xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

ee96971fc5dc091f676b0aa6d88c0fa488534c29

180

py

Python

4-1/WIndow Programing/20180316/20125345.py

define16/Class

8b0771a348b2bcb19ba338ebff94326828a293ea

[ "Apache-2.0" ]

null

4-1/WIndow Programing/20180316/20125345.py

define16/Class

8b0771a348b2bcb19ba338ebff94326828a293ea

[ "Apache-2.0" ]

null

4-1/WIndow Programing/20180316/20125345.py

define16/Class

8b0771a348b2bcb19ba338ebff94326828a293ea

[ "Apache-2.0" ]

null

cnt = 1; for i in [10, 2, 7] : print("%d : " % cnt , end = "" ); for j in range(1, i+1, 1) : print("■", end = ""); print(" (%d)" % i); cnt += 1;

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180

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null

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null

0

1

0

3

ee9d84501becf7aee7cf1c6034daf3de1a910759

1,064

py

Python

spec/base.py

ace6807/spec-data-validation-pattern

57c7a757035f16ffa999244175814db0ec3964d9

[ "MIT" ]

1

2021-07-27T00:55:08.000Z

spec/base.py

ace6807/spec-data-validation-pattern

57c7a757035f16ffa999244175814db0ec3964d9

[ "MIT" ]

null

spec/base.py

ace6807/spec-data-validation-pattern

57c7a757035f16ffa999244175814db0ec3964d9

[ "MIT" ]

null

from abc import abstractmethod from dataclasses import dataclass from typing import Any class Spec: @abstractmethod def passes(self, candidate: Any) -> bool: raise NotImplementedError() def __call__(self, candidate: Any) -> bool: return self.passes(candidate) def __and__(self, other: "Spec") -> "And": return And(self, other) def __or__(self, other: "Spec") -> "Or": return Or(self, other) def __neg__(self) -> "Not": return Not(self) @dataclass(frozen=True) class And(Spec): first: Spec second: Spec def passes(self, candidate: Any) -> bool: return self.first.passes(candidate) and self.second.passes(candidate) @dataclass(frozen=True) class Or(Spec): first: Spec second: Spec def passes(self, candidate: Any) -> bool: return self.first.passes(candidate) or self.second.passes(candidate) @dataclass(frozen=True) class Not(Spec): subject: Spec def passes(self, candidate: Any) -> bool: return not self.subject.passes(candidate)

22.166667

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0.658835

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1,064

5.189394

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0.131387

0.116788

0.145985

0.525547

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0.223684

1,064

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78

22.638298

0.829298

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false

0.25

0.09375

0.21875

0.84375

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null

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null

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1

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1

0

1

0

3

eea4241f4f521b3fe349280b8cb510cea4f31976

824

py

Python

scripts/scripts.py

Asion001/Nft

5fce2620be79ea440596cee9c322f3f06251c2b1

[ "MIT" ]

null

scripts/scripts.py

Asion001/Nft

5fce2620be79ea440596cee9c322f3f06251c2b1

[ "MIT" ]

null

scripts/scripts.py

Asion001/Nft

5fce2620be79ea440596cee9c322f3f06251c2b1

[ "MIT" ]

null

from brownie import accounts, network, Wei, project import os, json development_networks = ["development"] def is_development(): return get_network() in development_networks def get_network(): return network.show_active() def get_account(): if is_development(): return accounts[0] else: return accounts.load("test_account") def get_balance(): return get_account().balance() def get_balance_in_eth(): return Wei(get_balance()).to("ether") def get_publish_source(): if is_development(): return False else: return True def get_last_deploy(network_number="4"): with open("build/deployments/map.json", "r") as file: deploy_map = file.read() deploy_map = json.loads(deploy_map) return deploy_map[network_number]["nft"][-1]

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null

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1

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1

0

3

eee51ed7413b3939bd7f81de1af10487285d031f

3,669

py

Python

survivor/tests/survivor.py

vix993/project-lifeline

273bdad6e4d31178995654bbfced9d9e9e665c12

[ "MIT" ]

1

2021-04-13T14:58:37.000Z

survivor/tests/survivor.py

vix993/project-lifeline

273bdad6e4d31178995654bbfced9d9e9e665c12

[ "MIT" ]

null

survivor/tests/survivor.py

vix993/project-lifeline

273bdad6e4d31178995654bbfced9d9e9e665c12

[ "MIT" ]

null

from rest_framework.test import APITestCase from rest_framework import status from rest_framework.reverse import reverse as api_reverse from survivor.models import Survivor, FlagAsInfected, Reports class SurvivorAPITestCase(APITestCase): def setUp(self): survivor = Survivor.objects.create( name='New Name', age=20, gender='M', latitude='11', longitude='22', items='Fiji Water:13;Campbell Soup:17;First Aid Pouch:18;AK47:652' ) def test_single_post(self): post_count = Survivor.objects.count() self.assertEqual(post_count, 1) def test_get_list(self): data = {} url = api_reverse("api-survivor:create-list-survivors") response = self.client.get(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) def test_post_item(self): survivor = Survivor.objects.first() data = {"name": "New Second Test Name", "age": "20", "gender": "M", "latitude": "11", "longitude": "22", "items": "Fiji Water:100;Campbell Soup:200;First Aid Pouch:150;AK47:50"} url = api_reverse("api-survivor:create-list-survivors") response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_get_item(self): survivor = Survivor.objects.first() data = {} url = survivor.get_api_url() response = self.client.get(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) def test_update_item(self): survivor = Survivor.objects.first() url = survivor.get_api_url() data = {"age": "16", "latitude": "66677888", "longitude": "332222111"} response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) response = self.client.put(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_update_item_with_user(self): survivor = Survivor.objects.first() url = survivor.get_api_url() data = {"age": "16", "latitude": "66677888", "longitude": "332222111"} response = self.client.put(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_update_latlon(self): survivor = Survivor.objects.first() url = survivor.get_api_url() data = {"latitude": "30", "longitude": "30"} response = self.client.put(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK) def test_post_item(self): data = {"name": "Third Test Name", "age": "20", "gender": "M", "latitude": "11", "longitude": "22", "items": "Fiji Water:1500;Campbell Soup:200;First Aid Pouch:150;AK47:50"} url = api_reverse("api-survivor:create-list-survivors") response = self.client.post(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_201_CREATED) def test_update(self): survivor = Survivor.objects.create( name='Usain Bolt', age='27', gender='M', latitude="77.232323", longitude="77.788888", items="Fiji Water:1500;Campbell Soup:200;First Aid Pouch:150;AK47:50", ) url = survivor.get_api_url() data = {"latitude": "66", "longitude": "33"} response = self.client.put(url, data, format='json') self.assertEqual(response.status_code, status.HTTP_200_OK)

43.678571

89

0.638321

452

3,669

5.028761

0.210177

0.040035

0.071271

0.067312

0.775187

0.766388

0.732072

0.684118

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0.057042

0.225947

3,669

84

90

43.678571

0.74331

0

0.555556

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0.180109

0.027793

0

0.138889

1

0.138889

false

0

0.055556

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0.208333

0

null

0

1

0

1

0

null

0

3

eeeb8c96a94417f9f97bec07439fd6ca716f9e2d

67

py

Python

utils/__init__.py

nmiles2718/PACMan_dist

62f495f8d506919146a16750072a523aaafb3c53

[ "MIT" ]

null

utils/__init__.py

nmiles2718/PACMan_dist

62f495f8d506919146a16750072a523aaafb3c53

[ "MIT" ]

null

utils/__init__.py

nmiles2718/PACMan_dist

62f495f8d506919146a16750072a523aaafb3c53

[ "MIT" ]

null

__all__ = ['adscrawl','classifier','proposal_scraper','tokenizer']

33.5

66

0.746269

6

67

7.5

1

0

0.044776

67

1

67

0.703125

0

0.641791

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false

0

1

0

null

0

1

0

1

0

null

0

3

e11219500f3a77d987fc996a7f655f087cd6b164

368

py

Python

sheetsite/csv_spreadsheet.py

paulfitz/sheetsite

3ec3226a3d7e9cce7e92e5bcae96acf4d970ab0e

[ "MIT" ]

33

2016-01-17T15:32:56.000Z

2020-11-30T01:49:32.000Z

sheetsite/csv_spreadsheet.py

paulfitz/sheetsite

3ec3226a3d7e9cce7e92e5bcae96acf4d970ab0e

[ "MIT" ]

null

sheetsite/csv_spreadsheet.py

paulfitz/sheetsite

3ec3226a3d7e9cce7e92e5bcae96acf4d970ab0e

[ "MIT" ]

3

2018-10-30T08:32:28.000Z

2020-11-30T02:03:22.000Z

import csv class CsvSpreadsheet(object): def __init__(self, filename): with open(filename, 'r') as fin: reader = csv.reader(fin) self.data = [row for row in reader] def worksheets(self): return [self] def get_all_values(self): return self.data @property def title(self): return "sheet"

18.4

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4.644444

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0.133971

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0.317935

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0.307692

false

0

0.076923

0.230769

0.692308

0

null

0

null

0

1

0

1

0

3

01046774ad47642a1c88158ae89b46721785ad04

1,742

py

Python

app/db/models.py

SiriusKoan/shorten-url-with-kv

55d108a263441cc17dbec2ce3c8419b4b4ea111d

[ "MIT" ]

3

2022-02-16T09:11:39.000Z

2022-03-25T06:07:34.000Z

app/db/models.py

SiriusKoan/shorten-url-with-kv

55d108a263441cc17dbec2ce3c8419b4b4ea111d

[ "MIT" ]

null

app/db/models.py

SiriusKoan/shorten-url-with-kv

55d108a263441cc17dbec2ce3c8419b4b4ea111d

[ "MIT" ]

null

import datetime from flask_sqlalchemy import SQLAlchemy from werkzeug.security import generate_password_hash, check_password_hash db = SQLAlchemy() class Users(db.Model): __tablename__ = "users" id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String, unique=True, nullable=False) password = db.Column(db.String, nullable=False) email = db.Column(db.String, unique=True, nullable=False) is_admin = db.Column(db.Boolean, nullable=False, default=False) verify_code = db.Column(db.String, unique=True, nullable=True) # for futurn use api_key = db.Column(db.String, unique=True) urls = db.relationship("urls") register_time = db.Column( db.DateTime, default=datetime.datetime.now, nullable=False ) def __init__(self, username, password, email, is_admin=False) -> None: self.username = username self.password = generate_password_hash(password) self.email = email self.is_admin = is_admin def check_password(self, password): return check_password_hash(self.password, password) class urls(db.Model): __tablename__ = "urls" id = db.Column(db.Integer, primary_key=True) user_id = db.Column(db.Integer, db.ForeignKey("users.id"), nullable=False) old = db.Column(db.String, nullable=False) new = db.Column(db.String, nullable=False, unique=True) use = db.Column(db.Integer, nullable=False, default=0) create_by = db.Column(db.String, nullable=False, default="web") # web or api created_time = db.Column(db.DateTime, default=datetime.datetime.now, nullable=False) def __init__(self, user_id, old, new) -> None: self.user_id = user_id self.old = old self.new = new

37.869565

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null

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null

0

1

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1

0

3

0125e2e369cc19aee09872fba753c013571e48ed

2,383

py

Python

gui/model/timer_model.py

GGelatin/TekkenBot

33e9a319a085aa17f355dc6f470dfb15e15020cd

[ "MIT" ]

45

2019-06-14T00:29:35.000Z

2022-01-13T15:52:35.000Z

gui/model/timer_model.py

GGelatin/TekkenBot

33e9a319a085aa17f355dc6f470dfb15e15020cd

[ "MIT" ]

16

2019-07-19T09:06:15.000Z

2021-04-08T11:29:58.000Z

gui/model/timer_model.py

GGelatin/TekkenBot

33e9a319a085aa17f355dc6f470dfb15e15020cd

[ "MIT" ]

10

2019-06-14T23:30:26.000Z

2021-08-23T17:13:03.000Z

#!/usr/bin/env python3 # Copyright (c) 2019, Alchemy Meister # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice,this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. """ """ from constants.battle.timer import BattleTime class TimerModel(): """ """ def __init__(self): self.all_time_limit_dict = {} for char_enum in BattleTime: if char_enum.printable_name is not None: self.all_time_limit_dict[char_enum.value] = ( char_enum.printable_name ) def timer_name_to_index(self, timer_name): return list(self.all_time_limit_dict.values()).index(timer_name) def timer_index_to_printable_enum(self, timer_index): return BattleTime(list(self.all_time_limit_dict.keys())[timer_index]) @staticmethod def get_default_time_limit(): return BattleTime.SIXTY @staticmethod def get_time_limit_enum(): return BattleTime

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3

014ddcdc52e65599bfaae00da8c842d3e3099abb

193

py

Python

f5cli/config/__init__.py

f5devcentral/f5-cli

22a5c6902e3f78a969a86116a73fcad817f220be

[ "Apache-2.0" ]

13

2020-03-06T22:35:47.000Z

2021-06-28T23:08:46.000Z

f5cli/config/__init__.py

f5devcentral/f5-cli

22a5c6902e3f78a969a86116a73fcad817f220be

[ "Apache-2.0" ]

19

2020-03-11T15:14:06.000Z

2022-01-26T23:56:56.000Z

f5cli/config/__init__.py

f5devcentral/f5-cli

22a5c6902e3f78a969a86116a73fcad817f220be

[ "Apache-2.0" ]

1

2020-03-24T13:29:30.000Z

"""Configuration module for the CLI """ from .core import ConfigurationClient from .auth import AuthConfigurationClient __all__ = [ 'AuthConfigurationClient', 'ConfigurationClient' ]

19.3

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0.761658

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8.9375

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9

42

21.444444

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0.165803

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0

1

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null

0

1

0

3

015c755a8da8d75aa266e30bba76d209ad102249

465

py

Python

Exercicios/ex029.py

sleepinhoo/Python

d8ac7f3297f3a99b27b07d7341a16503a64124b0

[ "MIT" ]

null

Exercicios/ex029.py

sleepinhoo/Python

d8ac7f3297f3a99b27b07d7341a16503a64124b0

[ "MIT" ]

null

Exercicios/ex029.py

sleepinhoo/Python

d8ac7f3297f3a99b27b07d7341a16503a64124b0

[ "MIT" ]

null

# aplicador de multa # kilometragem: 80km # valor por kilomretro excedido: 7.00 print("OPA meu jovem, cuidado com a velocidade!") km = float(input("Ovo ter que conferir se vc passou da velocidade, me informe o a kilometragem por favor: ")) vl = km - 80.0 if vl < 1.0 : print("Tá limpo meu rei, pode passar.") else : mt = vl * 7 print("Tá correndo mermão?") print(f"Ovo ter que te aplicar uma multa de R${mt}") print("End of transmission...")

27.352941

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3

01743a4f1ff1a8cc638bbb40ce399fd2b90050bb

563

py

Python

keynet/version.py

visym/keynet

7e3aeb0fd35955ef7ca7499170a337f261655f6e

[ "MIT" ]

13

2020-09-14T22:33:00.000Z

2021-12-06T01:34:17.000Z

keynet/version.py

visym/keynet

7e3aeb0fd35955ef7ca7499170a337f261655f6e

[ "MIT" ]

3

2020-10-22T23:37:47.000Z

2020-11-20T00:36:51.000Z

keynet/version.py

visym/keynet

7e3aeb0fd35955ef7ca7499170a337f261655f6e

[ "MIT" ]

4

2020-09-15T01:13:30.000Z

2021-11-26T05:04:22.000Z

MAJOR = 0 MINOR = 2 RELEASE = 4 VERSION = '%d.%d.%d' % (MAJOR, MINOR, RELEASE) def at_least_version(versionstring): """Is versionstring='X.Y.Z' at least the current version?""" (major, minor, release) = versionstring.split('.') return at_least_major_version(major) and at_least_minor_version(minor) and at_least_release_version(release) def at_least_major_version(major): return MAJOR >= int(major) def at_least_minor_version(minor): return MINOR >= int(minor) def at_least_release_version(release): return RELEASE >= int(release)

24.478261

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null

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1

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1

0

3

01876fa0573f177a3d46f8f8cfdd8a019695d623

545

py

Python

test/test-356-getei.py

Cam2337/snap-python

0bf722b461f8b5aae3ecb2757313521e9e9e76f1

[ "BSD-3-Clause" ]

242

2015-01-01T08:40:28.000Z

2022-03-18T05:22:09.000Z

test/test-356-getei.py

Cam2337/snap-python

0bf722b461f8b5aae3ecb2757313521e9e9e76f1

[ "BSD-3-Clause" ]

99

2015-01-24T07:55:27.000Z

2021-10-30T18:20:13.000Z

test/test-356-getei.py

Cam2337/snap-python

0bf722b461f8b5aae3ecb2757313521e9e9e76f1

[ "BSD-3-Clause" ]

105

2015-03-03T06:45:17.000Z

2022-02-24T15:52:40.000Z

import snap Graph = snap.GenFull(snap.PNEANet, 10) Src = 1 Dst = 2 EI = Graph.GetEI(Src,Dst) EId = EI.GetId() print(EId, Graph.GetEI(Src,Dst).GetId()) print(Graph.GetEI(Src,Dst).GetSrcNId(), Graph.GetEI(Src,Dst).GetDstNId()) print(Graph.GetEI(EId).GetSrcNId(), Graph.GetEI(EId).GetDstNId()) if EId != Graph.GetEI(Src,Dst).GetId(): print("*** error1") if Graph.GetEI(Src,Dst).GetSrcNId() != Graph.GetEI(EId).GetSrcNId(): print("*** error2") if Graph.GetEI(Src,Dst).GetDstNId() != Graph.GetEI(EId).GetDstNId(): print("*** error3")

27.25

73

0.669725

80

545

4.5625

0.2625

0.30137

0.249315

0.306849

0.471233

0.350685

0

0.014374

0.106422

545

19

74

28.684211

0.735113

0

0.055147

0

1

0

false

0

0.066667

0

0.066667

0.4

0

null

1

0

null

0

3

6d74cd7d729bf7312befefd8847a8cfbfaed3064

5,247

py

Python

kiestze_django/kiestze_django/settings.py

oSoc18/kiest_ze

842eefcf3f6002ea90c2917682f625749398b33e

[ "Apache-2.0" ]

3

2018-07-11T07:59:15.000Z

2018-07-26T19:58:44.000Z

kiestze_django/kiestze_django/settings.py

oSoc18/kiest_ze

842eefcf3f6002ea90c2917682f625749398b33e

[ "Apache-2.0" ]

4

2018-08-11T13:55:50.000Z

2019-12-28T15:41:30.000Z

kiestze_django/kiestze_django/settings.py

oSoc18/kiest_ze

842eefcf3f6002ea90c2917682f625749398b33e

[ "Apache-2.0" ]

null

""" Django settings for kiestze_django project. Generated by 'django-admin startproject' using Django 2.0.7. For more information on this file, see https://docs.djangoproject.com/en/2.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.0/ref/settings/ """ import os from . import secret # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! # SECRET_KEY = 'chl$i$@d!z&hw)^9h1*h4tz9j$_-*!o097o_m+g*%^^91hu-z)' SECRET_KEY = secret.key # SECURITY WARNING: don't run with debug turned on in production! DEBUG = secret.DEBUG ALLOWED_HOSTS = ['.kiestze.be', '192.81.221.154', 'localhost', '127.0.0.1'] #INTERNAL_IPS = ['127.0.0.1'] # "The Debug Toolbar is shown only if your IP is listed in the INTERNAL_IPS setting" # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.sites', #allauth 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'django.contrib.postgres', 'allauth', 'allauth.account', 'allauth.socialaccount', 'allauth.socialaccount.providers.facebook', 'allauth.socialaccount.providers.github', 'allauth.socialaccount.providers.gitlab', 'allauth.socialaccount.providers.google', 'allauth.socialaccount.providers.twitter', 'corsheaders', #'debug_toolbar', 'kiestze', ] SITE_ID = 1 # Required by allauth, no idea why if not DEBUG: os.environ['HTTPS'] = 'on' # Allauth/nginx SSL sorcery ACCOUNT_DEFAULT_HTTP_PROTOCOL = 'HTTPS' LOGIN_REDIRECT_URL = '/lijst' MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'corsheaders.middleware.CorsMiddleware', # 'django.middleware.gzip.GZipMiddleware', # You should include the Debug Toolbar middleware as early as possible in the list. # However, it must come after any other middleware that encodes # the response’s content, such as GZipMiddleware. # 'debug_toolbar.middleware.DebugToolbarMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] # CORS for easier debugging. CORS_ORIGIN_ALLOW_ALL = True CORS_ALLOW_CREDENTIALS = False #CORS_ORIGIN_WHITELIST = ( # 'localhost:3030', #) CORS_ORIGIN_REGEX_WHITELIST = ( 'localhost:[0-9]+', '127.0.0.1:[0-9]+', ) ROOT_URLCONF = 'kiestze_django.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['templates'], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', 'django.template.context_processors.request', ], }, }, ] WSGI_APPLICATION = 'kiestze_django.wsgi.application' # Database # https://docs.djangoproject.com/en/2.0/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'NAME': 'kiestze', 'USER': secret.psql_user, 'PASSWORD': secret.psql_password, 'HOST': 'localhost', 'PORT': '', } } # Password validation # https://docs.djangoproject.com/en/2.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.0/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'Europe/Brussels' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.0/howto/static-files/ STATIC_URL = '/static/' # hack, so that server and dev machinse don't have to change code. if not DEBUG: STATIC_ROOT = os.path.join(BASE_DIR, 'static/') else: STATICFILES_DIRS = [ os.path.join(BASE_DIR, "static"), ] AUTHENTICATION_BACKENDS = ( # Needed to login by username in Django admin, regardless of `allauth` 'django.contrib.auth.backends.ModelBackend', # `allauth` specific authentication methods, such as login by e-mail 'allauth.account.auth_backends.AuthenticationBackend', )

28.058824

114

0.69697

608

5,247

5.907895

0.419408

0.065145

0.037862

0.048719

0.165367

0.130568

0.074332

0.033408

0

0.016367

0.173242

5,247

187

115

28.058824

0.811664

0.345721

0

0.038095

1

0

0.522995

0.412736

0

1

0

false

0.057143

0.019048

0

0.019048

0

null

0

1

0

1

null

0

1

0

3

6d798a21298a9977957ca10bb0ace9062bf94b5a

96

py

Python

clans_cells/apps.py

Red-Teapot/bbyaworld.com-django

6eb8febd2cfa304a062ac924240cbdf060499cfc

[ "MIT" ]

1

2020-01-11T18:04:15.000Z

clans_cells/apps.py

Red-Teapot/bbyaworld.com-django

6eb8febd2cfa304a062ac924240cbdf060499cfc

[ "MIT" ]

2

2018-08-24T08:53:27.000Z

2019-07-05T16:08:28.000Z

clans_cells/apps.py

Red-Teapot/bbyaworld.com-django

6eb8febd2cfa304a062ac924240cbdf060499cfc

[ "MIT" ]

1

2018-11-22T16:19:52.000Z

from django.apps import AppConfig class ClansCellsConfig(AppConfig): name = 'clans_cells'

16

34

0.770833

11

96

6.636364

0.909091

0

0.15625

96

5

35

19.2

0.901235

0

0.114583

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

6dabff58ec29960f0a431a615d286843296c47d5

381

py

Python

Lists/Join.py

obareau/python_travaux_pratiques

2205f4c253e96e409b56f5c23d6e23387ab46524

[ "MIT" ]

1

2021-11-01T12:45:50.000Z

Lists/Join.py

obareau/python_travaux_pratiques

2205f4c253e96e409b56f5c23d6e23387ab46524

[ "MIT" ]

null

Lists/Join.py

obareau/python_travaux_pratiques

2205f4c253e96e409b56f5c23d6e23387ab46524

[ "MIT" ]

null

fields = ["one", "two", "three", "four", "five", "six"] together = ":".join(fields) print(together) # one:two:three:four:five:six together = ':'.join(fields) print(together) # one:two and three:four:five:six mixed = ' -=<> '.join(fields) print(mixed) # one -=<> two and three -=<> four -=<> five -=<> six another = ''.join(fields) print(another) # onetwo and threefourfivesix

25.4

66

0.632546

50

381

4.82

0.3

0.099585

0.215768

0.26556

0.647303

0.46473

0

0.139108

381

14

67

27.214286

0.734756

0.364829

0

0.222222

0

0.127119

0

1

0

false

0

0.444444

0

null

0

1

0

null

0

1

0

3

6db45fac3197ccd9e4edcb5d82136ad96bd61a4e

379

py

Python

example/vm-flow.py

cloudmesh/cloudmesh-flow

aa0c00034c2947b8f41d726c5926cdcb068ce54a

[ "Apache-2.0" ]

1

2019-05-07T13:20:33.000Z

example/vm-flow.py

cloudmesh/cloudmesh-flow

aa0c00034c2947b8f41d726c5926cdcb068ce54a

[ "Apache-2.0" ]

29

2019-04-25T18:04:25.000Z

2022-03-25T18:41:44.000Z

example/vm-flow.py

cloudmesh/cloudmesh-flow

aa0c00034c2947b8f41d726c5926cdcb068ce54a

[ "Apache-2.0" ]

1

2020-03-23T03:00:51.000Z

from cloudmesh.compute.aws import Provider as AWSProvider from cloudmesh.compute.azure import AzProvider from cloudmesh.flow.Flow import Flow class MyFlow(Flow): def spawn_aws(self): pass def spawn_azure(self): pass def ping_aws(self): pass def ping_azure(self): pass if __name__ == "__main__": flow = MyFlow(sys.argv[0])

18.95

57

0.672823

51

379

4.764706

0.470588

0.131687

0.135802

0.115226

0

0.003484

0.242744

379

19

58

19.947368

0.843206

0

0.285714

0

0.021108

0

1

0.285714

false

0.285714

0.214286

0

0.571429

0

null

0

null

0

1

0

1

0

1

0

3

6db815c82ce284f518d74c579ccfc98817fa5adf

547

py

Python

hubcheck/pageobjects/po_supportneedhelp.py

codedsk/hubcheck

2ff506eb56ba00f035300862f8848e4168452a17

[ "MIT" ]

1

2016-02-13T13:42:23.000Z

hubcheck/pageobjects/po_supportneedhelp.py

codedsk/hubcheck

2ff506eb56ba00f035300862f8848e4168452a17

[ "MIT" ]

null

hubcheck/pageobjects/po_supportneedhelp.py

codedsk/hubcheck

2ff506eb56ba00f035300862f8848e4168452a17

[ "MIT" ]

null

from hubcheck.pageobjects.po_generic_page import GenericPage class SupportNeedHelpPage(GenericPage): """Support Need Help page object""" def __init__(self,browser,catalog): super(SupportNeedHelpPage,self).__init__(browser,catalog) def open(self): return self.needhelplink.click() def close(self): return self.needhelpform.close.click() def submit_ticket(self,data): return self.needhelpform.submit_ticket(data) def goto_ticket(self): return self.needhelpform.goto_ticket()

22.791667

65

0.71298

62

547

6.064516

0.483871

0.106383

0.111702

0.138298

0

0.190128

547

23

66

23.782609

0.848758

0.053016

0

1

0.416667

false

0

0.083333

0.333333

0.916667

0

null

0

null

0

1

0

1

0

3

6dc73c98b00834eaebba6c9a356185b0f7a60b23

199

py

Python

recipes/Python/577069_Access_grep_from_python/recipe-577069.py

tdiprima/code

61a74f5f93da087d27c70b2efe779ac6bd2a3b4f

[ "MIT" ]

2,023

2017-07-29T09:34:46.000Z

2022-03-24T08:00:45.000Z

recipes/Python/577069_Access_grep_from_python/recipe-577069.py

unhacker/code

73b09edc1b9850c557a79296655f140ce5e853db

[ "MIT" ]

32

2017-09-02T17:20:08.000Z

2022-02-11T17:49:37.000Z

recipes/Python/577069_Access_grep_from_python/recipe-577069.py

unhacker/code

73b09edc1b9850c557a79296655f140ce5e853db

[ "MIT" ]

780

2017-07-28T19:23:28.000Z

2022-03-25T20:39:41.000Z

import subprocess def grep(filename, arg): process = subprocess.Popen(['grep', '-n', arg, filename], stdout=subprocess.PIPE) stdout, stderr = process.communicate() return stdout, stderr

28.428571

85

0.703518

23

199

6.086957

0.608696

0.171429

0

0.160804

199

6

86

33.166667

0.838323

0

0.030151

0

1

0.2

false

0

0.2

0

0.6

0

1

0

null

0

1

0

null

0

1

0

3

6ddeaba734ea098a5ef82e061815b81b851e3b71

180

py

Python

Utils/obfuscate.py

Xiloe/kino

1e6455e9e939d6a46bd06431c76b044f2dad5fa2

[ "MIT" ]

null

Utils/obfuscate.py

Xiloe/kino

1e6455e9e939d6a46bd06431c76b044f2dad5fa2

[ "MIT" ]

null

Utils/obfuscate.py

Xiloe/kino

1e6455e9e939d6a46bd06431c76b044f2dad5fa2

[ "MIT" ]

null

def obfuscate(utils_path, project_path): import subprocess print('Running obfuscator ...') subprocess.run(f'{utils_path}/confuser/Confuser.CLI.exe {project_path} -n')

30

79

0.727778

23

180

5.521739

0.695652

0.141732

0

0.133333

180

5

80

36

0.814103

0

0.433333

0.211111

0

1

0.25

false

0

0.25

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

3

6de195436fc11dd6547bde73a1d3f7a62f56ff6e

130

py

Python

backend/gunicorn.conf.py

WhitePrime/tabby-web

156341173a42de346b1785602961da40d77a3c66

[ "MIT" ]

91

2021-11-01T06:02:15.000Z

2022-03-31T16:02:37.000Z

backend/gunicorn.conf.py

WhitePrime/tabby-web

156341173a42de346b1785602961da40d77a3c66

[ "MIT" ]

23

2021-11-14T17:10:01.000Z

2022-03-28T21:40:25.000Z

backend/gunicorn.conf.py

WhitePrime/tabby-web

156341173a42de346b1785602961da40d77a3c66

[ "MIT" ]

12

2021-12-02T02:25:04.000Z

2022-03-19T11:48:03.000Z

wsgi_app = "tabby.wsgi:application" workers = 4 preload_app = True sendfile = True max_requests = 1000 max_requests_jitter = 100

16.25

35

0.776923

19

130

5.052632

0.736842

0.229167

0

0.072072

0.146154

130

7

36

18.571429

0.792793

0

0.169231

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

6df227204659db596dad114617a6c04d3ccdff66

221

py

Python

tests/errors/semantic/non_blocking/PYCCEL_RESTRICTION_LIST_COMPREHENSION_LIMITS.py

dina-fouad/pyccel

f4d919e673b400442b9c7b81212b6fbef749c7b7

[ "MIT" ]

206

2018-06-28T00:28:47.000Z

2022-03-29T05:17:03.000Z

tests/errors/semantic/non_blocking/PYCCEL_RESTRICTION_LIST_COMPREHENSION_LIMITS.py

dina-fouad/pyccel

f4d919e673b400442b9c7b81212b6fbef749c7b7

[ "MIT" ]

670

2018-07-23T11:02:24.000Z

2022-03-30T07:28:05.000Z

tests/errors/semantic/non_blocking/PYCCEL_RESTRICTION_LIST_COMPREHENSION_LIMITS.py

dina-fouad/pyccel

f4d919e673b400442b9c7b81212b6fbef749c7b7

[ "MIT" ]

19

2019-09-19T06:01:00.000Z

2022-03-29T05:17:06.000Z

# pylint: disable=missing-function-docstring, missing-module-docstring/ a = [i*j for i in range(1,3) for j in range(1,4) for k in range(i,j)] n = 5 a = [i*j for i in range(1,n) for j in range(1,4) for k in range(i,j)]

27.625

71

0.656109

52

221

2.788462

0.346154

0.289655

0.22069

0.082759

0.565517

0.358621

0

0.044199

0.180995

221

7

72

31.571429

0.756906

0.312217

0

1

0

false

0

null

1

0

1

0

null

0

3

a308e76229184992c1e116730b45f892f73e2b32

3,567

py

Python

speakerbot/speaker_db_plugins/speakerbot_reports.py

akatrevorjay/speakerbot

a210d27a2752c5424924b02e917a46a7beb31edc

[ "MIT" ]

2

2015-02-17T03:29:09.000Z

2015-05-06T16:41:08.000Z

speakerbot/speaker_db_plugins/speakerbot_reports.py

akatrevorjay/speakerbot

a210d27a2752c5424924b02e917a46a7beb31edc

[ "MIT" ]

2

2016-06-24T13:03:41.000Z

2018-04-02T19:59:19.000Z

speakerbot/speaker_db_plugins/speakerbot_reports.py

akatrevorjay/speakerbot

a210d27a2752c5424924b02e917a46a7beb31edc

[ "MIT" ]

4

2015-02-13T19:01:17.000Z

2018-08-31T18:33:52.000Z

def get_lucky_numbers(self): return self.execute("select lucky_number, count(lucky_number) as occurences, sum(case when outcome < 1 then 1 else 0 end) as negative_outcomes, sum(case when outcome > 1 then 1 else 0 end) as successful_outcomes from wager_history where lucky_number <> 0 group by lucky_number") def get_number_occurence(self): return self.execute("select chosen_number, count(chosen_number) as occurences, sum(case when outcome < 1 then 1 else 0 end) as negative_outcomes, sum(case when outcome > 1 then 1 else 0 end) as successful_outcomes from wager_history group by chosen_number") def get_multiplier_occurence(self): return self.execute("select win_multiplier, count(win_multiplier) as occurences, sum(case when outcome < 1 then 1 else 0 end) as negative_outcomes, sum(case when outcome > 1 then 1 else 0 end) as successful_outcomes from wager_history group by win_multiplier") def get_wagers_and_outcomes_by_day(self, limit=30): return self.execute("select date(wager_time, 'unixepoch') as wager_date, case when sum(wager) > 100000 then 100000 else sum(wager) end as amount_wagered, case when sum(outcome) > 100000 then 100000 when sum(outcome) < -100000 then -100000 else sum(outcome) end as outcome from wager_history group by date(wager_time, 'unixepoch') limit ?", [limit]) def get_wagers_by_outcome(self, limit=15): return self.execute("select wager, sum(case when outcome > 1 then 1 else 0 end) as successful_outcomes, sum(case when outcome < 1 then 1 else 0 end) as negative_outcomes from wager_history group by wager order by count(wager) desc limit ?", [limit]) def get_lucky_and_chosen_cooccurence(self): return self.execute("select lucky.number, lucky.lucky_numero, chosen.chosen_numero, case when coc.cooccurrence is null then 0 else coc.cooccurrence end as cooccurence from (select chosen_number as number, count(chosen_number) as chosen_numero, null as lucky_number from wager_history group by chosen_number) chosen inner join (select lucky_number as number, null as chosen_number, count(lucky_number) as lucky_numero from wager_history group by lucky_number) lucky on lucky.number=chosen.number left join (select lucky_number as number, count(*) as cooccurrence from wager_history where lucky_number = chosen_number group by number) coc on lucky.number=coc.number") def get_aggregate_wager_stats(self, start=0, end=4000000000): results = self.execute(""" SELECT count(*) as spins, AVG(wager) as avg_wgr, AVG(outcome) as avg_out, MAX(wager) as max_wgr, SUM(wager) as ttl_wgr, SUM(outcome) as net_win, AVG(win_multiplier) as avg_multi, SUM(cheated_death) as cheat_death FROM wager_history where wager_time > ? and wager_time < ? """, [start, end]) try: results = results.next() results["avg_out"] = int(round(results["avg_out"])) results["avg_wgr"] = int(round(results["avg_wgr"])) results["avg_multi"] = int(round(results["avg_multi"])) results["roi"] = str(int(round(results["avg_out"] / results["avg_wgr"], 2) * 100)) + "%" except: results = None pass return results def get_wager_history(self, limit=50): return self.execute ("select datetime(wager_time, 'unixepoch') as time, lucky_number, wager, outcome, chosen_number, win_multiplier, cheated_death from wager_history order by wager_time desc LIMIT ?", [limit])

66.055556

669

0.716849

531

3,567

4.636535

0.163842

0.062551

0.064988

0.058489

0.455727

0.393989

0.287977

0.238018

0.210398

0

0.02894

0.195963

3,567

54

670

66.055556

0.829498

0

0.179487

0.732754

0.025519

0

1

0.205128

false

0.025641

0

0.179487

0.410256

0

null

0

1

0

null

0

1

0

1

0

3

097d200d834e9033d30730f307403bf1a66ec4c7

791

py

Python

backend/django_app/core/api/views/__init__.py

bekurmann/BA_polity

933c9df9d935066cc498c5da8e1e0f68742f6ee5

[ "MIT" ]

null

backend/django_app/core/api/views/__init__.py

bekurmann/BA_polity

933c9df9d935066cc498c5da8e1e0f68742f6ee5

[ "MIT" ]

null

backend/django_app/core/api/views/__init__.py

bekurmann/BA_polity

933c9df9d935066cc498c5da8e1e0f68742f6ee5

[ "MIT" ]

null

from .politican import PoliticanViewSet # from .party import from .parlament import ParlamentViewSet from .commission import CommissionViewSet from .fraction import FractionViewSet from .affair import (AffairAllViewSet, AffairViewSet, AffairDebateViewSet, AffairFileViewSet ) from .session import SessionViewSet from .membership import ParlamentMembershipViewSet, PoliticanMembershipViewSet, CommissionMembershipViewSet from .analysis import ( AnalysisParlamentAffairsPerYearOW, AnalysisParlamentAffairsTypesOW, AnalysisParlamentAffairTypesPerYearOW, AnalysisParlamentInterpellationOW, AnalysisParlamentPostulateOW, AnalysisParlamentMotionOW, AnalysisJupyterPolitican, AnalysisJupyterAffair, )

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09a440ea81889592be59bc0be057ee6338e5b6c0

266

py

Python

src/githubnavigator/__main__.py

rmk135/github-navigator-application

58458ff23cf3c05dffb16a3188ea2777b482eb79

[ "MIT" ]

5

2018-02-26T12:25:18.000Z

2019-01-17T15:08:23.000Z

src/githubnavigator/__main__.py

rmk135/github-navigator-application

58458ff23cf3c05dffb16a3188ea2777b482eb79

[ "MIT" ]

2

2020-07-08T21:09:58.000Z

2020-07-08T21:10:09.000Z

src/githubnavigator/__main__.py

rmk135/github-navigator-application

58458ff23cf3c05dffb16a3188ea2777b482eb79

[ "MIT" ]

1

2019-02-27T06:57:58.000Z

"""Application main module.""" from .application import Application def main() -> None: """Run application.""" application = Application() application.config.from_yaml('config/config.yml') application.run() if __name__ == '__main__': main()

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null

0

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09b45c8df049d4673ec31c2a417f1cc09bd98c93

3,446

py

Python

k1lib/callbacks/shorts.py

157239n/k1lib

285520b8364ad5b21cb736b44471aa939e692e9b

[ "MIT" ]

1

2021-08-11T19:10:08.000Z

k1lib/callbacks/shorts.py

157239n/k1lib

285520b8364ad5b21cb736b44471aa939e692e9b

[ "MIT" ]

null

k1lib/callbacks/shorts.py

157239n/k1lib

285520b8364ad5b21cb736b44471aa939e692e9b

[ "MIT" ]

null

# AUTOGENERATED FILE! PLEASE DON'T EDIT from .callbacks import Callback, Callbacks, Cbs import k1lib, os, torch __all__ = ["Autosave", "DontTrainValid", "InspectLoss", "ModifyLoss", "Cpu", "Cuda", "DType", "InspectBatch", "ModifyBatch", "InspectOutput", "ModifyOutput", "Beep"] @k1lib.patch(Cbs) class Autosave(Callback): """Autosaves 3 versions of the network to disk""" def __init__(self): super().__init__(); self.order = 23 def endRun(self): os.system("mv autosave-1.pth autosave-0.pth") os.system("mv autosave-2.pth autosave-1.pth") self.l.save("autosave-2.pth") @k1lib.patch(Cbs) class DontTrainValid(Callback): """If is not training, then don't run m.backward() and opt.step(). The core training loop in k1lib.Learner don't specifically do this, cause there may be some weird cases where you want to also train valid.""" def _common(self): if not self.l.model.training: return True def startBackward(self): return self._common() def startStep(self): return self._common() @k1lib.patch(Cbs) class InspectLoss(Callback): """Expected `f` to take in 1 float.""" def __init__(self, f): super().__init__(); self.f = f; self.order = 15 def endLoss(self): self.f(self.loss.detach()) @k1lib.patch(Cbs) class ModifyLoss(Callback): """Expected `f` to take in 1 float and return 1 float.""" def __init__(self, f): super().__init__(); self.f = f; self.order = 13 def endLoss(self): self.l.loss = self.f(self.loss) @k1lib.patch(Cbs) class Cuda(Callback): """Moves batch and model to the default GPU""" def startRun(self): self.l.model.cuda() def startBatch(self): self.l.xb = self.l.xb.cuda() self.l.yb = self.l.yb.cuda() @k1lib.patch(Cbs) class Cpu(Callback): """Moves batch and model to CPU""" def startRun(self): self.l.model.cpu() def startBatch(self): self.l.xb = self.l.xb.cpu() self.l.yb = self.l.yb.cpu() @k1lib.patch(Cbs) class DType(Callback): """Moves batch and model to a specified data type""" def __init__(self, dtype): super().__init__(); self.dtype = dtype def startRun(self): self.l.model = self.l.model.to(self.dtype) def startBatch(self): self.l.xb = self.l.xb.to(self.dtype) self.l.yb = self.l.yb.to(self.dtype) @k1lib.patch(Cbs) class InspectBatch(Callback): """Expected `f` to take in 2 tensors.""" def __init__(self, f:callable): super().__init__(); self.f = f; self.order = 15 def startBatch(self): self.f(self.l.xb, self.l.yb) @k1lib.patch(Cbs) class ModifyBatch(Callback): """Modifies xb and yb on the fly. Expected `f` to take in 2 tensors and return 2 tensors.""" def __init__(self, f): super().__init__(); self.f = f; self.order = 13 def startBatch(self): self.l.xb, self.l.yb = self.f(self.l.xb, self.l.yb) @k1lib.patch(Cbs) class InspectOutput(Callback): """Expected `f` to take in 1 tensor.""" def __init__(self, f): super().__init__(); self.f = f; self.order = 15 def endPass(self): self.f(self.y) @k1lib.patch(Cbs) class ModifyOutput(Callback): """Modifies output on the fly. Expected `f` to take in 1 tensor and return 1 tensor""" def __init__(self, f): super().__init__(); self.f = f; self.order = 13 def endPass(self): self.l.y = self.f(self.y) @k1lib.patch(Cbs) class Beep(Callback): """Plays a beep sound when the run is over""" def endRun(self): k1lib.beep()

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1

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null

0

1

0

1

0

3

09b86653076f12057c45584575a4e9db8f35f4b1

2,720

py

Python

test_filtering.py

oslaksam/Python-CLI-Image-editor

a3e025c9297b7d4c1305aca2b7f3b6edaa8bcb27

[ "MIT" ]

null

test_filtering.py

oslaksam/Python-CLI-Image-editor

a3e025c9297b7d4c1305aca2b7f3b6edaa8bcb27

[ "MIT" ]

null

test_filtering.py

oslaksam/Python-CLI-Image-editor

a3e025c9297b7d4c1305aca2b7f3b6edaa8bcb27

[ "MIT" ]

null

from numpy.testing import assert_equal from pytest import fixture from filtering.filtering import * @fixture def image(): return read_image('tests/lenna.png') @fixture def image_gaussian_blur(): return read_image('tests/lenna_gaussian_blur.png') @fixture def image_gray(image): return np.average(image.astype(np.float), weights=[0.299, 0.587, 0.114], axis=2).astype(np.uint8) @fixture def image_gray_edge_detection(): return read_image('tests/lenna_gray_edge_detection.png') @fixture def image_gaussian_blur3(): return read_image('tests/lenna_blur3.png') @fixture def image_inverse(): return read_image('tests/lenna_inverse.png') @fixture def image_rotate(): return read_image('tests/lenna_rotate.png') @fixture def image_lit75(): return read_image('tests/lenna_lit75.png') @fixture def image_dark50(): return read_image('tests/lenna_dark50.png') @fixture def image_emboss(): return read_image('tests/lenna_emboss.png') @fixture def image_sharp(): return read_image('tests/lenna_sharp.png') @fixture def image_mirror(): return read_image('tests/lenna_mirror.png') @fixture def image_dark50(): return read_image('tests/lenna_dark50.png') def test_gaussian_blur3(image, image_gaussian_blur3): assert_equal(apply_filter(image, approx_gaussian_blur_3_kernel), image_gaussian_blur3) def test_image_inverse(image, image_inverse): assert_equal(inverse(image), image_inverse) def test_identity_filter(image): assert_equal(apply_filter(image, identity_kernel), image) def test_gaussian_blur(image, image_gaussian_blur): assert_equal(apply_filter(image, approx_gaussian_blur_5_kernel), image_gaussian_blur) def test_gray_edge_detection(image_gray, image_gray_edge_detection): assert_equal(apply_filter(image_gray, edge_detection_kernel), image_gray_edge_detection) def test_smile(image): assert_equal(apply_filter(image, identity_kernel), image) def test_bw(image, image_gray): assert_equal((bw(image)), image_gray) def test_darken50(image, image_dark50): assert_equal((darken(image, 50)), image_dark50) def test_emboss(image, image_emboss): assert_equal((apply_filter(image, embossing_kernel)), image_emboss) def test_lit75(image, image_lit75): assert_equal((lighten(image, 75)), image_lit75) def test_mirror(image, image_mirror): assert_equal((mirror(image)), image_mirror) def test_rotation(image, image_rotate): assert_equal((rotate(image)), image_rotate) def test_sharp(image, image_sharp): assert_equal((apply_filter(image, sharpening_kernel)), image_sharp) def chain_test(image, image_gray): assert_equal(bw(rotate(rotate(rotate(rotate(image))))), image_gray)

21.587302

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2,720

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0

null

0

null

0

1

0

1

0

3

09d7b7832478a8789ffda2358c7033e4144b37a0

310

py

Python

saleor/account/templatetags/account_utils.py

TropicalBastos/saleor-courses

3d158d7e00fba999331b4949ee69bca3b3ab564e

[ "CC-BY-4.0" ]

4

2019-11-23T20:00:45.000Z

2021-09-15T20:06:15.000Z

saleor/account/templatetags/account_utils.py

TropicalBastos/saleor-courses

3d158d7e00fba999331b4949ee69bca3b3ab564e

[ "CC-BY-4.0" ]

14

2020-03-24T17:54:29.000Z

2022-02-10T19:53:07.000Z

saleor/account/templatetags/account_utils.py

TropicalBastos/saleor-courses

3d158d7e00fba999331b4949ee69bca3b3ab564e

[ "CC-BY-4.0" ]

1

2020-01-11T21:33:21.000Z

from django import template from django.utils.translation import pgettext from django.templatetags.static import static from django.template.defaultfilters import safe, truncatechars register = template.Library() @register.filter() def safe_truncate(string, arg): return truncatechars(safe(string), arg)

28.181818

62

0.816129

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310

6.631579

0.526316

0.15873

0

0.106452

310

11

63

28.181818

0.909747

0

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0.125

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0

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0.75

0

null

0

null

0

1

0

3

61db2666e29858ff8dfe13a2ccbf18aac664afb5

1,339

py

Python

service/migrations/0005_auto_20210902_1522.py

theonlykingpin/snapfoodclone

0c1a7839424e89d9bc7bfb55c150a92055759702

[ "MIT" ]

11

2021-09-17T07:44:05.000Z

2022-02-06T08:33:30.000Z

service/migrations/0005_auto_20210902_1522.py

theonlykingpin/snapfoodclone

0c1a7839424e89d9bc7bfb55c150a92055759702

[ "MIT" ]

1

2021-10-09T07:37:14.000Z

service/migrations/0005_auto_20210902_1522.py

theonlykingpin/snapfoodclone

0c1a7839424e89d9bc7bfb55c150a92055759702

[ "MIT" ]

3

2021-09-27T14:12:13.000Z

2021-10-18T12:21:37.000Z

# Generated by Django 3.2 on 2021-09-02 10:52 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('service', '0004_alter_service_address'), ] operations = [ migrations.RemoveField( model_name='serviceavailabletime', name='available_time', ), migrations.AddField( model_name='serviceavailabletime', name='close_time', field=models.TimeField(null=True, verbose_name='close time'), ), migrations.AddField( model_name='serviceavailabletime', name='day', field=models.PositiveSmallIntegerField(choices=[(0, 'saturday'), (1, 'sunday'), (2, 'monday'), (3, 'tuesday'), (4, 'wednesday'), (5, 'thursday'), (6, 'friday')], null=True, verbose_name='day'), ), migrations.AddField( model_name='serviceavailabletime', name='is_close', field=models.BooleanField(blank=True, null=True, verbose_name='close day'), ), migrations.AddField( model_name='serviceavailabletime', name='open_time', field=models.TimeField(null=True, verbose_name='open time'), ), migrations.DeleteModel( name='AvailableTime', ), ]

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0.769792

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0.020093

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1

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0

0.117647

0

null

0

1

0

1

0

null

0

3

61e3d984387f617242463dbfb78af7f13225b86a

171

py

Python

scripts/callmultiplier.py

tomunger/pythonnet.embedingtest

3aff2f85e06417375c40e31b3e4a838e9db91c15

[ "MIT" ]

3

2019-05-14T05:18:19.000Z

2022-01-28T13:48:33.000Z

scripts/callmultiplier.py

tomunger/pythonnet.embedingtest

3aff2f85e06417375c40e31b3e4a838e9db91c15

[ "MIT" ]

null

scripts/callmultiplier.py

tomunger/pythonnet.embedingtest

3aff2f85e06417375c40e31b3e4a838e9db91c15

[ "MIT" ]

1

2020-03-06T15:11:31.000Z

import clr from PythonNetTest import Multiplier def multiplyThese (a, b): m = Multiplier() return m.Multiply(a, b) # print "3 * 5: " + str(multiplyThese(3.0, 5.0))

14.25

48

0.672515

26

171

4.423077

0.653846

0.034783

0

0.043165

0.187135

171

11

49

15.545455

0.784173

0.269006

0

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0

0.4

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0.8

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1

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null

0

null

0

1

0

1

0

3

61e45f345290b348ddb44fbc3cd7a6a3a007da11

134

py

Python

test.py

sletort/pointpointgame

93a9649d4a1910e59d7e1061a1d072560bd43e0b

[ "MIT" ]

null

test.py

sletort/pointpointgame

93a9649d4a1910e59d7e1061a1d072560bd43e0b

[ "MIT" ]

null

test.py

sletort/pointpointgame

93a9649d4a1910e59d7e1061a1d072560bd43e0b

[ "MIT" ]

null

import random foo = ['battery', 'correct', 'horse', 'staple'] secure_random = random.SystemRandom() print(secure_random.choice(foo))

22.333333

47

0.731343

16

134

6

0.6875

0.25

0

0.097015

134

5

48

26.8

0.793388

0

0.186567

0

1

0

false

0

0.25

0

0.25

1

0

null

1

0

1

0

null

0

3

1114aa1a04310dd0d416f88392c7af990557fa97

274

py

Python

setup.py

ourlink/dash_subsidy

eeb535fa033303c5c3d671199dfd3eb7e84aaacf

[ "MIT" ]

null

setup.py

ourlink/dash_subsidy

eeb535fa033303c5c3d671199dfd3eb7e84aaacf

[ "MIT" ]

null

setup.py

ourlink/dash_subsidy

eeb535fa033303c5c3d671199dfd3eb7e84aaacf

[ "MIT" ]

null

from distutils.core import setup, Extension dash_subsidy_module = Extension('dash_subsidy', sources = ['dash_subsidy.cpp']) setup (name = 'dash_subsidy', version = '1.3', description = 'Subsidy function for Dash', ext_modules = [dash_subsidy_module])

30.444444

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33

274

5.575758

0.606061

0.298913

0.217391

0

0.008929

0.182482

274

8

80

34.25

0.8125

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1

0

false

0

0.166667

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0.166667

0

null

1

0

1

0

null

0

3

111b1a532f4a26bc954024257936a85b6c2e4a6c

623

py

Python

flaml/tune/__init__.py

wuchihsu/FLAML

54d303a95ab8615ec298a5a7a530f8d1d477bf68

[ "MIT" ]

1,747

2020-12-05T00:14:58.000Z

2022-03-31T20:54:09.000Z

flaml/tune/__init__.py

wuchihsu/FLAML

54d303a95ab8615ec298a5a7a530f8d1d477bf68

[ "MIT" ]

229

2020-12-14T06:19:16.000Z

2022-03-31T05:20:27.000Z

flaml/tune/__init__.py

wuchihsu/FLAML

54d303a95ab8615ec298a5a7a530f8d1d477bf68

[ "MIT" ]

260

2020-12-13T09:24:41.000Z

2022-03-27T04:09:51.000Z

try: from ray import __version__ as ray_version assert ray_version >= '1.0.0' from ray.tune import (uniform, quniform, choice, randint, qrandint, randn, qrandn, loguniform, qloguniform, lograndint, qlograndint) except (ImportError, AssertionError): from .sample import (uniform, quniform, choice, randint, qrandint, randn, qrandn, loguniform, qloguniform, lograndint, qlograndint) from .tune import run, report from .sample import polynomial_expansion_set from .sample import PolynomialExpansionSet, Categorical, Float from .trial import Trial

47.923077

84

0.704655

67

623

6.432836

0.507463

0.069606

0.111369

0.12529

0.440835

0

0.006211

0.224719

623

12

85

51.916667

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1

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true

0

0.666667

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null

0

null

0

1

0

1

0

1

0

3

1123d580ede84c34a052679d4d692e596e0907b8

234

py

Python

costurero/pytest/test_math.py

tonper19/PythonDemos

633a40e282049e511fd965c0afe104e775a2f526

[ "MIT" ]

null

costurero/pytest/test_math.py

tonper19/PythonDemos

633a40e282049e511fd965c0afe104e775a2f526

[ "MIT" ]

null

costurero/pytest/test_math.py

tonper19/PythonDemos

633a40e282049e511fd965c0afe104e775a2f526

[ "MIT" ]

null

def add(x, y): return x + y def subtract(x, y): return x - y def inc(x): return x + 1 def test_add(): assert add(1, 2) == 3 def test_subtract(): assert subtract(2, 1) == 1 def test_inc(): assert inc(1) == 2

14.625

30

0.555556

43

234

2.953488

0.27907

0.062992

0.125984

0.141732

0.204724

0

0.053892

0.286325

234

15

31

15.6

0.706587

0

0.25

1

0.5

false

0

0.25

0.75

0

null

0

null

0

1

0

1

0

3

1136642ecb74eb8306dbea2e2932c8f12fc0691d

395

py

Python

Modules/pred/classes.py

iheb-brini/fitness-lab

2d82d7a2ecba27f535cda880865e6d9ed446eac5

[ "MIT" ]

null

Modules/pred/classes.py

iheb-brini/fitness-lab

2d82d7a2ecba27f535cda880865e6d9ed446eac5

[ "MIT" ]

null

Modules/pred/classes.py

iheb-brini/fitness-lab

2d82d7a2ecba27f535cda880865e6d9ed446eac5

[ "MIT" ]

null

from abc import ABC, abstractmethod class AbstractPredictor(ABC): @abstractmethod def predict(self, model, x, **kwargs): pass class Prediction: predictor: AbstractPredictor def __init__(self, predictor: AbstractPredictor) -> None: self.predictor = predictor def run(self, model, x, **kwargs): return self.predictor.predict(model, x, **kwargs)

19.75

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42

395

6.261905

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0.068441

0.136882

0.121673

0

0.222785

395

19

62

20.789474

0.856678

0

1

0.272727

false

0.090909

0.727273

0

null

0

null

0

1

0

1

0

1

0

3

115e7464e6aca8858b8c090c5884b3514a14c4fa

835

py

Python

py_pdf_term/candidates/_candidates/filters/__init__.py

kumachan-mis/py-pdf-term

282505826ce8c626003e753068d15738d772ce46

[ "MIT" ]

null

py_pdf_term/candidates/_candidates/filters/__init__.py

kumachan-mis/py-pdf-term

282505826ce8c626003e753068d15738d772ce46

[ "MIT" ]

1

2021-08-02T13:02:12.000Z

py_pdf_term/candidates/_candidates/filters/__init__.py

kumachan-mis/py-pdf-term

282505826ce8c626003e753068d15738d772ce46

[ "MIT" ]

null

from .combiner import FilterCombiner from .term import ( BaseCandidateTermFilter, EnglishConcatenationFilter, EnglishNumericFilter, EnglishProperNounFilter, EnglishSymbolLikeFilter, JapaneseConcatenationFilter, JapaneseNumericFilter, JapaneseProperNounFilter, JapaneseSymbolLikeFilter, ) from .token import BaseCandidateTokenFilter, EnglishTokenFilter, JapaneseTokenFilter # isort: unique-list __all__ = [ "BaseCandidateTermFilter", "BaseCandidateTokenFilter", "EnglishConcatenationFilter", "EnglishNumericFilter", "EnglishProperNounFilter", "EnglishSymbolLikeFilter", "EnglishTokenFilter", "FilterCombiner", "JapaneseConcatenationFilter", "JapaneseNumericFilter", "JapaneseProperNounFilter", "JapaneseSymbolLikeFilter", "JapaneseTokenFilter", ]

26.935484

84

0.767665

39

835

16.333333

0.564103

0.144427

0.216641

0.288854

0

0.159281

835

30

85

27.833333

0.907407

0.021557

0

0.35092

0.263804

0

1

0

false

0

0.107143

0

0.107143

0

1

null

0

1

0

null

0

3

febd8757b43ccc6a58571d56c5bdcce95644a081

131

py

Python

jqfpy/loading/rec.py

podhmo/jqfpy

c733084751fbc700f642f23092e24da5b56afb98

[ "MIT" ]

13

2017-09-02T03:59:35.000Z

2021-10-05T01:42:16.000Z

jqfpy/loading/rec.py

podhmo/jqfpy

c733084751fbc700f642f23092e24da5b56afb98

[ "MIT" ]

32

2017-08-26T07:14:15.000Z

2021-01-21T13:21:02.000Z

jqfpy/loading/rec.py

podhmo/jqfpy

c733084751fbc700f642f23092e24da5b56afb98

[ "MIT" ]

1

2019-03-19T12:38:58.000Z

def consume_rec(xs, fn, n=0): if n <= 0: fn(xs) else: for x in xs: consume_rec(x, fn, n=n - 1)

18.714286

39

0.435115

24

131

2.291667

0.541667

0.363636

0

0.039474

0.419847

131

6

40

21.833333

0.684211

0

1

0.166667

false

0

0.166667

0

1

0

null

1

0

1

0

null

0

3

fefe039fcf5fe23f70c3e5ad59e3fcd357b14f51

420

py

Python

keras_dna/__init__.py

etirouthier/keras_dna

99cd0009cfac24fd58ba824fbaa64c4026850c0d

[ "MIT" ]

14

2020-11-04T01:45:21.000Z

2021-09-18T22:03:14.000Z

keras_dna/__init__.py

etirouthier/keras_dna

99cd0009cfac24fd58ba824fbaa64c4026850c0d

[ "MIT" ]

null

keras_dna/__init__.py

etirouthier/keras_dna

99cd0009cfac24fd58ba824fbaa64c4026850c0d

[ "MIT" ]

3

2020-12-02T06:51:00.000Z

2021-04-15T22:10:21.000Z

from __future__ import absolute_import from . import evaluation from . import normalization from . import extractors from . import generators from . import layers from . import model from . import utils from . import sequence # Also importable from root from .generators import Generator, MultiGenerator from .model import ModelWrapper from .sequence import SeqIntervalDl, StringSeqIntervalDl __version__ = '0.0.17'

22.105263

56

0.807143

51

420

6.470588

0.45098

0.242424

0

0.011173

0.147619

420

18

57

23.333333

0.910615

0.059524

0

0.015267

0

1

0

false

0

0.923077

0

0.923077

0

null

1

0

null

0

1

0

1

0

3

28a545e84e4d0e1d46d2e9dd5715f7992af38030

481

py

Python

Test/test_ImportCertificate.py

raghavendramanandi/SSLAutoPilot

e5b54dc54bb0710dce236aa98d22d46bc445f68a

[ "MIT" ]

null

Test/test_ImportCertificate.py

raghavendramanandi/SSLAutoPilot

e5b54dc54bb0710dce236aa98d22d46bc445f68a

[ "MIT" ]

null

Test/test_ImportCertificate.py

raghavendramanandi/SSLAutoPilot

e5b54dc54bb0710dce236aa98d22d46bc445f68a

[ "MIT" ]

null

import unittest from unittest import TestCase from importCertificate import getCommandForImport class TestImportCertificate(TestCase): def test_getKeyStoreCommand(self): command = getCommandForImport("certbotlocation", "location", "password") self.assertEqual(command, "keytool -import -trustcacerts -alias tomcat -file certbotlocation/0001_cert.perm -keystore location -noprompt -storepass password") if __name__ == '__main__': unittest.main()

34.357143

166

0.765073

45

481

7.955556

0.688889

0

0.009804

0.151767

481

13

167

37

0.867647

0

0.111111

0.349272

0.06237

0

0.111111

1

0.111111

false

0.222222

0.666667

0

0.888889

0

null

0

null

0

1

0

1

0

3

28a723339cfc0fcc41cb5ec9ea810b3c99d1c2bc

85

py

Python

ficheros/CSV/ejercicio altos cargos/numeurotonumdollar.py

txtbits/daw-python

5dde1207e2791e90aa5e9ce2b6afc4116129efab

[ "MIT" ]

null

ficheros/CSV/ejercicio altos cargos/numeurotonumdollar.py

txtbits/daw-python

5dde1207e2791e90aa5e9ce2b6afc4116129efab

[ "MIT" ]

null

ficheros/CSV/ejercicio altos cargos/numeurotonumdollar.py

txtbits/daw-python

5dde1207e2791e90aa5e9ce2b6afc4116129efab

[ "MIT" ]

null

dato = '21.999,32' dato = float(dato.replace('.', '').replace(',', '.')) print dato

17

53

0.552941

11

85

4.272727

0.636364

0

0.094595

0.129412

85

5

54

17

0.540541

0

0.139535

0

null

0

null

0.333333

1

0

null

0

1

0

null

0

1

0

3

28a96ab70caac00b217d928fa3bce38095545708

1,003

py

Python

manga_py/providers/mangareader_xyz.py

paulolimac/manga-py

3d180846750a4e770b5024eb8cd15629362875b1

[ "MIT" ]

1

2020-11-19T00:40:49.000Z

manga_py/providers/mangareader_xyz.py

paulolimac/manga-py

3d180846750a4e770b5024eb8cd15629362875b1

[ "MIT" ]

null

manga_py/providers/mangareader_xyz.py

paulolimac/manga-py

3d180846750a4e770b5024eb8cd15629362875b1

[ "MIT" ]

null

from manga_py.provider import Provider from .helpers.std import Std class MangaReaderXyz(Provider, Std): def get_chapter_index(self) -> str: re = self.re.compile(r'/chapter-(\d+(?:\.\d+)?)') return re.search(self.chapter).group(1).replace('.', '-') def get_main_content(self): return self._get_content('{}/manga/{}') def get_manga_name(self) -> str: if ~self.get_url().find('/manga/'): re = '/manga/([^/]+)' else: re = '/([^/]+)/chapter-' return self._get_name(re) def get_chapters(self): return self._elements('.table td > a,.chapter-list div.row a') def get_files(self): parser = self.html_fromstring(self.chapter + '/0') return self._images_helper(parser, '#view-chapter img,#vungdoc img') def get_cover(self) -> str: return self._cover_from_content('img.img-thumbnail,.manga-info-pic > img') def book_meta(self) -> dict: pass main = MangaReaderXyz

27.861111

82

0.60319

130

1,003

4.476923

0.438462

0.061856

0.04811

0

0.002581

0.227318

1,003

35

83

28.657143

0.748387

0

0.182453

0.05683

0

1

0.291667

false

0.041667

0.083333

0.125

0.666667

0

null

0

null

0

1

0

1

0

3

28e33fbcb8dce9fe7016099e8e75e2666a179906

314

py

Python

core/admin.py

mchlzhao/prophetic

cf9e7c315c73bc5afbb47ab3588eb1082f09b60e

[ "MIT" ]

null

core/admin.py

mchlzhao/prophetic

cf9e7c315c73bc5afbb47ab3588eb1082f09b60e

[ "MIT" ]

null

core/admin.py

mchlzhao/prophetic

cf9e7c315c73bc5afbb47ab3588eb1082f09b60e

[ "MIT" ]

null

from django.contrib import admin from .models import Group, Event, Market, Order, MarketPosition, Trade, Account admin.site.register(Group) admin.site.register(Event) admin.site.register(Market) admin.site.register(Order) admin.site.register(MarketPosition) admin.site.register(Trade) admin.site.register(Account)

31.4

79

0.818471

43

314

5.976744

0.348837

0.245136

0.463035

0

0.066879

314

10

80

31.4

0.877133

0

1

0

true

0

0.222222

0

0.222222

0

null

1

0

null

0

1

0

3

28f947a0308404179e0d07bade5bdad3346c3618

319

py

Python

worklets/resources/set-cookie.py

servo-wpt-sync/web-platform-tests

56e2df852354bc2b89e6d17a9dbafd280d24203c

[ "BSD-3-Clause" ]

null

worklets/resources/set-cookie.py

servo-wpt-sync/web-platform-tests

56e2df852354bc2b89e6d17a9dbafd280d24203c

[ "BSD-3-Clause" ]

null

worklets/resources/set-cookie.py

servo-wpt-sync/web-platform-tests

56e2df852354bc2b89e6d17a9dbafd280d24203c

[ "BSD-3-Clause" ]

null

def main(request, response): name = request.GET.first("name") source_origin = request.headers.get("origin", None); response.headers.set("Set-Cookie", name + "=value") response.headers.set("Access-Control-Allow-Origin", source_origin) response.headers.set("Access-Control-Allow-Credentials", "true")

45.571429

70

0.711599

40

319

5.625

0.475

0.2

0.24

0.213333

0.32

0

0.119122

319

6

71

53.166667

0.800712

0

0.278997

0.184953

0

1

0.166667

false

0

0.166667

0

null

0

1

0

1

0

null

0

3

28fbc18f1d2600096ba4e315e98618163bb58d7b

879

py

Python

pygithub3/requests/repos/hooks.py

teamorchard/python-github3

321385860cb2ecaea1221612682c20e8069768b0

[ "0BSD" ]

107

2015-01-06T09:47:27.000Z

2021-11-02T08:21:58.000Z

pygithub3/requests/repos/hooks.py

mikiec84/python-github3

321385860cb2ecaea1221612682c20e8069768b0

[ "0BSD" ]

16

2015-02-17T08:00:58.000Z

2019-09-17T17:23:44.000Z

pygithub3/requests/repos/hooks.py

mikiec84/python-github3

321385860cb2ecaea1221612682c20e8069768b0

[ "0BSD" ]

69

2015-01-02T14:38:29.000Z

2022-02-25T10:04:09.000Z

#!/usr/bin/env python # -*- encoding: utf-8 -*- from . import Request from pygithub3.resources.repos import Hook class List(Request): uri = 'repos/{user}/{repo}/hooks' resource = Hook class Get(Request): uri = 'repos/{user}/{repo}/hooks/{id}' resource = Hook class Create(Request): uri = 'repos/{user}/{repo}/hooks' resource = Hook body_schema = { 'schema': ('name', 'config', 'events', 'active'), 'required': ('name', 'config'), } class Update(Request): uri = 'repos/{user}/{repo}/hooks/{id}' resource = Hook body_schema = { 'schema': ('name', 'config', 'events', 'add_events', 'remove_events', 'active'), 'required': (), } class Test(Request): uri = 'repos/{user}/{repo}/hooks/{id}/test' class Delete(Request): uri = 'repos/{user}/{repo}/hooks/{id}'

17.938776

77

0.56314

99

879

4.959596

0.363636

0.1222

0.183299

0.232179

0.586558

0.464358

0.171079

0

0.002985

0.23777

879

48

78

18.3125

0.729851

0.050057

0

0.407407

0

0.336134

0.210084

0

1

0

false

0

0.074074

0

0.740741

0

null

0

1

0

null

0

1

0

3

28fcd6b34957bac42b9c069d6e022129ce614964

75

py

Python

web3_input_decoder/exceptions.py

kigawas/web3-input-decoder

7e9a250d7225e92fc731f5b52b2db4649098f363

[ "MIT" ]

13

2021-03-26T03:02:27.000Z

2022-03-23T11:27:55.000Z

web3_input_decoder/exceptions.py

kigawas/web3-input-decoder

7e9a250d7225e92fc731f5b52b2db4649098f363

[ "MIT" ]

47

2021-03-28T13:36:03.000Z

2022-03-29T16:19:12.000Z

web3_input_decoder/exceptions.py

kigawas/web3-input-decoder

7e9a250d7225e92fc731f5b52b2db4649098f363

[ "MIT" ]

3

2021-10-14T03:19:49.000Z

2022-03-03T09:41:03.000Z

__all__ = ("InputDataError",) class InputDataError(ValueError): pass

12.5

33

0.72

6

75

8.333333

0.833333

0

0.16

75

5

34

15

0.793651

0

0.186667

0

1

0

false

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

e910131f6d5db54d9d31fdd823ceb8bd716e3edb

299

py

Python

civic_sandbox/serializers.py

hackoregon/housing-2018

d0e23f942e2bb4e26c3bd4b30863fe468d64ff5f

[ "MIT" ]

1

2018-01-30T22:26:14.000Z

civic_sandbox/serializers.py

hackoregon/housing-2018

d0e23f942e2bb4e26c3bd4b30863fe468d64ff5f

[ "MIT" ]

21

2018-01-25T04:41:41.000Z

2021-06-10T20:13:47.000Z

civic_sandbox/serializers.py

hackoregon/housing-2018

d0e23f942e2bb4e26c3bd4b30863fe468d64ff5f

[ "MIT" ]

4

2018-01-25T04:19:40.000Z

2018-12-13T19:19:58.000Z

from rest_framework_gis.serializers import GeoFeatureModelSerializer from rest_framework.serializers import ModelSerializer from .models import Permit class PermitSerializer(GeoFeatureModelSerializer): class Meta: model = Permit geo_field = 'point' fields = '__all__'

24.916667

68

0.765886

29

299

7.62069

0.655172

0.072398

0.153846

0

0.187291

299

11

69

27.181818

0.909465

0

0.040134

0

1

0

false

0

0.375

0

0.625

0

1

0

null

0

null

0

1

0

1

0

3

e915979d37891b52d74fb6b20a694c39a517e615

775

py

Python

question/q6_1_ronri_enzan_equal.py

breeze-shared-inc/python_training_01

7e918b37adbce062ae279f060bc25cfacda2fb85

[ "MIT" ]

null

question/q6_1_ronri_enzan_equal.py

breeze-shared-inc/python_training_01

7e918b37adbce062ae279f060bc25cfacda2fb85

[ "MIT" ]

1

2020-05-11T04:59:04.000Z

2020-05-11T05:29:08.000Z

question/q6_1_ronri_enzan_equal.py

bzgwhite/python_training_01

7e918b37adbce062ae279f060bc25cfacda2fb85

[ "MIT" ]

null

""" 次のLESSONで行う条件分岐（IF文）処理を扱う上で重要です。論理演算とは００は真である（正しい）や００は偽である（正しくない）をプログラミングで表現します。プログラミングでは真と偽をそれぞれTrueとFalseで表現します。例 print(A == A) =>True print(1 == 2) =>False 次のLESSONの条件分岐はもし００が真なら〜と言う処理が行われます。まずは論理演算で扱う記号を活用できるようにしましょう！論理演算子一覧 AとBが等しい == is AとBが異なる != is not 問題：次のように出力せよ AとBが等しい(数字) True False True False AとBが等しい(文字列) True False True False AとBが異なる False True False True """ print("AとBが等しい(数字)") print(1 1) # True 記号で print(1 2) # False 記号で print(1 1) # True 文字で print(1 2) # False 文字で print("AとBが等しい(文字列)") print("山田" "山田") # True 記号で print("山田" "田中") # False 記号で print("山田" "山田") # True 文字で print("山田" "田中") # False 文字で print("AとBが異なる") print(1 1) # False 記号で print(1 2) # True 記号で print(1 1) # False 文字で print(1 2) # True 文字で

10.616438

32

0.683871

120

775

4.425

0.316667

0.101695

0.065913

0.067797

0

0.037677

0.178065

775

73

33

10.616438

0.794349

0.147097

0

0.8

0

0.188525

0

null

0

null

1

0

null

0

1

0

null

0

1

0

1

0

3

e94545e8824aa96331d3a1e327639574da90d2fc

219

py

Python

ghcontribs/__init__.py

dwhswenson/ghcontribs

759ee79453f85dd57185d6e5e6170227ae5fd8fb

[ "MIT" ]

null

ghcontribs/__init__.py

dwhswenson/ghcontribs

759ee79453f85dd57185d6e5e6170227ae5fd8fb

[ "MIT" ]

6

2021-11-11T23:54:38.000Z

2022-01-30T16:30:53.000Z

ghcontribs/__init__.py

dwhswenson/ghcontribs

759ee79453f85dd57185d6e5e6170227ae5fd8fb

[ "MIT" ]

null

from . import contrib from . import json_utils from .contrib import GitHubContrib, ContribType from .json_utils import write_json_file, load_json_file from .monthly import get_monthly_contribs, write_all_contrib_files

31.285714

66

0.853881

32

219

5.5

0.46875

0.113636

0

0.109589

219

6

67

36.5

0.902564

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

3

3a6105e6ce73c813126dc3e5719b45dfe3259b42

305

py

Python

by-session/ta-921/j10/a1.py

amiraliakbari/sharif-mabani-python

5d14a08d165267fe71c28389ddbafe29af7078c5

[ "MIT" ]

2

2015-04-29T20:59:35.000Z

2018-09-26T13:33:43.000Z

by-session/ta-921/j10/a1.py

amiraliakbari/sharif-mabani-python

5d14a08d165267fe71c28389ddbafe29af7078c5

[ "MIT" ]

null

by-session/ta-921/j10/a1.py

amiraliakbari/sharif-mabani-python

5d14a08d165267fe71c28389ddbafe29af7078c5

[ "MIT" ]

null

a = [] def f(n, k): if k == 0: if n == 0: print a return if n < 0: print "invalid:", a return a.append(0) f(n, k-1) a.pop() a.append(1) f(n-1, k-1) a.pop() a.append(2) f(n-2, k-1) a.pop() f(5, 3)

14.52381

28

0.337705

53

305

1.943396

0.301887

0.07767

0.087379

0.174757

0.252427

0

0.082803

0.485246

305

21

29

14.52381

0.573248

0

0.263158

0

0.027972

0

null

0

null

0.105263

0

1

null

0

1

0

null

0

1

0

3

3a772fa991ab9060f141f0916240a325fd4f195e

133

py

Python

dplhooks/deploys/urls.py

cschlay/dplhooks

bdeb77f3e4e2345da2f98eb9815b22c857d4e996

[ "MIT" ]

null

dplhooks/deploys/urls.py

cschlay/dplhooks

bdeb77f3e4e2345da2f98eb9815b22c857d4e996

[ "MIT" ]

4

2021-03-30T14:07:19.000Z

2021-06-10T19:58:54.000Z

dplhooks/deploys/urls.py

cschlay/dplhooks

bdeb77f3e4e2345da2f98eb9815b22c857d4e996

[ "MIT" ]

null

from django.urls import path from dplhooks.deploys import views urlpatterns = [ path('p/deploy', views.DeployView.as_view()) ]

16.625

48

0.736842

18

133

5.388889

0.777778

0

0.150376

133

7

49

19

0.858407

0

0.06015

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

3a776046989c2a414d1dbeafe896f62f2302ec30

159

py

Python

digicert_express/platforms/ubuntu_platform.py

digicert/digicert_express

292fb4e7f8a39e53c384a79c50a9488c51258f97

[ "MIT" ]

2

2017-03-03T20:37:29.000Z

2018-06-01T22:22:15.000Z

digicert_express/platforms/ubuntu_platform.py

digicert/digicert_express

292fb4e7f8a39e53c384a79c50a9488c51258f97

[ "MIT" ]

null

digicert_express/platforms/ubuntu_platform.py

digicert/digicert_express

292fb4e7f8a39e53c384a79c50a9488c51258f97

[ "MIT" ]

2

2018-01-26T07:11:42.000Z

2019-03-06T23:30:39.000Z

from base_platform import BasePlatform class UbuntuPlatform(BasePlatform): APACHE_SERVICE = 'apache2ctl' APACHE_RESTART_COMMAND = 'service apache2 restart'

26.5

51

0.836478

17

159

7.588235

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0

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0.106918

159

5

52

31.8

0.894366

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1

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1

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null

0

1

0

null

0

1

0

3

3a92278b2c73de077df8f2a1e59980057667a367

145

py

Python

classification/tests/test_classifier.py

magesh-technovator/serverless-transformers-on-aws-lambda

2bc3c320d29fe73955fc0d98476391620550b5d7

[ "Apache-2.0" ]

103

2021-07-11T12:50:47.000Z

2022-03-02T15:34:04.000Z

classification/tests/test_classifier.py

k-for-code/serverless-transformers-on-aws-lambda

11f347e007fb3f54a1e2f3870a06698f9af0d629

[ "Apache-2.0" ]

8

2021-07-15T09:14:46.000Z

2021-07-22T03:44:46.000Z

classification/tests/test_classifier.py

k-for-code/serverless-transformers-on-aws-lambda

11f347e007fb3f54a1e2f3870a06698f9af0d629

[ "Apache-2.0" ]

16

2021-07-13T08:58:22.000Z

2022-02-07T20:31:34.000Z

from src.classifier import Classifier pipeline = Classifier() def test_response(requests, response): assert response == pipeline(requests)

20.714286

41

0.77931

16

145

7

0.625

0

0.137931

145

6

42

24.166667

0.896

0

0.25

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0.25

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0

0.25

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null

0

1

0

null

0

1

0

3

3ab1b449154c7f04f1cbb92fd0e8f6c978a1e769

195

py

Python

app/planeks_news/admin.py

smak0v/planeks_news

bcc02a1ddafa609ccb7e3bf381109ba696e1eb87

[ "MIT" ]

null

app/planeks_news/admin.py

smak0v/planeks_news

bcc02a1ddafa609ccb7e3bf381109ba696e1eb87

[ "MIT" ]

8

2020-06-15T10:49:56.000Z

2022-01-13T02:52:35.000Z

app/planeks_news/admin.py

smak0v/planeks_news

bcc02a1ddafa609ccb7e3bf381109ba696e1eb87

[ "MIT" ]

null

from django.contrib.admin import AdminSite class PlaneksNewsAdminSite(AdminSite): site_header = 'PLANEKS News Administration' admin_site = PlaneksNewsAdminSite(name='planeks_news_admin')

21.666667

60

0.815385

21

195

7.380952

0.666667

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0.112821

195

8

61

24.375

0.895954

0

0.230769

0

1

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false

0

0.25

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0.75

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1

0

null

0

1

0

null

0

1

0

3

3abdcc5b3a7c4292cdc63fb243ce18eb4357a881

204

py

Python

standard_lib/file_matching_regex.py

DahlitzFlorian/python-snippets

212f63f820b6f5842f74913ed08da18d41dfe7a4

[ "MIT" ]

29

2019-03-25T09:35:12.000Z

2022-01-08T22:09:03.000Z

standard_lib/file_matching_regex.py

DahlitzFlorian/python-snippets

212f63f820b6f5842f74913ed08da18d41dfe7a4

[ "MIT" ]

null

standard_lib/file_matching_regex.py

DahlitzFlorian/python-snippets

212f63f820b6f5842f74913ed08da18d41dfe7a4

[ "MIT" ]

4

2020-05-19T21:18:12.000Z

2021-05-18T12:49:21.000Z

import fnmatch import os import re reg = "({})|({})".format(fnmatch.translate("*.md"), fnmatch.translate("*.git*")) markdown_files = [f for f in os.listdir() if re.match(reg, f)] print(markdown_files)

20.4

80

0.671569

30

204

4.5

0.6

0.237037

0

0.117647

204

9

81

22.666667

0.75

0

0.093137

0

1

0

false

0

0.5

0

0.5

0.166667

0

null

1

0

1

0

null

0

1

0

3

aafe920b29dcd58c5bf1a9b42533f150c7888147

292

py

Python

hooks/pre_gen_project.py

aubricus/cookiecutter-python-package

666af04831a652338287736b9c2e4e621cbe1cbe

[ "MIT" ]

null

hooks/pre_gen_project.py

aubricus/cookiecutter-python-package

666af04831a652338287736b9c2e4e621cbe1cbe

[ "MIT" ]

3

2020-09-17T07:36:59.000Z

2020-09-17T07:39:31.000Z

hooks/pre_gen_project.py

aubricus/cookiecutter-python-package

666af04831a652338287736b9c2e4e621cbe1cbe

[ "MIT" ]

1

2020-10-10T18:31:58.000Z

"""Cookiecutter pre_gen_project hook. See: https://cookiecutter.readthedocs.io/en/1.7.2/advanced/hooks.html """ import os import shutil import fileinput from pathlib import Path def run(): """Run pre gen hook functions.""" # NOTE: Do not delete this or the hook will not run. run()

16.222222

69

0.722603

46

292

4.543478

0.73913

0.057416

0

0.012195

0.157534

292

17

70

17.176471

0.837398

0.633562

0

1

0.166667

true

0

0.666667

0

0.833333

0

null

0

null

0

1

0

1

0

1

0

3

c9396290a6a8347c883817be1dcb68e6b6312d4c

488

py

Python

fluent-python-code/01-data-model/vector.py

dym0080/learn-python

2c1f34e9fa249334305350cf4f7fefb351871bda

[ "MIT" ]

null

fluent-python-code/01-data-model/vector.py

dym0080/learn-python

2c1f34e9fa249334305350cf4f7fefb351871bda

[ "MIT" ]

null

fluent-python-code/01-data-model/vector.py

dym0080/learn-python

2c1f34e9fa249334305350cf4f7fefb351871bda

[ "MIT" ]

null

from math import hypot class Vector: def __init__(self,x=0,y=0): self.x=x self.y=y def __repr__(self): return 'Vector(%r,%r)' % (self.x,self.y) def __abs__(self): return hypot(self.x,self.y) def __bool__(self): return bool(abs(self)) def __add__(self,other): x=self.x+other.x y=self.y+other.y return Vector(x,y) def __mul__(self,scalar): return Vector(self.x*scalar,self.y * scalar)

21.217391

52

0.569672

76

488

3.342105

0.276316

0.11811

0.070866

0.07874

0.102362

0

0.005764

0.288934

488

23

52

21.217391

0.726225

0

0.026585

0

1

0.352941

false

0

0.058824

0.235294

0.764706

0

null

0

null

0

1

0

1

0

3

c955ad5a426b20afccce06cdb6ff1bf87b34a80f

1,110

py

Python

build/lib/atesa/test/test_return_rcs.py

team-mayes/atesa_OLD

2bbe0650dfe055ce0d962046eeff783499f5a12a

[ "MIT" ]

null

build/lib/atesa/test/test_return_rcs.py

team-mayes/atesa_OLD

2bbe0650dfe055ce0d962046eeff783499f5a12a

[ "MIT" ]

null

build/lib/atesa/test/test_return_rcs.py

team-mayes/atesa_OLD

2bbe0650dfe055ce0d962046eeff783499f5a12a

[ "MIT" ]

null

# from unittest import TestCase # # # class TestReturn_rcs(TestCase): # def test_return_rcs(self): # self.fail() # literal_ops = True # # # rc_values = [] # for i in range(traj.__len__()): # iterate through frames # op_values = candidatevalues(thread,frame=i).split(' ') # OP values as a list # equation = rc_definition # if literal_ops: # candidateops = [candidateops] # to fix error where candidateops has unexpected format # for j in reversed(range(len(candidateops[0]))): # for each candidate op... (reversed to avoid e.g. 'OP10' -> 'candidatevalues(..., 0)0') # equation = equation.replace('OP' + str(j + 1), 'op_values[j]') # rc_values.append(eval(equation)) # commit_flag = 'False' # return 'False' if no beads are in bounds # for value in rc_values: # if rc_min <= value <= rc_max: # todo: this needs to be changed to the min and max of the given window that this thread is constrained to # commit_flag = 'True' # return 'True' if any of the beads are in bounds. # break

44.4

146

0.622523

150

1,110

4.48

0.56

0.035714

0.029762

0.047619

0

0.007308

0.26036

1,110

24

147

46.25

0.811206

0.95045

0

null

0

null

0

null

0

0.041667

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

1

0

3

c97eef50910294271c29379403bbe3d5ca1cfa5f

792

py

Python

pypedream/expressions/equation.py

Nukleon84/pypedream

de074e1b21d65eb3a02e1b0719fff1b4c2b7ae92

[ "MIT" ]

9

2020-05-17T15:23:33.000Z

2021-04-28T19:03:00.000Z

pypedream/expressions/equation.py

Nukleon84/pypedream

de074e1b21d65eb3a02e1b0719fff1b4c2b7ae92

[ "MIT" ]

1

2020-07-30T11:53:53.000Z

pypedream/expressions/equation.py

Nukleon84/pypedream

de074e1b21d65eb3a02e1b0719fff1b4c2b7ae92

[ "MIT" ]

null

from . basic import Expression,Variable class Equation(object): def __init__(self, rhs, name=""): self.name=name self.rhs=rhs self.variables=[] self.exploreVariables(rhs) return def exploreVariables(self, expr): if(isinstance(expr,Variable)): if expr not in self.variables: self.variables.append(expr) else: for child in expr.children: self.exploreVariables(child) return def residual(self): return self.rhs.eval() def reset(self): self.rhs.reset() return def __str__(self): return f"{self.rhs} = {self.residual()}" def __repr__(self): return self.__str__()

24.75

48

0.539141

82

792

5.012195

0.390244

0.085158

0.082725

0

0.359848

792

32

49

24.75

0.810651

0

0.12

0

0.037831

0

1

0.24

false

0

0.04

0.12

0.56

0

null

0

null

0

1

0

1

0

3

a322b7bb4376182350470e14568005ce94682e2f

3,754

py

Python

tests/test_cfloader.py

shachibista/mloader

43f91542188888717885183dec24bf17cf9fef48

[ "MIT" ]

null

tests/test_cfloader.py

shachibista/mloader

43f91542188888717885183dec24bf17cf9fef48

[ "MIT" ]

5

2020-09-30T22:11:05.000Z

2020-09-30T22:15:00.000Z

tests/test_cfloader.py

shachibista/cfloader

43f91542188888717885183dec24bf17cf9fef48

[ "MIT" ]

null

#!/usr/bin/env python """Tests for `cfloader` package.""" import json from pathlib import Path import pytest import cfloader from cfloader.loader import Loader from cfloader.readers import ConfigFileNotFoundError def test_cfloader_can_open_path_objects(): config_filepath = Path("tests/examples/config.json") loader = cfloader.open(config_filepath) def test_cfloader_can_open_str_paths(): config_filepath = "tests/examples/config.json" loader = cfloader.open(config_filepath) def test_cfloader_can_open_dicts(): config_dict = {} loader = cfloader.open(config_dict) assert isinstance(loader, Loader) assert loader.config == config_dict def test_cfloader_open_returns_loader(): config_filepath = Path("tests/examples/config.json") loader = cfloader.open(config_filepath) assert isinstance(loader, Loader) assert loader.config == json.loads(config_filepath.read_text()) def test_cfloader_can_open_zip_files(): archive_path = "tests/examples/archive.zip" loader = cfloader.open(cfloader.Archive(archive_path)) assert isinstance(loader, Loader) import zipfile with zipfile.ZipFile(archive_path, "r") as archive_fs: with archive_fs.open("config.json", "r") as config_file: assert loader.config == json.load(config_file) def test_cfloader_can_open_tar_files(): archive_path = "tests/examples/archive.tar" loader = cfloader.open(cfloader.Archive(archive_path)) assert isinstance(loader, Loader) import tarfile with tarfile.open(archive_path, "r") as archive_fs: config_fileinfo = archive_fs.getmember("config.json") config_file = archive_fs.extractfile(config_fileinfo) assert loader.config == json.loads(config_file.read()) def test_cfloader_can_open_tar_gz_files(): archive_path = "tests/examples/archive.tar.gz" loader = cfloader.open(cfloader.Archive(archive_path)) assert isinstance(loader, Loader) import tarfile with tarfile.open(archive_path, "r:gz") as archive_fs: config_fileinfo = archive_fs.getmember("config.json") config_file = archive_fs.extractfile(config_fileinfo) assert loader.config == json.loads(config_file.read()) # disabled because extractfile returns a <ExFileObject name=None> # def test_cfloader_can_open_tar_bz_files(): # archive_path = "tests/examples/archive.tar.bz" # loader = cfloader.open(cfloader.Archive(archive_path)) # assert isinstance(loader, Loader) # import tarfile # with tarfile.open(archive_path, "r:bz2") as archive_fs: # config_fileinfo = archive_fs.getmember("config.json") # config_file = archive_fs.extractfile(config_fileinfo) # breakpoint() # assert loader.config == json.loads(config_file.read()) def test_cfloader_can_open_tar_xz_files(): archive_path = "tests/examples/archive.tar.xz" loader = cfloader.open(cfloader.Archive(archive_path)) assert isinstance(loader, Loader) import tarfile with tarfile.open(archive_path, "r:xz") as archive_fs: config_fileinfo = archive_fs.getmember("config.json") config_file = archive_fs.extractfile(config_fileinfo) assert loader.config == json.loads(config_file.read()) def test_cfloader_complains_if_config_not_found_in_zip_archive(): archive_path = "tests/examples/archive.zip" with pytest.raises(ConfigFileNotFoundError): loader = cfloader.open(cfloader.Archive(archive_path, "cfg.json")) def test_cfloader_complains_if_config_not_found_in_tar_archive(): archive_path = "tests/examples/archive.tar.xz" with pytest.raises(ConfigFileNotFoundError): loader = cfloader.open(cfloader.Archive(archive_path, "cfg.json"))

34.440367

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477

3,754

5.534591

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0.079167

0.0625

0.054545

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0.794697

0.728409

0.620076

0.593939

0

0.000317

0.160895

3,754

109

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34.440367

0.837778

0.157698

0

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0

0.099809

0.077241

0

0.184615

1

0.153846

false

0

0.153846

0

0.307692

0

null

0

1

0

null

0

3

a343bbdb638fd183d6cf3b766992497a452a95d1

6,065

py

Python

ambuild2/frontend/v2_2/cpp/msvc.py

Wend4r/ambuild

cbf415104b1e7ac6baaf614cda517a5a2e827a42

[ "BSD-3-Clause" ]

null

ambuild2/frontend/v2_2/cpp/msvc.py

Wend4r/ambuild

cbf415104b1e7ac6baaf614cda517a5a2e827a42

[ "BSD-3-Clause" ]

null

ambuild2/frontend/v2_2/cpp/msvc.py

Wend4r/ambuild

cbf415104b1e7ac6baaf614cda517a5a2e827a42

[ "BSD-3-Clause" ]

null

# vim: set ts=8 sts=4 sw=4 tw=99 et: # # This file is part of AMBuild. # # AMBuild is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # AMBuild is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with AMBuild. If not, see <http://www.gnu.org/licenses/>. import os import re from ambuild2 import util from ambuild2.frontend.v2_2.cpp.deptypes import PchNodes from ambuild2.frontend.v2_2.cpp.vendor import Archiver, Linker, Vendor # Microsoft Visual C++ class MSVC(Vendor): def __init__(self, version): super(MSVC, self).__init__(version) @property def name(self): return 'msvc' @property def behavior(self): return 'msvc' @property def family(self): return 'msvc' def like(self, name): return name == 'msvc' @property def definePrefix(self): return '/D' @property def objSuffix(self): return '.obj' @property def debugInfoArgv(self): return ['/Z7'] def makePchArgv(self, source_file, pch_file, source_type): return ['/showIncludes', '/nologo', '/Yc', '/c', source_file, '/Fp' + pch_file] def parseDebugInfoType(self, debuginfo): if debuginfo == 'bundled': return 'separate' return debuginfo def objectArgs(self, sourceFile, objFile): return ['/showIncludes', '/nologo', '/c', sourceFile, '/Fo' + objFile] def programLinkArgv(self, cmd_argv, files, linkFlags, symbolFile, outputFile): argv = cmd_argv + files argv += ['/link'] argv += linkFlags argv += [ '/OUT:' + outputFile, '/nologo', ] if symbolFile: argv += ['/DEBUG', '/PDB:"' + symbolFile + '.pdb"'] return argv def libLinkArgv(self, cmd_argv, files, linkFlags, symbolFile, outputFile): argv = cmd_argv + files argv += ['/link'] argv += linkFlags argv += [ '/OUT:' + outputFile, '/nologo', '/DLL', ] if symbolFile: argv += ['/DEBUG', '/PDB:"' + symbolFile + '.pdb"'] return argv def preprocessArgv(self, sourceFile, outFile): return ['/showIncludes', '/nologo', '/P', '/c', sourceFile, '/Fi' + outFile] @staticmethod def IncludePath(output_path, include_path): assert os.path.isabs(output_path) output_path = os.path.normcase(output_path) if not os.path.isabs(include_path): abs_include_path = os.path.join(output_path, include_path) else: abs_include_path = include_path abs_include_path = os.path.normcase(abs_include_path) # Hack - try and get a relative path because CL, with either # /Zi or /ZI, combined with subprocess, apparently tries and # looks for paths like c:\bleh\"c:\bleh" <-- wtf # .. this according to Process Monitor output_drive, _ = os.path.splitdrive(output_path) include_drive, _ = os.path.splitdrive(abs_include_path) if output_drive != include_drive: return os.path.normcase(include_path) return os.path.relpath(abs_include_path, output_path) def formatInclude(self, build_root, output_path, include): return ['/I', MSVC.IncludePath(output_path, include)] def formatPchInclude(self, build_root, output_path, pch): folder, header_name = os.path.split(pch.header_file.path) # Include path calculation expects a path relative to output_path, so # we need to transform it. pch_rel_folder = os.path.relpath(os.path.join(build_root, pch.pch_file.path), output_path) argv = [ '/Fp' + MSVC.IncludePath(output_path, pch_rel_folder), '/Yu' + header_name, '/I', MSVC.IncludePath(output_path, folder), ] return argv ## # MSVC-specific properties. ## @property def shared_pdb_name(self): cl_version = int(self.version_string) # Truncate down to the major version then correct the offset # There is some evidence that the first digit of the minor version can be used for the PDB, but I can't reproduce it cl_version = int(cl_version / 100) - 6 # Microsoft introduced a discontinuity with vs2015 if cl_version >= 13: cl_version += 1 # Pad it back out again cl_version *= 10 return 'vc{0}.pdb'.format(cl_version) # cl.exe /showIncludes does not show anything at all for precompiled headers, # so the only way we can build a proper dependency is by rebuilding every # source file that *might* use the PCH, whether or not it actually does. @property def pch_needs_strong_deps(self): return True # cl.exe precompiles source files, technically, not headers. So we need to # link against something. @property def pch_needs_source_file(self): return True @property def shared_pdb_flags(self): return set(['/Zi', '/ZI']) def nameForPch(self, source_file): return os.path.splitext(source_file)[0] + '.pch' @property def emits_dependency_file(self): return False class MsvcLinker(Linker): def __init__(self): super(MsvcLinker, self).__init__() def like(self, name): return name == 'msvc' class MsvcArchiver(Archiver): def __init__(self): super(MsvcArchiver, self).__init__() def like(self, name): return name == 'msvc' def makeArgv(self, base_argv, files, outputFile): return base_argv + ['/OUT:' + outputFile] + files

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6,065

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null

0

null

0

1

0

1

0

3

a347f455c70bd8efd3fcd1cd0f76b70b534fc7a4

454

py

Python

src/python/WMCore/WMBS/Oracle/Subscriptions/KillWorkflow.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

21

2015-11-19T16:18:45.000Z

2021-12-02T18:20:39.000Z

src/python/WMCore/WMBS/Oracle/Subscriptions/KillWorkflow.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

5,671

2015-01-06T14:38:52.000Z

2022-03-31T22:11:14.000Z

src/python/WMCore/WMBS/Oracle/Subscriptions/KillWorkflow.py

khurtado/WMCore

f74e252412e49189a92962945a94f93bec81cd1e

[ "Apache-2.0" ]

67

2015-01-21T15:55:38.000Z

2022-02-03T19:53:13.000Z

#!/usr/bin/env python """ _KillWorkflow_ Oracle implementation of Subscriptions.KillWorkflow """ from WMCore.WMBS.MySQL.Subscriptions.KillWorkflow import KillWorkflow as MySQLKillWorkflow class KillWorkflow(MySQLKillWorkflow): """ _KillWorkflow_ Mark all files that are not complete/failed and belong to a particular workflow as failed. Ignore Cleanup and LogCollect subscriptions as we still want those to run. """ pass

23.894737

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0.759912

53

454

6.433962

0.754717

0.146628

0

0.178414

454

18

91

25.222222

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1

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true

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0

null

0

null

0

1

0

3

a359e2e5049e17c7f4418bdb5a1b11f1cb2bbab4

4,467

py

Python

tests/test_reflector.py

yuvipanda/kubernetes-informers

b32ebae7350745897e95cf44f5fa149deddec22f

[ "BSD-3-Clause" ]

2

2018-12-02T20:46:06.000Z

2018-12-03T01:54:11.000Z

tests/test_reflector.py

yuvipanda/kubernetes-informers

b32ebae7350745897e95cf44f5fa149deddec22f

[ "BSD-3-Clause" ]

null

tests/test_reflector.py

yuvipanda/kubernetes-informers

b32ebae7350745897e95cf44f5fa149deddec22f

[ "BSD-3-Clause" ]

null

from kubernetes_informers import Reflector, CoalescingQueue from kubernetes_informers.reflector import Delta import asyncio import pytest from kubernetes_asyncio import client def make_pod(ns, name, rv): return client.V1Pod( metadata=client.V1ObjectMeta(namespace=ns, resource_version=rv, name=name), ) @pytest.mark.asyncio async def test_single_changes(): """ Validate deltas with single object changes only """ states = [ # Initial state is empty [], # Add pod1 [make_pod('ns', 'pod1', 1) ], # Add pod2 [ make_pod('ns', 'pod1', 1), make_pod('ns', 'pod2', 1) ], # Change pod1 [ make_pod('ns', 'pod1', 2), make_pod('ns', 'pod2', 1) ], # Delete pod1 [ make_pod('ns', 'pod2', 1) ], # Change pod2 [ make_pod('ns', 'pod2', 2) ], # Delete pod2 [], ] deltas = [ Delta(type='added', resource=make_pod('ns', 'pod1', 1)), Delta(type='added', resource=make_pod('ns', 'pod2', 1)), Delta(type='changed', resource=make_pod('ns', 'pod1', 2)), Delta(type='deleted', resource=make_pod('ns', 'pod1', 2)), Delta(type='changed', resource=make_pod('ns', 'pod2', 2)), Delta(type='deleted', resource=make_pod('ns', 'pod2', 2)), ] yield_states = iter(states) async def fake_list_method(namespace, *args, **kwargs): assert namespace == 'ns' state = next(yield_states) return client.V1PodList(items=state) q = CoalescingQueue() r = Reflector(q, fake_list_method, 'ns', resync_period=0.1) reflect_future = asyncio.ensure_future(r.reflect()) for expected_delta in deltas: delta = await q.get() assert delta == expected_delta reflect_future.cancel() @pytest.mark.asyncio async def test_multiple_changes(): """ Validate deltas with single object changes only """ states = [ # Initial state is empty [], # Add two pods [ make_pod('ns', 'pod1', 1), make_pod('ns', 'pod2', 1) ], # Change pod1 [ make_pod('ns', 'pod1', 2), make_pod('ns', 'pod2', 1) ], # Delete pod1 [ make_pod('ns', 'pod2', 1) ], # Change pod2 [ make_pod('ns', 'pod2', 2) ], # Add pod3 and pod4 [ make_pod('ns', 'pod2', 2), make_pod('ns', 'pod3', 1), make_pod('ns', 'pod4', 1), ], # Change pod3 and pod4 [ make_pod('ns', 'pod2', 2), make_pod('ns', 'pod3', 2), make_pod('ns', 'pod4', 2), ], # Delete all pods [], ] delta_batches = [ [ Delta(type='added', resource=make_pod('ns', 'pod1', 1)), Delta(type='added', resource=make_pod('ns', 'pod2', 1)), ], [ Delta(type='changed', resource=make_pod('ns', 'pod1', 2)), ], [ Delta(type='deleted', resource=make_pod('ns', 'pod1', 2)), ], [ Delta(type='changed', resource=make_pod('ns', 'pod2', 2)), ], [ Delta(type='added', resource=make_pod('ns', 'pod3', 1)), Delta(type='added', resource=make_pod('ns', 'pod4', 1)), ], [ Delta(type='changed', resource=make_pod('ns', 'pod3', 2)), Delta(type='changed', resource=make_pod('ns', 'pod4', 2)), ], [ Delta(type='deleted', resource=make_pod('ns', 'pod2', 2)), Delta(type='deleted', resource=make_pod('ns', 'pod3', 2)), Delta(type='deleted', resource=make_pod('ns', 'pod4', 2)), ] ] yield_states = iter(states) async def fake_list_method(namespace, *args, **kwargs): assert namespace == 'ns' state = next(yield_states) return client.V1PodList(items=state) q = CoalescingQueue() r = Reflector(q, fake_list_method, 'ns', resync_period=0.1) reflect_future = asyncio.ensure_future(r.reflect()) for delta_batch in delta_batches: while len(delta_batch) != 0: delta = await q.get() assert delta in delta_batch delta_batch.remove(delta) reflect_future.cancel()

27.404908

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0

null

0

1

0

1

0

null

0

3

a388ad1a4fbf65486325ab924892693b3f2e1f77

296

py

Python

accounts/forms.py

knyghty/bord

b5c607a6d4ee05255d8e6e77a531b0481966860b

[ "MIT" ]

null

accounts/forms.py

knyghty/bord

b5c607a6d4ee05255d8e6e77a531b0481966860b

[ "MIT" ]

4

2016-11-05T02:53:02.000Z

2018-01-13T19:57:24.000Z

accounts/forms.py

knyghty/bord

b5c607a6d4ee05255d8e6e77a531b0481966860b

[ "MIT" ]

null

from django.contrib.auth import get_user_model from django.contrib.auth.forms import UserCreationForm class UserCreationForm(UserCreationForm): """A form that creates a user.""" class Meta(UserCreationForm.Meta): model = get_user_model() fields = ('username', 'email')

26.909091

54

0.722973

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296

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0.542857

0.095238

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0.2

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0.175676

296

10

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29.6

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0.091216

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0

0.333333

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null

0

1

0

null

0

1

0

1

0

3

6e6338830a60df5dff718e760d90f65b2cf8baf7

488

py

Python

benri/cloudpickle_wrapper.py

MaxOSmith/benri

ef3333adc8f4c5680b8f5a8cac225eb25bb713fa

[ "MIT" ]

null

benri/cloudpickle_wrapper.py

MaxOSmith/benri

ef3333adc8f4c5680b8f5a8cac225eb25bb713fa

[ "MIT" ]

null

benri/cloudpickle_wrapper.py

MaxOSmith/benri

ef3333adc8f4c5680b8f5a8cac225eb25bb713fa

[ "MIT" ]

null

""" Class to serialize data for multiprocessing. Inspired by: https://github.com/openai/baselines/blob/master/baselines/common/vec_env/__init__.py """ import cloudpickle import pickle class CloudpickleWrapper(object): """ Uses `cloudpickle` to serialize contents. """ def __init__(self, data): self.data = data def __getstate__(self): return cloudpickle.dumps(self.x) def __setstate__(self, data): self.data = pickle.loads(data)

23.238095

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488

5.561404

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0.07571

0.100946

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0.202869

488

21

98

23.238095

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0.333333

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0

0.222222

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null

0

null

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1

0

1

0

3

6e9cbc7c946be4354e3e7bc9dce1aeb5f37fd2b9

829

py

Python

src/fpm_tablut_player/utils/timer.py

contimatteo/PMF-Tablut-Player

9886583d2027beb2c0941c753f78bfb42ba8ae36

[ "MIT" ]

null

src/fpm_tablut_player/utils/timer.py

contimatteo/PMF-Tablut-Player

9886583d2027beb2c0941c753f78bfb42ba8ae36

[ "MIT" ]

null

src/fpm_tablut_player/utils/timer.py

contimatteo/PMF-Tablut-Player

9886583d2027beb2c0941c753f78bfb42ba8ae36

[ "MIT" ]

null

import time ### class Timer: start_time: float def __init__(self): self.start_time = None def start(self): if self.start_time is not None: raise Exception(f"Timer is running. Use .stop() to stop it") self.start_time = time.perf_counter() return self def stop(self): if self.start_time is None: raise Exception(f"Timer is not running. Use .start() to start it") self.start_time = None return self def get_elapsed_time(self) -> float: if self.start_time is None: raise Exception(f"Timer is not running. Use .start() to start it") return time.perf_counter() - self.start_time def get_time_left(self, threshold: float) -> float: return float(threshold) - self.get_elapsed_time()

22.405405

78

0.618818

116

829

4.25

0.241379

0.146045

0.184584

0.091278

0.387424

0.283976

0

0.289505

829

36

79

23.027778

0.837012

0

0.380952

0

0.159806

0

1

0.238095

false

0

0.047619

0.571429

0

null

0

1

0

null

0

1

0

1

0

3

6ede655702f64d649af56d2fc654df5d03ded272

141

py

Python

src/__init__.py

LeRyc/Robust-Robotic-Manipulation

0463c55bd689081c119f1fc024f4c22704f91c6f

[ "MIT" ]

1

2020-12-07T08:39:52.000Z

src/__init__.py

LeRyc/Robust-Robotic-Manipulation

0463c55bd689081c119f1fc024f4c22704f91c6f

[ "MIT" ]

null

src/__init__.py

LeRyc/Robust-Robotic-Manipulation

0463c55bd689081c119f1fc024f4c22704f91c6f

[ "MIT" ]

null

"""Collects all defined and implemented observer modules.""" from src.observer.base_observer import BaseObserver __all__ = ["BaseObserver"]

28.2

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0.794326

16

141

6.6875

0.75

0

0.106383

141

5

61

28.2

0.849206

0.382979

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0.146341

0

1

0

false

0

0.5

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0.5

0

1

0

null

0

1

0

null

0

1

0

3

6eecfea751f48d2adef3410970f44b6f0a6f4f45

327

py

Python

main.py

kalDima1218/schet-drevnih-shizov

8656d55044201900106379d9897df8fbca160156

[ "Unlicense" ]

null

main.py

kalDima1218/schet-drevnih-shizov

8656d55044201900106379d9897df8fbca160156

[ "Unlicense" ]

null

main.py

kalDima1218/schet-drevnih-shizov

8656d55044201900106379d9897df8fbca160156

[ "Unlicense" ]

null

chislo = input() chislo_na_schote_drevnih_shizov = "" cifri_scheta_drevnih_shizov = "ноль, целковый, чекушка, порнушка, пердушка, засирушка, жучок, мудачок, хуй на воротничок, дурачок, ВСЕ".split(", ") for i in chislo: chislo_na_schote_drevnih_shizov+=cifri_scheta_drevnih_shizov[int(i)] print(chislo_na_schote_drevnih_shizov)

54.5

147

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46

327

5.369565

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0.17004

0.255061

0.522267

0.412955

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327

5

148

65.4

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0.2

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false

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null

1

0

1

0

1

0

null

0

3

42f1424c56aba2d5f33c118be4a2c8865d3e722a

1,044

py

Python

external/glbinding-1.1.0/codegeneration/scripts/binding.py

matparsa/Fahim

baccbd9c68fed6a315bf77e7141e4f7af8ea92d5

[ "MIT" ]

2

2021-10-09T03:47:42.000Z

2022-02-06T06:34:31.000Z

Examples/Effect/GLator/glbinding/codegeneration/scripts/binding.py

richardlalancette/AfterEffectsExperimentations

5eae44e81c867ee44d00f88aaefaef578f7c3de7

[ "MIT" ]

null

Examples/Effect/GLator/glbinding/codegeneration/scripts/binding.py

richardlalancette/AfterEffectsExperimentations

5eae44e81c867ee44d00f88aaefaef578f7c3de7

[ "MIT" ]

null

import os, sys templatedir = "templates/" tab = " " tab2 = tab + tab execdir = os.path.dirname(os.path.abspath(sys.argv[0])) + "/" def versionBID(feature, core = False, ext = False): if feature is None: return "" version = str(feature.major) + str(feature.minor) if core: return version + "core" elif ext: return version + "ext" return version def template(outputfile): with open (execdir + templatedir + outputfile + ".in", "r") as file: return file.read() class Status: targetdir = "" def status(file): print("generating " + file.replace(Status.targetdir, "")) # enum_binding_name_exceptions = [ "DOMAIN", "MAX_VERTEX_TEXTURE_IMAGE_UNITS_ARB", "FALSE", "TRUE", "NO_ERROR", "WAIT_FAILED" ] def enumBID(enum): return enum.name # extension_binding_name_exceptions = [ ] # ToDo: discuss - just use name for glbinding? def extensionBID(extension): return extension.name def functionBID(function): return function.name

18

127

0.638889

123

1,044

5.317073

0.569106

0.079511

0.04893

0

0.002509

0.23659

1,044

57

128

18.315789

0.818068

0.201149

0

0.044632

0

0.017544

0

1

0.222222

false

0

0.037037

0.111111

0.62963

0.037037

0

null

0

null

0

1

0

1

0

1

0

3

6e22a0a89dda2bc2488bfe28f191e1e1be113b7b

694

py

Python

board/field.py

dwaffe/connect4deepLearning

167c26a3f4f7040ca714c4bdb1c14bfb51c64d9e

[ "MIT" ]

null

board/field.py

dwaffe/connect4deepLearning

167c26a3f4f7040ca714c4bdb1c14bfb51c64d9e

[ "MIT" ]

null

board/field.py

dwaffe/connect4deepLearning

167c26a3f4f7040ca714c4bdb1c14bfb51c64d9e

[ "MIT" ]

null

from .piece import Piece from typing import Optional from colorama import init from termcolor import colored init() class Field: def __init__(self, piece: Optional[Piece] = None) -> None: self._piece = piece def get_piece(self) -> Optional[Piece]: return self._piece def put_piece(self, piece: Piece): self._piece = piece def __str__(self) -> str: if self._piece is not None: return colored(self._piece.get_sign(), self._piece.get_color()) else: return ' ' def is_sign(self, sign: str): if self._piece is None: return False return self._piece.get_sign() == sign

23.133333

75

0.610951

89

694

4.516854

0.280899

0.223881

0.104478

0.084577

0.079602

0

0.295389

694

30

76

23.133333

0.822086

0

0.095238

0

0.001439

0

1

0.238095

false

0

0.190476

0.047619

0.714286

0

null

1

0

null

0

1

0

1

0

3

6e51e1a1628148b4ac7ab7831f710895fda4ab90

265

py

Python

URI/1-Beginner/1012.py

vicenteneto/online-judge-solutions

4176e2387658f083b980d7b49bc98300a4c28411

[ "MIT" ]

null

URI/1-Beginner/1012.py

vicenteneto/online-judge-solutions

4176e2387658f083b980d7b49bc98300a4c28411

[ "MIT" ]

null

URI/1-Beginner/1012.py

vicenteneto/online-judge-solutions

4176e2387658f083b980d7b49bc98300a4c28411

[ "MIT" ]

null

# -*- coding: utf-8 -*- a, b, c = [float(x) for x in raw_input().split()] print 'TRIANGULO: %.3f' % (a * c / 2) print 'CIRCULO: %.3f' % (3.14159 * c * c) print 'TRAPEZIO: %.3f' % ((a + b) * c / 2) print 'QUADRADO: %.3f' % (b * b) print 'RETANGULO: %.3f' % (a * b)

29.444444

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0.50566

44

265

3.022727

0.522727

0.045113

0

0.067633

0.218868

265

8

50

33.125

0.574879

0.079245

0

0.293388

0

null

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0.833333

0

null

0

1

0

null

0

1

0

1

0

3

2858e465ed1704ea997daa3d55bf628a15205556

2,643

py

Python

ScriptGeneratorPython/generateScript.py

JakeChapeskie/MyoScripts

ff2efaaaf8d771b255c865845dd930ba2ef3e839

[ "MIT" ]

4

2015-01-27T00:37:26.000Z

2016-05-11T13:31:16.000Z

ScriptGeneratorPython/generateScript.py

JakeChapeskie/MyoScripts

ff2efaaaf8d771b255c865845dd930ba2ef3e839

[ "MIT" ]

null

ScriptGeneratorPython/generateScript.py

JakeChapeskie/MyoScripts

ff2efaaaf8d771b255c865845dd930ba2ef3e839

[ "MIT" ]

5

2015-03-17T20:26:50.000Z

2020-02-12T11:25:09.000Z

#Generates Scripts for Myo #Jake Chapeskie #2014 import argparse DEBUG_MODE=False #Set to true for extra print outputs def debugPrint(s): if DEBUG_MODE==True: print(s) return def keyTwoMyo(key): #TODO: Add special character parsing str='myo.keyboard("'+key+'","press")' return str # parse Command Line inputs parser = argparse.ArgumentParser(description='Program to generate lua scripts for Myo') parser.add_argument('-i','--inFile', help='Specifies Template File to use', required=False) parser.add_argument('-o','--outFile', help='Specifies the filename of the generated script', required=True) parser.add_argument('-title','--appTitle', help='Specifies the Window name to activate the script on', required=True) parser.add_argument('-waveIn','--waveIn', help='Command to map to waveIn', required=False) parser.add_argument('-waveOut','--waveOut', help='Command to map to waveOut', required=False) parser.add_argument('-fingersSpread','--fingersSpread', help='Command to map to fingersSpread', required=False) parser.add_argument('-fist','--fist', help='Command to map to fist', required=False) args = vars(parser.parse_args()) debugPrint(args) #set file names if args['inFile'] == None: #use default Template print 'Using Default Template' inputFileName='luaTemplateSimple.lua' else: inputFileName=args['inFile'] print 'Using Template from '+inputFileName debugPrint('IN:'+inputFileName) #redundant since required, might add check for .lua extension if args['outFile'] == None: outFileName='luaTemplateSimple.lua' else: outFileName=args['outFile'] print 'Outputing Script to '+outFileName #open template file= open(inputFileName, 'r') templateData= file.read() tmp=templateData file.close() #add mappings if args['waveIn'] != None: tmp=tmp.replace("--PLACEHOLDER:WAVEIN", keyTwoMyo(args['waveIn'])); if args['waveOut'] != None: tmp=tmp.replace("--PLACEHOLDER:WAVEOUT", keyTwoMyo(args['waveOut'])); if args['fingersSpread'] != None: tmp=tmp.replace("--PLACEHOLDER:FINGERSSPREAD", keyTwoMyo(args['fingersSpread'])); if args['fist'] != None: tmp=tmp.replace("--PLACEHOLDER:FIST", keyTwoMyo(args['fist'])); if args['appTitle'] != None: tmp=tmp.replace("PLACEHOLDER:TITLE", args['appTitle']); #Clean up some script stuff #change ScriptId ScriptId=args['appTitle'] debugPrint(ScriptId) tmp=tmp.replace("'com.thalmic.generated'", "'com.thalmic."+ScriptId+"'"); tmp=tmp.replace("--TEMPLATE FOR SCRIPT GENERATION, DO NOT MODIFY","") #Any Changes to the file contents after the file write won't be applied #write out to file outfile=open(outFileName,'w') outfile.write(tmp) outfile.close() print 'Complete'

34.776316

117

0.740068

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2,643

5.54416

0.344729

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0.061151

0.043679

0.200411

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0.10367

2,643

75

118

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0.037736

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0.013333

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0

0.018868

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0.09434

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null

0

1

0

null

0

1

0

1

0

3

288e50b8e67aa3e78a182d58f80bf9d7589ab275

346

py

Python

exercises/005_Tuplas/tuple_002.py

Kike-Ramirez/intro-py-td

c117ef7b645add0987593f2ff3eb5bb97724e8d9

[ "MIT" ]

null

exercises/005_Tuplas/tuple_002.py

Kike-Ramirez/intro-py-td

c117ef7b645add0987593f2ff3eb5bb97724e8d9

[ "MIT" ]

null

exercises/005_Tuplas/tuple_002.py

Kike-Ramirez/intro-py-td

c117ef7b645add0987593f2ff3eb5bb97724e8d9

[ "MIT" ]

null

# Python INTRO for TD Users # Kike Ramírez # May, 2018 # Understanding Tuples # Tuples comparison #case 1 a=(5,6) b=(1,4) if (a>b):print("a is bigger") else: print("b is bigger") #case 2 a=(5,6) b=(5,4) if (a>b):print("a is bigger") else: print ("b is bigger") #case 3 a=(5,6) b=(6,4) if (a>b):print("a is bigger") else: print("b is bigger")

13.84

29

0.621387

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346

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0.055814

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346

25

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1

0

1

0

null

0

1

0

3

953c6d676b05361706ad480aebd1e13ad0db53c9

1,586

py

Python

aiotdlib/api/types/mask_position.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

37

2021-05-04T10:41:41.000Z

2022-03-30T13:48:05.000Z

aiotdlib/api/types/mask_position.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

13

2021-07-17T19:54:51.000Z

2022-02-26T06:50:00.000Z

aiotdlib/api/types/mask_position.py

jraylan/aiotdlib

4528fcfca7c5c69b54a878ce6ce60e934a2dcc73

[ "MIT" ]

7

2021-09-22T21:27:11.000Z

2022-02-20T02:33:19.000Z

# =============================================================================== # # # # This file has been generated automatically!! Do not change this manually! # # # # =============================================================================== # from __future__ import annotations from pydantic import Field from .mask_point import MaskPoint from ..base_object import BaseObject class MaskPosition(BaseObject): """ Position on a photo where a mask is placed :param point: Part of the face, relative to which the mask is placed :type point: :class:`MaskPoint` :param x_shift: Shift by X-axis measured in widths of the mask scaled to the face size, from left to right. (For example, -1.0 will place the mask just to the left of the default mask position) :type x_shift: :class:`float` :param y_shift: Shift by Y-axis measured in heights of the mask scaled to the face size, from top to bottom. (For example, 1.0 will place the mask just below the default mask position) :type y_shift: :class:`float` :param scale: Mask scaling coefficient. (For example, 2.0 means a doubled size) :type scale: :class:`float` """ ID: str = Field("maskPosition", alias="@type") point: MaskPoint x_shift: float y_shift: float scale: float @staticmethod def read(q: dict) -> MaskPosition: return MaskPosition.construct(**q)

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9545069fad3e7afab3f20d2b033815095133fb0b

279

py

Python

proj/ud120-projects/choose_your_own/test.py

askldjd/udacity-machine-learning

0defdfc09fb21ad5de31df4caf3fe1e6e1f9fa1b

[ "MIT" ]

2

2017-09-22T21:13:07.000Z

2020-07-06T11:30:19.000Z

proj/ud120-projects/choose_your_own/test.py

askldjd/udacity-machine-learning

0defdfc09fb21ad5de31df4caf3fe1e6e1f9fa1b

[ "MIT" ]

null

proj/ud120-projects/choose_your_own/test.py

askldjd/udacity-machine-learning

0defdfc09fb21ad5de31df4caf3fe1e6e1f9fa1b

[ "MIT" ]

13

2017-02-07T06:46:52.000Z

2021-11-04T20:29:41.000Z

from sklearn.cross_validation import cross_val_score from sklearn.datasets import load_iris from sklearn.ensemble import AdaBoostClassifier iris = load_iris() clf = AdaBoostClassifier(n_estimators=100) scores = cross_val_score(clf, iris.data, iris.target) print scores.mean()

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3

954fa77199df153eea3b9c972b0a7bdc533cbedd

1,583

py

Python

warmup_1/parrot_trouble.py

nhutnamhcmus/coding-bat-solutions

5f780a4027a6c3523a72961db1bad547c997fdc6

[ "MIT" ]

1

2020-09-19T18:02:13.000Z

warmup_1/parrot_trouble.py

nhutnamhcmus/coding-bat-solutions

5f780a4027a6c3523a72961db1bad547c997fdc6

[ "MIT" ]

null

warmup_1/parrot_trouble.py

nhutnamhcmus/coding-bat-solutions

5f780a4027a6c3523a72961db1bad547c997fdc6

[ "MIT" ]

null

# ======================================================================================================================================= # VNU-HCM, University of Science # Department Computer Science, Faculty of Information Technology # Authors: Nhut-Nam Le (Tich Phan Suy Rong) # © 2020 """ We have a loud talking parrot. The "hour" parameter is the current hour time in the range 0..23. We are in trouble if the parrot is talking and the hour is before 7 or after 20. Return True if we are in trouble. parrot_trouble(True, 6) → True parrot_trouble(True, 7) → False parrot_trouble(False, 6) → False """ import unittest def parrot_trouble(talking, hour): return (False, (hour < 7 or hour > 20))[talking] class MyTest(unittest.TestCase): def test_case_00(self): self.assertEqual(parrot_trouble(True, 6), True) def test_case_01(self): self.assertEqual(parrot_trouble(True, 7), False) def test_case_03(self): self.assertEqual(parrot_trouble(False, 6), False) def test_case_04(self): self.assertEqual(parrot_trouble(False, 21), False) def test_case_05(self): self.assertEqual(parrot_trouble(False, 20), False) def test_case_06(self): self.assertEqual(parrot_trouble(True, 23), True) def test_case_07(self): self.assertEqual(parrot_trouble(False, 23), False) def test_case_08(self): self.assertEqual(parrot_trouble(True, 20), False) def test_case_09(self): self.assertEqual(parrot_trouble(False, 12), False) if __name__ == "__main__": unittest.main()

28.267857

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4.509259

0.337963

0.173511

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0.231006

0.374743

0.337782

0

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0

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false

0

0.041667

0.541667

0

null

0

1

0

null

0

1

0

1

0

3

958636b454316d848d5150db80beae3090a99bd1

566

py

Python

gloop/clients/match.py

pitzer42/nano_tcg

c984b253b8a53a707460aac21c10f140d16d902e

[ "MIT" ]

1

2020-09-30T21:03:37.000Z

gloop/clients/match.py

pitzer42/nano_tcg

c984b253b8a53a707460aac21c10f140d16d902e

[ "MIT" ]

null

gloop/clients/match.py

pitzer42/nano_tcg

c984b253b8a53a707460aac21c10f140d16d902e

[ "MIT" ]

null

from abc import ABC from gloop.entities.match import Match from gloop.entities.player import Player class MatchClient(ABC): async def wait_notification(self): raise NotImplementedError() async def notify_new_player_join(self, player: Player): raise NotImplementedError() async def notify_match_start(self, match: Match): raise NotImplementedError() async def notify_play(self, player: Player): raise NotImplementedError() async def notify_game_over(self, match: Match): raise NotImplementedError()

24.608696

59

0.726148

66

566

6.090909

0.348485

0.099502

0.288557

0.318408

0.587065

0.268657

0

0.20318

566

22

60

25.727273

0.891353

0

0.357143

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true

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0.214286

0

0.285714

0

null

0

1

0

null

0

1

0

3

95a59a1231001450442e7f01d79b3fc7c03a0fd0

93

py

Python

telegram_bot_sdk/exceptions/message_exception.py

myOmikron/TelegramBotSDK

526d1e276e5b37955b32772554f3682767ceeff2

[ "MIT" ]

null

telegram_bot_sdk/exceptions/message_exception.py

myOmikron/TelegramBotSDK

526d1e276e5b37955b32772554f3682767ceeff2

[ "MIT" ]

null

telegram_bot_sdk/exceptions/message_exception.py

myOmikron/TelegramBotSDK

526d1e276e5b37955b32772554f3682767ceeff2

[ "MIT" ]

null

class MessageError: def __init__(self): print("Message Result \"ok\" was False")

23.25

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11

93

5.090909

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0.225806

93

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49

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0

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0

1

0.333333

false

0

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

3

95c9c1e342ed126da8d18ace24907dfd8e20d15f

1,657

py

Python

server/controllers/score_controller.py

KohlbacherLab/deregnet-rest

d512e04b66556fbb52a49e9da465af01ebfdd78a

[ "BSD-3-Clause" ]

null

server/controllers/score_controller.py

KohlbacherLab/deregnet-rest

d512e04b66556fbb52a49e9da465af01ebfdd78a

[ "BSD-3-Clause" ]

null

server/controllers/score_controller.py

KohlbacherLab/deregnet-rest

d512e04b66556fbb52a49e9da465af01ebfdd78a

[ "BSD-3-Clause" ]

1

2018-01-30T18:38:56.000Z

import connexion import six from deregnet_rest.models.score import Score # noqa: E501 from deregnet_rest.models.score_info import ScoreInfo # noqa: E501 from deregnet_rest import util from deregnet_rest.controllers_impl.scores import ScoreController def delete_score(score_id): # noqa: E501 """Delete a previously uploaded node score Delete a previously uploaded node score # noqa: E501 :param score_id: ID of the node score to be deleted :type score_id: str :rtype: None """ return ScoreController.delete_score(score_id) def get_score(score_id): # noqa: E501 """Retrieve information on a previously uploaded score # noqa: E501 :param score_id: ID of node score to return :type score_id: str :rtype: ScoreInfo """ return ScoreController.get_score(score_id) def get_scores(skip=0, limit=1000): # noqa: E501 """List available previously uploaded node scores Returns a list with all available node scores # noqa: E501 :param skip: number of records to skip for pagination :type skip: int :param limit: maximum number of records to return :type limit: int :rtype: List[ScoreInfo] """ return ScoreController.get_scores(skip, limit) def post_score(body): # noqa: E501 """Upload a node score for use with DeRegNet algorithms # noqa: E501 :param body: Node scores to be uploaded for later use with a DeRegNet algorithm :type body: dict | bytes :rtype: ScoreInfo """ if connexion.request.is_json: body = Score.from_dict(connexion.request.get_json()) # noqa: E501 return ScoreController.post_score(body)

25.492308

83

0.709716

231

1,657

4.982684

0.290043

0.076455

0.055604

0.038228

0.278888

0.105126

0.050391

0

0.029276

0.216657

1,657

64

84

25.890625

0.857473

0.526252

0

1

0.25

false

0

0.375

0

0.875

0

null

0

null

0

1

0

1

0

1

0

3

95d2319e790eb4abde92afa3b9493c26265afe89

8,733

py

Python

r-net.py

gypleon/SQuAD

792301271e533b02b0d9282ba3a9eaef8fff3c57

[ "MIT" ]

null

r-net.py

gypleon/SQuAD

792301271e533b02b0d9282ba3a9eaef8fff3c57

[ "MIT" ]

null

r-net.py

gypleon/SQuAD

792301271e533b02b0d9282ba3a9eaef8fff3c57

[ "MIT" ]

null

import tensorflow as tf import numpy as np from word_embedding import WORD_EMBEDDING as WE class R_NET(object): ''' refer to R-NET: Machine Reading Comprehension with Self-matching Networks Natural Language Computing Group, Microsoft Research Asia https://www.microsoft.com/en-us/research/publication/mrc/ ''' def __init__(self, path_dataset, path_vocab, batch_size = 1, train = True, dimension_word_embeddings = 300, length_gru_state = 75, length_attention_state = 75, learning_rate = 1, dropout_keep_prob = 0.8, rho = .95, epsilon = 1e-6): self.path_ds = path_dataset self.vocab = WE(path_vocab, dimension_word_embeddings) self.batch_size = batch_size self.len_gs = length_gru_state self.len_as = length_attention_state self.lr = learning_rate self.keep_prob = dropout_keep_prob self.rho = rho self.eps = epsilon self.graph = self.build() @property def answers(self): return self.answers def build(self, scope = 'rnet'): ''' build model graph input: questions: a batch of questions, [] passages: a batch of corresponding passage ids, recover passages from ids in order to reduce duplicated passage copies in memory answers: a batch of corresponding answers output: self.answers: predicted answers, [start_pointer, end_pointer] self.losses: losses between predicted and target answers ''' with tf.variable_scope(scope): # placeholders questions = tf.placeholder(tf.int32, shape=[self.batch_size, self.sequence_length, ]) passages = tf.placeholder() # question and passage encoder u_Q = self.encode(questions) u_P = self.encode(passages) # gated attention-based rnn gated_u_P = self.gated_attn(u_Q, u_P) # self-matching attention h_P = self.self_matching_attn(gated_u_P) # output layer - pointer networks self.answers = output_layer(h_P, u_Q) self.losses = tf.losses.softmax_cross_entropy(answers, self.answers) return def inference(self): ''' inference input: inputs: tuples of passage, question and answer: (passage, question, truth) output: losses: ''' passages = tf.slice(inputs, [], []) questions = tf.slice(inputs, [], []) truths = tf.slice(inputs, [], []) return self.answers, self.losses def train(self): optimizer = tf.train.AdadeltaOptimizer(learning_rate = self.lr, beta1 = self.rho, epsilon = self.eps) optimizer.minimize(self.losses) def encode(self, words): ''' encode token sequence as a list of new token representations input: words: list of tokens output: representations: list of final representations ''' # TODO: new biRNN for each word? how to batch words for embedding? # build graph for the longest word, traverse corpus in advance? sequence = [self.embedding(word) for word in words] outputs = self.bidirectionalGRU(sequence, 3) representations = tf.squeeze(outputs) return representations def gated_attn(self, seq_1, seq_2, num_units = self.len_gs, scope = 'GatedAttn'): ''' gated attention for seq_2 w.r.t seq_1 input: seq_1: query sequence in attention mechanism seq_2: encoder sequence in attention mechanism output: outputs: v_P: context: ''' u_Q = seq_1 u_P = seq_2 cell = self.GRUCellGPU(num_units) with tf.variable_scope(scope): attn_v = tf.get_variable('attn_v', [num_units]) w_u_Q = tf.get_variable('weight_ques') w_u_P = tf.get_variable('weight_pass_orig') w_v_P = tf.get_variable('weight_pass_ques') v_P = tf.get_variable('embedding_pass_ques') score = tf.reduce_sum(attn_v * tf.tanh(w_u_Q * u_Q + w_u_P * u_P + w_v_P * v_P), [2]) # scores of all tokens alignments = tf.softmax(score) alignments = tf.expand_dims(alignments, 1) u_Q = tf.expand_dims(u_Q, 1) context = tf.reduce_sum(tf.matmul(alignments, u_Q, transpose_b=True), [2]) # gate inputs = tf.concat([u_Q, context], 1) w_g = tf.get_variable('weight_gate') g = tf.sigmoid(tf.reduce_sum(w_g * inputs)) gated_inputs = g * inputs outputs, v_P = cell(gated_inputs, v_P) return outputs, v_P def self_matching_attn(self, seq, scope = 'SelfMatchAttn'): ''' self-matching attention of seq input: output: ''' v_P = seq with tf.variable_scope(scope): attn_v = tf.get_variable('attn_v') w_v_P = tf.get_variable('weight_passage') w_v_P_w = tf.get_variable('weight_passage_wave') score = tf.reduce_sum(attn_v * tf.tanh(w_v_P * v_P + w_v_P_w * v_P), [2]) # scores for all tokens alignments = tf.softmax(score) alignments = tf.expand_dims(alignments, 1) v_P = tf.expand_dims(u_Q, 1) context = tf.reduce_sum(tf.matmul(alignments, v_P, transpose_b=True), [2]) inputs = tf.concat([seq, context], 1) outputs = self.bidirectionalGRU(inputs, 1) h_P = outputs return h_P def output_layer(self, seq_1, seq_2, scope = 'PointerNetwork'): h_P = seq_1 u_Q = seq_2 cell = self.GRUCellGPU(num_units) with tf.variable_scope(scope): # initialize hidden state of answer attn_v_a = tf.get_varialbe('attn_v') w_u_Q = tf.get_varialbe('weight_passage') w_v_Q = tf.get_varialbe('weight_answer') V_Q = tf.get_varialbe('weight_answer') score_a = tf.reduce_sum(attn_v_a * tf.tanh(w_u_Q * u_Q + w_a * h_a), [2]) # scores for all tokens alignments_a = tf.softmax(score_a) r_Q = tf.reduce_sum(tf.matmul(alignments_a, u_Q, transpose_b=True), [2]) attn_v = tf.get_varialbe('attn_v') w_P = tf.get_varialbe('weight_passage') w_a = tf.get_varialbe('weight_answer') h_a = tf.get_varialbe('embedding_answer') score = tf.reduce_sum(attn_v * tf.tanh(w_P * h_P + w_a * h_a), [2]) # scores for all tokens alignments = tf.softmax(score) alignments = tf.expand_dims(alignments, 1) v_P = tf.expand_dims(u_Q, 1) context = tf.reduce_sum(tf.matmul(alignments, v_P, transpose_b=True), [2]) outputs, h_a = cell(h_a, context) self.answer = outputs return self.answer def GRUCellGPU(self, num_units = self.len_gs, gpu_num = 0, scope = 'GRUCellGPU'): ''' wrapper GRUCell with Dropout & GPU device ''' gru_cell = tf.contrib.rnn.DeviceWrapper( tf.contrib.rnn.DropoutWrapper( tf.nn.rnn_cell.GRUCell(num_units), input_keep_prob = self.keep_prob, output_keep_prob = self.keep_prob, state_keep_prob = self.keep_prob), "/device:GPU:%i" % gpu_num) return gru_cell def bidirectionalGRU(self, sequence, num_layers, num_units = self.len_gs, scope = 'bidirectionalGRU'): ''' bidirectional rnn layer using GRU cells input: sequence: sequencial token/char inputs num_layers: number of bidirectionalGRU layers num_units: number of dimension of GRU's hidden states scope: name of variable scope output: results: results of biRNN layers, (outputs, output_state_fw, output_state_bw) outputs: [batch_size, max_time, layers_output] output_state_fw: final states, one tensor per layer, of the forward rnn. output_state_bw: similiar to fw above. ''' with tf.variable_scope(scope): gru_fw = self.GRUCellGPU(num_units) gru_bw = self.GRUCellGPU(num_units) # shape: [batch_size, max_time_step, ...] # TODO: decide batch_size_word based on the batch with the largest amount of unique words. # char embedding: [batch_size_word, word_length, 300], # sentence: [batch_size, seq_len, 300+75] inputs = np.array([sequence]) # TODO: length of each sequence should be provided outputs, _, _ = tf.contrib.rnn.stack_bidirectional_dynamic_rnn([gru_fw] * num_layers, [gru_bw] * num_layers, inputs) return outputs def embedding(self, word, scope = 'embedding'): ''' input: word: tokenized word output: embed: embedding combining both word-level and character-level ''' word_embed, char_embeds = self.vocab.embedding(word) with tf.variable_scope(scope): # char_embeds: [word_length, vocab_dim] # TODO: dynamic word_length needs padding? # NO need, since dynamic rnn adopted. But length of each word should be provided. # TODO: BUT how to batch words? # MAX_TIME should be provided, traverse words of a batch to get the largest word length char_embed = self.bidirectionalGRU(char_embeds, 2) embed = tf.concat([word_embed, char_embed], axis = 0) return embed if __name__ == '__main__':

38.641593

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8,733

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0.147815

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null

0.079365

0.02381

null

0

null

0

null

0

1

0

1

0

1

0

3

95e00a7ec2479d14b38648404f902195127f2c8e

142

py

Python

gym_multipendulum/__init__.py

GitYiheng/gym-multipendulum

58e09a3f505a2ca389fee30f6eb9508cdd041176

[ "MIT" ]

null

gym_multipendulum/__init__.py

GitYiheng/gym-multipendulum

58e09a3f505a2ca389fee30f6eb9508cdd041176

[ "MIT" ]

null

gym_multipendulum/__init__.py

GitYiheng/gym-multipendulum

58e09a3f505a2ca389fee30f6eb9508cdd041176

[ "MIT" ]

null

from gym.envs.registration import register register( id='multipendulum-v0', entry_point='gym_multipendulum.envs:MultipendulumEnv', )

20.285714

58

0.774648

16

142

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0.75

0

0.008

0.119718

142

6

59

23.666667

0.856

0

0.387324

0.274648

0

1

0

true

0

0.2

0

0.2

0

1

0

null

0

1

0

null

0

1

0

3

95e85e9c5dcb45735d3a20249307135c06ee3254

121

py

Python

stats.py

firebird631/siis

8d64e8fb67619aaa5c0a62fda9de51dedcd47796

[ "PostgreSQL" ]

null

stats.py

firebird631/siis

8d64e8fb67619aaa5c0a62fda9de51dedcd47796

[ "PostgreSQL" ]

null

stats.py

firebird631/siis

8d64e8fb67619aaa5c0a62fda9de51dedcd47796

[ "PostgreSQL" ]

null

import pstats from pstats import SortKey p = pstats.Stats('profiling.txt') p.strip_dirs().sort_stats(-1).print_stats()

17.285714

43

0.760331

19

121

4.684211

0.684211

0

0.009174

0.099174

121

6

44

20.166667

0.807339

0

0.108333

0

1

0

false

0

0.5

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

3

95e972d0f30a0a606a71ffa5373d4a5245107754

91

py

Python

rest_registration/__init__.py

Neraste/django-rest-registration

a60026e653c7b2c63b9f487031b9cb187453a92f

[ "MIT" ]

null

rest_registration/__init__.py

Neraste/django-rest-registration

a60026e653c7b2c63b9f487031b9cb187453a92f

[ "MIT" ]

null

rest_registration/__init__.py

Neraste/django-rest-registration

a60026e653c7b2c63b9f487031b9cb187453a92f

[ "MIT" ]

null

__version__ = "0.6.2" default_app_config = 'rest_registration.apps.RestRegistrationConfig'

30.333333

68

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6.181818

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0.065934

91

2

69

45.5

0.764706

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0.494505

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1

0

null

0

1

0

1

null

0

3

95eb33819e293041c6f181399271e7fcd4dcc29f

1,174

py

Python

tests/test_pkg_metadata.py

Algorithmism/quantopian-tools

a57afa7d16286f502e236e32525fbde552028627

[ "BSD-3-Clause" ]

1

2022-01-31T10:53:53.000Z

tests/test_pkg_metadata.py

Algorithmism/quantopian-tools

a57afa7d16286f502e236e32525fbde552028627

[ "BSD-3-Clause" ]

null

tests/test_pkg_metadata.py

Algorithmism/quantopian-tools

a57afa7d16286f502e236e32525fbde552028627

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import re import semantic_version import pytest import validators from datetime import datetime import quantopian_tools def test_valid_pkg_name(): assert quantopian_tools assert re.match(r'[a-z][a-z_.]+', quantopian_tools.__pkg_name__) def test_valid_version(): assert semantic_version.validate(str(semantic_version.Version.coerce(quantopian_tools.__version__))) def test_valid_release_date(): try: datetime.strptime(quantopian_tools.__release_date__, '%m/%d/%Y') except ValueError: pytest.fail() def test_valid_project_name(): assert quantopian_tools.__project_name__ def test_valid_project_description(): assert quantopian_tools.__project_description__ def test_valid_project_url(): assert validators.url(quantopian_tools.__project_url__) def test_valid_license(): assert quantopian_tools.__license__ == 'BSD' def test_valid_author(): assert quantopian_tools.__author__ assert validators.email(quantopian_tools.__author_email__) def test_valid_maintainer(): assert quantopian_tools.__maintainer__ assert validators.email(quantopian_tools.__maintainer_email__)

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0.132879

1,174

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105

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null

1

0

null

0

1

0

3

95f23a28e684bd87ef5ce24b521720656b429427

891

py

Python

agent/sn_agent/agent/test.py

akolonin/singnet

3be30d40a2394325dc14bb55ea2871fe463b9405

[ "MIT" ]

null

agent/sn_agent/agent/test.py

akolonin/singnet

3be30d40a2394325dc14bb55ea2871fe463b9405

[ "MIT" ]

null

agent/sn_agent/agent/test.py

akolonin/singnet

3be30d40a2394325dc14bb55ea2871fe463b9405

[ "MIT" ]

1

2020-10-27T01:32:15.000Z

# # sn_agent/base.py - implementation of abstract class defining API for Network # communication with block-chain implementations through connections with # smart contracts and block-chain messaging systems. # # Copyright (c) 2017 SingularityNET # # Distributed under the MIT software license, see LICENSE file. # from sn_agent.agent.base import AgentABC from sn_agent.network.enum import NetworkStatus from sn_agent.ontology.service_descriptor import ServiceDescriptor from enum import Enum import logging from sn_agent.agent.base import AgentABC logger = logging.getLogger(__name__) class TestAgent(AgentABC): def __init__(self, app, agent_id): super().__init__(app, agent_id) logger.debug('Test Agent Started') def can_perform(self, service: ServiceDescriptor) -> bool: pass def perform(self, service: ServiceDescriptor) -> bool: pass

26.205882

78

0.762065

113

891

5.823009

0.557522

0.053191

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0.048632

0.234043

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0.005384

0.166106

891

33

79

27

0.880215

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0

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null

0

null

0

1

0

1

0

3

25003dfea7e7cf54e69c1816a20e6f722c4b8843

187

py

Python

Python-Task6/NumberCount.py

gaushikmr/codewayy-python

1e0f1b4d97cf2232daca1145d43290457a3b6c02

[ "CNRI-Python" ]

null

Python-Task6/NumberCount.py

gaushikmr/codewayy-python

1e0f1b4d97cf2232daca1145d43290457a3b6c02

[ "CNRI-Python" ]

null

Python-Task6/NumberCount.py

gaushikmr/codewayy-python

1e0f1b4d97cf2232daca1145d43290457a3b6c02

[ "CNRI-Python" ]

null

# Question:5 countNumber = input("Enter the string ") print ("Original string is : " + countNumber) res = len(countNumber.split()) print ("Number of words in string is : " + str(res))

20.777778

52

0.679144

25

187

5.08

0.72

0.125984

0

0.006494

0.176471

187

8

53

23.375

0.818182

0.053476

0

0.394286

0

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false

0

0.5

1

0

null

0

1

0

null

0

1

0

3

25079c7610f4609e6a2c70703d824f4c6ed6832d

666

py

Python

molly/apps/places/providers/__init__.py

mollyproject/mollyproject

3247c6bac3f39ce8d275d19aa410b30c6284b8a7

[ "Apache-2.0" ]

7

2015-05-16T13:27:21.000Z

2019-08-06T11:09:24.000Z

molly/apps/places/providers/__init__.py

mollyproject/mollyproject

3247c6bac3f39ce8d275d19aa410b30c6284b8a7

[ "Apache-2.0" ]

null

molly/apps/places/providers/__init__.py

mollyproject/mollyproject

3247c6bac3f39ce8d275d19aa410b30c6284b8a7

[ "Apache-2.0" ]

4

2015-11-27T13:36:36.000Z

2021-03-09T17:55:53.000Z

from molly.conf.provider import Provider class BaseMapsProvider(Provider): def import_data(self): pass def real_time_information(self, entity): return None def augment_metadata(self, entities, **kwargs): pass from naptan import NaptanMapsProvider from acislive import ACISLiveMapsProvider, ACISLiveRouteProvider from osm import OSMMapsProvider from postcodes import PostcodesMapsProvider from ldb import LiveDepartureBoardPlacesProvider from bbc_tpeg import BBCTPEGPlacesProvider from tfl import TubeRealtimeProvider from atcocif import AtcoCifTimetableProvider from timetables import TimetableAnnotationProvider

28.956522

64

0.806306

67

666

7.940299

0.61194

0

0.163664

666

22

65

30.272727

0.955117

0

0.117647

0

1

0.176471

false

0.117647

0.647059

0.058824

0.941176

0

null

0

null

0

1

0

1

0

3

250c468d9e411792abdc6a1cfd948a7141029d58

1,424

py

Python

setup.py

aayla-secura/simple_CORS_https_server

e32e1c0ce44f3b5a5e5dc830364eddb0b7127040

[ "MIT" ]

3

2019-03-28T04:17:17.000Z

2021-08-02T20:15:17.000Z

setup.py

aayla-secura/simple_CORS_https_server

e32e1c0ce44f3b5a5e5dc830364eddb0b7127040

[ "MIT" ]

1

2020-07-02T20:48:18.000Z

2020-07-07T19:09:24.000Z

setup.py

aayla-secura/simple_CORS_https_server

e32e1c0ce44f3b5a5e5dc830364eddb0b7127040

[ "MIT" ]

2

2020-05-31T11:24:10.000Z

2021-08-02T20:20:32.000Z

from setuptools import setup, find_packages with open('README.md', 'r') as fh: long_description = fh.read() setup( name='mixnmatchttp', version='1.0.dev32', url='https://github.com/aayla-secura/mixnmatchttp', author='AaylaSecura1138', author_email='aayla.secura.1138@gmail.com', description='Modular HTTP server: Auth, Caching, Proxy, and more', long_description=long_description, long_description_content_type='text/markdown', classifiers=[ 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', ], packages=find_packages(), install_requires=[ 'future>=0.12', 'wrapt>=1', 'awesomedict', ], extras_require={ 'unix_pwd': ['passlib>=1.7.2'], 'scrypt': ['passlib>=1.7.2', 'scrypt>=0.8.3'], 'bcrypt': ['passlib>=1.7.2', 'bcrypt>=3.1.4'], 'jwt': ['PyJWT[crypto]>=1.7.1'], 'daemon': ['python-daemon>=2.2.4'], 'sql': ['SQLAlchemy>=1.3.16'], }, zip_safe=False)

33.904762

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164

1,424

4.981707

0.530488

0.186047

0.244798

0.190942

0.105263

0

0.050551

0.235955

1,424

41

71

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0.700368

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0

1

0

false

0.076923

0.025641

0

0.025641

0

null

0

1

0

null

0

1

0

3

251ad593ec553fb6924431331f4965f5608128f0

2,540

py

Python

info/__init__.py

Crystalordiamond/GitHub_Information

189a954895c653f69ef3cca6d381b3a40b3c4f16

[ "MIT" ]

1

2018-11-22T08:40:26.000Z

info/__init__.py

Crystalordiamond/GitHub_Information

189a954895c653f69ef3cca6d381b3a40b3c4f16

[ "MIT" ]

null

info/__init__.py

Crystalordiamond/GitHub_Information

189a954895c653f69ef3cca6d381b3a40b3c4f16

[ "MIT" ]

null

import logging from logging.handlers import RotatingFileHandler from flask import Flask from flask_sqlalchemy import SQLAlchemy from redis import StrictRedis from flask_wtf.csrf import CSRFProtect, generate_csrf from flask_session import Session from config import config_dict # 暂时没有app对象，就不会去初始化，只是声明一下.为什么能这样做:点进去源码 # 没有就申明一下有就进入判断去执行（懒加载思想） db = SQLAlchemy() # redis_store没有像SQLAlchemy封装一个这样到方法就直接设置为全局变量 redis_store = None # type: StrictRedis """记录日志的配置""" def setup_log(config_name): # 下面到函数调用后根据传入的参数找不到不同的项目配置类 # 将configClass传入到logging.basicConfig(level=configClass)，但是需要不同环境中设置好日志级别，来调用。 configClass = config_dict[config_name] # 设置日志的记录等级 logging.basicConfig(level=configClass.LOG_LEVEL) # 调试debug级调用不同环境中到日志等级 # 创建日志记录器，指明日志保存的路径、每个日志文件100兆、保存的日志文件个数上限10个 file_log_handler = RotatingFileHandler("logs/log", maxBytes=1024 * 1024 * 100, backupCount=10) # 创建日志记录的格式日志等级输入日志信息的文件名行数日志信息 formatter = logging.Formatter('%(levelname)s %(filename)s:%(lineno)d %(message)s') # 为刚创建的日志记录器设置日志记录格式 file_log_handler.setFormatter(formatter) # 为全局的日志工具对象（flask app使用的）添加日志记录器 logging.getLogger().addHandler(file_log_handler) """ # ofo生产单车：原材料--->车间--->小黄 # 工厂方法：传入配置名称--->返回对应配置的app对象 # development: --> app开发模式的app对象 # production: --> app线上模式的app对象 """ # todo 谁传给你参数 """创建app create_app方法：工厂方法""" def craete_app(config_name): # 之所以在这里调用日志函数是因为日志和运行环境有关系，要是运行环境日志就不用经常显示错误增加服务器压力。开发环境就不一样 setup_log(config_name) app = Flask(__name__) configClass = config_dict[config_name] app.config.from_object(configClass) # 添加配置类到app """ SQLALchemy 实际上是对数据库的抽象，让开发者不用直接和 SQL 语句打交道，而是通过 Python 对象来操作数据库，在舍弃一些性能开销的同时，换来的是开发效率的较大提升 SQLAlchemy是一个关系型数据库框架，它提供了高层的 ORM 和底层的原生数据库的操作。flask-sqlalchemy 是一个简化了 SQLAlchemy 操作的flask扩展。文档地址：http://docs.jinkan.org/docs/flask-sqlalchemy """ # 创建数据库对象 db = SQLAlchemy(app) # 创建redis数据库对象 global redis_store redis_store = StrictRedis(host=configClass.REDIS_HOST, port=configClass.REDIS_PORT, db=configClass.REDIS_NUM) # 4.开启csrf保护机制 """ 1.自动获取cookie中的csrf_token, 2.自动获取ajax请求头中的csrf_token 3.自己校验这两个值 """ csrf = CSRFProtect(app) # 创建Session对象，将Session的存储方法进行调整（flask后端内存调整到redis服务器） Session(app) # 注册首页蓝图对象 from info.moduls.index import index_bp app.register_blueprint(index_bp) # 注册(注册页面)蓝图对象 from info.moduls.passport import passport_bp app.register_blueprint(passport_bp) # 返回不同模式下的app对象开发模式生产模式 return app

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279

2,540

6.716846

0.55914

0.026681

0.022412

0.01921

0.033084

0

0.010252

0.155118

2,540

81

114

31.358025

0.863001

0.241732

0

0.0625

0

0.041066

0.016571

0

0.012346

0

1

0.0625

false

0.0625

0.3125

0

0.40625

0.0625

0

null

0

null

0

1

0

1

0

3

252f40093ddfad99a3ec2cea18782a3b5a666dd8

414

py

Python

prediction/src/utils/text_preprocessing.py

Tensor-Reloaded/Social-Media-Post-Impact-Prediction

6854af9da861273e413847b762f33c370cc4ab27

[ "MIT" ]

null

prediction/src/utils/text_preprocessing.py

Tensor-Reloaded/Social-Media-Post-Impact-Prediction

6854af9da861273e413847b762f33c370cc4ab27

[ "MIT" ]

13

2021-10-06T19:32:01.000Z

2022-01-21T23:54:52.000Z

prediction/src/utils/text_preprocessing.py

Tensor-Reloaded/Social-Media-Post-Impact-Prediction

6854af9da861273e413847b762f33c370cc4ab27

[ "MIT" ]

1

2021-11-20T19:57:36.000Z

import re url_removal = re.compile(r'https?://\S*') rt_user_removal = re.compile(r'(RT )?(@\S+)?') spaces_removal = re.compile(r'\s+') def sanitize_text(tweet_text): tweet_text = rt_user_removal.sub('', tweet_text) tweet_text = url_removal.sub('', tweet_text) tweet_text = spaces_removal.sub(' ', tweet_text) return tweet_text.strip() def preprocess_text(text): return sanitize_text(text)

24.352941

52

0.698068

62

414

4.354839

0.306452

0.266667

0.192593

0.188889

0.207407

0

0.140097

414

16

53

25.875

0.758427

0

0.070048

0

1

0.181818

false

0

0.090909

0.454545

0

null

1

0

null

0

3

25409a89ea2ed7ee23970fa56851f4f6f69686a6

13,013

py

Python

bLib/util.py

scottwedge/blib

9a035dafad46fb2723562f19b4549a4216c2cf7d

[ "MIT" ]

null

bLib/util.py

scottwedge/blib

9a035dafad46fb2723562f19b4549a4216c2cf7d

[ "MIT" ]

null

bLib/util.py

scottwedge/blib

9a035dafad46fb2723562f19b4549a4216c2cf7d

[ "MIT" ]

null

import os import ctypes import traceback from bLib.helper import * basename = os.path.basename dirname = os.path.dirname abspath = os.path.abspath exists = os.path.exists join = os.path.join isdir = os.path.isdir isfile = os.path.isfile def readfile(path): try: f = open(path, 'rb') except: traceback.print_exc() d = f.read() f.close() return d PACKAGE_DIR = dirname(abspath(__file__)) CLIB32 = join(PACKAGE_DIR, 'clib', 'bin32', 'release') CLIB64 = join(PACKAGE_DIR, 'clib', 'bin64', 'release') FRIDA_SCRIPTDIR = join(PACKAGE_DIR, 'frida_scripts') def addressof(pointer): return ctypes.addressof(pointer.contents) def void_pointer(addr): VOIDP = ctypes.POINTER(ctypes.c_void_p) p = ctypes.cast(addr, VOIDP) return p def u32_pointer(addr): INTP = ctypes.POINTER(ctypes.c_uint) p = ctypes.cast(addr, INTP) return p def u64_pointer(addr): INTP = ctypes.POINTER(ctypes.c_uint64) p = ctypes.cast(addr, INTP) return p def u8_pointer(addr): U8P = ctypes.POINTER(ctypes.c_ubyte) p = ctypes.cast(addr, U8P) return p def malloc(sz): return u8_pointer((ctypes.c_ubyte*sz)()) def str2PCSTR(s): return ctypes.c_char_p(bytes(s, 'ansi')) def next_pow2(n): if n == 0: return 0 out = n - 1 out |= out >> 1 out |= out >> 2 out |= out >> 4 out |= out >> 8 out |= out >> 16 return out + 1 # func state is the position of the bit/byte to flip def bitflip_1bit(data, func_state): # for i in range((len(data)*8)): if not func_state: func_state = 0 if func_state >= len(data) * 8: return data, None # we are done here, lets switch to the next function data[int(func_state / 8)] ^= (0x80 >> (func_state % 8)) func_state += 1 return data, func_state def bitflip_2bits(data, func_state): # for i in range((len(data)*7)): if not func_state: func_state = 0 if func_state >= len(data) * 7: return data, None# we are done here, lets switch to the next function data[int(func_state / 7)] ^= (0xC0 >> (func_state % 7)) func_state += 1 return data, func_state def bitflip_4bits(data, func_state): # for i in range((len(data)*5)): if not func_state: func_state = 0 if func_state >= len(data) * 5: return data, None # we are done here, lets switch to the next function data[int(func_state / 5)] ^= (0xF0 >> (func_state % 5)) func_state += 1 return data, func_state def byteflip_1(data, func_state): # for i in range((len(data))): if not func_state: func_state = 0 if func_state >= len(data): return data, None # we are done here, lets switch to the next function data[func_state] ^= 0xFF func_state += 1 return data, func_state def byteflip_2(data, func_state): # for i in range(1, ((len(data)))): if not func_state: func_state = 0 if func_state + 1 >= len(data): return data, None # we are done here, lets switch to the next function if len(data) > 1: data[func_state] ^= 0xFF data[func_state + 1] ^= 0xFF else: return data, None # input too small for byteflipping func_state += 1 return data, func_state def byteflip_4(data, func_state): if not func_state: func_state = 0 if func_state + 3 >= len(data): return data, None if len(data) > 3: data[func_state] ^= 0xFF data[func_state + 1] ^= 0xFF data[func_state + 2] ^= 0xFF data[func_state + 3] ^= 0xFF else: return data, None # input too small for byteflipping func_state += 1 return data, func_state def mutate_byte_arithmetic(data, func_state): if not func_state: func_state = [0, 0, False] if func_state[1] > AFL_ARITH_MAX: func_state[0] += 1 func_state[1] = 0 if func_state[0] >= len(data): if func_state[2] == False: func_state = [0, 0, True] else: return data, None # TODO: we have to check for could_be_bitflip() if func_state[2] == False: val = data[func_state[0]] + func_state[1] else: val = data[func_state[0]] - func_state[1] store_8(data, func_state[0], val) func_state[1] += 1 return data, func_state def mutate_2bytes_arithmetic(data, func_state): data_len = len(data) if data_len < 2: return data, None if not func_state: func_state = [0, 0, False] if func_state[1] > AFL_ARITH_MAX: func_state[0] += 1 func_state[1] = 0 if func_state[0] + 1 >= data_len: if func_state[2] == False: func_state = [0, 0, True] else: return data, None # TODO: we have to check for could_be_bitflip() val = load_16(data, func_state[0]) if func_state[2] == False: val += func_state[1] else: val -= func_state[1] store_16(data, func_state[0], val) func_state[1] += 1 return data, func_state def mutate_4bytes_arithmetic(data, func_state): data_len = len(data) if data_len < 4: return data, None if not func_state: func_state = [0, 0, False] if func_state[1] > AFL_ARITH_MAX: func_state[0] += 1 func_state[1] = 0 if func_state[0] + 3 >= len(data): if func_state[2] == False: func_state = [0, 0, True] else: return data, None # TODO: we have to check for could_be_bitflip() val = load_32(data, func_state[0]) if func_state[2] == False: val += func_state[1] else: val -= func_state[1] store_32(data, func_state[0], val) func_state[1] += 1 return data, func_state # TODO: implement is_not_bitflip and is_not_arithmetic def mutate_1byte_interesting(data, func_state): if not func_state: func_state = [0, 0] if func_state[1] >= len(interesting_8_Bit): func_state[0] += 1 func_state[1] = 0 if func_state[0] >= len(data): return data, None interesting_value = interesting_8_Bit[func_state[1]] data[func_state[0]] = in_range_8(interesting_value) func_state[1] += 1 return data, func_state # TODO: implement is_not_bitflip and is_not_arithmetic def mutate_2bytes_interesting(data, func_state): data_len = len(data) if data_len < 2: return data, None if not func_state: func_state = [0, 0, False] if func_state[1] >= len(interesting_16_Bit): func_state[0] += 1 func_state[1] = 0 if func_state[0] + 1 >= data_len: if func_state[2] == False: func_state = [0, 0, True] else: return data, None interesting_value = in_range_16(interesting_16_Bit[func_state[1]]) if func_state[2]: interesting_value = swap_16(interesting_value) store_16(data, func_state[0], interesting_value) func_state[1] += 1 return data, func_state # TODO: implement is_not_bitflip and is_not_arithmetic def mutate_4bytes_interesting(data, func_state): data_len = len(data) if data_len < 4: return data, None if not func_state: func_state = [0, 0, False] if func_state[1] >= len(interesting_32_Bit): func_state[0] += 1 func_state[1] = 0 if func_state[0] + 3 >= data_len: if func_state[2] == False: func_state = [0, 0, True] else: return data, None interesting_value = in_range_32(interesting_32_Bit[func_state[1]]) if func_state[2]: interesting_value = swap_32(interesting_value) store_32(data, func_state[0], interesting_value) func_state[1] += 1 return data, func_state #TODO: auto-create dictionary from binary #TODO: afl has this also https://github.com/mirrorer/afl/blob/2fb5a3482ec27b593c57258baae7089ebdc89043/afl-fuzz.c#L5123 def dictionary_overwrite(data, func_state): global tokens_list, tokens_list_length if tokens_list_length <= 0: return data, None if not func_state: func_state = [0, 0] # first is an index in tokens_list, second is an index in data data_len = len(data) token = tokens_list[func_state[0]] place = func_state[1] if data_len < len(token): return data, None if place >= data_len - len(token): func_state[0] += 1 # take the next token func_state[1] = 0 if func_state[0] >= len(tokens_list): return data, None data = data[:place] + bytearray(token) + data[place + len(token):] func_state[1] += 1 return data, func_state def dictionary_insert(data, func_state): global tokens_list, tokens_list_length if tokens_list_length <= 0: return data, None if not func_state: func_state = [0, 0] # first is an index in tokens_list, second is an index in data data_len = len(data) token = tokens_list[func_state[0]] place = func_state[1] if place >= data_len: func_state[0] += 1 # take the next token func_state[1] = 0 if func_state[0] >= len(tokens_list): return data, None data = data[:place] + bytearray(token) + data[place:] func_state[1] += 1 return data, func_state def havoc_bitflip(data): value_to_flip = RAND(len(data) * 8) data, res = bitflip_1bit(data, value_to_flip) return data def havoc_interesting_byte(data): value_to_change = RAND(len(data)) interesting_value_index = RAND(len(interesting_8_Bit)) func_state = [value_to_change, interesting_value_index] data, state = mutate_1byte_interesting(data, func_state) return data def havoc_interesting_2bytes(data): data_len = len(data) if data_len < 2: return data value_to_change = RAND(data_len - 1) # substract 1 to make sure we have space for 2 bytes interesting_value_index = RAND(len(interesting_16_Bit)) swap = RAND(2) # is swap? func_state = [value_to_change, interesting_value_index, swap] data, state = mutate_2bytes_interesting(data, func_state) return data def havoc_interesting_4bytes(data): data_len = len(data) if data_len < 4: return data value_to_change = RAND(len(data) - 3) # substract 1 to make sure we have space for 2 bytes interesting_value_index = RAND(len(interesting_32_Bit)) swap = RAND(2) # is swap? func_state = [value_to_change, interesting_value_index, swap] data, state = mutate_4bytes_interesting(data, func_state) return data def havoc_randomly_add(data): # similar to mutate_byte_arithmetic but a bit faster value_to_change = RAND(len(data)) data[value_to_change] = in_range_8(data[value_to_change] + 1 + RAND(AFL_ARITH_MAX)) return data def havoc_randomly_substract(data): # similar to mutate_byte_arithmetic but a bit faster value_to_change = RAND(len(data)) data[value_to_change] = in_range_8(data[value_to_change] - (1 + RAND(AFL_ARITH_MAX))) return data def havoc_randomly_add_2bytes(data): # similar to mutate_byte_arithmetic but a bit faster data_len = len(data) if data_len < 2: return data func_state = [RAND(data_len - 1), RAND(AFL_ARITH_MAX), True] # pos, value, is_sub data, func_state = mutate_2bytes_arithmetic(data, func_state) return data def havoc_randomly_substract_2bytes(data): # similar to mutate_byte_arithmetic but a bit faster data_len = len(data) if data_len < 2: return data func_state = [RAND(data_len - 1), RAND(AFL_ARITH_MAX), False] # pos, value, is_sub data, func_state = mutate_2bytes_arithmetic(data, func_state) return data def havoc_randomly_add_4bytes(data): # similar to mutate_byte_arithmetic but a bit faster data_len = len(data) if data_len < 4: return data func_state = [RAND(data_len - 3), RAND(AFL_ARITH_MAX), True] # pos, value, is_sub data, func_state = mutate_4bytes_arithmetic(data, func_state) return data def havoc_randomly_substract_4bytes(data): # similar to mutate_byte_arithmetic but a bit faster data_len = len(data) if data_len < 4: return data func_state = [RAND(data_len - 3), RAND(AFL_ARITH_MAX), False] # pos, value, is_sub data, func_state = mutate_4bytes_arithmetic(data, func_state) return data def havoc_set_randomly(data): pos = RAND(len(data)) data[pos] = in_range_8(data[pos] ^ (1 + RAND(255))); return data def havoc_remove_randomly_block(data): data_len = len(data) if data_len <= 2: return data len_to_remove = AFL_choose_block_len(data_len - 1) pos = RAND(data_len - len_to_remove + 1) data = data[:pos] + data[pos+len_to_remove:] return data def prepare_block(data): actually_clone = RAND(4) data_len = len(data) if actually_clone: clone_len = AFL_choose_block_len(data_len) clone_from = RAND(data_len - clone_len + 1 ) else: clone_len = AFL_choose_block_len(AFL_HAVOC_BLK_XL) clone_from = 0 clone_to = RAND(data_len) if actually_clone: block = data[clone_from:clone_from + clone_len] else: use_data_block = RAND(2) if use_data_block: block_start = RAND(data_len) block = data[block_start:block_start+clone_len] else: block = [RAND(256)] * clone_len # TODO: check if it is actually correct implementation block = bytearray(block) return block, clone_to, clone_len # insert random block def havoc_clone_randomly_block(data): block, clone_to, clone_len = prepare_block(data) if clone_len == 0: return data data = data[:clone_to] + block + data[clone_to:] return data # overwrite random block def havoc_overwrite_randomly_block(data): block, clone_to, clone_len = prepare_block(data) if clone_len == 0: return data data = data[:clone_to] + block + data[clone_to+clone_len:] return data # overwrite from dict def havoc_overwrite_with_dict(data): func_state = [RAND(len(tokens_list)), RAND(len(data))] data, func_state = dictionary_overwrite(data, func_state) return data # overwrite from dict def havoc_insert_with_dict(data): func_state = [RAND(len(tokens_list)), RAND(len(data))] data, func_state = dictionary_insert(data, func_state) return data

23.320789

119

0.715823

2,161

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4.061083

0.095326

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0.774499

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0.667958

0.603464

0

0.031444

0.171521

13,013

558

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23.320789

0.78258

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0

null

0

1

0

1

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null

0

3

254c57eea086024e7cb24ecf06076fc8d36a4cce

493

py

Python

src/waldur_auth_saml2/apps.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

26

2017-10-18T13:49:58.000Z

2021-09-19T04:44:09.000Z

src/waldur_auth_saml2/apps.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

14

2018-12-10T14:14:51.000Z

2021-06-07T10:33:39.000Z

src/waldur_auth_saml2/apps.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

32

2017-09-24T03:10:45.000Z

2021-10-16T16:41:09.000Z

from django.apps import AppConfig from django.contrib.auth import get_user_model class SAML2Config(AppConfig): name = 'waldur_auth_saml2' verbose_name = 'Auth SAML2' def ready(self): from djangosaml2.signals import pre_user_save from . import handlers pre_user_save.connect( handlers.update_registration_method, sender=get_user_model(), dispatch_uid='waldur_auth_saml2.handlers.update_registration_method', )

27.388889

81

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493

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0.534483

0.082569

0.073395

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0

0.013263

0.235294

493

17

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false

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0.307692

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0.615385

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1

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null

0

1

0

1

0

3

c265bfead5c04d97f2ed69e70f8a0380fd6fe54e

3,117

py

Python

tests.py

knutsenfiksdal/Oving_7

f2436a6ebd46542311da4459279e572a7f854e3c

[ "MIT" ]

null

tests.py

knutsenfiksdal/Oving_7

f2436a6ebd46542311da4459279e572a7f854e3c

[ "MIT" ]

null

tests.py

knutsenfiksdal/Oving_7

f2436a6ebd46542311da4459279e572a7f854e3c

[ "MIT" ]

null

import unittest from tur import Tur, Posisjon class TestTur(unittest.TestCase): def test_slutt_tidspunkt(self): tur1 = Tur('tur', 0, 15) tur2 = Tur('tur', 4, 6) self.assertGreater(tur1.sluttidspunkt, tur1.starttidspunkt) self.assertEqual(15, tur1.sluttidspunkt) self.assertEqual(6, tur2.sluttidspunkt) with self.assertRaises(ValueError): tur2.sluttidspunkt = 3 def test_add_posisjon(self): tur1 = Tur('Tur1', 0, 15) punkt1 = Posisjon(2, 3, 2) punkt2 = Posisjon(4, 4, 7) tur1.add_posisjon(punkt1) self.assertEqual(1, len(tur1.posisjoner)) self.assertEqual(2, tur1.posisjoner[0].x_koordinat) self.assertEqual(3, tur1.posisjoner[0].y_koordinat) self.assertEqual(2, tur1.posisjoner[0].hoyde) tur1.add_posisjon(punkt2) self.assertEqual(2, len(tur1.posisjoner)) self.assertEqual(4, tur1.posisjoner[1].x_koordinat) self.assertEqual(4, tur1.posisjoner[1].y_koordinat) self.assertEqual(7, tur1.posisjoner[1].hoyde) def test_add_posisjon_koordinater(self): tur1 = Tur('Tur1', 0, 15) tur1.add_posisjon_koordinater(2, 3, 2) self.assertEqual(1, len(tur1.posisjoner)) self.assertEqual(2, tur1.posisjoner[0].x_koordinat) self.assertEqual(3, tur1.posisjoner[0].y_koordinat) self.assertEqual(2, tur1.posisjoner[0].hoyde) tur1.add_posisjon_koordinater(4, 4, 7) self.assertEqual(2, len(tur1.posisjoner)) self.assertEqual(4, tur1.posisjoner[1].x_koordinat) self.assertEqual(4, tur1.posisjoner[1].y_koordinat) self.assertEqual(7, tur1.posisjoner[1].hoyde) def test_hoydemeter(self): tur1 = Tur('Tur', 0, 15) tur2 = Tur('Tur', 4, 6) punkt1 = Posisjon(2, 3, 2) punkt2 = Posisjon(20, 5, 20) punkt3 = Posisjon(18, 13, 22) punkt4 = Posisjon(2, 3, 2) punkt5 = Posisjon(5, 3, 10) punkt6 = Posisjon(15, 5, 18) punkt7 = Posisjon(12, 15, 12) tur1.add_posisjon(punkt1) tur1.add_posisjon(punkt2) tur1.add_posisjon(punkt3) tur1.add_posisjon(punkt4) self.assertEqual(40, tur1.hoydemeter()) tur2.add_posisjon(punkt5) tur2.add_posisjon(punkt6) tur2.add_posisjon(punkt7) self.assertEqual(14, tur2.hoydemeter()) def test_er_rundtur(self): tur1 = Tur('Tur', 0, 15) tur2 = Tur('Tur', 4, 6) punkt1 = Posisjon(2, 3, 2) punkt2 = Posisjon(20, 5, 20) punkt3 = Posisjon(18, 13, 22) punkt4 = Posisjon(2, 3, 2) punkt5 = Posisjon(5, 3, 10) punkt6 = Posisjon(15, 5, 18) punkt7 = Posisjon(12, 15, 12) tur1.add_posisjon(punkt1) tur1.add_posisjon(punkt2) tur1.add_posisjon(punkt3) tur1.add_posisjon(punkt4) tur2.add_posisjon(punkt5) tur2.add_posisjon(punkt6) tur2.add_posisjon(punkt7) self.assertTrue(tur1.er_rundtur()) self.assertFalse(tur2.er_rundtur()) if __name__ == '__main__': unittest.main()

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67

0.62111

398

3,117

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0.155779

0.158898

0.095339

0.029131

0.722458

0.70339

0.68697

0

0.093562

0.252486

3,117

85

68

36.670588

0.716738

0

0.688312

0

0.010908

0

0.311688

1

0.064935

false

0

0.025974

0

0.103896

0

null

0

1

0

1

0

null

0

3

c2c467a955b411f0b77e583250db02fa9a9ac46e

88

py

Python

src/processing/__init__.py

13375P34Ker/speech_analytics

5c6b5df888546b7e1c37541e267259fa5be07eb2

[ "MIT" ]

17

2021-01-30T10:53:05.000Z

2022-02-16T16:24:40.000Z

src/processing/__init__.py

DinoTheDinosaur/speech_analytics

f9661fe7575121a9262859d3cba91879565eaf70

[ "MIT" ]

4

2021-02-03T08:35:17.000Z

2021-02-05T08:39:26.000Z

src/processing/__init__.py

JI411/speech_analytics

5c6b5df888546b7e1c37541e267259fa5be07eb2

[ "MIT" ]

4

2021-01-31T04:08:43.000Z

2021-08-22T03:09:25.000Z

from src.processing.audio_processor import AudioProcessor __all__ = ['AudioProcessor']

22

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9

88

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88

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null

0

1

0

null

0

1

0

3

c2cda26dad1a5f0d87b646429b0caa594c06a5dc

1,057

py

Python

Advent2016_02b.py

MLCarey321/AdventOfCode2016

cdd1ec47d89a8c6d05e9155b7ff282c91f0a1101

[ "MIT" ]

1

2016-12-02T03:12:16.000Z

Advent2016_02b.py

MLCarey321/AdventOfCode2016

cdd1ec47d89a8c6d05e9155b7ff282c91f0a1101

[ "MIT" ]

null

Advent2016_02b.py

MLCarey321/AdventOfCode2016

cdd1ec47d89a8c6d05e9155b7ff282c91f0a1101

[ "MIT" ]

null

#!/usr/bin/python3 import sys keyMap = {(0, 0): " ", (1, 0): " ", (2, 0): "1", (3, 0): " ", (4, 0): " ", (0, 1): " ", (1, 1): "2", (2, 1): "3", (3, 1): "4", (4, 1): " ", (0, 2): "5", (1, 2): "6", (2, 2): "7", (3, 2): "8", (4, 2): "9", (0, 3): " ", (1, 3): "A", (2, 3): "B", (3, 3): "C", (4, 3): " ", (0, 4): " ", (1, 4): " ", (2, 4): "D", (3, 4): " ", (4, 4): " "} x = 0 y = 2 tempx = 0 tempy = 0 passcode = "" while True: string = sys.stdin.readline() if len(string) > 1: for direction in string: tempx = x tempy = y if direction == "U": tempy = max(y-1, 0) elif direction == "D": tempy = min(y+1, 4) elif direction == "L": tempx = max(x-1, 0) elif direction == "R": tempx = min(x+1, 4) if keyMap[(tempx, tempy)] != " ": x = tempx y = tempy passcode += keyMap[(x, y)] else: break print passcode

27.102564

74

0.336802

144

1,057

2.472222

0.305556

0.022472

0.016854

0.08427

0

0.118123

0.415326

1,057

38

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27.815789

0.457929

0.016083

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0

null

0

1

0

null

0

1

0

1

0

3

c2cf832d27bc89ee3acc1d1903bf9ebe57ceb057

1,230

py

Python

app/local/collectors/mongodb.py

darkframemaster/learngit

6c7a13d098db341f349b866ebbe0509794a9add6

[ "MIT" ]

1

2016-09-10T16:42:35.000Z

app/local/collectors/mongodb.py

darkframemaster/learngit

6c7a13d098db341f349b866ebbe0509794a9add6

[ "MIT" ]

null

app/local/collectors/mongodb.py

darkframemaster/learngit

6c7a13d098db341f349b866ebbe0509794a9add6

[ "MIT" ]

null

#!/usr/bin/env python3 #-*- coding:utf-8 -*- import pymongo class Db(): def __init__(self, reponame, **kw): self.__connection = pymongo.MongoClient(**kw) self.__db = self.__connection[str(reponame)] def drop_commit(self): self.__db.drop_collection('commit') def drop_user(self): self.__db.drop_collection('user') def save_user(self, insert_data={}): collection = self.__db['user'] collection.insert_one(insert_data) def save_users(self, insert_data=[]): collection = self.__db['user'] collection.insert_many(insert_data) def save_commit(self, insert_data={}): collection = self.__db['commit'] collection.insert_one(insert_data) def save_commits(self, insert_data={}): collection = self.__db['commit'] collection.insert_many(insert_data) def find_user(self, find_data={}): collection = self.__db['user'] return collection.find_one(find_data) def find_users(self, find_data={}): collection = self.__db['user'] return collection.find(find_data) def find_commit(self, find_data={}): collection = self.__db['commit'] return collection.find_one(find_data) def find_commits(self, find_data={}): collection = self.__db['commit'] return collection.find(find_data)

24.6

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4.922156

0.191617

0.080292

0.175182

0.194647

0.717762

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0.59854

0.549878

0.506083

0.257908

0

0.001869

0.130081

1,230

49

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25.102041

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0.484848

0

0.042194

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6c0b5eaed5afb539b4679538d50a6606adfed472

2,949

py

Python

web_api/yonyou/apis/sale_invoice_items.py

zhanghe06/flask_restful

6ef54f3f7efbbaff6169e963dcf45ab25e11e593

[ "MIT" ]

1

2020-12-04T03:15:47.000Z

web_api/yonyou/apis/sale_invoice_items.py

zhanghe06/flask_restful

6ef54f3f7efbbaff6169e963dcf45ab25e11e593

[ "MIT" ]

1

2021-06-01T22:24:27.000Z

web_api/yonyou/apis/sale_invoice_items.py

zhanghe06/flask_restful

6ef54f3f7efbbaff6169e963dcf45ab25e11e593

[ "MIT" ]

2

2020-12-04T03:16:18.000Z

2021-09-04T14:10:12.000Z

#!/usr/bin/env python # encoding: utf-8 """ @author: zhanghe @software: PyCharm @file: sale_invoice_items.py @time: 2018-07-24 16:47 """ from libs.mysql_orm_op import DbInstance from web_api.databases.yonyou import db from web_api.models.yonyou import SASaleInvoiceB db_instance = DbInstance(db) def get_sale_invoice_items_row_by_id(sale_invoice_items_id): """ 通过 id 获取信息 :param sale_invoice_items_id: :return: None/object """ return db_instance.get_row_by_id(SASaleInvoiceB, sale_invoice_items_id) def get_sale_invoice_items_row(*args, **kwargs): """ 获取信息 :param args: :param kwargs: :return: None/object """ return db_instance.get_row(SASaleInvoiceB, *args, **kwargs) def get_sale_invoice_items_rows(*args, **kwargs): """ 获取列表 :param args: :param kwargs: :return: """ return db_instance.get_rows(SASaleInvoiceB, *args, **kwargs) def get_sale_invoice_items_limit_rows_by_last_id(last_pk, limit_num, *args, **kwargs): """ 通过最后一个主键 id 获取最新信息列表 :param last_pk: :param limit_num: :param args: :param kwargs: :return: """ return db_instance.get_limit_rows_by_last_id(SASaleInvoiceB, last_pk, limit_num, *args, **kwargs) def add_sale_invoice_items(sale_invoice_items_data): """ 添加信息 :param sale_invoice_items_data: :return: None/Value of user.id :except: """ return db_instance.add(SASaleInvoiceB, sale_invoice_items_data) def edit_sale_invoice_items(sale_invoice_items_id, sale_invoice_items_data): """ 修改信息 :param sale_invoice_items_id: :param sale_invoice_items_data: :return: Number of affected rows (Example: 0/1) :except: """ return db_instance.edit(SASaleInvoiceB, sale_invoice_items_id, sale_invoice_items_data) def delete_sale_invoice_items(sale_invoice_items_id): """ 删除信息 :param sale_invoice_items_id: :return: Number of affected rows (Example: 0/1) :except: """ return db_instance.delete(SASaleInvoiceB, sale_invoice_items_id) def get_sale_invoice_items_pagination(page=1, per_page=10, *args, **kwargs): """ 获取列表（分页） Usage: items: 信息列表 has_next: 如果本页之后还有超过一个分页，则返回True has_prev: 如果本页之前还有超过一个分页，则返回True next_num: 返回下一页的页码 prev_num: 返回上一页的页码 iter_pages(): 页码列表 iter_pages(left_edge=2, left_current=2, right_current=5, right_edge=2) 页码列表默认参数 :param page: :param per_page: :param args: :param kwargs: :return: """ rows = db_instance.get_pagination(SASaleInvoiceB, page, per_page, *args, **kwargs) return rows def delete_sale_invoice_items_table(): """ 清空表 :return: """ return db_instance.delete_table(SASaleInvoiceB) def count_sale_invoice_items(*args, **kwargs): """ 计数 :param args: :param kwargs: :return: """ return db_instance.count(SASaleInvoiceB, *args, **kwargs)

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1

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6c1400795bc66234bcc0b1c3aaf3f4dce0fe0dfa

525

py

Python

dpscalc.py

LucasMolander/WoW-DPS-Calculator

d08295136a0a0f65e595f370512082ca56531123

[ "MIT" ]

null

dpscalc.py

LucasMolander/WoW-DPS-Calculator

d08295136a0a0f65e595f370512082ca56531123

[ "MIT" ]

null

dpscalc.py

LucasMolander/WoW-DPS-Calculator

d08295136a0a0f65e595f370512082ca56531123

[ "MIT" ]

null

# # Contains the classes that calculate the DPS for each spec. :) # from stats import Stats from abc import ABC, abstractmethod class DPSCalc(ABC): def __init__(self): pass @abstractmethod def calculate(self, stats): """ @param stats Stats object """ pass class RogueDPSCalc(DPSCalc): def calculate(self, stats): assert isinstance(stats, Stats), 'stats must be a Stats object' print('I did muh calcalatan')

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null

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1

0

1

0

3

6c2a69e925ccbff9599db1bae2d7577d27466479

156

py

Python

vjudge_interface/requests/request.py

Quinas/vjudge-interface

3302ae084f7781bc465443c9fd957065bce67fc0

[ "MIT" ]

null

vjudge_interface/requests/request.py

Quinas/vjudge-interface

3302ae084f7781bc465443c9fd957065bce67fc0

[ "MIT" ]

3

2021-03-31T19:28:18.000Z

2021-12-13T20:24:37.000Z

vjudge_interface/requests/request.py

Quinas/vjudge_interface

3302ae084f7781bc465443c9fd957065bce67fc0

[ "MIT" ]

null

class Request: def __init__(self): self.timeout = 5000 def get_params(self): return {} def get_body(self): return {}

14.181818

27

0.551282

18

156

4.444444

0.611111

0.15

0

0.039216

0.346154

156

10

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null

0

null

0

1

0

1

0

3

6c330dc8d33d8bc247d4efba62832d770eb20ea4

1,108

py

Python

dhukiya/apps/core/migrations/0004_auto_20210211_1128.py

fikryans/dhukiya_porto

9108e51a2feeb275e07c77f81edae07636cf89b6

[ "MIT" ]

null

dhukiya/apps/core/migrations/0004_auto_20210211_1128.py

fikryans/dhukiya_porto

9108e51a2feeb275e07c77f81edae07636cf89b6

[ "MIT" ]

null

dhukiya/apps/core/migrations/0004_auto_20210211_1128.py

fikryans/dhukiya_porto

9108e51a2feeb275e07c77f81edae07636cf89b6

[ "MIT" ]

null

# Generated by Django 3.1.6 on 2021-02-11 11:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0003_auto_20210210_2324'), ] operations = [ migrations.AddField( model_name='setting', name='site_address', field=models.CharField(blank=True, max_length=255, null=True, verbose_name='Address'), ), migrations.AddField( model_name='setting', name='site_closetime', field=models.DateTimeField(null=True), ), migrations.AddField( model_name='setting', name='site_email', field=models.EmailField(max_length=254, null=True), ), migrations.AddField( model_name='setting', name='site_opentime', field=models.DateTimeField(null=True), ), migrations.AddField( model_name='setting', name='site_phone', field=models.IntegerField(null=True, verbose_name='Phone Number'), ), ]

28.410256

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5.651376

0.449541

0.146104

0.186688

0.219156

0.457792

0.321429

0.24026

0

0.048493

0.311372

1,108

38

99

29.157895

0.758847

0.040614

0

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0.021678

0

1

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false

0

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0

null

0

1

0

1

0

null

0

3

6c58e7480edd405e6d61dad583606d3ad64ebce7

3,654

py

Python

app/models.py

JadeMaveric/CollegeVenturers

885039bb07a7ed42455df928d248d64daabb6edd

[ "MIT" ]

1

2019-09-25T07:14:08.000Z

app/models.py

JadeMaveric/CollegeVenturers

885039bb07a7ed42455df928d248d64daabb6edd

[ "MIT" ]

3

2019-09-20T05:52:16.000Z

2021-06-02T00:23:39.000Z

app/models.py

JadeMaveric/CollegeVenturers

885039bb07a7ed42455df928d248d64daabb6edd

[ "MIT" ]

2

2019-09-20T04:34:51.000Z

2019-09-20T06:38:15.000Z

from app import db from app import login from werkzeug.security import generate_password_hash, check_password_hash from flask_login import UserMixin from datetime import datetime from hashlib import md5 @login.user_loader def load_user(id): return User.query.get(int(id)) project_contributors = db.Table('project_contributors', db.Model.metadata, db.Column('contributors', db.Integer, db.ForeignKey('user.id')), db.Column('project', db.Integer, db.ForeignKey('project.id')) ) project_upvoters = db.Table('project_upvoters', db.Model.metadata, db.Column('project', db.Integer, db.ForeignKey('project.id')), db.Column('upvoters', db.Integer, db.ForeignKey('user.id')) ) project_comment = db.Table('project_comments', db.Model.metadata, db.Column('project', db.Integer, db.ForeignKey('project.id')), db.Column('comment', db.Integer, db.ForeignKey('comment.id')) ) class User(UserMixin, db.Model): __tablename__ = 'user' # Login details id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(64), index=True, unique=True, nullable=False) email = db.Column(db.String(128), index=True, unique=True, nullable=False) password_hash = db.Column(db.String(128)) # Profile details first_name = db.Column(db.String(32)) last_name = db.Column(db.String(32)) college = db.Column(db.String(64)) website = db.Column(db.String(128)) about_me = db.Column(db.Text) social_github = db.Column(db.String(128)) social_linked = db.Column(db.String(128)) social_twitter = db.Column(db.String(128)) # Posts comments = db.relationship('Comment', backref='author', lazy='dynamic') upvotes = db.relationship('Project', secondary=project_upvoters, backref='upvoters') def set_password(self, password): self.password_hash = generate_password_hash(password) def check_password(self, password): return check_password_hash(self.password_hash, password) def avatar(self, size): digest = md5(self.email.lower().encode('utf-8')).hexdigest() return f'https://www.gravatar.com/avatar/{digest}?d=identicon&s={size}' def __repr__(self): return f'<User {self.username}>' class Project(db.Model): __tablename__ = 'project' id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(64), nullable=False) summary = db.Column(db.String(256)) website = db.Column(db.String(128)) description = db.Column(db.Text) future_scope = db.Column(db.String(32)) short_term_goal = db.Column(db.Text) category_primary = db.Column(db.String(32)) category_secondary = db.Column(db.String(32)) category_tertiary = db.Column(db.String(32)) comments = db.relationship('Comment', secondary=project_comment, backref='project') contributors = db.relationship('User', secondary=project_contributors, backref='projects') #rank = %COUNT(upvotes) WHERE PROJECT = self.id def rank(self): raise NotImplementedError def upvote_number(self): raise NotImplementedError def upvote_user_list(self): raise NotImplementedError def __repr__(self): return f'<Project {self.name}>' class Comment(db.Model): __tablename__ = 'comment' id = db.Column(db.Integer, primary_key=True) text = db.Column(db.Text, nullable=False) timestamp = db.Column(db.DateTime, default=datetime.utcnow) user_id = db.Column(db.Integer, db.ForeignKey('user.id')) def __repr__(self): return f'<Comment {self.author} - {self.timestamp}>' @login.user_loader def load_user(id): return User.query.get(int(id))

36.178218

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491

3,654

5.063136

0.232179

0.102977

0.104586

0.109413

0.417136

0.291633

0.153661

0.113837

0.095736

0

0.014653

0.159551

3,654

101

95

36.178218

0.794855

0.022167

0

0.240506

1

0

0.109555

0

1

0.139241

false

0.075949

0.759494

0

null

0

1

0

null

0

1

0

1

0

3

6c6f8c493da10f3993f9cf31c2ae3b4b61ccd207

2,434

py

Python

src/processing/canopy_height_models.py

Croydon-Brixton/gedi-biomass-mapping

bd6021a8515597d5ce14221afa47758803b4864a

[ "MIT" ]

null

src/processing/canopy_height_models.py

Croydon-Brixton/gedi-biomass-mapping

bd6021a8515597d5ce14221afa47758803b4864a

[ "MIT" ]

null

src/processing/canopy_height_models.py

Croydon-Brixton/gedi-biomass-mapping

bd6021a8515597d5ce14221afa47758803b4864a

[ "MIT" ]

null

"""Functions for calculating biomass from TCH of canopy height models""" def longo2016_acd(top_of_canopy_height: float) -> float: """ Convert `top_of_canopy_height` (tch) to biomass according to the formula in Longo et al. 2016. Source: https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement? doi=10.1002%2F2016GB005465&file=gbc20478-sup-0001-supplementary.pdf Note: The original formula is in units of kgC/m2. We therefore multiply the result by 10 to get the ACD values in MgC/ha Args: top_of_canopy_height (float): Top of canopy height in meters (meant to work with mean TCH at 50x50m resolution as that is what was used in the creation of the formula) Returns: float: Above ground carbon density in MgC/ha. """ # Note: ACD units are in MgC/ha (hence multiplication by 10). To get units in # kgC/ha, remove multiplication by 10 return 10 * 0.054 * top_of_canopy_height ** 1.76 def asner2014_acd(top_of_canopy_height: float) -> float: """ Convert `top_of_canopy_height` (tch) to biomass according to the general ACD formula in Asner & Mascaro 2014. Source: https://www.sciencedirect.com/science/article/pii/S003442571300360X Args: top_of_canopy_height (float): Top of canopy height in meters (meant to work with mean TCH at 50x50m resolution as that is what was used in the creation of the formula) Returns: float: Above ground carbon density in MgC/ha. """ # Note: native ACD unit of formula is MgC/ha. To convert to # kgC/m2, divide by 10. return 6.8500 * top_of_canopy_height ** 0.9520 def asner2014_colombia_acd(top_of_canopy_height: float) -> float: """ Convert `top_of_canopy_height` (tch) to biomass according to the Colombia ACD formula in Asner & Mascaro 2014. Source: https://www.sciencedirect.com/science/article/pii/S003442571300360X Args: top_of_canopy_height (float): Top of canopy height in meters (meant to work with mean TCH at 50x50m resolution as that is what was used in the creation of the formula) Returns: float: Above ground carbon density in MgC/ha. """ # Note: native ACD unit of formula is MgC/ha. To convert to # kgC/m2, divide by 10. return 2.1011 * top_of_canopy_height ** 1.2682

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