf8fa3e4eb9c1b1228786e894

520

py

Python

tests/test_core/test_part.py

MattTaylorDLS/pymalcolm

995a8e4729bd745f8f617969111cc5a34ce1ac14

[ "Apache-2.0" ]

null

tests/test_core/test_part.py

MattTaylorDLS/pymalcolm

995a8e4729bd745f8f617969111cc5a34ce1ac14

[ "Apache-2.0" ]

null

tests/test_core/test_part.py

MattTaylorDLS/pymalcolm

995a8e4729bd745f8f617969111cc5a34ce1ac14

[ "Apache-2.0" ]

null

import unittest from malcolm.core import Part, method_takes, Hook Reset = Hook() class MyPart(Part): @method_takes() @Reset def foo(self): pass @method_takes() def bar(self): pass class TestPart(unittest.TestCase): def test_init(self): p = Part("name") assert p.name == "name" def test_non_hooked_methods(self): p = MyPart("") methods = list(p.create_method_models()) assert methods == [("bar", p.method_models["bar"], p.bar)]

17.931034

66

0.598077

66

520

4.560606

0.454545

0.109635

0.099668

0

0.269231

520

28

67

18.571429

0.792105

0

0.210526

0

0.026923

0

0.105263

1

0.210526

false

0.105263

0

0.421053

0

null

0

null

0

1

0

1

0

2

250623a83494b78656981cb8aaf15988d7509614

746

py

Python

tools/builder/utils.py

ownport/docker-images

1b4c26a0cae761431cd7016863bae42c5c7529ba

[ "MIT" ]

null

tools/builder/utils.py

ownport/docker-images

1b4c26a0cae761431cd7016863bae42c5c7529ba

[ "MIT" ]

9

2020-09-02T08:12:36.000Z

2021-01-12T04:58:03.000Z

tools/builder/utils.py

ownport/docker-images

1b4c26a0cae761431cd7016863bae42c5c7529ba

[ "MIT" ]

null

from builder.git import RE_MASTER_BRANCH from builder.git import RE_DEVEL_BRANCH from builder.git import RE_BUGFIX_BRANCH from builder.git import RE_FEATURE_BRANCH from builder.git import RE_EXTRACT_BRANCH_AND_NUM def get_tag_suffix(branch:str, tag:str) -> str: ''' return a tag suffix based on branch and tag name ''' tag_suffix = '-' if RE_DEVEL_BRANCH.match(branch): tag_suffix += 'devel' elif RE_MASTER_BRANCH.match(branch): tag_suffix += 'pre-release' elif RE_FEATURE_BRANCH.match(branch) or RE_BUGFIX_BRANCH.match(branch): tag_suffix += '-'.join(RE_EXTRACT_BRANCH_AND_NUM.search(branch).groups()) elif tag and tag.startswith('release/'): tag_suffix = '' return tag_suffix

32.434783

81

0.725201

111

746

4.585586

0.297297

0.141454

0.137525

0.196464

0.495088

0.220039

0

0.179625

746

22

82

33.909091

0.831699

0.064343

0

0.037956

0

1

0.0625

false

0

0.3125

0

0.4375

0

null

0

1

0

null

0

1

0

2

2524b40112bc8fba27b476338728256215c3edef

2,464

py

Python

13.py

drawwon/JianzhiOffer

0a6df634dc27b3769e60d11d582ee4bf40825f1d

[ "Apache-2.0" ]

null

13.py

drawwon/JianzhiOffer

0a6df634dc27b3769e60d11d582ee4bf40825f1d

[ "Apache-2.0" ]

null

13.py

drawwon/JianzhiOffer

0a6df634dc27b3769e60d11d582ee4bf40825f1d

[ "Apache-2.0" ]

null

# # -*- coding:utf-8 -*- # class Solution: # def movingCount(self, threshold, rows, cols): # # write code here # count = 0 # if rows <= 0 or cols <= 0: # return 0 # if threshold == 0: # return rows * cols # visited = [[False for i in range(cols)] for j in range(rows)] # count = self.movingCountCore(rows, cols, threshold, 0, 0,visited) # return count # # def movingCountCore(self, rows, cols, threshold, row, col, visited): # count = 0 # if 0 <= row < rows and 0<= col < cols and not visited[row][col] and self.checkSum(row, col, threshold): # visited[row][col] = True # count = 1 + self.movingCountCore(rows, cols, threshold, row + 1, col, visited) + \ # self.movingCountCore(rows, cols, threshold, row - 1, col, visited) + \ # self.movingCountCore(rows, cols, threshold, row, col + 1, visited) + \ # self.movingCountCore(rows, cols, threshold, row, col - 1, visited) # return count # # def checkSum(self, row, col, threshold): # sumv = 0 # for i in str(row): # sumv += int(i) # for j in str(col): # sumv += int(j) # if sumv <= threshold: # return True # else: # return False # # s = Solution() # print(s.movingCount(10,1,100)) # -*- coding:utf-8 -*- # class Solution: # def movingCount(self, threshold, rows, cols): # # write code here # count = 0 # if rows <= 0 or cols <= 0: # return 0 # if threshold == 0: # return rows * cols # count = 0 # if rows!=1 and cols!=1: # for i in range(rows): # for j in range(cols): # if self.checkSum(i,j,threshold): # count += 1 # if rows==1 or cols == 1: # for i in range(rows): # for j in range(cols): # if self.checkSum(i,j,threshold): # count += 1 # else: # break # return count # def checkSum(self,row,col,threshold): # val = 0 # for i in str(row): # val+=int(i) # for j in str(col): # val += int(j) # if val <= threshold: # return True # else: # return False

34.704225

113

0.465909

283

2,464

4.056537

0.155477

0.069686

0.08885

0.117596

0.737805

0.686411

0.60453

0.576655

0.505226

0

0.025291

0.40625

2,464

70

114

35.2

0.759399

0.941558

0

null

0

null

0

null

0

null

1

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true

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0

null

0

1

0

null

0

1

0

2

252a6ef1c6233cdfa6759d2e48dbb73b6b7d90dd

233

py

Python

tests/inputs/numpy-lib/54-some-numpy-ufuncs.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

4

2019-10-06T18:01:24.000Z

2020-07-03T05:27:35.000Z

tests/inputs/numpy-lib/54-some-numpy-ufuncs.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

5

2021-06-07T15:50:04.000Z

2021-06-07T15:50:06.000Z

tests/inputs/numpy-lib/54-some-numpy-ufuncs.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

null

import numpy as np lst = [[1, 3, 4], [2, 8, 9]] a = np.size(lst) a_ = np.array(lst).size b = np.shape(lst) b_ = np.array(lst).shape c = np.ndim(lst) c_ = np.array(lst).ndim d = np.dtype(lst) d_ = np.array(lst).dtype # show_store()

16.642857

28

0.609442

49

233

2.795918

0.44898

0.20438

0.291971

0

0.031088

0.171674

233

13

29

17.923077

0.678756

0.051502

0

1

0

false

0

0.1

0

0.1

0

null

1

0

null

0

2

254eb19c2e5045fa6dcddf0f963e789fd6fd2c79

2,393

py

Python

admin/common_auth/models.py

DanielSBrown/osf.io

98dda2ac237377197acacce78274bc0a4ce8f303

[ "Apache-2.0" ]

null

admin/common_auth/models.py

DanielSBrown/osf.io

98dda2ac237377197acacce78274bc0a4ce8f303

[ "Apache-2.0" ]

null

admin/common_auth/models.py

DanielSBrown/osf.io

98dda2ac237377197acacce78274bc0a4ce8f303

[ "Apache-2.0" ]

null

from django.contrib.auth.models import ( AbstractBaseUser, PermissionsMixin, BaseUserManager, ) from django.db import models class MyUserManager(BaseUserManager): def create_user(self, email, password=None): if not email: raise ValueError('Users must have an email address') user = self.model( email=self.normalize_email(email), ) user.set_password(password) user.save(using=self._db) return user def create_superuser(self, email, password): user = self.create_user(email, password=password, ) user.is_superuser = True user.is_admin = True user.is_staff = True user.is_active = True user.save(using=self._db) return user def prereg_users(self): return self.filter(groups__name='prereg_group') class MyUser(AbstractBaseUser, PermissionsMixin): email = models.EmailField( verbose_name='email address', max_length=255, unique=True, ) first_name = models.CharField(max_length=30, blank=False) last_name = models.CharField(max_length=30, blank=False) is_active = models.BooleanField(default=True) is_admin = models.BooleanField(default=False) is_staff = models.BooleanField(default=False) date_joined = models.DateTimeField(auto_now_add=True) confirmed = models.BooleanField(default=False) osf_id = models.CharField(max_length=5, blank=True) objects = MyUserManager() USERNAME_FIELD = 'email' def get_full_name(self): return ('{0} {1}'.format(self.first_name, self.last_name)).strip() or self.email def get_short_name(self): # The user is identified by their email address return self.email def __unicode__(self): return self.email class Meta: ordering = ['email'] @property def osf_user(self): # import on call to avoid interference w/ django's manage.py commands like collectstatic from website.models import User as OsfUserModel if not self.osf_id: raise RuntimeError('This user does not have an associated Osf User') return OsfUserModel.load(self.osf_id) def is_in_group(self, group): return self.groups.filter(name=group).exists() def group_names(self): return self.groups.all().values_list('name', flat=True)

29.182927

96

0.669035

299

2,393

5.197324

0.38796

0.028958

0.06435

0.046332

0.092664

0

0.005482

0.237777

2,393

81

97

29.54321

0.846491

0.055161

0

0.1

0

0.054916

0

1

0.15

false

0.066667

0.05

0.1

0.583333

0

null

0

null

0

1

0

1

0

2

255278f462edf842a8ed2e816ef7e31cdce46b60

1,139

py

Python

test.py

slang-legacy/evenLESS

83196041c87557c3c59c53b656d69004479b2144

[ "WTFPL" ]

null

test.py

slang-legacy/evenLESS

83196041c87557c3c59c53b656d69004479b2144

[ "WTFPL" ]

null

test.py

slang-legacy/evenLESS

83196041c87557c3c59c53b656d69004479b2144

[ "WTFPL" ]

null

#this file can be removed if you don't need to test the evenLESS compiler (nothing relies on it) import evenless less = """ @import "lib.css"; .border-radius (@radius: 5px) //a parametric mixin border-radius: @radius -moz-border-radius: @radius color: @radius //a comment on its own line //an indented comment #header .border-radius(4px) #header // nested! .border-radius(4px) strayrule: #000; /*a multi- line comment*/ .button .border-radius .realcss#really {// real CSS/LESS! arealrule: #000; arealrule: #000; #really_indented rule { arealrule: #000; .border-radius(4px); //real LESS!!! arealrule: #000 //didn't really need that ";" anyway } a-real-stray-rule: #000; } div span, p span, nav span{ font-size: 18px; } //back to evenLESS #header .border-radius(4px) #header // nested! .border-radius(4px) header // really nested !@#$%^&*()!!!111!!! .border-radius(4px) #header // nested! .border-radius(4px) #header // a little less nested .border-radius(4px) """ try: print evenless.compile(less) except evenless.CalledProcessError as error: print error.output print error

15.60274

96

0.67252

156

1,139

4.903846

0.455128

0.188235

0.156863

0.137255

0.196078

0

0.034115

0.176471

1,139

72

97

15.819444

0.78145

0.083407

0

0.306122

0

0.85975

0

null

0

0.040816

null

0.061224

0

null

0

1

0

null

0

1

0

2

256b949264751bf5733d68066f1badb8e074efc1

3,103

py

Python

Ryven/custom_src/code_gen/CodeGenDialog.py

lidong1266/Ryven-Switch

68d1f71e81d6564196f44ca49d5903f06db6a4d9

[ "MIT" ]

18

2021-01-18T09:52:41.000Z

2022-03-22T10:48:44.000Z

Ryven/custom_src/code_gen/CodeGenDialog.py

xamofb-xsk/Ryven

8c3dcc613098863ae9fb747e62c0bb9d9eb4cef1

[ "MIT" ]

null

Ryven/custom_src/code_gen/CodeGenDialog.py

xamofb-xsk/Ryven

8c3dcc613098863ae9fb747e62c0bb9d9eb4cef1

[ "MIT" ]

3

2021-01-18T09:49:42.000Z

2022-03-22T10:48:47.000Z

from PySide2.QtWidgets import QDialog, QDialogButtonBox, QVBoxLayout, QPlainTextEdit, QShortcut, QMessageBox, QGroupBox, \ QScrollArea, QCheckBox, QLabel class CodeGenDialog(QDialog): def __init__(self, modules: dict, parent=None): super(CodeGenDialog, self).__init__(parent) self.modules = modules main_layout = QVBoxLayout() imports_group_box = QGroupBox('Imports') imports_group_box.setLayout(QVBoxLayout()) info_text_edit = QPlainTextEdit('''I found the following imports in the inspected components. Please unselect all imports whose source code you want me to include in the output. All checked modules remain imported using the import statements. Notice that import alias names (import ... as ...) of course won\'t work when including the module\'s source. Same goes for imports using 'from' (indicated in the list below). And for those, the whole (direct) source will be included if you unselect a module.''') info_text_edit.setReadOnly(True) imports_group_box.layout().addWidget(info_text_edit) imports_scroll_area = QScrollArea() imports_scroll_area.setLayout(QVBoxLayout()) self.import_widget_assignment = {'imports': {}, 'fromimports': {}} # imports imports_scroll_area.layout().addWidget(QLabel('imports:')) for i in modules['imports'].keys(): import_check_box = QCheckBox(i) import_check_box.setChecked(True) imports_scroll_area.layout().addWidget(import_check_box) self.import_widget_assignment['imports'][import_check_box] = i # from-imports imports_scroll_area.layout().addWidget(QLabel('\'from\'-imports:')) for i in modules['fromimports'].keys(): names = modules['fromimports'][i][2] from_names_list = ', '.join(names) import_check_box = QCheckBox(i + ': ' + from_names_list) import_check_box.setChecked(True) imports_scroll_area.layout().addWidget(import_check_box) self.import_widget_assignment['fromimports'][import_check_box] = i imports_group_box.layout().addWidget(imports_scroll_area) main_layout.addWidget(imports_group_box) button_box = QDialogButtonBox() button_box.setStandardButtons(QDialogButtonBox.Cancel | QDialogButtonBox.Ok) button_box.accepted.connect(self.accept) button_box.rejected.connect(self.reject) main_layout.addWidget(button_box) self.setLayout(main_layout) self.resize(500, 500) self.setWindowTitle('Source Code Gen Manager') def get_import_selection(self) -> dict: imports = self.modules['imports'] ia = self.import_widget_assignment['imports'] for k in ia.keys(): imports[ia[k]][1] = k.isChecked() fromimports = self.modules['fromimports'] fia = self.import_widget_assignment['fromimports'] for k in fia.keys(): fromimports[fia[k]][1] = k.isChecked() return {'imports': imports, 'fromimports': fromimports}

44.328571

514

0.681276

359

3,103

5.668524

0.337047

0.058968

0.055037

0.063882

0.274693

0.142506

0.09828

0

0.004102

0.214309

3,103

70

515

44.328571

0.830599

0.006445

0

0.081633

0

0.020408

0.207076

0

1

0.040816

false

0

0.632653

0

0.714286

0

null

0

null

0

1

0

1

0

2

25714ed48d4fa13f4b7b4eb563597c8afc2d48b6

9,018

py

Python

mysite/pages/models.py

cjlee112/socraticqs2

2e7dd9d2ec687f68ca8ca341cf5f1b3b8809c820

[ "Apache-2.0" ]

8

2015-06-02T15:34:44.000Z

2019-03-21T12:27:30.000Z

mysite/pages/models.py

cjlee112/socraticqs2

2e7dd9d2ec687f68ca8ca341cf5f1b3b8809c820

[ "Apache-2.0" ]

761

2015-01-07T05:13:08.000Z

2022-02-10T10:23:37.000Z

mysite/pages/models.py

cjlee112/socraticqs2

2e7dd9d2ec687f68ca8ca341cf5f1b3b8809c820

[ "Apache-2.0" ]

12

2015-01-28T20:09:36.000Z

2018-03-20T13:32:11.000Z

from django.db import models from djangocms_text_ckeditor import fields from cms.models.pluginmodel import CMSPlugin from filer.fields.image import FilerImageField COLOR_CHOICES = ( ("bg-primary", "blue"), ("bg-danger", "red"), ("bg-success", "green"), ("bg-info", "light-blue"), ("bg-warning", "yellow"), ) LIST_TYPES = ( ('list-questions', 'list-questions'), ('list_numeric', 'list_numeric'), ('list-checklist', 'list-checklist'), ('list-header', 'list-header') ) SLIDE_SHARE_BACK = ( ('gray', 'section-2-cols-bg'), ('none', ''), ) class AbstractPlugin(CMSPlugin): """ Abstract Base Class for all Plugins. """ hidden = models.BooleanField(default=False) class Meta: abstract = True class LandingPlugin(AbstractPlugin): """ Plugin provide widget main page """ title = models.CharField(max_length=200, null=True, blank=True) description = fields.HTMLField(null=True, blank=True) list_description = fields.HTMLField(null=True, blank=True) link_button = models.URLField(null=True, blank=True) text_button = models.CharField(null=True, max_length=70, blank=True) block_color = models.CharField(max_length=20, choices=COLOR_CHOICES, default='bg-primary') class BannerPlugin(AbstractPlugin): """ Plugin make banner with description and button to go """ title = models.CharField(max_length=200, blank=True) description = fields.HTMLField(blank=True) link_button = models.URLField(blank=True) text_button = models.CharField(max_length=70, blank=True) sponsors_text = models.CharField(max_length=200, blank=True) class ActiveLearningRatesPlugin(AbstractPlugin): """ Plugin provide ability to edit Active learting block. """ title = models.CharField(max_length=200, blank=True) description = fields.HTMLField(blank=True) fig_alt = models.CharField(max_length=200, blank=True) fig_caption = models.CharField(max_length=200, blank=True) list_text = fields.HTMLField() class ListPlugin(AbstractPlugin): """ General plugin for adding list of tesises with the title and <li> element class. """ title = models.CharField(max_length=200, blank=True) list_type = models.CharField(max_length=20, choices=LIST_TYPES, default='list-questions') list_text = fields.HTMLField() class ChildPersonalGuidesPlugin(AbstractPlugin): """ Plugin for personal guides block. """ image = FilerImageField(related_name="personal_guides_image", on_delete=models.CASCADE) title = models.CharField(max_length=200, blank=True) description = fields.HTMLField() class SocialProofsPlugin(AbstractPlugin): """ Plugin for Social Proofs block. """ title = models.CharField(max_length=200, blank=True) post_description = fields.HTMLField() more_proofs_link = models.URLField(null=True, blank=True) class ProofPlugin(AbstractPlugin): """ Plugin for proof. """ proof_icon = FilerImageField(related_name="proof_icon", blank=True, null=True, on_delete=models.CASCADE) title = models.CharField(max_length=200, blank=True) description = fields.HTMLField() class KeyNotesSetPlugin(AbstractPlugin): """ Plugin for KeyNotes block. """ title = models.CharField(max_length=200, blank=True) description = fields.HTMLField() class KeyNotePlugin(AbstractPlugin): """ Plugin for KeyNote. """ button_text = models.CharField(max_length=200, blank=True) uid = models.SlugField(max_length=8, blank=False) title = models.CharField(max_length=200, blank=True) description = fields.HTMLField() class ParentPersonalGuidesPlugin(AbstractPlugin): """ Parent plugin for Personal Guides. """ title = models.CharField(max_length=200, blank=True) class WorkshopDescriptionPlugin(AbstractPlugin): """ Parent plugin Workshop description. """ title = models.CharField(max_length=200, blank=True) description = fields.HTMLField(blank=True) class BenefitsItemPlugin(AbstractPlugin): """ Item of benefils """ title = models.CharField(max_length=200, blank=True) description = fields.HTMLField(blank=True) image = FilerImageField(null=True, blank=True, on_delete=models.CASCADE) class BenefitsPlugin(AbstractPlugin): """ Base plugin for benefits """ title = models.CharField(max_length=200, blank=True) description = fields.HTMLField(blank=True) class FooterPlugin(AbstractPlugin): """ Plugin for the footer part of landing page. """ footer_text = models.CharField(max_length=100, blank=True) footer_link = models.CharField(max_length=200, blank=True) class SocialPlugin(AbstractPlugin): title = models.CharField(max_length=200, blank=True) class FAQPlugin(AbstractPlugin): title = models.CharField(max_length=200, blank=True) class FAQItemPlugin(AbstractPlugin): question = models.TextField(blank=True) answer = models.TextField(blank=True) class MiscItemPlugin(AbstractPlugin): title = models.CharField(max_length=200, blank=True) description_header = fields.HTMLField(blank=True) list_type = models.CharField(max_length=20, choices=LIST_TYPES, default='list-checklist') list_text = fields.HTMLField() description_footer = fields.HTMLField(blank=True) header_type_text = models.CharField(max_length=200, blank=True) class InterestedPlugin(AbstractPlugin): title = models.CharField(max_length=200, default="I’m Interested in the hackathon") description = models.TextField( default="Get on our mailing list and we’ll contact you about the next hackathon.") name_field = models.CharField(max_length=200, default="Name") email_field = models.CharField(max_length=200, default="Email") organization_field = models.CharField(max_length=200, default="Institution/Organization") role_field = models.CharField(max_length=200, default=" Title/Role") name_error_msg = models.CharField(max_length=200, default="Please enter your name") organization_error_msg = models.CharField(max_length=200, default="Please enter your Institute/Organization") email_error_msg = models.CharField(max_length=200, default="Please enter your email") role_error_msg = models.CharField(max_length=200, default="Please enter your Title/Role") email_to = models.EmailField(default='dummy@mail.com') btn_text = models.CharField(max_length=70, default='Schedule to demo') bg_image = FilerImageField(null=True, blank=True, on_delete=models.CASCADE) class InterestedForm(models.Model): """ Model for save interested form answer and do some later """ name = models.CharField(max_length=200, blank=True) organization = models.CharField(max_length=200, blank=True) role = models.CharField(max_length=100, blank=True) email = models.EmailField(blank=True) class DetailsChildPlugin(AbstractPlugin): title = models.CharField(max_length=200, blank=True) class DetailsVideoPlugin(AbstractPlugin): video_url = models.URLField() description = models.CharField(max_length=200, blank=True) class DetailsQuotePlugin(AbstractPlugin): quote_text = models.CharField(max_length=200) quote_small = models.CharField(max_length=200) class SlideSharePlugin(AbstractPlugin): title = models.CharField(max_length=200) description = fields.HTMLField() background = models.CharField(default='grey', max_length=70, choices=SLIDE_SHARE_BACK) class SlideShareItemPlugin(AbstractPlugin): title = models.CharField(max_length=200, blank=True) slideshare_code = models.TextField() class BecomeInstructorPlugin(AbstractPlugin): error_name = models.CharField(max_length=200, blank=True) agreement_text = models.TextField(blank=True) class HelpCenterModel(AbstractPlugin): title = models.CharField(max_length=200, blank=True) description = models.TextField(blank=True) link_text = models.CharField(max_length=200) link_url = models.URLField() class IntercomArticleModel(AbstractPlugin): title = models.CharField(max_length=200, blank=True) short_description = models.TextField(blank=True) link_text = models.CharField(max_length=200) link_url = models.URLField() class Hero1Model(AbstractPlugin): title = models.CharField(max_length=200, blank=True) description = models.TextField(blank=True) best_prattices_text = models.CharField(max_length=200) best_prattices_link = models.URLField() bp1_text = models.CharField(max_length=200) bp1_link = models.URLField() video_url = models.URLField() class Hero2Model(AbstractPlugin): title = models.CharField(max_length=200, blank=True) description = models.TextField(blank=True) best_prattices_text = models.CharField(max_length=200) best_prattices_link = models.URLField() bp2_text = models.CharField(max_length=200) bp2_link = models.URLField() video_url = models.URLField()

31.978723

113

0.729763

1,072

9,018

6.001866

0.194963

0.083929

0.159465

0.21262

0.577401

0.542586

0.49285

0.406124

0.363537

0.318154

0

0.023424

0.157352

9,018

281

114

32.092527

0.823266

0.066534

0

0.298137

0

0.068885

0.008198

0

1

0

false

0

0.024845

0

0.881988

0

null

0

1

0

null

0

1

0

2

c2502b219f05743f3cce4ca844820a1312dd7686

4,653

py

Python

unit/nvim_io_spec.py

tek/ribosome-py

8bd22e549ddff1ee893d6e3a0bfba123a09e96c6

[ "MIT" ]

null

unit/nvim_io_spec.py

tek/ribosome-py

8bd22e549ddff1ee893d6e3a0bfba123a09e96c6

[ "MIT" ]

null

unit/nvim_io_spec.py

tek/ribosome-py

8bd22e549ddff1ee893d6e3a0bfba123a09e96c6

[ "MIT" ]

null

from typing import Tuple, Any from kallikrein import k, Expectation, pending from kallikrein.matchers.either import be_right from amino import do, List, Right, Nil, Either from amino.do import Do from amino.test.spec import SpecBase from ribosome.nvim.api.data import NvimApi, StrictNvimApi from ribosome.nvim.io.compute import NvimIO from ribosome.test.klk.expectable import kn from ribosome.nvim.io.api import N from ribosome.nvim.io.data import NError from ribosome.test.klk.matchers.nresult import nsuccess vars = dict(a=1) def handler(vim: StrictNvimApi, method: str, args: List[str], sync: bool) -> Either[List[str], Tuple[NvimApi, Any]]: return Right((vim.copy(vars=vars), (args.head | 9) + 2)) vim = StrictNvimApi.cons('test', request_handler=handler) class NvimIoSpec(SpecBase): ''' suspend $suspend delay $delay suspend flat_map $suspend_flat_map stack safety $stack stack safety with fatal recover $stack_recover_fatal stack safety with error recover $stack_recover_error request $request bind on request $request_bind preserve resource state in `recover` $recover recover an exception with `recover_failure` $recover_failure execute an effect after error $ensure_failure ''' def suspend(self) -> Expectation: def f(v: NvimApi) -> NvimIO[int]: return N.pure(7) return k(N.suspend(f).either(vim)).must(be_right(7)) def delay(self) -> Expectation: def f(v: NvimApi) -> int: return 7 return k(N.delay(f).either(vim)).must(be_right(7)) def suspend_flat_map(self) -> Expectation: def h(a: int) -> NvimIO[int]: return N.pure(a + 2) def g(a: int) -> NvimIO[int]: return N.suspend(lambda v, b: h(b), a + 1) def f(v: NvimApi) -> NvimIO[int]: return N.pure(7) return k(N.suspend(f).flat_map(g).flat_map(h).either(vim)).must(be_right(12)) def stack(self) -> Expectation: @do(NvimIO[int]) def run(a: int) -> Do: b = yield N.pure(a + 1) if b < 1000: yield run(b) return kn(vim, run, 1).must(nsuccess(1000)) def stack_recover_fatal(self) -> Expectation: @do(NvimIO[int]) def run(a: int) -> Do: b = yield N.pure(a + 1) if b < 1000: yield N.recover_fatal(run(b), lambda a: N.pure(2000)) else: raise Exception('error') return kn(vim, run, 1).must(nsuccess(2000)) @pending def stack_recover_error(self) -> Expectation: @do(NvimIO[int]) def run(a: int) -> Do: b = yield N.pure(a + 1) if b < 1000: yield N.recover_error(run(b), lambda a: N.pure(2000)) else: yield N.error('boom') return kn(vim, run, 1).must(nsuccess(2000)) def request(self) -> Expectation: return k(N.request('blub', Nil).run_s(vim).vars) == vars def request_bind(self) -> Expectation: @do(NvimIO[int]) def run() -> Do: ae = yield N.request('blub', List(5)) a = yield N.e(ae) b = yield N.suspend(lambda v: N.pure(a + 1)) c = yield N.delay(lambda v: b + 3) return c + 23 updated_vim, result = run().run(vim) return ( (k(updated_vim.vars) == vars) & (k(result).must(nsuccess(34))) & (k(updated_vim.request_log) == List(('blub', List(5)))) ) def recover(self) -> Expectation: @do(NvimIO[int]) def run() -> Do: a = yield N.recover_error(N.error('booh'), lambda e: N.pure(1)) b = yield N.suspend(lambda v: N.pure(a + 1)) c = yield N.delay(lambda v: b + 3) return c + 23 updated_vim, result = run().run(vim) return k(result).must(nsuccess(28)) def recover_failure(self) -> Expectation: def boom(v: NvimApi) -> NvimIO[int]: raise Exception('boom') @do(NvimIO[int]) def run() -> Do: a = yield N.recover_failure(N.delay(boom), lambda e: N.pure(1)) return a + 1 result = run().run_a(vim) return k(result).must(nsuccess(2)) def ensure_failure(self) -> Expectation: x = 1 def inc(v: NvimApi) -> None: nonlocal x x = 2 @do(NvimIO[None]) def run() -> Do: yield N.ensure_failure(N.error('booze'), lambda a: N.delay(inc)) result = run().run_a(vim) return (k(x) == 2) & (k(result) == NError('booze')) __all__ = ('NvimIoSpec',)

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649

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0.1849

0.03426

0.013704

0.031976

0.379901

0.360868

0.31595

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0.208984

0

0.021483

0.289706

4,653

141

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null

0

null

0

1

0

1

0

2

c2555429232f9a8cda4197983694ada140157c8f

1,198

py

Python

pycmark_gfm/inlineparser/link_processors.py

tk0miya/pycmark-gfm

db31d034c592fa3139a7bc672b0eae7a6fefa7d9

[ "Apache-2.0" ]

1

2019-05-12T07:21:02.000Z

pycmark_gfm/inlineparser/link_processors.py

tk0miya/pycmark-gfm

db31d034c592fa3139a7bc672b0eae7a6fefa7d9

[ "Apache-2.0" ]

null

pycmark_gfm/inlineparser/link_processors.py

tk0miya/pycmark-gfm

db31d034c592fa3139a7bc672b0eae7a6fefa7d9

[ "Apache-2.0" ]

null

""" pycmark_gfm.inlineparser.link_processors ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Link processor classes for InlineParser. :copyright: Copyright 2019 by Takeshi KOMIYA :license: Apache License 2.0, see LICENSE for details. """ import re from typing import Tuple from docutils.nodes import Element from pycmark.inlineparser import backtrack_onerror from pycmark.inlineparser import link_processors as commonmark from pycmark.inlineparser.link_processors import LinkTitleParser from pycmark.readers import TextReader from pycmark.utils import ESCAPED_CHARS class LinkCloserProcessor(commonmark.LinkCloserProcessor): @backtrack_onerror def parse_link_destination(self, reader: TextReader, document: Element) -> Tuple[str, str]: reader.step() destination = LinkDestinationParser().parse(reader, document) title = LinkTitleParser().parse(reader, document) assert reader.consume(re.compile(r'\s*\)')) return destination, title class LinkDestinationParser(commonmark.LinkDestinationParser): # spaces are allowed inside angle brackets pattern = re.compile(r'\s*<((?:[^ <>\n\\]|' + ESCAPED_CHARS + r'| |\\)*)>', re.S)

33.277778

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null

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null

0

1

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1

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2

c25f5fef4a70616370e8dd0de9a703dbe2d9037c

6,772

py

Python

agtc/code_generation/type_gens/type_gens_ops.py

PetarMihalj/AGT

114b1f8ee5a9820ab10a375ff44254b50c018b22

[ "MIT" ]

10

2021-07-06T16:31:06.000Z

2021-07-12T11:30:51.000Z

agtc/code_generation/type_gens/type_gens_ops.py

PetarMihalj/AGT

114b1f8ee5a9820ab10a375ff44254b50c018b22

[ "MIT" ]

null

agtc/code_generation/type_gens/type_gens_ops.py

PetarMihalj/AGT

114b1f8ee5a9820ab10a375ff44254b50c018b22

[ "MIT" ]

null

from typing import Tuple, List from dataclasses import dataclass from .. import inference_errors as ierr from .. import type_system as ts from .. import context from ..code_blocks import Primitive from ..type_engine import TypingContext from . import func_methods, concrete_methods, add_method_to_list # --------------------------------------------------------------------- mapping_int_binary = { "__eq__": (False, "eq"), "__ne__": (False, "ne"), '__gt__': (False, "sgt"), '__lt__': (False, "slt"), '__ge__': (False, "sge"), '__le__': (False, "sle"), '__add__': (True, "add"), '__sub__': (True, "sub"), '__mul__': (True, "mul"), '__div__': (True, "sdiv"), '__mod__': (True, "srem"), } @add_method_to_list(func_methods) def gen_int_type_ops( tc: TypingContext, name: str, type_argument_types: Tuple[ts.Type], argument_types: Tuple[ts.Type], ): if name not in mapping_int_binary: raise ierr.TypeGenError() if len(type_argument_types) != 0: raise ierr.TypeGenError() if len(argument_types) != 2: raise ierr.TypeGenError() if not isinstance(argument_types[0], ts.IntType): raise ierr.TypeGenError() if not isinstance(argument_types[1], ts.IntType): raise ierr.TypeGenError() if argument_types[0].size != argument_types[1].size: raise ierr.TypeGenError() dname = tc.scope_man.new_func_name(f"dummy_func_{name}") retty = argument_types[0] if mapping_int_binary[name][0] else ts.BoolType() tc.code_blocks.append(IntTypeOpPrimitive( dname, name, argument_types[0].size, )) ft = ts.FunctionType( dname, retty, do_not_copy_args = False, ) return ft @dataclass class IntTypeOpPrimitive(Primitive): mangled_name: str op: str size: int def get_code(self): def arithmetic(opname): return [ f"define dso_local i{self.size} @{self.mangled_name}(i{self.size} %0, i{self.size} %1) {{", f"\t%3 = {opname} nsw i{self.size} %0, %1", f"\tret i{self.size} %3", f"}}", ] def comp(opname): return [ f"define dso_local i1 @{self.mangled_name}(i{self.size} %0, i{self.size} %1) {{", f"\t%3 = icmp {opname} i{self.size} %0, %1", f"\tret i1 %3", f"}}", ] a,opname = mapping_int_binary[self.op] if a: return arithmetic(opname) else: return comp(opname) # --------------------------------------------------------------------- mapping_char_binary = { "__eq__": (False, "eq"), "__ne__": (False, "ne"), } @add_method_to_list(func_methods) def gen_char_type_ops( tc: TypingContext, name: str, type_argument_types: Tuple[ts.Type], argument_types: Tuple[ts.Type], ): if name not in mapping_char_binary: raise ierr.TypeGenError() if len(type_argument_types) != 0: raise ierr.TypeGenError() if len(argument_types) != 2: raise ierr.TypeGenError() if not isinstance(argument_types[0], ts.CharType): raise ierr.TypeGenError() if not isinstance(argument_types[1], ts.CharType): raise ierr.TypeGenError() dname = tc.scope_man.new_func_name(f"dummy_func_{name}") retty = ts.BoolType() tc.code_blocks.append(CharTypeOpPrimitive( dname, name, )) ft = ts.FunctionType( dname, retty, do_not_copy_args = False, ) return ft @dataclass class CharTypeOpPrimitive(Primitive): mangled_name: str op: str def get_code(self): def comp(opname): return [ f"define dso_local i1 @{self.mangled_name}(i8 %0, i8 %1) {{", f"\t%3 = icmp {opname} i8 %0, %1", f"\tret i1 %3", f"}}", ] a,opname = mapping_int_binary[self.op] return comp(opname) # --------------------------------------------------------------------- mapping_bool_binary = { "__and__": "and", "__or__": "or", } @add_method_to_list(func_methods) def gen_bool_type_ops( tc: TypingContext, name: str, type_argument_types: Tuple[ts.Type], argument_types: Tuple[ts.Type], ): if name not in mapping_bool_binary: raise ierr.TypeGenError() if len(type_argument_types) != 0: raise ierr.TypeGenError() if len(argument_types) != 2: raise ierr.TypeGenError() if not isinstance(argument_types[0], ts.BoolType): raise ierr.TypeGenError() if not isinstance(argument_types[1], ts.BoolType): raise ierr.TypeGenError() dname = tc.scope_man.new_func_name(f"dummy_func_{name}") tc.code_blocks.append(BoolTypeOpPrimitive( dname, name, )) ft = ts.FunctionType( dname, ts.BoolType(), do_not_copy_args = False, ) return ft @dataclass class BoolTypeOpPrimitive(Primitive): mangled_name: str op: str def get_code(self): return [ f"define dso_local i1 @{self.mangled_name}(i1 %0, i1 %1) {{", f"\t%3 = {mapping_bool_binary[self.op]} i1 %0, %1", f"\tret i1 %3", f"}}", ] # --------------------------------------------------------------------- @add_method_to_list(func_methods) def gen_bool_type_not( tc: TypingContext, name: str, type_argument_types: Tuple[ts.Type], argument_types: Tuple[ts.Type], ): if name != '__not__': raise ierr.TypeGenError() if len(type_argument_types) != 0: raise ierr.TypeGenError() if len(argument_types) != 1: raise ierr.TypeGenError() if not isinstance(argument_types[0], ts.BoolType): raise ierr.TypeGenError() dname = tc.scope_man.new_func_name(f"dummy_func_{name}") tc.code_blocks.append(BoolTypeNotPrimitive( dname, )) ft = ts.FunctionType( dname, ts.BoolType(), do_not_copy_args = False, ) return ft @dataclass class BoolTypeNotPrimitive(Primitive): mangled_name: str def get_code(self): return [ f"define dso_local i1 @{self.mangled_name}(i1 %0) {{", f"\t%2 = add i1 1, %0", f"\tret i1 %2", f"}}", ] # ---------------------------------------------------------------------

26.98008

107

0.533816

767

6,772

4.439374

0.146023

0.103084

0.123348

0.108076

0.751248

0.741557

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0.642291

0

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0.297696

6,772

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27.088

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0

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0

0.009852

0.123266

0.025713

0

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0.054187

false

0

0.039409

0.024631

0.211823

0

null

0

1

0

1

0

null

0

2

c26efa1d42794617b5c67d334f2e516d9553e666

1,450

py

Python

app/__init__.py

TylerJang27/Pikachooze

1497e4e5b2bb5e8136c9cfea6e13260478fe7502

[ "MIT" ]

2

2021-10-20T16:44:23.000Z

2021-11-29T04:54:02.000Z

app/__init__.py

TylerJang27/Pikachooze

1497e4e5b2bb5e8136c9cfea6e13260478fe7502

[ "MIT" ]

null

app/__init__.py

TylerJang27/Pikachooze

1497e4e5b2bb5e8136c9cfea6e13260478fe7502

[ "MIT" ]

null

from flask import Flask from app.config import Config from app.db import DB from app.models.base import login, babel from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker import subprocess from os import getcwd, path import uuid from app.models.trainer_pokemon import TrainerPokemon from app.models.trainer import Trainer def create_app(): app = Flask(__name__) app.config.from_object(Config) create_path = path.join(getcwd(), app.config['SQL_CREATE_PATH']) process = subprocess.Popen(create_path, shell=True, stdout=subprocess.PIPE) process.wait() process.kill() app.db = DB(app) load_path = path.join(getcwd(), app.config['SQL_LOAD_PATH']) subprocess.call([load_path]) engine = create_engine(Config.SQLALCHEMY_DATABASE_URI, echo=True) #TODO: GET FROM OTHER ONE Session = sessionmaker(engine, expire_on_commit=True) session = Session() tps = session.query(TrainerPokemon).all() for tp in tps: if tp.uuid is None: tp.uuid = uuid.uuid4() session.add(tp) ts = session.query(Trainer).all() for t in ts: if t.uuid is None: t.uuid = uuid.uuid4() session.add(t) session.commit() login.init_app(app) babel.init_app(app) from .index import bp as index_bp app.register_blueprint(index_bp) from .users import bp as user_bp app.register_blueprint(user_bp) return app

26.851852

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207

1,450

4.7343

0.342995

0.035714

0.039796

0.040816

0.108163

0.061224

0

0.001744

0.208966

1,450

53

96

27.358491

0.852659

0.016552

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0.019649

0

0.018868

0

1

0.02381

false

0

0.309524

0

0.357143

0.047619

0

null

0

null

0

1

0

1

0

2

c288b445d9effebdfee2f3b482f3af8554543ed7

178

py

Python

PC/Model/add_lib_to_path.py

limvi-licef/GoalFormulationAssistanceAR

ed9c33c874a555b1b9e6638ac08d449a685488bc

[ "Apache-2.0" ]

null

PC/Model/add_lib_to_path.py

limvi-licef/GoalFormulationAssistanceAR

ed9c33c874a555b1b9e6638ac08d449a685488bc

[ "Apache-2.0" ]

null

PC/Model/add_lib_to_path.py

limvi-licef/GoalFormulationAssistanceAR

ed9c33c874a555b1b9e6638ac08d449a685488bc

[ "Apache-2.0" ]

1

2020-08-14T06:40:28.000Z

# coding: utf-8 import sys import os FILE = os.path.abspath(__file__) PATH, file = os.path.split(FILE) PATH, contextual_assistance = os.path.split(PATH) sys.path.append(PATH)

16.181818

49

0.741573

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4.37931

0.448276

0.141732

0.15748

0

0.00641

0.123596

178

11

50

16.181818

0.807692

0.073034

0

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false

0

0.333333

0

0.333333

0

1

0

null

0

null

0

1

0

2

c2987395b58ac18e74fc36d492ce3390722ba8ee

571

py

Python

Day 10-15 - Python CSV and Email/day10-working.py

sameem420/30-Days-of-Python

f74b2a02d7e13f4f686bf2f93f35039804ae26f8

[ "MIT" ]

1

2021-04-06T07:00:00.000Z

Day 10-15 - Python CSV and Email/day10-working.py

sameem420/30-Days-of-Python

f74b2a02d7e13f4f686bf2f93f35039804ae26f8

[ "MIT" ]

null

Day 10-15 - Python CSV and Email/day10-working.py

sameem420/30-Days-of-Python

f74b2a02d7e13f4f686bf2f93f35039804ae26f8

[ "MIT" ]

null

from smtplib import SMTP host = "smtp.gmail.com" port = 587 username = "example@gmail.com" # Your email address password = "example" # Your password from_email = username # email_address = username to_list = ["example@gmail.com"] # List of users you want to send messages to. server_connection = SMTP( host, port) server_connection.ehlo_or_helo_if_needed() server_connection.starttls() server_connection.login(username, password) server_connection.sendmail(from_email, to_list, "Welcome to Python Mailing!" ) print("Mail sent successfully!") server_connection.quit()

30.052632

78

0.781086

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0.518987

0.222738

0.069606

0

0.005952

0.117338

571

18

79

31.722222

0.849206

0.176883

0

0.223656

0

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false

0.142857

0.071429

0

0.071429

0

null

1

0

null

0

1

0

2

c2d7fb7560d2296d9941b4bc2b1ef33225e984df

521

py

Python

Rasp-main/cleanDatabase.py

ascuadrado/ISC

0d3f623dabf40dc0057e8da0d3c75c8b2dd339e9

[ "MIT" ]

1

2020-11-18T12:22:09.000Z

Rasp-main/cleanDatabase.py

ascuadrado/ISC

0d3f623dabf40dc0057e8da0d3c75c8b2dd339e9

[ "MIT" ]

null

Rasp-main/cleanDatabase.py

ascuadrado/ISC

0d3f623dabf40dc0057e8da0d3c75c8b2dd339e9

[ "MIT" ]

null

import sqlite3 # File names dbFile = 'ISC/Rasp-main/Database.db' def clean_database(): conn = sqlite3.connect(dbFile) c = conn.cursor() c.execute('DELETE FROM general;', ) c.execute('DELETE FROM charger;', ) c.execute('DELETE FROM sevcon;', ) c.execute('DELETE FROM bms1;', ) c.execute('DELETE FROM bms2;', ) c.execute('DELETE FROM bms3;', ) # commit the changes to db conn.commit() # close the connection conn.close() if __name__ == '__main__': clean_database()

20.84

39

0.633397

67

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4.776119

0.492537

0.15

0.2625

0.3375

0

0.012315

0.220729

521

25

40

20.84

0.775862

0.107486

0

0.309524

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0

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false

0

0.066667

0

0.133333

0

null

0

1

0

null

0

2

c2e26458a9ab334aab77cd6da16c95a917948f62

759

py

Python

node.py

monooso/udacity-nd256-project-four

954b63f7bd6b04e4041b98c41895766bf67a8244

[ "MIT" ]

1

2019-08-12T14:49:15.000Z

node.py

monooso/udacity-nd256-project-four

954b63f7bd6b04e4041b98c41895766bf67a8244

[ "MIT" ]

null

node.py

monooso/udacity-nd256-project-four

954b63f7bd6b04e4041b98c41895766bf67a8244

[ "MIT" ]

null

class Node(object): def __init__(self, id, x, y): self.__id = id self.__x = x self.__y = y self.reset() @property def id(self): return self.__id @property def x(self): return self.__x @property def y(self): return self.__y @property def total_distance_to_goal(self): """ Get the distance from the origin to the goal, via this node. :returns: the total distance """ return self.distance_to_here + self.distance_to_goal def reset(self): """Reset any mutable values.""" self.via = None self.visited = False self.distance_to_goal = float('inf') self.distance_to_here = float('inf')

22.323529

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0.478261

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