xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

d1db194acc48ba08896bce03de127dc0d2ac394c

121

py

Python

apps/home/tempCodeRunnerFile.py

Rbc-1234/kcb

822d588ea4522dabb002bc6fbebe31e48532bd29

[ "MIT" ]

null

apps/home/tempCodeRunnerFile.py

Rbc-1234/kcb

822d588ea4522dabb002bc6fbebe31e48532bd29

[ "MIT" ]

null

apps/home/tempCodeRunnerFile.py

Rbc-1234/kcb

822d588ea4522dabb002bc6fbebe31e48532bd29

[ "MIT" ]

null

print ("Enter num 1") num1 = int(input()) print ("Enter num 2") num2 = int(input()) print("sum of the number", num1+num2)

24.2

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0.652893

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121

3.761905

0.619048

0.253165

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0.058252

0.14876

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null

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5

d1ebcf091628eff80b7ca3cf3e971560dae1a2d4

27

py

Python

src/analysis/__init__.py

JunCEEE/hummingbird

0b1bdf5023b92090f31d9bc857e0854a805cf2cd

[ "BSD-2-Clause" ]

14

2016-02-18T23:10:12.000Z

2021-07-30T09:19:56.000Z

src/analysis/__init__.py

JunCEEE/hummingbird

0b1bdf5023b92090f31d9bc857e0854a805cf2cd

[ "BSD-2-Clause" ]

66

2015-11-18T15:39:45.000Z

2015-12-06T16:06:20.000Z

src/analysis/__init__.py

JunCEEE/hummingbird

0b1bdf5023b92090f31d9bc857e0854a805cf2cd

[ "BSD-2-Clause" ]

13

2016-07-07T13:15:52.000Z

2021-11-10T11:56:13.000Z

from backend import ureg

6.75

24

0.777778

4

27

5.25

1

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0.222222

27

3

25

9

1

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1

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null

0

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1

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5

d1f6f456d275d853b8e9b193f4826f51f91b7c41

303

py

Python

kb_errors.py

joshuachen0/kanban

867822c1f6df3e94a2a3e778a6b90cea986d55c5

[ "MIT" ]

null

kb_errors.py

joshuachen0/kanban

867822c1f6df3e94a2a3e778a6b90cea986d55c5

[ "MIT" ]

null

kb_errors.py

joshuachen0/kanban

867822c1f6df3e94a2a3e778a6b90cea986d55c5

[ "MIT" ]

null

class Error(Exception): pass class AreaOutOfSpaceError(Error): def __init__(self, area): self.area = area class TaskDoesNotExistError(Error): def __init__(self, num): self.num = num class AreaDoesNotExistError(Error): def __init__(self, area): self.area = area

21.642857

35

0.673267

34

303

5.647059

0.352941

0.166667

0.1875

0.25

0.333333

0

0.227723

303

14

36

21.642857

0.820513

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false

0.090909

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null

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0

1

0

5

060e3cb3a9f7e96d16ad84066c47195391ca99f1

44

py

Python

esbmc_launcher/tests/__init__.py

rafaelsamenezes/esbmc-launcher

e7d12df0c23eb4805874fe063a03dc08f7c4f888

[ "MIT" ]

2

2021-11-24T15:18:28.000Z

2021-11-25T14:43:04.000Z

esbmc_launcher/tests/__init__.py

rafaelsamenezes/esbmc-launcher

e7d12df0c23eb4805874fe063a03dc08f7c4f888

[ "MIT" ]

null

esbmc_launcher/tests/__init__.py

rafaelsamenezes/esbmc-launcher

e7d12df0c23eb4805874fe063a03dc08f7c4f888

[ "MIT" ]

null

"""Unit test package for esbmc_launcher."""

22

43

0.727273

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5.166667

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0.113636

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1

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0.794872

0.840909

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null

0

1

0

5

ae533308712d5ff9c0443f4edd396fefa340d9c2

123

py

Python

torchplasma/spatial/__init__.py

hdkai/Plasma

1942d7fe5f6b41c9a16c8e2d1b6c7cf263307c39

[ "Apache-2.0" ]

null

torchplasma/spatial/__init__.py

hdkai/Plasma

1942d7fe5f6b41c9a16c8e2d1b6c7cf263307c39

[ "Apache-2.0" ]

null

torchplasma/spatial/__init__.py

hdkai/Plasma

1942d7fe5f6b41c9a16c8e2d1b6c7cf263307c39

[ "Apache-2.0" ]

null

20.5

68

0.731707

14

123

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0.178862

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0

1

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1

0

1

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5

ae7317bdf76804abea17d16c44617f4bf2597dde

8,829

py

Python

luck.py

TSpidermanBoss/Gametm

f33cc7789f470df583a27ffa16482a256eeee8d7

[ "MIT" ]

null

luck.py

TSpidermanBoss/Gametm

f33cc7789f470df583a27ffa16482a256eeee8d7

[ "MIT" ]

null

luck.py

TSpidermanBoss/Gametm

f33cc7789f470df583a27ffa16482a256eeee8d7

[ "MIT" ]

1

2019-05-08T05:05:25.000Z

from pyrogram import Client, Filters, Emoji import random import time bot = "668734257:AAFcWHnAbjcu_Or792LlRHiwx-FFAoNl2kI" app = Client("session",bot_token=bot,api_id=605563,api_hash="7f2c2d12880400b88764b9b304e14e0b") @app.on_message(Filters. command('toss')) def ran(client, message) : b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": message.reply(random.choice(['💫 Result : **Head**', '💫 Result :**Tail** ','💫 Result : **Tail**', '💫 Result :**Head** ', '💫 Result : **Tail**', '💫 Result :**Head** ','💫 Result : **Tail**', '💫 Result :**Head** '])) @app.on_message(Filters. command('sps')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": message.reply(random.choice(['💫 Result :** Paper** ', '💫 Result : **Stone** ','💫 Result : **Sessiors**'])) @app.on_message(Filters. command('decide')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": message.reply(random.choice(['💫 Result :** Yes** ', '💫 Result : **Maybe** ','💫 Result :** No** '])) @app.on_message(Filters.command('bowl')) def ran(client, message): b = client.get_chat_member(message.chat.id,message.from_user.id) client.send_message(-1001250871922, message.text + " " + str(message.chat.id) +" " + str(message.from_user.id) + str(b.user.first_name+" "+ "@" +b.user.username)) if b.status == 'administrator' or b.status =="creator": if len(message.text.split(' ')) > 1: x = random.choice(["3","2","3","4","2","1","2","4","1","6","3","4","2","3","6","4","3"]) y = random.choice(["Run out","catch out","🚾 Wicket 🚾"]) z = random.choice(["dot ball","wide ball","no ball"]) message.reply(random.choice([ "**Ball 0.{}🎾**: Score **" + x + "** Runs","**Ball 0.{}🎾**: " + z, "**Ball 0.{}🎾**: Score **" + x + "** Runs" ,"**Ball 0.{}🎾**: " + z,"**Ball 0.{}🎾**:" + y ,"**Ball 0.{}🎾**: Score **" + x + "** Runs" , ]).format(message.text.split(' ')[1])) else: message.reply('Please write ball number after command!') @app.on_message(Filters.command('ball')) def ran(client, message): b = client.get_chat_member(message.chat.id,message.from_user.id) client.send_message(-1001250871922, message.text + " " + str(message.chat.id) +" " + str(message.from_user.id) + str(b.user.first_name+" "+ "@" +b.user.username)) if b.status == 'administrator' or b.status =="creator": if len(message.text.split(' ')) > 1: x = random.choice(["3","2","4","3","2","1","2","3","2","4","6"]) y = random.choice(["Run out","catch out","🚾 Wicket 🚾"]) z = random.choice(["dot ball","wide ball","no ball"]) message.reply(random.choice([ "**Ball 0.{}🎾**: Score **" + x + "** Runs","**Ball 0.{}🎾**: " + z, "**Ball 0.{}🎾**: Score **" + x + "** Runs" ,"**Ball 0.{}🎾**: " + z,"**Ball 0.{}🎾**:" + y ,"**Ball 0.{}🎾**: Score **" + x + "** Runs" , ]).format(message.text.split(' ')[1])) else: message.reply('Please write ball number after command!') @app.on_message(Filters.command('roll')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": if len(message.text.split(' ')) > 1: message.reply(random.choice(range(1, int(message.text.split(' ')[1])))) else: message.reply('Please set a range!') @app.on_message(Filters.command('droll')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": if len(message.text.split(' ')) > 1: message.reply(random.choice(range(1, int(message.text.split(' ')[1])))) message.reply(random.choice(range(1, int(message.text.split(' ')[1])))) else: message.reply('Please set a range!') @app.on_message(Filters. command('dice')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": message.reply(random.choice(['👨‍🎓 Result: 1⃣','👨‍🎓 Result: 2⃣','👨‍🎓 Result: 3⃣','👨‍🎓 Result: 4⃣','👨‍🎓 Result: 5⃣','👨‍⚕ Result: 6⃣'])) @app.on_message(Filters. command('help')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": message.reply('My commands : /toss , /spin , /droll , /roll {range} ,/sps , /dice , /dice2 , /show , /bowl , /decide Need Help Contact - @google_console ') @app.on_message(Filters. command('show')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": if len(message.text.split(' ')) > 1: message.reply(random.choice([ '👨‍🎓 {} Card : 2⃣','👨‍🎓 {} Card : 3⃣','👨‍🎓 {} Card : 4⃣','👨‍🎓 {} Card : 5⃣','👨‍🎓 {} Card : 2⃣','👨‍🎓 {} Card : 6⃣','👨‍🎓 {} Card : 7⃣','👨‍🎓 {} Card : 8⃣','👨‍🎓 {} Card : 9⃣','👨‍🎨 {} Card : 🔟','🧛‍♂ {} Card : 🇦','🤴 {} Card : 🇰','👨‍🎨 {} Card : 🇯','👸 {} Card : 🇶']).format(message.text.split(' ')[1]) + random.choice([ "♠️","♣️","♥️","♦️" ]) ) message.reply(random.choice([ '👨‍🎓 {} Card : 2⃣','👨‍🎓 {} Card : 3⃣','👨‍🎓 {} Card : 4⃣','👨‍🎓 {} Card : 5⃣','👨‍🎓 {} Card : 2⃣','👨‍🎓 {} Card : 6⃣','👨‍🎓 {} Card : 7⃣','👨‍🎓 {} Card : 8⃣','👨‍🎓 {} Card : 9⃣','👨‍🎨 {} Card : 🔟','🧛‍♂ {} Card : 🇦','🤴 {} Card : 🇰','👨‍🎨 {} Card : 🇯','👸 {} Card : 🇶']).format(message.text.split(' ')[1]) + random.choice([ "♠️","♣️","♥️","♦️" ]) ) message.reply(random.choice([ '👨‍🎓 {} Card : 2⃣','👨‍🎓 {} Card : 3⃣','👨‍🎓 {} Card : 4⃣','👨‍🎓 {} Card : 5⃣','👨‍🎓 {} Card : 2⃣','👨‍🎓 {} Card : 6⃣','👨‍🎓 {} Card : 7⃣','👨‍🎓 {} Card : 8⃣','👨‍🎓 {} Card : 9⃣','👨‍🎨 {} Card : 🔟','🧛‍♂ {} Card : 🇦','🤴 {} Card : 🇰','👨‍🎨 {} Card : 🇯','👸 {} Card : 🇶']).format(message.text.split(' ')[1]) + random.choice([ "♠️","♣️","♥️","♦️" ]) ) else: message.reply('Write user first name after command!') @app.on_message(Filters. command('dice2')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": message.reply(random.choice(['👨‍🎓 Result: 1⃣','👨‍🎓 Result: 2⃣','👨‍🎓 Result: 3⃣','👨‍🎓 Result: 4⃣','👨‍🎓 Result: 5⃣','👨‍⚕ Result: 6⃣'])) message.reply(random.choice(['👨‍🎓 Result: 1⃣','👨‍🎓 Result: 2⃣','👨‍🎓 Result: 3⃣','👨‍🎓 Result: 4⃣','👨‍🎓 Result: 5⃣','👨‍⚕ Result: 6⃣'])) @app.on_message(Filters. command('leavechat')) def ran(client,message): if message.from_user.id == 491634139: if len(message.text.split( )) > 1: client.leave_chat(int(message.text.split(' ')[1])) else: client.leave_chat(message.chat.id) @app.on_message(Filters.command('rolls')) def ran(client, message): b = client.get_chat_member(message.chat.id , message.from_user.id).status if b == 'administrator' or b == "creator": mes = message.reply("**☢️ Spinning..ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ**") time.sleep(1) client.edit_message_text(message.chat.id,mes.message_id, "**" + "☢️ Spinning...ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ ㅤ" +"**") time.sleep(1) client.edit_message_text(message.chat.id,mes.message_id, "**" + "☢️ Spinning....ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ" +"**") time.sleep(1) client.edit_message_text(message.chat.id,mes.message_id, "**" + "☢️ Spinning...ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ" +"**") time.sleep(1) client.edit_message_text(message.chat.id,mes.message_id, "**" + "☢️ Spinning..ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ" +"**") time.sleep(1) z = str(random.choice(range(0,36))) mod = int(z) % 2 if mod > 0: client.edit_message_text(message.chat.id,mes.message_id, "**" + "☢️ Spinner Stopped at " + z +" " +"🔴ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ" +"**") elif int(z) == 0: client.edit_message_text(message.chat.id,mes.message_id, "**" + "☢️ Spinner Stopped at " + z +" " +"Jackpot Number 🤑🤑ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ" +"**") else: client.edit_message_text(message.chat.id,mes.message_id, "**" + "☢️ Spinner Stopped at " + z +" " +"⚫ㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤㅤ" +"**") @app.on_message(Filters. private & Filters.command("start")) def ran( client, message) : message.reply( """♻️ This is Gamebot created by a wonderful person ✍️. My commands : 👉 flip a coin 1. /toss 👉 for bowling 2. /bowl {bowl no.} 👉 For show user cards 3. /show {username} 👉 for sps 5. /sps 👉 for even odd 6. /dice or /roll {range} 👉 for double roll 7. /droll {range} or /dice2 👉 for decision 8. /decide 👉 for roulette 9. /rolls All command exist only Admins in Super groups ✍️. """,disable_web_page_preview = True ) client.forward_messages(-1001250871922, message.chat.id ,[message.message_id]) @app.on_message(Filters.new_chat_members) def joined(client, Message): for i in Message.new_chat_members: if i.id == 691205521: client.send_message(-1001250871922,"I am added to " + str(Message.chat.id)) app.run()

51.331395

373

0.592593

1,356

8,829

4.020649

0.143068

0.026412

0.057227

0.052274

0.767058

0.734226

0.725789

0.718819

0.716068

0

0.031482

0.147355

8,829

171

374

51.631579

0.65077

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0.524138

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0.103448

false

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0.124138

0

null

0

1

0

null

0

5

ae78b3cdd2dc7efe1079fd1d232b81b17c939eb1

214

py

Python

pytpp/attributes/workflow_container.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

4

2022-02-04T23:58:55.000Z

2022-02-15T18:53:08.000Z

pytpp/attributes/workflow_container.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

pytpp/attributes/workflow_container.py

Venafi/pytpp

42af655b2403b8c9447c86962abd4aaa0201f646

[ "MIT" ]

null

from pytpp.attributes._helper import IterableMeta from pytpp.attributes.top import TopAttributes class WorkflowContainerAttributes(TopAttributes, metaclass=IterableMeta): __config_class__ = "Workflow Container"

30.571429

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null

0

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1

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5

884b089891abaffe7a5bdf81e1b3a407e24ab2c3

262

py

Python

ProductAPI/Api/models.py

JunaidRaza78/API-PRODUCT

0434e679f237b47fca3f526ebd62c8e15b3c759a

[ "MIT" ]

null

ProductAPI/Api/models.py

JunaidRaza78/API-PRODUCT

0434e679f237b47fca3f526ebd62c8e15b3c759a

[ "MIT" ]

null

ProductAPI/Api/models.py

JunaidRaza78/API-PRODUCT

0434e679f237b47fca3f526ebd62c8e15b3c759a

[ "MIT" ]

null

from django.db import models class Product(models.Model): objects = None name = models.CharField(max_length=100) Color = models.CharField(max_length=500) size = models.CharField(max_length=10) def __str__(self): return self.name

20.153846

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0.694656

35

262

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0.308571

0.411429

0

0.038647

0.209924

262

13

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20.153846

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null

1

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null

0

1

0

5

886d308ac524d78736b3ae98f3222c32402b869a

85

py

Python

enthought/enable/container.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/enable/container.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/enable/container.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from enable.container import *

21.25

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0.835294

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6

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0.129412

85

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true

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0

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5

88728de11eaae34cda43335fe992d9442c62a868

1,443

py

Python

admin_app/migrations/0010_auto_20200715_0913.py

xjati46/maestro_project

4bef5b1674f2b366a35a9b9fe9f1f3776a44a293

[ "MIT" ]

null

admin_app/migrations/0010_auto_20200715_0913.py

xjati46/maestro_project

4bef5b1674f2b366a35a9b9fe9f1f3776a44a293

[ "MIT" ]

4

2021-03-23T13:51:03.000Z

2021-09-22T19:26:51.000Z

admin_app/migrations/0010_auto_20200715_0913.py

xjati46/maestro_project

4bef5b1674f2b366a35a9b9fe9f1f3776a44a293

[ "MIT" ]

null

# Generated by Django 3.0.7 on 2020-07-15 02:13 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('admin_app', '0009_auto_20200714_1603'), ] operations = [ migrations.AddField( model_name='order', name='p1_c', field=models.BooleanField(default=False), ), migrations.AddField( model_name='order', name='p2_c', field=models.BooleanField(default=False), ), migrations.AddField( model_name='order', name='p3_c', field=models.BooleanField(default=False), ), migrations.AddField( model_name='order', name='p4_c', field=models.BooleanField(default=False), ), migrations.AddField( model_name='order', name='p5_c', field=models.BooleanField(default=False), ), migrations.AddField( model_name='order', name='p6_c', field=models.BooleanField(default=False), ), migrations.AddField( model_name='order', name='p7_c', field=models.BooleanField(default=False), ), migrations.AddField( model_name='order', name='p8_c', field=models.BooleanField(default=False), ), ]

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88816d032b6c046d0ac87fe258ddcd5f2fd863ba

126

py

Python

__root__.py

mrandybu/envapi

a8dfe9911f40e6a46fca1100e49f539f821d7f20

[ "Apache-2.0" ]

null

__root__.py

mrandybu/envapi

a8dfe9911f40e6a46fca1100e49f539f821d7f20

[ "Apache-2.0" ]

null

__root__.py

mrandybu/envapi

a8dfe9911f40e6a46fca1100e49f539f821d7f20

[ "Apache-2.0" ]

null

import os def get_root_path(file): path_to_file = os.path.join(os.path.dirname(__file__), file) return path_to_file

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88b1156faa5fedeaaa072bee6b4e86ad2886f598

122

py

Python

enigma-torch/image/internal/_validate.py

heytanay/enigma-torch

0e595cd7adba84757aa1f448e8b3c72a09cb1fa2

[ "MIT" ]

1

2021-05-05T14:09:47.000Z

enigma-torch/image/internal/_validate.py

heytanay/enigma-torch

0e595cd7adba84757aa1f448e8b3c72a09cb1fa2

[ "MIT" ]

null

enigma-torch/image/internal/_validate.py

heytanay/enigma-torch

0e595cd7adba84757aa1f448e8b3c72a09cb1fa2

[ "MIT" ]

null

def _validRoutine(*args, **kwargs): """Main validation function for image classification / regression """ pass

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5

31f66b2e1411e45117f1de5e1d1b2050acf31a03

2,365

py

Python

helpers/vaishnadb.py

daniel-sjkdm/VaishnavismNotifyTBot

fafedb4d26f50d991cd679447c4ac78bef470c0a

[ "MIT" ]

null

helpers/vaishnadb.py

daniel-sjkdm/VaishnavismNotifyTBot

fafedb4d26f50d991cd679447c4ac78bef470c0a

[ "MIT" ]

null

helpers/vaishnadb.py

daniel-sjkdm/VaishnavismNotifyTBot

fafedb4d26f50d991cd679447c4ac78bef470c0a

[ "MIT" ]

null

import os import psycopg2 class VaishnaDB: dbname = os.getenv('PGDATABASE') host = os.getenv('PGHOST') user = os.getenv('PGUSER') password = os.getenv('PGPASSWORD') port = os.getenv('PGPORT') def get_db_connection(self): conn = psycopg2.connect( dbname=self.dbname, host=self.host, user=self.user, password=self.password, port=self.port ) if conn.status == 1: return conn else: raise Exception("Connection failed") def get_iskcon_events(self, data, fetch_by): with self.get_db_connection() as conn: with conn.cursor() as cursor: if fetch_by == "year": cursor.execute("SELECT * FROM iskcon_event WHERE event_date::TEXT LIKE %(year)s", {"year": f"{data}%"}) return cursor.fetchall() elif fetch_by == "month": cursor.execute("SELECT * FROM iskcon_event WHERE event_date::TEXT LIKE %(month)s", {"month": f"%-{data}-%"}) return cursor.fetchall() else: cursor.execute("SELECT * FROM iskcon_event WHERE event_date::TEXT LIKE %(yearmonth)s", {"yearmonth": f"{data[0]}-{data[1]}-%"}) return cursor.fetchall() def get_ekadasi_events(self, data, fetch_by): with self.get_db_connection() as conn: with conn.cursor() as cursor: if fetch_by == "year": cursor.execute("""SELECT * FROM ekadasi_date JOIN ekadasi ON ekadasi_date.ekadasi_id=ekadasi.id WHERE event_date::TEXT LIKE %(year)s""", {"year": f"{data}%"}) return cursor.fetchall() elif fetch_by == "month": cursor.execute("""SELECT * FROM ekadasi_date JOIN ekadasi ON ekadasi.id=ekadasi_date.ekadasi_id WHERE event_date::TEXT LIKE %(month)s""", {"month": f"%-{data}-%"}) return cursor.fetchall() else: cursor.execute("""SELECT * FROM ekadasi_date JOIN ekadasi ON ekadasi.id=ekadasi_date.ekadasi_id WHERE event_date::TEXT LIKE %(yearmonth)s""", {"yearmonth": f"{data[0]}-{data[1]}-%"}) return cursor.fetchall()

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null

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1

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null

0

5

ee69d54163b11f748208baae935fd4b64aff7423

15,447

py

Python

randomgen/tests/test_direct.py

bduvenhage/randomgen

a507df296561d2d94b1ac4a12e9a3d44e10cb489

[ "NCSA" ]

null

randomgen/tests/test_direct.py

bduvenhage/randomgen

a507df296561d2d94b1ac4a12e9a3d44e10cb489

[ "NCSA" ]

null

randomgen/tests/test_direct.py

bduvenhage/randomgen

a507df296561d2d94b1ac4a12e9a3d44e10cb489

[ "NCSA" ]

null

import os import sys from os.path import join import numpy as np from numpy.testing import assert_equal, assert_allclose, assert_array_equal, \ assert_raises import pytest from randomgen import RandomGenerator, MT19937, DSFMT, ThreeFry32, ThreeFry, \ PCG32, PCG64, Philox, Xoroshiro128, Xorshift1024, Xoshiro256StarStar, \ Xoshiro512StarStar if (sys.version_info > (3, 0)): long = int pwd = os.path.dirname(os.path.abspath(__file__)) def uniform32_from_uint64(x): x = np.uint64(x) upper = np.array(x >> np.uint64(32), dtype=np.uint32) lower = np.uint64(0xffffffff) lower = np.array(x & lower, dtype=np.uint32) joined = np.column_stack([lower, upper]).ravel() out = (joined >> np.uint32(9)) * (1.0 / 2 ** 23) return out.astype(np.float32) def uniform32_from_uint63(x): x = np.uint64(x) x = np.uint32(x >> np.uint64(32)) out = (x >> np.uint32(9)) * (1.0 / 2 ** 23) return out.astype(np.float32) def uniform32_from_uint53(x): x = np.uint64(x) >> np.uint64(16) x = np.uint32(x & np.uint64(0xffffffff)) out = (x >> np.uint32(9)) * (1.0 / 2 ** 23) return out.astype(np.float32) def uniform32_from_uint32(x): return (x >> np.uint32(9)) * (1.0 / 2 ** 23) def uniform32_from_uint(x, bits): if bits == 64: return uniform32_from_uint64(x) elif bits == 63: return uniform32_from_uint63(x) elif bits == 53: return uniform32_from_uint53(x) elif bits == 32: return uniform32_from_uint32(x) else: raise NotImplementedError def uniform_from_uint(x, bits): if bits in (64, 63, 53): return uniform_from_uint64(x) elif bits == 32: return uniform_from_uint32(x) def uniform_from_uint64(x): return (x >> np.uint64(11)) * (1.0 / 9007199254740992.0) def uniform_from_uint32(x): out = np.empty(len(x) // 2) for i in range(0, len(x), 2): a = x[i] >> 5 b = x[i + 1] >> 6 out[i // 2] = (a * 67108864.0 + b) / 9007199254740992.0 return out def uint64_from_uint63(x): out = np.empty(len(x) // 2, dtype=np.uint64) for i in range(0, len(x), 2): a = x[i] & np.uint64(0xffffffff00000000) b = x[i + 1] >> np.uint64(32) out[i // 2] = a | b return out def uniform_from_dsfmt(x): return x.view(np.double) - 1.0 def gauss_from_uint(x, n, bits): if bits in (64, 63): doubles = uniform_from_uint64(x) elif bits == 32: doubles = uniform_from_uint32(x) elif bits == 'dsfmt': doubles = uniform_from_dsfmt(x) gauss = [] loc = 0 x1 = x2 = 0.0 while len(gauss) < n: r2 = 2 while r2 >= 1.0 or r2 == 0.0: x1 = 2.0 * doubles[loc] - 1.0 x2 = 2.0 * doubles[loc + 1] - 1.0 r2 = x1 * x1 + x2 * x2 loc += 2 f = np.sqrt(-2.0 * np.log(r2) / r2) gauss.append(f * x2) gauss.append(f * x1) return gauss[:n] class Base(object): dtype = np.uint64 data2 = data1 = {} @classmethod def setup_class(cls): cls.brng = Xoroshiro128 cls.bits = 64 cls.dtype = np.uint64 cls.seed_error_type = TypeError @classmethod def _read_csv(cls, filename): with open(filename) as csv: seed = csv.readline() seed = seed.split(',') seed = [long(s.strip(), 0) for s in seed[1:]] data = [] for line in csv: data.append(long(line.split(',')[-1].strip(), 0)) return {'seed': seed, 'data': np.array(data, dtype=cls.dtype)} def test_raw(self): rs = RandomGenerator(self.brng(*self.data1['seed'])) uints = rs.random_raw(1000) assert_equal(uints, self.data1['data']) rs = RandomGenerator(self.brng(*self.data2['seed'])) uints = rs.random_raw(1000) assert_equal(uints, self.data2['data']) @pytest.mark.skip(reason='Polar transform no longer supported') def test_gauss_inv(self): n = 25 rs = RandomGenerator(self.brng(*self.data1['seed'])) gauss = rs.standard_normal(n) assert_allclose(gauss, gauss_from_uint(self.data1['data'], n, self.bits)) rs = RandomGenerator(self.brng(*self.data2['seed'])) gauss = rs.standard_normal(25) assert_allclose(gauss, gauss_from_uint(self.data2['data'], n, self.bits)) def test_uniform_double(self): rs = RandomGenerator(self.brng(*self.data1['seed'])) vals = uniform_from_uint(self.data1['data'], self.bits) uniforms = rs.random_sample(len(vals)) assert_allclose(uniforms, vals) assert_equal(uniforms.dtype, np.float64) rs = RandomGenerator(self.brng(*self.data2['seed'])) vals = uniform_from_uint(self.data2['data'], self.bits) uniforms = rs.random_sample(len(vals)) assert_allclose(uniforms, vals) assert_equal(uniforms.dtype, np.float64) def test_uniform_float(self): rs = RandomGenerator(self.brng(*self.data1['seed'])) vals = uniform32_from_uint(self.data1['data'], self.bits) uniforms = rs.random_sample(len(vals), dtype=np.float32) assert_allclose(uniforms, vals) assert_equal(uniforms.dtype, np.float32) rs = RandomGenerator(self.brng(*self.data2['seed'])) vals = uniform32_from_uint(self.data2['data'], self.bits) uniforms = rs.random_sample(len(vals), dtype=np.float32) assert_allclose(uniforms, vals) assert_equal(uniforms.dtype, np.float32) def test_seed_float(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(self.seed_error_type, rs.seed, np.pi) assert_raises(self.seed_error_type, rs.seed, -np.pi) def test_seed_float_array(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(self.seed_error_type, rs.seed, np.array([np.pi])) assert_raises(self.seed_error_type, rs.seed, np.array([-np.pi])) assert_raises(ValueError, rs.seed, np.array([np.pi, -np.pi])) assert_raises(TypeError, rs.seed, np.array([0, np.pi])) assert_raises(TypeError, rs.seed, [np.pi]) assert_raises(TypeError, rs.seed, [0, np.pi]) def test_seed_out_of_range(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(ValueError, rs.seed, 2 ** (2 * self.bits + 1)) assert_raises(ValueError, rs.seed, -1) def test_seed_out_of_range_array(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(ValueError, rs.seed, [2 ** (2 * self.bits + 1)]) assert_raises(ValueError, rs.seed, [-1]) class TestXoroshiro128(Base): @classmethod def setup_class(cls): cls.brng = Xoroshiro128 cls.bits = 64 cls.dtype = np.uint64 cls.data1 = cls._read_csv( join(pwd, './data/xoroshiro128-testset-1.csv')) cls.data2 = cls._read_csv( join(pwd, './data/xoroshiro128-testset-2.csv')) cls.seed_error_type = TypeError class TestXoshiro256StarStar(Base): @classmethod def setup_class(cls): cls.brng = Xoshiro256StarStar cls.bits = 64 cls.dtype = np.uint64 cls.data1 = cls._read_csv( join(pwd, './data/xoshiro256starstar-testset-1.csv')) cls.data2 = cls._read_csv( join(pwd, './data/xoshiro256starstar-testset-2.csv')) cls.seed_error_type = TypeError class TestXoshiro512StarStar(Base): @classmethod def setup_class(cls): cls.brng = Xoshiro512StarStar cls.bits = 64 cls.dtype = np.uint64 cls.data1 = cls._read_csv( join(pwd, './data/xoshiro512starstar-testset-1.csv')) cls.data2 = cls._read_csv( join(pwd, './data/xoshiro512starstar-testset-2.csv')) cls.seed_error_type = TypeError class TestXorshift1024(Base): @classmethod def setup_class(cls): cls.brng = Xorshift1024 cls.bits = 64 cls.dtype = np.uint64 cls.data1 = cls._read_csv( join(pwd, './data/xorshift1024-testset-1.csv')) cls.data2 = cls._read_csv( join(pwd, './data/xorshift1024-testset-2.csv')) cls.seed_error_type = TypeError class TestThreeFry(Base): @classmethod def setup_class(cls): cls.brng = ThreeFry cls.bits = 64 cls.dtype = np.uint64 cls.data1 = cls._read_csv( join(pwd, './data/threefry-testset-1.csv')) cls.data2 = cls._read_csv( join(pwd, './data/threefry-testset-2.csv')) cls.seed_error_type = TypeError class TestPCG64(Base): @classmethod def setup_class(cls): cls.brng = PCG64 cls.bits = 64 cls.dtype = np.uint64 cls.data1 = cls._read_csv(join(pwd, './data/pcg64-testset-1.csv')) cls.data2 = cls._read_csv(join(pwd, './data/pcg64-testset-2.csv')) cls.seed_error_type = TypeError def test_seed_float_array(self): rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(self.seed_error_type, rs.seed, np.array([np.pi])) assert_raises(self.seed_error_type, rs.seed, np.array([-np.pi])) assert_raises(self.seed_error_type, rs.seed, np.array([np.pi, -np.pi])) assert_raises(self.seed_error_type, rs.seed, np.array([0, np.pi])) assert_raises(self.seed_error_type, rs.seed, [np.pi]) assert_raises(self.seed_error_type, rs.seed, [0, np.pi]) def test_seed_out_of_range_array(self): rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(self.seed_error_type, rs.seed, [2 ** (2 * self.bits + 1)]) assert_raises(self.seed_error_type, rs.seed, [-1]) class TestPhilox(Base): @classmethod def setup_class(cls): cls.brng = Philox cls.bits = 64 cls.dtype = np.uint64 cls.data1 = cls._read_csv( join(pwd, './data/philox-testset-1.csv')) cls.data2 = cls._read_csv( join(pwd, './data/philox-testset-2.csv')) cls.seed_error_type = TypeError class TestMT19937(Base): @classmethod def setup_class(cls): cls.brng = MT19937 cls.bits = 32 cls.dtype = np.uint32 cls.data1 = cls._read_csv(join(pwd, './data/mt19937-testset-1.csv')) cls.data2 = cls._read_csv(join(pwd, './data/mt19937-testset-2.csv')) cls.seed_error_type = ValueError def test_seed_out_of_range(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(ValueError, rs.seed, 2 ** (self.bits + 1)) assert_raises(ValueError, rs.seed, -1) assert_raises(ValueError, rs.seed, 2 ** (2 * self.bits + 1)) def test_seed_out_of_range_array(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(ValueError, rs.seed, [2 ** (self.bits + 1)]) assert_raises(ValueError, rs.seed, [-1]) assert_raises(TypeError, rs.seed, [2 ** (2 * self.bits + 1)]) def test_seed_float(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(TypeError, rs.seed, np.pi) assert_raises(TypeError, rs.seed, -np.pi) def test_seed_float_array(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(TypeError, rs.seed, np.array([np.pi])) assert_raises(TypeError, rs.seed, np.array([-np.pi])) assert_raises(TypeError, rs.seed, np.array([np.pi, -np.pi])) assert_raises(TypeError, rs.seed, np.array([0, np.pi])) assert_raises(TypeError, rs.seed, [np.pi]) assert_raises(TypeError, rs.seed, [0, np.pi]) class TestDSFMT(Base): @classmethod def setup_class(cls): cls.brng = DSFMT cls.bits = 53 cls.dtype = np.uint64 cls.data1 = cls._read_csv(join(pwd, './data/dSFMT-testset-1.csv')) cls.data2 = cls._read_csv(join(pwd, './data/dSFMT-testset-2.csv')) cls.seed_error_type = TypeError def test_uniform_double(self): rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_array_equal(uniform_from_dsfmt(self.data1['data']), rs.random_sample(1000)) rs = RandomGenerator(self.brng(*self.data2['seed'])) assert_equal(uniform_from_dsfmt(self.data2['data']), rs.random_sample(1000)) @pytest.mark.skip(reason='Polar transform no longer supported') def test_gauss_inv(self): n = 25 rs = RandomGenerator(self.brng(*self.data1['seed'])) gauss = rs.standard_normal(n) assert_allclose(gauss, gauss_from_uint(self.data1['data'], n, 'dsfmt')) rs = RandomGenerator(self.brng(*self.data2['seed'])) gauss = rs.standard_normal(25) assert_allclose(gauss, gauss_from_uint(self.data2['data'], n, 'dsfmt')) def test_seed_out_of_range_array(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(ValueError, rs.seed, [2 ** (self.bits + 1)]) assert_raises(ValueError, rs.seed, [-1]) assert_raises(TypeError, rs.seed, [2 ** (2 * self.bits + 1)]) def test_seed_float(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(TypeError, rs.seed, np.pi) assert_raises(TypeError, rs.seed, -np.pi) def test_seed_float_array(self): # GH #82 rs = RandomGenerator(self.brng(*self.data1['seed'])) assert_raises(TypeError, rs.seed, np.array([np.pi])) assert_raises(TypeError, rs.seed, np.array([-np.pi])) assert_raises(TypeError, rs.seed, np.array([np.pi, -np.pi])) assert_raises(TypeError, rs.seed, np.array([0, np.pi])) assert_raises(TypeError, rs.seed, [np.pi]) assert_raises(TypeError, rs.seed, [0, np.pi]) def test_uniform_float(self): rs = RandomGenerator(self.brng(*self.data1['seed'])) vals = uniform32_from_uint(self.data1['data'], self.bits) uniforms = rs.random_sample(len(vals), dtype=np.float32) assert_allclose(uniforms, vals) assert_equal(uniforms.dtype, np.float32) rs = RandomGenerator(self.brng(*self.data2['seed'])) vals = uniform32_from_uint(self.data2['data'], self.bits) uniforms = rs.random_sample(len(vals), dtype=np.float32) assert_allclose(uniforms, vals) assert_equal(uniforms.dtype, np.float32) class TestThreeFry32(Base): @classmethod def setup_class(cls): cls.brng = ThreeFry32 cls.bits = 32 cls.dtype = np.uint32 cls.data1 = cls._read_csv(join(pwd, './data/threefry32-testset-1.csv')) cls.data2 = cls._read_csv(join(pwd, './data/threefry32-testset-2.csv')) cls.seed_error_type = TypeError class TestPCG32(TestPCG64): @classmethod def setup_class(cls): cls.brng = PCG32 cls.bits = 32 cls.dtype = np.uint32 cls.data1 = cls._read_csv(join(pwd, './data/pcg32-testset-1.csv')) cls.data2 = cls._read_csv(join(pwd, './data/pcg32-testset-2.csv')) cls.seed_error_type = TypeError

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5

ee7cb17beb533ff6985cccb401daff810d6ea1c9

136

py

Python

markdown/home.md.py

gnumber13/fastapi_webpage

1d993a5e08ba3243c3c472b402234d42cec7f5e5

[ "Apache-2.0" ]

null

markdown/home.md.py

gnumber13/fastapi_webpage

1d993a5e08ba3243c3c472b402234d42cec7f5e5

[ "Apache-2.0" ]

null

markdown/home.md.py

gnumber13/fastapi_webpage

1d993a5e08ba3243c3c472b402234d42cec7f5e5

[ "Apache-2.0" ]

null

# Home ## HTML <img src="static/assets/venicequeen.svg"> ## MD ![](static/assets/venicequeen.svg) This **is** another paragraph.

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c9e40e85fb192d7a72f680c8abe0857e2d3aa49f

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py

Python

modelexp/experiments/__init__.py

DomiDre/modelexp

1ec25f71e739dac27716f9a8637fa6ab067499b9

[ "MIT" ]

null

modelexp/experiments/__init__.py

DomiDre/modelexp

1ec25f71e739dac27716f9a8637fa6ab067499b9

[ "MIT" ]

null

modelexp/experiments/__init__.py

DomiDre/modelexp

1ec25f71e739dac27716f9a8637fa6ab067499b9

[ "MIT" ]

null

from ._experiment import Experiment from ._generic import Generic from ._genericXy import GenericXy

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1

0

1

0

1

0

5

a012f3a6b138eeae95a9ffa3a372cd8b39d3c17f

141

py

Python

start.py

ammaraskar/Purdue-Laundry-API

cf57271082be9e073ff28e0fc96938b56e4e610e

[ "Apache-2.0" ]

2

2016-06-10T14:42:04.000Z

2017-07-10T10:43:32.000Z

start.py

ammaraskar/Purdue-Laundry-API

cf57271082be9e073ff28e0fc96938b56e4e610e

[ "Apache-2.0" ]

null

start.py

ammaraskar/Purdue-Laundry-API

cf57271082be9e073ff28e0fc96938b56e4e610e

[ "Apache-2.0" ]

null

from api_server import app app.run(debug=app.config.get('DEBUG'), port=app.config.get('PORT'), host=app.config.get('HOST'))

23.5

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0.64539

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141

4.090909

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0

0.170213

141

5

39

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0.092199

0

1

0

true

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0.25

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0.25

0

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null

1

0

1

0

null

0

1

0

5

4eaa022a6c814defca4d0f7602ee38b722e6d0e8

331

py

Python

strikethrough_identification/src/__init__.py

RaphaelaHeil/strikethrough-removal-cyclegans

91555b22cac6b6a379597aa94c23bdf02c9970a7

[ "MIT" ]

3

2021-08-30T12:37:14.000Z

2022-02-09T16:07:14.000Z

strikethrough_identification/src/__init__.py

ektavats/strikethrough-removal-cyclegans

35456619ff87fa010d2c161cff774af02142bae9

[ "MIT" ]

null

strikethrough_identification/src/__init__.py

ektavats/strikethrough-removal-cyclegans

35456619ff87fa010d2c161cff774af02142bae9

[ "MIT" ]

1

2022-01-25T10:30:54.000Z

from .configuration import ModelName, Configuration, getConfiguration from .dataset import CleanStruckDataset from .utils import PadToSize, composeTransformations, getModelByName __all__ = ["ModelName", "Configuration", "getConfiguration", "PadToSize", "composeTransformations", "getModelByName", "CleanStruckDataset"]

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null

0

1

0

1

0

null

0

1

0

5

4eb4c88aa0283f0e69c0994ac666442d425663d9

160

py

Python

hass_am43/version.py

jokke-ilujo/hass-am43-gw

9c8b1591798d0ae9a38c2dcb3da70d64b2122191

[ "Apache-2.0" ]

null

hass_am43/version.py

jokke-ilujo/hass-am43-gw

9c8b1591798d0ae9a38c2dcb3da70d64b2122191

[ "Apache-2.0" ]

null

hass_am43/version.py

jokke-ilujo/hass-am43-gw

9c8b1591798d0ae9a38c2dcb3da70d64b2122191

[ "Apache-2.0" ]

null

import pbr.version version_info = pbr.version.VersionInfo('hass_am43') version_string = version_info.version_string def version(): return version_string

17.777778

51

0.8

21

160

5.809524

0.47619

0.319672

0

0.014184

0.11875

160

8

52

20

0.851064

0

0.05625

0

1

0.2

false

0

0.2

0.6

0

1

0

null

1

0

1

0

null

0

1

0

5

4ec1f84e2b28528ecb8891e8428a9b17f63743f8

36

py

Python

edmunds/database/drivers/postgresql.py

LowieHuyghe/edmunds-python

236d087746cb8802a8854b2706b8d3ff009e9209

[ "Apache-2.0" ]

4

2017-09-07T13:39:50.000Z

2018-05-31T16:14:50.000Z

edmunds/database/drivers/postgresql.py

LowieHuyghe/edmunds-python

236d087746cb8802a8854b2706b8d3ff009e9209

[ "Apache-2.0" ]

103

2017-03-19T15:58:21.000Z

2018-07-11T20:36:17.000Z

edmunds/database/drivers/postgresql.py

LowieHuyghe/edmunds-python

236d087746cb8802a8854b2706b8d3ff009e9209

[ "Apache-2.0" ]

2

2017-10-14T15:20:11.000Z

2018-04-20T09:55:44.000Z

class PostgreSql(object): pass

9

25

0.694444

4

36

6.25

1

0

0.222222

36

3

26

12

0.892857

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

14e6481674c2519d1ec9754507e6766b41bfe6e2

195

py

Python

Het Toolkit/HetKit_BETA_June_2020/lib/rotation.py

michaelcolman/Sub_cellular_heterogeneity_TOOLKIT

24c90150429a39159e3ebed654d7ef43260a5aff

[ "CC0-1.0" ]

null

Het Toolkit/HetKit_BETA_June_2020/lib/rotation.py

michaelcolman/Sub_cellular_heterogeneity_TOOLKIT

24c90150429a39159e3ebed654d7ef43260a5aff

[ "CC0-1.0" ]

null

Het Toolkit/HetKit_BETA_June_2020/lib/rotation.py

michaelcolman/Sub_cellular_heterogeneity_TOOLKIT

24c90150429a39159e3ebed654d7ef43260a5aff

[ "CC0-1.0" ]

null

import numpy as np import imutils def rotate_data(data, angle): rotated_data = np.asarray(data, dtype = "uint8") rotated_data = imutils.rotate_bound(rotated_data, angle) return rotated_data

21.666667

57

0.779487

29

195

5.034483

0.517241

0.30137

0

0.005917

0.133333

195

8

58

24.375

0.857988

0

0.025641

0

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

14e77f50b742d519f1e176fa7a81ea42b22757bc

142

py

Python

Lower-case Characters.py

MrAnonymous5635/CSCircles

010ac82942c88da357e214ea5462ec378f3667b8

[ "MIT" ]

17

2018-09-19T09:44:33.000Z

2022-01-17T15:17:11.000Z

Lower-case Characters.py

MrAnonymous5635/CSCircles

010ac82942c88da357e214ea5462ec378f3667b8

[ "MIT" ]

2

2020-02-24T15:28:33.000Z

2021-11-16T00:04:52.000Z

Lower-case Characters.py

MrAnonymous5635/CSCircles

010ac82942c88da357e214ea5462ec378f3667b8

[ "MIT" ]

8

2020-02-20T00:02:06.000Z

2022-01-06T17:25:51.000Z

def lowerChar(char): if ord(char) >= ord('A') and ord(char) <= ord('Z'): return chr(ord(char) + 32) else: return char

23.666667

55

0.528169

21

142

3.571429

0.571429

0.28

0.266667

0

0.019802

0.288732

142

5

56

28.4

0.722772

0

0.014085

0

1

0.2

false

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

5

14f9ede0a644d896c1f2187412a0a98646c761ac

110

py

Python

src/math_bot/model/__init__.py

AlinGeorgescu/Math-Bot

bf9d2a9c373bd85574a11c11e33526c46723df01

[ "MIT" ]

3

2021-06-01T16:10:18.000Z

2021-08-06T00:37:14.000Z

src/math_bot/model/__init__.py

AlinGeorgescu/Math-Bot

bf9d2a9c373bd85574a11c11e33526c46723df01

[ "MIT" ]

null

src/math_bot/model/__init__.py

AlinGeorgescu/Math-Bot

bf9d2a9c373bd85574a11c11e33526c46723df01

[ "MIT" ]

null

import nltk nltk.download('punkt') nltk.download('stopwords') nltk.download('wordnet') from .model import *

13.75

26

0.745455

14

110

5.857143

0.571429

0.439024

0

0.1

110

7

27

15.714286

0.828283

0

0.190909

0

1

0

true

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

093d862aa157287f381222d1306d67a4011db17c

136

py

Python

MD5-Brute-Force/__init__.py

RGCTech-Dev/MD5-Brute-Force

23728b493eae2a0ed2e246631db4d3db4e473599

[ "MIT" ]

null

MD5-Brute-Force/__init__.py

RGCTech-Dev/MD5-Brute-Force

23728b493eae2a0ed2e246631db4d3db4e473599

[ "MIT" ]

null

MD5-Brute-Force/__init__.py

RGCTech-Dev/MD5-Brute-Force

23728b493eae2a0ed2e246631db4d3db4e473599

[ "MIT" ]

null

from package.Filename import Classname from MyLib.File1 import ClassA, ClassB, ClassC from MyLib.File2 import ClassX, ClassY, ClassZ

34

47

0.808824

19

136

5.789474

0.736842

0.163636

0

0.017094

0.139706

136

3

48

45.333333

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

118877d552c8458667371ee1873cf85eb72464b7

103

py

Python

Utilities/VTKPythonWrapping/paraview/vtk/io.py

utkarshayachit/ParaView

7bbb2aa16fdef9cfbcf4a3786cad905d6770771b

[ "BSD-3-Clause" ]

1

2021-07-31T19:38:03.000Z

Utilities/VTKPythonWrapping/paraview/vtk/io.py

utkarshayachit/ParaView

7bbb2aa16fdef9cfbcf4a3786cad905d6770771b

[ "BSD-3-Clause" ]

null

Utilities/VTKPythonWrapping/paraview/vtk/io.py

utkarshayachit/ParaView

7bbb2aa16fdef9cfbcf4a3786cad905d6770771b

[ "BSD-3-Clause" ]

2

2019-01-22T19:51:40.000Z

2021-07-31T19:38:05.000Z

import os if os.name == "posix": from libvtkIOPython import * else: from vtkIOPython import *

14.714286

32

0.679612

13

103

5.384615

0.692308

0

0.23301

103

6

33

17.166667

0.886076

0

0.048544

0

1

0

true

0

0.6

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

11b57a71c95826bf8bed4753948e8540cc72153a

37

py

Python

malware-detection-machine-learning-approach/log/start/dbcreate.py

KUDANDOU/HIT-400-CODE

f06382baa2d6250d127710069a615d99e47bb508

[ "MIT" ]

null

malware-detection-machine-learning-approach/log/start/dbcreate.py

KUDANDOU/HIT-400-CODE

f06382baa2d6250d127710069a615d99e47bb508

[ "MIT" ]

null

malware-detection-machine-learning-approach/log/start/dbcreate.py

KUDANDOU/HIT-400-CODE

f06382baa2d6250d127710069a615d99e47bb508

[ "MIT" ]

null

from app import db db.create_all()

7.4

18

0.72973

7

37

3.714286

0.857143

0

0.189189

37

5

19

7.4

0.866667

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

11faf0a060760acce682a62ea960c8b767027edc

151

py

Python

dried_ice/__init__.py

ThePaladinsForge/dry-ice-example

1d4c6e1805ecf9fa15c2e2e1e991665d55298b5d

[ "MIT" ]

null

dried_ice/__init__.py

ThePaladinsForge/dry-ice-example

1d4c6e1805ecf9fa15c2e2e1e991665d55298b5d

[ "MIT" ]

null

dried_ice/__init__.py

ThePaladinsForge/dry-ice-example

1d4c6e1805ecf9fa15c2e2e1e991665d55298b5d

[ "MIT" ]

null

# Generated by slice2py - DO NOT EDIT! # import Ice Ice.updateModule("dried_ice") # Modules: import DI_hello_world_ice # Submodules: import example

12.583333

38

0.761589

21

151

5.285714

0.761905

0

0.007813

0.152318

151

11

39

13.727273

0.859375

0.377483

0

1

0

0.101124

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

11ffe10c50857cd89bccca32274d488af57e3b16

115

py

Python

common/__init__.py

fengshukun/kcweb

313bce537818f0152a363101c91bf2eed50e9502

[ "MIT" ]

null

common/__init__.py

fengshukun/kcweb

313bce537818f0152a363101c91bf2eed50e9502

[ "MIT" ]

null

common/__init__.py

fengshukun/kcweb

313bce537818f0152a363101c91bf2eed50e9502

[ "MIT" ]

null

# -*- coding: utf-8 -*- from . autoload import * from . import globals from . import session from . import request

19.166667

24

0.686957

15

115

5.266667

0.6

0.379747

0

0.010753

0.191304

115

5

25

23

0.83871

0.182609

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

eeb4a0f5aea47474b12ac2e5c7e18c66b68ca907

179

py

Python

problems/odd-occuring-element/odd-occuring-element.py

vidyadeepa/the-coding-interview

90171b77b6884176a6c28bdccb5d45bd6929b489

[ "MIT" ]

1,571

2015-12-09T14:08:47.000Z

2022-03-30T21:34:36.000Z

problems/odd-occuring-element/odd-occuring-element.py

vidyadeepa/the-coding-interview

90171b77b6884176a6c28bdccb5d45bd6929b489

[ "MIT" ]

117

2015-10-22T05:59:19.000Z

2021-09-17T00:14:38.000Z

problems/odd-occuring-element/odd-occuring-element.py

vidyadeepa/the-coding-interview

90171b77b6884176a6c28bdccb5d45bd6929b489

[ "MIT" ]

452

2015-10-21T23:00:58.000Z

2022-03-18T21:16:50.000Z

def odd_occuring_element(l): result = 0 for i in l: result ^= i return result print odd_occuring_element([1,1,2,2,3]) print odd_occuring_element([1,2,1,2,2])

19.888889

39

0.653631

33

179

3.363636

0.454545

0.297297

0.486486

0.414414

0.432432

0

0.078571

0.217877

179

8

40

22.375

0.714286

0

null

0

null

0.285714

0

null

1

0

1

0

null

0

1

0

5

eec1a34939a6036f6bce0863039e76c09dbe252a

146

py

Python

docs_src/annotations/Pagination_tutorial.py

ta4tsering/openpecha-toolkit

ff24b4813fb8146a4327e746e4024890b6807bea

[ "Apache-2.0" ]

1

2020-01-28T05:10:14.000Z

docs_src/annotations/Pagination_tutorial.py

ta4tsering/openpecha-toolkit

ff24b4813fb8146a4327e746e4024890b6807bea

[ "Apache-2.0" ]

38

2019-11-12T10:49:25.000Z

2021-04-07T12:10:24.000Z

docs_src/annotations/Pagination_tutorial.py

OpenPecha/openpecha

73359686e2b3a703c6018aecbffe7adb4f485c88

[ "Apache-2.0" ]

6

2019-11-14T12:30:35.000Z

2020-05-12T01:50:13.000Z

from openpecha.core.annotations import Pagination, Span pagination = Pagination(span=Span(start=10, end=30)) assert pagination.span.start == 10

24.333333

55

0.787671

20

146

5.75

0.6

0.365217

0.191304

0

0.045802

0.10274

146

5

56

29.2

0.832061

0

0.333333

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

eed885dd64a8aa742cb60e550a633c14c087cf7c

57

py

Python

homework/HW3/HW3-final/P2B.py

TangJiahui/cs107_system_devlopment

c46d7769683d9be0c31973e3b0666e3fe2a4099b

[ "MIT" ]

null

homework/HW3/HW3-final/P2B.py

TangJiahui/cs107_system_devlopment

c46d7769683d9be0c31973e3b0666e3fe2a4099b

[ "MIT" ]

null

homework/HW3/HW3-final/P2B.py

TangJiahui/cs107_system_devlopment

c46d7769683d9be0c31973e3b0666e3fe2a4099b

[ "MIT" ]

1

2021-09-21T16:28:51.000Z

from Regression import Regression as reg print(dir(reg))

19

40

0.807018

9

57

5.111111

0.777778

0

0.122807

57

3

41

19

0.92

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

eedb2e24c39bca1712fa1916697a3d602baec343

119

py

Python

24. Exam Prep/exam_22aug/project/people/child.py

elenaborisova/Python-OOP

584882c08f84045b12322917f0716c7c7bd9befc

[ "MIT" ]

1

2021-03-27T16:56:30.000Z

24. Exam Prep/exam_22aug/project/people/child.py

elenaborisova/Python-OOP

584882c08f84045b12322917f0716c7c7bd9befc

[ "MIT" ]

null

24. Exam Prep/exam_22aug/project/people/child.py

elenaborisova/Python-OOP

584882c08f84045b12322917f0716c7c7bd9befc

[ "MIT" ]

1

2021-03-15T14:50:39.000Z

class Child: def __init__(self, food_cost: int, *toys_cost): self.cost = sum([*toys_cost, food_cost]) * 30

29.75

53

0.647059

18

119

3.833333

0.611111

0.231884

0

0.021277

0.210084

119

3

54

39.666667

0.712766

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

0103b0ff6ba0c52dc135aa20e1239ec84be83bfc

8,310

py

Python

frontend/web/grant_applications/tests/test_manual_company_details_view.py

uktrade/trade-access-program

8fb565e96de7d7bb0bde31255aef0f291063e93c

[ "MIT" ]

1

2021-03-04T15:24:12.000Z

frontend/web/grant_applications/tests/test_manual_company_details_view.py

uktrade/trade-access-program

8fb565e96de7d7bb0bde31255aef0f291063e93c

[ "MIT" ]

7

2020-08-24T13:27:02.000Z

2021-06-09T18:42:31.000Z

frontend/web/grant_applications/tests/test_manual_company_details_view.py

uktrade/trade-access-program

8fb565e96de7d7bb0bde31255aef0f291063e93c

[ "MIT" ]

1

2021-05-20T07:40:00.000Z

from unittest.mock import patch from django.urls import reverse from web.grant_applications.forms import ManualCompanyDetailsForm from web.grant_applications.services import BackofficeService from web.grant_applications.views import ManualCompanyDetailsView from web.tests.factories.grant_application_link import GrantApplicationLinkFactory from web.tests.helpers.backoffice_objects import FAKE_GRANT_APPLICATION, FAKE_COMPANY from web.tests.helpers.testcases import BaseTestCase @patch.object(BackofficeService, 'create_company', return_value=FAKE_COMPANY) @patch.object(BackofficeService, 'get_grant_application', return_value=FAKE_GRANT_APPLICATION) @patch.object(BackofficeService, 'update_grant_application', return_value=FAKE_GRANT_APPLICATION) class TestManualCompanyDetailsView(BaseTestCase): def setUp(self): super().setUp() self.gal = GrantApplicationLinkFactory() self.url = reverse('grant-applications:manual-company-details', args=(self.gal.pk,)) def test_get_template(self, *mocks): response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, ManualCompanyDetailsView.template_name) def test_post(self, *mocks): response = self.client.post( self.url, data={ 'manual_company_type': ManualCompanyDetailsForm.CompanyType.LIMITED_COMPANY, 'manual_company_name': 'A Name', 'manual_company_address_line_1': 'Line 1', 'manual_company_address_line_2': 'Line 2', 'manual_company_address_town': 'Town 1', 'manual_company_address_county': 'County 1', 'manual_company_address_postcode': 'ZZ1 8ZZ', 'manual_time_trading_in_uk': ManualCompanyDetailsForm.TimeTradingInUk.TWO_TO_FIVE_YEARS, 'manual_registration_number': '10000000', 'manual_vat_number': '123456789', 'manual_website': 'https://www.test.com' } ) self.assertRedirects( response=response, expected_url=reverse('grant-applications:company-details', args=(self.gal.pk,)) ) mocks[0].assert_called_once_with( grant_application_id=str(self.gal.backoffice_grant_application_id), manual_company_type=ManualCompanyDetailsForm.CompanyType.LIMITED_COMPANY.value, manual_company_name='A Name', manual_company_address_line_1='Line 1', manual_company_address_line_2='Line 2', manual_company_address_town='Town 1', manual_company_address_county='County 1', manual_company_address_postcode='ZZ1 8ZZ', manual_time_trading_in_uk=ManualCompanyDetailsForm.TimeTradingInUk.TWO_TO_FIVE_YEARS, manual_registration_number='10000000', manual_vat_number='123456789', manual_website='https://www.test.com', company=None ) def test_required_fields(self, *mocks): response = self.client.post(self.url) msg = self.form_msgs['required'] self.assertFormError(response, 'form', 'manual_company_type', msg) self.assertFormError(response, 'form', 'manual_company_name', msg) self.assertFormError(response, 'form', 'manual_company_address_line_1', msg) self.assertFormError(response, 'form', 'manual_company_address_town', msg) self.assertFormError(response, 'form', 'manual_company_address_county', msg) self.assertFormError(response, 'form', 'manual_company_address_postcode', msg) self.assertFormError(response, 'form', 'manual_time_trading_in_uk', msg) def test_optional_fields(self, *mocks): response = self.client.post( self.url, data={ 'manual_company_type': ManualCompanyDetailsForm.CompanyType.LIMITED_COMPANY, 'manual_company_name': 'A Name', 'manual_company_address_line_1': 'Line 1', 'manual_company_address_line_2': 'Line 2', 'manual_company_address_town': 'Town 1', 'manual_company_address_county': 'County 1', 'manual_company_address_postcode': 'ZZ1 8ZZ', 'manual_time_trading_in_uk': ManualCompanyDetailsForm.TimeTradingInUk.TWO_TO_FIVE_YEARS, } ) self.assertRedirects( response=response, expected_url=reverse('grant-applications:company-details', args=(self.gal.pk,)) ) mocks[0].assert_called_once_with( grant_application_id=str(self.gal.backoffice_grant_application_id), manual_company_type=ManualCompanyDetailsForm.CompanyType.LIMITED_COMPANY.value, manual_company_name='A Name', manual_company_address_line_1='Line 1', manual_company_address_line_2='Line 2', manual_company_address_town='Town 1', manual_company_address_county='County 1', manual_company_address_postcode='ZZ1 8ZZ', manual_time_trading_in_uk=ManualCompanyDetailsForm.TimeTradingInUk.TWO_TO_FIVE_YEARS, manual_registration_number=None, manual_vat_number=None, manual_website=None, company=None ) def test_get_redirects_to_confirmation_if_application_already_sent_for_review(self, *mocks): fake_grant_application = FAKE_GRANT_APPLICATION.copy() fake_grant_application['sent_for_review'] = True mocks[1].return_value = fake_grant_application response = self.client.get(self.url) self.assertRedirects( response, reverse('grant-applications:confirmation', args=(self.gal.pk,)) ) def test_get_redirects_to_ineligible_if_application_is_not_active(self, *mocks): fake_grant_application = FAKE_GRANT_APPLICATION.copy() fake_grant_application['is_eligible'] = False mocks[1].return_value = fake_grant_application response = self.client.get(self.url) self.assertRedirects(response, reverse('grant-applications:ineligible')) def test_post_redirects_to_ineligible_if_application_is_not_active(self, *mocks): fake_grant_application = FAKE_GRANT_APPLICATION.copy() fake_grant_application['is_eligible'] = False mocks[1].return_value = fake_grant_application response = self.client.post(self.url) self.assertRedirects(response, reverse('grant-applications:ineligible')) def test_get_does_not_redirect_to_ineligible_if_review_page_has_been_viewed(self, *mocks): fake_grant_application = FAKE_GRANT_APPLICATION.copy() fake_grant_application['is_eligible'] = False mocks[1].return_value = fake_grant_application self.gal.has_viewed_review_page = True self.gal.save() response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, ManualCompanyDetailsView.template_name) def test_post_redirects_to_review_page_if_application_review_page_has_been_viewed(self, *mocks): self.gal.has_viewed_review_page = True self.gal.save() response = self.client.post( self.url, data={ 'manual_company_type': ManualCompanyDetailsForm.CompanyType.LIMITED_COMPANY, 'manual_company_name': 'A Name', 'manual_company_address_line_1': 'Line 1', 'manual_company_address_line_2': 'Line 2', 'manual_company_address_town': 'Town 1', 'manual_company_address_county': 'County 1', 'manual_company_address_postcode': 'ZZ1 8ZZ', 'manual_time_trading_in_uk': ManualCompanyDetailsForm.TimeTradingInUk.TWO_TO_FIVE_YEARS, 'manual_registration_number': '10000000', 'manual_vat_number': '123456789', 'manual_website': 'https://www.test.com' } ) self.assertRedirects( response, reverse('grant-applications:application-review', args=(self.gal.pk,)), fetch_redirect_response=False )

48.313953

100

0.679422

895

8,310

5.929609

0.146369

0.102883

0.10929

0.059356

0.807236

0.794988

0.771246

0.725645

0.684944

0.675523

0

0.016265

0.230566

8,310

171

101

48.596491

0.813732

0

0.63871

0

0.192659

0.118291

0

0.122581

1

0.064516

false

0

0.051613

0

0.122581

0

null

0

1

0

1

0

null

0

5

0151f458fefc93ec08f165c4606fc091aea12d4d

118

py

Python

color.py

hiteshbedre/newx

32b068bff2d921e6ca3ef19a1f468a94f15cfbea

[ "MIT" ]

10

2020-07-16T06:27:48.000Z

2022-03-19T08:52:10.000Z

color.py

hiteshbedre/newx

32b068bff2d921e6ca3ef19a1f468a94f15cfbea

[ "MIT" ]

null

color.py

hiteshbedre/newx

32b068bff2d921e6ca3ef19a1f468a94f15cfbea

[ "MIT" ]

5

2020-10-03T17:42:28.000Z

2022-02-11T00:50:41.000Z

class Color: GAME_COLOR = (230, 230, 230) WHITE = (255, 255, 255) RED = (255, 0, 0) BLACK = (0, 0, 0)

19.666667

32

0.5

19

118

3.052632

0.473684

0.103448

0

0.325

0.322034

118

5

33

23.6

0.4

0

1

0

false

0

1

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

01587c60603fdc928e0727f137e136221759e466

87

py

Python

public/admin.py

vleclerc/raspibar

e7d089b74f0e6f1490cb2faacf5c9f79f51bbdc3

[ "MIT" ]

null

public/admin.py

vleclerc/raspibar

e7d089b74f0e6f1490cb2faacf5c9f79f51bbdc3

[ "MIT" ]

1

2021-10-06T20:38:38.000Z

public/admin.py

vleclerc/raspibar

e7d089b74f0e6f1490cb2faacf5c9f79f51bbdc3

[ "MIT" ]

1

2019-12-28T19:13:22.000Z

#!/usr/bin/python import sys, time, ntpath import RPi.GPIO as GPIO GPIO.readall();

10.875

24

0.701149

14

87

4.357143

0.785714

0

0.16092

87

7

25

12.428571

0.835616

0.183908

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

017f99ad9bdf452abc2bb6fbaf20dfe313593883

179

py

Python

Programming Fundamentals/Lists Basix/strange_zoo.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

Programming Fundamentals/Lists Basix/strange_zoo.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

Programming Fundamentals/Lists Basix/strange_zoo.py

antonarnaudov/SoftUniProjects

01cbdce2b350b57240045d1bc3e21d34f9d0351d

[ "MIT" ]

null

tail = input() body = input() head = input() strange_animal = [tail, body, head] strange_animal[0], strange_animal[2] = strange_animal[2], strange_animal[0] print(strange_animal)

25.571429

75

0.73743

26

179

4.846154

0.346154

0.619048

0.222222

0.333333

0.325397

0

0.025157

0.111732

179

6

76

29.833333

0.767296

0

1

0

false

0

0.166667

1

0

null

1

0

1

0

null

0

5

6d84a171bc3afc0be9bb8fb1a18db52a07823a57

285

py

Python

robovat/policies/__init__.py

JosepLeder/CLKRobovat

a5a742ded2cf67aec3d58affda7a4f7b80182c85

[ "MIT" ]

1

2021-04-07T07:45:24.000Z

robovat/policies/__init__.py

JosepLeder/CLKRobovat

a5a742ded2cf67aec3d58affda7a4f7b80182c85

[ "MIT" ]

null

robovat/policies/__init__.py

JosepLeder/CLKRobovat

a5a742ded2cf67aec3d58affda7a4f7b80182c85

[ "MIT" ]

null

from .policy import Policy from .random_policy import RandomPolicy from .grasp_policy import AntipodalGrasp4DofPolicy from .push_policy import HeuristicPushPolicy from .pick_and_place_policy import RepeatedRandomGraspPolicy from .cnn_grasp_policy.cnn_grasp_policy import CNNGraspPolicy

47.5

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0.894737

35

285

7

0.428571

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0.138776

0

0.003817

0.080702

285

6

61

47.5

0.931298

0

1

0

true

0

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1

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null

1

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1

0

null

0

1

0

1

0

1

0

5

6dc6c51f7c4da4e4b216679b2cc4351b57c7ef41

178

py

Python

tests/test_0905.py

msztylko/2020ify-leetcoding

4d3a9154bd0e516c09cb8564f451b4ba9632e404

[ "MIT" ]

null

tests/test_0905.py

msztylko/2020ify-leetcoding

4d3a9154bd0e516c09cb8564f451b4ba9632e404

[ "MIT" ]

null

tests/test_0905.py

msztylko/2020ify-leetcoding

4d3a9154bd0e516c09cb8564f451b4ba9632e404

[ "MIT" ]

null

import ctypes import pytest c_lib = ctypes.CDLL('../solutions/0905-sort-parity/sort-parity.so') @pytest.mark.skip(reason="Segmentation Fault") def test_sort_parity(): pass

19.777778

67

0.752809

26

178

5.038462

0.730769

0.229008

0

0.025

0.101124

178

8

68

22.25

0.79375

0

0.348315

0.247191

0

1

0.166667

false

0.166667

0.333333

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

6dc75a51c38c69bd9a8a48b74a42a61b76d4cc71

6,946

py

Python

model.py

foamliu/Image-Impainting

718682220d53489df80b413c2047ea06e5b17924

[ "Apache-2.0" ]

1

2021-04-04T17:56:11.000Z

model.py

foamliu/Image-Impainting

718682220d53489df80b413c2047ea06e5b17924

[ "Apache-2.0" ]

null

model.py

foamliu/Image-Impainting

718682220d53489df80b413c2047ea06e5b17924

[ "Apache-2.0" ]

null

import keras.backend as K from keras.layers import Input, ZeroPadding2D, Conv2D, UpSampling2D, BatchNormalization, MaxPooling2D, Reshape, \ Concatenate from keras.models import Model from keras.utils import plot_model from config import img_rows, img_cols, channel, kernel from custom_layers.unpooling_layer import Unpooling from utils import ensure_folder def ensure_vgg_weights(): import os if not os.path.isfile('models/vgg19_notop.h5'): ensure_folder('models') import urllib.request urllib.request.urlretrieve( "https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5", filename="models/vgg19_notop.h5") def build_model(): # Encoder img_input = Input(shape=(img_rows, img_cols, channel)) x = ZeroPadding2D((1, 1))(img_input) x = Conv2D(64, (3, 3), activation='relu', name='block1_conv1')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(64, (3, 3), activation='relu', name='block1_conv2')(x) orig_1 = x x = MaxPooling2D((2, 2), strides=(2, 2))(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(128, (3, 3), activation='relu', name='block2_conv1')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(128, (3, 3), activation='relu', name='block2_conv2')(x) orig_2 = x x = MaxPooling2D((2, 2), strides=(2, 2))(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(256, (3, 3), activation='relu', name='block3_conv1')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(256, (3, 3), activation='relu', name='block3_conv2')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(256, (3, 3), activation='relu', name='block3_conv3')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(256, (3, 3), activation='relu', name='block3_conv4')(x) orig_3 = x x = MaxPooling2D((2, 2), strides=(2, 2))(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(512, (3, 3), activation='relu', name='block4_conv1')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(512, (3, 3), activation='relu', name='block4_conv2')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(512, (3, 3), activation='relu', name='block4_conv3')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(512, (3, 3), activation='relu', name='block4_conv4')(x) orig_4 = x x = MaxPooling2D((2, 2), strides=(2, 2))(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(512, (3, 3), activation='relu', name='block5_conv1')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(512, (3, 3), activation='relu', name='block5_conv2')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(512, (3, 3), activation='relu', name='block5_conv3')(x) x = ZeroPadding2D((1, 1))(x) x = Conv2D(512, (3, 3), activation='relu', name='block5_conv4')(x) orig_5 = x x = MaxPooling2D((2, 2), strides=(2, 2))(x) # Decoder x = UpSampling2D(size=(2, 2))(x) the_shape = K.int_shape(orig_5) shape = (1, the_shape[1], the_shape[2], the_shape[3]) origReshaped = Reshape(shape)(orig_5) xReshaped = Reshape(shape)(x) together = Concatenate(axis=1)([origReshaped, xReshaped]) x = Unpooling()(together) x = Conv2D(512, (kernel, kernel), activation='relu', padding='same', name='deconv5_1', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(512, (kernel, kernel), activation='relu', padding='same', name='deconv5_2', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(512, (kernel, kernel), activation='relu', padding='same', name='deconv5_3', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(512, (kernel, kernel), activation='relu', padding='same', name='deconv5_4', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = UpSampling2D(size=(2, 2))(x) the_shape = K.int_shape(orig_4) shape = (1, the_shape[1], the_shape[2], the_shape[3]) origReshaped = Reshape(shape)(orig_4) xReshaped = Reshape(shape)(x) together = Concatenate(axis=1)([origReshaped, xReshaped]) x = Unpooling()(together) x = Conv2D(512, (kernel, kernel), activation='relu', padding='same', name='deconv4_1', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(512, (kernel, kernel), activation='relu', padding='same', name='deconv4_2', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(256, (kernel, kernel), activation='relu', padding='same', name='deconv4_3', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(256, (kernel, kernel), activation='relu', padding='same', name='deconv4_4', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = UpSampling2D(size=(2, 2))(x) the_shape = K.int_shape(orig_3) shape = (1, the_shape[1], the_shape[2], the_shape[3]) origReshaped = Reshape(shape)(orig_3) xReshaped = Reshape(shape)(x) together = Concatenate(axis=1)([origReshaped, xReshaped]) x = Unpooling()(together) x = Conv2D(256, (kernel, kernel), activation='relu', padding='same', name='deconv3_1', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(256, (kernel, kernel), activation='relu', padding='same', name='deconv3_2', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(128, (kernel, kernel), activation='relu', padding='same', name='deconv3_3', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(128, (kernel, kernel), activation='relu', padding='same', name='deconv3_4', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = UpSampling2D(size=(2, 2))(x) the_shape = K.int_shape(orig_2) shape = (1, the_shape[1], the_shape[2], the_shape[3]) origReshaped = Reshape(shape)(orig_2) xReshaped = Reshape(shape)(x) together = Concatenate(axis=1)([origReshaped, xReshaped]) x = Unpooling()(together) x = Conv2D(128, (kernel, kernel), activation='relu', padding='same', name='deconv2_1', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(64, (kernel, kernel), activation='relu', padding='same', name='deconv2_2', kernel_initializer='he_uniform')(x) x = BatchNormalization()(x) x = Conv2D(3, (1, 1), padding='same', name='pred', activation='sigmoid', kernel_initializer='he_uniform')(x) outputs = x model = Model(inputs=img_input, outputs=outputs) ensure_vgg_weights() model.load_weights('models/vgg19_notop.h5', by_name=True) return model if __name__ == '__main__': model = build_model() print(model.summary()) plot_model(model, to_file='model.svg', show_layer_names=True, show_shapes=True) K.clear_session()

42.876543

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0.632882

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4.540512

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0.029584

0.048838

0.060108

0.781874

0.765673

0.752759

0.720122

0

0.062055

0.190325

6,946

161

137

43.142857

0.695235

0.00216

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0.48227

0

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0.125

0.009094

0

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false

0

0.06383

0

0.085106

0.007092

0

null

0

1

0

null

0

5

6dd3dee32ff0f6c837d7f1780208c26b82062501

61

py

Python

library_author/wizard/__init__.py

odooerpdevelopers/odoo12-course

839e688043f24957eaf424ac5981dcfca649c9f4

[ "MIT" ]

null

library_author/wizard/__init__.py

odooerpdevelopers/odoo12-course

839e688043f24957eaf424ac5981dcfca649c9f4

[ "MIT" ]

null

library_author/wizard/__init__.py

odooerpdevelopers/odoo12-course

839e688043f24957eaf424ac5981dcfca649c9f4

[ "MIT" ]

null

# -*- coding: utf-8 -*- from . import assign_author_wizard

12.2

34

0.655738

8

61

4.75

1

0

0.02

0.180328

61

4

35

15.25

0.74

0.344262

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6dd8fdd00c935c354676d07f1cdecd9de01d78cd

77

py

Python

src/bard/tests/layers/test_learning.py

tykangler/music_generator

52bb9968f572b583177534d37e80ec3952144d74

[ "MIT" ]

null

src/bard/tests/layers/test_learning.py

tykangler/music_generator

52bb9968f572b583177534d37e80ec3952144d74

[ "MIT" ]

null

src/bard/tests/layers/test_learning.py

tykangler/music_generator

52bb9968f572b583177534d37e80ec3952144d74

[ "MIT" ]

null

import tensorflow as tf import numpy as np from bard.layers import learning

15.4

32

0.818182

13

77

4.846154

0.769231

0

0.168831

77

4

33

19.25

0.984375

0

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true

0

1

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

6de16db059bfb9dc3b830576697dd281be47cca9

141

py

Python

avicena/app/__init__.py

ribsthakkar/RiderPickup

e4eaf69d905631034949b18433bc70e4a08f0e58

[ "MIT" ]

2

2020-04-21T02:43:23.000Z

2020-04-21T02:44:44.000Z

avicena/app/__init__.py

ribsthakkar/RiderPickup

e4eaf69d905631034949b18433bc70e4a08f0e58

[ "MIT" ]

1

2020-04-21T02:41:11.000Z

avicena/app/__init__.py

ribsthakkar/RiderPickup

e4eaf69d905631034949b18433bc70e4a08f0e58

[ "MIT" ]

null

APP_CONFIG_FILE = 'config/app_config.yaml' OPTIMIZER_CONFIG_FILE = 'config/optimizer_config.yaml' LOG_CONFIG_FILE = 'config/log_config.yaml'

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1

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0

5

6decc42aba1c31a8cf5dbc0028f95703a76a36ae

276

py

Python

mtools/mlogfilter/filters/__init__.py

karlvr/mtools

a6a22910c3569c0c8a3908660ca218a4557e4249

[ "Apache-2.0" ]

1

2019-09-02T07:50:11.000Z

mtools/mlogfilter/filters/__init__.py

wozhangkun/mtools

e2e81c4dc31a3f18e7ca5fc39445aa0e7b0e3353

[ "Apache-2.0" ]

1

2019-07-09T15:25:10.000Z

mtools/mlogfilter/filters/__init__.py

wozhangkun/mtools

e2e81c4dc31a3f18e7ca5fc39445aa0e7b0e3353

[ "Apache-2.0" ]

1

2019-06-24T09:59:07.000Z

from .datetime_filter import DateTimeFilter from .fast_filter import FastFilter from .slow_filter import SlowFilter from .logline_filter import LogLineFilter from .tablescan_filter import TableScanFilter from .word_filter import WordFilter from .mask_filter import MaskFilter

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0

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1

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1

0

1

0

5

09c3404b952390226f55df34d2cc23b4bc7a34ce

95

py

Python

WEB_DIR/auth-server/test.py

EMZEDI/Mixerify

a97056a5c1931e2ea05cfeff153c83d4539a1ae1

[ "MIT" ]

1

2022-03-29T19:13:40.000Z

WEB_DIR/auth-server/test.py

EMZEDI/Mixerify

a97056a5c1931e2ea05cfeff153c83d4539a1ae1

[ "MIT" ]

null

WEB_DIR/auth-server/test.py

EMZEDI/Mixerify

a97056a5c1931e2ea05cfeff153c83d4539a1ae1

[ "MIT" ]

null

import sys import time time.sleep(3) print("first" + sys.argv[1]) print("second" + sys.argv[2])

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1

0

true

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1

0

1

0

null

0

1

0

1

0

5

61f96d335481996c334e1f5ae56fdbbc2a5fd8c1

329

py

Python

modules/tests/test_movie.py

anamayagarodia/JARVIS-on-Messenger

d7198db0afe99cf3c0f7aacd5d5a16641deba809

[ "MIT" ]

4

2019-12-07T12:46:47.000Z

2021-05-16T18:14:07.000Z

modules/tests/test_movie.py

anamayagarodia/JARVIS-on-Messenger

d7198db0afe99cf3c0f7aacd5d5a16641deba809

[ "MIT" ]

null

modules/tests/test_movie.py

anamayagarodia/JARVIS-on-Messenger

d7198db0afe99cf3c0f7aacd5d5a16641deba809

[ "MIT" ]

2

2018-08-06T06:03:58.000Z

2020-01-08T07:57:37.000Z

import modules def test_movie(): assert('movie' == modules.process_query('batman movie')[0]) assert('movie' == modules.process_query('iron man 2 movie plot')[0]) assert('movie' == modules.process_query('What is the rating of happyness movie?')[0]) assert('movie' != modules.process_query('something random')[0])

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0.017606

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7

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1

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1

0

null

0

1

0

1

0

5

111b181ce3eca2a490f0ab802b816de0ffac1bc8

57

py

Python

utils/__init__.py

WorqHat/Stanford-MRnet-Challenge

0a8a7438f55503307d5b6b0ddaaa3c50fa4d692b

[ "MIT" ]

1

2021-06-27T18:22:57.000Z

utils/__init__.py

WorqHat/Stanford-MRnet-Challenge

0a8a7438f55503307d5b6b0ddaaa3c50fa4d692b

[ "MIT" ]

null

utils/__init__.py

WorqHat/Stanford-MRnet-Challenge

0a8a7438f55503307d5b6b0ddaaa3c50fa4d692b

[ "MIT" ]

2

2020-05-28T07:30:39.000Z

2021-06-27T18:22:59.000Z

from .utils import _train_model, _evaluate_model, _get_lr

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0.859649

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57

4.777778

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0.087719

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1

57

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1

0

1

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1

0

null

0

1

0

1

0

1

0

5

112384c9f39870ef1463c1ddbb8534cf6cc82e3e

157

py

Python

artblog/apps/blog/managers.py

Kalenai/artblog-project

60bde90c99fb68910cbbfbc26b761638b9babf31

[ "MIT" ]

null

artblog/apps/blog/managers.py

Kalenai/artblog-project

60bde90c99fb68910cbbfbc26b761638b9babf31

[ "MIT" ]

null

artblog/apps/blog/managers.py

Kalenai/artblog-project

60bde90c99fb68910cbbfbc26b761638b9babf31

[ "MIT" ]

null

# -*- coding: utf-8 -*- from django.db import models class PostManager(models.Manager): def published(self): return self.filter(published=True)

22.428571

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20

157

5.4

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0

0.007752

0.178344

157

6

43

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0.133758

0

1

0.25

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0

1

0

null

0

1

0

1

0

5

113e506b8fce8f5ba0e2bb1b3e469e75318bd67d

289

py

Python

env/lib/python3.8/site-packages/shortuuid/__init__.py

rajancolab/blogsite

0721a3ab9b61bfca6fd84d5fae60b0574bfb0287

[ "MIT" ]

1,044

2016-10-20T23:43:13.000Z

2022-03-30T07:45:03.000Z

env/lib/python3.8/site-packages/shortuuid/__init__.py

rajancolab/blogsite

0721a3ab9b61bfca6fd84d5fae60b0574bfb0287

[ "MIT" ]

44

2017-01-24T10:24:45.000Z

2022-03-17T13:59:51.000Z

env/lib/python3.8/site-packages/shortuuid/__init__.py

rajancolab/blogsite

0721a3ab9b61bfca6fd84d5fae60b0574bfb0287

[ "MIT" ]

62

2016-10-29T21:22:26.000Z

2022-03-24T23:04:02.000Z

# flake8: noqa from shortuuid.main import decode from shortuuid.main import encode from shortuuid.main import get_alphabet from shortuuid.main import random from shortuuid.main import set_alphabet from shortuuid.main import ShortUUID from shortuuid.main import uuid __version__ = "1.0.1"

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0.875

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null

1

0

null

0

1

0

1

0

5

116495944c826eeb64f5a189f016153c1f3c68eb

465

py

Python

m6_006/py_mit6_006/heap/__init__.py

zaqwes8811/cs-courses

aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2

[ "Apache-2.0" ]

null

m6_006/py_mit6_006/heap/__init__.py

zaqwes8811/cs-courses

aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2

[ "Apache-2.0" ]

null

m6_006/py_mit6_006/heap/__init__.py

zaqwes8811/cs-courses

aa9cf5ad109c9cfcacaadc11bf2defb2188ddce2

[ "Apache-2.0" ]

null

# coding: utf-8 def shift_idx(f): def wrapper(*args): return f(*args)-1 return wrapper class Heap(object): def __init__(self): pass @staticmethod @shift_idx def parent(i): return i/2 @staticmethod @shift_idx def left(i): return 2*i @staticmethod @shift_idx def right(i): return 2*i+1 # Runner heap = [16, 14, 10, 8, 7, 9, 3, 2, 4, 1] assert heap[Heap.parent(4)] == 14

14.090909

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465

3.608696

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0.240964

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0

0.06962

0.32043

465

33

41

14.090909

0.718354

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0

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0

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1

0.285714

false

0.047619

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0.190476

0.571429

0

null

0

1

0

null

0

1

0

1

0

5

fee96ed256d6cee45f363c9b7a02e814ad0c62b1

53

py

Python

gym_plannable/env/__init__.py

michalgregor/gym_plannable

b20ad2cb6d05f3187b8918fda8129dbb9db04319

[ "BSD-3-Clause" ]

null

gym_plannable/env/__init__.py

michalgregor/gym_plannable

b20ad2cb6d05f3187b8918fda8129dbb9db04319

[ "BSD-3-Clause" ]

null

gym_plannable/env/__init__.py

michalgregor/gym_plannable

b20ad2cb6d05f3187b8918fda8129dbb9db04319

[ "BSD-3-Clause" ]

null

from .tic_tac_toe import * from .grid_world import *

17.666667

26

0.773585

9

53

4.222222

0.777778

0

0.150943

53

2

27

26.5

0.844444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

28b2bdc5cb99f5cc47a281561f7293c725f0b13b

164

py

Python

python/setup.py

phil-mansfield/minnow

86669c376dedc74d3641e44170012c158b425c2d

[ "MIT" ]

1

2020-02-23T21:42:15.000Z

python/setup.py

phil-mansfield/minnow

86669c376dedc74d3641e44170012c158b425c2d

[ "MIT" ]

null

python/setup.py

phil-mansfield/minnow

86669c376dedc74d3641e44170012c158b425c2d

[ "MIT" ]

1

2020-02-26T22:42:11.000Z

from distutils.core import setup from Cython.Build import cythonize import numpy as np setup(ext_modules=cythonize("cy_bit.pyx"), include_dirs=[np.get_include()])

27.333333

75

0.804878

26

164

4.923077

0.730769

0

0.091463

164

5

76

32.8

0.85906

0

0.060976

0

1

0

true

0

0.75

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

28bfb44b44d45cb18862236d1b18d42fd18d03a9

126

py

Python

cdispyutils/auth/__init__.py

uc-cdis/python-utils

a7f7d182815f35729d8215c84f0e1c3790292eec

[ "Apache-2.0" ]

2

2017-09-22T23:22:20.000Z

2019-01-24T12:23:20.000Z

cdispyutils/auth/__init__.py

uc-cdis/python-utils

a7f7d182815f35729d8215c84f0e1c3790292eec

[ "Apache-2.0" ]

22

2016-12-21T20:07:31.000Z

2021-07-08T15:51:21.000Z

cdispyutils/auth/__init__.py

uc-cdis/python-utils

a7f7d182815f35729d8215c84f0e1c3790292eec

[ "Apache-2.0" ]

2

2019-01-23T23:09:05.000Z

2020-12-02T23:04:50.000Z

from .errors import JWTValidationError from .jwt_validation import get_public_key_for_kid, validate_jwt, validate_request_jwt

42

86

0.888889

18

126

5.777778

0.722222

0

0.079365

126

2

87

63

0.896552

0

1

0

true

0

1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

28eddc156088b0e40461d0e3f12d9c0c3897effb

143

py

Python

article/views.py

MehmetEray/Django-Starter-Package

74e1af345b331df7a8bf3efa4b8397380f3418e7

[ "Apache-2.0" ]

null

article/views.py

MehmetEray/Django-Starter-Package

74e1af345b331df7a8bf3efa4b8397380f3418e7

[ "Apache-2.0" ]

null

article/views.py

MehmetEray/Django-Starter-Package

74e1af345b331df7a8bf3efa4b8397380f3418e7

[ "Apache-2.0" ]

null

from django.shortcuts import render,HttpResponse # Create your views here. def index(request): return render(request,'article/index.html')

28.6

48

0.783217

19

143

5.894737

0.842105

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0.118881

143

5

49

28.6

0.888889

0.160839

0

0.151261

0

1

0.333333

false

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

28f347cfa3ed62235c90a0c4f58cd2a30825d165

28

py

Python

stripunicode/__init__.py

benjamineskola/stripunicode

1a0f2b210a85c61dad586d2b9773987107ed0316

[ "0BSD" ]

null

stripunicode/__init__.py

benjamineskola/stripunicode

1a0f2b210a85c61dad586d2b9773987107ed0316

[ "0BSD" ]

null

stripunicode/__init__.py

benjamineskola/stripunicode

1a0f2b210a85c61dad586d2b9773987107ed0316

[ "0BSD" ]

null

from .stripunicode import *

14

27

0.785714

3

28

7.333333

1

0

0.142857

28

1

28

0.916667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3a63464d164c987b2b18914d852dc875e637dd9a

71

py

Python

A2Z/ANN/ANN.py

JKChang2015/Deep-Learning

061fea2737ef8d1b9e937142bc2566249e081aac

[ "MIT" ]

null

A2Z/ANN/ANN.py

JKChang2015/Deep-Learning

061fea2737ef8d1b9e937142bc2566249e081aac

[ "MIT" ]

null

A2Z/ANN/ANN.py

JKChang2015/Deep-Learning

061fea2737ef8d1b9e937142bc2566249e081aac

[ "MIT" ]

null

# ANN # Created by JKChang # 2019-07-30, 11:17 # Tag: # Description:

10.142857

20

0.633803

11

71

4.090909

1

0

0.214286

0.211268

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6

21

11.833333

0.589286

0.816901

0

null

0

null

0

null

0

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1

null

true

0

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1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

3aaceb501321cc92b7e80fc1dd4fa583ff51a61f

74

py

Python

tests/fixtures/defxmlschema/chapter12/__init__.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

tests/fixtures/defxmlschema/chapter12/__init__.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

tests/fixtures/defxmlschema/chapter12/__init__.py

nimish/xsdata

7afe2781b66982428cc1731f53c065086acd35c1

[ "MIT" ]

null

from tests.fixtures.defxmlschema.chapter12.example1247 import ProductType

37

73

0.891892

8

74

8.25

1

0

0.085714

0.054054

74

1

74

0.857143

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3ab9e6bcd7434d7d2e74b9cdceab94b966f05ed2

1,215

py

Python

adventofcode/2015/1/test/test_examples.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

adventofcode/2015/1/test/test_examples.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

adventofcode/2015/1/test/test_examples.py

bneradt/toy

982e80ec98f4e951f7275e5f22cb0197f8f86c08

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import unittest from which_floor import description_to_final_floor, get_first_basement_position class TestExamples(unittest.TestCase): def test_description_to_final_floor(self): self.assertEqual(0, description_to_final_floor('')) self.assertEqual(0, description_to_final_floor('(())')) self.assertEqual(0, description_to_final_floor('()()')) self.assertEqual(3, description_to_final_floor('(((')) self.assertEqual(3, description_to_final_floor('(()(()(')) self.assertEqual(3, description_to_final_floor('))(((((')) self.assertEqual(-1, description_to_final_floor('())')) self.assertEqual(-1, description_to_final_floor('))(')) self.assertEqual(-3, description_to_final_floor(')))')) self.assertEqual(-3, description_to_final_floor(')())())')) def test_get_first_basement_position(self): self.assertEqual(0, get_first_basement_position('()()(')) self.assertEqual(1, get_first_basement_position(')')) self.assertEqual(1, get_first_basement_position(')))')) self.assertEqual(5, get_first_basement_position('()())')) if __name__ == '__main__': unittest.main()

34.714286

79

0.688066

139

1,215

5.546763

0.215827

0.272374

0.280156

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0

0.014549

0.15144

1,215

34

80

35.735294

0.733269

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0

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0

0.666667

1

0.095238

false

0

0.095238

0

0.238095

0

null

1

0

1

0

null

0

1

0

5

3ad7418c5b71e65f0d9c0f300091ddc4288f006b

72

py

Python

ex001.py

heltonsdl/python-3---curso-em-video

2bb0408ec041628323443cf902fca593f7575941

[ "MIT" ]

null

ex001.py

heltonsdl/python-3---curso-em-video

2bb0408ec041628323443cf902fca593f7575941

[ "MIT" ]

null

ex001.py

heltonsdl/python-3---curso-em-video

2bb0408ec041628323443cf902fca593f7575941

[ "MIT" ]

null

''' Crie um proggrama que diga " Olá Mundo!" ''' print ('Olá, Mundo!')

14.4

44

0.597222

10

72

4.3

0.8

0.372093

0

0.194444

72

4

45

18

0.741379

0.555556

0

0.458333

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

aaf18ef783969fa6284f497fed576e44905ed156

12,611

py

Python

Chatbot.py

CR017/Chatbot

6ebc6c7310e1ab6779acc6b4cc192c1961185d32

[ "MIT" ]

2

2022-03-06T13:00:36.000Z

2022-03-13T13:01:40.000Z

Chatbot.py

CR017/Chatbot

6ebc6c7310e1ab6779acc6b4cc192c1961185d32

[ "MIT" ]

null

Chatbot.py

CR017/Chatbot

6ebc6c7310e1ab6779acc6b4cc192c1961185d32

[ "MIT" ]

null

import sys from datetime import datetime from difflib import get_close_matches # Closest word match function def closeMatches(word,patterns): #if(any(word.lower() in s.lower() for s in patterns)): for p in patterns: if(p.lower()== word.lower()): return p try: sw=get_close_matches(word, patterns, n=1)[0] write_to_text.write("Chatbot: Do you mean "+ str(sw) +" ?[Yes/No]" + " \n ") print("Chatbot: Do you mean "+ str(sw) +" ?[Yes/No]") C_input = Check_isEmpty("Chatbot: Do you mean "+ str(sw) +" ?[Yes/No]", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") if(C_input.lower()=="n" or C_input.lower()=="no"): return "" except IndexError: sw="" return str(sw) # Making Time stemped File name dateTimeObj = datetime.now() timestampStr = dateTimeObj.strftime("%d-%b-%Y_(%H-%M-%S)") write_to_text=open("CH_"+timestampStr+".txt","w+") write_to_text.write("Time: "+ timestampStr + " \n ") #Car brand names Brands_Name=['Maruthi Suzuki','Honda','Mahindra','Isuzu','Kia','Volvo','Citroen','Land Rover','TATA','Ford'] #Check if the Input is Integer or not def Ask_Question(Question, C_input): global val while (True): try: val = int(C_input) break except ValueError: write_to_text.write(Question + " \n ") print(Question) C_input = input("Customer: ") write_to_text.write("Customer: "+ C_input + " \n ") continue return val #if the input is empty ask question again def Check_isEmpty(Question, C_input): while (True): if(C_input==""): print(Question) C_input = input("Customer: ") else: break return C_input #Getting Information about the Cars and their models def Cars_Information(Number): write_to_text.write("Chatbot: What is the "+Number+" brand Name?" + " \n ") print("Chatbot: What is the "+Number+" brand Name?") Brand_Name = closeMatches(Check_isEmpty("Chatbot: What is the "+Number+" brand Name?",input("Customer: ")),Brands_Name) write_to_text.write("Customer: "+ Brand_Name + " \n ") while(len(Brand_Name)==0): write_to_text.write("Chatbot: What is the " + Number + " brand Name?[Entered Brand Not Found]" + " \n ") print("Chatbot: What is the " + Number + " brand Name?[Entered Brand Not Found]") Brand_Name = closeMatches(input("Customer: "),Brands_Name) write_to_text.write("Customer: " + Brand_Name + " \n ") write_to_text.write("Chatbot: How Many Cars in " + Brand_Name + "? (IN NUMBER)" + " \n ") print("Chatbot: How Many Cars in " + Brand_Name + "? (IN NUMBER)") C_input = Check_isEmpty("Chatbot: How Many Cars in " + Brand_Name + "? (IN NUMBER)",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") Car_Quantity = Ask_Question("Chatbot: How Many Cars in " + Brand_Name + " (IN NUMBER only)", C_input) if(Car_Quantity!=1): write_to_text.write("Chatbot: Are They of the same Model?[Yes/No]" + " \n ") print("Chatbot: Are They of the same Model?[Yes/No]") C_input = Check_isEmpty("Chatbot: Are They of the same Model?[Yes/No]",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") else: write_to_text.write("Chatbot: What model is it?" + " \n ") print("Chatbot: What model is it?") C_input = Check_isEmpty("Chatbot: What model is it?",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: What is the engine size of Car?" + " \n ") print("Chatbot: What is the engine size of Car?") C_input = Check_isEmpty("Chatbot: What is the engine size of Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: How many Axles are in this Car?" + " \n ") print("Chatbot: How many Axles are in this Car?") C_input = Check_isEmpty("Chatbot: How many Axles are in this Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") if ("no" in C_input.lower() or "n" in C_input.lower()): j = 1 while (j <= Car_Quantity): if (j == 1): write_to_text.write("Chatbot: what is the 1st Car model?" + " \n ") print("Chatbot: What is the 1st Car model?") C_input =Check_isEmpty("Chatbot: What is the 1st Car model?",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: What is the engine size of 1st Car?" + " \n ") print("Chatbot: What is the engine size of 1st Car?") C_input = Check_isEmpty("Chatbot: What is the engine size of 1st Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: How many Axles are in 1st Car?" + " \n ") print("Chatbot: How many Axles are in 1st Car?") C_input = Check_isEmpty("Chatbot: How many Axles are in 1st Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") elif (j == 2): write_to_text.write("Chatbot: What is the 2nd Car model?" + " \n ") print("Chatbot: What is the 2nd Car model?") C_input = Check_isEmpty("Chatbot: What is the 2nd Car model?",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: What is the engine size of 2nd Car?" + " \n ") print("Chatbot: What is the engine size of 2nd Car?") C_input = Check_isEmpty("Chatbot: What is the engine size of 2nd Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: How many Axles are in 2nd Car?" + " \n ") print("Chatbot: How many Axles are in 2nd Car?") C_input = Check_isEmpty("Chatbot: How many Axles are in 2nd Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") elif (j == 3): write_to_text.write("Chatbot: What is the 3rd Car model?" + " \n ") print("Chatbot: What is the 3nrd Car model?") C_input = Check_isEmpty("Chatbot: What is the 3rd Car model?",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: What is the engine size of 3rd Car?" + " \n ") print("Chatbot: What is the engine size of 3rd Car?") C_input = Check_isEmpty("Chatbot: What is the engine size of 3rd Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: How many Axles are in 3rd Car?" + " \n ") print("Chatbot: How many Axles are in 3rd Car?") C_input = Check_isEmpty("Chatbot: How many Axles are in 3rd Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") elif (i > 3): write_to_text.write("Chatbot: What is the " + str(j) + "th Car model?" + " \n ") print("Chatbot: What is the " + str(j) + "th Car model?") C_input = Check_isEmpty("Chatbot: What is the " + str(j) + "th Car model?",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: What is the engine size of " + str(j) + "th Car?" + " \n ") print("Chatbot: What is the engine size of " + str(j) + "th Car?") C_input = Check_isEmpty("Chatbot: What is the engine size of " + str(j) + "th Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: How many Axles are in " + str(j) + "th Car?" + " \n ") print("Chatbot: How many Axles are in " + str(j) + "th Car?") C_input = Check_isEmpty("Chatbot: How many Axles are in " + str(j) + "th Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") j = j + 1 elif("yes" in C_input.lower() or "y" in C_input.lower()): if(Car_Quantity==1): write_to_text.write("Chatbot: What model is it?" + " \n ") print("Chatbot: What model is it?") C_input = Check_isEmpty("Chatbot: What model is it?",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: What is the engine size of Car?" + " \n ") print("Chatbot: What is the engine size of Car?") C_input = Check_isEmpty("Chatbot: What is the engine size of Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: How many Axles are in this Car?" + " \n ") print("Chatbot: How many Axles are in this Car?") C_input = Check_isEmpty("Chatbot: How many Axles are in this Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") else: write_to_text.write("Chatbot: What model are they?" + " \n ") print("Chatbot: What model are they?") C_input =Check_isEmpty("Chatbot: What model are they?",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: What is the engine size of These Car?" + " \n ") print("Chatbot: What is the engine size of These Car?") C_input = Check_isEmpty("Chatbot: What is the engine size of These Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: Number of Axles per Car?" + " \n ") print("Chatbot: Number of Axles per Car?") C_input = Check_isEmpty("Chatbot: Number of Axles per Car?", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") #Starting Point of the Program write_to_text.write("Chatbot: Hello, Your Full Name Please " + " \n ") print("Chatbot: Hello, Your Full Name Please") Customer_Name =Check_isEmpty( "Chatbot: Hello, Your Full Name Please",input("Customer: ")) write_to_text.write("Customer: " + Customer_Name + " \n ") write_to_text.write("Chatbot: Hi " + Customer_Name + " What\'s the name of your company?" + " \n ") print("Chatbot: Hi " + Customer_Name + " What\'s the name of your company?") C_input = Check_isEmpty("Chatbot: Hi " + Customer_Name + " What\'s the name of your company?",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") write_to_text.write("Chatbot: Do you own Cars?[Yes/No]" + " \n ") print("Chatbot: Do you own Cars?[Yes/No]") C_input = Check_isEmpty("Chatbot: Do you own Cars?[Yes/No]",input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") if("no" in C_input.lower() or "n" in C_input.lower()): write_to_text.write("Please contact to one of our Colleague For more information "+ " \n ") print('Please contact to one of our colleague for more information ') write_to_text.close() sys.exit() write_to_text.write("Chatbot: How many Car's brand do you have? (IN NUMBER)" + " \n ") print("Chatbot: How many Cars's brand do you have? (IN NUMBER)") C_input =Check_isEmpty("Chatbot: How many Car's brand do you have? (IN NUMBER)", input("Customer: ")) write_to_text.write("Customer: " + C_input + " \n ") Brand_Quantity = Ask_Question("Chatbot: How many Car's brand do you have? (IN NUMBER only)", C_input) i = 1 while i <= Brand_Quantity: if (i == 1): Cars_Information("1st") elif (i == 2): Cars_Information("2nd") elif (i == 3): Cars_Information("3rd") elif (i > 3): Cars_Information(str(i)+"th") i = i + 1 print("Chatbot: Thank you very much for your information \n we are now processing your information and \n we will get back to you soon\n until than have a nice day Bye:) ") write_to_text.write("Chatbot: Thank you very much for your information \n we are now processing your information and \n we will get back to you soon\n until than have a nice day Bye:) \n ") write_to_text.close()

52.327801

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1

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1

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null

0

5

aafd98dfdcbeca899616676495d062a5051c3ad2

207

py

Python

plotlib/__init__.py

shuiyao/PyGIZMO

aee584186b614da26e557aa3e2f12eb40c7ec1ae

[ "MIT" ]

null

plotlib/__init__.py

shuiyao/PyGIZMO

aee584186b614da26e557aa3e2f12eb40c7ec1ae

[ "MIT" ]

null

plotlib/__init__.py

shuiyao/PyGIZMO

aee584186b614da26e557aa3e2f12eb40c7ec1ae

[ "MIT" ]

1

2022-03-08T20:47:45.000Z

''' Scripts that make publication-ready figures. ''' from .legend import Legend from .multiframe import FrameMulti from .phasediagram import PhaseDiagram from .map2d import Map2D from .halo3d import Halo3D

20.7

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0.801932

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207

6.384615

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1

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5

c9597cd7a350c34f92b4c608f40077ec2a89adb0

33

py

Python

build_utils/__init__.py

kalyanam-FMTGA/ray-original

f4f57896015c1c29ca571069b007c409d74824e0

[ "BSD-3-Clause-LBNL" ]

154

2015-01-27T15:02:36.000Z

2022-01-06T18:14:18.000Z

build_utils/__init__.py

kalyanam-FMTGA/ray-original

f4f57896015c1c29ca571069b007c409d74824e0

[ "BSD-3-Clause-LBNL" ]

35

2015-05-11T21:41:31.000Z

2021-12-17T13:23:57.000Z

build_utils/__init__.py

kalyanam-FMTGA/ray-original

f4f57896015c1c29ca571069b007c409d74824e0

[ "BSD-3-Clause-LBNL" ]

64

2015-01-21T00:52:40.000Z

2022-02-07T12:15:09.000Z

# initialize package build_utils

16.5

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c9737b09e2dd9018694a7ac9dd55bb74e6e748cb

114

py

Python

tutorial/00_split_files/apis/source.py

edge-minato/openapy

c156fad5e64599e17cc1cd64e27daa824fdf98b0

[ "MIT" ]

null

tutorial/00_split_files/apis/source.py

edge-minato/openapy

c156fad5e64599e17cc1cd64e27daa824fdf98b0

[ "MIT" ]

31

2021-11-18T23:22:01.000Z

2022-03-28T23:33:59.000Z

tutorial/00_split_files/apis/source.py

edge-minato/openapy

c156fad5e64599e17cc1cd64e27daa824fdf98b0

[ "MIT" ]

null

def function_a(name: str, age: int) -> None: pass def function_b(height: int, weight: int) -> int: pass

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18

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6

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1

0

1

0

null

0

1

0

1

0

5

a3773c18dee4152c0e4952e688feaf37ab636ae3

92

py

Python

rapidunfurl/example.py

tdarwin/rapidunfurl

21a7db7d78fa85098760958fbac28ba14fd05236

[ "MIT" ]

1

2022-02-18T20:46:40.000Z

rapidunfurl/example.py

tdarwin/rapidunfurl

21a7db7d78fa85098760958fbac28ba14fd05236

[ "MIT" ]

null

rapidunfurl/example.py

tdarwin/rapidunfurl

21a7db7d78fa85098760958fbac28ba14fd05236

[ "MIT" ]

null

import rapidunfurl print(rapidunfurl.unfurl('https://www.youtube.com/watch?v=aBr2kKAHN6M'))

30.666667

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92

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null

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1

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1

0

1

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5

a3885b4a5f9f87768ce42254eafb586baadd4ec7

436

py

Python

terrascript/resource/hashicorp/time.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/resource/hashicorp/time.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/resource/hashicorp/time.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/resource/hashicorp/time.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:28:43 UTC) import terrascript class time_offset(terrascript.Resource): pass class time_rotating(terrascript.Resource): pass class time_sleep(terrascript.Resource): pass class time_static(terrascript.Resource): pass __all__ = [ "time_offset", "time_rotating", "time_sleep", "time_static", ]

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false

0.266667

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null

1

0

1

0

null

0

1

0

5

6e586a50296760a7df1f709c8846e660d4d26708

81

py

Python

api.py

miketineo/places

94adaf7f8e5c8f5909f0407207019e9a0651ebbe

[ "MIT" ]

null

api.py

miketineo/places

94adaf7f8e5c8f5909f0407207019e9a0651ebbe

[ "MIT" ]

null

api.py

miketineo/places

94adaf7f8e5c8f5909f0407207019e9a0651ebbe

[ "MIT" ]

null

from flask import Flask, request, json, Response from pymongo import MongoClient

27

48

0.82716

11

81

6.090909

0.727273

0

0.135802

81

2

49

40.5

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0

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true

0

1

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null

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1

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null

0

1

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1

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1

0

5

6e745874ca8e7b2d8831e90de9567194a2502bc1

243

py

Python

languages/python/topics/urls/P001_URLEncoding_UsingUrllib2.py

lakshmikanth-tesla/DeveloperNotes2Myself

9a5dad930ddbb99ace46d2d672109e8553aecbc2

[ "MIT" ]

2

2019-05-25T10:09:00.000Z

2022-03-11T09:06:23.000Z

languages/python/topics/urls/P001_URLEncoding_UsingUrllib2.py

lakshmikanth-tesla/DeveloperNotes2Myself

9a5dad930ddbb99ace46d2d672109e8553aecbc2

[ "MIT" ]

2

2020-03-31T04:30:17.000Z

2020-10-30T07:54:28.000Z

languages/python/topics/urls/P001_URLEncoding_UsingUrllib2.py

lakshmikanth-tesla/DeveloperNotes2Myself

9a5dad930ddbb99ace46d2d672109e8553aecbc2

[ "MIT" ]

4

2019-07-12T13:18:56.000Z

2021-11-17T08:04:55.000Z

import urllib2 urlString1 = "NIFTY 25" urlString2 = 'NIFTY A\B\C\D' urlString3 = '22/01/2014' # Using urllib2 library print urllib2.quote(urlString1, safe='') print urllib2.quote(urlString2, safe='') print urllib2.quote(urlString3, safe='')

22.090909

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33

243

5.424242

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0.097674

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243

10

41

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0.734884

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0

null

1

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null

0

1

0

1

0

5

6edae75d1472ea6c4bd689df7d05681edfedeb17

127

py

Python

loopnova/routes.py

polyedre/loopnova

34566bfb9cdd05c7b4c087738a1ef8b1146c1cc3

[ "MIT" ]

null

loopnova/routes.py

polyedre/loopnova

34566bfb9cdd05c7b4c087738a1ef8b1146c1cc3

[ "MIT" ]

null

loopnova/routes.py

polyedre/loopnova

34566bfb9cdd05c7b4c087738a1ef8b1146c1cc3

[ "MIT" ]

null

from flask import Blueprint main = Blueprint('main', __name__) @main.route('/') def hello_world(): return "Hello, World!"

18.142857

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127

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127

7

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1

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null

0

1

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5

42db122cbf48403c7eb2172c1d27b482a056abc8

63

py

Python

docs/papers/wpmvp14/experiments/sum0.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

1,647

2015-01-13T01:45:38.000Z

2022-03-28T01:23:41.000Z

docs/papers/wpmvp14/experiments/sum0.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

1,116

2015-01-01T09:52:05.000Z

2022-03-18T21:06:40.000Z

docs/papers/wpmvp14/experiments/sum0.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

180

2015-02-12T02:47:28.000Z

2022-03-14T10:28:18.000Z

#pythran export sum0(float []) def sum0(r): return vsum(r)

15.75

30

0.650794

10

63

4.1

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0.190476

63

3

31

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false

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null

0

1

0

null

0

1

0

1

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5

42fcfe04f201ab7390b7209587b49547ef630846

143

py

Python

website/sent/admin.py

HARSHIT-GUPTA-coder/sentimeter

20b8ed90e036d346d91da43853afb16f9c1dc88e

[ "MIT" ]

null

website/sent/admin.py

HARSHIT-GUPTA-coder/sentimeter

20b8ed90e036d346d91da43853afb16f9c1dc88e

[ "MIT" ]

null

website/sent/admin.py

HARSHIT-GUPTA-coder/sentimeter

20b8ed90e036d346d91da43853afb16f9c1dc88e

[ "MIT" ]

null

from django.contrib import admin from .models import Data,Keys # Register your models here. admin.site.register(Data) admin.site.register(Keys)

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5

6e2b0ecd14cc7f8d8707892f54a4592be1439fa0

4,581

py

Python

tests/test_timeseries_acc_month.py

patello/homeplotter

af4ed04d24b078a5061360218610c0382e5d749f

[ "MIT" ]

null

tests/test_timeseries_acc_month.py

patello/homeplotter

af4ed04d24b078a5061360218610c0382e5d749f

[ "MIT" ]

null

tests/test_timeseries_acc_month.py

patello/homeplotter

af4ed04d24b078a5061360218610c0382e5d749f

[ "MIT" ]

null

import datetime import math import itertools import pytest import calendar from homeplotter.timeseries import TimeSeries sample_data = { "both-broken":[[datetime.date(2020, 10, 12), 200.0],[datetime.date(2020, 11, 24), 50.0],[datetime.date(2020, 12, 5), 200.0], [datetime.date(2020, 12, 30), 400.0], [datetime.date(2020, 12, 31), -300], [datetime.date(2021, 2, 2), 100],[datetime.date(2021,3,11),60]], "last-broken":[[datetime.date(2020, 10, 1), 200.0],[datetime.date(2020, 11, 24), 50.0],[datetime.date(2020, 12, 5), 200.0], [datetime.date(2020, 12, 30), 400.0], [datetime.date(2020, 12, 31), -300], [datetime.date(2021, 2, 2), 100],[datetime.date(2021,3,11),60]], "last-broken-year":[[datetime.date(2020, 10, 1), 200.0],[datetime.date(2020, 11, 24), 50.0],[datetime.date(2020, 12, 5), 200.0], [datetime.date(2020, 12, 30), 400.0], [datetime.date(2020, 12, 31), -300], [datetime.date(2021, 1, 2), 100]], "first-broken":[[datetime.date(2020, 10, 12), 200.0],[datetime.date(2020, 11, 24), 50.0],[datetime.date(2020, 12, 5), 200.0], [datetime.date(2020, 12, 30), 400.0], [datetime.date(2020, 12, 31), -300], [datetime.date(2021, 2, 2), 100],[datetime.date(2021,3,31),60]], "first-broken-year":[[datetime.date(2020, 12, 5), 200.0], [datetime.date(2020, 12, 30), 400.0], [datetime.date(2020, 12, 31), -300], [datetime.date(2021, 2, 2), 100],[datetime.date(2021,3,31),60]], "both-even":[[datetime.date(2020, 10, 1), 200.0],[datetime.date(2020, 11, 24), 50.0],[datetime.date(2020, 12, 5), 200.0], [datetime.date(2020, 12, 30), 400.0], [datetime.date(2020, 12, 31), -300], [datetime.date(2021, 2, 2), 100],[datetime.date(2021,3,31),60]], "one-month":[[datetime.date(2020, 12, 1), 200.0],[datetime.date(2020, 12, 5), 50.0],[datetime.date(2020, 12, 31), 300.0]], } def expected_start_date(date, padding): year = date.year month = date.month if padding or date.day == 1: return datetime.date(year,month,1) else: if month < 12: return datetime.date(year,month+1,1) else: return datetime.date(year+1,1,1) def expected_end_date(date, padding): year = date.year month = date.month if padding or date.day==calendar.monthrange(year,month)[1]: return datetime.date(year,month,1) else: if month > 1: return datetime.date(year,month-1,1) else: return datetime.date(year-1,12,1) @pytest.mark.parametrize("padding,sample_key", itertools.product([False,True],sample_data.keys())) def test_accumulate__len(padding,sample_key): ts = TimeSeries(sample_data[sample_key]) original_len = len(ts.data) start_date = expected_start_date(ts.data[0][0],padding) end_date = expected_end_date(ts.data[-1][0], padding) expected_len = (end_date.year-start_date.year)*12+(end_date.month-start_date.month)+1 ts.accumulate(1,"Month",padding=padding) assert(len(ts.data) == expected_len) @pytest.mark.parametrize("padding,sample_key", itertools.product([False,True],sample_data.keys())) def test_accumulate__start_date(padding,sample_key): sd = sample_data[sample_key] ts = TimeSeries(sd) ts.accumulate(1,"Month",padding=padding) assert(ts.get_x()[0]==expected_start_date(sd[0][0],padding)) assert(ts.get_x()[0].day==1) @pytest.mark.parametrize("padding,sample_key", itertools.product([False,True],sample_data.keys())) def test_accumulate__steps(padding,sample_key): ts = TimeSeries(sample_data[sample_key]) ts.accumulate(1,"Month",padding=padding) for i in range(1,len(ts.data)): assert((ts.data[i][0]-ts.data[i-1][0]).days == calendar.monthrange(ts.data[i-1][0].year,ts.data[i-1][0].month)[1]) @pytest.mark.parametrize("padding,sample_key", itertools.product([False,True],sample_data.keys())) def test_accumulate__end_date(padding,sample_key): sd = sample_data[sample_key] ts = TimeSeries(sd) ts.accumulate(1,"Month",padding=padding) assert(ts.get_x()[-1]==expected_end_date(sd[-1][0],padding)) assert(ts.get_x()[-1].day==1) @pytest.mark.parametrize("padding,sample_key", itertools.product([False,True],sample_data.keys())) def test_accumulate__sum(padding,sample_key): sd = sample_data[sample_key] ts = TimeSeries(sd) ts.accumulate(1,"Month",padding=padding) for i in range(len(ts.data)): cum_sum = 0 for data in sd: if ts.data[i][0]<=data[0]<ts.data[i][0]+datetime.timedelta(calendar.monthrange(ts.data[i][0].year,ts.data[i][0].month)[1]): cum_sum+=data[1] assert(ts.data[i][1]==cum_sum)

53.267442

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738

4,581

4.020325

0.101626

0.194135

0.167172

0.137513

0.79609

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0.738793

0.717897

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4,581

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null

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null

0

5

6e3f7d5d8755e5d2d49e1d8e5dcb93e6392b11d9

164

py

Python

scbw_mq/parser/__init__.py

Games-and-Simulations/sc-mq

f9ae798948add7fd84b77d75ca26ade94620f84e

[ "MIT" ]

2

2018-05-10T18:10:28.000Z

2018-05-13T18:14:33.000Z

scbw_mq/parser/__init__.py

Games-and-Simulations/sc-mq

f9ae798948add7fd84b77d75ca26ade94620f84e

[ "MIT" ]

1

2019-09-20T14:14:49.000Z

scbw_mq/parser/__init__.py

Games-and-Simulations/sc-mq

f9ae798948add7fd84b77d75ca26ade94620f84e

[ "MIT" ]

null

from .producer import launch_producer, ProducerConfig # You shouldn't need to use anything else other than these: __all__ = ['launch_producer', 'ProducerConfig']

27.333333

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0.786585

21

164

5.857143

0.809524

0.227642

0.455285

0

0.134146

164

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null

1

0

1

0

null

0

1

0

5

2857355188e9f99f351f97525c7965b768f5909f

993

py

Python

scripts/remove_html.py

IgnacioPardo/PythonGalore

352226597956bedd6f89c9e417133f9c7eede9c5

[ "MIT" ]

null

scripts/remove_html.py

IgnacioPardo/PythonGalore

352226597956bedd6f89c9e417133f9c7eede9c5

[ "MIT" ]

null

scripts/remove_html.py

IgnacioPardo/PythonGalore

352226597956bedd6f89c9e417133f9c7eede9c5

[ "MIT" ]

null

from bs4 import BeautifulSoup text = 'Para protegerte del coronavirus, hay algunas acciones básicas que te pueden ayudar:\n1.<strong style="color:#f2674a"> Lavate las manos a menudo</strong> con agua y jabón durante al menos 20 segundos</div><div class="divider"></div><center> <div class="emoji" style="font-size: 70px">💧 🧼 👏</div></center>\n2. <strong style="color:#f2674a">Evita tocarte</strong> la cara con las manos sin lavar🚫🤦\n3. #QuedateEnCasa🏠\n4. Al toser o estornudar, <strong style="color:#f2674a">cubrite la boca y la nariz con el codo flexionado🤧💪</strong> y lávate las manos con agua y jabón o con un desinfectante de manos a base de alcohol\nhttps://fpp.org.pe/wp-content/uploads/2019/08/Lavado-de-manos-1200x768.jpg' import re print(re.sub(r"(?i)\b((?:https?://|www\d{0,3}[.]|[a-z0-9.\-]+[.][a-z]{2,4}/)(?:[^\s()<>]+|\(([^\s()<>]+|(\([^\s()<>]+\)))*\))+(?:\(([^\s()<>]+|(\([^\s()<>]+\)))*\)|[^\s`!()\[\]{};:'\".,<>?«»“”‘’]))", '', BeautifulSoup(text, 'html.parser').text))

124.125

703

0.633434

159

993

4.018868

0.672956

0.015649

0.018779

0.103286

0.00939

0

0.044444

0.093656

993

7

704

141.857143

0.654444

0

0.5

0.878147

0.298087

0

1

0

false

0

0.5

0

0.5

0.25

0

null

0

1

0

1

0

1

0

null

0

1

0

5

289ab0d984db6b48e302af9cafe2bf866b584fd1

18

py

Python

python/testData/intentions/PyConvertFormatOperatorToMethodIntentionTest/starWidth.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/intentions/PyConvertFormatOperatorToMethodIntentionTest/starWidth.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/intentions/PyConvertFormatOperatorToMethodIntentionTest/starWidth.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

s = '%*d' % (4, 5)

18

0.222222

4

18

1

0

0.153846

0.277778

18

1

18

0.153846

0

0.157895

0

1

0

false

0

1

null

0

1

0

1

0

null

0

5

289c5d4cac1c102ae0f62d05579adeb3c1c90088

225

py

Python

mitmirror/data/users/__init__.py

Claayton/mitmirror-api

a78ec3aa84aa3685a26bfaf5e1ba2a3f0f8405d1

[ "MIT" ]

null

mitmirror/data/users/__init__.py

Claayton/mitmirror-api

a78ec3aa84aa3685a26bfaf5e1ba2a3f0f8405d1

[ "MIT" ]

1

2021-10-09T20:42:03.000Z

mitmirror/data/users/__init__.py

Claayton/mitmirror-api

a78ec3aa84aa3685a26bfaf5e1ba2a3f0f8405d1

[ "MIT" ]

null

"""Arquivo de inicializacao para o metodo users""" from .register_user import RegisterUser from .get_user import GetUser from .get_users import GetUsers from .update_user import UpdateUser from .delete_user import DeleteUser

32.142857

50

0.831111

32

225

5.6875

0.59375

0.21978

0

0.12

225

6

51

37.5

0.919192

0.195556

0

0.166667

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1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

5

9541753dafbda86063ca69dc5d77aa02b511cf67

42,622

py

Python

sandy-disaster-recovery/random_password.py

toddjcrane/crisiscleanup-legacy

74dbad143ebc3bfae4cc5afc478e43ab4033ff69

[ "Apache-2.0" ]

1

2017-01-07T21:44:21.000Z

sandy-disaster-recovery/random_password.py

aarontitus/crisiscleanup-legacy

74dbad143ebc3bfae4cc5afc478e43ab4033ff69

[ "Apache-2.0" ]

1

2021-03-26T00:25:19.000Z

sandy-disaster-recovery/random_password.py

toddjcrane/crisiscleanup-legacy

74dbad143ebc3bfae4cc5afc478e43ab4033ff69

[ "Apache-2.0" ]

1

2017-09-07T09:52:15.000Z

import random word_list = ['about', 'above', 'absent', 'added', 'address', 'admit', 'after', 'again', 'against', 'agree', 'ahead', 'air', 'aircraft', 'airplane', 'airport', 'album', 'almost', 'along', 'alphabet', 'also', 'always', 'among', 'angry', 'animal', 'annoy', 'another', 'answer', 'anything', 'anyway', 'anywhere', 'applaud', 'apple', 'april', 'arm', 'army', 'around', 'arrive', 'artist', 'asked', 'asleep', 'attack', 'attic', 'august', 'aunt', 'avenue', 'awake', 'away', 'awesome', 'awning', 'babble', 'back', 'backpack', 'baffle', 'bake', 'baked', 'bald', 'balloon', 'banana', 'band', 'bank', 'barbecue', 'bare', 'bark', 'barn', 'base', 'baseball', 'basin', 'basket', 'batch', 'bath', 'bathroom', 'bathtub', 'battle', 'bawl', 'beach', 'bead', 'beak', 'beam', 'bean', 'bear', 'because', 'bee', 'beef', 'beehive', 'been', 'beet', 'before', 'began', 'begin', 'behave', 'behind', 'being', 'bell', 'belly', 'below', 'belt', 'bench', 'bend', 'bent', 'bess', 'best', 'beth', 'better', 'between', 'bicycle', 'bike', 'bill', 'bing', 'bird', 'birth', 'birthday', 'blade', 'blame', 'blanch', 'blank', 'blanket', 'bleach','blend', 'blended', 'bless', 'blimp', 'blind', 'blink', 'blip', 'bliss', 'block', 'blond', 'bloom', 'blot', 'blown', 'bluebird', 'bluff', 'blunt', 'blur', 'blurb', 'blurt', 'blush', 'boast', 'boat', 'bobsled', 'body', 'boil', 'bold', 'bomb', 'bond', 'bone', 'bong', 'bonnet', 'bonus', 'book', 'books', 'boom', 'boost', 'boot', 'booth', 'born', 'boss', 'both', 'bottle', 'bowl', 'box', 'brace', 'brag', 'braid', 'brain', 'brake', 'bran', 'branch', 'brand', 'brass', 'brat', 'brave', 'brawl', 'brawn', 'bread', 'break', 'breath', 'bred', 'brick', 'bright', 'brim', 'bring', 'brisk', 'broil', 'broiler', 'broke', 'brook', 'broom', 'broth', 'brother', 'brownie', 'brunt', 'brush', 'brute', 'bubble', 'buck', 'bucket', 'buddy', 'built', 'bump', 'bunch', 'bundle', 'bunk', 'bunny', 'bunt', 'burn', 'burnt', 'burst', 'buses', 'bust', 'busy', 'button', 'buzz', 'cabin', 'cage', 'cake', 'called', 'camp', 'camping', 'candle', 'candy', 'cane', 'cape', 'car', 'card', 'care', 'careful', 'carrot', 'carry', 'cart', 'cartoon', 'case', 'cask', 'cass', 'cast', 'catch', 'catnip', 'cattle', 'cave', 'ceiling', 'cell', 'cent', 'cereal', 'chain', 'chair', 'chalk', 'champ', 'change', 'channel', 'charge', 'chart', 'chase', 'chat', 'cheap', 'check', 'cheek', 'cheer', 'cheese', 'chess', 'chew', 'chicken', 'chief', 'child', 'children', 'chill', 'chime', 'chin', 'chip', 'chipmunk', 'chirp', 'chisel', 'choice', 'chomp', 'choose', 'chose', 'chow', 'chuck', 'chuckle', 'chug', 'chunk', 'churn', 'circle', 'circus', 'city', 'clack', 'clad', 'claim', 'clam', 'clamp', 'clan', 'clang', 'clap', 'clapped', 'clark', 'clash', 'clasp', 'class', 'claw', 'clay', 'clean', 'clerk', 'clever', 'click', 'cliff', 'climb', 'cling', 'clink', 'clip', 'cloak', 'clock', 'clod', 'close', 'closed', 'clot', 'cloth', 'cloud', 'clown', 'cluck', 'clue', 'clump', 'clung', 'clutch', 'coach', 'coal', 'coast', 'coat', 'coax', 'code', 'coffee', 'coil', 'coin', 'cold', 'collect', 'color', 'colorful', 'comet', 'compact', 'compass', 'computer', 'cone', 'cook', 'cookie', 'cool', 'coop', 'copy', 'cord', 'cork', 'corn', 'corner', 'cost', 'cough', 'could', 'count', 'country', 'course', 'cover', 'cowboy', 'cozy', 'crab', 'craft', 'cramp', 'crane', 'crash', 'crashing', 'crate', 'crawl', 'crayon', 'crept', 'crew', 'crib', 'crick', 'crime', 'crinkle', 'crisp', 'croak', 'crock', 'crook', 'crop', 'cross', 'crow', 'crown', 'cruise', 'crumb', 'crunch', 'crush', 'crust', 'crystal', 'cube', 'cuddle', 'cuff', 'cupcake', 'curb', 'cure', 'curl', 'curve', 'cute', 'cycle', 'damp', 'dance', 'danger', 'dangle', 'danny', 'dare', 'dark', 'dart', 'darts', 'dash', 'database', 'dawn', 'daylight', 'days', 'dealt', 'dear', 'december', 'decent', 'deck', 'dent', 'dentist', 'desk', 'diamond', 'dime', 'dimple', 'dine', 'dinner', 'dinosaur', 'dirt', 'dish', 'disk', 'ditch', 'dive', 'dock', 'doctor', 'does', 'doghouse', 'doll', 'dollar', 'done', 'door', 'down', 'doze', 'draft', 'drag', 'dragon', 'drain', 'drake', 'drank', 'drape', 'draw', 'drawn', 'dread', 'dress', 'drew', 'drift', 'drive', 'driveway', 'droop', 'drop', 'dropped', 'drove', 'drum', 'duck', 'dude', 'dump', 'dunk', 'during', 'dusk', 'dust', 'dusted', 'each', 'eagle', 'earache', 'ears', 'earth', 'easel', 'east', 'edge', 'egg', 'eight', 'elbow', 'elephant', 'else', 'empty', 'enjoy', 'enough', 'erase', 'eraser', 'even', 'ever', 'every', 'everyone', 'example', 'expanded', 'explore', 'extra', 'eyes', 'fabric', 'face', 'fact', 'fade', 'family', 'fan', 'fang', 'farm', 'fast', 'father', 'fault', 'fawn', 'feast', 'feather', 'feed', 'feel', 'feet', 'fell', 'fellow', 'felt', 'fence', 'fern', 'festival', 'fetch', 'fiddle', 'fifty', 'fight', 'file', 'fill', 'filled', 'film', 'find', 'fine', 'finish', 'fire', 'first', 'fish', 'fishing', 'five', 'flag', 'flagpole', 'flake', 'flame', 'flap', 'flash', 'flat', 'flaunt', 'flaw', 'fled', 'flesh', 'flick', 'flight', 'fling', 'flip', 'flirt', 'flit', 'float', 'flock', 'floor', 'flop', 'flour', 'flow', 'flower', 'flown', 'fluffy', 'flute', 'foal', 'foam', 'foil', 'fold', 'follow', 'fond', 'food', 'football', 'forehead', 'forest', 'forever', 'form', 'fort', 'forth', 'found', 'four', 'fowl', 'frame', 'fray', 'free', 'freeway', 'fresh', 'friday', 'fried', 'friend', 'frill', 'frisk', 'frog', 'from', 'front', 'fruit','full', 'fume', 'fungus', 'fuse', 'fuss', 'game', 'garden', 'gate', 'gave', 'gaze', 'gemstone', 'general', 'gentle', 'gift', 'ginger', 'giraffe', 'give', 'given', 'giving', 'glad', 'glade', 'gland', 'glass', 'glaze', 'gleam', 'glean', 'glide', 'glint', 'glob', 'globe', 'gloss', 'gloves', 'glow', 'glue', 'goat', 'gobble', 'goblin', 'goes', 'going', 'gold', 'golf', 'good', 'goose', 'gown', 'grace', 'graceful', 'grade', 'grain', 'gram', 'grand', 'grandma', 'grandpa', 'grant', 'grape', 'grapes', 'grasp', 'grass', 'grate', 'grateful', 'gray', 'great', 'green', 'greet', 'grew', 'grill', 'grilled', 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'windy', 'winged', 'winter', 'wiry', 'wisdom', 'wise', 'wisely', 'with', 'without', 'witted', 'witty', 'wobbly', 'woeful', 'wok', 'wonder', 'wood', 'wooden', 'wool', 'woozy', 'word', 'wordy', 'work', 'worker', 'workers', 'working', 'works', 'world', 'worldly', 'worn', 'worried', 'worse', 'worst', 'worthy', 'wow', 'wrap', 'writing', 'wrong', 'wrongly', 'wry', 'yacht', 'yard', 'yards', 'year', 'yes', 'yet', 'yogurt', 'york', 'you', 'yucca', 'yummy', 'zeal', 'zealous', 'zester', 'zinc', 'zone', 'zoo'] def generate_password(): first_random = random.choice(word_list) second_random = random.choice(word_list) string = first_random + second_random + str(random.randint(100,999)) return string

4,262.2

42,365

0.569143

4,599

42,622

5.272885

0.835834

0.00099

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0.000211

0.108817

42,622

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42,366

4,735.777778

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null

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5

9597cbd8c9becc8be6b9784a55cf4d3b72d7fe04

133

py

Python

snake_wars/server/entities/food.py

Joffreybvn/snake-wars

74732b29272c30af967d13e16d460b424a78cd98

[ "MIT" ]

null

snake_wars/server/entities/food.py

Joffreybvn/snake-wars

74732b29272c30af967d13e16d460b424a78cd98

[ "MIT" ]

null

snake_wars/server/entities/food.py

Joffreybvn/snake-wars

74732b29272c30af967d13e16d460b424a78cd98

[ "MIT" ]

null

from snake_wars.commons import Location class Food: def __init__(self, location: Location): self.location = location

14.777778

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133

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0.266667

0.444444

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0.218045

133

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null

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5

95cae73cbeea73780b6e30bd964d8fa3f70bf2ee

8,041

py

Python

farms2face/home/migrations/0001_initial.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

null

farms2face/home/migrations/0001_initial.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

null

farms2face/home/migrations/0001_initial.py

dev1farms2face/f2f

54e58187a68574bf2bd0dfb7e58a2b416336106a

[ "MIT" ]

2

2018-06-19T12:12:08.000Z

2018-06-25T18:45:36.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2017-07-20 06:27 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('facepackwizard', '0004_auto_20170324_1818'), ] operations = [ migrations.CreateModel( name='Base', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=1000)), ('helper', models.CharField(blank=True, max_length=1000, null=True)), ('description', models.CharField(blank=True, max_length=2000, null=True)), ('image', models.FileField(upload_to='images/base/')), ('skin_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='facepackwizard.SkinType')), ], ), migrations.CreateModel( name='CustomFacePack', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ], ), migrations.CreateModel( name='Ingredient', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=1000)), ('helper', models.CharField(blank=True, max_length=1000, null=True)), ('description', models.CharField(blank=True, max_length=2000, null=True)), ('image', models.FileField(upload_to='images/ingredients/')), ], ), migrations.CreateModel( name='Item', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(blank=True, max_length=1000)), ('price', models.DecimalField(decimal_places=2, default=0.0, max_digits=6)), ('helper', models.CharField(blank=True, max_length=1000)), ('createdte', models.DateTimeField(default=django.utils.timezone.now)), ], ), migrations.CreateModel( name='MixingAgent', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=1000)), ('helper', models.CharField(blank=True, max_length=1000, null=True)), ('description', models.CharField(blank=True, max_length=2000, null=True)), ('image', models.FileField(upload_to='images/mixing_agents/')), ('skin_type', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='facepackwizard.SkinType')), ], ), migrations.CreateModel( name='PrePack', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('highlights', models.CharField(blank=True, max_length=1000, null=True)), ('description', models.CharField(blank=True, max_length=5000, null=True)), ('who', models.CharField(blank=True, max_length=5000, null=True)), ('made_with', models.CharField(blank=True, max_length=1000, null=True)), ], ), migrations.CreateModel( name='PrePackIngredients', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ingredient', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.Ingredient')), ('prepack', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.PrePack')), ], ), migrations.CreateModel( name='Recipe', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('mandatory_ingredient', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.Ingredient')), ('skin_concern', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='facepackwizard.SkinConcern')), ('skin_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='facepackwizard.SkinType')), ], ), migrations.CreateModel( name='SkinTypeConcernIngredient', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ingredient', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.Ingredient')), ('skin_concern', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='facepackwizard.SkinConcern')), ('skin_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='facepackwizard.SkinType')), ], ), migrations.CreateModel( name='SkinTypeIngredient', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ingredient', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.Ingredient')), ('skin_type', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='facepackwizard.SkinType')), ], ), migrations.CreateModel( name='FacePack', fields=[ ('item_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='home.Item')), ('image', models.FileField(null=True, upload_to='images/prepacks/')), ('made_with', models.CharField(blank=True, max_length=5000, null=True)), ('description', models.CharField(blank=True, max_length=5000, null=True)), ('base', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.Base')), ('mixing_agent', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.MixingAgent')), ], bases=('home.item',), ), migrations.AddField( model_name='customfacepack', name='optional_ingredient', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='home.Ingredient'), ), migrations.AddField( model_name='customfacepack', name='questionnaire', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='facepackwizard.QuestionnaireUserData'), ), migrations.AddField( model_name='customfacepack', name='recipe', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='home.Recipe'), ), migrations.AddField( model_name='customfacepack', name='user', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='prepack', name='facepack', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.FacePack'), ), migrations.AddField( model_name='customfacepack', name='facepack', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='home.FacePack'), ), ]

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1

0

1

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null

0

5

95f63a98ad2fa4122722acca1ebf6aaac588b8fb

86

py

Python

home/admin.py

Sandaru95/docinease

607560d2fd0bd5900d6d72856d502596a3533d8c

[ "Apache-2.0" ]

null

home/admin.py

Sandaru95/docinease

607560d2fd0bd5900d6d72856d502596a3533d8c

[ "Apache-2.0" ]

null

home/admin.py

Sandaru95/docinease

607560d2fd0bd5900d6d72856d502596a3533d8c

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import HwPdf admin.site.register(HwPdf)

21.5

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null

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1

0

1

0

5

251ffb802417577b9f08207c5fa339bbabea82dc

13,442

py

Python

src/predictive_model/classification/tests/test_classification.py

WilliamsRizzi/ProcessMiningUNIPD2019_20

02b761873c5883d9e34c4d7077f82246d5da5315

[ "MIT" ]

null

src/predictive_model/classification/tests/test_classification.py

WilliamsRizzi/ProcessMiningUNIPD2019_20

02b761873c5883d9e34c4d7077f82246d5da5315

[ "MIT" ]

6

2020-01-28T23:07:17.000Z

2022-02-10T00:41:56.000Z

src/predictive_model/classification/tests/test_classification.py

WilliamsRizzi/ProcessMiningUNIPD2019_20

02b761873c5883d9e34c4d7077f82246d5da5315

[ "MIT" ]

null

""" classification tests """ import itertools import unittest from django.test import TestCase from src.clustering.models import ClusteringMethods from src.core.core import calculate from src.encoding.models import ValueEncodings from src.jobs.tasks import prediction_task from src.labelling.models import LabelTypes, ThresholdTypes from src.predictive_model.classification.models import ClassificationMethods from src.utils.tests_utils import create_test_job, create_test_encoding, create_test_labelling, \ create_test_predictive_model, create_test_clustering class TestClassification(TestCase): @unittest.skip('needs refactoring') def test_no_exceptions(self): filtered_labels = [enum.value for enum in LabelTypes] filtered_classification_methods = [enum.value for enum in ClassificationMethods] filtered_encoding_methods = [enum.value for enum in ValueEncodings] filtered_padding = [True, False] choices = [filtered_encoding_methods, filtered_padding, filtered_classification_methods, filtered_labels] job_combinations = list(itertools.product(*choices)) for (encoding, padding, method, label) in job_combinations: print(encoding, padding, method, label) if method == 'nn' and (padding == False or label == LabelTypes.ATTRIBUTE_STRING.value): pass job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=method), encoding=create_test_encoding(value_encoding=encoding, padding=padding), labelling=create_test_labelling(label_type=label) ) # with HidePrints(): calculate(job) def test_prediction_task(self): job = create_test_job() prediction_task(job.id) job.refresh_from_db() self.assertEqual('completed', job.status) def test_prediction_task_save_model(self): job = create_test_job(create_models=True) prediction_task(job.id) job.refresh_from_db() self.assertEqual('completed', job.status) self.assertIsNotNone(job.predictive_model.model_path) def test_prediction_task_save_model_clustering(self): job = create_test_job(create_models=True, clustering=create_test_clustering(clustering_type=ClusteringMethods.KMEANS.value)) prediction_task(job.id) job.refresh_from_db() self.assertEqual('completed', job.status) self.assertIsNotNone(job.predictive_model.model_path) self.assertIsNotNone(job.clustering.model_path) @staticmethod def results(): return {'f1score': 0.66666666666666663, 'acc': 0.5, 'auc': 0.16666666666666666, 'false_negative': 0, 'false_positive': 1, 'true_positive': 1, 'true_negative': 0, 'precision': 1.0, 'recall': 0.5} @staticmethod def results2(): return {'f1score': 0.0, 'acc': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'precision': 0.0, 'recall': 0.0, 'auc': 0.0} @staticmethod def results3(): return {'f1score': 0.3333333333333333, 'acc': 0.5, 'true_positive': 0, 'true_negative': 1, 'false_negative': 1, 'false_positive': 0, 'precision': 0.25, 'recall': 0.5, 'auc': 0.5} def test_class_knn(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.KNN.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_class_randomForest(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.RANDOM_FOREST.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, self.results2()) def test_class_decisionTree(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.DECISION_TREE.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_class_xgboost(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.XGBOOST.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_class_nb(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.MULTINOMIAL_NAIVE_BAYES.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_class_hoeff(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.HOEFFDING_TREE.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_class_ada(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.ADAPTIVE_TREE.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_class_sgd(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.SGDCLASSIFIER.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_class_perc(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.PERCEPTRON.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_next_activity_DecisionTree(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.DECISION_TREE.value), labelling=create_test_labelling(label_type=LabelTypes.NEXT_ACTIVITY.value), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, self.results3()) def test_class_nn(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.NN.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertIn('f1score', result) self.assertIn('acc', result) self.assertIn('precision', result) self.assertIn('recall', result) self.assertIn('true_positive', result) self.assertIn('true_negative', result) self.assertIn('false_negative', result) self.assertIn('false_positive', result) self.assertIn('auc', result) def test_class_nn_binary(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.NN.value), labelling=create_test_labelling(label_type=LabelTypes.REMAINING_TIME.value, threshold_type=ThresholdTypes.THRESHOLD_MEAN.value), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value) ) result, _ = calculate(job) del result['elapsed_time'] self.assertDictEqual(result, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) def test_update_nb(self): job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.HOEFFDING_TREE.value), labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=create_test_clustering(clustering_type=ClusteringMethods.NO_CLUSTER.value), create_models=True ) result1, _ = calculate(job) job = create_test_job( predictive_model=create_test_predictive_model(prediction_method=ClassificationMethods.HOEFFDING_TREE.value), encoding=job.encoding, labelling=create_test_labelling(label_type=LabelTypes.ATTRIBUTE_STRING.value, attribute_name='concept:name'), clustering=job.clustering, incremental_train=job ) result2, _ = calculate(job) del result1['elapsed_time'] del result2['elapsed_time'] self.assertDictEqual(result1, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0}) self.assertDictEqual(result2, {'f1score': 0.0, 'acc': 0.0, 'precision': 0.0, 'recall': 0.0, 'true_positive': 0, 'true_negative': 0, 'false_negative': 2, 'false_positive': 0, 'auc': 0.0})

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193

0.663443

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13,442

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0.722294

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0.228612

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false

0.004695

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0.014085

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0.004695

0

null

0

1

0

null

0

5

25249726774d6469b92fdb6d99c625e6ac104cf6

29

py

Python

data/datasets/__init__.py

matejgrcic/Distance-based-OOD

709ff5e0cec95489d20571d2b20637c04c13baad

[ "MIT" ]

2

2022-01-17T07:24:39.000Z

2022-01-30T21:50:10.000Z

data/datasets/__init__.py

matejgrcic/Distance-based-OOD

709ff5e0cec95489d20571d2b20637c04c13baad

[ "MIT" ]

null

data/datasets/__init__.py

matejgrcic/Distance-based-OOD

709ff5e0cec95489d20571d2b20637c04c13baad

[ "MIT" ]

null

from .lost_and_found import *

29

0.827586

5

29

4.4

1

0

0.103448

29

1

29

0.846154

0

1

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true

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1

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null

0

1

0

null

0

1

0

1

0

5

6c0d255c716f7d4fa211bd8be77803be72e3c11e

139

py

Python

idm/commands/ignore_messages.py

ruslanvolov6667/ID

d2e2e0d8764bb9bc9caad163d69de03972cb5380

[ "MIT" ]

1

2020-07-16T00:16:06.000Z

idm/commands/ignore_messages.py

ruslanvolov6667/ID

d2e2e0d8764bb9bc9caad163d69de03972cb5380

[ "MIT" ]

null

idm/commands/ignore_messages.py

ruslanvolov6667/ID

d2e2e0d8764bb9bc9caad163d69de03972cb5380

[ "MIT" ]

null

from ..objects import dp, Event @dp.event_handle(dp.Methods.IGNORE_MESSAGES) def ignore_messages(event: Event) -> str: return "ok"

27.8

45

0.726619

20

139

4.9

0.65

0.142857

0

0.151079

139

5

46

27.8

0.830508

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0

1

0.25

false

0

0.25

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

5

6c386527f248a7e6a23ac3baadfaf4e95bd92b23

145

py

Python

math/sum_of_digits/python/sum_of_digits_oneliner.py

CarbonDDR/al-go-rithms

8e65affbe812931b7dde0e2933eb06c0f44b4130

[ "CC0-1.0" ]

1,253

2017-06-06T07:19:25.000Z

2022-03-30T17:07:58.000Z

math/sum_of_digits/python/sum_of_digits_oneliner.py

rishabh99-rc/al-go-rithms

4df20d7ef7598fda4bc89101f9a99aac94cdd794

[ "CC0-1.0" ]

554

2017-09-29T18:56:01.000Z

2022-02-21T15:48:13.000Z

math/sum_of_digits/python/sum_of_digits_oneliner.py

rishabh99-rc/al-go-rithms

4df20d7ef7598fda4bc89101f9a99aac94cdd794

[ "CC0-1.0" ]

2,226

2017-09-29T19:59:59.000Z

2022-03-25T08:59:55.000Z

import sys def sum_of_digits(n): return sum(int(x) for x in list(str(n))) if __name__ == '__main__': print(sum_of_digits(sys.argv[1]))

18.125

44

0.668966

27

145

3.148148

0.740741

0.117647

0.258824

0

0.008333

0.172414

145

7

45

20.714286

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0

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0

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0.6

0.2

1

0

null

0

1

0

1

0

null

0

1

0

5

6677aa533196fa3c10a086efbe04f81944fe7cd9

136

py

Python

pf_xarray/__init__.py

wh3248/pf-xarray

f971e0c3e9962958fcf807e45d2623a0784cba8c

[ "Apache-2.0" ]

null

pf_xarray/__init__.py

wh3248/pf-xarray

f971e0c3e9962958fcf807e45d2623a0784cba8c

[ "Apache-2.0" ]

12

2021-09-24T01:04:08.000Z

2022-01-19T16:41:21.000Z

pf_xarray/__init__.py

wh3248/pf-xarray

f971e0c3e9962958fcf807e45d2623a0784cba8c

[ "Apache-2.0" ]

1

2022-01-19T01:08:44.000Z

from .pf_backend import ParflowBackendEntrypoint, ParflowBackendArray from .io import ParflowBinaryReader, read_pfb, read_stack_of_pfbs

45.333333

69

0.882353

16

136

7.1875

0.8125

0

0.080882

136

2

70

68

0.92

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

667ea735f8aaf7f5a13451778d6b77dcbced37e4

1,233

py

Python

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GLX/EXT/import_context.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GLX/EXT/import_context.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/GLX/EXT/import_context.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

'''Autogenerated by xml_generate script, do not edit!''' from OpenGL import platform as _p, arrays # Code generation uses this from OpenGL.raw.GLX import _types as _cs # End users want this... from OpenGL.raw.GLX._types import * from OpenGL.raw.GLX import _errors from OpenGL.constant import Constant as _C import ctypes _EXTENSION_NAME = 'GLX_EXT_import_context' def _f( function ): return _p.createFunction( function,_p.PLATFORM.GLX,'GLX_EXT_import_context',error_checker=_errors._error_checker) GLX_SCREEN_EXT=_C('GLX_SCREEN_EXT',0x800C) GLX_SHARE_CONTEXT_EXT=_C('GLX_SHARE_CONTEXT_EXT',0x800A) GLX_VISUAL_ID_EXT=_C('GLX_VISUAL_ID_EXT',0x800B) @_f @_p.types(None,ctypes.POINTER(_cs.Display),_cs.GLXContext) def glXFreeContextEXT(dpy,context):pass @_f @_p.types(_cs.GLXContextID,_cs.GLXContext) def glXGetContextIDEXT(context):pass @_f @_p.types(ctypes.POINTER(_cs.Display),) def glXGetCurrentDisplayEXT():pass @_f @_p.types(_cs.GLXContext,ctypes.POINTER(_cs.Display),_cs.GLXContextID) def glXImportContextEXT(dpy,contextID):pass @_f @_p.types(_cs.c_int,ctypes.POINTER(_cs.Display),_cs.GLXContext,_cs.c_int,ctypes.POINTER(_cs.c_int)) def glXQueryContextInfoEXT(dpy,context,attribute,value):pass

38.53125

118

0.791565

184

1,233

4.940217

0.347826

0.055006

0.038504

0.09681

0.273927

0.10451

0

0.010733

0.093268

1,233

31

119

39.774194

0.802326

0.081103

0

0.185185

1

0

0.087671

0.059361

0

0.016438

0

1

0.222222

false

0.185185

0.333333

0.037037

0.592593

0

null

0

1

0

null

0

1

0

1

0

1

0

5

6689a2a20e728f43c6a6a158997b07c69ed38ba9

132

py

Python

TorchUtils/Visualizer/ImageFormatConverter.py

Akasan/TorchUtils

93691addb1d8b3b603805fe1a46d867faf364e9d

[ "MIT" ]

null

TorchUtils/Visualizer/ImageFormatConverter.py

Akasan/TorchUtils

93691addb1d8b3b603805fe1a46d867faf364e9d

[ "MIT" ]

null

TorchUtils/Visualizer/ImageFormatConverter.py

Akasan/TorchUtils

93691addb1d8b3b603805fe1a46d867faf364e9d

[ "MIT" ]

null

import cv2 import numpy as np def pil_to_opencv(img): img = img.transpose((1, 2, 0)) img = img[:, :, ::-1] return img

14.666667

34

0.583333

22

132

3.409091

0.681818

0.24

0

0.05102

0.257576

132

8

35

16.5

0.714286

0

1

0.166667

false

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

66a1eab623a843b4361f3d91097176e1b2ad5613

102

py

Python

sars_dashboard/calls/admin.py

thomasbtf/sars-dashboard

4b98e9549af580c1a1822ccdeb7b81dd1802752a

[ "MIT" ]

null

sars_dashboard/calls/admin.py

thomasbtf/sars-dashboard

4b98e9549af580c1a1822ccdeb7b81dd1802752a

[ "MIT" ]

46

2021-12-11T20:39:41.000Z

2022-03-28T02:27:31.000Z

sars_dashboard/calls/admin.py

thomasbtf/sars-dashboard

4b98e9549af580c1a1822ccdeb7b81dd1802752a

[ "MIT" ]

null

from django.contrib import admin from .models import PangolinCall admin.site.register(PangolinCall)

17

33

0.833333

13

102

6.538462

0.692308

0

0.107843

102

5

34

20.4

0.934066

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

66a3da706df5a4dbb3dbf9011d3ba52fe4a53a11

79

py

Python

secDir/sec_file.py

cvendeirinho/HelloWorld

cee78dc5dfc154cdcbaf8f01cf34c3de50230cdb

[ "Apache-2.0" ]

null

secDir/sec_file.py

cvendeirinho/HelloWorld

cee78dc5dfc154cdcbaf8f01cf34c3de50230cdb

[ "Apache-2.0" ]

null

secDir/sec_file.py

cvendeirinho/HelloWorld

cee78dc5dfc154cdcbaf8f01cf34c3de50230cdb

[ "Apache-2.0" ]

null

print(" sec_file.py on secDir") print(" changing file by adding a new print")

19.75

45

0.721519

14

79

4

0.785714

0

0.164557

79

3

46

26.333333

0.848485

0

0.74359

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

66d281d7b7e88b6e3854465f1b99172a9419946e

5,024

py

Python

test_namara.py

namara-io/namara-python

5b38130339c0f0414f4780c8570fa9b2a771e15a

[ "Apache-2.0" ]

1

2020-01-17T03:55:32.000Z

test_namara.py

namara-io/namara-python

5b38130339c0f0414f4780c8570fa9b2a771e15a

[ "Apache-2.0" ]

9

2017-09-18T19:40:20.000Z

2020-06-04T13:07:24.000Z

test_namara.py

namara-io/namara-python

5b38130339c0f0414f4780c8570fa9b2a771e15a

[ "Apache-2.0" ]

3

2019-02-11T20:22:18.000Z

2020-05-28T05:52:44.000Z

from unittest import TestCase import pandas as pd from mock import Mock from namara import Namara class TestNamara(TestCase): subject = None def setUp(self): self.subject = Namara('myapikey') self.dataset = 'dataset' self.version = 'version' self.organization_id = 'organization_id' self.project_id = 'project_id' def test_get_url(self): path = self.subject.get_url('/organizations/{0}/projects/{1}/data_sets'.format('organization', 'project')) self.assertTrue(path == 'https://api.namara.io/v0/organizations/organization/projects/project/data_sets') def test_is_aggregation(self): options = {'limit': 10, 'operation': 'avg(column_1)'} self.assertTrue(self.subject.is_aggregation(options)) def test_get_where_field_value_greater_than_1200(self): self.subject.get = Mock(return_value=[{u'mnr_region': u'NORTHWEST', u'facility_name': u'RESOLUTE FP CANADA INC.', u'facility_code': 1201, u'location': u'FORT FRANCES', u'facility_type': u'PULP'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'MANITOU FOREST PRODUCTS LTD.', u'facility_code': 1221, u'location': u'EMO', u'facility_type': u'SAWMILL'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'531322 ONTARIO LTD. O/A NICKEL LAKE LUMBER', u'facility_code': 1232, u'location': u'FORT FRANCES', u'facility_type': u'SAWMILL'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'AINSWORTH GP LTD.', u'facility_code': 1240, u'location': u'BARWICK', u'facility_type': u'COMPOSITE'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'RESOLUTE FP CANADA INC.', u'facility_code': 1301, u'location': u'IGNACE', u'facility_type': u'SAWMILL'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'E.&G. CUSTOM SAWING LTD.', u'facility_code': 1410, u'location': u'KENORA', u'facility_type': u'SAWMILL'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'WEYERHAEUSER COMPANY LTD.', u'facility_code': 1422, u'location': u'KENORA', u'facility_type': u'COMPOSITE'}]) response = self.subject.get(self.dataset, self.version, options={'where': 'facility_code > 1200'}) for res in response: if res.get('facility_code') <= 1200: self.assertTrue(False) self.assertTrue(True) def test_get_count(self): self.subject.get = Mock(return_value={u'result': 129}) response = self.subject.get(self.dataset, self.version, options={'operation': 'count(*)'}) self.assertTrue(response.get('result') == 129) def test_valid_output_format(self): self.assertRaises(ValueError, self.subject.get, self.dataset, self.version, output_format='invalid-format') def test_valid_json_output(self): self.subject.get = Mock(return_value=[{u'mnr_region': u'NORTHWEST', u'facility_name': u'RESOLUTE FP CANADA INC.', u'facility_code': 1201, u'location': u'FORT FRANCES', u'facility_type': u'PULP'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'MANITOU FOREST PRODUCTS LTD.', u'facility_code': 1221, u'location': u'EMO', u'facility_type': u'SAWMILL'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'531322 ONTARIO LTD. O/A NICKEL LAKE LUMBER', u'facility_code': 1232, u'location': u'FORT FRANCES', u'facility_type': u'SAWMILL'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'AINSWORTH GP LTD.', u'facility_code': 1240, u'location': u'BARWICK', u'facility_type': u'COMPOSITE'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'RESOLUTE FP CANADA INC.', u'facility_code': 1301, u'location': u'IGNACE', u'facility_type': u'SAWMILL'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'E.&G. CUSTOM SAWING LTD.', u'facility_code': 1410, u'location': u'KENORA', u'facility_type': u'SAWMILL'}, {u'mnr_region': u'NORTHWEST', u'facility_name': u'WEYERHAEUSER COMPANY LTD.', u'facility_code': 1422, u'location': u'KENORA', u'facility_type': u'COMPOSITE'}]) response = self.subject.get(self.dataset, self.version, options={'operation': 'count(*)'}, output_format='json') self.assertTrue(isinstance(response, list)) def test_valid_get_dataframe_ouput(self): self.subject.get = Mock(return_value=pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})) response = self.subject.get(self.dataset, self.version, options={'operation': 'count(*)'}, output_format='dataframe') self.assertTrue(isinstance(response, pd.DataFrame)) def test_valid_export_dataframe_ouput(self): self.subject.export = Mock(return_value=pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})) response = self.subject.export(self.dataset, self.organization_id, self.project_id, output_format='dataframe') self.assertTrue(isinstance(response, pd.DataFrame)) def test_valid_export_url_ouput(self): self.subject.export = Mock(return_value='https://storage.googleapis.com/namara/exports/x-2233444/file-name.csv') response = self.subject.export(self.dataset, self.organization_id, self.project_id) self.assertTrue(isinstance(response, str))

81.032258

1,163

0.699443

723

5,024

4.705394

0.188105

0.111111

0.041152

0.045267

0.72281

0.708113

0.69224

0.662551

0

0.025541

0.134952

5,024

61

1,164

82.360656

0.757248

0

0.085106

0

0.021277

0.38336

0.008161

0

0.212766

1

0.212766

false

0

0.085106

0

0.340426

0

null

0

1

0

1

0

1

0

null

0

1

0

5

dd0b54dd89b94aa4a262ec473ffccb70936f4943

356

py

Python

req_analysis/context_cluster.py

thomas-bc/mms-autocref

1db6697f929a1c782c902923209389e337ec6961

[ "Apache-2.0" ]

null

req_analysis/context_cluster.py

thomas-bc/mms-autocref

1db6697f929a1c782c902923209389e337ec6961

[ "Apache-2.0" ]

null

req_analysis/context_cluster.py

thomas-bc/mms-autocref

1db6697f929a1c782c902923209389e337ec6961

[ "Apache-2.0" ]

null

from req_analysis.lib.neo4j_wrapper import get_node_context class ContextCluster(): def __init__(self, source_node): self.source_node = source_node self.context = [neighbor['context'] for neighbor in get_node_context(self.source_node.graph, self.source_node)] def get_context(self): return self.context

20.941176

119

0.702247

46

356

5.086957

0.456522

0.213675

0.239316

0

0.003584

0.216292

356

17

120

20.941176

0.835125

0

0.019608

0

1

0.285714

false

0

0.142857

0.714286

0

null

1

0

null

0

1

0

1

0

5

dd0e5aa5f780252be49f22fc21f3a8383ed9b943

154

py

Python

schemas/error.py

jsmsalt/jobs-api

a2c26522bf7f997558f6c6608524187785c830e5

[ "MIT" ]

null

schemas/error.py

jsmsalt/jobs-api

a2c26522bf7f997558f6c6608524187785c830e5

[ "MIT" ]

5

2021-11-29T04:40:14.000Z

2021-11-29T12:33:44.000Z

schemas/error.py

jsmsalt/jobs-api

a2c26522bf7f997558f6c6608524187785c830e5

[ "MIT" ]

null

"""API schemas for error messages.""" from pydantic import BaseModel class ErrorSchema(BaseModel): """Schema for error message""" detail: str

15.4

37

0.701299

18

154

6

0.833333

0.148148

0

0.188312

154

9

38

17.111111

0.864

0.363636

0

1

0

true

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

dd5a351ae825a86ee92f9627c0da3c37b8f544fc

194

py

Python

output/models/ms_data/datatypes/facets/base64_binary/base64_binary_min_length001_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

1

2021-08-14T17:59:21.000Z

output/models/ms_data/datatypes/facets/base64_binary/base64_binary_min_length001_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

4

2020-02-12T21:30:44.000Z

2020-04-15T20:06:46.000Z

output/models/ms_data/datatypes/facets/base64_binary/base64_binary_min_length001_xsd/__init__.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

null

from output.models.ms_data.datatypes.facets.base64_binary.base64_binary_min_length001_xsd.base64_binary_min_length001 import ( FooType, Test, ) __all__ = [ "FooType", "Test", ]

19.4

126

0.742268

24

194

5.458333

0.666667

0.274809

0.229008

0.366412

0

0.073171

0.154639

194

9

127

21.555556

0.72561

0

0.056701

0

1

0

false

0

0.125

0

0.125

0

1

0

null

1

0

1

0

null

0

5

dd75be8651ea6a3c3dc99596b20db16859a1848a

28

py

Python

googleapp/__init__.py

liamcryan/simplgmail

0d4288b7f50d01872f9f32eb92beddf24a629899

[ "MIT" ]

null

googleapp/__init__.py

liamcryan/simplgmail

0d4288b7f50d01872f9f32eb92beddf24a629899

[ "MIT" ]

null

googleapp/__init__.py

liamcryan/simplgmail

0d4288b7f50d01872f9f32eb92beddf24a629899

[ "MIT" ]

null

from googleapp.api import *

14

27

0.785714

4

28

5.5

1

0

0.142857

28

1

28

0.916667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

dd7c3e152e789a9977627de0f1fb42e5fc9c7807

173

py

Python

popgen/instruments/__init__.py

mmarchini/popgen

fb4459857cf8e0f6073247b8bee7a002541ea524

[ "MIT" ]

1

2022-01-11T07:13:49.000Z

popgen/instruments/__init__.py

mmarchini/popgen

fb4459857cf8e0f6073247b8bee7a002541ea524

[ "MIT" ]

null

popgen/instruments/__init__.py

mmarchini/popgen

fb4459857cf8e0f6073247b8bee7a002541ea524

[ "MIT" ]

null

from base import * from percussion import * from guitars import * from orchestra import * from pianos import * from saxes import * from techno import * from others import *

19.222222

24

0.768786

24

173

5.541667

0.416667

0.526316

0

0.184971

173

8

25

21.625

0.943262

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

06ba86a3986e1a8e59f662d23b74a153c838ade9

164

py

Python

lanro/environments/__init__.py

knowledgetechnologyuhh/lannro-gym

ac3afcf7d8ed854d75368135b023edf055644dd2

[ "MIT" ]

null

lanro/environments/__init__.py

knowledgetechnologyuhh/lannro-gym

ac3afcf7d8ed854d75368135b023edf055644dd2

[ "MIT" ]

null

lanro/environments/__init__.py

knowledgetechnologyuhh/lannro-gym

ac3afcf7d8ed854d75368135b023edf055644dd2

[ "MIT" ]

null

from .panda import PandaReachEnv, PandaPushEnv, PandaSlideEnv, PandaStackEnv from .panda_nl import PandaNLReachEnv, PandaNLPushEnv, PandaNLGraspEnv, PandaNLLiftEnv

54.666667

86

0.865854

15

164

9.4

0.8

0.12766

0

0.085366

164

2

87

82

0.94

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b071e2dd79e3721344ec1caaa760ea9df2f5ed7d

125

py

Python

src/cowork/tests/test_dummy.py

jmaupetit/survey

79106ce3d8e0e3b00579645a510cddd3a248aa83

[ "MIT" ]

null

src/cowork/tests/test_dummy.py

jmaupetit/survey

79106ce3d8e0e3b00579645a510cddd3a248aa83

[ "MIT" ]

null

src/cowork/tests/test_dummy.py

jmaupetit/survey

79106ce3d8e0e3b00579645a510cddd3a248aa83

[ "MIT" ]

null

"""Dummy test module to remove""" def test_dummy(): """A dummy test to remove to validate test runner configuration"""

20.833333

70

0.696

18

125

4.777778

0.555556

0.209302

0

0.184

125

5

71

25

0.843137

0.704

0

1

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

5

b093d499a76774f34c86ea7f0cfc18ef6dfe6e3d

26

py

Python

subb/__init__.py

MoserMichael/subby

053df8d8c23a3fcf7d8fd611262dc52e8f8c4b4c

[ "MIT" ]

1

2021-12-17T01:27:56.000Z

subb/__init__.py

MoserMichael/subb

053df8d8c23a3fcf7d8fd611262dc52e8f8c4b4c

[ "MIT" ]

null

subb/__init__.py

MoserMichael/subb

053df8d8c23a3fcf7d8fd611262dc52e8f8c4b4c

[ "MIT" ]

null

from .subby import *

5.2

22

0.576923

3

26

5

1

0

0.346154

26

4

23

6.5

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jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

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2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/create_tests/create_tst.expected.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

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2018-08-09T01:12:03.000Z

python/testData/create_tests/create_tst.expected.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

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2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from unittest import TestCase class Spam(TestCase): def eggs(self): self.fail() def eggs_and_ham(self): self.fail()

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examples/__init__.py

samir-joshi/tmtoolkit

41f5cbddad539107016680d132ca1ee9ebe49b5c

[ "Apache-2.0" ]

167

2017-11-11T11:49:32.000Z

2022-03-15T11:45:11.000Z

examples/__init__.py

samir-joshi/tmtoolkit

41f5cbddad539107016680d132ca1ee9ebe49b5c

[ "Apache-2.0" ]

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2017-11-27T22:44:09.000Z

2022-02-23T03:31:30.000Z

examples/__init__.py

samir-joshi/tmtoolkit

41f5cbddad539107016680d132ca1ee9ebe49b5c

[ "Apache-2.0" ]

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2018-03-27T13:00:41.000Z

2022-03-28T12:15:33.000Z

""" tmtoolkit – examples Markus Konrad <markus.konrad@wzb.eu> """

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Python

src/core/templatetags/pycontw_tools.py

pcwang23/pycon.tw

81d929d4395568378dc11c10def087c27fe07830

[ "MIT" ]

1

2019-04-04T12:17:26.000Z

src/core/templatetags/pycontw_tools.py

pcwang23/pycon.tw

81d929d4395568378dc11c10def087c27fe07830

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null

src/core/templatetags/pycontw_tools.py

pcwang23/pycon.tw

81d929d4395568378dc11c10def087c27fe07830

[ "MIT" ]

2

2019-04-04T12:18:04.000Z

2019-04-14T13:57:57.000Z

from django.template import Library register = Library() @register.filter def message_bootstrap_class_str(message): return ' '.join('alert-' + tag for tag in message.tags.split(' '))

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py

Python

timeline/admin.py

akshaya9/fosswebsite

5669a90ebb1fea2213c207a938236fba7643375c

[ "MIT" ]

369

2017-10-02T03:04:24.000Z

2022-03-26T10:54:55.000Z

timeline/admin.py

akshaya9/fosswebsite

5669a90ebb1fea2213c207a938236fba7643375c

[ "MIT" ]

121

2017-10-01T14:21:48.000Z

2018-11-08T16:57:26.000Z

timeline/admin.py

akshaya9/fosswebsite

5669a90ebb1fea2213c207a938236fba7643375c

[ "MIT" ]

69

2017-10-13T11:04:38.000Z

2021-12-08T06:23:19.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.contrib import admin # Register your models here. from timeline.models import AlumniInfo admin.site.register(AlumniInfo)

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