xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

7fb6655e444707235655b6b04ce814593df93517

153

py

Python

dev.py

wabscale/flasq

ea5cba81c3259441f64e96a7c63d2234728100a3

[ "MIT" ]

1

2022-02-25T02:12:10.000Z

dev.py

wabscale/flasq

ea5cba81c3259441f64e96a7c63d2234728100a3

[ "MIT" ]

null

dev.py

wabscale/flasq

ea5cba81c3259441f64e96a7c63d2234728100a3

[ "MIT" ]

null

from web import app from glob import glob app.run( debug=True, host='0.0.0.0', port=5000, extra_files=glob('./web/templates/**.html') )

15.3

47

0.627451

25

153

3.8

0.64

0.063158

0

0.065574

0.202614

153

9

48

17

0.713115

0

0.196078

0.150327

0

1

0

true

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

1

0

3

7fbdd22fcfc2573215684df2e76cac9a67962312

154

py

Python

String/P151 - reverseWordsInString.py

HarshOza36/LeetCode_Problems

6d7035e0d681213ac602b9e0382dbfa87f8d4745

[ "MIT" ]

null

String/P151 - reverseWordsInString.py

HarshOza36/LeetCode_Problems

6d7035e0d681213ac602b9e0382dbfa87f8d4745

[ "MIT" ]

null

String/P151 - reverseWordsInString.py

HarshOza36/LeetCode_Problems

6d7035e0d681213ac602b9e0382dbfa87f8d4745

[ "MIT" ]

null

class Solution: def reverseWords(self, s: str) -> str: s = s.split(" ") s = [i for i in s if i != ""] return " ".join(s[::-1])

30.8

42

0.454545

23

154

3.043478

0.652174

0

0.009901

0.344156

154

5

43

30.8

0.683168

0

0.012903

0

1

0.2

false

0

0.6

0

1

0

null

0

1

0

null

0

1

0

3

f6852dfc604081fcd05261f22cc95fbff38847fc

2,317

py

Python

qrogue/game/logic/collectibles/collectible.py

7Magic7Mike7/Qrogue

70bd5671a77981c1d4b633246321ba44f13c21ff

[ "MIT" ]

4

2021-12-14T19:13:43.000Z

2022-02-16T13:25:38.000Z

qrogue/game/logic/collectibles/collectible.py

7Magic7Mike7/Qrogue

70bd5671a77981c1d4b633246321ba44f13c21ff

[ "MIT" ]

null

qrogue/game/logic/collectibles/collectible.py

7Magic7Mike7/Qrogue

70bd5671a77981c1d4b633246321ba44f13c21ff

[ "MIT" ]

1

2022-01-04T18:35:51.000Z

import math from abc import ABC, abstractmethod from enum import Enum from typing import Iterator class CollectibleType(Enum): Consumable = 1 Gate = 2 ActiveItem = 3 PassiveItem = 4 Pickup = 5 Qubit = 6 Multi = 0 # wraps multiple collectibles def type_str(c_type: CollectibleType) -> str: if c_type is CollectibleType.Gate: return " Gate" else: return "" class Collectible(ABC): def __init__(self, c_type: CollectibleType): self.__type = c_type @property def type(self): return self.__type @abstractmethod def name(self) -> str: pass @abstractmethod def description(self) -> str: pass @abstractmethod def default_price(self) -> int: pass @abstractmethod def to_string(self) -> str: pass class MultiCollectible(Collectible): PRICE_MULT = 0.9 def __init__(self, content: [Collectible]): super(MultiCollectible, self).__init__(CollectibleType.Multi) self.__content = content def name(self) -> str: return "Collectible Pack" def description(self) -> str: desc = "Contains multiple Collectibles:" for collectible in self.__content: desc += "\n - " + collectible.name() return desc def default_price(self) -> int: price = 0 for collectible in self.__content: price += collectible.default_price() return math.ceil(price * MultiCollectible.PRICE_MULT) def to_string(self) -> str: text = "Multi [" for collectible in self.__content: text += collectible.to_string() + ", " return text + "]" def iterator(self) -> Iterator[Collectible]: return iter(self.__content) class ShopItem: def __init__(self, collectible: Collectible, price: int = -1): self.__collectible = collectible if price < 0: price = collectible.default_price() self.__price = price @property def collectible(self) -> Collectible: return self.__collectible @property def price(self) -> int: return self.__price def to_string(self) -> str: return f"{self.collectible}, {self.price}$" def __str__(self): return self.to_string()

22.715686

69

0.616314

252

2,317

5.436508

0.25

0.035766

0.024088

0.032847

0.169343

0

0.007282

0.288735

2,317

101

70

22.940594

0.824029

0.011653

0

0.306667

0

0.044143

0

1

0.24

false

0.066667

0.053333

0.093333

0.613333

0

null

0

null

0

1

0

1

0

1

0

3

f689cb30eecdf29de4c6be77cd697849835314bd

180

py

Python

cvp/setup.py

hashnfv/hashnfv-dovetail

73f332fc513f184513be483db6a108bd3c7b7d9b

[ "Apache-2.0" ]

1

2017-11-03T01:06:51.000Z

cvp/setup.py

hashnfv/hashnfv-dovetail

73f332fc513f184513be483db6a108bd3c7b7d9b

[ "Apache-2.0" ]

null

cvp/setup.py

hashnfv/hashnfv-dovetail

73f332fc513f184513be483db6a108bd3c7b7d9b

[ "Apache-2.0" ]

2

2017-09-05T13:38:20.000Z

2017-10-12T21:56:11.000Z

import setuptools __author__ = 'serena' try: import multiprocessing # noqa except ImportError: pass setuptools.setup( setup_requires=['pbr==2.0.0'], pbr=True)

12.857143

34

0.683333

21

180

5.619048

0.761905

0

0.020979

0.205556

180

13

35

13.846154

0.804196

0.022222

0

0.091954

0

1

0

false

0.111111

0.333333

0

0.333333

0

1

0

null

0

null

0

1

0

3

f6a98ab922bb283e3d03fe3c75cc8eb473f34455

95

py

Python

models/dbconfig.py

FusionX9000/Reddit-Saves-Manager

6109f3b40a992f99ba95346b1e39a2df07e1bcb7

[ "MIT" ]

null

models/dbconfig.py

FusionX9000/Reddit-Saves-Manager

6109f3b40a992f99ba95346b1e39a2df07e1bcb7

[ "MIT" ]

1

2021-06-02T01:12:35.000Z

models/dbconfig.py

FusionX9000/Reddit-Saves-Manager

6109f3b40a992f99ba95346b1e39a2df07e1bcb7

[ "MIT" ]

null

database = "database" user = "postgres" password = "password" host = "localhost" port = "5432"

15.833333

21

0.684211

10

95

6.5

0.8

0

0.05

0.157895

95

5

22

19

0.7625

0

0.389474

0

1

0

false

0.2

0

1

0

null

0

1

0

null

0

1

0

3

f6a9f53335a90945beeac0881642656ecefd349b

318

py

Python

Programs/HowToUse.py

aposum23/laborathory14

03e251e267b5783b12ea9b2f4ba2da41194f349e

[ "MIT" ]

null

Programs/HowToUse.py

aposum23/laborathory14

03e251e267b5783b12ea9b2f4ba2da41194f349e

[ "MIT" ]

null

Programs/HowToUse.py

aposum23/laborathory14

03e251e267b5783b12ea9b2f4ba2da41194f349e

[ "MIT" ]

null

def mul(a, b): return a * b mul(3, 4) #12 def mul5(a): return mul(5,a) mul5(2) #10 def mul(a): def helper(b): return a * b return helper mul(5)(2) #10 def fun1(a): x = a * 3 def fun2(b): nonlocal x return b + x return fun2 test_fun = fun1(4) test_fun(7) #19

9.9375

20

0.512579

60

318

2.683333

0.35

0.037267

0.086957

0.111801

0

0.110577

0.345912

318

31

21

10.258065

0.663462

0.025157

0

0.105263

0

1

0.315789

false

0

0.157895

0.631579

0

null

0

null

0

1

0

1

0

3

f6ab9a9d8d75aed7d16ae4d945c1c5fe7a289970

152

py

Python

py_tdlib/constructors/set_bot_updates_status.py

Mr-TelegramBot/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

24

2018-10-05T13:04:30.000Z

2020-05-12T08:45:34.000Z

py_tdlib/constructors/set_bot_updates_status.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

3

2019-06-26T07:20:20.000Z

2021-05-24T13:06:56.000Z

py_tdlib/constructors/set_bot_updates_status.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

5

2018-10-05T14:29:28.000Z

2020-08-11T15:04:10.000Z

from ..factory import Method class setBotUpdatesStatus(Method): pending_update_count = None # type: "int32" error_message = None # type: "string"

21.714286

45

0.743421

18

152

6.111111

0.833333

0.145455

0

0.015625

0.157895

152

6

46

25.333333

0.84375

0.184211

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

f6b7fa5f60e2de9db3a6e09ccdc529c81f6a56da

203

py

Python

cah/__init__.py

pordino/aikaterna-cogs

07108bc808b571395e511586492f719c6582e72e

[ "Apache-2.0" ]

98

2017-09-12T01:52:17.000Z

2022-03-17T16:43:01.000Z

cah/__init__.py

pordino/aikaterna-cogs

07108bc808b571395e511586492f719c6582e72e

[ "Apache-2.0" ]

147

2016-12-01T04:39:05.000Z

2022-02-13T02:20:14.000Z

cah/__init__.py

pordino/aikaterna-cogs

07108bc808b571395e511586492f719c6582e72e

[ "Apache-2.0" ]

160

2016-12-01T20:19:44.000Z

2022-03-30T10:32:41.000Z

from .cah import CardsAgainstHumanity __red_end_user_data_statement__ = "This cog does not persistently store data or metadata about users." def setup(bot): bot.add_cog(CardsAgainstHumanity(bot))

25.375

102

0.802956

28

203

5.5

0.821429

0

0.133005

203

7

103

29

0.875

0

0.325123

0

1

0.25

false

0

0.25

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

f6c1d658392020e0d6f57aed9f80cf163700273d

197

py

Python

aa.py

ani37/Hello-world

db3998f9ce110b145c48eda401c607acc726cd2c

[ "MIT" ]

null

aa.py

ani37/Hello-world

db3998f9ce110b145c48eda401c607acc726cd2c

[ "MIT" ]

null

aa.py

ani37/Hello-world

db3998f9ce110b145c48eda401c607acc726cd2c

[ "MIT" ]

1

2018-10-27T10:14:24.000Z

MAX = 100000 MOD = pwo(10, 9) + 7 dp = [1 for in xrange(MAX)] for i in xrange(7, MAX): dp[i] = (dp[i - 1] + dp[i - 7]) % MOD n = input() for i in xrange(n): k = input() print dp[k]

16.416667

39

0.502538

40

197

2.475

0.425

0.242424

0.121212

0.242424

0

0.101449

0.299492

197

11

40

17.909091

0.615942

0

null

0

null

0.111111

0

null

1

0

1

0

null

0

1

0

3

f6d7d9fa5e972fea2d582789bda3bf36878133b2

3,673

py

Python

test/priors/test_half_cauchy_prior.py

noamsgl/gpytorch

c3e3109c756ace47d82ff8b1f52b2d77748ff09c

[ "MIT" ]

188

2017-06-09T20:42:18.000Z

2018-02-15T11:17:09.000Z

test/priors/test_half_cauchy_prior.py

noamsgl/gpytorch

c3e3109c756ace47d82ff8b1f52b2d77748ff09c

[ "MIT" ]

49

2017-07-18T02:55:17.000Z

2018-02-15T21:23:42.000Z

test/priors/test_half_cauchy_prior.py

noamsgl/gpytorch

c3e3109c756ace47d82ff8b1f52b2d77748ff09c

[ "MIT" ]

24

2017-07-12T17:29:52.000Z

2018-02-15T19:25:07.000Z

#!/usr/bin/env python3 import unittest import torch from torch.distributions import HalfCauchy from gpytorch.priors import HalfCauchyPrior from gpytorch.test.utils import least_used_cuda_device class TestHalfCauchyPrior(unittest.TestCase): def test_half_cauchy_prior_to_gpu(self): if torch.cuda.is_available(): prior = HalfCauchy(1.0).cuda() self.assertEqual(prior.concentration.device.type, "cuda") self.assertEqual(prior.rate.device.type, "cuda") def test_half_cauchy_prior_validate_args(self): with self.assertRaises(ValueError): HalfCauchyPrior(-1, validate_args=True) with self.assertRaises(ValueError): HalfCauchyPrior(-1, validate_args=True) def test_half_cauchy_prior_log_prob(self, cuda=False): device = torch.device("cuda") if cuda else torch.device("cpu") prior = HalfCauchyPrior(0.1) dist = HalfCauchy(0.1) t = torch.tensor(1.0, device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t))) t = torch.tensor([1.5, 0.5], device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t))) t = torch.tensor([[1.0, 0.5], [3.0, 0.25]], device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t))) def test_half_cauchy_prior_log_prob_cuda(self): if torch.cuda.is_available(): with least_used_cuda_device(): return self.test_gamma_prior_log_prob(cuda=True) def test_half_cauchy_prior_log_prob_log_transform(self, cuda=False): device = torch.device("cuda") if cuda else torch.device("cpu") prior = HalfCauchyPrior(0.1, transform=torch.exp) dist = HalfCauchy(0.1) t = torch.tensor(0.0, device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t.exp()))) t = torch.tensor([-1, 0.5], device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t.exp()))) t = torch.tensor([[-1, 0.5], [0.1, -2.0]], device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t.exp()))) def test_half_cauchy_prior_log_prob_log_transform_cuda(self): if torch.cuda.is_available(): with least_used_cuda_device(): return self.test_half_cauchy_prior_log_prob_log_transform(cuda=True) def test_half_cauchy_prior_batch_log_prob(self, cuda=False): device = torch.device("cuda") if cuda else torch.device("cpu") prior = HalfCauchyPrior(0.1) dist = HalfCauchy(0.1) t = torch.ones(2, device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t))) t = torch.ones(2, 2, device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t))) scale = torch.tensor([0.1, 1.0], device=device) prior = HalfCauchyPrior(scale) dist = HalfCauchy(scale) t = torch.ones(2, device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t))) t = torch.ones(2, 2, device=device) self.assertTrue(torch.equal(prior.log_prob(t), dist.log_prob(t))) with self.assertRaises(ValueError): prior.log_prob(torch.ones(3, device=device)) with self.assertRaises(ValueError): prior.log_prob(torch.ones(2, 3, device=device)) def test_half_cauchy_prior_batch_log_prob_cuda(self): if torch.cuda.is_available(): with least_used_cuda_device(): return self.test_half_cauchy_prior_batch_log_prob(cuda=True) if __name__ == "__main__": unittest.main()

41.738636

84

0.665941

521

3,673

4.476008

0.128599

0.093053

0.068611

0.081475

0.783019

0.763293

0.752144

0.7247

0.683533

0.541595

0

0.019501

0.204193

3,673

87

85

42.218391

0.77831

0.005717

0

0.507246

0

0.010134

0

0.231884

1

0.115942

false

0

0.072464

0

0.246377

0

null

0

1

0

null

0

3

f6e2d912d61b57a1bc1a9fc88cfe7298ffc1b85b

480

py

Python

covid19sweden/__init__.py

martinbenes1996/covid19sweden

100993e41c302ffd96fa39857dd8ddd21267f1ed

[ "MIT" ]

1

2020-06-06T21:02:10.000Z

covid19sweden/__init__.py

martinbenes1996/covid19sweden

100993e41c302ffd96fa39857dd8ddd21267f1ed

[ "MIT" ]

1

2020-06-25T00:18:21.000Z

2020-06-26T02:34:19.000Z

covid19sweden/__init__.py

martinbenes1996/covid19sweden

100993e41c302ffd96fa39857dd8ddd21267f1ed

[ "MIT" ]

1

2020-06-06T21:04:22.000Z

# -*- coding: utf-8 -*- """Webscraper for Swedish data. Reference: https://www.scb.se/hitta-statistik/statistik-efter-amne/befolkning/befolkningens-sammansattning/befolkningsstatistik/pong/tabell-och-diagram/preliminar-statistik-over-doda/ Todo: * caching """ import pkg_resources from .main import * from . import fohm from .scb import * from .backup import * try: __version__ = pkg_resources.get_distribution("covid19sweden").version except: __version__ = None

24

183

0.75625

57

480

6.175439

0.754386

0.068182

0

0.007109

0.120833

480

20

184

24

0.827014

0.535417

0

0.059908

0

0.05

0

1

0

false

0

0.555556

0

0.555556

0

null

0

null

0

1

0

1

0

1

0

3

f6ecd0aafed1e62eb63756a09afea3562d8bef9e

99

py

Python

api/newsCategory/apps.py

jhonatantft/ckl

8a0d533922fa091ac5f2dbe50caee3920ec2b90d

[ "MIT" ]

null

api/newsCategory/apps.py

jhonatantft/ckl

8a0d533922fa091ac5f2dbe50caee3920ec2b90d

[ "MIT" ]

2

2021-05-08T21:26:43.000Z

2022-02-19T00:26:17.000Z

api/newsCategory/apps.py

jhonatantft/ckl

8a0d533922fa091ac5f2dbe50caee3920ec2b90d

[ "MIT" ]

null

from django.apps import AppConfig class NewscategoryConfig(AppConfig): name = 'newsCategory'

16.5

36

0.777778

10

99

7.7

0.9

0

0.151515

99

5

37

19.8

0.916667

0

0.121212

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

10182dc2e471f5a0f909b79006a7d28c08916403

509

py

Python

querybook/server/datasources_socketio/connect.py

shivammmmm/querybook

71263eb7db79e56235ea752f2cf3339ca9b3a092

[ "Apache-2.0" ]

1,144

2021-03-30T05:06:16.000Z

2022-03-31T10:40:31.000Z

querybook/server/datasources_socketio/connect.py

shivammmmm/querybook

71263eb7db79e56235ea752f2cf3339ca9b3a092

[ "Apache-2.0" ]

593

2021-07-01T10:34:25.000Z

2022-03-31T23:24:40.000Z

querybook/server/datasources_socketio/connect.py

shivammmmm/querybook

71263eb7db79e56235ea752f2cf3339ca9b3a092

[ "Apache-2.0" ]

113

2021-03-30T00:07:20.000Z

2022-03-31T07:18:43.000Z

from flask_login import current_user from flask_socketio import ConnectionRefusedError from app.flask_app import socketio from const.data_doc import DATA_DOC_NAMESPACE from const.query_execution import QUERY_EXECUTION_NAMESPACE def connect(): if not current_user.is_authenticated: raise ConnectionRefusedError("User is not logged in, please refresh the page.") socketio.on("connect", namespace=DATA_DOC_NAMESPACE)(connect) socketio.on("connect", namespace=QUERY_EXECUTION_NAMESPACE)(connect)

31.8125

87

0.827112

68

509

5.955882

0.426471

0.051852

0.079012

0.128395

0

0.11002

509

15

88

33.933333

0.89404

0

0.119843

0

1

0.1

true

0

0.5

0

0.6

0

null

0

null

0

1

0

1

0

1

0

3

1220d274182a0990223702c61d3c21c277645d4a

452

py

Python

uim/model/helpers/__init__.py

Wacom-Developer/universal-ink-library

689ed90e09e912b8fc9ac249984df43a7b59aa59

[ "Apache-2.0" ]

5

2021-09-06T11:45:37.000Z

2022-03-24T15:56:06.000Z

uim/model/helpers/__init__.py

Wacom-Developer/universal-ink-library

689ed90e09e912b8fc9ac249984df43a7b59aa59

[ "Apache-2.0" ]

null

uim/model/helpers/__init__.py

Wacom-Developer/universal-ink-library

689ed90e09e912b8fc9ac249984df43a7b59aa59

[ "Apache-2.0" ]

2

2021-09-03T09:08:45.000Z

2021-12-15T14:03:16.000Z

# -*- coding: utf-8 -*- """ Helpers ======= The helpers are simple functions to support with: - Catmull-Rom splines - Extracting text and named entities from Ink Model - Iterate over the Ink Tree """ __all__ = ['spline', 'text_extractor', 'treeiterator', 'policy'] from uim.model.helpers import spline from uim.model.helpers import text_extractor from uim.model.helpers import treeiterator from uim.model.helpers import policy

25.111111

64

0.710177

59

452

5.338983

0.542373

0.088889

0.152381

0.24127

0.31746

0

0.002703

0.181416

452

17

65

26.588235

0.848649

0.431416

0

0.164502

0

1

0

false

0

0.8

0

0.8

0

null

0

1

0

null

0

1

0

1

0

3

122e92d89d689afb07f2870e5616b184ec228c74

74

py

Python

Chapter2_Python/fStrings.py

dependencyInversion/UdemyML

9e1a0a01688a82c61ef006a592a58c12fb186552

[ "MIT" ]

null

Chapter2_Python/fStrings.py

dependencyInversion/UdemyML

9e1a0a01688a82c61ef006a592a58c12fb186552

[ "MIT" ]

null

Chapter2_Python/fStrings.py

dependencyInversion/UdemyML

9e1a0a01688a82c61ef006a592a58c12fb186552

[ "MIT" ]

null

my_name = "Jan" my_age = 23 print(f"Age: { my_age }, Name: { my_name }")

14.8

44

0.594595

14

74

2.857143

0.5

0.3

0

0.033898

0.202703

74

4

45

18.5

0.644068

0

0.5

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

3

124d0147a05244a749391c0acf979893ea8c65d5

6,372

py

Python

nexpose_rest/nexpose_policy.py

Patralos/nexpose-rest

c03431a408afd1528b0ca5a00859467574953ea0

[ "MIT" ]

null

nexpose_rest/nexpose_policy.py

Patralos/nexpose-rest

c03431a408afd1528b0ca5a00859467574953ea0

[ "MIT" ]

null

nexpose_rest/nexpose_policy.py

Patralos/nexpose-rest

c03431a408afd1528b0ca5a00859467574953ea0

[ "MIT" ]

null

from nexpose_rest.nexpose import _GET def getPolicies(config, filter=None, scannedOnly=None): getParameters=[] if filter is not None: getParameters.append('filter=' + filter) if scannedOnly is not None: getParameters.append('scannedOnly=' + scannedOnly) code, data = _GET('/api/3/policies', config, getParameters=getParameters) return data def getPolicyRuleControls(config, policyId, ruleId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/rules/' + str(ruleId) + '/controls', config, getParameters=getParameters) return data def getAssetPolicyRulesSummary(config, assetId, policyId): getParameters=[] code, data = _GET('/api/3/assets/' + str(assetId) + '/policies/' + str(policyId) + '/rules', config, getParameters=getParameters) return data def getPolicyGroup(config, policyId, groupId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/groups/' + str(groupId) + '', config, getParameters=getParameters) return data def getPolicyRule(config, policyId, ruleId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/rules/' + str(ruleId) + '', config, getParameters=getParameters) return data def getPolicyRuleAssetResultProof(config, policyId, ruleId, assetId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/rules/' + str(ruleId) + '/assets/' + str(assetId) + '/proof', config, getParameters=getParameters) return data def getDisabledPolicyRules(config, policyId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/rules/disabled', config, getParameters=getParameters) return data def getPolicyChildren(config, id): getParameters=[] code, data = _GET('/api/3/policies/' + str(id) + '/children', config, getParameters=getParameters) return data def getPolicyGroups(config, policyId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/groups', config, getParameters=getParameters) return data def getPolicyAssetResults(config, policyId, applicableOnly=None): getParameters=[] if applicableOnly is not None: getParameters.append('applicableOnly=' + applicableOnly) code, data = _GET('/api/3/policies/' + str(policyId) + '/assets', config, getParameters=getParameters) return data def getAssetPolicyChildren(config, assetId, policyId): getParameters=[] code, data = _GET('/api/3/assets/' + str(assetId) + '/policies/' + str(policyId) + '/children', config, getParameters=getParameters) return data def getPolicyRuleRationale(config, policyId, ruleId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/rules/' + str(ruleId) + '/rationale', config, getParameters=getParameters) return data def getPolicyGroupRulesWithAssetAssessment(config, assetId, policyId, groupId): getParameters=[] code, data = _GET('/api/3/assets/' + str(assetId) + '/policies/' + str(policyId) + '/groups/' + str(groupId) + '/rules', config, getParameters=getParameters) return data def getPolicyRuleAssetResults(config, policyId, ruleId, applicableOnly=None): getParameters=[] if applicableOnly is not None: getParameters.append('applicableOnly=' + applicableOnly) code, data = _GET('/api/3/policies/' + str(policyId) + '/rules/' + str(ruleId) + '/assets', config, getParameters=getParameters) return data def getAssetPolicyGroupChildren(config, assetId, policyId, groupId): getParameters=[] code, data = _GET('/api/3/assets/' + str(assetId) + '/policies/' + str(policyId) + '/groups/' + str(groupId) + '/children', config, getParameters=getParameters) return data def getPoliciesForAsset(config, assetId, applicableOnly=None): getParameters=[] if applicableOnly is not None: getParameters.append('applicableOnly=' + applicableOnly) code, data = _GET('/api/3/assets/' + str(assetId) + '/policies', config, getParameters=getParameters) return data def getPolicyRuleRemediation(config, policyId, ruleId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/rules/' + str(ruleId) + '/remediation', config, getParameters=getParameters) return data def getPolicyRules(config, policyId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/rules', config, getParameters=getParameters) return data def getPolicySummary(config): getParameters=[] code, data = _GET('/api/3/policy/summary', config, getParameters=getParameters) return data def getPolicyGroupAssetResult(config, policyId, groupId, assetId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/groups/' + str(groupId) + '/assets/' + str(assetId) + '', config, getParameters=getParameters) return data def getPolicyAssetResult(config, policyId, assetId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/assets/' + str(assetId) + '', config, getParameters=getParameters) return data def getPolicyGroupAssetResults(config, policyId, groupId, applicableOnly=None): getParameters=[] if applicableOnly is not None: getParameters.append('applicableOnly=' + applicableOnly) code, data = _GET('/api/3/policies/' + str(policyId) + '/groups/' + str(groupId) + '/assets', config, getParameters=getParameters) return data def getDescendantPolicyRules(config, policyId, groupId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/groups/' + str(groupId) + '/rules', config, getParameters=getParameters) return data def getPolicyRuleAssetResult(config, policyId, ruleId, assetId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/rules/' + str(ruleId) + '/assets/' + str(assetId) + '', config, getParameters=getParameters) return data def getPolicyGroupChildren(config, policyId, groupId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '/groups/' + str(groupId) + '/children', config, getParameters=getParameters) return data def getPolicy(config, policyId): getParameters=[] code, data = _GET('/api/3/policies/' + str(policyId) + '', config, getParameters=getParameters) return data

37.482353

164

0.694131

642

6,372

6.845794

0.101246

0.116724

0.065074

0.082821

0.806143

0.783845

0.681911

0.604778

0.595904

0.552446

0

0.004849

0.158506

6,372

169

165

37.704142

0.814808

0

0.512821

0

0.127903

0.003296

0

1

0.222222

false

0.017094

0.008547

0

0.452991

0

null

0

1

0

null

0

1

0

3

12630eab0d2633dd229a8455f46121e72a20a96c

437

py

Python

skypy/galaxies/__init__.py

itrharrison/skypy-itrharrison

cea1f02d1b2cd3b689266d7ae9bca1a4cfe986a2

[ "BSD-3-Clause" ]

88

2020-04-06T15:48:17.000Z

2022-02-16T12:01:54.000Z

skypy/galaxies/__init__.py

itrharrison/skypy-itrharrison

cea1f02d1b2cd3b689266d7ae9bca1a4cfe986a2

[ "BSD-3-Clause" ]

332

2020-04-04T07:30:08.000Z

2022-03-30T14:49:08.000Z

skypy/galaxies/__init__.py

itrharrison/skypy-itrharrison

cea1f02d1b2cd3b689266d7ae9bca1a4cfe986a2

[ "BSD-3-Clause" ]

41

2020-04-03T13:50:43.000Z

2022-03-24T16:10:03.000Z

""" This module contains methods that model the intrinsic properties of galaxy populations. """ __all__ = [ 'schechter_lf', ] from . import luminosity # noqa F401,F403 from . import morphology # noqa F401,F403 from . import redshift # noqa F401,F403 from . import spectrum # noqa F401,F403 from . import stellar_mass # noqa F401,F403 from ._schechter import schechter_lf # noqa from ._schechter import schechter_smf # noqa

24.277778

74

0.743707

58

437

5.431034

0.465517

0.15873

0.190476

0.253968

0.279365

0

0.084034

0.183066

437

17

75

25.705882

0.798319

0.395881

0

0.048

0

1

0

false

0

0.7

0

0.7

0

null

0

1

0

null

0

1

0

3

126f3570c8ca400c14dbf8aadb5953428e90972f

86

py

Python

droidlet/dialog/robot/dialogue_objects/__init__.py

CowherdChris/droidlet

8d965c1ebc38eceb6f8083c52b1146c1bc17d5e1

[ "MIT" ]

null

droidlet/dialog/robot/dialogue_objects/__init__.py

CowherdChris/droidlet

8d965c1ebc38eceb6f8083c52b1146c1bc17d5e1

[ "MIT" ]

null

droidlet/dialog/robot/dialogue_objects/__init__.py

CowherdChris/droidlet

8d965c1ebc38eceb6f8083c52b1146c1bc17d5e1

[ "MIT" ]

null

from .loco_dialogue_object import LocoBotCapabilities __all__ = [LocoBotCapabilities]

28.666667

53

0.872093

8

86

8.625

0.875

0

0.081395

86

3

54

28.666667

0.873418

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

12732154001636677778fe83629d7b02a01b585b

148

py

Python

psana/psana/momentum/Energy.py

JBlaschke/lcls2

30523ef069e823535475d68fa283c6387bcf817b

[ "BSD-3-Clause-LBNL" ]

16

2017-11-09T17:10:56.000Z

2022-03-09T23:03:10.000Z

psana/psana/momentum/Energy.py

JBlaschke/lcls2

30523ef069e823535475d68fa283c6387bcf817b

[ "BSD-3-Clause-LBNL" ]

6

2017-12-12T19:30:05.000Z

2020-07-09T00:28:33.000Z

psana/psana/momentum/Energy.py

JBlaschke/lcls2

30523ef069e823535475d68fa283c6387bcf817b

[ "BSD-3-Clause-LBNL" ]

25

2017-09-18T20:02:43.000Z

2022-03-27T22:27:42.000Z

import numpy as np def CalcEnergy(m_amu,Px_au,Py_au,Pz_au): amu2au = 1836.15 return 27.2*(Px_au**2 + Py_au**2 + Pz_au**2)/(2*amu2au*m_amu)

24.666667

65

0.668919

33

148

2.757576

0.545455

0.098901

0

0.120968

0.162162

148

5

66

29.6

0.612903

0

1

0.25

false

0

0.25

0

0.75

0

null

0

1

0

null

0

1

0

1

0

3

12732acde8058d66a7523c9ed83348d21998d829

357

py

Python

timer.py

davidbarkhuizen/simagora

43d44dc058adcde4738574cb1132abaa02e6516e

[ "MIT" ]

1

2017-04-30T23:31:43.000Z

timer.py

davidbarkhuizen/simagora

43d44dc058adcde4738574cb1132abaa02e6516e

[ "MIT" ]

null

timer.py

davidbarkhuizen/simagora

43d44dc058adcde4738574cb1132abaa02e6516e

[ "MIT" ]

null

from time import clock import logging #~ class Timer(object): #~ #~ def start(self,s): #~ self.s = s #~ self.started = clock() #~ #~ def stop(self): #~ self.stopped = clock() #~ t = self.stopped - self.started #~ self.log(t) #~ #~ def log(self, t): #~ line = self.s + ',' + str(t) #~ logging.info(line)

19.833333

38

0.504202

45

357

4

0.444444

0.083333

0

0.296919

357

17

39

21

0.717131

0.70028

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

89c4524ab54cd0dacd5f166c3bbe02a8a3454498

5,966

py

Python

google/ads/google_ads/v3/proto/services/shopping_performance_view_service_pb2.py

andy0937/google-ads-python

cb5da7f4a75076828d1fc3524b08cc167670435a

[ "Apache-2.0" ]

null

google/ads/google_ads/v3/proto/services/shopping_performance_view_service_pb2.py

andy0937/google-ads-python

cb5da7f4a75076828d1fc3524b08cc167670435a

[ "Apache-2.0" ]

null

google/ads/google_ads/v3/proto/services/shopping_performance_view_service_pb2.py

andy0937/google-ads-python

cb5da7f4a75076828d1fc3524b08cc167670435a

[ "Apache-2.0" ]

1

2020-03-13T00:14:31.000Z

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/ads/googleads_v3/proto/services/shopping_performance_view_service.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.ads.google_ads.v3.proto.resources import shopping_performance_view_pb2 as google_dot_ads_dot_googleads__v3_dot_proto_dot_resources_dot_shopping__performance__view__pb2 from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2 from google.api import client_pb2 as google_dot_api_dot_client__pb2 from google.api import field_behavior_pb2 as google_dot_api_dot_field__behavior__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='google/ads/googleads_v3/proto/services/shopping_performance_view_service.proto', package='google.ads.googleads.v3.services', syntax='proto3', serialized_options=_b('\n$com.google.ads.googleads.v3.servicesB#ShoppingPerformanceViewServiceProtoP\001ZHgoogle.golang.org/genproto/googleapis/ads/googleads/v3/services;services\242\002\003GAA\252\002 Google.Ads.GoogleAds.V3.Services\312\002 Google\\Ads\\GoogleAds\\V3\\Services\352\002$Google::Ads::GoogleAds::V3::Services'), serialized_pb=_b('\nNgoogle/ads/googleads_v3/proto/services/shopping_performance_view_service.proto\x12 google.ads.googleads.v3.services\x1aGgoogle/ads/googleads_v3/proto/resources/shopping_performance_view.proto\x1a\x1cgoogle/api/annotations.proto\x1a\x17google/api/client.proto\x1a\x1fgoogle/api/field_behavior.proto\"?\n!GetShoppingPerformanceViewRequest\x12\x1a\n\rresource_name\x18\x01 \x01(\tB\x03\xe0\x41\x02\x32\xae\x02\n\x1eShoppingPerformanceViewService\x12\xee\x01\n\x1aGetShoppingPerformanceView\x12\x43.google.ads.googleads.v3.services.GetShoppingPerformanceViewRequest\x1a:.google.ads.googleads.v3.resources.ShoppingPerformanceView\"O\x82\xd3\xe4\x93\x02\x39\x12\x37/v3/{resource_name=customers/*/shoppingPerformanceView}\xda\x41\rresource_name\x1a\x1b\xca\x41\x18googleads.googleapis.comB\x8a\x02\n$com.google.ads.googleads.v3.servicesB#ShoppingPerformanceViewServiceProtoP\x01ZHgoogle.golang.org/genproto/googleapis/ads/googleads/v3/services;services\xa2\x02\x03GAA\xaa\x02 Google.Ads.GoogleAds.V3.Services\xca\x02 Google\\Ads\\GoogleAds\\V3\\Services\xea\x02$Google::Ads::GoogleAds::V3::Servicesb\x06proto3') , dependencies=[google_dot_ads_dot_googleads__v3_dot_proto_dot_resources_dot_shopping__performance__view__pb2.DESCRIPTOR,google_dot_api_dot_annotations__pb2.DESCRIPTOR,google_dot_api_dot_client__pb2.DESCRIPTOR,google_dot_api_dot_field__behavior__pb2.DESCRIPTOR,]) _GETSHOPPINGPERFORMANCEVIEWREQUEST = _descriptor.Descriptor( name='GetShoppingPerformanceViewRequest', full_name='google.ads.googleads.v3.services.GetShoppingPerformanceViewRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='resource_name', full_name='google.ads.googleads.v3.services.GetShoppingPerformanceViewRequest.resource_name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=_b('\340A\002'), file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=277, serialized_end=340, ) DESCRIPTOR.message_types_by_name['GetShoppingPerformanceViewRequest'] = _GETSHOPPINGPERFORMANCEVIEWREQUEST _sym_db.RegisterFileDescriptor(DESCRIPTOR) GetShoppingPerformanceViewRequest = _reflection.GeneratedProtocolMessageType('GetShoppingPerformanceViewRequest', (_message.Message,), dict( DESCRIPTOR = _GETSHOPPINGPERFORMANCEVIEWREQUEST, __module__ = 'google.ads.googleads_v3.proto.services.shopping_performance_view_service_pb2' , __doc__ = """Request message for [ShoppingPerformanceViewService.GetShoppingPerformanceView][google.ads.googleads.v3.services.ShoppingPerformanceViewService.GetShoppingPerformanceView]. Attributes: resource_name: Required. The resource name of the Shopping performance view to fetch. """, # @@protoc_insertion_point(class_scope:google.ads.googleads.v3.services.GetShoppingPerformanceViewRequest) )) _sym_db.RegisterMessage(GetShoppingPerformanceViewRequest) DESCRIPTOR._options = None _GETSHOPPINGPERFORMANCEVIEWREQUEST.fields_by_name['resource_name']._options = None _SHOPPINGPERFORMANCEVIEWSERVICE = _descriptor.ServiceDescriptor( name='ShoppingPerformanceViewService', full_name='google.ads.googleads.v3.services.ShoppingPerformanceViewService', file=DESCRIPTOR, index=0, serialized_options=_b('\312A\030googleads.googleapis.com'), serialized_start=343, serialized_end=645, methods=[ _descriptor.MethodDescriptor( name='GetShoppingPerformanceView', full_name='google.ads.googleads.v3.services.ShoppingPerformanceViewService.GetShoppingPerformanceView', index=0, containing_service=None, input_type=_GETSHOPPINGPERFORMANCEVIEWREQUEST, output_type=google_dot_ads_dot_googleads__v3_dot_proto_dot_resources_dot_shopping__performance__view__pb2._SHOPPINGPERFORMANCEVIEW, serialized_options=_b('\202\323\344\223\0029\0227/v3/{resource_name=customers/*/shoppingPerformanceView}\332A\rresource_name'), ), ]) _sym_db.RegisterServiceDescriptor(_SHOPPINGPERFORMANCEVIEWSERVICE) DESCRIPTOR.services_by_name['ShoppingPerformanceViewService'] = _SHOPPINGPERFORMANCEVIEWSERVICE # @@protoc_insertion_point(module_scope)

53.267857

1,127

0.826852

702

5,966

6.702279

0.274929

0.065462

0.074389

0.089267

0.397237

0.346015

0.255048

0.231668

0.127524

0.103294

0

0.039308

0.070399

5,966

111

1,128

53.747748

0.809052

0.057492

0

0.116279

1

0.034884

0.458868

0.419516

0

1

0

false

0

0.104651

0

0.104651

0

null

0

1

0

1

0

1

null

0

3

89de59b92801ba07cf84ab98bf1071d2e2892971

311

py

Python

Lists/In_Lists.py

obareau/python_travaux_pratiques

2205f4c253e96e409b56f5c23d6e23387ab46524

[ "MIT" ]

1

2021-11-01T12:45:50.000Z

Lists/In_Lists.py

obareau/python_travaux_pratiques

2205f4c253e96e409b56f5c23d6e23387ab46524

[ "MIT" ]

null

Lists/In_Lists.py

obareau/python_travaux_pratiques

2205f4c253e96e409b56f5c23d6e23387ab46524

[ "MIT" ]

null

# Check if the value is in the list? words = ['apple', 'banana', 'peach', '42'] if 'apple' in words: print('found apple') if 'a' in words: print('found a') else: print('NOT found a') if 42 in words: print('found 42') else: print('NOT found 42') # found apple # NOT found a # NOT found 42

16.368421

42

0.604502

52

311

3.615385

0.326923

0.170213

0.191489

0.271277

0

0.042373

0.241158

311

19

43

16.368421

0.754237

0.228296

0

0.181818

0

0.309322

0

1

0

false

0

0.454545

0

null

0

1

0

null

0

1

0

3

89dfe3895be78648508f25f822750a4e38dd966a

46,445

py

Python

src/genesis_api_wrapper/catalogue.py

j-suchard/destatis-genesis-api

b0bbec0283ba41707d543b11e556ab0997e5f792

[ "BSD-3-Clause" ]

null

src/genesis_api_wrapper/catalogue.py

j-suchard/destatis-genesis-api

b0bbec0283ba41707d543b11e556ab0997e5f792

[ "BSD-3-Clause" ]

null

src/genesis_api_wrapper/catalogue.py

j-suchard/destatis-genesis-api

b0bbec0283ba41707d543b11e556ab0997e5f792

[ "BSD-3-Clause" ]

null

import datetime import typing from . import enums, tools class CatalogueAPIWrapper: """Methods for listing objects""" def __init__( self, username: str, password: str, language: enums.Language = enums.Language.GERMAN ): """Create a new Wrapper containing functions for listing different object types :param username: The username which will be used for authenticating at the database. Due to constraints of the database the username needs to be exactly 10 characters long and may not contain any whitespaces :type username: str :param password: The password which will be used for authenticating at the database. Due to constraints of the database the password needs to be at least 10 characters long, may not exceed 20 characters and may not contain any whitespaces :type password: str :param language: The language in which the responses are returned by the database. :py:enum:mem:`~genesis_api_wrapper.enums.Language.GERMAN` has the most compatibility with the database since most of the tables are on German. Therefore, this parameter defaults to :py:enum:mem:`~genesis_api_wrapper.enums.Language.GERMAN` :type language: enums.Language :raise ValueError: The username or the password did not match the constraints stated in their description. """ if " " in username: raise ValueError("The username may not contain any whitespaces") if len(username) != 10: raise ValueError("The username may only be 10 characters long") if " " in password: raise ValueError("The password may not contain any whitespaces") if len(password) < 10: raise ValueError( f"The password may not be shorter than 10 characters. Current " f"length: {len(password)}" ) if len(password) > 20: raise ValueError( f"The password may not be longer that 20 characters. Current " f"length: {len(password)}" ) self._username = username self._password = password self._language = language self._service_url = "/catalogue" self._base_parameter = { "username": self._username, "password": self._password, "language": self._language.value, } async def cubes( self, object_name: str, storage_location: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ) -> dict: """ **PREMIUM ACCESS REQUIRED** List the datacubes matching the ``object_name`` :param object_name: The identifier code of the data cubes. The usage of an asterisk (``*``) is permitted as wildcard :type object_name: str :param storage_location: The storage location of the object, defaults to :py:enum:mem:`~genesis_api_wrapper.enums.ObjectStorage.ALL` :type storage_location: enums.ObjectStorage, optional :param result_count: The maximal amount of results which are returned by the database, defaults to 100 :type result_count: int, optional :return: The response from the database parsed into a dict. If the ``Content-Type`` header indicated a non-JSON response the response is stored in a temporary file and the file path will be returned :rtype: dict, os.PathLike :raises exceptions.GENESISPermissionError: The supplied account does not have the permissions to access data cubes. :raises ValueError: One of the parameters does not contain a valid value. Please check the message of the exception for further information """ if " " in object_name: raise ValueError("The object_name parameter may not contain whitespaces") if len(object_name) == 0: raise ValueError("The object_name parameter may not be empty") if len(object_name) > 10: raise ValueError("The object_name parameter may not exceed 10 characters") if type(storage_location) is not enums.ObjectStorage: raise ValueError( f"The storage_location parameter only accepts " f"{repr(enums.ObjectStorage)} values" ) if result_count < 1: raise ValueError("The result_count parameter value may not be below 0") if result_count > 2500: raise ValueError("The result_count parameter value may not exceed 2500") query_parameters = self._base_parameter | { "selection": object_name, "area": storage_location.value, "pagelength": result_count, } query_path = self._service_url + "/cubes" return await tools.get_database_response(query_path, query_parameters) async def cubes2statistic( self, object_name: str, cube_code: typing.Optional[str] = None, storage_location: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ) -> dict: """ **PREMIUM ACCESS REQUIRED** List the datacubes matching the ``object_name`` :param object_name: The identifier code of the statistic :type object_name: str :param cube_code: The identifier code of the cube. The usage of an asterisk (``*``) is permitted as wildcard. This value acts as filter, only showing the data cubes matching this code :type cube_code: str, optional :param storage_location: The storage location of the object, defaults to :py:enum:mem:`~genesis_api_wrapper.enums.ObjectStorage.ALL` :type storage_location: enums.ObjectStorage :param result_count: The maximal amount of results which are returned by the database, defaults to 100 :type result_count: int :return: The response from the database parsed into a dict. If the ``Content-Type`` header indicated a non-JSON response the response is stored in a temporary file and the file path will be returned :rtype: dict, os.PathLike :raises exceptions.GENESISPermissionError: The supplied account does not have the permissions to access data cubes. :raises ValueError: One of the parameters does not contain a valid value. Please check the message of the exception for further information """ if " " in object_name: raise ValueError("The object_name parameter may not contain whitespaces") if "*" in object_name: raise ValueError( "The object_name parameter may not contain asterisks. Wildcards are " "not permitted" ) if len(object_name) == 0: raise ValueError("The object_name parameter may not be empty") if len(object_name) > 6: raise ValueError("The object_name parameter may not exceed 6 characters") if cube_code is not None and " " in cube_code: raise ValueError("The cube_code parameter may not contain whitespaces") if cube_code is not None and len(cube_code) == 0: raise ValueError("The cube_code parameter may not be empty") if cube_code is not None and len(cube_code) > 10: raise ValueError("The cube_code parameter may not exceed 10 characters") if type(storage_location) is not enums.ObjectStorage: raise ValueError( f"The storage_location parameter only accepts " f"{repr(enums.ObjectStorage)} values" ) if result_count < 1: raise ValueError("The result_count parameter value may not be below 0") if result_count > 2500: raise ValueError("The result_count parameter value may not exceed 2500") query_parameters = self._base_parameter | { "name": object_name, "selection": "" if cube_code is None else cube_code, "area": storage_location.value, "pagelength": result_count, } query_path = self._service_url + "/cubes2statistic" return await tools.get_database_response(query_path, query_parameters) async def cubes2variable( self, object_name: str, cube_code: str, storage_location: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ) -> dict: """ **PREMIUM ACCESS REQUIRED** List the datacubes matching the ``object_name`` :param object_name: The identifier code of the variable :type object_name: str :param cube_code: The identifier code of the cube. The usage of an asterisk (``*``) is permitted as wildcard. This value acts as filter, only showing the data cubes matching this code :type cube_code: str, optional :param storage_location: The storage location of the object, defaults to :py:enum:mem:`~genesis_api_wrapper.enums.ObjectStorage.ALL` :type storage_location: enums.ObjectStorage :param result_count: The maximal amount of results which are returned by the database, defaults to 100 :type result_count: int :return: The response from the database parsed into a dict. If the ``Content-Type`` header indicated a non-JSON response the response is stored in a temporary file and the file path will be returned :rtype: dict, os.PathLike :raises exceptions.GENESISPermissionError: The supplied account does not have the permissions to access data cubes. :raises ValueError: One of the parameters does not contain a valid value. Please check the message of the exception for further information """ if " " in object_name: raise ValueError("The object_name parameter may not contain whitespaces") if "*" in object_name: raise ValueError( "The object_name parameter may not contain asterisks. Wildcards are " "not permitted" ) if len(object_name) == 0: raise ValueError("The object_name parameter may not be empty") if len(object_name) > 6: raise ValueError("The object_name parameter may not exceed 6 characters") if cube_code is not None and " " in cube_code: raise ValueError("The cube_code parameter may not contain whitespaces") if cube_code is not None and len(cube_code) == 0: raise ValueError("The cube_code parameter may not be empty") if cube_code is not None and len(cube_code) > 10: raise ValueError("The cube_code parameter may not exceed 10 characters") if type(storage_location) is not enums.ObjectStorage: raise ValueError( f"The storage_location parameter only accepts " f"{repr(enums.ObjectStorage)} values" ) if result_count < 1: raise ValueError("The result_count parameter value may not be below 0") if result_count > 2500: raise ValueError("The result_count parameter value may not exceed 2500") query_parameters = self._base_parameter | { "name": object_name, "selection": "" if cube_code is None else cube_code, "area": storage_location.value, "pagelength": result_count, } query_path = self._service_url + "/cubes2variable" return await tools.get_database_response(query_path, query_parameters) async def jobs( self, object_name: str, search_by: enums.JobCriteria, sort_by: enums.JobCriteria, job_type: enums.JobType = enums.JobType.ALL, result_count: int = 100, ) -> dict: """ Get a list of the jobs that match the parameters :param object_name: The identifier code of the job. The usage of an asterisk (``*``) is permitted as wildcard. This value acts as filter, only showing the jobs matching this code :type object_name: str :param search_by: Criteria which shall be applied to the object_name :type search_by: enums.JobCriteria :param sort_by: Criteria by which the output shall be sorted :type sort_by: enums.JobCriteria :param job_type: The type of jobs which shall be returned, defaults to :py:enum:mem:`~genesis_api_wrapper.enums.JobType.ALL` :type job_type: enums.JobType :param result_count: The maximal amount of results which are returned by the database, defaults to 100 :type result_count: int :rtype: dict, os.PathLike :raises exceptions.GENESISPermissionError: The supplied account does not have the permissions to this resource. :raises ValueError: One of the parameters does not contain a valid value. Please check the message of the exception for further information """ if " " in object_name: raise ValueError("The object_name parameter may not contain whitespaces") if "*" in object_name: raise ValueError( "The object_name parameter may not contain asterisks. Wildcards are " "not permitted" ) if len(object_name) == 0: raise ValueError("The object_name parameter may not be empty") if len(object_name) > 50: raise ValueError("The object_name parameter may not exceed 50 characters") if type(search_by) is not enums.JobCriteria: raise ValueError( f"The search_by parameter only accepts values from the following enumeration: " f"{repr(enums.JobCriteria)}" ) if type(sort_by) is not enums.JobCriteria: raise ValueError( f"The sort_by parameter only accepts values from the following enumeration: " f"{repr(enums.JobCriteria)}" ) if type(job_type) is not enums.JobType: raise ValueError( f"The job_type parameter only accepts values from the following enumeration: " f"{repr(enums.JobType)}" ) if result_count < 1: raise ValueError("The result_count parameter value may not be below 0") if result_count > 2500: raise ValueError("The result_count parameter value may not exceed 2500") query_parameter = self._base_parameter | { 'selection': object_name, 'searchcriterion': search_by.value, 'sortcriterion': sort_by.value, 'type': job_type.value, 'pagelength': result_count } query_path = self._service_url + '/jobs' return await tools.get_database_response(query_path, query_parameter) async def modified_data( self, object_filter: str, object_type: enums.ObjectType = enums.ObjectType.ALL, updated_after: datetime.date = datetime.date.today() - datetime.timedelta(days=-7), result_count: int = 100 ) -> dict: """ **Due to an error in the database the parameter** ``result_count`` **is ignored by the database** Get a list of modified objects which were modified or uploaded after ``updated_after``. The following objects are returned by this query: - Tables - Statistics - Statistic updates :param object_filter: The identifier code of the object. The usage of an asterisk (``*``) is permitted as wildcard. This value acts as filter, only showing the jobs matching this code :type object_filter: str :param object_type: The type of object that shall be listed Allowed types (enums): - :py:enum:mem:`~genesis_api_wrapper.enums.ObjectType.ALL` - :py:enum:mem:`~genesis_api_wrapper.enums.ObjectType.TABLES` - :py:enum:mem:`~genesis_api_wrapper.enums.ObjectType.STATISTICS` - :py:enum:mem:`~genesis_api_wrapper.enums.ObjectType.STATISTIC_UPDATE` :type object_type: enums.ObjectType :param updated_after: The date after which the object needs to be modified or uploaded to be returned by the database, defaults to 7 days before today :type updated_after: datetime.date :param result_count: The number of results that will be returned :type result_count: int """ if " " in object_filter: raise ValueError("The object_filter parameter may not contain whitespaces") if len(object_filter) == 0: raise ValueError("The object_filter parameter may not be empty") if len(object_filter) > 50: raise ValueError("The object_filter parameter may not exceed 50 characters") if type(object_type) is not enums.ObjectType: raise ValueError( f"The object_type parameter only accepts values from the following enumeration: " f"{repr(enums.ObjectType)}" ) if object_type not in [enums.ObjectType.ALL, enums.ObjectType.TABLES, enums.ObjectType.STATISTICS, enums.ObjectType.STATISTICS_UPDATE]: raise ValueError( f"The supplied object_type ({object_type}) is not allowed at this resource" ) if updated_after > datetime.date.today(): raise ValueError( f'The updated_after parameter is in the future' ) # ==== Build the query data ==== query_path = self._service_url + '/modifieddata' query_parameters = self._base_parameter | { 'selection': object_filter, 'type': object_type.value, 'date': tools.convert_date_to_string(updated_after), 'pagelength': result_count } # ==== Return the query data ==== return await tools.get_database_response(query_path, query_parameters) async def quality_signs(self) -> dict: """ Get the list of quality signs from the database :return: The Response containing the quality signs present in the database :rtype: dict """ query_path = self._service_url + '/qualitysigns' query_parameters = self._base_parameter return await tools.get_database_response(query_path, query_parameters) async def results( self, object_name: str, storage_location: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100 ) -> dict: """ Get a list of result tables matching the ``object_name`` :param object_name: The identifier code of the result tables. The usage of an asterisk (``*``) is permitted as wildcard :type object_name: str :param storage_location: The storage location of the object, defaults to :py:enum:mem:`~genesis_api_wrapper.enums.ObjectStorage.ALL` :type storage_location: enums.ObjectStorage, optional :param result_count: The maximal amount of results which are returned by the database, defaults to 100 :type result_count: int, optional :return: The response from the database parsed into a dict. If the ``Content-Type`` header indicated a non-JSON response the response is stored in a temporary file and the file path will be returned :rtype: dict, os.PathLike :raises exceptions.GENESISPermissionError: The supplied account does not have the permissions to access data cubes. :raises ValueError: One of the parameters does not contain a valid value. Please check the message of the exception for further information """ if " " in object_name: raise ValueError("The object_name parameter may not contain whitespaces") if len(object_name) == 0: raise ValueError("The object_name parameter may not be empty") if len(object_name) > 10: raise ValueError("The object_name parameter may not exceed 10 characters") if type(storage_location) is not enums.ObjectStorage: raise ValueError( f"The storage_location parameter only accepts " f"{repr(enums.ObjectStorage)} values" ) if result_count < 1: raise ValueError("The result_count parameter value may not be below 0") if result_count > 2500: raise ValueError("The result_count parameter value may not exceed 2500") # ==== Build the query path and parameters ==== query_path = self._service_url + '/results' query_parameters = self._base_parameter | { 'selection': object_name, 'area': storage_location.value, 'pagelength': result_count } # ==== Get the response ==== return await tools.get_database_response(query_path, query_parameters) async def statistics( self, object_name: str, storage_location: enums.ObjectStorage = enums.ObjectStorage.ALL, search_by: enums.GenericCriteria = enums.GenericCriteria.CODE, sort_by: enums.GenericCriteria = enums.GenericCriteria.CODE, result_count: int = 100 ) -> dict: """ Get a list of statistics matching the supplied code :param object_name: The identifier code of the data cubes. The usage of an asterisk (``*``) is permitted as wildcard :type object_name: str :param storage_location: The storage location of the object, defaults to :py:enum:mem:`~genesis_api_wrapper.enums.ObjectStorage.ALL` :type storage_location: enums.ObjectStorage, optional :param search_by: Criteria which shall be applied to the ``object_name``, defaults to :py:enum:mem:`~genesis_api_wrapper.enums.GenericCriteria.CODE` :type search_by: enums.GenericCriteria, optional :param sort_by: Criteria by which the result shall be sorted, defaults to :py:enum:mem:`~genesis_api_wrapper.enums.GenericCriteria.CODE` :type sort_by: enums.GenericCriteria, optional :param result_count: The number of results that the response shall contain at it's maximum :type result_count: int :return: The response from the database parsed into a dict. If the ``Content-Type`` header indicated a non-JSON response the response is stored in a temporary file and the file path will be returned :rtype: dict, os.PathLike :raises exceptions.GENESISPermissionError: The supplied account does not have the permissions to access data cubes. :raises ValueError: One of the parameters does not contain a valid value. Please check the message of the exception for further information """ if " " in object_name: raise ValueError("The object_name parameter may not contain whitespaces") if len(object_name) == 0: raise ValueError("The object_name parameter may not be empty") if len(object_name) > 15: raise ValueError("The object_name parameter may not exceed 15 characters") if type(storage_location) is not enums.ObjectStorage: raise ValueError( f"The storage_location parameter only accepts " f"{repr(enums.ObjectStorage)} values" ) if type(search_by) is not enums.GenericCriteria: raise ValueError( f"The search_by parameter only accepts " f"{repr(enums.GenericCriteria)} values" ) if type(sort_by) is not enums.GenericCriteria: raise ValueError( f"The sort_by parameter only accepts " f"{repr(enums.GenericCriteria)} values" ) if result_count < 1: raise ValueError("The result_count parameter value may not be below 0") if result_count > 2500: raise ValueError("The result_count parameter value may not exceed 2500") # ==== Build query path and parameters ==== query_path = self._service_url + '/statistics' query_parameters = self._base_parameter | { 'selection': object_name, 'searchcriterion': search_by.value, 'sortcriterion': sort_by.value, 'pagelength': result_count } return await tools.get_database_response(query_path, query_parameters) async def statistics2variable( self, variable_name: str, statistic_selector: str = None, search_by: enums.StatisticCriteria = enums.StatisticCriteria.CODE, sort_by: enums.StatisticCriteria = enums.StatisticCriteria.CODE, object_area: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ): """Get a list of statistics which are referenced by the selected variable :param variable_name: The name of the variable [required] :type variable_name: str :param statistic_selector: Filter for the statistics by the code of them, [optional, stars allowed to wildcard, max. length 15] :type statistic_selector: str :param search_by: The field on which the code shall be applied, [optional, defaults to `GENESISenums.StatisticCriteria.CODE`] :type search_by: enums.StatisticCriteria :param sort_by: The field by which the results are to be sorted, [optional, defaults to `GENESISenums.StatisticCriteria.CODE`] :type sort_by: enums.StatisticCriteria :param object_area: The area in which the object is stored :type object_area: enums.ObjectStorage :param result_count: The number of results which are returned by the request :type result_count: int :return: The response returned by the server """ if variable_name is None: raise ValueError("The variable name needs to be set to run a successful query") if not 1 <= len(variable_name.strip()) <= 15: raise ValueError("The variable names length needs to be between 1 and 15 signs") if statistic_selector and not (1 <= len(statistic_selector.strip()) <= 15): raise ValueError("The selectors length may not exceed 15 characters") # Create the parameters object _param = self._base_parameter | { "name": variable_name, "selection": "" if statistic_selector is None else statistic_selector, "searchcriterion": search_by.value, "sortcriterion": sort_by.value, "pagelength": result_count, "area": object_area.value, } _url = self._service_url + "/statistics2variable" return await tools.get_database_response(_url, _param) async def tables( self, table_selector: str, object_area: enums.ObjectStorage = enums.ObjectStorage.ALL, sort_by: enums.TableCriteria = enums.TableCriteria.CODE, result_count: int = 100, ) -> dict: """Get a list of tables matching the selector from the selected object area :param table_selector: The code of the table [required, stars (*) allowed for wildcards] :param object_area: The area in which the table is stored [defaults to ALL] :param sort_by: The criteria by which the results shall be sorted [defaults to CODE] :param result_count: The number of results that shall be returned :return: A list of tables matching the request """ if table_selector and not (1 <= len(table_selector.strip()) <= 15): raise ValueError( "The table selector needs to be at least 1 character and max 15 " "characters" ) _param = self._base_parameter | { "selection": table_selector, "area": object_area.value, "searchcriterion": "Code", "sortcriterion": sort_by.value, "pagelength": result_count, } _url = self._service_url + "/tables" return await tools.get_database_response(_url, _param) async def tables2statistics( self, statistics_name: str, table_selector: str = None, object_area: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ) -> dict: """Get a list of tables matching the table selector which are assigned to the :param statistics_name: Name of the statistic [required, 1-15 characters] :param table_selector: Filter for the tables code [optional, wildcards allowed] :param object_area: The location of the statistic/tables :param result_count: The number of tables in the response :return: """ if statistics_name is None: raise ValueError("The name of the statistic is required to get the tables") if not 1 <= len(statistics_name.strip()) <= 15: raise ValueError("The length of the statistics name needs to be between 1 and 15") if table_selector and not (1 <= len(table_selector.strip()) <= 15): raise ValueError( "The table selector needs to be at least 1 character and max 15 " "characters" ) _param = self._base_parameter | { "name": statistics_name, "selection": table_selector, "area": object_area.value, "pagelength": result_count, } _url = self._service_url + "/tables2statistic" return await tools.get_database_response(_url, _param) async def tables2variable( self, variable_name: str, table_selector: str = None, object_area: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ) -> dict: """Get a list of tables matching the table selector which are assigned to the :param variable_name: Name of the statistic [required, 1-15 characters] :param table_selector: Filter for the tables code [optional, wildcards allowed] :param object_area: The location of the statistic/tables :param result_count: The number of tables in the response :return: """ if variable_name is None: raise ValueError("The name of the statistic is required to get the tables") if not 1 <= len(variable_name) <= 15: raise ValueError("The length of the statistics name needs to be between 1 and 15") if table_selector and not (1 <= len(table_selector.strip()) <= 15): raise ValueError( "The table selector needs to be at least 1 character and max 15 " "characters" ) _param = self._base_parameter | { "name": variable_name, "selection": table_selector, "area": object_area.value, "pagelength": result_count, } _url = self._service_url + "/tables2variable" return await tools.get_database_response(_url, _param) async def terms(self, term_selector: str, result_count: int = 100): """Get a list of terms according to the selector :param term_selector: The selector for the terms [required, wildcards allowed] :param result_count: The number of terms which shall be returned :return: The parsed response from the server """ if term_selector is None: raise ValueError("The selector for the terms is a required parameter") if not 1 <= len(term_selector.strip()) <= 15: raise ValueError("The length of the selector needs to be between 1 and 15") _param = self._base_parameter | {"selection": term_selector, "pagelength": result_count} _url = self._service_url + "/terms" return await tools.get_database_response(_url, _param) async def timeseries( self, timeseries_selector: str, object_location: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ) -> dict: """Get a list of timeseries according to the selector and the location of the object :param timeseries_selector: The selector for the timeseries [required, wildcards allowed] :param object_location: The area in which the object is stored [default: ``enums.ObjectStorage.ALL``] :param result_count: The number of results that shall be returned :return: The list of found timeseries """ if timeseries_selector is None: raise ValueError("The selector is required for a successful database request") if not 1 <= len(timeseries_selector.strip()) <= 15: raise ValueError( "The length of the selector needs to be between 1 and 15 " "characters" ) _param = self._base_parameter | { "selection": timeseries_selector, "area": object_location.value, "pagelength": result_count, } _url = self._service_url + "/timeseries" return await tools.get_database_response(_url, _param) async def timeseries2statistic( self, statistic_name: str, timeseries_selector: typing.Optional[str] = None, object_location: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ): """Get a list of timeseries which are related to the selected statistic :param statistic_name: Code of the statistic [required, length: 1-15 characters] :param timeseries_selector: Filter for the timeseries by their code [optional, wildcards allowed] :param object_location: The storage location of the object :param result_count: The number of results that shall be returned :return: A response containing the list of timeseries which match the supplied parameters """ if statistic_name is None: raise ValueError("The name of the statistic is a required parameter") if timeseries_selector and not (1 <= len(timeseries_selector.strip()) <= 15): raise ValueError( "If a timeseries_selector is supplied its length may not exceed " "15 characters" ) # Build the query parameters param = self._base_parameter | { "name": statistic_name, "selection": "" if timeseries_selector is None else timeseries_selector, "area": object_location.value, "pagelength": result_count, } url = self._service_url + "/timeseries2statistic" return await tools.get_database_response(url, param) async def timeseries2variable( self, variable_name: str, timeseries_selector: typing.Optional[str] = None, object_location: enums.ObjectStorage = enums.ObjectStorage.ALL, result_count: int = 100, ) -> dict: """Get a list of timeseries which are related to the specified variable :param variable_name: The code of the variable [required] :param timeseries_selector: A filter for the returned timeseries [optional, wildcards allowed] :param object_location: The storage location in which the search shall be executed [ optional, defaults to ``enums.ObjectStorage.ALL``] :param result_count: The number of results that shall be returned :return: A parsed response containing the list of timeseries, if any were found """ if variable_name is None: raise ValueError("The variable_name is a required parameter") if not (1 <= len(variable_name.strip()) <= 15): raise ValueError("The length of the variable name may not exceed 15 characters") if timeseries_selector and not (1 <= len(timeseries_selector.strip()) <= 15): raise ValueError( "If a timeseries_selector is supplied its length may not exceed " "15 characters" ) # Build the query parameters _query_parameter = self._base_parameter | { "name": variable_name, "selection": "" if timeseries_selector is None else timeseries_selector, "area": object_location.value, "pagelength": result_count, } _url = self._service_url + "/timeseries2variable" return await tools.get_database_response(_url, _query_parameter) async def values( self, value_filter: str, object_location: enums.ObjectStorage = enums.ObjectStorage.ALL, search_by: enums.GenericCriteria = enums.GenericCriteria.CODE, sort_by: enums.GenericCriteria = enums.GenericCriteria.CODE, result_count: int = 100, ) -> dict: """Get a list of values specified by the filter :param value_filter: The filter for the value identifications [optional, wildcards allowed] :param object_location: The storage location which shall be used during the search [ optional, defaults to ``GenericCriteria.CODE``] :param search_by: The criteria which is used in combination to the value_filter [ optional, defaults to ``GenericCriteria.CODE``] :param sort_by: The criteria by which the results are sorted [optional, defaults to ``GenericCriteria.CODE``] :param result_count: The number of results returned :return: A parsed response containing the list of values """ # Check the received variables if value_filter is None: raise ValueError("The value_filter is a required parameter") if not 1 <= len(value_filter.strip()) <= 15: raise ValueError( "The length of the value_filter needs to be at least 1 character " "and may not exceed 15 characters" ) if not 1 <= result_count <= 2500: raise ValueError( "The number of results returned needs to be greater than 1, " "but may not exceed 2500" ) # Build the query parameters params = self._base_parameter | { "selection": value_filter, "area": object_location.value, "searchcriterion": search_by.value, "sortcriterion": sort_by.value, "pagelength": result_count, } _url = self._service_url + "/values" return await tools.get_database_response(_url, params) async def values2variable( self, variable_name: str, value_filter: typing.Optional[str] = None, object_location: enums.ObjectStorage = enums.ObjectStorage.ALL, search_by: enums.GenericCriteria = enums.GenericCriteria.CODE, sort_by: enums.GenericCriteria = enums.GenericCriteria.CODE, result_count: int = 100, ) -> dict: """Get a list of characteristic values for the supplied variable :param variable_name: The code of the variable :param value_filter: A filter for the returned values [optional, wildcards allowed] :param object_location: The storage location of the variable :param search_by: Criteria which is applied to the ``value_filter`` :param sort_by: Criteria which is used to sort the results :param result_count: The number of characteristic values which may be returned :return: A parsed response from the server containing the list of characteristic values """ # Check if the variable name is set correctly if not variable_name or len(variable_name.strip()) == 0: raise ValueError("The variable_name is a required parameter and may not be empty") if not (1 <= len(variable_name.strip()) <= 15): raise ValueError( "The length of the variable_name may not exceed 15 characters " "and may not be below 1 character" ) if "*" in variable_name: raise ValueError("The variable_name may not contain any wildcards (*)") # Check the value filter if value_filter and not (1 <= len(value_filter.strip()) <= 15): raise ValueError( "The length of the value_filter may not exceed 15 characters and " "may not be below 1" ) # Check the number of results returned if not 1 <= result_count <= 2500: raise ValueError( "The number of results returned needs to be greater than 1, " "but may not exceed 2500" ) # Create the query parameter _param = self._base_parameter | { "name": variable_name, "selection": value_filter, "area": object_location.value, "searchcriterion": search_by.value, "sortcriterion": sort_by.value, "pagelength": result_count, } # Build the url for the call _url = self._service_url + "/values2variable" # Make the call and await the response return await tools.get_database_response(_url, _param) async def variables( self, variable_filter: str, object_location: enums.ObjectStorage = enums.ObjectStorage.ALL, search_by: enums.GenericCriteria = enums.GenericCriteria.CODE, sort_by: enums.GenericCriteria = enums.GenericCriteria.CODE, variable_type: enums.VariableType = enums.VariableType.ALL, result_count: int = 100, ) -> dict: """Get a list of variables matching the filter and object location :param variable_filter: Identification Code of the variable [required, wildcards allowed] :param object_location: The storage location of the object [optional] :param search_by: Criteria which is applied to the variable filter [optional] :param sort_by: Criteria by which the result is sorted [optional] :param variable_type: The type of variable [optional] :param result_count: The number of results that may be returned [optional] :return: A parsed response from the server containing the variables """ # Check if the filter is supplied correctly if not variable_filter or len(variable_filter.strip()) == 0: raise ValueError("The variable_filter is a required parameter any may not be empty") if not (1 <= len(variable_filter.strip()) <= 6): raise ValueError("The variable_filter may only contain up to 6 characters") # Check if the result count is set properly if not (1 <= result_count <= 2500): raise ValueError("The number of possible results needs to be between 1 and 2500") # Build the query parameters _param = self._base_parameter | { "selection": variable_filter, "area": object_location.value, "searchcriterion": search_by.value, "sortcriterion": sort_by.value, "type": variable_type.value, "pagelength": result_count, } # Build the url _url = self._service_url + "/variables" # Return the parsed result return await tools.get_database_response(_url, _param) async def variables2statistic( self, statistic_name: str, variable_filter: typing.Optional[str] = None, object_location: enums.ObjectStorage = enums.ObjectStorage.ALL, search_by: enums.GenericCriteria = enums.GenericCriteria.CODE, sort_by: enums.GenericCriteria = enums.GenericCriteria.CODE, variable_type: enums.VariableType = enums.VariableType.ALL, result_count: int = 100, ) -> dict: """Get a list of variables related to the supplied statistic :param statistic_name: The identification of the statistic [required] :param variable_filter: Filter for the returned variables [optional, wildcards allowed] :param object_location: Storage location which is used for the search [optional] :param search_by: Criteria which is applied to the variable_filter [optional] :param sort_by: Criteria specifying how the results are to be sorted [optional] :param variable_type: The type of variables that shall be returned [optional] :param result_count: Max. amount of results returned by the server [optional] :return: A parsed response containing a list of variables """ # Check if the statistic_name is set correctly if not statistic_name or len(statistic_name.strip()) == 0: raise ValueError("The statistic_name is a required parameter") if not (1 <= len(statistic_name.strip()) <= 15): raise ValueError("The length of statistic_name may not exceed 15 characters") if "*" in statistic_name: raise ValueError("The statistic_name may not contain wildcards (*)") # Check if the variable_filter is set correctly if set if variable_filter and not (1 <= len(variable_filter.strip()) <= 6): raise ValueError( "The variable_filter may not exceed the length of 6 characters, " "if it is supplied" ) # Build the query parameters _param = self._base_parameter | { "name": statistic_name, "selection": variable_filter, "area": object_location.value, "searchcriterion": search_by.value, "sortcriterion": sort_by.value, "type": variable_type.value, "pagelength": result_count, } # Build the query path _path = self._service_url + "/variables2statistic" return await tools.get_database_response(_path, _param)

48.53187

98

0.636279

5,545

46,445

5.199279

0.054644

0.049428

0.048699

0.019979

0.789213

0.754873

0.725945

0.693548

0.654527

0.604579

0

0.010737

0.294111

46,445

956

99

48.582636

0.868629

0.040844

0

0.603774

0

0.240723

0.01111

0

1

0.001715

false

0.018868

0.005146

0

0.042882

0

null

0

1

0

1

0

null

0

3

89e28e497194558b332c7d2514764dab8aee4b55

813

py

Python

src/openweather/OpenWeatherParser.py

ralfe/wpi

ee077fb9fd1b2e8759e6195b3c36f24848eea6f5

[ "MIT" ]

null

src/openweather/OpenWeatherParser.py

ralfe/wpi

ee077fb9fd1b2e8759e6195b3c36f24848eea6f5

[ "MIT" ]

null

src/openweather/OpenWeatherParser.py

ralfe/wpi

ee077fb9fd1b2e8759e6195b3c36f24848eea6f5

[ "MIT" ]

null

__author__ = 'renderle' class OpenWeatherParser: def __init__(self, data): self.data = data def getValueFor(self, idx): return self.data['list'][idx] def getTemperature(self): earlymorningValue = self.getValueFor(0)['main']['temp_max'] morningValue = self.getValueFor(1)['main']['temp_max'] mixedTemp = (earlymorningValue + 2*morningValue)/3 return mixedTemp; def getCloudFactor(self): earlymorningValue = self.getValueFor(0)['clouds']['all'] morningValue = self.getValueFor(1)['clouds']['all'] mixedCloudFactor = (earlymorningValue + 3*morningValue)/4 return mixedCloudFactor def getOverallWeatherCondition(self): morningValue = self.getValueFor(1)['weather'][0]['id'] return morningValue

30.111111

67

0.654367

78

813

6.692308

0.397436

0.143678

0.155172

0.16092

0.141762

0

0.015699

0.216482

813

26

68

31.269231

0.803768

0

0.077586

0

1

0.263158

false

0

0.052632

0.526316

0

null

0

1

0

null

0

1

0

1

0

3

d612e925c123019a0812dc8cafaa3b8e961aa72d

863

py

Python

venv/lib/python3.6/site-packages/taggit_templatetags2/views.py

corwin-cole/lunas-picture-box

af0870bea27b01abdd64260bc4e0d40423580fb2

[ "MIT" ]

38

2015-01-06T16:38:47.000Z

2022-03-28T12:55:25.000Z

venv/lib/python3.6/site-packages/taggit_templatetags2/views.py

corwin-cole/lunas-picture-box

af0870bea27b01abdd64260bc4e0d40423580fb2

[ "MIT" ]

12

2020-06-06T01:22:26.000Z

2022-03-12T00:13:42.000Z

venv/lib/python3.6/site-packages/taggit_templatetags2/views.py

corwin-cole/lunas-picture-box

af0870bea27b01abdd64260bc4e0d40423580fb2

[ "MIT" ]

16

2015-02-21T22:31:41.000Z

2022-03-28T12:55:28.000Z

from django.conf import settings from django.utils.translation import ugettext_lazy as _ from django.views.generic import ListView from .settings import TAGGED_ITEM_MODEL, TAG_MODEL class TagCanvasListView(ListView): template_name = 'taggit_templatetags2/tagcanvas_list.html' model = TAGGED_ITEM_MODEL def get_tag_id(self): return int(self.kwargs['tag_id']) def get_tag_object(self): return TAG_MODEL.objects.get(id=self.get_tag_id()) def get_queryset(self): """ Returns only the objects assigned to single tag. """ return self.model._default_manager.filter( tag_id=self.get_tag_id()) def get_context_data(self, **kwargs): context = super(TagCanvasListView, self).get_context_data(**kwargs) context['tag'] = self.get_tag_object() return context

26.96875

75

0.699884

113

863

5.079646

0.424779

0.052265

0.041812

0.057491

0.069686

0

0.001464

0.208575

863

31

76

27.83871

0.838946

0.05562

0

0.062025

0.050633

0

1

0.222222

false

0

0.222222

0.111111

0.833333

0

null

0

null

0

1

0

1

0

3

d65aaf4c15566afc36462d10778530ebc31a672f

1,544

py

Python

alipay/aop/api/response/AlipayOpenAppQrcodeCreateResponse.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

alipay/aop/api/response/AlipayOpenAppQrcodeCreateResponse.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

alipay/aop/api/response/AlipayOpenAppQrcodeCreateResponse.py

antopen/alipay-sdk-python-all

8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.response.AlipayResponse import AlipayResponse class AlipayOpenAppQrcodeCreateResponse(AlipayResponse): def __init__(self): super(AlipayOpenAppQrcodeCreateResponse, self).__init__() self._qr_code_url = None self._qr_code_url_circle_blue = None self._qr_code_url_circle_white = None @property def qr_code_url(self): return self._qr_code_url @qr_code_url.setter def qr_code_url(self, value): self._qr_code_url = value @property def qr_code_url_circle_blue(self): return self._qr_code_url_circle_blue @qr_code_url_circle_blue.setter def qr_code_url_circle_blue(self, value): self._qr_code_url_circle_blue = value @property def qr_code_url_circle_white(self): return self._qr_code_url_circle_white @qr_code_url_circle_white.setter def qr_code_url_circle_white(self, value): self._qr_code_url_circle_white = value def parse_response_content(self, response_content): response = super(AlipayOpenAppQrcodeCreateResponse, self).parse_response_content(response_content) if 'qr_code_url' in response: self.qr_code_url = response['qr_code_url'] if 'qr_code_url_circle_blue' in response: self.qr_code_url_circle_blue = response['qr_code_url_circle_blue'] if 'qr_code_url_circle_white' in response: self.qr_code_url_circle_white = response['qr_code_url_circle_white']

33.565217

106

0.729275

214

1,544

4.733645

0.168224

0.159921

0.239882

0.266535

0.616979

0.444225

0.284304

0

0.000807

0.197539

1,544

45

107

34.311111

0.816788

0.027202

0

0.088235

0

0.077333

0.062667

0

1

0.235294

false

0

0.058824

0.088235

0.411765

0

null

0

1

0

null

0

1

0

3

c3dafcd023eb4196e2c03de73e78ae172fc56c0a

105

py

Python

fastapi version/src/fastapp/__init__.py

abhiWriteCode/TextSummarization

e2ed2dddc6afaa5a5106cfda19a3bd8d520f63a4

[ "MIT" ]

null

fastapi version/src/fastapp/__init__.py

abhiWriteCode/TextSummarization

e2ed2dddc6afaa5a5106cfda19a3bd8d520f63a4

[ "MIT" ]

null

fastapi version/src/fastapp/__init__.py

abhiWriteCode/TextSummarization

e2ed2dddc6afaa5a5106cfda19a3bd8d520f63a4

[ "MIT" ]

null

from fastapi import FastAPI from . import api app = FastAPI(debug=True) app.include_router(api.router)

15

30

0.780952

16

105

5.0625

0.5625

0

0.133333

105

7

30

15

0.89011

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

7f02e9703a47b60d920bf5b4d7b9b607bc976036

96

py

Python

struct2seq/__init__.py

amorehead/neurips19-graph-protein-design

92ecd0b667069c3207afa668865eb23eea4631d4

[ "MIT" ]

null

struct2seq/__init__.py

amorehead/neurips19-graph-protein-design

92ecd0b667069c3207afa668865eb23eea4631d4

[ "MIT" ]

null

struct2seq/__init__.py

amorehead/neurips19-graph-protein-design

92ecd0b667069c3207afa668865eb23eea4631d4

[ "MIT" ]

null

__all__ = ['data', 'noam_opt', 'protein_features', 'self_attention', 'struct2seq', 'seq_model']

48

95

0.708333

11

96

5.454545

1

0

0.011364

0.083333

96

1

96

0.670455

0

0.635417

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

7f1013721896a66800cbfdbbd69ac5bfb01f2332

47

py

Python

pytype/__version__.py

jjedele/pytype

3c5d920d26ac583bdfd68080e7db454ecb1dc900

[ "Apache-2.0" ]

null

pytype/__version__.py

jjedele/pytype

3c5d920d26ac583bdfd68080e7db454ecb1dc900

[ "Apache-2.0" ]

null

pytype/__version__.py

jjedele/pytype

3c5d920d26ac583bdfd68080e7db454ecb1dc900

[ "Apache-2.0" ]

null

# pylint: skip-file __version__ = '2018.12.21'

15.666667

26

0.702128

7

47

4.142857

1

0

0.195122

0.12766

47

2

27

23.5

0.512195

0.361702

0

0.357143

0

1

0

false

0

1

0

null

0

1

0

null

0

3

7f102b5952e499b7df63927d1e17dfc99e397355

291

py

Python

keybindings/autokey/data/Mac/refresh.py

guoyiteng/linux-for-macos-user

705baec9ddffb9ab73172cdc2b272ab123b1e402

[ "MIT" ]

1

2019-10-24T19:52:23.000Z

keybindings/autokey/data/Mac/refresh.py

guoyiteng/linux-for-macos-user

705baec9ddffb9ab73172cdc2b272ab123b1e402

[ "MIT" ]

null

keybindings/autokey/data/Mac/refresh.py

guoyiteng/linux-for-macos-user

705baec9ddffb9ab73172cdc2b272ab123b1e402

[ "MIT" ]

null

store.set_global_value('hotkey', '<meta>+r') if re.match('.*(Hyper)', window.get_active_class()): logging.debug('terminal refresh buffer') engine.set_return_value('<ctrl>+<shift>+r') else: logging.debug('normal') engine.set_return_value('<ctrl>+r') engine.run_script('combo')

36.375

52

0.697595

41

291

4.731707

0.707317

0.123711

0.154639

0.206186

0.247423

0

0.09622

291

8

53

36.375

0.737643

0

0.277397

0

1

0

true

0

null

0

1

0

1

0

null

0

1

0

3

7f191b51e43f5f96fe4666dba8c6b32532e8c659

581

py

Python

neighbour/forms.py

Nobella-Nyarari-Ejiofor/Neighbourood

cacd9d64c944fa195a4bcb554425c9d0210b87b8

[ "PostgreSQL", "Unlicense" ]

null

neighbour/forms.py

Nobella-Nyarari-Ejiofor/Neighbourood

cacd9d64c944fa195a4bcb554425c9d0210b87b8

[ "PostgreSQL", "Unlicense" ]

null

neighbour/forms.py

Nobella-Nyarari-Ejiofor/Neighbourood

cacd9d64c944fa195a4bcb554425c9d0210b87b8

[ "PostgreSQL", "Unlicense" ]

null

from django.contrib.auth.models import User from django import forms import neighbour from .models import Business, Profile , Neighbourhood , Posts class ProfileForm(forms.ModelForm): class Meta: model = Profile exclude = ['user'] class NeighbourhoodForm(forms.ModelForm): class Meta: model = Neighbourhood exclude = ['occupants_count'] class PostForm(forms.ModelForm): class Meta: model = Posts exclude= ['profile','neighbourhood'] class BusinessForm(forms.ModelForm): class Meta: model = Business exclude =['profile', 'neighbourhood']

23.24

61

0.726334

63

581

6.68254

0.380952

0.133017

0.180523

0.218527

0.266033

0

0.175559

581

25

62

23.24

0.878914

0

0.3

0

0.101375

0

1

0

false

0

0.2

0

0.6

0

null

0

1

0

null

0

1

0

3

6156a185a0ec9e2713a8896fbea860c9a2788539

2,069

py

Python

test/teos/unit/test_extended_appointment.py

ritikramuka/python-teos

daa9d8dc89d5ddc3f29f2b7b2dda05bf0c79c82d

[ "MIT" ]

86

2020-03-20T23:58:40.000Z

2022-02-27T11:25:11.000Z

test/teos/unit/test_extended_appointment.py

sr-gi/python-teos

f8f214125a2f7c82fed278dc21ee5d517e7de72a

[ "MIT" ]

160

2020-03-23T16:31:51.000Z

2022-03-05T13:22:21.000Z

test/teos/unit/test_extended_appointment.py

sr-gi/python-teos

f8f214125a2f7c82fed278dc21ee5d517e7de72a

[ "MIT" ]

17

2020-03-21T10:28:37.000Z

2022-02-23T12:22:00.000Z

import pytest from teos.extended_appointment import ExtendedAppointment @pytest.fixture def ext_appointment_data(generate_dummy_appointment): return generate_dummy_appointment().to_dict() # Parent methods are not tested. def test_init_ext_appointment(ext_appointment_data): # The appointment has no checks whatsoever, since the inspector is the one taking care or that, and the only one # creating appointments. ext_appointment = ExtendedAppointment( ext_appointment_data["locator"], ext_appointment_data["encrypted_blob"], ext_appointment_data["to_self_delay"], ext_appointment_data["user_id"], ext_appointment_data["user_signature"], ext_appointment_data["start_block"], ) assert ( ext_appointment_data["locator"] == ext_appointment.locator and ext_appointment_data["to_self_delay"] == ext_appointment.to_self_delay and ext_appointment_data["encrypted_blob"] == ext_appointment.encrypted_blob and ext_appointment_data["user_id"] == ext_appointment.user_id and ext_appointment_data["user_signature"] == ext_appointment.user_signature and ext_appointment_data["start_block"] == ext_appointment.start_block ) def test_get_summary(ext_appointment_data): assert ExtendedAppointment.from_dict(ext_appointment_data).get_summary() == { "locator": ext_appointment_data["locator"], "user_id": ext_appointment_data["user_id"], } def test_from_dict(ext_appointment_data): # The appointment should be build if we don't miss any field ext_appointment = ExtendedAppointment.from_dict(ext_appointment_data) assert isinstance(ext_appointment, ExtendedAppointment) # Otherwise it should fail for key in ext_appointment_data.keys(): prev_val = ext_appointment_data[key] ext_appointment_data[key] = None with pytest.raises(ValueError, match="Wrong appointment data"): ExtendedAppointment.from_dict(ext_appointment_data) ext_appointment_data[key] = prev_val

36.946429

116

0.744804

253

2,069

5.703557

0.312253

0.33957

0.31185

0.07623

0.449757

0.365211

0.2079

0.059598

0

0.17593

2,069

55

117

37.618182

0.846334

0.119865

0

1

0

0.100275

0

0.083333

1

0.111111

false

0

0.055556

0.027778

0.194444

0

null

1

0

1

0

null

0

3

61ba3d50811169b0b9f01a141d232b991d2868ad

457

py

Python

arranging.py

mallimuondu/Algorithims

9e2ff15ab87c56a38aba18d0e31999e12c9a317e

[ "MIT" ]

null

arranging.py

mallimuondu/Algorithims

9e2ff15ab87c56a38aba18d0e31999e12c9a317e

[ "MIT" ]

null

arranging.py

mallimuondu/Algorithims

9e2ff15ab87c56a38aba18d0e31999e12c9a317e

[ "MIT" ]

null

input1 = int(input("Enter the first number: ")) input2 = int(input("Enter the second number: ")) input3 = int(input("Enter the third number: ")) input4 = int(input("Enter the fourth number: ")) input5 = int(input("Enter the fifth number: ")) tuple_num = [] tuple_num.append(input1) tuple_num.append(input2) tuple_num.append(input3) tuple_num.append(input4) tuple_num.append(input5) print(tuple_num) tuple_num.sort() for a in tuple_num: print(a * a)

30.466667

49

0.722101

71

457

4.521127

0.323944

0.224299

0.202492

0.249221

0

0.025189

0.131291

457

15

50

30.466667

0.783375

0

0.277293

0

1

0

false

0

0.133333

0

null

1

0

null

0

3

f60c351db3d540f17c4848153f58c4bf3898b80c

241

py

Python

infrastructure-dashboard/nccid-redirect/lambda/lambda-handler.py

uk-gov-mirror/NHSX.covid-chest-imaging-database

77799a97193d09e9267182d18fbb79d604bbb038

[ "MIT" ]

56

2020-04-08T12:40:28.000Z

2021-10-02T22:57:16.000Z

infrastructure-dashboard/nccid-redirect/lambda/lambda-handler.py

uk-gov-mirror/NHSX.covid-chest-imaging-database

77799a97193d09e9267182d18fbb79d604bbb038

[ "MIT" ]

111

2020-04-02T13:23:06.000Z

2022-03-30T13:23:28.000Z

infrastructure-dashboard/nccid-redirect/lambda/lambda-handler.py

uk-gov-mirror/NHSX.covid-chest-imaging-database

77799a97193d09e9267182d18fbb79d604bbb038

[ "MIT" ]

10

2020-05-05T14:07:11.000Z

2022-01-11T15:47:27.000Z

def handler(event, context): return { "statusCode": 302, "headers": { "Location": "https://www.nhsx.nhs.uk/covid-19-response/data-and-covid-19/national-covid-19-chest-imaging-database-nccid/" }, }

30.125

133

0.589212

28

241

5.071429

0.857143

0.147887

0

0.048913

0.236515

241

7

134

34.428571

0.722826

0

0.142857

0.547718

0

1

0.142857

false

0

0.142857

0.285714

0

1

0

null

0

1

0

null

0

1

0

3

f620b14338e61be682d35b0543506d9c7f9a1c6d

905

py

Python

manim/utils/unit.py

PhotonSpheres/manim

7399c24b33095e29633fd75460d13eae5703cba9

[ "MIT" ]

9,497

2020-05-19T04:05:51.000Z

2022-03-31T19:00:02.000Z

manim/utils/unit.py

PhotonSpheres/manim

7399c24b33095e29633fd75460d13eae5703cba9

[ "MIT" ]

2,052

2020-05-19T03:35:26.000Z

2022-03-31T16:18:06.000Z

manim/utils/unit.py

PhotonSpheres/manim

7399c24b33095e29633fd75460d13eae5703cba9

[ "MIT" ]

1,016

2020-05-20T01:16:11.000Z

2022-03-30T16:47:14.000Z

"""Implement the Unit class.""" import numpy as np from .. import config, constants __all__ = ["Pixels", "Degrees", "Munits", "Percent"] class _PixelUnits: def __mul__(self, val): return val * config.frame_width / config.pixel_width def __rmul__(self, val): return val * config.frame_width / config.pixel_width class Percent: def __init__(self, axis): if np.array_equal(axis, constants.X_AXIS): self.length = config.frame_width if np.array_equal(axis, constants.Y_AXIS): self.length = config.frame_height if np.array_equal(axis, constants.Z_AXIS): raise NotImplementedError("length of Z axis is undefined") def __mul__(self, val): return val / 100 * self.length def __rmul__(self, val): return val / 100 * self.length Pixels = _PixelUnits() Degrees = constants.PI / 180 Munits = 1

24.459459

70

0.653039

117

905

4.726496

0.384615

0.050633

0.094033

0.115732

0.562387

0.471971

0.278481

0.173599

0

0.014577

0.241989

905

36

71

25.138889

0.791545

0.027624

0

0.347826

0

0.062929

0

1

0.217391

false

0

0.086957

0.173913

0.565217

0

null

0

null

0

1

0

1

0

3

f64a19aff3d9a4d44aac824d38c6aaef4eeb9f77

99

py

Python

lesson-08/test_m.py

rafaelmartinsbuck/ai-for-trading

51234e408c94ccdeee9b06301a2f63bd170243e3

[ "MIT" ]

1

2020-05-15T09:41:14.000Z

lesson-08/test_m.py

rafaelmartinsbuck/ai-for-trading

51234e408c94ccdeee9b06301a2f63bd170243e3

[ "MIT" ]

null

lesson-08/test_m.py

rafaelmartinsbuck/ai-for-trading

51234e408c94ccdeee9b06301a2f63bd170243e3

[ "MIT" ]

null

import pandas as pd import numpy as np df = pd.DataFrame({"A":[1,2,3,4], "B":[5,6,7,8]}) print(df)

19.8

49

0.616162

23

99

2.652174

0.826087

0

0.093023

0.131313

99

5

50

19.8

0.616279

0

0.02

0

1

0

false

0

0.5

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

3

f6686b5276ad867dc68aa933b114b3472854d95c

99

py

Python

change_funname.py

poojadhoble32/python-projects

4c094dd0072d4213344e26476e4e99a4a12246e7

[ "bzip2-1.0.6" ]

null

change_funname.py

poojadhoble32/python-projects

4c094dd0072d4213344e26476e4e99a4a12246e7

[ "bzip2-1.0.6" ]

null

change_funname.py

poojadhoble32/python-projects

4c094dd0072d4213344e26476e4e99a4a12246e7

[ "bzip2-1.0.6" ]

null

def old(name,age): print(f"my name is {name} and age is {age}") old as new new("pooja",23)

19.8

49

0.606061

20

99

3

0.65

0

0.025974

0.222222

99

4

50

24.75

0.753247

0

0.410526

0

null

0

null

0.25

1

0

null

0

1

0

null

0

1

0

3

9c8515789c228e61ad777a8d32e3b11f40b6960c

808

py

Python

integration-test/630-bus-routes-z12.py

slachiewicz/vector-datasource

fb37603ba264be05839992f40eba1b5ae8a9c290

[ "MIT" ]

null

integration-test/630-bus-routes-z12.py

slachiewicz/vector-datasource

fb37603ba264be05839992f40eba1b5ae8a9c290

[ "MIT" ]

2

2021-03-26T00:41:17.000Z

2021-12-13T20:49:38.000Z

integration-test/630-bus-routes-z12.py

slachiewicz/vector-datasource

fb37603ba264be05839992f40eba1b5ae8a9c290

[ "MIT" ]

null

# block between mission & 6th and howard & 5th in SF. # appears to have lots of buses. # https://www.openstreetmap.org/way/88572932 -- Mission St # https://www.openstreetmap.org/relation/3406710 -- 14X to Daly City # https://www.openstreetmap.org/relation/3406709 -- 14X to Downtown # https://www.openstreetmap.org/relation/3406708 -- 14R to Mission # https://www.openstreetmap.org/relation/3000713 -- 14R to Downtown # ... and many more bus route relations z, x, y = (16, 10484, 25329) # test that at least one is present in tiles up to z12 while z >= 12: assert_has_feature( z, x, y, 'roads', { 'is_bus_route': True }) z, x, y = (z-1, x/2, y/2) # but that none are present in the parent tile at z11 assert_no_matching_feature( z, x, y, 'roads', { 'is_bus_route': True })

35.130435

68

0.67698

130

808

4.138462

0.546154

0.074349

0.195167

0.223048

0.345725

0.107807

0

0.10229

0.189356

808

22

69

36.727273

0.719084

0.675743

0

0.444444

0

0.135458

0

0.222222

1

0

true

0

null

0

1

0

null

0

1

0

3

9cb339f88a19712fdd5c854216d9d0e7bc780ed9

22

py

Python

networking_infoblox/neutron/cmd/eventlet/__init__.py

rav28/networking-infoblox

fce27ca1c2bafb9b0a90aa22388bbc2dbec68294

[ "Apache-2.0" ]

null

networking_infoblox/neutron/cmd/eventlet/__init__.py

rav28/networking-infoblox

fce27ca1c2bafb9b0a90aa22388bbc2dbec68294

[ "Apache-2.0" ]

1

2021-11-20T19:39:58.000Z

networking_infoblox/neutron/cmd/eventlet/__init__.py

rav28/networking-infoblox

fce27ca1c2bafb9b0a90aa22388bbc2dbec68294

[ "Apache-2.0" ]

1

2021-11-20T19:37:55.000Z

__author__ = 'hhwang'

11

21

0.727273

2

22

6

1

0

0.136364

22

1

22

0.631579

0

0.272727

0

1

0

false

0

1

0

null

0

1

0

null

0

3

9cb3f5cf51b8b20433b3b320d11d55ba5d9140d5

243

py

Python

debauto/utils.py

flaviomilan/python-debauto-br

c776c9094b0fc380797360231d9d1574813b2852

[ "MIT" ]

5

2019-05-02T01:05:28.000Z

2021-12-30T05:30:02.000Z

debauto/utils.py

flaviomilan/python-debauto-br

c776c9094b0fc380797360231d9d1574813b2852

[ "MIT" ]

null

debauto/utils.py

flaviomilan/python-debauto-br

c776c9094b0fc380797360231d9d1574813b2852

[ "MIT" ]

2

2021-01-01T22:28:32.000Z

2021-01-01T22:33:04.000Z

# -*- encoding: utf-8 -*- import datetime def formata_data(data): data = datetime.datetime.strptime(data, '%d/%m/%Y').date() return data.strftime("%Y%m%d") def formata_valor(valor): return str("%.2f" % valor).replace(".", "")

18.692308

62

0.613169

33

243

4.454545

0.575758

0.136054

0

0.009804

0.160494

243

12

63

20.25

0.710784

0.09465

0

0.087156

0

1

0.333333

false

0

0.166667

0.833333

0

null

0

null

0

1

0

1

0

3

9ccc9caa284546838f6e690c84b3287d39799b8f

7,645

py

Python

RecoMuon/MuonIsolationProducers/test/isoTest_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

RecoMuon/MuonIsolationProducers/test/isoTest_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

RecoMuon/MuonIsolationProducers/test/isoTest_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

# The following comments couldn't be translated into the new config version: # # keep only muon-related info here # import FWCore.ParameterSet.Config as cms process = cms.Process("MISO") process.load("Configuration.EventContent.EventContent_cff") # service = MessageLogger { # untracked vstring destinations = { "cout" } # untracked vstring debugModules = { "muIsoDepositTk", # "muIsoDepositCalByAssociatorHits", # "muIsoDepositCalByAssociatorTowers", # "muIsoDepositCal" } # untracked vstring categories = { "RecoMuon" , "MuonIsolation" } # # untracked PSet cout = { # untracked string threshold = "DEBUG" # untracked int32 lineLength = 132 # untracked bool noLineBreaks = true # untracked PSet DEBUG = {untracked int32 limit = 0 } # untracked PSet RecoMuon = { untracked int32 limit = 10000000} # untracked PSet MuonIsolation = { untracked int32 limit = 10000000} # } # } process.load("FWCore.MessageLogger.MessageLogger_cfi") #process.load("RecoLocalMuon.Configuration.RecoLocalMuon_cff") #process.load("RecoMuon.Configuration.RecoMuon_cff") process.load("Configuration.StandardSequences.Services_cff") process.load("Configuration.StandardSequences.Geometry_cff") process.load("Configuration.StandardSequences.MagneticField_38T_cff") process.load("Configuration.StandardSequences.FakeConditions_cff") #process.load("Configuration.StandardSequences.RawToDigi_cff") process.load("Configuration.StandardSequences.Reconstruction_cff") #has everything(?) one needs # pick muIsolation sequence for "standard" iso reco for tracker and global muons process.load("RecoMuon.MuonIsolationProducers.muIsolation_cff") process.maxEvents = cms.untracked.PSet( input = cms.untracked.int32(2000) ) process.source = cms.Source("PoolSource", fileNames = cms.untracked.vstring('/store/mc/2007/12/7/RelVal-RelValBJets_Pt_50_120-1197045102/0002/0A21A5F4-02A5-DC11-89F5-000423DD2F34.root') ) process.source = cms.Source ("PoolSource", fileNames = cms.untracked.vstring ( '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/10438122-2A5F-DD11-A77F-000423D985E4.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/12F34420-2A5F-DD11-AB6E-000423D6CA6E.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/244E7C0B-315F-DD11-ACFC-001617E30F58.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/2ADD8A12-315F-DD11-8AB8-000423D6C8E6.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/34A291FB-305F-DD11-833E-001617C3B6CC.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/383E09CA-2C5F-DD11-9A28-000423D6BA18.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/40F0F8A4-2A5F-DD11-BC72-001617C3B64C.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/4AD39C8C-2A5F-DD11-B935-001617C3B710.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/4C0D4911-315F-DD11-A20D-001617DBD332.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/4C32E425-2A5F-DD11-B819-000423D6C8EE.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/50881CBB-2A5F-DD11-92C6-001617C3B6E8.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/52B83F75-2A5F-DD11-AD56-001617C3B6CC.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/544DC99A-2A5F-DD11-9160-001617C3B6E2.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/62F7698D-2A5F-DD11-907A-001617C3B6DC.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/7C8A2791-2A5F-DD11-814D-001617DBCF6A.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/7EDA5005-315F-DD11-8019-001617C3B706.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/8A91E518-2A5F-DD11-B49A-000423D6B42C.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/8CC497AE-2A5F-DD11-AE43-000423DD2F34.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/9A469FA8-2A5F-DD11-9909-001617C3B6FE.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/9A5BE3A4-2A5F-DD11-A61B-001617DF785A.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/9AC2141C-2A5F-DD11-ADF5-000423D6A6F4.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/9CCFA319-2A5F-DD11-B0AA-000423D94700.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/A0F6C41D-2A5F-DD11-8685-000423D6BA18.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/B0159DAC-2A5F-DD11-98A8-001617E30D00.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/B05C32FC-305F-DD11-A957-001617C3B70E.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/C6ADD999-2A5F-DD11-AF9F-0016177CA7A0.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/C8AEE585-2A5F-DD11-BB37-001617C3B77C.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/CC5178C4-2A5F-DD11-BCE6-001617E30F4C.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/CE9FE020-2A5F-DD11-9846-000423D6CA72.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/D24BFA7E-2A5F-DD11-8F79-001617C3B70E.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/D62761FA-305F-DD11-A108-0016177CA778.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/DA0DDFB6-2A5F-DD11-987A-001617DBD5B2.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/E64386FE-305F-DD11-BA68-0019DB29C614.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/E6BC0D37-2A5F-DD11-9ACB-000423D6B444.root', '/store/relval/CMSSW_2_1_0_pre11/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG-RECO/STARTUP_V4_v2/0000/F251D794-2A5F-DD11-BA5D-00161757BF42.root' ), secondaryFileNames = cms.untracked.vstring ( ) ) process.RECO = cms.OutputModule("PoolOutputModule", process.FEVTSIMEventContent, fileName = cms.untracked.string('file:isoTest.root') ) process.p1 = cms.Path(process.muIsolation) process.outpath = cms.EndPath(process.RECO) process.RECO.outputCommands.append('drop *_*_*_*') process.RECO.outputCommands.extend(process.RecoMuonRECO.outputCommands)

71.448598

147

0.780379

1,093

7,645

5.249771

0.220494

0.067097

0.097595

0.103695

0.56152

0.515511

0

0.170106

0.087247

7,645

106

148

72.122642

0.652193

0.145062

0

0.030769

0

0.553846

0.809619

0.799017

0

1

0

false

0

0.015385

0

0.015385

0

null

0

1

null

0

3

9cce74ca65c4a70248a44251c279dedff70a0c3a

220

py

Python

app/egg/__init__.py

MultyXu/Islandr

5f965638d0cda68e76f63b0625b2411029e90c2d

[ "MIT" ]

2

2019-06-05T01:36:53.000Z

2019-06-05T01:37:12.000Z

app/egg/__init__.py

dingding0606/Islandr

dd2277a8a7ceb002af3b28045133797fa9ffed9d

[ "MIT" ]

null

app/egg/__init__.py

dingding0606/Islandr

dd2277a8a7ceb002af3b28045133797fa9ffed9d

[ "MIT" ]

1

2019-08-28T20:49:22.000Z

''' @Description: Easter Egg @Author: Tianyi Lu @Date: 2019-08-10 10:30:29 @LastEditors: Tianyi Lu @LastEditTime: 2019-08-10 10:36:24 ''' from flask import Blueprint egg = Blueprint('egg', __name__) from . import views

18.333333

34

0.722727

34

220

4.558824

0.647059

0.103226

0.129032

0

0.147368

0.136364

220

12

35

18.333333

0.668421

0.586364

0

0.035714

0

1

0

false

0

0.666667

0

0.666667

0

null

0

null

0

1

0

1

0

3

9cd8b09c53d8ecf1b2984937b2ed05ef619c8318

23,127

py

Python

gitea_api/models/timeline_comment.py

r7l/python-gitea-api

31d3dba27ea7e551e2048a1230c4ab4d73365006

[ "MIT" ]

1

2022-02-09T23:43:26.000Z

gitea_api/models/timeline_comment.py

r7l/python-gitea-api

31d3dba27ea7e551e2048a1230c4ab4d73365006

[ "MIT" ]

null

gitea_api/models/timeline_comment.py

r7l/python-gitea-api

31d3dba27ea7e551e2048a1230c4ab4d73365006

[ "MIT" ]

null

# coding: utf-8 """ Gitea API. This documentation describes the Gitea API. # noqa: E501 OpenAPI spec version: 1.16.7 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class TimelineComment(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'assignee': 'User', 'assignee_team': 'Team', 'body': 'str', 'created_at': 'datetime', 'dependent_issue': 'Issue', 'html_url': 'str', 'id': 'int', 'issue_url': 'str', 'label': 'Label', 'milestone': 'Milestone', 'new_ref': 'str', 'new_title': 'str', 'old_milestone': 'Milestone', 'old_project_id': 'int', 'old_ref': 'str', 'old_title': 'str', 'project_id': 'int', 'pull_request_url': 'str', 'ref_action': 'str', 'ref_comment': 'Comment', 'ref_commit_sha': 'str', 'ref_issue': 'Issue', 'removed_assignee': 'bool', 'resolve_doer': 'User', 'review_id': 'int', 'tracked_time': 'TrackedTime', 'type': 'str', 'updated_at': 'datetime', 'user': 'User' } attribute_map = { 'assignee': 'assignee', 'assignee_team': 'assignee_team', 'body': 'body', 'created_at': 'created_at', 'dependent_issue': 'dependent_issue', 'html_url': 'html_url', 'id': 'id', 'issue_url': 'issue_url', 'label': 'label', 'milestone': 'milestone', 'new_ref': 'new_ref', 'new_title': 'new_title', 'old_milestone': 'old_milestone', 'old_project_id': 'old_project_id', 'old_ref': 'old_ref', 'old_title': 'old_title', 'project_id': 'project_id', 'pull_request_url': 'pull_request_url', 'ref_action': 'ref_action', 'ref_comment': 'ref_comment', 'ref_commit_sha': 'ref_commit_sha', 'ref_issue': 'ref_issue', 'removed_assignee': 'removed_assignee', 'resolve_doer': 'resolve_doer', 'review_id': 'review_id', 'tracked_time': 'tracked_time', 'type': 'type', 'updated_at': 'updated_at', 'user': 'user' } def __init__(self, assignee=None, assignee_team=None, body=None, created_at=None, dependent_issue=None, html_url=None, id=None, issue_url=None, label=None, milestone=None, new_ref=None, new_title=None, old_milestone=None, old_project_id=None, old_ref=None, old_title=None, project_id=None, pull_request_url=None, ref_action=None, ref_comment=None, ref_commit_sha=None, ref_issue=None, removed_assignee=None, resolve_doer=None, review_id=None, tracked_time=None, type=None, updated_at=None, user=None): # noqa: E501 """TimelineComment - a model defined in Swagger""" # noqa: E501 self._assignee = None self._assignee_team = None self._body = None self._created_at = None self._dependent_issue = None self._html_url = None self._id = None self._issue_url = None self._label = None self._milestone = None self._new_ref = None self._new_title = None self._old_milestone = None self._old_project_id = None self._old_ref = None self._old_title = None self._project_id = None self._pull_request_url = None self._ref_action = None self._ref_comment = None self._ref_commit_sha = None self._ref_issue = None self._removed_assignee = None self._resolve_doer = None self._review_id = None self._tracked_time = None self._type = None self._updated_at = None self._user = None self.discriminator = None if assignee is not None: self.assignee = assignee if assignee_team is not None: self.assignee_team = assignee_team if body is not None: self.body = body if created_at is not None: self.created_at = created_at if dependent_issue is not None: self.dependent_issue = dependent_issue if html_url is not None: self.html_url = html_url if id is not None: self.id = id if issue_url is not None: self.issue_url = issue_url if label is not None: self.label = label if milestone is not None: self.milestone = milestone if new_ref is not None: self.new_ref = new_ref if new_title is not None: self.new_title = new_title if old_milestone is not None: self.old_milestone = old_milestone if old_project_id is not None: self.old_project_id = old_project_id if old_ref is not None: self.old_ref = old_ref if old_title is not None: self.old_title = old_title if project_id is not None: self.project_id = project_id if pull_request_url is not None: self.pull_request_url = pull_request_url if ref_action is not None: self.ref_action = ref_action if ref_comment is not None: self.ref_comment = ref_comment if ref_commit_sha is not None: self.ref_commit_sha = ref_commit_sha if ref_issue is not None: self.ref_issue = ref_issue if removed_assignee is not None: self.removed_assignee = removed_assignee if resolve_doer is not None: self.resolve_doer = resolve_doer if review_id is not None: self.review_id = review_id if tracked_time is not None: self.tracked_time = tracked_time if type is not None: self.type = type if updated_at is not None: self.updated_at = updated_at if user is not None: self.user = user @property def assignee(self): """Gets the assignee of this TimelineComment. # noqa: E501 :return: The assignee of this TimelineComment. # noqa: E501 :rtype: User """ return self._assignee @assignee.setter def assignee(self, assignee): """Sets the assignee of this TimelineComment. :param assignee: The assignee of this TimelineComment. # noqa: E501 :type: User """ self._assignee = assignee @property def assignee_team(self): """Gets the assignee_team of this TimelineComment. # noqa: E501 :return: The assignee_team of this TimelineComment. # noqa: E501 :rtype: Team """ return self._assignee_team @assignee_team.setter def assignee_team(self, assignee_team): """Sets the assignee_team of this TimelineComment. :param assignee_team: The assignee_team of this TimelineComment. # noqa: E501 :type: Team """ self._assignee_team = assignee_team @property def body(self): """Gets the body of this TimelineComment. # noqa: E501 :return: The body of this TimelineComment. # noqa: E501 :rtype: str """ return self._body @body.setter def body(self, body): """Sets the body of this TimelineComment. :param body: The body of this TimelineComment. # noqa: E501 :type: str """ self._body = body @property def created_at(self): """Gets the created_at of this TimelineComment. # noqa: E501 :return: The created_at of this TimelineComment. # noqa: E501 :rtype: datetime """ return self._created_at @created_at.setter def created_at(self, created_at): """Sets the created_at of this TimelineComment. :param created_at: The created_at of this TimelineComment. # noqa: E501 :type: datetime """ self._created_at = created_at @property def dependent_issue(self): """Gets the dependent_issue of this TimelineComment. # noqa: E501 :return: The dependent_issue of this TimelineComment. # noqa: E501 :rtype: Issue """ return self._dependent_issue @dependent_issue.setter def dependent_issue(self, dependent_issue): """Sets the dependent_issue of this TimelineComment. :param dependent_issue: The dependent_issue of this TimelineComment. # noqa: E501 :type: Issue """ self._dependent_issue = dependent_issue @property def html_url(self): """Gets the html_url of this TimelineComment. # noqa: E501 :return: The html_url of this TimelineComment. # noqa: E501 :rtype: str """ return self._html_url @html_url.setter def html_url(self, html_url): """Sets the html_url of this TimelineComment. :param html_url: The html_url of this TimelineComment. # noqa: E501 :type: str """ self._html_url = html_url @property def id(self): """Gets the id of this TimelineComment. # noqa: E501 :return: The id of this TimelineComment. # noqa: E501 :rtype: int """ return self._id @id.setter def id(self, id): """Sets the id of this TimelineComment. :param id: The id of this TimelineComment. # noqa: E501 :type: int """ self._id = id @property def issue_url(self): """Gets the issue_url of this TimelineComment. # noqa: E501 :return: The issue_url of this TimelineComment. # noqa: E501 :rtype: str """ return self._issue_url @issue_url.setter def issue_url(self, issue_url): """Sets the issue_url of this TimelineComment. :param issue_url: The issue_url of this TimelineComment. # noqa: E501 :type: str """ self._issue_url = issue_url @property def label(self): """Gets the label of this TimelineComment. # noqa: E501 :return: The label of this TimelineComment. # noqa: E501 :rtype: Label """ return self._label @label.setter def label(self, label): """Sets the label of this TimelineComment. :param label: The label of this TimelineComment. # noqa: E501 :type: Label """ self._label = label @property def milestone(self): """Gets the milestone of this TimelineComment. # noqa: E501 :return: The milestone of this TimelineComment. # noqa: E501 :rtype: Milestone """ return self._milestone @milestone.setter def milestone(self, milestone): """Sets the milestone of this TimelineComment. :param milestone: The milestone of this TimelineComment. # noqa: E501 :type: Milestone """ self._milestone = milestone @property def new_ref(self): """Gets the new_ref of this TimelineComment. # noqa: E501 :return: The new_ref of this TimelineComment. # noqa: E501 :rtype: str """ return self._new_ref @new_ref.setter def new_ref(self, new_ref): """Sets the new_ref of this TimelineComment. :param new_ref: The new_ref of this TimelineComment. # noqa: E501 :type: str """ self._new_ref = new_ref @property def new_title(self): """Gets the new_title of this TimelineComment. # noqa: E501 :return: The new_title of this TimelineComment. # noqa: E501 :rtype: str """ return self._new_title @new_title.setter def new_title(self, new_title): """Sets the new_title of this TimelineComment. :param new_title: The new_title of this TimelineComment. # noqa: E501 :type: str """ self._new_title = new_title @property def old_milestone(self): """Gets the old_milestone of this TimelineComment. # noqa: E501 :return: The old_milestone of this TimelineComment. # noqa: E501 :rtype: Milestone """ return self._old_milestone @old_milestone.setter def old_milestone(self, old_milestone): """Sets the old_milestone of this TimelineComment. :param old_milestone: The old_milestone of this TimelineComment. # noqa: E501 :type: Milestone """ self._old_milestone = old_milestone @property def old_project_id(self): """Gets the old_project_id of this TimelineComment. # noqa: E501 :return: The old_project_id of this TimelineComment. # noqa: E501 :rtype: int """ return self._old_project_id @old_project_id.setter def old_project_id(self, old_project_id): """Sets the old_project_id of this TimelineComment. :param old_project_id: The old_project_id of this TimelineComment. # noqa: E501 :type: int """ self._old_project_id = old_project_id @property def old_ref(self): """Gets the old_ref of this TimelineComment. # noqa: E501 :return: The old_ref of this TimelineComment. # noqa: E501 :rtype: str """ return self._old_ref @old_ref.setter def old_ref(self, old_ref): """Sets the old_ref of this TimelineComment. :param old_ref: The old_ref of this TimelineComment. # noqa: E501 :type: str """ self._old_ref = old_ref @property def old_title(self): """Gets the old_title of this TimelineComment. # noqa: E501 :return: The old_title of this TimelineComment. # noqa: E501 :rtype: str """ return self._old_title @old_title.setter def old_title(self, old_title): """Sets the old_title of this TimelineComment. :param old_title: The old_title of this TimelineComment. # noqa: E501 :type: str """ self._old_title = old_title @property def project_id(self): """Gets the project_id of this TimelineComment. # noqa: E501 :return: The project_id of this TimelineComment. # noqa: E501 :rtype: int """ return self._project_id @project_id.setter def project_id(self, project_id): """Sets the project_id of this TimelineComment. :param project_id: The project_id of this TimelineComment. # noqa: E501 :type: int """ self._project_id = project_id @property def pull_request_url(self): """Gets the pull_request_url of this TimelineComment. # noqa: E501 :return: The pull_request_url of this TimelineComment. # noqa: E501 :rtype: str """ return self._pull_request_url @pull_request_url.setter def pull_request_url(self, pull_request_url): """Sets the pull_request_url of this TimelineComment. :param pull_request_url: The pull_request_url of this TimelineComment. # noqa: E501 :type: str """ self._pull_request_url = pull_request_url @property def ref_action(self): """Gets the ref_action of this TimelineComment. # noqa: E501 :return: The ref_action of this TimelineComment. # noqa: E501 :rtype: str """ return self._ref_action @ref_action.setter def ref_action(self, ref_action): """Sets the ref_action of this TimelineComment. :param ref_action: The ref_action of this TimelineComment. # noqa: E501 :type: str """ self._ref_action = ref_action @property def ref_comment(self): """Gets the ref_comment of this TimelineComment. # noqa: E501 :return: The ref_comment of this TimelineComment. # noqa: E501 :rtype: Comment """ return self._ref_comment @ref_comment.setter def ref_comment(self, ref_comment): """Sets the ref_comment of this TimelineComment. :param ref_comment: The ref_comment of this TimelineComment. # noqa: E501 :type: Comment """ self._ref_comment = ref_comment @property def ref_commit_sha(self): """Gets the ref_commit_sha of this TimelineComment. # noqa: E501 commit SHA where issue/PR was referenced # noqa: E501 :return: The ref_commit_sha of this TimelineComment. # noqa: E501 :rtype: str """ return self._ref_commit_sha @ref_commit_sha.setter def ref_commit_sha(self, ref_commit_sha): """Sets the ref_commit_sha of this TimelineComment. commit SHA where issue/PR was referenced # noqa: E501 :param ref_commit_sha: The ref_commit_sha of this TimelineComment. # noqa: E501 :type: str """ self._ref_commit_sha = ref_commit_sha @property def ref_issue(self): """Gets the ref_issue of this TimelineComment. # noqa: E501 :return: The ref_issue of this TimelineComment. # noqa: E501 :rtype: Issue """ return self._ref_issue @ref_issue.setter def ref_issue(self, ref_issue): """Sets the ref_issue of this TimelineComment. :param ref_issue: The ref_issue of this TimelineComment. # noqa: E501 :type: Issue """ self._ref_issue = ref_issue @property def removed_assignee(self): """Gets the removed_assignee of this TimelineComment. # noqa: E501 whether the assignees were removed or added # noqa: E501 :return: The removed_assignee of this TimelineComment. # noqa: E501 :rtype: bool """ return self._removed_assignee @removed_assignee.setter def removed_assignee(self, removed_assignee): """Sets the removed_assignee of this TimelineComment. whether the assignees were removed or added # noqa: E501 :param removed_assignee: The removed_assignee of this TimelineComment. # noqa: E501 :type: bool """ self._removed_assignee = removed_assignee @property def resolve_doer(self): """Gets the resolve_doer of this TimelineComment. # noqa: E501 :return: The resolve_doer of this TimelineComment. # noqa: E501 :rtype: User """ return self._resolve_doer @resolve_doer.setter def resolve_doer(self, resolve_doer): """Sets the resolve_doer of this TimelineComment. :param resolve_doer: The resolve_doer of this TimelineComment. # noqa: E501 :type: User """ self._resolve_doer = resolve_doer @property def review_id(self): """Gets the review_id of this TimelineComment. # noqa: E501 :return: The review_id of this TimelineComment. # noqa: E501 :rtype: int """ return self._review_id @review_id.setter def review_id(self, review_id): """Sets the review_id of this TimelineComment. :param review_id: The review_id of this TimelineComment. # noqa: E501 :type: int """ self._review_id = review_id @property def tracked_time(self): """Gets the tracked_time of this TimelineComment. # noqa: E501 :return: The tracked_time of this TimelineComment. # noqa: E501 :rtype: TrackedTime """ return self._tracked_time @tracked_time.setter def tracked_time(self, tracked_time): """Sets the tracked_time of this TimelineComment. :param tracked_time: The tracked_time of this TimelineComment. # noqa: E501 :type: TrackedTime """ self._tracked_time = tracked_time @property def type(self): """Gets the type of this TimelineComment. # noqa: E501 :return: The type of this TimelineComment. # noqa: E501 :rtype: str """ return self._type @type.setter def type(self, type): """Sets the type of this TimelineComment. :param type: The type of this TimelineComment. # noqa: E501 :type: str """ self._type = type @property def updated_at(self): """Gets the updated_at of this TimelineComment. # noqa: E501 :return: The updated_at of this TimelineComment. # noqa: E501 :rtype: datetime """ return self._updated_at @updated_at.setter def updated_at(self, updated_at): """Sets the updated_at of this TimelineComment. :param updated_at: The updated_at of this TimelineComment. # noqa: E501 :type: datetime """ self._updated_at = updated_at @property def user(self): """Gets the user of this TimelineComment. # noqa: E501 :return: The user of this TimelineComment. # noqa: E501 :rtype: User """ return self._user @user.setter def user(self, user): """Sets the user of this TimelineComment. :param user: The user of this TimelineComment. # noqa: E501 :type: User """ self._user = user def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(TimelineComment, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, TimelineComment): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

27.434164

519

0.598564

2,784

23,127

4.747126

0.054598

0.052663

0.184322

0.164573

0.607446

0.456946

0.391419

0.339664

0.200061

0.090042

0

0.018438

0.312881

23,127

842

520

27.466746

0.813228

0.370217

0

0.085635

1

0

0.079499

0

1

0.176796

false

0

0.008287

0

0.290055

0.005525

0

null

0

1

0

1

0

null

0

3

9ced7b3c51ed7b3bb5bdd6b331b57b879e9a8dab

834

py

Python

backend/secure_backend/models.py

CS-twop/Secure-django-reacthook

3d7b3e65c7e1f1e015dcd3ddf2838acdab7cab17

[ "MIT" ]

null

backend/secure_backend/models.py

CS-twop/Secure-django-reacthook

3d7b3e65c7e1f1e015dcd3ddf2838acdab7cab17

[ "MIT" ]

null

backend/secure_backend/models.py

CS-twop/Secure-django-reacthook

3d7b3e65c7e1f1e015dcd3ddf2838acdab7cab17

[ "MIT" ]

null

from django.db import models from django.contrib.auth.models import User class Post(models.Model): user = models.ForeignKey(User, related_name='posts', on_delete=models.CASCADE) content = models.TextField() created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) def __str__(self): return str(self.user) + ' : ' + self.content class Comment(models.Model): post_id = models.ForeignKey(Post, on_delete=models.CASCADE, related_name='comments') user = models.ForeignKey(User, on_delete=models.CASCADE, related_name='comments') content = models.TextField() created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) def __str__(self): return str(self.user) + ' >> ' + self.content

36.26087

88

0.721823

108

834

5.342593

0.324074

0.055459

0.145581

0.17331

0.627383

0.488735

0

0.160671

834

23

89

36.26087

0.824286

0

0.470588

0

0.033533

0

1

0.117647

false

0

0.117647

1

0

null

0

1

0

null

0

1

0

3

14069f69e286ba7e7815086e118f09ac462708fd

823

py

Python

sionna/channel/tr38901/__init__.py

NVlabs/sionna

488e6c3ff6ff2b3313d0ca0f94e4247b8dd6ff35

[ "Apache-2.0" ]

163

2022-03-22T19:47:47.000Z

2022-03-31T23:56:45.000Z

sionna/channel/tr38901/__init__.py

Maryammhsnv/sionna

527d0f7866b379afffad34a6bef7ed3bf6f33ad2

[ "Apache-2.0" ]

2

2022-03-24T12:43:07.000Z

2022-03-29T07:17:16.000Z

sionna/channel/tr38901/__init__.py

Maryammhsnv/sionna

527d0f7866b379afffad34a6bef7ed3bf6f33ad2

[ "Apache-2.0" ]

19

2022-03-23T02:31:22.000Z

2022-03-30T06:35:12.000Z

# # SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # """ Channel sub-package of the Sionna library implementing 3GPP TR39.801 models. """ # pylint: disable=line-too-long from .antenna import AntennaElement, AntennaPanel, PanelArray, Antenna, AntennaArray from .lsp import LSP, LSPGenerator from .rays import Rays, RaysGenerator from .system_level_scenario import SystemLevelScenario from .rma_scenario import RMaScenario from .umi_scenario import UMiScenario from .uma_scenario import UMaScenario from .channel_coefficients import Topology, ChannelCoefficientsGenerator from .system_level_channel import SystemLevelChannel from .rma import RMa from .uma import UMa from .umi import UMi from .tdl import TDL from .cdl import CDL

32.92

103

0.818955

106

823

6.283019

0.575472

0.084084

0.045045

0

0.022039

0.117861

823

24

104

34.291667

0.895317

0.297691

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

143fbec953156df9d4526de475d51f26bf5b991c

54

py

Python

chap4/4-9.py

StewedChickenwithStats/Answers-to-Python-Crash-Course

9ffbe02abba5d111f702d920db7932303daf59d4

[ "MIT" ]

1

2022-02-21T07:05:48.000Z

chap4/4-9.py

StewedChickenwithStats/Answers-to-Python-Crash-Course

9ffbe02abba5d111f702d920db7932303daf59d4

[ "MIT" ]

null

chap4/4-9.py

StewedChickenwithStats/Answers-to-Python-Crash-Course

9ffbe02abba5d111f702d920db7932303daf59d4

[ "MIT" ]

null

cubes=[value**3 for value in range(1,11)] print(cubes)

27

41

0.722222

11

54

3.545455

0.818182

0

0.081633

0.092593

54

2

42

27

0.714286

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

144698a559c916923c258db6ccf04e14398014a5

1,293

py

Python

pupil/profiler.py

nigamapurv/Minkowski_planview

1c887bf0c54b9bdd632b9249cac71b275be8b2c2

[ "MIT" ]

1

2019-12-12T07:16:05.000Z

pupil/profiler.py

nigamapurv/Minkowski_planview

1c887bf0c54b9bdd632b9249cac71b275be8b2c2

[ "MIT" ]

null

pupil/profiler.py

nigamapurv/Minkowski_planview

1c887bf0c54b9bdd632b9249cac71b275be8b2c2

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import cProfile import io import pstats cache = {} PROFILE_SWITCH = True class Profiler: def __init__(self): self.profiler = cProfile.Profile() def profile(self, func, *args, **kwargs): self.profiler.enable() result = func(*args, **kwargs) self.profiler.disable() with io.StringIO() as string_stream: profiler_stats = pstats.Stats(self.profiler, stream = string_stream).sort_stats("cumulative") profiler_stats.print_stats() print(string_stream.getvalue()) return result class PassThroughProfiler: def __init__(self): pass def profile(self, func, *args, **kwargs): return func(*args, **kwargs) def get_profiler(): if "profiler" not in cache: if PROFILE_SWITCH: cache["profiler"] = Profiler() else: cache["profiler"] = PassThroughProfiler() return cache["profiler"] def profile(func, *args, **kwargs): profiler = get_profiler() return profiler.profile(func, *args, **kwargs) def profileable(func): def _profile(*args, **kwargs): return profile(func, *args, **kwargs) return _profile

23.509091

105

0.648879

142

1,293

5.661972

0.302817

0.099502

0.121891

0.078358

0.116915

0.069652

0

0.241299

1,293

55

106

23.509091

0.819572

0

0.102564

0

0.032458

0

1

0.205128

false

0.076923

0.153846

0.051282

0.564103

0.076923

0

null

0

null

0

1

0

1

0

1

0

3

144aea4f0502bed2772fcf751e46d1dcc9492dd4

203

py

Python

Chapter 03/Chap03_Example3.10.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 03/Chap03_Example3.10.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 03/Chap03_Example3.10.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

for num in range(1,6): #code inside for loop if num == 4: continue #code inside for loop print(num) #code outside for loop print("continue statement executed on num = 4")

22.555556

48

0.615764

31

203

4.032258

0.548387

0.168

0.208

0.272

0

0.028169

0.300493

203

8

49

25.375

0.852113

0.300493

0

0.290076

0

1

0

false

0

0.4

0

null

0

1

0

1

0

null

0

3

14590358be50b254390f5fc7eebb4b6ad228a02e

148

py

Python

Week3/Hospitalisations_ClassificationCase/import.py

PenelopeCorsica/AppliedML2021

1b48fe56553d7e4486e2542cf5d26b5aa6f5b473

[ "BSD-3-Clause" ]

13

2021-04-20T13:13:51.000Z

2022-03-28T18:08:07.000Z

Week3/Hospitalisations_ClassificationCase/import.py

PenelopeCorsica/AppliedML2021

1b48fe56553d7e4486e2542cf5d26b5aa6f5b473

[ "BSD-3-Clause" ]

null

Week3/Hospitalisations_ClassificationCase/import.py

PenelopeCorsica/AppliedML2021

1b48fe56553d7e4486e2542cf5d26b5aa6f5b473

[ "BSD-3-Clause" ]

8

2021-04-16T11:03:42.000Z

2021-09-29T02:25:15.000Z

import pandas as pd X_train = pd.read_csv("X_train.csv") df_y = pd.read_csv("y_train.csv") y_train = df_y["y"] X_test = pd.read_csv("X_test.csv")

18.5

36

0.702703

33

148

2.818182

0.333333

0.193548

0.290323

0.215054

0

0.121622

148

7

37

21.142857

0.715385

0

0.222973

0

1

0

false

0

0.2

0

0.2

0

null

0

1

0

1

0

null

0

3

145f50f90a8086649d041c871071f93bec34f696

334

py

Python

app/app.py

raevilman/aws_lambda_python_skeleton

aebd3a4f80bc1149662c8a0b1af5df40d28eff01

[ "MIT" ]

3

2020-10-19T11:31:10.000Z

2021-02-19T12:14:26.000Z

app/app.py

raevilman/aws_lambda_python_skeleton

aebd3a4f80bc1149662c8a0b1af5df40d28eff01

[ "MIT" ]

null

app/app.py

raevilman/aws_lambda_python_skeleton

aebd3a4f80bc1149662c8a0b1af5df40d28eff01

[ "MIT" ]

1

2021-01-21T10:29:10.000Z

import json from app.event import Event from app.responder import send_ok_response from app.utils import get_logger # Setup logging logger = get_logger("app") def run(event: Event): logger.info(event.http_path()) logger.info(event.http_method()) return send_ok_response(json.dumps({ 'message': 'Hello' }))

19.647059

42

0.715569

48

334

4.8125

0.5

0.090909

0.121212

0.164502

0

0.173653

334

16

43

20.875

0.836957

0.038922

0

0.047022

0

1

0.090909

false

0

0.363636

0

0.545455

0

null

0

1

0

null

0

1

0

1

0

3

147a0334d820a059fbd8f4598327b2b7c87e1f19

3,720

py

Python

obywatele/migrations/0020_auto_20201225_1624.py

soma115/wikikracja

7715ca1daa4ca09888e1c7389ed5f8a2df29898b

[ "MIT" ]

7

2016-02-21T17:25:54.000Z

2021-10-09T19:36:10.000Z

obywatele/migrations/0020_auto_20201225_1624.py

soma115/wikikracja

7715ca1daa4ca09888e1c7389ed5f8a2df29898b

[ "MIT" ]

19

2020-02-11T23:55:01.000Z

2022-03-31T18:11:56.000Z

obywatele/migrations/0020_auto_20201225_1624.py

soma115/wikikracja

7715ca1daa4ca09888e1c7389ed5f8a2df29898b

[ "MIT" ]

3

2016-01-20T22:34:58.000Z

2020-09-16T07:45:42.000Z

# Generated by Django 3.1 on 2020-12-25 15:24 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('obywatele', '0019_auto_20201225_1621'), ] operations = [ migrations.AlterField( model_name='uzytkownik', name='business', field=models.CharField(blank=True, help_text='If you are running a business', max_length=200, null=True, verbose_name='Business'), ), migrations.AlterField( model_name='uzytkownik', name='city', field=models.CharField(blank=True, help_text='Where you are spending most of your time', max_length=100, null=True, verbose_name='City'), ), migrations.AlterField( model_name='uzytkownik', name='fb', field=models.CharField(blank=True, help_text='Link to Facebook profile', max_length=500, null=True, verbose_name='Facebook'), ), migrations.AlterField( model_name='uzytkownik', name='for_sale', field=models.CharField(blank=True, help_text='Stuff you have for sale', max_length=500, null=True, verbose_name='For sale'), ), migrations.AlterField( model_name='uzytkownik', name='hobby', field=models.CharField(blank=True, help_text='Hobbies you have', max_length=200, null=True, verbose_name='Hobby'), ), migrations.AlterField( model_name='uzytkownik', name='i_need', field=models.CharField(blank=True, help_text='What do you need', max_length=500, null=True, verbose_name='I need'), ), migrations.AlterField( model_name='uzytkownik', name='job', field=models.CharField(blank=True, help_text='Your profession', max_length=500, null=True, verbose_name='Job'), ), migrations.AlterField( model_name='uzytkownik', name='knowledge', field=models.CharField(blank=True, help_text='Knowledge you have', max_length=500, null=True, verbose_name='Knowledge'), ), migrations.AlterField( model_name='uzytkownik', name='other', field=models.CharField(blank=True, help_text='Other things about worth mentioning', max_length=500, null=True, verbose_name='Other'), ), migrations.AlterField( model_name='uzytkownik', name='responsibilities', field=models.CharField(blank=True, help_text='Tasks performed in our group', max_length=2000, null=True, verbose_name='Responsibilities'), ), migrations.AlterField( model_name='uzytkownik', name='skills', field=models.CharField(blank=True, help_text='What practical skills do you have', max_length=500, null=True, verbose_name='Skills'), ), migrations.AlterField( model_name='uzytkownik', name='to_borrow', field=models.CharField(blank=True, help_text='Stuff you can borrow to others', max_length=500, null=True, verbose_name='To borrow'), ), migrations.AlterField( model_name='uzytkownik', name='to_give_away', field=models.CharField(blank=True, help_text='Things you are willing to give away for free', max_length=2000, null=True, verbose_name='To give away'), ), migrations.AlterField( model_name='uzytkownik', name='want_to_learn', field=models.CharField(blank=True, help_text='Things you would like to learn', max_length=500, null=True, verbose_name='I want to learn'), ), ]

44.285714

162

0.618548

423

3,720

5.283688

0.231678

0.12528

0.1566

0.181655

0.711857

0.710067

0.479195

0.180761

0.115436

0

0.026948

0.261828

3,720

83

163

44.819277

0.786963

0.011559

0

0.545455

1

0

0.21034

0.006259

0

1

0

false

0

0.012987

0

0.051948

0

null

0

1

0

1

0

1

0

null

0

3

147c28455f56f5983cd813f99265bdd8b89586bb

270

py

Python

app/cli/__init__.py

Hacker-1202/Selfium

7e798c23c9f24aacab6f6a485d6355f1045bc65c

[ "MIT" ]

14

2021-11-05T11:27:25.000Z

2022-02-28T02:04:32.000Z

app/cli/__init__.py

CssHammer/Selfium

7e798c23c9f24aacab6f6a485d6355f1045bc65c

[ "MIT" ]

2

2021-05-17T23:55:34.000Z

2021-07-09T17:24:44.000Z

app/cli/__init__.py

CssHammer/Selfium

7e798c23c9f24aacab6f6a485d6355f1045bc65c

[ "MIT" ]

5

2022-01-02T13:33:17.000Z

2022-02-26T13:09:50.000Z

""" Selfium CLI Tools ~~~~~~~~~~~~~~~~~~~ All cli functions used in Selfium project; :copyright: (c) 2021 - Caillou and ZeusHay; :license: MIT, see LICENSE for more details. """ from .logo import * from .clear import * from .welcome import * from .tokenError import *

19.285714

44

0.67037

35

270

5.171429

0.742857

0.165746

0

0.017778

0.166667

270

13

45

20.769231

0.786667

0.625926

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

148e62acadab2abb7a544e4448e8d3e81c73ab98

585

py

Python

pathod/__init__.py

illera88/mitmproxy

4f464001841e5119bf57ef620a3257892ded2ded

[ "MIT" ]

6

2020-11-25T07:33:05.000Z

2022-01-25T07:25:54.000Z

pathod/__init__.py

illera88/mitmproxy

4f464001841e5119bf57ef620a3257892ded2ded

[ "MIT" ]

null

pathod/__init__.py

illera88/mitmproxy

4f464001841e5119bf57ef620a3257892ded2ded

[ "MIT" ]

4

2021-03-14T16:14:27.000Z

2021-09-25T03:01:15.000Z

import os import sys import warnings warnings.warn( "pathod and pathoc modules are deprecated, see https://github.com/mitmproxy/mitmproxy/issues/4273", DeprecationWarning, stacklevel=2 ) def print_tool_deprecation_message(): print("####", file=sys.stderr) print(f"### {os.path.basename(sys.argv[0])} is deprecated and will not be part of future mitmproxy releases!", file=sys.stderr) print("### See https://github.com/mitmproxy/mitmproxy/issues/4273 for more information.", file=sys.stderr) print("####", file=sys.stderr) print("", file=sys.stderr)

30.789474

131

0.707692

79

585

5.202532

0.556962

0.085158

0.158151

0.175182

0.394161

0.3382

0.218978

0

0.01992

0.14188

585

18

132

32.5

0.798805

0

0.142857

0

0.142857

0.48547

0.052991

0

1

0.071429

true

0

0.214286

0

0.285714

0.428571

0

null

0

1

0

null

0

1

0

1

0

3

14938eb4c17ff96d22edd6168c88c690385d934d

2,207

py

Python

tests/test_tc100.py

radoering/flake8-type-checking

02c2af870e8098d0c5bd623591c5b184c0614213

[ "BSD-3-Clause" ]

19

2021-04-21T14:12:24.000Z

2022-03-13T07:42:26.000Z

tests/test_tc100.py

radoering/flake8-type-checking

02c2af870e8098d0c5bd623591c5b184c0614213

[ "BSD-3-Clause" ]

29

2021-04-21T14:31:12.000Z

2022-03-26T08:57:54.000Z

tests/test_tc100.py

sondrelg/flake8-typing-only-imports

d27ffece2cdd5b57a529c8d9f45ba2173c29066f

[ "BSD-3-Clause" ]

2

2021-04-08T08:04:44.000Z

2021-04-14T11:00:18.000Z

""" This file tests the TC100 error: >> Missing 'from __future__ import annotations' import The idea is that we should raise one of these errors if a file contains any type-checking imports and one is missing. One thing to note: futures imports should always be at the top of a file, so we only need to check one line. """ import pytest from flake8_type_checking.codes import TC100 from tests import _get_error, mod examples = [ # No errors ('', set()), ('if TYPE_CHECKING:\n\tx = 2', set()), # Unused import ('if TYPE_CHECKING:\n\tfrom typing import Dict', {'1:0 ' + TC100}), ('if TYPE_CHECKING:\n\tfrom typing import Dict, Any', {'1:0 ' + TC100}), (f'if TYPE_CHECKING:\n\timport {mod}', {'1:0 ' + TC100}), (f'if TYPE_CHECKING:\n\tfrom {mod} import constants', {'1:0 ' + TC100}), # Used imports ('if TYPE_CHECKING:\n\tfrom typing import Dict\nx = Dict', set()), ('if TYPE_CHECKING:\n\tfrom typing import Dict, Any\nx, y = Dict, Any', set()), (f'if TYPE_CHECKING:\n\timport {mod}\nx = {mod}.constants.TC001', set()), (f'if TYPE_CHECKING:\n\tfrom {mod} import constants\nprint(constants)', set()), # Import used for AnnAssign ('if TYPE_CHECKING:\n\tfrom typing import Dict\nx: Dict[str, int]', {'1:0 ' + TC100}), ('if TYPE_CHECKING:\n\tfrom typing import Dict\nx: Dict[str, int] = {}', {'1:0 ' + TC100}), # Import used for arg ('if TYPE_CHECKING:\n\tfrom typing import Dict\ndef example(x: Dict[str, int]):\n\tpass', {'1:0 ' + TC100}), ('if TYPE_CHECKING:\n\tfrom typing import Dict\ndef example(x: Dict[str, int] = {}):\n\tpass', {'1:0 ' + TC100}), # Import used for returns ('if TYPE_CHECKING:\n\tfrom typing import Dict\ndef example() -> Dict[str, int]:\n\tpass', {'1:0 ' + TC100}), # Probably not much point in adding many more test cases, as the logic for TC100 # is not dependent on the type of annotation assignments; it's purely concerned with # whether an ast.Import or ast.ImportFrom exists within a type checking block ] @pytest.mark.parametrize('example, expected', examples) def test_TC100_errors(example, expected): assert _get_error(example, error_code_filter='TC100') == expected

46.957447

117

0.670594

343

2,207

4.233236

0.329446

0.140496

0.134986

0.144628

0.469697

0.455234

0.433196

0.408402

0.347107

0.264463

0

0.035971

0.181242

2,207

46

118

47.978261

0.767571

0.30222

0

0.130435

0.588583

0.221785

0

0.043478

1

0.043478

false

0.130435

0.695652

0

0.73913

0.043478

0

null

0

null

0

1

0

1

0

3

149847bd740c757e149d66da0c573d0fe5e56850

91

py

Python

tests/basic/lambda4.py

Slater-Victoroff/pyjaco

89c4e3c46399c5023b0e160005d855a01241c58a

[ "MIT" ]

38

2015-01-01T18:08:59.000Z

2022-02-18T08:57:27.000Z

tests/basic/lambda4.py

dusty-phillips/pyjaco

066895ae38d1828498e529c1875cb88df6cbc54d

[ "MIT" ]

1

2020-07-15T13:30:32.000Z

tests/basic/lambda4.py

Slater-Victoroff/pyjaco

89c4e3c46399c5023b0e160005d855a01241c58a

[ "MIT" ]

12

2016-03-07T09:30:49.000Z

2021-09-05T20:38:47.000Z

la = [] for x in range(5): la.append(lambda x: (lambda q: q + x)(x)) print la[3](1)

11.375

45

0.527473

19

91

2.526316

0.631579

0

0.044118

0.252747

91

7

46

13

0.661765

0

null

0

null

0.25

1

0

null

0

1

0

null

0

1

0

3

14a905270cca517cd153387fad1257a23aa0b010

275

py

Python

futbol-news/backend/app/app/models/search_term.py

davidespicolomina/proyecto-personal

807445546d493f9c092720e18e5fefa3281da4c9

[ "Apache-2.0" ]

null

futbol-news/backend/app/app/models/search_term.py

davidespicolomina/proyecto-personal

807445546d493f9c092720e18e5fefa3281da4c9

[ "Apache-2.0" ]

null

futbol-news/backend/app/app/models/search_term.py

davidespicolomina/proyecto-personal

807445546d493f9c092720e18e5fefa3281da4c9

[ "Apache-2.0" ]

null

from sqlalchemy import Column, Integer, String from app.db.base_class import Base class SearchTerm(Base): id = Column(Integer, primary_key=True, index=True) term = Column(String, nullable=False, comment="Término de búsqueda para filtros", unique=True, index=True)

30.555556

110

0.76

39

275

5.307692

0.666667

0.125604

0

0.141818

275

8

111

34.375

0.877119

0

0.116364

0

1

0

false

0

0.4

0

1

0

null

0

1

0

null

0

1

0

1

0

3

1ae3b0d4623fb39afa8ccdec2cd3e21e3a3da924

109

py

Python

paul_analysis/Python/util/hdf5lib_param.py

lzkelley/arepo-mbh-sims_analysis

f14519552cedd39a040b53e6d7cc538b5b8f38a3

[ "MIT" ]

null

paul_analysis/Python/util/hdf5lib_param.py

lzkelley/arepo-mbh-sims_analysis

f14519552cedd39a040b53e6d7cc538b5b8f38a3

[ "MIT" ]

null

paul_analysis/Python/util/hdf5lib_param.py

lzkelley/arepo-mbh-sims_analysis

f14519552cedd39a040b53e6d7cc538b5b8f38a3

[ "MIT" ]

null

#tables or h5py libname="h5py" #tables" #libname="tables" def setlib(name): global libname libname = name

13.625

23

0.724771

15

109

5.266667

0.533333

0

0.021505

0.146789

109

7

24

15.571429

0.827957

0.33945

0

0.057971

0

1

0.25

false

0

0.25

0

1

0

null

0

1

0

null

0

1

0

3

1afff1ccdcfcf884da6805c728defb7d5049e9b8

424

py

Python

jtr/load/embeddings/__init__.py

mitchelljeff/SUMMAD4.3

33bb3a74cff16a7aa699660a08d98ddcd662cad5

[ "MIT" ]

1

2017-09-15T14:06:07.000Z

jtr/load/embeddings/__init__.py

mitchelljeff/SUMMAD4.3

33bb3a74cff16a7aa699660a08d98ddcd662cad5

[ "MIT" ]

null

jtr/load/embeddings/__init__.py

mitchelljeff/SUMMAD4.3

33bb3a74cff16a7aa699660a08d98ddcd662cad5

[ "MIT" ]

null

# -*- coding: utf-8 -*- from jtr.load.embeddings.embeddings import Embeddings, load_embeddings from jtr.load.embeddings.word_to_vec import load_word2vec, get_word2vec_vocabulary from jtr.load.embeddings.glove import load_glove from jtr.load.embeddings.vocabulary import Vocabulary __all__ = [ 'Embeddings', 'load_embeddings' 'load_word2vec', 'get_word2vec_vocabulary', 'load_glove', 'Vocabulary' ]

26.5

82

0.761792

52

424

5.903846

0.307692

0.273616

0.143322

0.273616

0.214984

0

0.013699

0.139151

424

15

83

28.266667

0.827397

0.049528

0

0.201995

0.057357

0

1

0

false

0

0.333333

0

0.333333

0

null

1

0

1

0

null

0

1

0

3

2102482614cbfec0280843f4652b4c092440bef6

80

py

Python

todo/apps.py

arthtyagi/gettit

26047f85a7cf0a5f380cde4e18f9bcc88bb27db6

[ "MIT" ]

6

2020-05-30T18:10:08.000Z

2021-11-30T14:39:41.000Z

todo/apps.py

arthtyagi/gettit

26047f85a7cf0a5f380cde4e18f9bcc88bb27db6

[ "MIT" ]

18

2020-06-21T12:04:47.000Z

2022-01-13T02:57:16.000Z

todo/apps.py

arthtyagi/gettit

26047f85a7cf0a5f380cde4e18f9bcc88bb27db6

[ "MIT" ]

1

2020-08-30T01:42:54.000Z

from django.apps import AppConfig class TodoConfig(AppConfig): name = 'todo'

13.333333

33

0.7625

10

80

6.1

0.9

0

0.15

80

5

34

16

0.897059

0

0.05

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

210ef2ae872b4a00dd69a05f6c0a2cbd5afb971f

269

py

Python

srv/tools/import_lemuria.py

Nekohime/lemuria

0e6ca20522547026e4b20bb8cd8caa23633c171c

[ "MIT" ]

13

2021-02-12T23:44:06.000Z

2022-03-05T16:59:08.000Z

srv/tools/import_lemuria.py

Nekohime/lemuria

0e6ca20522547026e4b20bb8cd8caa23633c171c

[ "MIT" ]

3

2021-03-16T18:28:54.000Z

2022-03-25T17:58:42.000Z

srv/tools/import_lemuria.py

Nekohime/lemuria

0e6ca20522547026e4b20bb8cd8caa23633c171c

[ "MIT" ]

5

2021-03-04T17:56:54.000Z

2022-01-24T19:31:22.000Z

#!/usr/bin/env python3 # encoding: utf-8 """Easily create ../app.db and import ../lemuria.json""" import asyncio from db_tools import init_db from db_tools import import_world asyncio.run(init_db()) asyncio.run(import_world('../atlemuria.txt', '../proplemuria.txt'))

24.454545

67

0.736059

41

269

4.682927

0.585366

0.0625

0.114583

0.177083

0

0.00823

0.096654

269

10

68

26.9

0.781893

0.327138

0

0.195402

0

1

0

true

0

0.8

0

0.8

0

null

0

1

0

null

0

1

0

1

0

3

213cacab60c7aca13a5911f8efdb7500b4cda703

468

py

Python

mine/chess_knight.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

mine/chess_knight.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

mine/chess_knight.py

NigrumAquila/py_checkio

df437c2c3ad325d84714665000e3299a70e91f32

[ "MIT" ]

null

def chess_knight(start, moves): def knight_can_move(from_pos, to_pos): return set(map(lambda x: abs(ord(x[0]) - ord(x[1])), zip(from_pos, to_pos))) == {1, 2} def knight_moves(pos): return {f + r for f in 'abcdefgh' for r in '12345678' if knight_can_move(pos, f + r)} # till task become consistent, hardcode res = knight_moves(start) if moves == 2: res.update(*map(knight_moves, res)) return sorted(res)

39

94

0.611111

75

468

3.653333

0.48

0.120438

0.094891

0.087591

0

0.037143

0.252137

468

12

95

39

0.745714

0.07906

0

0.037209

0

1

0.333333

false

0

0.222222

0.666667

0

null

0

null

0

1

0

1

0

3

213fe410dc708c64e9b46a2d208e12a8faedbe74

147

py

Python

GoogleColab/InteligenciaAnalitica/Ex5/downloadbase.py

AlexandroLuis/ComputerScience

273c3f6797737d98ffdf00ae870ceafa3aba59d1

[ "MIT" ]

2

2021-02-06T21:48:24.000Z

2022-03-21T00:16:17.000Z

GoogleColab/InteligenciaAnalitica/Ex5/downloadbase.py

AlexandroLuis/ComputerScience

273c3f6797737d98ffdf00ae870ceafa3aba59d1

[ "MIT" ]

null

GoogleColab/InteligenciaAnalitica/Ex5/downloadbase.py

AlexandroLuis/ComputerScience

273c3f6797737d98ffdf00ae870ceafa3aba59d1

[ "MIT" ]

1

2022-02-10T20:59:23.000Z

# https://www.kaggle.com/datatattle/covid-19-nlp-text-classification !gdown --id 1Hd0ytKZrR3s22FheUJt4EZOpZ4eWyTrN !unzip tweets_corona_virus.zip

29.4

68

0.829932

18

147

6.666667

1

0

0.064748

0.054422

147

4

69

36.75

0.798561

0.44898

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

3

215aad09216d33e48ee72eef419bf4b1dbea80ce

1,383

py

Python

Ch10/test/singly_circular_list_dictionary_test.py

Ryuichi-Sasaki/CLRS

3ae6f2c9554d2dffff0ea8f6f6e162fcdcf8f7e9

[ "MIT" ]

null

Ch10/test/singly_circular_list_dictionary_test.py

Ryuichi-Sasaki/CLRS

3ae6f2c9554d2dffff0ea8f6f6e162fcdcf8f7e9

[ "MIT" ]

null

Ch10/test/singly_circular_list_dictionary_test.py

Ryuichi-Sasaki/CLRS

3ae6f2c9554d2dffff0ea8f6f6e162fcdcf8f7e9

[ "MIT" ]

null

import unittest import sys sys.path.append("../src/") from singly_circular_list_dictionary import SinglyLinkedDictionary from singly_circular_list_dictionary import Item class TestSinglyLinkedDictionary(unittest.TestCase): def test_insert_search(self): d = SinglyLinkedDictionary() self.assertEqual(None, d.search(0)) x = Item(0) d.insert(x) self.assertEqual(x, d.search(0)) y = Item(1) d.insert(y) self.assertEqual(x, d.search(0)) self.assertEqual(y, d.search(1)) self.assertEqual(None, d.search(2)) def test_delete_search(self): d = SinglyLinkedDictionary() w = Item(0) d.insert(w) d.delete(w) self.assertEqual(None, d.search(0)) x = Item(1) y = Item(2) z = Item(3) d.insert(x) d.insert(y) d.insert(z) d.delete(y) self.assertEqual(x, d.search(1)) self.assertEqual(None, d.search(2)) self.assertEqual(z, d.search(3)) d.delete(x) self.assertEqual(None, d.search(1)) self.assertEqual(None, d.search(2)) self.assertEqual(z, d.search(3)) d.delete(z) self.assertEqual(None, d.search(1)) self.assertEqual(None, d.search(2)) self.assertEqual(None, d.search(3)) if __name__ == "__main__": unittest.main()

26.09434

66

0.595083

183

1,383

4.398907

0.196721

0.279503

0.212422

0.223602

0.586335

0.572671

0.396273

0.31677

0.273292

0

0.020792

0.269704

1,383

53

67

26.09434

0.776238

0

0.418605

0

0.010838

0

0.348837

1

0.046512

false

0

0.093023

0

0.162791

0

null

1

0

null

0

3

dcd99c7731f5c8f42cf05cb204ee8f7516acc652

413

py

Python

Diena_1_4_thonny/d2_u2_d11.py

edzya/Python_RTU_08_20

d2921d998c611c18328dd523daf976a27ce858c1

[ "MIT" ]

8

2020-08-31T16:10:54.000Z

2021-11-24T06:37:37.000Z

Diena_1_4_thonny/d2_u2_d11.py

edzya/Python_RTU_08_20

d2921d998c611c18328dd523daf976a27ce858c1

[ "MIT" ]

8

2021-06-08T22:30:29.000Z

2022-03-12T00:48:55.000Z

Diena_1_4_thonny/d2_u2_d11.py

edzya/Python_RTU_08_20

d2921d998c611c18328dd523daf976a27ce858c1

[ "MIT" ]

12

2020-09-28T17:06:52.000Z

2022-02-17T12:12:46.000Z

try: width=float(input("Ieraksti savas istabas platumu (metros): ")) height=float(input("Ieraksti savas istabas augstumu (metros): ")) length=float(input("Ieraksti savas istabas garumu (metros): ")) capacity=round(width*height*length, 2) print(f"Tavas istabas tilpums ir {capacity} m\u00b3.") except ValueError: print("Ievadiet vērtību ciparos! Komata vietā jālieto punkts.") print("*"*30)

45.888889

69

0.714286

52

413

5.673077

0.634615

0.101695

0.183051

0.233898

0.305085

0

0.016997

0.145278

413

9

70

45.888889

0.818697

0

0.536232

0

1

0

false

0

0.333333

0

null

0

1

0

1

0

null

0

3

dceac604206c3804e988356a36e1c21687d75def

50

py

Python

api_module/___init__.py

miscdec/tk-auto-study

2c5c716ab652dfc04796c335d2fb2bc01c494ccd

[ "MIT" ]

null

api_module/___init__.py

miscdec/tk-auto-study

2c5c716ab652dfc04796c335d2fb2bc01c494ccd

[ "MIT" ]

null

api_module/___init__.py

miscdec/tk-auto-study

2c5c716ab652dfc04796c335d2fb2bc01c494ccd

[ "MIT" ]

null

from . import main_api __all__=[ "main_api" ]

10

22

0.66

7

50

3.857143

0.714286

0.518519

0

0.22

50

5

23

10

0.692308

0

0.156863

0

1

0

false

0

0.25

0

0.25

0

1

0

null

1

0

1

0

null

0

3

dcf7946f10ce6e7e4b323d54039dd26ab7fa02da

271

py

Python

problem_49/test_prime_permutations.py

plilja/project-euler

646d1989cf15e903ef7e3c6e487284847d522ec9

[ "Apache-2.0" ]

null

problem_49/test_prime_permutations.py

plilja/project-euler

646d1989cf15e903ef7e3c6e487284847d522ec9

[ "Apache-2.0" ]

null

problem_49/test_prime_permutations.py

plilja/project-euler

646d1989cf15e903ef7e3c6e487284847d522ec9

[ "Apache-2.0" ]

null

import unittest from prime_permutations import * class PrimePermutationsTest(unittest.TestCase): def test_prime_permutations(self): self.assertEqual(sorted(prime_permutations()), sorted([2969, 6299, 9629])) if __name__ == '__main__': unittest.main()

20.846154

82

0.741697

29

271

6.517241

0.655172

0.269841

0

0.051948

0.147601

271

12

83

22.583333

0.766234

0

0.02952

0

0.142857

1

0.142857

false

0

0.285714

0

0.571429

0

1

0

null

1

0

null

0

1

0

3

dcf7baef1e6706bbb04fa4359be5af5f09500ebe

1,495

py

Python

lecture10/inventory_hitting_time.py

BenGravell/optimal-control-course

ae8ab619b5c138f79d466d9c6dfc7af46b2a23b6

[ "MIT" ]

null

lecture10/inventory_hitting_time.py

BenGravell/optimal-control-course

ae8ab619b5c138f79d466d9c6dfc7af46b2a23b6

[ "MIT" ]

null

lecture10/inventory_hitting_time.py

BenGravell/optimal-control-course

ae8ab619b5c138f79d466d9c6dfc7af46b2a23b6

[ "MIT" ]

null

import numpy as np import numpy.linalg as la import matplotlib.pyplot as plt capacity = 6 prob_demand_mass = np.array([0.7, 0.2, 0.1]) prob_demand_supp = np.array([0, 1, 2]) T = 50 P = np.array([[0, 0, 0, 0, prob_demand_mass[0], prob_demand_mass[1], prob_demand_mass[2]], [0, 0, 0, 0, prob_demand_mass[0], prob_demand_mass[1], prob_demand_mass[2]], [prob_demand_mass[0], prob_demand_mass[1], prob_demand_mass[2], 0, 0, 0, 0], [0, prob_demand_mass[0], prob_demand_mass[1], prob_demand_mass[2], 0, 0, 0], [0, 0, prob_demand_mass[0], prob_demand_mass[1], prob_demand_mass[2], 0, 0], [0, 0, 0, prob_demand_mass[0], prob_demand_mass[1], prob_demand_mass[2], 0], [0, 0, 0, 0, prob_demand_mass[0], prob_demand_mass[1], prob_demand_mass[2]]]) init_state = 6 # This should not be an element of the target_states target_states = [0, 1] Q = np.copy(P) for target_state in target_states: Q[target_state] = np.zeros(capacity+1) Q[target_state, target_state] = 1 t_hist = np.arange(T) hit_prob_hist = np.zeros(T) for t in t_hist: if t > 0: Q1 = la.matrix_power(Q, t) Q2 = la.matrix_power(Q, t-1) Qdiff = Q1 - Q2 hit_prob_hist[t] = np.sum([Qdiff[init_state, target_state] for target_state in target_states]) plt.close('all') plt.style.use('../conlab.mplstyle') plt.step(t_hist, hit_prob_hist) plt.xlabel('Time') plt.ylabel('Hitting probability') plt.tight_layout() plt.show()

36.463415

102

0.656856

271

1,495

3.365314

0.239852

0.252193

0.337719

0.213816

0.470395

0.4375

0.376096

0

0.059652

0.192642

1,495

40

103

37.375

0.69594

0.033445

0

0.030492

0

1

0

false

0

0.085714

0

0.085714

0

null

1

0

null

0

3

0d05520e82655910896021870c67e33da2f6dc74

569

py

Python

tests/api/schemas/test_product_schema.py

igor822/product-categorization

e9c64834bf60cd9d51ab9b696b1b3ea49e702c9d

[ "MIT" ]

19

2018-11-13T15:12:12.000Z

2022-01-31T20:43:26.000Z

tests/api/schemas/test_product_schema.py

igor822/product-categorization

e9c64834bf60cd9d51ab9b696b1b3ea49e702c9d

[ "MIT" ]

null

tests/api/schemas/test_product_schema.py

igor822/product-categorization

e9c64834bf60cd9d51ab9b696b1b3ea49e702c9d

[ "MIT" ]

8

2019-03-07T03:32:43.000Z

2020-11-13T01:51:03.000Z

import unittest import pytest from src.api.schemas.product_schema import ProductSchema class ProductSchemaTests(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_validate_valid_product(self): product = {"name": "Produt name", "description": "Some description"} assert ProductSchema().load(product) def test_validate_invalid_product(self): product = {"name": "Produt name"} validation = ProductSchema().load(product) assert len(validation.errors['description']) == 1

27.095238

76

0.683656

61

569

6.262295

0.52459

0.041885

0.057592

0.115183

0.167539

0

0.002222

0.209139

569

20

77

28.45

0.846667

0

0.133333

0

0.119508

0

0.133333

1

0.266667

false

0.133333

0.2

0

0.533333

0

null

0

null

0

1

0

1

0

1

0

3

0d1b7c2182554a8a0f1a06812e62cc4dae4383a2

122

py

Python

py_tdlib/constructors/location.py

Mr-TelegramBot/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

24

2018-10-05T13:04:30.000Z

2020-05-12T08:45:34.000Z

py_tdlib/constructors/location.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

3

2019-06-26T07:20:20.000Z

2021-05-24T13:06:56.000Z

py_tdlib/constructors/location.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

5

2018-10-05T14:29:28.000Z

2020-08-11T15:04:10.000Z

from ..factory import Type class location(Type): latitude = None # type: "double" longitude = None # type: "double"

17.428571

35

0.680328

15

122

5.533333

0.666667

0.192771

0.337349

0

0.196721

122

6

36

20.333333

0.846939

0.237705

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

1

0

null

0

3

0d22a9dd7d5f467850b8900e066974665ef38818

2,394

py

Python

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GL/NV/draw_vulkan_image.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GL/NV/draw_vulkan_image.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/GL/NV/draw_vulkan_image.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

'''OpenGL extension NV.draw_vulkan_image This module customises the behaviour of the OpenGL.raw.GL.NV.draw_vulkan_image to provide a more Python-friendly API Overview (from the spec) This extension provides a new function, DrawVkImageNV(), allowing applications to draw a screen-aligned rectangle displaying some or all of the contents of a two-dimensional Vulkan VkImage. Callers specify a Vulkan VkImage handle, an optional OpenGL sampler object, window coordinates of the rectangle to draw, and texture coordinates corresponding to the corners of the rectangle. For each fragment produced by the rectangle, DrawVkImageNV interpolates the texture coordinates, performs a texture lookup, and uses the texture result as the fragment color. No shaders are used by DrawVkImageNV; the results of the texture lookup are used in lieu of a fragment shader output. The fragments generated are processed by all per-fragment operations. In particular, DrawVkImageNV() fully supports blending and multisampling. In order to synchronize between Vulkan and OpenGL there are three other functions provided; WaitVkSemaphoreNV(), SignalVkSemaphoreNV() and SignalVkFenceNV(). These allow OpenGL to wait for Vulkan to complete work and also Vulkan to wait for OpenGL to complete work. Together OpenGL and Vulkan can synchronize on the server without application interation. Finally the function GetVkProcAddrNV() is provided to allow the OpenGL context to query the Vulkan entry points directly and avoid having to load them through the typical Vulkan loader. The official definition of this extension is available here: http://www.opengl.org/registry/specs/NV/draw_vulkan_image.txt ''' from OpenGL import platform, constant, arrays from OpenGL import extensions, wrapper import ctypes from OpenGL.raw.GL import _types, _glgets from OpenGL.raw.GL.NV.draw_vulkan_image import * from OpenGL.raw.GL.NV.draw_vulkan_image import _EXTENSION_NAME def glInitDrawVulkanImageNV(): '''Return boolean indicating whether this extension is available''' from OpenGL import extensions return extensions.hasGLExtension( _EXTENSION_NAME ) # INPUT glGetVkProcAddrNV.name size not checked against 'name' glGetVkProcAddrNV=wrapper.wrapper(glGetVkProcAddrNV).setInputArraySize( 'name', None ) ### END AUTOGENERATED SECTION

45.169811

77

0.789474

327

2,394

5.730887

0.495413

0.032017

0.045358

0.055496

0.040555

0

0.166249

2,394

53

78

45.169811

0.938878

0.847118

0

0.008421

0

1

0.083333

false

0

0.583333

0

0.75

0

null

0

1

0

null

0

1

0

1

0

3

0d2fbfa96bb0ce534111ac7e21349a1c716d99fa

637

py

Python

PyOpenWorm/quantity.py

nheffelman/pyopdata

5cc3042b004f167dbf18acc119474ea48b47810d

[ "MIT" ]

null

PyOpenWorm/quantity.py

nheffelman/pyopdata

5cc3042b004f167dbf18acc119474ea48b47810d

[ "MIT" ]

null

PyOpenWorm/quantity.py

nheffelman/pyopdata

5cc3042b004f167dbf18acc119474ea48b47810d

[ "MIT" ]

null

import pint as Q class Quantity: """ Enables the use of measurement units in our statements """ ur = Q.UnitRegistry() @classmethod def parse(self, s): q = self.ur.Quantity(s) my_q = Quantity(0,"mL") my_q._quant = q return my_q def __init__(self, value, unit): self._quant = self.ur.Quantity(value,unit) @property def unit(self): return str(self._quant.units) @property def value(self): return self._quant.magnitude def serialize(self): return (str(self.value) + self.unit) #alias call to string __str__ = serialize

21.233333

62

0.601256

84

637

4.380952

0.452381

0.024457

0.076087

0.092391

0

0.002222

0.293564

637

29

63

21.965517

0.815556

0.125589

0

0.1

0

0.003636

0

1

0.25

false

0

0.05

0.15

0.65

0

null

0

null

0

1

0

1

0

3

0d426d8765e77fea1c98581ceb39c83d5c0fb5f4

215

py

Python

parts/edag_diodes.py

baryluk/edag

675107e2078bcecb30768a5e96c7431104352024

[ "BSL-1.0" ]

null

parts/edag_diodes.py

baryluk/edag

675107e2078bcecb30768a5e96c7431104352024

[ "BSL-1.0" ]

null

parts/edag_diodes.py

baryluk/edag

675107e2078bcecb30768a5e96c7431104352024

[ "BSL-1.0" ]

null

#!/usr/bin/env python3 # Diodes "1N4148" "1N5817G" "BAT43" # Zener "1N457" # bc junction of many transistors can also be used as dioded, i.e. 2SC1815, 2SA9012, etc. with very small leakage current (~1pA at -4V).

21.5

136

0.702326

34

215

4.441176

1

0

0.162921

0.172093

215

9

137

23.888889

0.685393

0.818605

0

0.547619

0

1

0

true

0

null

0

1

0

1

0

null

0

1

0

3

0d51ae17ec18a17c3026a04979a7cfd4797e2e95

1,680

py

Python

infoblox_netmri/api/remote/models/wireless_hot_standby_grid_remote.py

IngmarVG-IB/infoblox-netmri

b0c725fd64aee1890d83917d911b89236207e564

[ "Apache-2.0" ]

null

infoblox_netmri/api/remote/models/wireless_hot_standby_grid_remote.py

IngmarVG-IB/infoblox-netmri

b0c725fd64aee1890d83917d911b89236207e564

[ "Apache-2.0" ]

null

infoblox_netmri/api/remote/models/wireless_hot_standby_grid_remote.py

IngmarVG-IB/infoblox-netmri

b0c725fd64aee1890d83917d911b89236207e564

[ "Apache-2.0" ]

null

21.265823

62

0.491071

95

1,680

8.652632

0.315789

0.205596

0.268856

0.363747

0

0.383333

1,680

79

63

21.265823

0.793436

0.4625

0

0.267956

0.030387

0

1

0

false

0

0.117647

0

0.235294

0

null

1

0

null

0

3

b49746c535ff505d70174da7005a75abdaab6aa0

1,707

py

Python

src/test_uint8.py

disconnect3d/PicoBlade-asm

f4c1c5966f71ac9b11118dc0df1a6dd93699b4a2

[ "MIT" ]

4

2018-07-26T21:16:06.000Z

2021-07-02T17:07:01.000Z

src/test_uint8.py

disconnect3d/PicoBlade-asm

f4c1c5966f71ac9b11118dc0df1a6dd93699b4a2

[ "MIT" ]

1

2016-11-09T22:47:05.000Z

2017-01-19T23:34:50.000Z

src/test_uint8.py

disconnect3d/PicoBlade-asm

f4c1c5966f71ac9b11118dc0df1a6dd93699b4a2

[ "MIT" ]

null

from src.uint8 import uint8 def test_constructor1(): assert int(uint8(20)) == 20 def test_constructor2(): assert uint8(256) == uint8(0) assert uint8(260) == uint8(4) assert uint8(-1) == uint8(255) assert uint8(-5) == uint8(251) assert uint8(-5) != uint8(252) def test_add_other(): assert (uint8(50), 0) == uint8(20) + uint8(30) assert (uint8(5), 1) == uint8(250) + uint8(11) def test_add_int(): assert (uint8(50), 0) == uint8(20) + 30 assert (uint8(5), 1) == uint8(250) + 11 assert (uint8(251), 1) == uint8(1) + -6 def test_sub_other(): assert (uint8(246), 1) == uint8(20) - uint8(30) assert (uint8(239), 0) == uint8(250) - uint8(11) def test_sub_int(): assert (uint8(246), 1) == uint8(20) - 30 assert (uint8(239), 0) == uint8(250) - 11 assert (uint8(7), 0) == uint8(1) - -6 def test_and_other(): assert uint8(24) == uint8(31) & uint8(24) assert uint8(0) == uint8(17) & uint8(12) val = uint8(31) val &= uint8(24) assert val == uint8(24) def test_and_int(): assert uint8(24) == uint8(31) & 24 assert uint8(0) == uint8(17) & 12 val = uint8(31) val &= 24 assert val == uint8(24) def test_eq_int(): assert uint8(42) == 42 assert uint8(256) == 0 assert uint8(-1) == 255 def test_mod(): assert uint8(32) % 2 == 0 assert uint8(5) % uint8(2) == 1 def test_lshift(): assert (uint8(0), 1) == uint8(128) << 1 assert (uint8(128), 1) == uint8(192) << 1 assert (uint8(64), 0) == uint8(32) << 1 def test_getitem(): assert uint8(16)[4] == 1 assert uint8(16)[5] == 0 for i in range(8): assert uint8(255)[i] == 1 assert uint8(0)[i] == 0

22.168831

52

0.565319

266

1,707

3.556391

0.199248

0.360465

0.063425

0.053911

0.460888

0.32981

0.154334

0

0.197205

0.24546

1,707

76

53

22.460526

0.537267

0

0.076923

0

0.653846

1

0.230769

false

0

0.019231

0

0.25

0

null

1

0

null

0

1

0

1

0

3

b4c089a9dff52456f55324f47ec3da262a9da232

8,392

py

Python

lentil/fourier.py

andykee/lentil

28b3e449336ec4a405144b302d7c0d92d308f052

[ "BSD-3-Clause" ]

6

2020-07-30T19:33:22.000Z

2022-01-19T19:17:13.000Z

lentil/fourier.py

andykee/lentil

28b3e449336ec4a405144b302d7c0d92d308f052

[ "BSD-3-Clause" ]

42

2020-06-19T06:02:10.000Z

2022-03-05T00:06:46.000Z

lentil/fourier.py

andykee/lentil

28b3e449336ec4a405144b302d7c0d92d308f052

[ "BSD-3-Clause" ]

2

2021-08-05T18:27:08.000Z

2022-01-18T19:42:40.000Z

import functools import numpy as np def dft2(f, alpha, npix=None, shift=(0, 0), offset=(0, 0), unitary=True, out=None): """Compute the 2-dimensional discrete Fourier Transform. This function allows independent control over input shape, output shape, and output sampling by implementing the matrix triple product algorithm described in [1]. Parameters ---------- f : array_like 2D array to Fourier Transform alpha : float or array_like Output plane sampling interval (frequency). If :attr:`alpha` is an array, ``alpha[1]`` represents row-wise sampling and ``alpha[2]`` represents column-wise sampling. If :attr:`alpha` is a scalar, ``alpha[1] = alpha[2] = alpha`` gives uniform sampling across the rows and columns of the output plane. npix : int or array_like, optional Size of the output array :attr:`F`. If :attr:`npix` is an array, ``F.shape = (npix[1], npix[2])``. If :attr:`npi`` is a scalar, ``F.shape = (npix, npix)``. Default is ``f.shape``. shift : array_like, optional Number of pixels in (r,c) to shift the DC pixel in the output plane with the origin centrally located in the plane. Default is ``(0,0)``. offset : array_like, optional Number of pixels in (r,c) that the input plane is shifted relative to the origin. Default is ``(0,0)``. unitary : bool, optional Normalization flag. If ``True``, a normalization is performed on the output such that the DFT operation is unitary and energy is conserved through the Fourier transform operation (Parseval's theorem). In this way, the energy in in a limited-area DFT is a fraction of the total energy corresponding to the limited area. Default is ``True``. out : ndarray or None A location into which the result is stored. If provided, it must have shape = npix and dtype = np.complex. If not provided or None, a freshly-allocated array is returned. Returns ------- F : complex ndarray Notes ----- * Setting ``alpha = 1/f.shape`` and ``npix = f.shape`` is equivalent to :: F = np.fft.ifftshift(np.fft.fft2(np.fft.fftshift(f))) * ``dft2()`` is designed to place the DC pixel in the same location as a well formed call to any standard FFT for both even and odd sized input arrays. The DC pixel is located at ``np.floor(npix/2) + 1``, which is consistent with calls to Numpy's FFT method where the input and output are correctly shifted: ``np.fft.ifftshift(np.fft.fft2(np.fft.fftshift(f)))``. * If the y-axis shift behavior is not what you are expecting, you most likely have your plotting axes flipped (matplotlib's default behavior is to place [0,0] in the upper left corner of the axes). This may be resolved by either flipping the sign of the y component of ``shift`` or by passing ``origin = 'lower'`` to ``imshow()``. References ---------- [1] Soummer, et. al. Fast computation of Lyot-style coronagraph propagation (2007) """ alpha_row, alpha_col = _sanitize_alpha(alpha) f = np.asarray(f) m, n = f.shape if npix is None: npix = [m, n] M, N = _sanitize_npix(npix) shift_row, shift_col = _sanitize_shift(shift) offset_row, offset_col = _sanitize_npix(offset) if out is not None: if not np.can_cast(complex, out.dtype): raise TypeError(f"Cannot cast complex output to dtype('{out.dtype}')") E1, E2 = _dft2_matrices(m, n, M, N, alpha_row, alpha_col, shift_row, shift_col, offset_row, offset_col) F = np.dot(E1.dot(f), E2, out=out) # now calculate the answer, without reallocating memory if unitary: np.multiply(F, np.sqrt(np.abs(alpha_row * alpha_col)), out=F) return F @functools.lru_cache(maxsize=32) def _dft2_matrices(m, n, M, N, alphar, alphac, shiftr, shiftc, offsetr, offsetc): R, S, U, V = _dft2_coords(m, n, M, N) E1 = np.exp(-2.0 * 1j * np.pi * alphar * np.outer(R-shiftr+offsetr, U-shiftr)).T E2 = np.exp(-2.0 * 1j * np.pi * alphac * np.outer(S-shiftc+offsetc, V-shiftc)) return E1, E2 @functools.lru_cache(maxsize=32) def _dft2_coords(m, n, M, N): # R and S are (r,c) coordinates in the (m x n) input plane f # V and U are (r,c) coordinates in the (M x N) output plane F R = np.arange(m) - np.floor(m/2.0) S = np.arange(n) - np.floor(n/2.0) U = np.arange(M) - np.floor(M/2.0) V = np.arange(N) - np.floor(N/2.0) return R, S, U, V def idft2(F, alpha, npix=None, shift=(0,0), unitary=True, out=None): """Compute the 2-dimensional inverse discrete Fourier Transform. This function allows independent control over input shape, output shape, and output sampling by implementing the matrix triple product algorithm described in [1]. Parameters ---------- F : array_like 2D array to Fourier Transform alpha : float or array_like Input plane sampling interval (frequency). If :attr:`alpha` is an array, ``alpha[1]`` represents row-wise sampling and ``alpha[2]`` represents column-wise sampling. If :attr:`alpha` is a scalar, ``alpha[1] = alpha[2] = alpha`` represents uniform sampling across the rows and columns of the input plane. npix : int or array_like, optional Size of the output array :attr:`F`. If :attr:`npix` is an array, ``F.shape = (npix[1], npix[2])``. If :attr:`npix` is a scalar, ``F.shape = (npix, npix)``. Default is ``F.shape`` shift : array_like, optional Number of pixels in (x,y) to shift the DC pixel in the output plane with the origin centrally located in the plane. Default is `[0,0]`. unitary : bool, optional Normalization flag. If ``True``, a normalization is performed on the output such that the DFT operation is unitary and energy is conserved through the Fourier transform operation (Parseval's theorem). In this way, the energy in in a limited-area DFT is a fraction of the total energy corresponding to the limited area. Default is ``True``. Returns ------- f : complex ndarray Notes ----- * Setting ``alpha = 1/F.shape`` and ``npix = F.shape`` is equivalent to :: F = np.fft.ifftshift(np.fft.ifft2(np.fft.fftshift(F))) * ``idft2()`` is designed to place the DC pixel in the same location as a well formed call to any standard FFT for both even and odd sized input arrays. The DC pixel is located at ``np.floor(npix/2) + 1``, which is consistent with calls to Numpy's IFFT method where the input and output are correctly shifted: ``np.fft.ifftshift(np.fft.ifft2(np.fft.fftshift(f)))``. * If the y-axis shift behavior is not what you are expecting, you most likely have your plotting axes flipped (matplotlib's default behavior is to place [0,0] in the upper left corner of the axes). This may be resolved by either flipping the sign of the y component of ``shift`` or by passing ``origin = 'lower'`` to ``imshow()``. References ---------- [1] Soummer, et. al. Fast computation of Lyot-style coronagraph propagation (2007) [2] `Expressing the inverse DFT in terms of the DFT <https://en.wikipedia.org/wiki/Discrete_Fourier_transform#Expressing_the_inverse_DFT_in_terms_of_the_DFT>`_. """ F = np.asarray(F) N = F.size # will allocate memory for F if out == None F = dft2(np.conj(F), alpha, npix, shift, unitary=unitary, out=out) np.conj(F, out=F) return np.divide(F, N, out=F) def _sanitize_alpha(x): """Return consistent representation of alpha as ar, ac""" x = np.asarray(x) if x.size == 1: ar, ac = float(x), float(x) else: ar, ac = float(x[0]), float(x[1]) return ar, ac def _sanitize_npix(x): """Return consistent representation of npix as M, N""" x = np.asarray(x) if x.size == 1: M, N = int(x), int(x) else: M, N = int(x[0]), int(x[1]) return M, N def _sanitize_shift(x): """Return consistent representation of shift as sr, sc""" if isinstance(x, np.ndarray): sr, sc = float(x[0]), float(x[1]) else: sr, sc = x return sr, sc

38.319635

164

0.636916

1,309

8,392

4.038197

0.197097

0.005675

0.011351

0.003784

0.756527

0.737798

0.722664

0.697692

0.676126

0.629398

0

0.015528

0.247974

8,392

218

165

38.495413

0.822057

0.68601

0

0.152542

0

0.022957

0

1

0.118644

false

0

0.033898

0

0.271186

0

null

0

1

0

1

0

null

0

3

b4c33445657935893d39d91a0309206fd2cd458e

391

py

Python

tellurium/notebooks/__init__.py

kirichoi/tellurium

77cf6e794600587741ebe209644a78051e0db1d5

[ "Apache-2.0" ]

73

2016-06-13T12:44:28.000Z

2021-12-31T14:44:39.000Z

tellurium/notebooks/__init__.py

kirichoi/tellurium

77cf6e794600587741ebe209644a78051e0db1d5

[ "Apache-2.0" ]

461

2015-03-26T00:05:16.000Z

2022-03-16T17:24:35.000Z

tellurium/notebooks/__init__.py

kirichoi/tellurium

77cf6e794600587741ebe209644a78051e0db1d5

[ "Apache-2.0" ]

30

2016-01-18T16:50:54.000Z

2021-07-06T09:29:53.000Z

""" notebook imports """ from __future__ import absolute_import import warnings import ipywidgets import IPython from .notebooktools import * from .ontologysearch import OntologySearch from .parameterslider import ParameterSlider from .speciessearch import SearchBySpeciesForm # except ImportError: # warnings.warn("Notebook tools are not imported, due to missing dependencies.")

17.772727

83

0.808184

41

391

7.585366

0.609756

0

0.138107

391

21

84

18.619048

0.922849

0.304348

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

b4c97a273a81770eaaca18c88e6e3fb3e5d16e27

1,307

py

Python

cupy/linalg/norm.py

umitanuki/chainer

225c56b233e684ff4855451d2af4c2fb66915f21

[ "MIT" ]

null

cupy/linalg/norm.py

umitanuki/chainer

225c56b233e684ff4855451d2af4c2fb66915f21

[ "MIT" ]

null

cupy/linalg/norm.py

umitanuki/chainer

225c56b233e684ff4855451d2af4c2fb66915f21

[ "MIT" ]

1

2018-11-18T00:36:51.000Z

def norm(x, ord=None, axis=None): # TODO(beam2d): Implement it raise NotImplementedError def cond(x, p=None): # TODO(beam2d): Implement it raise NotImplementedError def det(a): # TODO(beam2d): Implement it raise NotImplementedError def matrix_rank(M, tol=None): # TODO(beam2d): Implement it raise NotImplementedError def slogdet(a): # TODO(beam2d): Implement it raise NotImplementedError def trace(a, offset=0, axis1=0, axis2=1, dtype=None, out=None): """Returns the sum along the diagonals of an array. It computes the sum along the diagonals at ``axis1`` and ``axis2``. Args: a (cupy.ndarray): Array to take trace. offset (int): Index of diagonals. Zero indicates the main diagonal, a positive value an upper diagonal, and a negative value a lower diagonal. axis1 (int): The first axis along which the trace is taken. axis2 (int): The second axis along which the trace is taken. dtype: Data type specifier of the output. out (cupy.ndarray): Output array. Returns: cupy.ndarray: The trace of ``a`` along axes ``(axis1, axis2)``. .. seealso:: :func:`numpy.trace` """ d = a.diagonal(offset, axis1, axis2) return d.sum(-1, dtype, out, False)

26.673469

77

0.646519

180

1,307

4.688889

0.4

0.059242

0.112559

0.124408

0.424171

0.369668

0.300948

0

0.019348

0.248661

1,307

48

78

27.229167

0.840122

0.605203

0

0.384615

0

0.020833

0

1

0.461538

false

0

0.538462

0

null

0

null

0

1

0

1

0

1

0

3

b4ea18107650e6d8144929adf5242acb860cb78c

198

py

Python

src/setup.py

Mr-Salme/CipheyCore

f9ce42973d141a6cfd506ec7a423443293d29201

[ "MIT" ]

null

src/setup.py

Mr-Salme/CipheyCore

f9ce42973d141a6cfd506ec7a423443293d29201

[ "MIT" ]

null

src/setup.py

Mr-Salme/CipheyCore

f9ce42973d141a6cfd506ec7a423443293d29201

[ "MIT" ]

null

from setuptools import setup, Extension # Compile parts of `freq.cpp` into a shared library so we can call it from Python setup( #... ext_modules=[Extension('gof_test', ['freq.cpp'],),], )

24.75

81

0.686869

29

198

4.62069

0.827586

0.104478

0

0.176768

198

7

82

28.285714

0.822086

0.414141

0

0.141593

0

1

0

true

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

1

0

3

370a15691cec20cb2cd5ab37aca120000fa1eaf8

40,610

py

Python

v2.5.7/toontown/episodes/MoneybinTakeover.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

4

2019-07-01T15:46:43.000Z

2021-07-23T16:26:48.000Z

v2.5.7/toontown/episodes/MoneybinTakeover.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

1

2019-06-29T03:40:05.000Z

2021-06-13T01:15:16.000Z

v2.5.7/toontown/episodes/MoneybinTakeover.py

TTOFFLINE-LEAK/ttoffline

bb0e91704a755d34983e94288d50288e46b68380

[ "MIT" ]

4

2019-07-28T21:18:46.000Z

2021-02-25T06:37:25.000Z

from toontown.avatar import ToontownAvatarUtils from toontown.avatar.CogExtras import * PROPS = [ ( 5, 'modules', 'suit_walls', (0.0, 342.4, 0.0), (-10.5, 0.0, 0.0), (54.6, 54.6, 54.6), 'wall_suit_build5', None, None), ( 5, 'modules', 'suit_walls', (53.686, 332.45, 0.0), (-16.5, 0.0, 0.0), (54.6, 54.6, 54.6), 'wall_suit_build5', None, None), ( 5, 'modules', 'suit_walls', (106.037, 316.943, 0.0), (-24.0, 0.0, 0.0), (54.6, 54.6, 54.6), 'wall_suit_build5', None, None), ( 5, 'modules', 'suit_walls', (155.917, 294.735, 0.0), (-36.0, 0.0, 0.0), (54.6, 54.6, 54.6), 'wall_suit_build5', None, None), ( 4, 'modules', 'suit_landmark_corp', (196.307, 269.394, 0.0), (-49.5, 0.0, 0.0), (2.7, 2.7, 2.7), None, None, None), ( 5, 'modules', 'suit_walls', (247.652, 209.276, 0.0), (-54.0, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build4', None, None), ( 5, 'modules', 'suit_walls', (280.215, 164.456, 0.0), (-70.5, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build4', None, None), ( 5, 'modules', 'suit_walls', (298.708, 112.234, 0.0), (-81.0, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build4', None, None), ( 5, 'modules', 'suit_walls', (307.374, 57.516, 0.0), (-88.5, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build4', None, None), ( 5, 'modules', 'suit_walls', (308.824, 2.135, 0.0), (-96.0, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build3', None, None), ( 5, 'modules', 'suit_walls', (303.034, -52.961, 0.0), (-102.0, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build3', None, None), ( 5, 'modules', 'suit_walls', (291.515, -107.15, 0.0), (-115.5, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build3', None, None), ( 5, 'modules', 'suit_walls', (267.665, -157.153, 0.0), (-129.0, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build3', None, None), ( 5, 'modules', 'suit_walls', (232.801, -200.207, 0.0), (-142.5, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build3', None, None), ( 5, 'modules', 'suit_walls', (-78.657, -284.069, 0.0), (165.5, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build1', None, None), ( 5, 'modules', 'suit_walls', (-132.292, -270.198, 0.0), (149.0, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build1', None, None), ( 5, 'modules', 'suit_walls', (-179.779, -241.665, 0.0), (134.0, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build1', None, None), ( 5, 'modules', 'suit_walls', (-218.263, -201.813, 0.0), (123.5, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build2', None, None), ( 5, 'modules', 'suit_walls', (-248.84, -155.616, 0.0), (114.5, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build2', None, None), ( 5, 'modules', 'suit_walls', (-271.814, -105.204, 0.0), (96.5, 0.0, 0.0), (55.4, 55.4, 55.4), 'wall_suit_build2', None, None), ( 4, 'modules', 'suit_landmark_legal', (-278.086, -50.161, 0.0), (87.5, 0.0, 0.0), (2.7, 2.7, 2.7), None, None, None), ( 5, 'modules', 'suit_walls', (-274.513, 31.661, 0.0), (81.5, 0.0, 0.0), (54.5, 54.5, 54.5), 'wall_suit_build4', None, None), ( 5, 'modules', 'suit_walls', (-266.458, 85.563, 0.0), (66.5, 0.0, 0.0), (54.5, 54.5, 54.5), 'wall_suit_build4', None, None), ( 5, 'modules', 'suit_walls', (-244.726, 135.543, 0.0), (54.5, 0.0, 0.0), (54.5, 54.5, 54.5), 'wall_suit_build4', None, None), ( 5, 'modules', 'suit_walls', (-213.078, 179.912, 0.0), (65.0, 0.0, 0.0), (54.5, 54.5, 54.5), 'wall_suit_build4', None, None), ( 5, 'modules', 'suit_walls', (-190.045, 229.306, 0.0), (68.0, 0.0, 0.0), (54.5, 54.5, 54.5), 'wall_suit_build5', None, None), ( 5, 'modules', 'suit_walls', (-169.629, 279.838, 0.0), (54.5, 0.0, 0.0), (54.5, 54.5, 54.5), 'wall_suit_build5', None, None), ( 5, 'modules', 'suit_walls', (-137.98, 324.207, 0.0), (12.5, 0.0, 0.0), (54.5, 54.5, 54.5), 'wall_suit_build5', None, None), ( 4, 'modules', 'suit_landmark_sales', (-86.515, 338.143, 0.0), (5.0, 0.0, 0.0), (2.8, 2.8, 2.8), None, None, None), ( 6, 'cogHQ', 'WaterTowerSimple', (110.0, -140.0, 0.0), (0.0, 0.0, 0.0), (1.0, 1.0, 1.0), None, None, None), ( 6, 'cogHQ', 'WaterTowerSimple', (83.4, -175.2, 0.0), (0.0, 0.0, 0.0), (0.8, 0.8, 0.8), None, None, None), ( 6, 'cogHQ', 'WaterTowerSimple', (51.0, 131.8, 0.15), (54.0, 0.0, 0.0), (2.0, 2.0, 2.0), None, None, None), ( 6, 'cogHQ', 'WaterTowerSimple', (86.812, 209.566, 0.15), (-25.5, 0.0, 0.0), (1.4, 1.4, 1.4), None, None, None), ( 6, 'cogHQ', 'WaterTowerSimple', (125.888, 94.562, 0.15), (13.5, 0.0, 0.0), (1.4, 1.4, 1.4), None, None, None), ( 6, 'cogHQ', 'WaterTowerSimple', (167.643, -205.228, 0.15), (293.0, 0.0, 0.0), (1.1, 1.1, 1.1), None, None, None), ( 6, 'cogHQ', 'SmokeStack_simple', (-67.683, 76.087, 0.15), (293.0, 0.0, 0.0), (1.1, 1.1, 1.1), None, None, None), ( 6, 'cogHQ', 'SmokeStack_simple', (-76.301, 48.529, 0.15), (293.0, 0.0, 0.0), (1.025, 1.025, 1.025), None, None, None), ( 6, 'cogHQ', 'SmokeStack_simple', (-90.453, 37.979, 0.15), (293.0, 0.0, 0.0), (0.875, 0.875, 0.875), None, None, None), ( 6, 'cogHQ', 'SmokeStack_simple', (-96.849, 7.107, 0.15), (293.0, 0.0, 0.0), (0.775, 0.775, 0.775), None, None, None), ( 9, 'cogHQ', 'woodCrateB', (91.145, -154.239, 0.3), (403.5, 0.0, 0.0), (2.575, 2.575, 2.575), None, None, None), ( 9, 'cogHQ', 'metal_crateB', (241.218, 62.596, 0.3), (325.5, 0.0, 0.0), (3.975, 3.975, 3.975), None, None, None), ( 9, 'cogHQ', 'FactoryGearB', (215.457, -170.329, 3.15), (339.0, 0.0, 0.0), (12.975, 12.975, 12.975), None, None, None), ( 9, 'cogHQ', 'woodCrateB', (223.817, 70.637, 0.15), (348.0, 0.0, 0.0), (2.875, 2.875, 2.875), None, None, None), ( 10, 'cashbotHQ', 'CBWoodCrate', (148.604, -193.93, 0.25), (336.0, 0.0, 0.0), (2.875, 2.875, 2.875), None, None, None), ( 10, 'cashbotHQ', 'CBMetalCrate', (187.686, -190.44, 0.25), (364.5, 0.0, 0.0), (2.875, 2.875, 2.875), None, None, None), ( 10, 'cashbotHQ', 'CBMetalCrate', (159.86, -175.457, 0.25), (360.0, 0.0, 0.0), (2.425, 2.425, 2.425), None, None, None), ( 10, 'cashbotHQ', 'DoubleGoldStack', (130.958, 188.263, 0.25), (378.0, 0.0, 0.0), (2.425, 2.425, 2.425), None, None, None), ( 10, 'cashbotHQ', 'DoubleCoinStack', (16.991, 243.846, 0.25), (367.5, 0.0, 0.0), (2.425, 2.425, 2.425), None, None, None), ( 10, 'cashbotHQ', 'MoneyStackPallet', (94.762, 80.424, 0.25), (378.0, 0.0, 0.0), (2.425, 2.425, 2.425), None, None, None), ( 10, 'cashbotHQ', 'CashBotSafe', (152.787, 77.659, 0.25), (369.0, 0.0, 0.0), (1.0, 1.0, 1.0), None, None, None), ( 10, 'cashbotHQ', 'CashBotSafe', (167.633, 76.774, 0.25), (352.5, 0.0, 0.0), (1.0, 1.0, 1.0), None, None, None), ( 10, 'cashbotHQ', 'MoneyStackPallet', (232.506, -16.91, 0.25), (334.5, 0.0, 0.0), (2.4, 2.4, 2.4), None, None, None), ( 10, 'cashbotHQ', 'shelf_A1', (262.684, 171.426, 0.25), (312.0, 0.0, 0.0), (2.4, 2.4, 2.4), None, None, None), ( 10, 'cashbotHQ', 'shelf_A1MoneyBags', (280.169, 125.461, 0.25), (289.5, 0.0, 0.0), (2.4, 2.4, 2.4), None, None, None), ( 10, 'cashbotHQ', 'VaultDoorCover', (168.327, 284.185, 0.25), (328.5, 0.0, 0.0), (2.4, 2.4, 2.4), None, None, None), ( 10, 'cashbotHQ', 'shelf_A1Gold', (130.324, 297.732, 0.25), (337.5, 0.0, 0.0), (2.4, 2.4, 2.4), None, None, None), ( 10, 'cashbotHQ', 'shelf_A1Gold', (94.847, 312.427, 0.25), (340.5, 0.0, 0.0), (2.4, 2.4, 2.4), None, None, None), ( 10, 'cashbotHQ', 'shelf_A1Gold', (56.096, 316.298, 0.25), (345.0, 0.0, 0.0), (2.4, 2.4, 2.4), None, None, None), ( 6, 'cogHQ', 'WaterTowerSimple', (-43.383, -149.335, 0.0), (28.5, 0.0, 0.0), (1.0, 1.0, 1.0), None, None, None), ( 6, 'cogHQ', 'WaterTowerSimple', (-84.082, -125.941, 0.0), (-12.0, 0.0, 0.0), (1.2, 1.2, 1.2), None, None, None), ( 9, 'cogHQ', 'woodCrateB', (-106.023, -12.046, 0.0), (3.0, 0.0, 0.0), (2.5, 2.5, 2.5), None, None, None), ( 9, 'cogHQ', 'CogDoorHandShake', (-233.571, 146.487, 0.0), (58.5, 0.0, 0.0), (2.5, 2.5, 2.5), None, None, None), ( 10, 'cashbotHQ', 'CBWoodCrate', (-112.604, -121.894, 0.15), (31.5, 0.0, 0.0), (2.5, 2.5, 2.5), None, None, None), ( 10, 'cashbotHQ', 'crates_C1', (-152.706, 242.107, 0.15), (52.5, 0.0, 0.0), (2.5, 2.5, 2.5), None, None, None), ( 10, 'cashbotHQ', 'GoldBarStack', (-170.256, 215.103, 0.15), (48.0, 0.0, 0.0), (2.5, 2.5, 2.5), None, None, None), ( 10, 'cashbotHQ', 'MoneyStackPallet', (-186.041, 186.343, 0.15), (48.0, 0.0, 0.0), (2.5, 2.5, 2.5), None, None, None), ( 10, 'cashbotHQ', 'shelf_A1Gold', (-249.959, 76.956, 0.15), (67.5, 0.0, 0.0), (2.5, 2.5, 2.5), None, None, None), ( 11, 'lawbotHQ', 'LB_paper_stacks', (-159.375, 13.489, 0.15), (45.0, 0.0, 0.0), (1.875, 1.875, 1.875), None, None, None), ( 9, 'cogHQ', 'old_sky', (0.0, 0.0, 378.952), (15.5, 0.0, 0.0), (1.475, 1.475, 1.475), None, None, None)] class MoneybinTakeover: def __init__(self): base.camLens.setFov(60) self.modelList = [] self.moneyBinTheme = None self.moneyBinTakeOver = None self.moneybin = None self.cogbin = None self.cogArea = None self.cogSky = None return def generate(self): def addModels(PROPS, parent, children=False, strong=None): for prop in PROPS: if children: if prop[6]: if prop[0] == 'custom': model = loader.loadModel('custom/models/%s/%s.egg' % (prop[1], prop[2])).find('**/%s' % prop[6]) else: model = loader.loadModel('phase_%s/models/%s/%s' % (prop[0], prop[1], prop[2])).find('**/%s' % prop[6]) elif prop[0] == 'custom': model = loader.loadModel('custom/models/%s/%s.egg' % (prop[1], prop[2])) else: model = loader.loadModel('phase_%s/models/%s/%s' % (prop[0], prop[1], prop[2])) else: if prop[0] == 'custom': model = loader.loadModel('custom/models/%s/%s.egg' % (prop[1], prop[2])) else: model = loader.loadModel('phase_%s/models/%s/%s' % (prop[0], prop[1], prop[2])) model.reparentTo(parent) model.setPos(prop[3]) model.setHpr(prop[4]) model.setScale(prop[5]) self.modelList.append(model) if prop[7]: model.setColorScale(prop[7]) if prop[8]: texture = loader.loadTexture(prop[8]) model.setTexture(texture, 1) if strong: model.flattenStrong() self.moneyBinTheme = loader.loadMusic('phase_14.5/audio/bgm/SB_hub.ogg') self.moneyBinTakeOver = loader.loadMusic('phase_14.5/audio/sfx/SB_Takeover.ogg') self.cogArea = render.attachNewNode('cogArea') self.cogArea.setZ(150) self.cogArea.hide() self.cogArea.setColorScale(1, 0.912, 0.863, 1) self.cogSky = loader.loadModel('phase_9/models/cogHQ/old_sky') self.cogSky.reparentTo(render) self.cogSky.setPosHprScale(0, 0, 378.952, 15.5, 0, 0, 1.475, 1.475, 1.475) self.cogSky.hide() self.modelList.append(self.cogSky) self.modelList.append(self.cogArea) addModels(PROPS, self.cogArea, children=True) self.setUpStreet() loader.loadDNAFile(base.cr.playGame.hood.dnaStore, 'phase_8/dna/storage_ODG.jazz') loader.loadDNAFile(base.cr.playGame.hood.dnaStore, 'phase_4/dna/storage.jazz') loader.loadDNAFile(base.cr.playGame.hood.dnaStore, 'phase_4/dna/storage_TT_sz.jazz') self.moneybin = loader.loadDNAFile(base.cr.playGame.hood.dnaStore, 'phase_14/dna/tt_dg_moneybin_area.jazz') self.moneybin = NodePath(self.moneybin) self.moneybin.setH(90) self.moneybin.reparentTo(render) self.modelList.append(self.moneybin) self.sky = loader.loadModel('phase_3.5/models/props/TT_sky') self.sky.setScale(2.42) self.sky.reparentTo(render) self.cogbin = loader.loadModel('phase_14/models/modules/cogbin') self.cogbin.reparentTo(render) self.cogbin.setPosHprScale(0.0, 2.16, 150, 0.0, 0.0, 0.0, 1.38, 1.38, 1.38) self.cogbin.hide() self.modelList.append(self.cogbin) groundTexture = loader.loadTexture('phase_9/maps/ground7.jpg') sidewalkTexture = loader.loadTexture('phase_9/maps/CementFloorx4Warm.jpg') self.robberbaron = ToontownAvatarUtils.createDistributedCog('rb', 0.0, -48.43, 16.999, 0.0, 0.0, 0.0, level=12) streetTrack = Parallel() for street in ['street_80x40_sidewalk', 'street_80x40_curb', 'street_80x40_street', 'street_25x40_street', 'street_25x40_sidewalk', 'street_25x40_curb']: for node in render.findAllMatches('**/%s' % street): streetTrack.append(Func(node.setTexture, groundTexture, 1)) streetTrack.append(Func(node.setTexture, sidewalkTexture, 1)) streetTrack.append(Func(node.setTexture, sidewalkTexture, 1)) moneybinTrack = Parallel(self.moneybin.find('**/moneybin1').colorScaleInterval(4.2, (0, 0, 0, 1)), self.moneybin.find('**/moneybin1').colorScaleInterval(4.2, (0, 0, 0, 1)), Sequence(Wait(1.75), Parallel(Sequence(Parallel(self.moneybin.find('**/moneybin1').scaleInterval(3.75, (1, 1, 0.001)), self.moneybin.find('**/flowers').scaleInterval(3.75, (1, 1, 0.001)), self.moneybin.find('**/trees').scaleInterval(3.75, (1, 1, 0.001)), self.moneybin.find('**/tag_arena_wall').scaleInterval(3.75, (1, 1, 0.001)), self.moneybin.find('**/out_arena_trees_1').scaleInterval(3.75, (1, 1, 0.001)), self.moneybin.find('**/out_arena_trees_2').scaleInterval(3.75, (1, 1, 0.001))), Func(self.moneybin.find('**/moneybin1').removeNode), Func(self.moneybin.find('**/flowers').removeNode), Func(self.moneybin.find('**/trees').removeNode), Func(self.moneybin.find('**/tag_arena_wall').removeNode), Func(self.moneybin.find('**/out_arena_trees_1').removeNode), Func(self.moneybin.find('**/out_arena_trees_2').removeNode))))) cogBinTrack = Parallel(Func(self.cogbin.show), Func(self.cogArea.show), Func(self.sky.removeNode), Func(self.cogSky.show), Func(self.songRateChange, self.moneyBinTheme), Sequence(Parallel(self.cogbin.posInterval(5.0, (0.0, 2.16, 16.3)), self.cogArea.posInterval(5.0, (0.0, 2.16, 0.0))), Parallel(Sequence(LerpScaleInterval(self.cogbin, 0.45, (1.38, 1.38, 1.1), blendType='easeInOut'), LerpScaleInterval(self.cogbin, 0.6, (1.38, 1.38, 1.6), blendType='easeInOut'), LerpScaleInterval(self.cogbin, 0.7, (1.38, 1.38, 1.28), blendType='easeInOut'), LerpScaleInterval(self.cogbin, 0.75, (1.38, 1.38, 1.38), blendType='easeInOut')), Sequence(LerpScaleInterval(self.cogArea, 0.45, (1.0, 1.0, 0.7), blendType='easeInOut'), LerpScaleInterval(self.cogArea, 0.6, (1.0, 1.0, 1.3), blendType='easeInOut'), LerpScaleInterval(self.cogArea, 0.7, (1.0, 1.0, 0.9), blendType='easeInOut'), LerpScaleInterval(self.cogArea, 0.75, (1.0, 1.0, 1.0), blendType='easeInOut'))))) self.cameraTrack = Sequence(Func(self.robberbaron.setPosHpr, 0.0, -48.43, 16.999, 0.0, 0.0, 0.0), Func(base.camera.setPosHpr, -90.37, -95.11, 20.3, -154, 0.0, 0.0), Parallel(Sequence(Wait(1.0), self.robberbaron.beginSupaFlyMove(VBase3(0.0, -48.43, 16.999), 1, 'flyIn', walkAfterLanding=False)), LerpPosHprInterval(base.camera, 8.0, (-34.39, -28.71, 25.038), (-130, -0.6, 0.0), blendType='easeInOut')), Func(base.camera.setPosHpr, 27.945, -83.46, 17.402, 34.5, 8.24, 4.5), Func(self.robberbaron.loop, 'walk'), self.robberbaron.posHprInterval(2.5, (0.0, -27.43, 21.398), (0.0, 0.0, 0.0)), self.robberbaron.posHprInterval(1.5, (0.0, -9, 21.398), (0.0, 0.0, 0.0)), Func(base.camera.setPosHpr, 2.4331, -238.5, 20.352, -1.7, 11.8, 9.0), Func(self.robberbaron.delete), Wait(5.0), Func(base.localAvatar.brickLay, 'cog'), Func(self.moneybin.find('**/ground').setTexture, groundTexture, 1), Func(self.moneybin.find('**/moneybin_hill').setTexture, groundTexture, 1), Func(self.moneybin.find('**/ground').setColor, 1, 1, 1, 1), Func(self.moneybin.find('**/moneybin_hill').setColor, 1, 1, 1, 1), Func(self.moneyBinTheme.stop), Func(self.moneyBinTakeOver.play), Func(base.camera.setPosHpr, 131.27, -382.0, 78.261, 19.1, -5.1, 0.0), streetTrack) self.buildingTrack = Sequence(Wait(12.0), Parallel(moneybinTrack, cogBinTrack, Sequence(Wait(8.0), Func(base.transitions.fadeOut, 2.0), Wait(2.0), Func(self.cleanupScene)))) self.animation = Parallel(Func(self.moneyBinTheme.play), self.cameraTrack, self.buildingTrack) self.animation.start() return def songRateChange(self, song): rateTrack = Sequence() playRate = 1.0 for rate in xrange(0, 101): rateTrack.append(Func(song.setPlayRate, playRate)) rateTrack.append(Wait(0.05)) playRate -= 0.01 rateTrack.append(Func(song.stop)) rateTrack.start() def setUpStreet(self): for dept in ['sales', 'money', 'corp', 'legal']: for spot in render.findAllMatches('**/suit_landmark_new_%s_door_origin' % dept): elevator = loader.loadModel('phase_4/models/modules/elevator') elevator.reparentTo(spot) randomFloor = random.randint(3, 5) hideList = 5 for light in range(1, 6): elevator.find('**/floor_light_%s' % light).setColor(0.5, 0.5, 0.5, 1) if hideList != randomFloor: elevator.find('**/floor_light_%s' % hideList).hide() hideList = hideList - 1 sign = loader.loadModel('phase_5/models/modules/suit_sign') sign.reparentTo(spot) sign.setPos(0, -0.1, 12.5) sign.setScale(5) for spot in render.findAllMatches('**/suit_landmark_money2_door_origin'): elevator = loader.loadModel('phase_4/models/modules/elevator') elevator.reparentTo(spot) randomFloor = random.randint(2, 5) hideList = 5 for light in range(1, 6): elevator.find('**/floor_light_%s' % light).setColor(0.5, 0.5, 0.5, 1) if hideList != randomFloor: elevator.find('**/floor_light_%s' % hideList).hide() hideList = hideList - 1 sign = loader.loadModel('phase_5/models/modules/suit_sign') sign.reparentTo(spot) sign.setPos(0, -0.1, 11.5) sign.setScale(5) def cleanupScene(self): for model in self.modelList: model.removeNode() del model

106.868421

1,168

0.264664

3,063

40,610

3.450212

0.169442

0.064156

0.059614

0.049205

0.577687

0.541067

0.478142

0.428842

0.393547

0.385125

0

0.182109

0.630313

40,610

380

1,169

106.868421

0.521814

0

0.286104

0

0.073945

0.017261

0

1

0.016349

false

0

0.00545

0

0.029973

0

null

0

1

0

1

0

null

0

3

37175535dd73bb85ce801f6d71053f502d010455

459

py

Python

sesame/utils.py

GamePad64/django-sesame

9d6144110b2cd74cca4e58273926b111eadb3f03

[ "BSD-3-Clause" ]

null

sesame/utils.py

GamePad64/django-sesame

9d6144110b2cd74cca4e58273926b111eadb3f03

[ "BSD-3-Clause" ]

null

sesame/utils.py

GamePad64/django-sesame

9d6144110b2cd74cca4e58273926b111eadb3f03

[ "BSD-3-Clause" ]

null

from __future__ import unicode_literals from .backends import UrlAuthBackendMixin from .compatibility import urlencode from .middleware import TOKEN_NAME def get_parameters(user): """ Return GET parameters to log in `user`. """ return {TOKEN_NAME: UrlAuthBackendMixin().create_token(user)} def get_query_string(user): """ Return a complete query string to log in `user`. """ return '?' + urlencode(get_parameters(user))

20.863636

65

0.718954

55

459

5.781818

0.454545

0.125786

0.106918

0.069182

0.106918

0

0.187364

459

21

66

21.857143

0.852547

0.191721

0

0.002959

0

1

0.25

false

0

0.5

0

1

0

null

0

null

0

1

0

1

0

1

0

3

37218dc001152be9a5cbbcb8a62c2a58d5ca62fb

287

py

Python

yard/skills/66-python/cookbook/yvhai/demo/input/xml.py

paser4se/bbxyard

d09bc6efb75618b2cef047bad9c8b835043446cb

[ "Apache-2.0" ]

1

2016-03-29T02:01:58.000Z

yard/skills/66-python/cookbook/yvhai/demo/input/xml.py

paser4se/bbxyard

d09bc6efb75618b2cef047bad9c8b835043446cb

[ "Apache-2.0" ]

18

2019-02-13T09:15:25.000Z

2021-12-09T21:32:13.000Z

yard/skills/66-python/cookbook/yvhai/demo/input/xml.py

paser4se/bbxyard

d09bc6efb75618b2cef047bad9c8b835043446cb

[ "Apache-2.0" ]

2

2020-07-05T01:01:30.000Z

2020-07-08T22:33:06.000Z

#!/usr/bin/env python3 # xml 资源 xml_w3_book = """ <?xml version="1.0" encoding="ISO-8859-1"?> <bookstore> <book> <title lang="eng">Harry Potter</title> <price>29.99</price> </book> <book> <title lang="eng">Learning XML</title> <price>39.95</price> </book> </bookstore> """

13.045455

43

0.620209

43

287

4.093023

0.604651

0.102273

0.147727

0.181818

0

0.068826

0.139373

287

21

44

13.666667

0.643725

0.097561

1

0.307692

0

0.902724

0.089494

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

3

2e92110a4acf5b4d90f4de3ae5d754fd4d0bda47

292

py

Python

integration/tests_ok/user_agent.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

integration/tests_ok/user_agent.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

integration/tests_ok/user_agent.py

jleverenz/hurl

b81ca8ab7e0e409ec0c074fd8e118721ff4d3fb3

[ "Apache-2.0" ]

null

from app import app from flask import request @app.route("/user-agent/a") def useragent_a(): assert "Mozilla/5.0 A" == request.headers["User-Agent"] return "" @app.route("/user-agent/b") def useragent_b(): assert "Mozilla/5.0 B" == request.headers["User-Agent"] return ""

19.466667

59

0.657534

44

292

4.318182

0.409091

0.189474

0.126316

0.178947

0.305263

0

0.016393

0.164384

292

14

60

20.857143

0.762295

0

0.2

0

0.246575

0

0.2

1

0.2

true

0

0.2

0

0.6

0

null

0

1

0

null

0

1

0

1

0

3

2ea7b1e2f8c9260e23fc9fd591de1116fc926068

332

py

Python

gsheetsdb/types.py

tim-werner/gsheets-db-api

12f2a4fbe1bd5aa36781226759326ce782b08a91

[ "MIT" ]

176

2018-09-11T12:29:00.000Z

2022-03-26T19:33:31.000Z

gsheetsdb/types.py

tim-werner/gsheets-db-api

12f2a4fbe1bd5aa36781226759326ce782b08a91

[ "MIT" ]

16

2018-09-14T18:11:09.000Z

2022-03-08T20:17:56.000Z

gsheetsdb/types.py

tim-werner/gsheets-db-api

12f2a4fbe1bd5aa36781226759326ce782b08a91

[ "MIT" ]

14

2019-01-10T16:40:25.000Z

2021-07-27T01:22:58.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from enum import Enum class Type(Enum): STRING = 'string' NUMBER = 'number' BOOLEAN = 'boolean' DATE = 'date' DATETIME = 'datetime' TIMEOFDAY = 'timeofday'

20.75

39

0.73494

38

332

5.921053

0.473684

0.177778

0.284444

0

0.201807

332

15

40

22.133333

0.849057

0

0.120482

0

1

0

false

0

0.416667

0

1

0.083333

0

null

0

1

0

null

0

1

0

1

0

3

2ecf02de134bbfb63253edf9f0df0a07e83ef05f

239

py

Python

src/check_ids.py

lubianat/complex_bot

e0ddabcc0487c52b14fb94950c5a812f0bdb2283

[ "MIT" ]

1

2021-10-06T00:21:10.000Z

src/check_ids.py

lubianat/complex_bot

e0ddabcc0487c52b14fb94950c5a812f0bdb2283

[ "MIT" ]

14

2021-01-15T21:51:38.000Z

2021-11-10T10:08:22.000Z

src/check_ids.py

lubianat/complex_bot

e0ddabcc0487c52b14fb94950c5a812f0bdb2283

[ "MIT" ]

1

2021-01-18T10:32:56.000Z

import pandas as pd from wikidataintegrator import wdi_login import utils from login import WDPASS, WDUSER import argparse import sys parser = argparse.ArgumentParser() df = utils.get_complex_portal_species_ids() print(df.to_markdown())

21.727273

43

0.824268

34

239

5.617647

0.705882

0.115183

0

0.117155

239

11

44

21.727273

0.905213

0

1

0

false

0.111111

0.666667

0

0.666667

0.111111

0

null

0

null

0

1

0

1

0

3

2ef007f96300135913374e66f242b4d7ad638d34

937

py

Python

env/Lib/site-packages/OpenGL/GL/ARB/shader_clock.py

5gconnectedbike/Navio2

8c3f2b5d8bbbcea1fc08739945183c12b206712c

[ "BSD-3-Clause" ]

210

2016-04-09T14:26:00.000Z

2022-03-25T18:36:19.000Z

env/Lib/site-packages/OpenGL/GL/ARB/shader_clock.py

5gconnectedbike/Navio2

8c3f2b5d8bbbcea1fc08739945183c12b206712c

[ "BSD-3-Clause" ]

72

2016-09-04T09:30:19.000Z

2022-03-27T17:06:53.000Z

env/Lib/site-packages/OpenGL/GL/ARB/shader_clock.py

5gconnectedbike/Navio2

8c3f2b5d8bbbcea1fc08739945183c12b206712c

[ "BSD-3-Clause" ]

64

2016-04-09T14:26:49.000Z

2022-03-21T11:19:47.000Z

'''OpenGL extension ARB.shader_clock This module customises the behaviour of the OpenGL.raw.GL.ARB.shader_clock to provide a more Python-friendly API Overview (from the spec) This extension exposes a 64-bit monotonically incrementing shader counter which may be used to derive local timing information within a single shader invocation. The official definition of this extension is available here: http://www.opengl.org/registry/specs/ARB/shader_clock.txt ''' from OpenGL import platform, constant, arrays from OpenGL import extensions, wrapper import ctypes from OpenGL.raw.GL import _types, _glgets from OpenGL.raw.GL.ARB.shader_clock import * from OpenGL.raw.GL.ARB.shader_clock import _EXTENSION_NAME def glInitShaderClockARB(): '''Return boolean indicating whether this extension is available''' from OpenGL import extensions return extensions.hasGLExtension( _EXTENSION_NAME ) ### END AUTOGENERATED SECTION

32.310345

71

0.803629

132

937

5.621212

0.537879

0.080863

0.09434

0.056604

0.128032

0.09434

0

0.002469

0.135539

937

29

72

32.310345

0.91358

0.61793

0

1

0.111111

true

0

0.777778

0

1

0

null

0

null

0

1

0

1

0

1

0

3

2ef1c30c2a21d30607beca0e47199956e827e7ca

234

py

Python

tuiuiu/tuiuiuadmin/tests/api/utils.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

3

2019-08-08T09:09:35.000Z

2020-12-15T18:04:17.000Z

tuiuiu/tuiuiuadmin/tests/api/utils.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

null

tuiuiu/tuiuiuadmin/tests/api/utils.py

caputomarcos/tuiuiu.io

d8fb57cf95487e7fe1454b2130ef18acc916da46

[ "BSD-3-Clause" ]

1

2017-09-09T20:10:40.000Z

from __future__ import absolute_import, unicode_literals from django.test import TestCase from tuiuiu.tests.utils import TuiuiuTestUtils class AdminAPITestCase(TestCase, TuiuiuTestUtils): def setUp(self): self.login()

21.272727

56

0.790598

27

234

6.62963

0.703704

0

0.149573

234

10

57

23.4

0.899497

0

1

0.166667

false

0

0.5

0

0.833333

0

1

0

null

0

null

0

1

0

1

0

3

2ef92842a29485830b7dc96257442537b474a8cf

1,243

py

Python

app/backend/queries/mysql.py

sesam-community/autoconnect

1f0a4630ca77cc3cf5786de0bb4686b05bd0f0bb

[ "Apache-2.0" ]

null

app/backend/queries/mysql.py

sesam-community/autoconnect

1f0a4630ca77cc3cf5786de0bb4686b05bd0f0bb

[ "Apache-2.0" ]

null

app/backend/queries/mysql.py

sesam-community/autoconnect

1f0a4630ca77cc3cf5786de0bb4686b05bd0f0bb

[ "Apache-2.0" ]

1

2021-02-18T15:15:01.000Z

def table_pkey(table): query = f"""SELECT KU.table_name as TABLENAME,column_name as PRIMARYKEYCOLUMN FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS AS TC INNER JOIN INFORMATION_SCHEMA.KEY_COLUMN_USAGE AS KU ON TC.CONSTRAINT_TYPE = 'PRIMARY KEY' AND TC.CONSTRAINT_NAME = KU.CONSTRAINT_NAME AND KU.table_name='{table}' ORDER BY KU.TABLE_NAME,KU.ORDINAL_POSITION LIMIT 1;""" return query def get_fkey_relations(db_name, table): query = f"""SELECT TABLE_NAME, COLUMN_NAME, REFERENCED_TABLE_NAME, REFERENCED_COLUMN_NAME FROM INFORMATION_SCHEMA.KEY_COLUMN_USAGE WHERE REFERENCED_TABLE_SCHEMA = '{db_name}' AND REFERENCED_TABLE_NAME = '{table}';""" return query def get_index_info(db_name): query = f"""SELECT DISTINCT TABLE_NAME, COLUMN_NAME FROM INFORMATION_SCHEMA.STATISTICS WHERE TABLE_SCHEMA = '{db_name}';""" return query def get_table_columns_for_indexing(table): query = f"select column_name FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_NAME = '{table}';" return query def get_table_ref_idx(index_table, table, index_column, column): sql = f"SELECT * FROM {index_table}, {table} WHERE {index_table}.{index_column} = {table}.{column} LIMIT 500;" return sql

47.807692

143

0.745776

177

1,243

4.932203

0.282486

0.082474

0.054983

0.077892

0.260023

0.071019

0

0.003839

0.161706

1,243

26

144

47.807692

0.833973

0

0.210526

0

0.105263

0.691318

0.284566

0

1

0.263158

false

0

0.526316

0

null

0

1

0

null

0

1

0

1

0

3

2c0300ca0658c1688971286bba3169afb2699074

1,911

py

Python

controllers/task_handler.py

MuhammadWaleedUsman/PythonTornadoDockerTraefikMySql

29d7a72c30a96f4eaf9174fdf29fd06fb48e7974

[ "Apache-2.0" ]

null

controllers/task_handler.py

MuhammadWaleedUsman/PythonTornadoDockerTraefikMySql

29d7a72c30a96f4eaf9174fdf29fd06fb48e7974

[ "Apache-2.0" ]

null

controllers/task_handler.py

MuhammadWaleedUsman/PythonTornadoDockerTraefikMySql

29d7a72c30a96f4eaf9174fdf29fd06fb48e7974

[ "Apache-2.0" ]

null

from .db_handler import cursor from tornado import concurrent import tornado.web executor = concurrent.futures.ThreadPoolExecutor(8) def start_task(arg): print("The Task has started") # Async task return True def stop_task(arg): print("The Task has stopped") # Async task return True class HandlerStart(tornado.web.RequestHandler): def post(self, username): cursor.execute("SELECT * FROM users") users = cursor.fetchall() user_names = [] if users: keys = ("id", "name", "email") list_of_users = [dict(zip(keys, values)) for values in users] for user in list_of_users: user_names.append(user['name']) if username in set(user_names): flag = True else: flag = False else: flag = False if flag: executor.submit(start_task, username) response = "started" else: response = "User Doesn't exist" self.write('request accepted |' + str(username) + ' | ' + str(response)) class HandlerStop(tornado.web.RequestHandler): def post(self, username): cursor.execute("SELECT * FROM users") users = cursor.fetchall() user_names = [] if users: keys = ("id", "name", "email") list_of_users = [dict(zip(keys, values)) for values in users] for user in list_of_users: user_names.append(user['name']) if username in set(user_names): flag = True else: flag = False else: flag = False if flag: executor.submit(stop_task, username) response = "stopped" else: response = "User Doesn't exist" self.write('request accepted |' + str(username) + ' | ' + str(response))

29.4

80

0.55259

211

1,911

4.914692

0.303318

0.052073

0.04243

0.02893

0.734812

0.692382

0

0.000798

0.344322

1,911

64

81

29.859375

0.826816

0.010989

0

0.740741

0

0.105988

0

1

0.074074

false

0

0.055556

0

0.203704

0.037037

0

null

0

1

0

1

0

1

0

null

0

3

2c0432e1308cc8fe3207fb79660271c04e458a71

666

py

Python

Python/WordBreak.py

Jspsun/LEETCodePractice

9dba8c0441201a188b93e4d39a0a9b7602857a5f

[ "MIT" ]

3

2017-10-14T19:49:28.000Z

2019-01-12T21:51:11.000Z

Python/WordBreak.py

Jspsun/LEETCodePractice

9dba8c0441201a188b93e4d39a0a9b7602857a5f

[ "MIT" ]

null

Python/WordBreak.py

Jspsun/LEETCodePractice

9dba8c0441201a188b93e4d39a0a9b7602857a5f

[ "MIT" ]

5

2017-02-06T19:10:23.000Z

2020-12-19T01:58:10.000Z

class Solution(object): def wordBreak(self, s, wordDict): """ :type s: str :type wordDict: List[str] :rtype: bool """ dp = [False for i in xrange(len(s)+1)] dp[0] = True for i in range(1, len(s)+1): for w in wordDict: if len(w)<= i and dp[i-len(w)]: if s[i-len(w):i]==w: dp[i] = True break return dp[-1] print Solution().wordBreak("leetcode", ["leet","code"])==True print Solution().wordBreak("leetcode", ["wowwwww","caode"])==False print Solution().wordBreak("aaaaaaa", ["aaaa","aa"])==False

31.714286

66

0.478979

85

666

3.752941

0.447059

0.037618

0.206897

0.188088

0

0.011468

0.345345

666

21

67

31.714286

0.720183

0

0.085069

0

null

0

null

0.214286

0

null

0

1

0

null

0

1

0

3

25cbeb75700cfc7ba35658909719975df140adca

6,215

py

Python

tests/test_algorithms/test_sutherland_hodgman.py

Huite/numba_celltree

f6562153fb09468c64c6594b5ed4c48ce827997a

[ "MIT" ]

2

2021-08-30T08:44:45.000Z

2021-08-30T11:55:25.000Z

tests/test_algorithms/test_sutherland_hodgman.py

Deltares/numba_celltree

898c54a18731e56407d03636f7f18e67d84a1f00

[ "MIT" ]

null

tests/test_algorithms/test_sutherland_hodgman.py

Deltares/numba_celltree

898c54a18731e56407d03636f7f18e67d84a1f00

[ "MIT" ]

null

"""" Test data generated with: ```python import numpy as np import shapely.geometry as sg def ccw(a): # Ensure triangles are counter-clockwise for i in range(len(a)): t = a[i] normal = (t[1][0] - t[0][0])*(t[2][1]-t[0][1])-(t[1][1]-t[0][1])*(t[2][0]-t[0][0]) if normal < 0: a[i] = t[::-1] def area_of_intersection(a, b): ntriangles = a.shape[0] out = np.empty(ntriangles, dtype=np.float64) for i in range(ntriangles): aa = sg.Polygon(a[i]) bb = sg.Polygon(b[i]) out[i] = aa.intersection(bb).area return out a = np.random.rand(10, 3, 2) b = np.random.rand(10, 3, 2) ccw(a) ccw(b) expected = area_of_intersection(a, b) ``` """ import numpy as np from numba_celltree.algorithms.sutherland_hodgman import ( area_of_intersection, box_area_of_intersection, intersection, polygon_polygon_clip_area, ) from numba_celltree.constants import FloatDType, Point, Vector A = np.array( [ [[0.98599114, 0.16203056], [0.64839124, 0.6552714], [0.44528724, 0.88567472]], [[0.96182162, 0.3642742], [0.03478739, 0.54268026], [0.57582971, 0.41541277]], [[0.32556365, 0.03800701], [0.74000686, 0.04684465], [0.89527188, 0.55061165]], [[0.2988294, 0.96608896], [0.01212383, 0.00144037], [0.75113002, 0.54797261]], [[0.06522962, 0.43735202], [0.791499, 0.5229509], [0.40651803, 0.94317979]], [[0.06544202, 0.16735701], [0.67916353, 0.95843272], [0.33545733, 0.86368003]], [[0.43129575, 0.27998206], [0.49468229, 0.75438255], [0.01542992, 0.80696797]], [[0.29449023, 0.32433138], [0.46157048, 0.22492393], [0.82442969, 0.75853821]], [[0.66113797, 0.88485505], [0.70164374, 0.24393423], [0.89565423, 0.89407158]], [[0.92226655, 0.82771688], [0.42243438, 0.17562404], [0.82885357, 0.17541439]], ], ) B = np.array( [ [[0.8141854, 0.06821897], [0.37086004, 0.49067617], [0.79810508, 0.07873283]], [[0.74948185, 0.8942076], [0.59654411, 0.87755533], [0.3023107, 0.68256513]], [[0.46670989, 0.31716127], [0.68408985, 0.75792215], [0.41437824, 0.79509823]], [[0.60715923, 0.67648133], [0.40045464, 0.79676831], [0.06332723, 0.69679141]], [[0.24057248, 0.16433727], [0.58871277, 0.05499277], [0.59144784, 0.24476056]], [[0.23183198, 0.41619006], [0.66566902, 0.30110111], [0.60418791, 0.60702136]], [[0.09393344, 0.87976118], [0.994083, 0.00532686], [0.95176396, 0.79836557]], [[0.89063751, 0.5880825], [0.03881315, 0.82436939], [0.61391092, 0.45027842]], [[0.63168954, 0.75135847], [0.8726944, 0.06387274], [0.89585471, 0.92837592]], [[0.94379596, 0.64164962], [0.95787609, 0.65627618], [0.6212529, 0.89153053]], ] ) EXPECTED = np.array( [ 0.0, 0.0, 0.0, 0.0262324, 0.0, 0.00038042, 0.03629781, 0.01677156, 0.05417924, 0.00108787, ] ) def test_intersection(): # Intersection a = Point(0.0, 0.0) V = Vector(1.0, 1.0) r = Point(1.0, 0.0) s = Point(0.0, 1.0) U = Vector(s.x - r.x, s.y - r.y) N = Vector(-U.y, U.x) succes, p = intersection(a, V, r, N) assert succes assert np.allclose(p, [0.5, 0.5]) # Parallel lines, no intersection s = Point(2.0, 1.0) U = Vector(s.x - r.x, s.y - r.y) N = Vector(-U.y, U.x) succes, p = intersection(a, V, r, N) assert not succes def test_clip_area(): for a, b, expected in zip(A, B, EXPECTED): actual = polygon_polygon_clip_area(a, b) assert np.allclose(actual, expected) def test_clip_area_no_overlap(): a = np.array( [ [0.0, 0.0], [1.0, 0.0], [1.0, 1.0], ] ) b = a.copy() b += 2.0 actual = polygon_polygon_clip_area(a, b) assert np.allclose(actual, 0) def test_clip_area_repeated_vertex(): a = np.array( [ [0.0, 0.0], [1.0, 0.0], [1.0, 0.0], [1.0, 1.0], ] ) # No overlap b = a.copy() b += 2.0 actual = polygon_polygon_clip_area(a, b) assert np.allclose(actual, 0) b = np.array( [ [0.0, 0.0], [1.0, 0.0], [0.0, 1.0], [0.0, 1.0], ] ) actual = polygon_polygon_clip_area(a, b) def test_clip_area_epsilon(): EPS = np.finfo(FloatDType).eps a = np.array( [ [-1.0, -1.0], [1.0, -1.0], [1.0, 1.0], ] ) b = np.array( [ [-1.0 - EPS, -1.0 - EPS], [1.0 + EPS, -1.0 - EPS], [1.0 + EPS, 1.0 + EPS], ] ) actual = polygon_polygon_clip_area(a, b) assert np.allclose(actual, 2.0) EPS = -EPS b = np.array( [ [-1.0 - EPS, -1.0 - EPS], [1.0 + EPS, -1.0 - EPS], [1.0 + EPS, 1.0 + EPS], ] ) actual = polygon_polygon_clip_area(a, b) assert np.allclose(actual, 2.0) def test_area_of_intersection(): vertices_a = A.reshape(-1, 2) vertices_b = B.reshape(-1, 2) faces_a = np.arange(len(vertices_a)).reshape(-1, 3) faces_b = np.arange(len(vertices_b)).reshape(-1, 3) indices_a = np.arange(len(faces_a)) indices_b = np.arange(len(faces_a)) actual = area_of_intersection( vertices_a, vertices_b, faces_a, faces_b, indices_a, indices_b ) assert np.allclose(actual, EXPECTED) def test_box_area_of_intersection(): box_coords = np.array( [ [0.0, 1.0, 0.0, 1.0], [1.0, 2.0, 1.0, 2.0], ] ) vertices = np.array( [ [0.0, 0.0], [2.0, 0.0], [2.0, 2.0], [-2.0, 0.0], [-2.0, 2.0], ] ) faces = np.array( [ [0, 1, 2], [0, 3, 4], ] ) indices_bbox = np.array([0, 0, 1, 1]) indices_face = np.array([0, 1, 0, 1]) actual = box_area_of_intersection( box_coords, vertices, faces, indices_bbox, indices_face, ) assert np.allclose(actual, [0.5, 0.0, 0.5, 0.0])

26.559829

90

0.524698

925

6,215

3.437838

0.241081

0.032075

0.026415

0.013836

0.303459

0.245597

0.20912

0.183019

0.177673

0

0.303913

0.292679

6,215

233

91

26.67382

0.419472

0.122928

0

0.281609

1

0

0.057471

1

0.04023

false

0

0.017241

0

0.057471

0

null

0

1

0

1

0

1

0

null

0

3

25cd4e9ba282e597a4fa5b69cbe92a7a0be65817

155

py

Python

interpreter/application.py

Jesssullivan/MerlinAI-Interpreters

e2e053f357a74d642b160b42a1276fa44c45614b

[ "Unlicense" ]

3

2019-02-23T03:19:32.000Z

2020-02-12T13:54:02.000Z

interpreter/application.py

Jesssullivan/MerlinAI-Interpreters

e2e053f357a74d642b160b42a1276fa44c45614b

[ "Unlicense" ]

null

interpreter/application.py

Jesssullivan/MerlinAI-Interpreters

e2e053f357a74d642b160b42a1276fa44c45614b

[ "Unlicense" ]

null

from app.main import create_app from waitress import serve if __name__ == "__main__": app = create_app() serve(app, host='0.0.0.0', port='5000')

19.375

43

0.677419

25

155

3.8

0.52

0.063158

0

0.062992

0.180645

155

7

44

22.142857

0.685039

0

0.123377

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

25da3c1cb459bcee6395b9dfd94dc5a75175e53c

3,183

py

Python

fixtures/db.py

maxteplyakov/learn_python_test_automation

de40804d58ada5f4165ca6a0070bfb4cfca038d9

[ "MIT" ]

null

fixtures/db.py

maxteplyakov/learn_python_test_automation

de40804d58ada5f4165ca6a0070bfb4cfca038d9

[ "MIT" ]

null

fixtures/db.py

maxteplyakov/learn_python_test_automation

de40804d58ada5f4165ca6a0070bfb4cfca038d9

[ "MIT" ]

null

import mysql.connector from models.group import Group from models.contact import Contact class DbFixture(): def __init__(self, host, name, user, password): self.host = host self.name = name self.user = user self.password = password self.connection = mysql.connector.connect( host=host, database=name, user=user, password=password, autocommit=True ) def get_group_list(self): list = [] cursor = self.connection.cursor() try: cursor.execute( "SELECT group_id, group_name, group_header, group_footer " "FROM group_list" ) for row in cursor: (id, name, header, footer) = row list.append( Group(id=str(id), name=name, header=header, footer=footer) ) finally: cursor.close() return list def get_group_by_id(self, id): group = None cursor = self.connection.cursor() try: cursor.execute( "SELECT group_id, group_name, group_header, group_footer " "FROM group_list " f"WHERE group_id={id}" ) # group = Group(id=str(id), name=name, header=header, footer=footer) for row in cursor: (id, name, header, footer) = row group = Group( id=str(id), name=name, header=header, footer=footer ) finally: cursor.close() return group def get_contact_list(self): list = [] cursor = self.connection.cursor() try: cursor.execute( "SELECT id, firstname, lastname, address, email " "FROM addressbook " "WHERE deprecated='0000-00-00 00:00:00'" ) for row in cursor: (id, firstname, lastname, address, email) = row list.append( Contact( id=str(id), first_name=firstname, last_name=lastname, address=address, email1=email ) ) finally: cursor.close() return list def get_contact_by_id(self, id): contact = None cursor = self.connection.cursor() try: cursor.execute( "SELECT id, firstname, lastname, address, email " "FROM addressbook " "WHERE deprecated='0000-00-00 00:00:00' AND id=%s" % id ) for row in cursor: (id, firstname, lastname, address, email) = row contact = Contact( id=str(id), first_name=firstname, last_name=lastname, address=address, email1=email ) finally: cursor.close() return contact def destroy(self): self.connection.close()

30.902913

80

0.473767

301

3,183

4.913621

0.186047

0.021636

0.024341

0.070318

0.707235

0.693712

0.640974

0

0.016854

0.440779

3,183

102

81

31.205882

0.814045

0.020735

0

0.565217

0

0.120706

0.014125

0

1

0.065217

false

0.032609

0

0.152174

0

null

0

1

0

1

0

null

0

3

25ef3cf038f4dc0c0967a72f05b874c0bdc8e6a9

858

py

Python

viberbot/api/viber_requests/viber_seen_request.py

AaganMaskey/viber-bot-python

99224b6c777ee3ac9d26a4b1ccd6ae0193291edb

[ "Apache-2.0" ]

1

2019-12-27T17:02:38.000Z

viberbot/api/viber_requests/viber_seen_request.py

AaganMaskey/viber-bot-python

99224b6c777ee3ac9d26a4b1ccd6ae0193291edb

[ "Apache-2.0" ]

1

2021-06-25T15:17:45.000Z

viberbot/api/viber_requests/viber_seen_request.py

Micuk/viber-bot-python

c090e40a2270f3fec5b5cd34f83334a5797d2bdd

[ "Apache-2.0" ]

null

from future.utils import python_2_unicode_compatible from ..event_type import EventType from viberbot.api.viber_requests.viber_request import ViberRequest class ViberSeenRequest(ViberRequest): def __init__(self): super(ViberSeenRequest, self).__init__(EventType.SEEN) self._message_token = None self._user_id = None def from_dict(self, request_dict): super(ViberSeenRequest, self).from_dict(request_dict) self._message_token = request_dict['message_token'] self._user_id = request_dict['user_id'] return self @property def meesage_token(self): return self._message_token @property def user_id(self): return self._user_id @python_2_unicode_compatible def __str__(self): return u"ViberSeenRequest [{0}, message_token={1}, user_id={2}]" \ .format(super(ViberSeenRequest, self).__str__(), self._message_token, self._user_id)

28.6

87

0.785548

117

858

5.307692

0.324786

0.067633

0.10306

0.077295

0.070853

0

0.00657

0.113054

858

29

88

29.586207

0.809461

0

0.086957

0

0.086247

0

1

0.217391

false

0

0.130435

0.565217

0

null

0

null

0

1

0

1

0

3

d30ac629c524ea866310dba919699e150da5f2f1

7,143

py

Python

server/permatrix.py

osaizar/sand

b98c954090af69410589360a68e68cd10d52f782

[ "Apache-2.0" ]

null

server/permatrix.py

osaizar/sand

b98c954090af69410589360a68e68cd10d52f782

[ "Apache-2.0" ]

null

server/permatrix.py

osaizar/sand

b98c954090af69410589360a68e68cd10d52f782

[ "Apache-2.0" ]

null

import random import numpy as np MATRIX = [(7, 6, 2, 1, 0, 3, 5, 4), (6, 5, 0, 1, 3, 2, 4, 7), (1, 0, 3, 7, 5, 4, 6, 2), (7, 5, 2, 6, 1, 3, 0, 4), (0, 4, 2, 3, 7, 1, 6, 5), (7, 1, 0, 2, 3, 5, 6, 4), (3, 4, 2, 6, 0, 7, 5, 1), (6, 1, 5, 2, 7, 4, 0, 3), (3, 1, 4, 5, 0, 7, 2, 6), (3, 2, 6, 5, 0, 4, 1, 7), (3, 0, 6, 1, 7, 5, 4, 2), (0, 6, 1, 7, 4, 2, 5, 3), (3, 5, 2, 0, 7, 4, 6, 1), (5, 4, 0, 3, 1, 7, 2, 6), (4, 1, 6, 3, 2, 7, 0, 5), (3, 7, 5, 1, 2, 0, 6, 4), (4, 5, 2, 7, 6, 0, 3, 1), (7, 2, 4, 6, 0, 3, 1, 5), (3, 7, 5, 6, 1, 0, 4, 2), (0, 5, 4, 3, 7, 2, 1, 6), (4, 0, 2, 3, 1, 6, 5, 7), (1, 7, 6, 3, 4, 0, 2, 5), (5, 7, 3, 2, 6, 1, 4, 0), (1, 3, 0, 5, 2, 7, 4, 6), (7, 4, 3, 5, 1, 6, 0, 2), (5, 1, 3, 0, 4, 2, 6, 7), (7, 0, 2, 3, 1, 5, 6, 4), (4, 0, 7, 6, 1, 5, 3, 2), (5, 3, 6, 1, 4, 7, 2, 0), (2, 4, 5, 1, 7, 0, 6, 3), (1, 2, 4, 3, 6, 5, 0, 7), (4, 7, 6, 5, 0, 2, 3, 1), (4, 5, 3, 0, 6, 2, 7, 1), (5, 7, 6, 3, 2, 1, 0, 4), (5, 6, 7, 0, 4, 2, 1, 3), (0, 7, 2, 6, 5, 4, 3, 1), (6, 0, 5, 1, 3, 4, 2, 7), (7, 1, 5, 2, 3, 4, 6, 0), (2, 5, 4, 7, 0, 1, 3, 6), (4, 5, 0, 6, 1, 2, 3, 7), (3, 2, 0, 6, 7, 4, 5, 1), (2, 6, 3, 1, 5, 0, 4, 7), (7, 4, 2, 1, 6, 3, 5, 0), (5, 3, 2, 6, 1, 0, 4, 7), (6, 5, 4, 0, 3, 7, 2, 1), (6, 2, 7, 3, 5, 1, 4, 0), (3, 4, 2, 7, 6, 0, 1, 5), (1, 6, 0, 3, 7, 2, 4, 5), (2, 7, 4, 1, 5, 3, 0, 6), (3, 1, 0, 5, 4, 2, 6, 7), (6, 1, 2, 7, 5, 4, 0, 3), (7, 5, 6, 2, 0, 4, 1, 3), (5, 3, 2, 7, 0, 4, 6, 1), (2, 6, 5, 0, 1, 3, 7, 4), (2, 4, 5, 3, 0, 1, 7, 6), (4, 0, 2, 1, 6, 3, 7, 5), (5, 0, 6, 2, 3, 4, 7, 1), (0, 2, 6, 7, 3, 5, 1, 4), (3, 4, 0, 7, 2, 1, 6, 5), (1, 2, 4, 3, 5, 7, 6, 0), (5, 2, 4, 7, 1, 3, 0, 6), (7, 5, 1, 3, 6, 0, 4, 2), (4, 6, 1, 3, 5, 2, 7, 0), (0, 5, 3, 1, 4, 2, 6, 7), (2, 3, 1, 4, 5, 6, 7, 0), (6, 1, 0, 7, 2, 5, 4, 3), (3, 6, 1, 7, 0, 4, 5, 2), (4, 7, 2, 3, 1, 0, 5, 6), (1, 2, 3, 4, 6, 5, 7, 0), (5, 4, 3, 1, 2, 0, 7, 6), (6, 0, 4, 7, 5, 2, 3, 1), (2, 6, 5, 4, 0, 1, 3, 7), (1, 3, 4, 5, 0, 2, 6, 7), (0, 5, 6, 7, 2, 1, 4, 3), (2, 1, 6, 0, 3, 7, 4, 5), (6, 7, 5, 3, 2, 0, 1, 4), (0, 7, 2, 5, 6, 1, 4, 3), (1, 6, 0, 5, 7, 2, 4, 3), (5, 1, 6, 4, 2, 7, 0, 3), (6, 3, 1, 0, 2, 4, 7, 5), (3, 1, 7, 4, 5, 0, 6, 2), (4, 6, 7, 5, 1, 2, 3, 0), (7, 1, 2, 6, 3, 4, 0, 5), (3, 6, 7, 2, 1, 4, 0, 5), (7, 6, 0, 5, 1, 4, 2, 3), (2, 5, 3, 1, 7, 4, 6, 0), (7, 5, 2, 6, 3, 1, 4, 0), (0, 3, 5, 2, 6, 7, 1, 4), (1, 6, 5, 2, 3, 7, 0, 4), (4, 0, 1, 3, 6, 7, 2, 5), (6, 4, 3, 5, 0, 7, 1, 2), (1, 0, 3, 7, 2, 5, 4, 6), (2, 5, 0, 1, 3, 7, 6, 4), (3, 2, 1, 5, 7, 4, 6, 0), (1, 3, 6, 7, 0, 4, 2, 5), (5, 0, 4, 3, 2, 1, 7, 6), (6, 0, 3, 7, 4, 5, 1, 2), (5, 1, 0, 3, 4, 2, 7, 6), (6, 4, 0, 2, 5, 3, 1, 7), (7, 2, 4, 5, 0, 1, 6, 3), (0, 1, 3, 4, 2, 6, 7, 5), (3, 6, 5, 7, 0, 2, 1, 4), (2, 1, 4, 6, 5, 7, 0, 3), (6, 4, 7, 0, 5, 3, 2, 1), (6, 3, 7, 4, 1, 2, 0, 5), (3, 4, 5, 6, 2, 7, 0, 1), (5, 3, 1, 6, 4, 0, 7, 2), (1, 4, 0, 3, 2, 5, 6, 7), (3, 1, 7, 6, 4, 5, 0, 2), (3, 4, 0, 5, 7, 6, 2, 1), (3, 4, 0, 6, 7, 2, 1, 5), (7, 2, 1, 3, 0, 5, 6, 4), (2, 1, 5, 7, 0, 3, 4, 6), (6, 3, 7, 5, 0, 1, 4, 2), (0, 1, 2, 6, 4, 5, 7, 3), (4, 7, 5, 6, 2, 1, 0, 3), (3, 4, 6, 7, 1, 2, 5, 0), (6, 0, 7, 2, 3, 4, 1, 5), (5, 4, 6, 3, 1, 2, 0, 7), (7, 1, 2, 4, 0, 6, 3, 5), (7, 4, 5, 1, 3, 0, 2, 6), (6, 2, 4, 5, 0, 7, 3, 1), (5, 6, 3, 2, 1, 7, 4, 0), (0, 1, 4, 7, 2, 5, 6, 3), (7, 6, 2, 5, 3, 4, 0, 1), (6, 5, 4, 7, 2, 1, 3, 0), (6, 2, 1, 3, 4, 0, 7, 5), (5, 0, 7, 3, 1, 4, 2, 6), (5, 6, 2, 0, 7, 4, 1, 3), (5, 7, 3, 0, 6, 2, 1, 4), (3, 1, 7, 4, 5, 0, 2, 6), (4, 0, 7, 6, 3, 5, 1, 2), (5, 4, 0, 3, 2, 7, 1, 6), (5, 3, 2, 1, 6, 0, 4, 7), (3, 1, 7, 6, 4, 2, 5, 0), (0, 3, 5, 1, 7, 6, 2, 4), (6, 4, 1, 7, 2, 5, 0, 3), (7, 2, 6, 4, 5, 3, 0, 1), (5, 1, 3, 4, 2, 6, 7, 0), (6, 1, 7, 0, 5, 3, 2, 4), (4, 6, 0, 1, 2, 3, 5, 7), (3, 4, 0, 2, 7, 1, 6, 5), (5, 1, 2, 0, 4, 3, 7, 6), (5, 1, 3, 0, 4, 7, 2, 6), (3, 7, 1, 2, 5, 0, 6, 4), (6, 5, 2, 1, 3, 4, 0, 7), (3, 4, 7, 6, 5, 0, 2, 1), (5, 1, 3, 7, 4, 2, 6, 0), (6, 4, 0, 7, 3, 2, 5, 1), (0, 2, 4, 3, 6, 7, 1, 5), (5, 0, 7, 6, 4, 1, 3, 2), (4, 6, 7, 2, 3, 5, 1, 0), (1, 0, 5, 3, 6, 7, 4, 2), (1, 4, 7, 6, 0, 3, 5, 2), (7, 3, 4, 6, 5, 1, 2, 0), (1, 3, 0, 6, 7, 4, 2, 5), (5, 4, 6, 1, 2, 0, 7, 3), (5, 3, 1, 0, 4, 2, 6, 7), (7, 1, 4, 0, 3, 2, 5, 6), (1, 2, 3, 7, 5, 6, 0, 4), (7, 6, 3, 4, 5, 0, 1, 2), (7, 0, 5, 6, 1, 4, 2, 3), (0, 3, 7, 1, 6, 4, 2, 5), (6, 0, 3, 1, 5, 2, 4, 7), (7, 1, 4, 6, 3, 2, 0, 5), (4, 5, 2, 7, 6, 0, 1, 3), (3, 4, 0, 5, 7, 2, 6, 1), (4, 3, 7, 6, 2, 5, 0, 1), (4, 2, 1, 3, 7, 6, 5, 0), (6, 0, 2, 5, 7, 3, 4, 1), (4, 1, 5, 6, 7, 0, 3, 2), (5, 6, 0, 2, 4, 3, 1, 7), (0, 1, 2, 4, 5, 3, 7, 6), (7, 0, 5, 1, 4, 6, 3, 2), (5, 6, 7, 4, 0, 1, 3, 2), (4, 6, 1, 5, 7, 3, 0, 2), (1, 2, 7, 4, 0, 3, 5, 6), (5, 6, 3, 0, 1, 2, 4, 7), (3, 4, 6, 2, 7, 5, 0, 1), (3, 4, 0, 6, 5, 2, 1, 7), (6, 5, 0, 7, 1, 3, 4, 2), (3, 0, 4, 6, 7, 2, 5, 1), (1, 0, 2, 3, 4, 5, 6, 7), (6, 7, 1, 0, 4, 3, 2, 5), (1, 5, 3, 6, 4, 0, 2, 7), (1, 0, 2, 3, 7, 4, 6, 5), (7, 3, 2, 6, 5, 1, 4, 0), (7, 5, 0, 6, 1, 2, 3, 4), (0, 5, 3, 7, 2, 6, 4, 1), (5, 7, 3, 4, 0, 2, 1, 6), (1, 0, 4, 5, 2, 7, 3, 6), (4, 5, 1, 3, 6, 0, 2, 7), (6, 3, 7, 0, 4, 2, 5, 1), (2, 4, 3, 6, 5, 1, 0, 7), (4, 0, 7, 3, 5, 1, 6, 2), (7, 3, 6, 4, 1, 2, 5, 0), (7, 6, 5, 3, 1, 0, 4, 2), (5, 4, 0, 6, 7, 2, 3, 1), (7, 4, 0, 3, 1, 5, 6, 2), (5, 6, 3, 0, 7, 2, 4, 1), (0, 2, 7, 5, 6, 4, 3, 1), (1, 6, 4, 2, 5, 3, 7, 0), (6, 2, 3, 7, 0, 4, 5, 1), (4, 7, 5, 2, 1, 6, 3, 0), (4, 3, 0, 5, 1, 6, 7, 2), (1, 6, 0, 7, 4, 3, 2, 5), (0, 2, 6, 5, 4, 3, 1, 7), (2, 5, 6, 7, 1, 0, 4, 3), (2, 3, 6, 4, 1, 5, 0, 7), (4, 7, 3, 6, 0, 1, 5, 2), (5, 2, 6, 3, 7, 4, 1, 0), (0, 3, 6, 5, 1, 7, 2, 4), (0, 7, 6, 1, 4, 5, 3, 2), (4, 3, 2, 1, 6, 7, 0, 5), (7, 1, 6, 3, 0, 5, 4, 2), (2, 6, 3, 7, 4, 0, 5, 1), (7, 1, 2, 5, 3, 0, 4, 6), (2, 5, 6, 7, 4, 1, 3, 0), (6, 0, 1, 2, 4, 5, 7, 3), (5, 3, 1, 2, 0, 7, 4, 6), (7, 5, 2, 3, 6, 0, 4, 1), (1, 7, 4, 3, 5, 6, 0, 2), (5, 0, 4, 2, 6, 3, 7, 1), (0, 5, 3, 7, 2, 4, 6, 1), (1, 4, 0, 7, 3, 5, 2, 6), (6, 1, 7, 3, 4, 0, 2, 5), (6, 0, 5, 2, 3, 4, 1, 7), (0, 3, 1, 4, 2, 6, 7, 5), (3, 4, 1, 5, 7, 0, 2, 6), (3, 7, 2, 4, 5, 6, 0, 1), (1, 2, 3, 4, 5, 7, 6, 0), (2, 4, 3, 7, 1, 0, 6, 5), (3, 7, 4, 2, 0, 5, 6, 1), (3, 1, 0, 6, 7, 2, 5, 4), (5, 7, 0, 6, 3, 4, 2, 1), (5, 1, 3, 0, 7, 2, 4, 6), (3, 2, 6, 7, 5, 4, 0, 1), (7, 2, 6, 3, 5, 0, 4, 1), (4, 3, 6, 5, 1, 0, 7, 2), (2, 4, 6, 1, 3, 5, 0, 7), (2, 0, 5, 3, 6, 4, 1, 7), (0, 3, 1, 2, 6, 4, 7, 5), (6, 2, 5, 3, 0, 4, 1, 7), (3, 7, 0, 4, 6, 1, 5, 2), (2, 7, 3, 6, 0, 5, 1, 4), (1, 4, 3, 5, 6, 2, 7, 0), (7, 2, 6, 0, 4, 1, 5, 3), (4, 2, 7, 5, 0, 6, 3, 1), (1, 2, 7, 0, 3, 4, 5, 6), (2, 4, 7, 6, 5, 1, 0, 3), (5, 7, 0, 2, 6, 3, 4, 1), (2, 5, 6, 4, 3, 1, 7, 0), (1, 6, 4, 0, 7, 3, 5, 2), (1, 4, 5, 7, 6, 3, 2, 0), (6, 0, 1, 2, 7, 4, 3, 5), (2, 4, 7, 1, 0, 5, 3, 6)] def generate_permatrix(): global MATRIX l = list(range(8)) perm_set = set() while len(perm_set) < 256: random.shuffle(l) perm_set.add(tuple(l)) MATRIX = list(perm_set) for i in MATRIX: print(str(i) + ",") def generate_server_permatrix(): global MATRIX for i in range(len(MATRIX)): elem = np.zeros((8,8), dtype=np.uint8) for j in range(8): elem[j, MATRIX[i].index(j)] = 1 MATRIX[i] = elem generate_server_permatrix()

25.329787

40

0.332773

2,129

7,143

1.112259

0.019728

0.04223

0.017736

0.011824

0.455236

0.128801

0.017736

0

0.410661

0.298754

7,143

281

41

25.419929

0.062088

0

0.007246

0

0.00014

0

1

0.007246

false

0

0.007246

0

0.014493

0.003623

0

1

null

0

1

0

1

0

null

0

3

d318c848b55117fd7c66c4af724183f8868ea105

436

py

Python

src/data_science/data_science/tools/time.py

viclule/api_models_deployment_framework

7595cf0b4f3e277925b968014102d7561547bcd4

[ "MIT" ]

null

src/data_science/data_science/tools/time.py

viclule/api_models_deployment_framework

7595cf0b4f3e277925b968014102d7561547bcd4

[ "MIT" ]

null

src/data_science/data_science/tools/time.py

viclule/api_models_deployment_framework

7595cf0b4f3e277925b968014102d7561547bcd4

[ "MIT" ]

null

from datetime import datetime, timezone def get_timestamp_isoformat(): """ Generate a timestampt in iso format. """ dt = datetime.utcnow().replace(microsecond=0).isoformat("T") + "Z" return dt def get_timestamp_unix(): """ Generate a timestampt in unix format. ########.### """ dt = datetime.utcnow().replace() timestamp = dt.replace(tzinfo=timezone.utc).timestamp() return timestamp

21.8

70

0.637615

49

436

5.591837

0.510204

0.043796

0.109489

0.153285

0.211679

0

0.002915

0.213303

436

19

71

22.947368

0.795918

0.199541

0

1

0

0.006369

0

1

0.25

false

0

0.125

0

0.625

0

null

0

1

0

null

0

1

0

1

0

3

d31a96e194e159ff9f667fe1d5373f70080f5da4

1,127

py

Python

datatracer/foreign_key/base.py

HDI-Project/DataTracer

4bb0906f1716bbcfeb0881cade5d6d47bca90764

[ "MIT" ]

15

2020-05-27T11:55:05.000Z

2022-02-08T11:07:54.000Z

datatracer/foreign_key/base.py

HDI-Project/DataTracer

4bb0906f1716bbcfeb0881cade5d6d47bca90764

[ "MIT" ]

21

2020-06-02T11:56:13.000Z

2021-07-29T21:50:27.000Z

datatracer/foreign_key/base.py

HDI-Project/DataTracer

4bb0906f1716bbcfeb0881cade5d6d47bca90764

[ "MIT" ]

3

2021-01-19T17:10:58.000Z

2021-08-13T20:47:33.000Z

"""Foreign Key Solving base class.""" class ForeignKeySolver(): def fit(self, list_of_databases): """Fit this solver. Args: list_of_databases (list): List of tuples containing ``MetaData`` instnces and table dictinaries, which contain table names as input and ``pandas.DataFrames`` as values. """ pass def solve(self, tables, primary_keys=None): """Solve the foreign key detection problem. The output is a list of foreign key specifications, in order from the most likely to the least likely. Args: tables (dict): Dict containing table names as input and ``pandas.DataFrames`` as values. primary_keys (dict): (Optional). Dictionary of table primary keys, as returned by the Primary Key Solvers. This parameter is optional and not all the subclasses need it. Returns: dict: List of foreign key specifications, sorted by likelyhood. """ raise NotImplementedError()

32.2

91

0.593611

127

1,127

5.220472

0.527559

0.045249

0.051282

0.223228

0.13273

0

0.338953

1,127

34

92

33.147059

0.889933

0.69299

0

1

0.4

false

0.2

0

0.6

0

null

0

null

0

1

0

1

0

1

0

3

d37dcd3460178c5f2fd87503fdb31b744dd39932

779

py

Python

theme_clean/__manifest__.py

YnievesDotNetTeam/addons

2dd619ed7897a61bedef720d73509cb693a7f6cf

[ "MIT" ]

null

theme_clean/__manifest__.py

YnievesDotNetTeam/addons

2dd619ed7897a61bedef720d73509cb693a7f6cf

[ "MIT" ]

null

theme_clean/__manifest__.py

YnievesDotNetTeam/addons

2dd619ed7897a61bedef720d73509cb693a7f6cf

[ "MIT" ]

null

{ 'name': 'Clean Theme', 'description': 'Clean Theme', 'category': 'Theme/Services', 'summary': 'Corporate, Business, Tech, Services', 'sequence': 120, 'version': '2.0', 'author': 'Odoo S.A.', 'depends': ['theme_common', 'website_animate'], 'data': [ 'views/assets.xml', 'views/image_content.xml', 'views/snippets/s_cover.xml', 'views/snippets/s_carousel.xml', 'views/snippets/s_text_image.xml', 'views/snippets/s_three_columns.xml', 'views/snippets/s_call_to_action.xml', ], 'images': [ 'static/description/Clean_description.jpg', 'static/description/clean_screenshot.jpg', ], 'license': 'LGPL-3', 'live_test_url': 'https://theme-clean.odoo.com', }

28.851852

53

0.594352

87

779

5.137931

0.574713

0.107383

0.178971

0.190157

0

0.009901

0.22208

779

26

54

29.961538

0.727723

0

0.08

0

0.648267

0.32991

0

1

0

true

0

null

0

1

0

1

0

null

0

1

0

3

d3921bbf727327b6abcb686de351663bb6fe7b42

181

py

Python

Reinforcement_Learning/gym-environments/setup.py

SpencerPao/ComputerVision

807ce1a1bb651a7a2248f074ab3caab95ea56a96

[ "MIT" ]

1

2021-11-22T21:52:35.000Z

Reinforcement_Learning/gym-environments/setup.py

SpencerPao/ComputerVision

807ce1a1bb651a7a2248f074ab3caab95ea56a96

[ "MIT" ]

2

2021-11-23T02:02:56.000Z

2021-12-19T01:04:38.000Z

Reinforcement_Learning/gym-environments/setup.py

SpencerPao/ComputerVision

807ce1a1bb651a7a2248f074ab3caab95ea56a96

[ "MIT" ]

null

from setuptools import setup setup(name='gym_dinorun', version='0.1', install_requires=['gym', 'selenium', 'numpy', 'pillow', 'pyvirtualdisplay', 'matplotlib'] )

25.857143

95

0.651934

19

181

6.105263

0.894737

0

0.013423

0.176796

181

6

96

30.166667

0.765101

0

0.342541

0

1

0

true

0

0.2

0

0.2

0

1

0

null

0

1

0

null

0

1

0

3

d3963f0cda7e231690d35ea142f4ffd430047c44

144

py

Python

admin-portal/queues/apps.py

oakbani/ksdp-portal

8f44b3cb0081a7f31b9c8121883dd51945a05520

[ "MIT" ]

null

admin-portal/queues/apps.py

oakbani/ksdp-portal

8f44b3cb0081a7f31b9c8121883dd51945a05520

[ "MIT" ]

null

admin-portal/queues/apps.py

oakbani/ksdp-portal

8f44b3cb0081a7f31b9c8121883dd51945a05520

[ "MIT" ]

1

2021-09-19T10:58:17.000Z

from django.apps import AppConfig class QueuesConfig(AppConfig): default_auto_field = "django.db.models.BigAutoField" name = "queues"

20.571429

56

0.756944

17

144

6.294118

0.882353

0

0.152778

144

6

57

24

0.877049

0

0.243056

0.201389

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

d3aa7a46e2eb468c36ac6cd5574de318dee4cff0

283

py

Python

kubernetes_typed/client/models/v1_empty_dir_volume_source.py

nikhiljha/kubernetes-typed

4f4b969aa400c88306f92560e56bda6d19b2a895

[ "Apache-2.0" ]

22

2020-12-10T13:06:02.000Z

2022-02-13T21:58:15.000Z

kubernetes_typed/client/models/v1_empty_dir_volume_source.py

nikhiljha/kubernetes-typed

4f4b969aa400c88306f92560e56bda6d19b2a895

[ "Apache-2.0" ]

4

2021-03-08T07:06:12.000Z

2022-03-29T23:41:45.000Z

kubernetes_typed/client/models/v1_empty_dir_volume_source.py

nikhiljha/kubernetes-typed

4f4b969aa400c88306f92560e56bda6d19b2a895

[ "Apache-2.0" ]

2

2021-09-05T19:18:28.000Z

2022-03-14T02:56:17.000Z

# Code generated by `typeddictgen`. DO NOT EDIT. """V1EmptyDirVolumeSourceDict generated type.""" from typing import TypedDict V1EmptyDirVolumeSourceDict = TypedDict( "V1EmptyDirVolumeSourceDict", { "medium": str, "sizeLimit": str, }, total=False, )

21.769231

48

0.678445

23

283

8.347826

0.782609

0.364583

0

0.013453

0.212014

283

12

49

23.583333

0.847534

0.318021

0

1

0

0.219251

0.139037

0

1

0

false

0

0.111111

0

0.111111

0

1

0

null

1

0

1

0

null

0

3