xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

387eb64186d9be38a6ef7eb92362e60714c12f89

981

py

Python

src/custom_user_app/urls.py

JackCX777/user_polls_2

fa8fe9ad4c1fa36b4ea5bb402b3d485852a98d3b

[ "BSD-3-Clause" ]

null

src/custom_user_app/urls.py

JackCX777/user_polls_2

fa8fe9ad4c1fa36b4ea5bb402b3d485852a98d3b

[ "BSD-3-Clause" ]

null

src/custom_user_app/urls.py

JackCX777/user_polls_2

fa8fe9ad4c1fa36b4ea5bb402b3d485852a98d3b

[ "BSD-3-Clause" ]

null

from django.urls import path from custom_user_app.views import (CustomUserLoginView, CustomUserLogoutView, CustomUserCreationView, CustomUserUpdateView, CustomUserPasswordChangeView, CustomUserPasswordChangeDoneView) urlpatterns = [ path('login/', CustomUserLoginView.as_view(), name='user_login'), path('logout/', CustomUserLogoutView.as_view(), name='user_logout'), path('registration/', CustomUserCreationView.as_view(), name='user_registration'), path('profile/<int:profile_id>', CustomUserUpdateView.as_view(), name='user_profile'), path('password_change/<int:profile_id>', CustomUserPasswordChangeView.as_view(), name='user_password_change'), path('password_change_done/<int:profile_id>', CustomUserPasswordChangeDoneView.as_view(), name='password_change_done'), ]

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387f0112c992c1eb1d347a52c37faadb884c7c51

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py

Python

helpme/migrations/0003_auto_20200901_2025.py

renderbox/django-help-me

6efdaf715d2770305a7187c008354e0f784f9f5b

[ "MIT" ]

1

2020-09-30T22:21:02.000Z

helpme/migrations/0003_auto_20200901_2025.py

renderbox/django-help-me

6efdaf715d2770305a7187c008354e0f784f9f5b

[ "MIT" ]

8

2020-09-11T00:50:57.000Z

2022-03-30T22:10:45.000Z

helpme/migrations/0003_auto_20200901_2025.py

renderbox/django-help-me

6efdaf715d2770305a7187c008354e0f784f9f5b

[ "MIT" ]

null

# Generated by Django 3.1 on 2020-09-01 20:25 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('sites', '0002_alter_domain_unique'), ('helpme', '0002_category_question'), ] operations = [ migrations.AddField( model_name='category', name='excluded_sites', field=models.ManyToManyField(blank=True, related_name='excluded_categories', to='sites.Site'), ), migrations.AddField( model_name='category', name='global_category', field=models.BooleanField(default=False), ), migrations.AddField( model_name='question', name='excluded_sites', field=models.ManyToManyField(blank=True, related_name='excluded_questions', to='sites.Site'), ), migrations.AddField( model_name='question', name='global_question', field=models.BooleanField(default=False), ), migrations.AddField( model_name='ticket', name='question', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='helpme.question'), ), migrations.AlterField( model_name='category', name='sites', field=models.ManyToManyField(related_name='categories', to='sites.Site'), ), migrations.AlterField( model_name='question', name='sites', field=models.ManyToManyField(blank=True, related_name='questions', to='sites.Site'), ), ]

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38823e27450525f05ac5a168826d916d3ea60ed9

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py

Python

projects/migrations/0005_alter_location_location.py

Gomax-07/gallery

934b667d79d9a98e43648864a420cc559e9456e6

[ "Unlicense" ]

null

projects/migrations/0005_alter_location_location.py

Gomax-07/gallery

934b667d79d9a98e43648864a420cc559e9456e6

[ "Unlicense" ]

null

projects/migrations/0005_alter_location_location.py

Gomax-07/gallery

934b667d79d9a98e43648864a420cc559e9456e6

[ "Unlicense" ]

null

# Generated by Django 3.2.7 on 2021-09-07 02:28 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('projects', '0004_location'), ] operations = [ migrations.AlterField( model_name='location', name='location', field=models.CharField(max_length=150), ), ]

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38838a2148cd8410cf38dde80c33588255de0106

487

py

Python

CoquoBot/order_manager.py

Josef212/CoquoBot

adb9744b04454a4591237937dfb2c9f00da30077

[ "MIT" ]

null

CoquoBot/order_manager.py

Josef212/CoquoBot

adb9744b04454a4591237937dfb2c9f00da30077

[ "MIT" ]

null

CoquoBot/order_manager.py

Josef212/CoquoBot

adb9744b04454a4591237937dfb2c9f00da30077

[ "MIT" ]

null

from order import Order class OrderManager: def __init__(self): self.orders = {} def user_has_any_order(self, chat_id: int, user: str) -> bool: order = self.get_order(chat_id) return order.user_has_any_order(user) def get_order(self, id: int) -> Order: if id not in self.orders: self.orders[id] = Order() return self.orders[id] def reset_order(self, id: int) -> None: self.get_order(id).reset()

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null

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null

0

1

0

1

388a33a4c640a949c0d9f3e5677661be8943cc55

4,755

py

Python

tests/components/unifi/test_services.py

rahulsinghsss/core

1156275db4e53a556ef58bb2038ae7d8ad103556

[ "Apache-2.0" ]

1

2021-12-30T09:37:48.000Z

tests/components/unifi/test_services.py

rahulsinghsss/core

1156275db4e53a556ef58bb2038ae7d8ad103556

[ "Apache-2.0" ]

18

2021-11-03T06:21:46.000Z

2022-03-31T06:21:15.000Z

tests/components/unifi/test_services.py

rahulsinghsss/core

1156275db4e53a556ef58bb2038ae7d8ad103556

[ "Apache-2.0" ]

1

2021-12-30T09:37:53.000Z

"""deCONZ service tests.""" from unittest.mock import Mock, patch from homeassistant.components.unifi.const import DOMAIN as UNIFI_DOMAIN from homeassistant.components.unifi.services import ( SERVICE_REMOVE_CLIENTS, UNIFI_SERVICES, async_setup_services, async_unload_services, ) from .test_controller import setup_unifi_integration async def test_service_setup(hass): """Verify service setup works.""" assert UNIFI_SERVICES not in hass.data with patch( "homeassistant.core.ServiceRegistry.async_register", return_value=Mock(True) ) as async_register: await async_setup_services(hass) assert hass.data[UNIFI_SERVICES] is True assert async_register.call_count == 1 async def test_service_setup_already_registered(hass): """Make sure that services are only registered once.""" hass.data[UNIFI_SERVICES] = True with patch( "homeassistant.core.ServiceRegistry.async_register", return_value=Mock(True) ) as async_register: await async_setup_services(hass) async_register.assert_not_called() async def test_service_unload(hass): """Verify service unload works.""" hass.data[UNIFI_SERVICES] = True with patch( "homeassistant.core.ServiceRegistry.async_remove", return_value=Mock(True) ) as async_remove: await async_unload_services(hass) assert hass.data[UNIFI_SERVICES] is False assert async_remove.call_count == 1 async def test_service_unload_not_registered(hass): """Make sure that services can only be unloaded once.""" with patch( "homeassistant.core.ServiceRegistry.async_remove", return_value=Mock(True) ) as async_remove: await async_unload_services(hass) assert UNIFI_SERVICES not in hass.data async_remove.assert_not_called() async def test_remove_clients(hass, aioclient_mock): """Verify removing different variations of clients work.""" clients = [ { "first_seen": 100, "last_seen": 500, "mac": "00:00:00:00:00:01", }, { "first_seen": 100, "last_seen": 1100, "mac": "00:00:00:00:00:02", }, { "first_seen": 100, "last_seen": 500, "fixed_ip": "1.2.3.4", "mac": "00:00:00:00:00:03", }, { "first_seen": 100, "last_seen": 500, "hostname": "hostname", "mac": "00:00:00:00:00:04", }, { "first_seen": 100, "last_seen": 500, "name": "name", "mac": "00:00:00:00:00:05", }, ] config_entry = await setup_unifi_integration( hass, aioclient_mock, clients_all_response=clients ) controller = hass.data[UNIFI_DOMAIN][config_entry.entry_id] aioclient_mock.clear_requests() aioclient_mock.post( f"https://{controller.host}:1234/api/s/{controller.site}/cmd/stamgr", ) await hass.services.async_call(UNIFI_DOMAIN, SERVICE_REMOVE_CLIENTS, blocking=True) assert aioclient_mock.mock_calls[0][2] == { "cmd": "forget-sta", "macs": ["00:00:00:00:00:01"], } async def test_remove_clients_controller_unavailable(hass, aioclient_mock): """Verify no call is made if controller is unavailable.""" clients = [ { "first_seen": 100, "last_seen": 500, "mac": "00:00:00:00:00:01", } ] config_entry = await setup_unifi_integration( hass, aioclient_mock, clients_all_response=clients ) controller = hass.data[UNIFI_DOMAIN][config_entry.entry_id] controller.available = False aioclient_mock.clear_requests() aioclient_mock.post( f"https://{controller.host}:1234/api/s/{controller.site}/cmd/stamgr", ) await hass.services.async_call(UNIFI_DOMAIN, SERVICE_REMOVE_CLIENTS, blocking=True) assert aioclient_mock.call_count == 0 async def test_remove_clients_no_call_on_empty_list(hass, aioclient_mock): """Verify no call is made if no fitting client has been added to the list.""" clients = [ { "first_seen": 100, "last_seen": 1100, "mac": "00:00:00:00:00:01", } ] config_entry = await setup_unifi_integration( hass, aioclient_mock, clients_all_response=clients ) controller = hass.data[UNIFI_DOMAIN][config_entry.entry_id] aioclient_mock.clear_requests() aioclient_mock.post( f"https://{controller.host}:1234/api/s/{controller.site}/cmd/stamgr", ) await hass.services.async_call(UNIFI_DOMAIN, SERVICE_REMOVE_CLIENTS, blocking=True) assert aioclient_mock.call_count == 0

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388a3e1c967bd69504b07a1ff1bfdb07f5722281

632

py

Python

{{cookiecutter.directory_name}}/config/settings/development.py

ragnarok22/cookiecutter-django

082196dde5ad932bf99bee138dc80de8c3823e03

[ "Apache-2.0" ]

2

2021-07-23T18:58:49.000Z

2022-02-23T18:44:40.000Z

{{cookiecutter.directory_name}}/config/settings/development.py

ragnarok22/cookiecutter-django

082196dde5ad932bf99bee138dc80de8c3823e03

[ "Apache-2.0" ]

null

{{cookiecutter.directory_name}}/config/settings/development.py

ragnarok22/cookiecutter-django

082196dde5ad932bf99bee138dc80de8c3823e03

[ "Apache-2.0" ]

null

""" This is the settings file that you use when you're working on the project locally. Local development-specific include DEBUG mode, log level, and activation of developer tools like django-debug-toolsbar """ from .base import * # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'qov#ce&bl3z8@ymehv1byt^beru%el-0wjo%e#1q8#og6331ik' ALLOWED_HOSTS = ['*'] MEDIA_ROOT = os.path.join(BASE_DIR, '{{cookiecutter.directory_name}}', 'media') # email settings EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'

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3892d5674879bbcf71468a4b3b615df537552e19

729

py

Python

HackTheVote/2020/fileshare/cleaner.py

mystickev/ctf-archives

89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e

[ "MIT" ]

1

2021-11-02T20:53:58.000Z

HackTheVote/2020/fileshare/cleaner.py

ruhan-islam/ctf-archives

8c2bf6a608c821314d1a1cfaa05a6cccef8e3103

[ "MIT" ]

null

HackTheVote/2020/fileshare/cleaner.py

ruhan-islam/ctf-archives

8c2bf6a608c821314d1a1cfaa05a6cccef8e3103

[ "MIT" ]

1

2021-12-19T11:06:24.000Z

import os, time, shutil def get_used_dirs(): pids = [p for p in os.listdir("/proc") if p.isnumeric()] res = set() for p in pids: try: path = os.path.realpath("/proc/%s/cwd"%p) if path.startswith("/tmp/fileshare."): res.add(path) except: pass return res while True: try: dirs = ["/tmp/"+d for d in os.listdir("/tmp") if d.startswith("fileshare.")] used = get_used_dirs() for d in dirs: if d not in used: try: os.system("umount %s/proc"%d) shutil.rmtree(d) except: pass except: pass time.sleep(5)

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1

389e3359d1c51e16167fb066518dcce270c6cf1d

1,150

py

Python

qa_tool/models.py

pg-irc/pathways-backend

05a8c4e750523d2d081b030a248c5444d1ed7992

[ "BSD-3-Clause" ]

12

2017-08-30T18:21:00.000Z

2021-12-09T04:04:17.000Z

qa_tool/models.py

pg-irc/pathways-backend

05a8c4e750523d2d081b030a248c5444d1ed7992

[ "BSD-3-Clause" ]

424

2017-08-08T18:32:14.000Z

2022-03-30T21:42:51.000Z

qa_tool/models.py

pg-irc/pathways-backend

05a8c4e750523d2d081b030a248c5444d1ed7992

[ "BSD-3-Clause" ]

7

2017-09-29T21:14:37.000Z

2019-12-30T21:07:37.000Z

from django.contrib.gis.db import models from common.models import (RequiredURLField, OptionalTextField, RequiredCharField) from human_services.locations.models import ServiceAtLocation from search.models import Task from users.models import User class Algorithm(models.Model): url = RequiredURLField() name = RequiredCharField(max_length=200) notes = OptionalTextField() class Meta: ordering = ['id'] class SearchLocation(models.Model): name = OptionalTextField() point = models.PointField(blank=True, null=True) class Meta: ordering = ['id'] class RelevancyScore(models.Model): value = models.IntegerField() time_stamp = models.DateTimeField() algorithm = models.ForeignKey(Algorithm, on_delete=models.PROTECT) topic = models.ForeignKey(Task, on_delete=models.PROTECT) search_location = models.ForeignKey(SearchLocation, on_delete=models.PROTECT) user = models.ForeignKey(User, on_delete=models.PROTECT) service_at_location = models.ForeignKey( ServiceAtLocation, on_delete=models.PROTECT) class Meta: ordering = ["id"]

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38a0b921f983b2d2b9365a4bb47c16ebd9b5348e

449

py

Python

wazimap_ng/boundaries/migrations/0007_auto_20200121_0907.py

arghyaiitb/wazimap-ng

2a77860526d865b8fd0c22a2204f121fdb3b28a0

[ "Apache-2.0" ]

11

2019-12-31T20:27:22.000Z

2022-03-10T03:55:38.000Z

wazimap_ng/boundaries/migrations/0007_auto_20200121_0907.py

arghyaiitb/wazimap-ng

2a77860526d865b8fd0c22a2204f121fdb3b28a0

[ "Apache-2.0" ]

164

2020-02-06T15:02:22.000Z

2022-03-30T22:42:00.000Z

wazimap_ng/boundaries/migrations/0007_auto_20200121_0907.py

arghyaiitb/wazimap-ng

2a77860526d865b8fd0c22a2204f121fdb3b28a0

[ "Apache-2.0" ]

16

2020-01-03T20:30:24.000Z

2022-01-11T11:05:15.000Z

# Generated by Django 2.2.8 on 2020-01-21 09:07 import django.contrib.gis.db.models.fields from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('boundaries', '0006_worldborder'), ] operations = [ migrations.AlterField( model_name='worldborder', name='mpoly', field=django.contrib.gis.db.models.fields.PolygonField(srid=4326), ), ]

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38a1aeec73b5c25381b82d560fdb3ca48a37c74c

701

py

Python

autoPyTorch/pipeline/components/setup/network_initializer/NoInit.py

ravinkohli/Auto-PyTorch

a1512d56d4db89133e895e85765e3b72afbfe157

[ "Apache-2.0" ]

1

2021-05-12T10:11:58.000Z

autoPyTorch/pipeline/components/setup/network_initializer/NoInit.py

maxpark/Auto-PyTorch

06e67de5017b4cccad9398e24a3d9f0bd8176da3

[ "Apache-2.0" ]

34

2020-10-06T08:06:46.000Z

2021-01-21T13:23:34.000Z

autoPyTorch/pipeline/components/setup/network_initializer/NoInit.py

maxpark/Auto-PyTorch

06e67de5017b4cccad9398e24a3d9f0bd8176da3

[ "Apache-2.0" ]

1

2020-10-14T12:25:47.000Z

from typing import Callable import torch from autoPyTorch.pipeline.components.setup.network_initializer.base_network_initializer import ( BaseNetworkInitializerComponent ) class NoInit(BaseNetworkInitializerComponent): """ No initialization on the weights/bias """ def weights_init(self) -> Callable: """Returns the actual PyTorch model, that is dynamically created from a self.config object. self.config is a dictionary created form a given config in the config space. It contains the necessary information to build a network. """ def initialization(m: torch.nn.Module) -> None: pass return initialization

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1

38adf5ebd6f269f17c1fa14e7dbf39222e45d753

1,362

py

Python

python/dataProcessing/generatePlots.py

Maplenormandy/list-62x

c1731d0610fdf9e58cb2792d706e8904c549fbd6

[ "MIT" ]

1

2020-11-07T12:40:59.000Z

python/dataProcessing/generatePlots.py

Maplenormandy/list-62x

c1731d0610fdf9e58cb2792d706e8904c549fbd6

[ "MIT" ]

null

python/dataProcessing/generatePlots.py

Maplenormandy/list-62x

c1731d0610fdf9e58cb2792d706e8904c549fbd6

[ "MIT" ]

null

import pandas as pd import matplotlib.pyplot as plt import numpy as np from statsmodels.stats.weightstats import ttost_paired data = pd.read_csv(open('combined_data.csv')) for t in data.index: if int(data.loc[t, 'Baseline']) == 0: data.loc[t, 'STF Baseline'] = data.loc[t, 'Succesfully Tracked Features 0'] data.loc[t, 'STF Experiment'] = data.loc[t, 'Succesfully Tracked Features 1'] else: data.loc[t, 'STF Baseline'] = data.loc[t, 'Succesfully Tracked Features 1'] data.loc[t, 'STF Experiment'] = data.loc[t, 'Succesfully Tracked Features 0'] pvalue, stats1, stats2 = ttost_paired(data['STF Experiment'], data['STF Baseline'], 0, 10000) print pvalue print stats1 print stats2 plt.scatter(data.index, data['STF Baseline'], label='baseline') plt.scatter(data.index, data['STF Experiment'], color="green", label='experiment') plt.legend(loc='upper right') plt.draw() dataMax = max(data['STF Baseline'].max(), data['STF Experiment'].max()) bins = np.linspace(0, dataMax) plt.figure() plt.hist(data['STF Baseline'], alpha = 0.5, bins=bins, label="baseline") plt.hist(data['STF Experiment'], alpha = 0.5, bins=bins, label="experiment") plt.legend(loc='upper right') plt.draw() plt.figure() plt.hist(data['STF Experiment'] - data['STF Baseline'], bins=30, color="red") plt.xlabel('Experiment - Baseline') plt.show()

31.674419

93

0.696035

203

1,362

4.650246

0.300493

0.074153

0.076271

0.04661

0.554025

0.527542

0.326271

0.322034

0.228814

0

0.018676

0.135095

1,362

42

94

32.428571

0.782683

0

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0

0.304188

0

null

0

0.129032

null

0.096774

0

null

0

null

0

1

0

1

38af66085e0a385bb524dc4be264dbe2d898daba

1,829

py

Python

zunzun/app/app.py

aprezcuba24/zunzun

cc294d9dfb84695be0ed1425cf946a0f4ea644a9

[ "MIT" ]

null

zunzun/app/app.py

aprezcuba24/zunzun

cc294d9dfb84695be0ed1425cf946a0f4ea644a9

[ "MIT" ]

null

zunzun/app/app.py

aprezcuba24/zunzun

cc294d9dfb84695be0ed1425cf946a0f4ea644a9

[ "MIT" ]

null

import importlib from zunzun import CommandRegister from injector import inject, singleton from click.core import Group from zunzun import ListenerConnector from zunzun import inspect from pathlib import Path @singleton class App: name = "" listeners_config: list = [] @inject def __init__( self, command_register: CommandRegister, listener_connector: ListenerConnector ): self.command_register = command_register self.listener_connector = listener_connector self._register_listeners() def register_services(self, injector): pass def get_commands(self): return self.command_register.add_commands( Group(self.name), self.get_or_create_module("commands", "core.commands") ) def _register_listeners(self): for args in self.listeners_config: self.listener_connector.connect(*args) def get_config(self, name, default): return default def get_or_create_module(self, name, config_name=None): if config_name: name = self.get_config(config_name, name) file = inspect.getfile(self.__class__) parent = Path(file).parent folder = Path(f"{parent}/{name}") if not folder.is_dir(): folder.mkdir() init_file = Path(f"{folder}/__init__.py") if not init_file.is_file(): init_file.touch() return importlib.import_module(f"..{name}", self.__module__) @property def path(self): dotted_path = str(self.__module__) dir_path, _ = dotted_path.rsplit(".", 1) return dir_path def get_module(self, module_name): return importlib.import_module(self.get_module_name(module_name)) def get_module_name(self, module_name): return f"{self.path}.{module_name}"

29.5

86

0.668671

220

1,829

5.245455

0.272727

0.051993

0.041594

0.029463

0

0.000718

0.238928

1,829

61

87

29.983607

0.828305

0

0.049207

0.013669

0

1

0.18

false

0.02

0.18

0.08

0.54

0

null

0

null

0

1

0

1

38b116711be814607ed2866ab771fa7d05349727

807

py

Python

main/migrations/0013_game.py

AyushHazard/Samskritam

c5db8e712afe24737cacc6e6f3f27e3fcbe83e26

[ "MIT" ]

null

main/migrations/0013_game.py

AyushHazard/Samskritam

c5db8e712afe24737cacc6e6f3f27e3fcbe83e26

[ "MIT" ]

null

main/migrations/0013_game.py

AyushHazard/Samskritam

c5db8e712afe24737cacc6e6f3f27e3fcbe83e26

[ "MIT" ]

3

2021-01-05T18:40:57.000Z

2021-05-14T07:56:20.000Z

# Generated by Django 3.1.2 on 2021-01-01 05:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0012_attempted_contests'), ] operations = [ migrations.CreateModel( name='Game', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('game_type', models.CharField(max_length=200)), ('description', models.TextField(default='-')), ('imageurl', models.TextField(blank=True, default='-', null=True)), ('imagename', models.TextField(blank=True, default='-', null=True)), ], ), ]

32.28

114

0.567534

80

807

5.625

0.625

0.1

0.08

0.106667

0.293333

0.173333

0

0.043029

0.28005

807

24

115

33.625

0.731497

0.055762

0

1

0

0.103947

0.030263

0

1

0

false

0

0.055556

0

0.222222

0

null

0

1

0

null

0

1

38b351b78225843bd3597a610a0f89e29687ff5d

2,224

py

Python

genome_designer/debug/2014_08_05_de_novo_on_dep_data_with_intervals.py

churchlab/millstone

ddb5d003a5b8a7675e5a56bafd5c432d9642b473

[ "MIT" ]

45

2015-09-30T14:55:33.000Z

2021-06-28T02:33:30.000Z

genome_designer/debug/2014_08_05_de_novo_on_dep_data_with_intervals.py

churchlab/millstone

ddb5d003a5b8a7675e5a56bafd5c432d9642b473

[ "MIT" ]

261

2015-06-03T20:41:56.000Z

2022-03-07T08:46:10.000Z

genome_designer/debug/2014_08_05_de_novo_on_dep_data_with_intervals.py

churchlab/millstone

ddb5d003a5b8a7675e5a56bafd5c432d9642b473

[ "MIT" ]

22

2015-06-04T20:43:10.000Z

2022-02-27T08:27:34.000Z

""" Re-running de novo assembly, this time including reads that map to mobile elements. """ import os import sys # Setup Django environment. sys.path.append( os.path.join(os.path.dirname(os.path.realpath(__file__)), '../')) os.environ['DJANGO_SETTINGS_MODULE'] = 'settings' from Bio import SeqIO from experimental.de_novo_assembly import run_velvet from main.models import * def identify_intervals(ag): # First identify intervals that map to mobile elements. genbank_filepath = get_dataset_with_type(ag.reference_genome, Dataset.TYPE.REFERENCE_GENOME_GENBANK).get_absolute_location() # Extract the proper genome record. genome_record = None with open(genbank_filepath) as input_fh: genome_record_list = SeqIO.parse(input_fh, 'genbank') for rec in genome_record_list: if rec.name == 'CP006698': genome_record = rec assert genome_record # Pick out the intervals we want: # * mobile elements # * lon gene intervals = [] found_lon = False for f in genome_record.features: if f.type == 'mobile_element': intervals.append((f.location.start, f.location.end)) if (f.type == 'gene' and 'gene' in f.qualifiers and f.qualifiers['gene'][0] in ['lon', 'clpX']): found_lon = True intervals.append((f.location.start, f.location.end)) assert found_lon assert 48 == len(intervals) # Add buffer to each interval in case reads start before or after. buffer_size = 150 def _add_buffer(i): return ( max(i[0] - buffer_size, 0), min(i[1] + buffer_size, len(genome_record)) ) intervals = [_add_buffer(i) for i in intervals] return intervals def main(): ag = AlignmentGroup.objects.get(uid='edc74a3d') intervals = identify_intervals(ag) for idx, sa in enumerate(ag.experimentsampletoalignment_set.all()): print idx + 1, 'of', ag.experimentsampletoalignment_set.count() run_velvet(sa, force_include_reads_in_intervals=intervals, output_dir_name='velvet_mobile_lon_clpX', force_rerun=True) if __name__ == '__main__': main()

30.054054

83

0.659173

288

2,224

4.868056

0.427083

0.068474

0.019971

0.021398

0.091298

0.058488

0

0.011243

0.240108

2,224

73

84

30.465753

0.818343

0.110162

0

0.043478

0

0.064362

0.023404

0

0.065217

0

null

0

0.108696

null

0.021739

0

null

0

null

0

1

0

1

38b43f59bf0131f94f4000fe15af73705057fab7

288

py

Python

P942.py

Muntaha-Islam0019/Leetcode-Solutions

0bc56ce43a6d8ad10461b69078166a2a5b913e7f

[ "MIT" ]

null

P942.py

Muntaha-Islam0019/Leetcode-Solutions

0bc56ce43a6d8ad10461b69078166a2a5b913e7f

[ "MIT" ]

null

P942.py

Muntaha-Islam0019/Leetcode-Solutions

0bc56ce43a6d8ad10461b69078166a2a5b913e7f

[ "MIT" ]

null

class Solution: def diStringMatch(self, S): low,high=0,len(S) ans=[] for i in S: if i=="I": ans.append(low) low+=1 else: ans.append(high) high-=1 return ans +[low]

22.153846

32

0.381944

33

288

3.333333

0.575758

0.163636

0

0.020979

0.503472

288

12

33

24

0.748252

0

0.003472

0

1

0.083333

false

0

0.25

0

null

0

1

0

null

0

1

38b765a30bc55c0417892d2304fc6cfeafcf844e

2,663

py

Python

forecasting/src/autogluon/forecasting/trainer/auto_trainer.py

sgdread/autogluon

fa95c72a07066dc5380fccf8bbce04b5c031fc68

[ "Apache-2.0" ]

null

forecasting/src/autogluon/forecasting/trainer/auto_trainer.py

sgdread/autogluon

fa95c72a07066dc5380fccf8bbce04b5c031fc68

[ "Apache-2.0" ]

null

forecasting/src/autogluon/forecasting/trainer/auto_trainer.py

sgdread/autogluon

fa95c72a07066dc5380fccf8bbce04b5c031fc68

[ "Apache-2.0" ]

null

import logging from typing import Dict, Union, Optional, Any from ..models.presets import get_preset_models from .abstract_trainer import AbstractForecastingTrainer, TimeSeriesDataFrame logger = logging.getLogger(__name__) class AutoForecastingTrainer(AbstractForecastingTrainer): def construct_model_templates(self, hyperparameters, **kwargs): path = kwargs.pop("path", self.path) eval_metric = kwargs.pop("eval_metric", self.eval_metric) quantile_levels = kwargs.pop("quantile_levels", self.quantile_levels) hyperparameter_tune = kwargs.get("hyperparameter_tune", False) return get_preset_models( path=path, eval_metric=eval_metric, prediction_length=self.prediction_length, freq=self.freq, hyperparameters=hyperparameters, hyperparameter_tune=hyperparameter_tune, quantiles=quantile_levels, invalid_model_names=self._get_banned_model_names(), ) # todo: implement cross-validation / holdout strategy # todo: including CVSplitter logic def fit( self, train_data: TimeSeriesDataFrame, hyperparameters: Union[str, Dict[Any, Dict]], val_data: Optional[TimeSeriesDataFrame] = None, hyperparameter_tune: bool = False, time_limit: float = None, infer_limit: float = None, # todo: implement ): """ Fit a set of forecasting models specified by the `hyperparameters` dictionary that maps model names to their specified hyperparameters. Parameters ---------- train_data: TimeSeriesDataFrame Training data for fitting time series forecasting models. hyperparameters: str or Dict A dictionary mapping selected model names, model classes or model factory to hyperparameter settings. Model names should be present in `trainer.presets.DEFAULT_MODEL_NAMES`. Optionally, the user may provide one of "toy", "toy_hpo", "default", "default_hpo" to specify presets. val_data: TimeSeriesDataFrame Optional validation data set to report validation scores on. hyperparameter_tune Whether to perform hyperparameter tuning when learning individual models. time_limit Time limit for training infer_limit Time limit for inference """ self._train_multi( train_data, val_data=val_data, hyperparameters=hyperparameters, hyperparameter_tune=hyperparameter_tune, time_limit=time_limit, )

39.746269

105

0.66917

273

2,663

6.326007

0.410256

0.083382

0.02432

0.055588

0.076433

0

0.267368

2,663

66

106

40.348485

0.885187

0.356365

0

0.108108

0

0.031736

0

0.015152

0

1

0.054054

false

0

0.108108

0

0.216216

0

null

0

null

0

1

0

1

38c660adbca3d15d5ca02084209f151a1d111447

19,353

py

Python

bmtk/simulator/popnet/popsimulator.py

hernando/bmtk

57e6924819a74f41ed94a34f55e6ebed0525d037

[ "BSD-3-Clause" ]

1

2019-03-27T12:23:09.000Z

bmtk/simulator/popnet/popsimulator.py

hernando/bmtk

57e6924819a74f41ed94a34f55e6ebed0525d037

[ "BSD-3-Clause" ]

null

bmtk/simulator/popnet/popsimulator.py

hernando/bmtk

57e6924819a74f41ed94a34f55e6ebed0525d037

[ "BSD-3-Clause" ]

null

# Copyright 2017. Allen Institute. All rights reserved # # Redistribution and use in source and binary forms, with or without modification, are permitted provided that the # following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following # disclaimer. # # 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided with the distribution. # # 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote # products derived from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, # WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # import os import logging from six import string_types from dipde.internals.internalpopulation import InternalPopulation from dipde.internals.externalpopulation import ExternalPopulation from dipde.internals.connection import Connection import dipde from bmtk.simulator.core.simulator import Simulator from . import config as cfg from . import utils as poputils import bmtk.simulator.utils.simulation_inputs as inputs from bmtk.utils.io import spike_trains, firing_rates class PopSimulator(Simulator): def __init__(self, graph, dt=0.0001, tstop=0.0, overwrite=True): self._graph = graph self._tstop = tstop self._dt = dt self._rates_file = None # name of file where the output is saved self.__population_list = [] # list of all populations, internal and external #self.__population_table = {graph: {} for graph in self._graph.networks} # population lookup by [network][id] self.__connection_list = [] # list of all connections self._dipde_network = None # reference to dipde.Network object # diction of rates for every external network/pop_id. Prepopulate dictionary with populations whose rates # have already been manually set, otherwise they should use one of the add_rates_* function. #self._rates = {network: {pop.pop_id: pop.firing_rate for pop in self._graph.get_populations(network) # if not pop.is_internal and pop.is_firing_rate_set} # for network in self._graph.networks} """ for network in self._graph.networks: for pop in self._graph.get_populations(network): if pop.is_internal: dipde_pop = self.__create_internal_pop(pop) else: if pop.is_firing_rate_set: rates = pop.firing_rate """ @property def tstop(self): return self._tstop @tstop.setter def tstop(self, value): self._tstop = value @property def dt(self): return self._dt @dt.setter def dt(self, value): self._dt = value @property def rates_file(self): return self._rates_file @rates_file.setter def rates_file(self, value): self._rates_file = value @property def populations(self): return self.__population_list @property def connections(self): return self.__connection_list def add_rates_nwb(self, network, nwb_file, trial, force=False): """Creates external population firing rates from an NWB file. Will iterate through a processing trial of an NWB file by assigning gids the population it belongs too and taking the average firing rate. This should be done before calling build_cells(). If a population has already been assigned a firing rate an error will occur unless force=True. :param network: Name of network with external populations. :param nwb_file: NWB file with spike rates. :param trial: trial id in NWB file :param force: will overwrite existing firing rates """ existing_rates = self._rates[network] # TODO: validate network exists # Get all unset, external populations in a network. network_pops = self._graph.get_populations(network) selected_pops = [] for pop in network_pops: if pop.is_internal: continue elif not force and pop.pop_id in existing_rates: print('Firing rate for {}/{} has already been set, skipping.'.format(network, pop.pop_id)) else: selected_pops.append(pop) if selected_pops: # assign firing rates from NWB file # TODO: rates_dict = poputils.get_firing_rate_from_nwb(selected_pops, nwb_file, trial) self._rates[network].update(rates_dict) def add_rate_hz(self, network, pop_id, rate, force=False): """Set the firing rate of an external population. This should be done before calling build_cells(). If a population has already been assigned a firing rate an error will occur unless force=True. :param network: name of network with wanted exteranl population :param pop_id: name/id of external population :param rate: firing rate in Hz. :param force: will overwrite existing firing rates """ self.__add_rates_validator(network, pop_id, force) self._rates[network][pop_id] = rate def __add_rates_validator(self, network, pop_id, force): if network not in self._graph.networks: raise Exception('No network {} found in PopGraph.'.format(network)) pop = self._graph.get_population(network, pop_id) if pop is None: raise Exception('No population with id {} found in {}.'.format(pop_id, network)) if pop.is_internal: raise Exception('Population {} in {} is not an external population.'.format(pop_id, network)) if not force and pop_id in self._rates[network]: raise Exception('The firing rate for {}/{} already set and force=False.'.format(network, pop_id)) def _get_rate(self, network, pop): """Gets the firing rate for a given population""" return self._rates[network][pop.pop_id] def build_populations(self): """Build dipde Population objects from graph nodes. To calculate external populations firing rates, it first see if a population's firing rate has been manually set in the graph. Otherwise it attempts to calulate the firing rate from the call to add_rate_hz, add_rates_NWB, etc. (which should be called first). """ for network in self._graph.networks: for pop in self._graph.get_populations(network): if pop.is_internal: dipde_pop = self.__create_internal_pop(pop) else: dipde_pop = self.__create_external_pop(pop, self._get_rate(network, pop)) self.__population_list.append(dipde_pop) self.__population_table[network][pop.pop_id] = dipde_pop def set_logging(self, log_file): # TODO: move this out of the function, put in io class if os.path.exists(log_file): os.remove(log_file) # get root logger logger = logging.getLogger() for h in list(logger.handlers): # remove existing handlers that will write to console. logger.removeHandler(h) # creates handler that write to log_file logging.basicConfig(filename=log_file, filemode='w', level=logging.DEBUG) def set_external_connections(self, network_name): """Sets the external connections for populations in a given network. :param network_name: name of external network with External Populations to connect to internal pops. """ for edge in self._graph.get_edges(network_name): # Get source and target populations src = edge.source source_pop = self.__population_table[src.network][src.pop_id] trg = edge.target target_pop = self.__population_table[trg.network][trg.pop_id] # build a connection. self.__connection_list.append(self.__create_connection(source_pop, target_pop, edge)) def set_recurrent_connections(self): """Initialize internal connections.""" for network in self._graph.internal_networks(): for edge in self._graph.get_edges(network): src = edge.source source_pop = self.__population_table[src.network][src.pop_id] trg = edge.target target_pop = self.__population_table[trg.network][trg.pop_id] self.__connection_list.append(self.__create_connection(source_pop, target_pop, edge)) def run(self, tstop=None): # TODO: Check if cells/connections need to be rebuilt. # Create the networ dipde_pops = [p.dipde_obj for p in self._graph.populations] dipde_conns = [c.dipde_obj for c in self._graph.connections] #print dipde_pops #print dipde_conns #exit() self._dipde_network = dipde.Network(population_list=dipde_pops, connection_list=dipde_conns) #self._dipde_network = dipde.Network(population_list=self._graph.populations, # connection_list=self._graph.connections) if tstop is None: tstop = self.tstop #print tstop, self.dt #print self._graph.populations #exit() print("running simulation...") self._dipde_network.run(t0=0.0, tf=tstop, dt=self.dt) # TODO: make record_rates optional? self.__record_rates() print("done simulation.") def __create_internal_pop(self, params): # TODO: use getter methods directly in case arguments are not stored in dynamics params # pop = InternalPopulation(**params.dynamics_params) pop = InternalPopulation(**params.model_params) return pop def __create_external_pop(self, params, rates): pop = ExternalPopulation(rates, record=False) return pop def __create_connection(self, source, target, params): return Connection(source, target, nsyn=params.nsyns, delays=params.delay, weights=params.weight) def __record_rates(self): with open(self._rates_file, 'w') as f: for pop in self._graph.internal_populations: if pop.record: for time, rate in zip(pop.dipde_obj.t_record, pop.dipde_obj.firing_rate_record): f.write('{} {} {}\n'.format(pop.pop_id, time, rate)) ''' @classmethod def from_config(cls, configure, graph): # load the json file or object if isinstance(configure, basestring): config = cfg.from_json(configure, validate=True) elif isinstance(configure, dict): config = configure else: raise Exception('Could not convert {} (type "{}") to json.'.format(configure, type(configure))) network = cls(graph) if 'run' not in config: raise Exception('Json file is missing "run" entry. Unable to build Bionetwork.') run_dict = config['run'] # Create the output file if 'output' in config: out_dict = config['output'] rates_file = out_dict.get('rates_file', None) if rates_file is not None: # create directory if required network.rates_file = rates_file parent_dir = os.path.dirname(rates_file) if not os.path.exists(parent_dir): os.makedirs(parent_dir) if 'log_file' in out_dict: log_file = out_dict['log_file'] network.set_logging(log_file) # get network parameters if 'duration' in run_dict: network.duration = run_dict['duration'] if 'dt' in run_dict: network.dt = run_dict['dt'] # TODO: need to get firing rates before building populations if 'input' in config: for netinput in config['input']: if netinput['type'] == 'external_spikes' and netinput['format'] == 'nwb' and netinput['active']: # Load external network spike trains from an NWB file. print('Setting firing rates for {} from {}.'.format(netinput['source_nodes'], netinput['file'])) network.add_rates_nwb(netinput['source_nodes'], netinput['file'], netinput['trial']) if netinput['type'] == 'pop_rate': print('Setting {}/{} to fire at {} Hz.'.format(netinput['source_nodes'], netinput['pop_id'], netinput['rate'])) network.add_rate_hz(netinput['source_nodes'], netinput['pop_id'], netinput['rate']) # TODO: take input as function with Population argument # Build populations print('Building Populations') network.build_populations() # Build recurrent connections if run_dict['connect_internal']: print('Building recurrention connections') network.set_recurrent_connections() # Build external connections. Set connection to default True and turn off only if explicitly stated. # NOTE: It might be better to set to default off?!?! Need to dicuss what would be more intuitive for the users. # TODO: ignore case of network name external_network_settings = {name: True for name in graph.external_networks()} if 'connect_external' in run_dict: external_network_settings.update(run_dict['connect_external']) for netname, connect in external_network_settings.items(): if connect: print('Setting external connections for {}'.format(netname)) network.set_external_connections(netname) return network ''' @classmethod def from_config(cls, configure, graph): # load the json file or object if isinstance(configure, string_types): config = cfg.from_json(configure, validate=True) elif isinstance(configure, dict): config = configure else: raise Exception('Could not convert {} (type "{}") to json.'.format(configure, type(configure))) if 'run' not in config: raise Exception('Json file is missing "run" entry. Unable to build Bionetwork.') run_dict = config['run'] # Get network parameters # step time (dt) is set in the kernel and should be passed overwrite = run_dict['overwrite_output_dir'] if 'overwrite_output_dir' in run_dict else True print_time = run_dict['print_time'] if 'print_time' in run_dict else False dt = run_dict['dt'] # TODO: make sure dt exists tstop = float(config.tstop) / 1000.0 network = cls(graph, dt=config.dt, tstop=tstop, overwrite=overwrite) if 'output_dir' in config['output']: network.output_dir = config['output']['output_dir'] # network.spikes_file = config['output']['spikes_ascii'] if 'block_run' in run_dict and run_dict['block_run']: if 'block_size' not in run_dict: raise Exception('"block_run" is set to True but "block_size" not found.') network._block_size = run_dict['block_size'] if 'duration' in run_dict: network.duration = run_dict['duration'] graph.io.log_info('Building cells.') graph.build_nodes() graph.io.log_info('Building recurrent connections') graph.build_recurrent_edges() for sim_input in inputs.from_config(config): node_set = graph.get_node_set(sim_input.node_set) if sim_input.input_type == 'spikes': spikes = spike_trains.SpikesInput.load(name=sim_input.name, module=sim_input.module, input_type=sim_input.input_type, params=sim_input.params) graph.io.log_info('Build virtual cell stimulations for {}'.format(sim_input.name)) graph.add_spike_trains(spikes, node_set) else: graph.io.log_info('Build virtual cell stimulations for {}'.format(sim_input.name)) rates = firing_rates.RatesInput(sim_input.params) graph.add_rates(rates, node_set) # Create the output file if 'output' in config: out_dict = config['output'] rates_file = out_dict.get('rates_file', None) if rates_file is not None: rates_file = rates_file if os.path.isabs(rates_file) else os.path.join(config.output_dir, rates_file) # create directory if required network.rates_file = rates_file parent_dir = os.path.dirname(rates_file) if not os.path.exists(parent_dir): os.makedirs(parent_dir) if 'log_file' in out_dict: log_file = out_dict['log_file'] network.set_logging(log_file) # exit() # build the cells #io.log('Building cells') #network.build_cells() # Build internal connections #if run_dict['connect_internal']: # io.log('Creating recurrent connections') # network.set_recurrent_connections() # Build external connections. Set connection to default True and turn off only if explicitly stated. # NOTE: It might be better to set to default off?!?! Need to dicuss what would be more intuitive for the users. # TODO: ignore case of network name ''' external_network_settings = {name: True for name in graph.external_networks()} if 'connect_external' in run_dict: external_network_settings.update(run_dict['connect_external']) for netname, connect in external_network_settings.items(): if connect: io.log('Setting external connections for {}'.format(netname)) network.set_external_connections(netname) # Build inputs if 'input' in config: for netinput in config['input']: if netinput['type'] == 'external_spikes' and netinput['format'] == 'nwb' and netinput['active']: network.add_spikes_nwb(netinput['source_nodes'], netinput['file'], netinput['trial']) io.log_info('Adding stimulations') network.make_stims() ''' graph.io.log_info('Network created.') return network

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0.021978

0

null

0

null

0

1

0

1

38cabe0c4bced6b634c68a59cf4f8f5117b14f51

394

py

Python

2020/aoc6.py

lachtanek/advent-of-code

dc83d82d46392adc073191161c2767e684d776bd

[ "MIT" ]

null

2020/aoc6.py

lachtanek/advent-of-code

dc83d82d46392adc073191161c2767e684d776bd

[ "MIT" ]

null

2020/aoc6.py

lachtanek/advent-of-code

dc83d82d46392adc073191161c2767e684d776bd

[ "MIT" ]

null

from functools import reduce data = [] with open("aoc6.inp") as rf: sets = [] for l in rf: if l == "\n": data.append(sets) sets = [] else: sets.append(set([c for c in l.strip()])) a1 = a2 = 0 for sets in data: a1 += len(reduce(lambda s1, s2: s1 | s2, sets)) a2 += len(reduce(lambda s1, s2: s1 & s2, sets)) print(a1, a2)

17.909091

52

0.5

61

394

3.229508

0.491803

0.081218

0.152284

0.172589

0.274112

0

0.061776

0.34264

394

21

53

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0

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1

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false

0

0.066667

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0.066667

0

null

0

1

0

null

0

1

38caf61d9a9e8681b2748236a9dabcabd645543a

1,075

py

Python

ghnotifier/menu.py

iamtalhaasghar/ghnotifier

7bbcbc32abc8ad923bff64055cb19ac042a03764

[ "MIT" ]

1

2022-02-03T05:30:22.000Z

ghnotifier/menu.py

iamtalhaasghar/ghnotifier

7bbcbc32abc8ad923bff64055cb19ac042a03764

[ "MIT" ]

5

2018-10-30T13:03:24.000Z

2022-02-03T06:06:08.000Z

ghnotifier/menu.py

iamtalhaasghar/ghnotifier

7bbcbc32abc8ad923bff64055cb19ac042a03764

[ "MIT" ]

1

2022-02-03T06:02:02.000Z

#!/usr/bin/env python3 import webbrowser import gi gi.require_version('Gtk', '3.0') from gi.repository import Gtk from ghnotifier.notifier import Notifier from ghnotifier.settings import Settings class Menu: GITHUB_NOTIFICATIONS = 'https://github.com/notifications' def __init__(self): self.menu = Gtk.Menu() self.create_menu() self.menu.show_all() def create_menu(self): self.append('Open Notifications', self.notifications) self.append('Settings', self.settings) self.menu.append(Gtk.SeparatorMenuItem()) self.append('Quit', self.quit) def append(self, name, callback): item = Gtk.MenuItem(name) item.connect('activate', callback) self.menu.append(item) @staticmethod def notifications(source): webbrowser.open(Menu.GITHUB_NOTIFICATIONS) @staticmethod def settings(source): Settings().open() @staticmethod def quit(source): Notifier.stop() Gtk.main_quit() def get_inner(self): return self.menu

21.5

61

0.655814

124

1,075

5.58871

0.370968

0.05772

0.066378

0

0.003628

0.230698

1,075

50

62

21.5

0.834341

0.019535

0

0.090909

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0

1

0.212121

false

0

0.151515

0.030303

0.454545

0

null

0

null

0

1

0

1

38d24f0b77db0580d1f6a1183215410fe0692d65

859

py

Python

Python/Maths/factorielle.py

GeneralNZR/maths-and-javascript

8a0e638e59808b1d987269dddac0b99c96c78c4a

[ "MIT" ]

3

2021-10-01T06:11:28.000Z

2021-10-04T20:50:07.000Z

Python/Maths/factorielle.py

GeneralNZR/maths-and-javascript

8a0e638e59808b1d987269dddac0b99c96c78c4a

[ "MIT" ]

null

Python/Maths/factorielle.py

GeneralNZR/maths-and-javascript

8a0e638e59808b1d987269dddac0b99c96c78c4a

[ "MIT" ]

null

def factorielle_rec(n: int) -> int: """ Description: Factorielle méthode récursive Paramètres: n: {int} -- Nombre à factorielle Retourne: {int} -- Factorielle de n Exemple: >>> factorielle_rec(100) 9.332622e+157 Pour l'écriture scientifique: f"{factorielle_rec(100):e}" """ return 1 if n == 0 else n * factorielle_rec(n - 1) def factorielle_it(n: int) -> int: """ Description: Factorielle méthode itérative Paramètres: n: {int} -- Nombre à factorielle Retourne: {int} -- Factorielle de n Exemple: >>> factorielle_it(100) 9.332622e+157 Pour l'écriture scientifique: f"{factorielle_it(100):e}" """ result = 1 for i in range(1, n + 1): result *= i return result

21.475

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0.549476

98

859

4.744898

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0.12043

0.064516

0.077419

0.696774

0.541935

0

0.066901

0.338766

859

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0

1

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false

0

0.571429

0

null

0

null

0

1

0

1

38d36df65b3ed1c6bdcd5d1855bfdf3aac9db033

14,536

py

Python

huaweicloud-sdk-bssintl/huaweicloudsdkbssintl/v2/model/apply_individual_realname_auths_req.py

huaweicloud/huaweicloud-sdk-python-v3

7a6270390fcbf192b3882bf763e7016e6026ef78

[ "Apache-2.0" ]

64

2020-06-12T07:05:07.000Z

2022-03-30T03:32:50.000Z

huaweicloud-sdk-bssintl/huaweicloudsdkbssintl/v2/model/apply_individual_realname_auths_req.py

huaweicloud/huaweicloud-sdk-python-v3

7a6270390fcbf192b3882bf763e7016e6026ef78

[ "Apache-2.0" ]

11

2020-07-06T07:56:54.000Z

2022-01-11T11:14:40.000Z

huaweicloud-sdk-bssintl/huaweicloudsdkbssintl/v2/model/apply_individual_realname_auths_req.py

huaweicloud/huaweicloud-sdk-python-v3

7a6270390fcbf192b3882bf763e7016e6026ef78

[ "Apache-2.0" ]

24

2020-06-08T11:42:13.000Z

2022-03-04T06:44:08.000Z

# coding: utf-8 import re import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class ApplyIndividualRealnameAuthsReq: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ sensitive_list = [] openapi_types = { 'customer_id': 'str', 'identify_type': 'int', 'verified_type': 'int', 'verified_file_url': 'list[str]', 'name': 'str', 'verified_number': 'str', 'change_type': 'int', 'xaccount_type': 'str', 'bank_card_info': 'BankCardInfoV2' } attribute_map = { 'customer_id': 'customer_id', 'identify_type': 'identify_type', 'verified_type': 'verified_type', 'verified_file_url': 'verified_file_url', 'name': 'name', 'verified_number': 'verified_number', 'change_type': 'change_type', 'xaccount_type': 'xaccount_type', 'bank_card_info': 'bank_card_info' } def __init__(self, customer_id=None, identify_type=None, verified_type=None, verified_file_url=None, name=None, verified_number=None, change_type=None, xaccount_type=None, bank_card_info=None): """ApplyIndividualRealnameAuthsReq - a model defined in huaweicloud sdk""" self._customer_id = None self._identify_type = None self._verified_type = None self._verified_file_url = None self._name = None self._verified_number = None self._change_type = None self._xaccount_type = None self._bank_card_info = None self.discriminator = None self.customer_id = customer_id self.identify_type = identify_type if verified_type is not None: self.verified_type = verified_type self.verified_file_url = verified_file_url self.name = name self.verified_number = verified_number if change_type is not None: self.change_type = change_type self.xaccount_type = xaccount_type if bank_card_info is not None: self.bank_card_info = bank_card_info @property def customer_id(self): """Gets the customer_id of this ApplyIndividualRealnameAuthsReq. |参数名称：客户ID。| |参数约束及描述：客户ID。| :return: The customer_id of this ApplyIndividualRealnameAuthsReq. :rtype: str """ return self._customer_id @customer_id.setter def customer_id(self, customer_id): """Sets the customer_id of this ApplyIndividualRealnameAuthsReq. |参数名称：客户ID。| |参数约束及描述：客户ID。| :param customer_id: The customer_id of this ApplyIndividualRealnameAuthsReq. :type: str """ self._customer_id = customer_id @property def identify_type(self): """Gets the identify_type of this ApplyIndividualRealnameAuthsReq. |参数名称：认证方案：0：个人证件认证4：个人银行卡认证。这种方式下，仅仅需要上传一张个人扫脸的图片附件即可。| |参数的约束及描述：认证方案：0：个人证件认证4：个人银行卡认证。这种方式下，仅仅需要上传一张个人扫脸的图片附件即可。| :return: The identify_type of this ApplyIndividualRealnameAuthsReq. :rtype: int """ return self._identify_type @identify_type.setter def identify_type(self, identify_type): """Sets the identify_type of this ApplyIndividualRealnameAuthsReq. |参数名称：认证方案：0：个人证件认证4：个人银行卡认证。这种方式下，仅仅需要上传一张个人扫脸的图片附件即可。| |参数的约束及描述：认证方案：0：个人证件认证4：个人银行卡认证。这种方式下，仅仅需要上传一张个人扫脸的图片附件即可。| :param identify_type: The identify_type of this ApplyIndividualRealnameAuthsReq. :type: int """ self._identify_type = identify_type @property def verified_type(self): """Gets the verified_type of this ApplyIndividualRealnameAuthsReq. |参数名称：证件类型：0：身份证，上传的附件为3张，第1张是身份证人像面，第2张是身份证国徽面，第3张是个人手持身份证人像面；3：护照，上传的附件为3张，第1张是护照个人资料页，第2张是，护照入境盖章页，第3张是手持护照个人资料页；3：护照，上传的附件为2张，第1张是护照个人资料页，第2张是手持护照个人资料页；5：港澳通行证，上传的附件为3张，第1张是港澳居民来往内地通行证正面（人像面），第2张是港澳居民来往内地通行证反面，第3张是手持港澳居民来往内地通行证人像面；6：台湾通行证，上传的附件为3张，第1张是台湾居民来往大陆通行证正面（人像面），第2张是台湾居民来往大陆通行证反面，第3张是手持台湾居民来往大陆通行证人像面；7：海外驾照，上传的附件为2张，第1张是中国以外驾照正面照片（人像面），第2张是手持中国以外驾照人像面照片；9：港澳居民居住证，上传的附件为3张，第1张是港澳居民居住证人像面，第2张是，港澳居民居住证国徽面，第3张是手持港澳居民居住证人像面照片；10：台湾居民居住证，上传的附件为3张，第1张是台湾居民居住证人像面，第2张是台湾居民居住证国徽面，第3张是手持台湾居民居住证人像面照片。当identifyType=0的时候，该字段需要填写，否则忽略该字段的取值。| |参数的约束及描述：证件类型：0：身份证，上传的附件为3张，第1张是身份证人像面，第2张是身份证国徽面，第3张是个人手持身份证人像面；3：护照，上传的附件为3张，第1张是护照个人资料页，第2张是，护照入境盖章页，第3张是手持护照个人资料页；3：护照，上传的附件为2张，第1张是护照个人资料页，第2张是手持护照个人资料页；5：港澳通行证，上传的附件为3张，第1张是港澳居民来往内地通行证正面（人像面），第2张是港澳居民来往内地通行证反面，第3张是手持港澳居民来往内地通行证人像面；6：台湾通行证，上传的附件为3张，第1张是台湾居民来往大陆通行证正面（人像面），第2张是台湾居民来往大陆通行证反面，第3张是手持台湾居民来往大陆通行证人像面；7：海外驾照，上传的附件为2张，第1张是中国以外驾照正面照片（人像面），第2张是手持中国以外驾照人像面照片；9：港澳居民居住证，上传的附件为3张，第1张是港澳居民居住证人像面，第2张是，港澳居民居住证国徽面，第3张是手持港澳居民居住证人像面照片；10：台湾居民居住证，上传的附件为3张，第1张是台湾居民居住证人像面，第2张是台湾居民居住证国徽面，第3张是手持台湾居民居住证人像面照片。当identifyType=0的时候，该字段需要填写，否则忽略该字段的取值。| :return: The verified_type of this ApplyIndividualRealnameAuthsReq. :rtype: int """ return self._verified_type @verified_type.setter def verified_type(self, verified_type): """Sets the verified_type of this ApplyIndividualRealnameAuthsReq. |参数名称：证件类型：0：身份证，上传的附件为3张，第1张是身份证人像面，第2张是身份证国徽面，第3张是个人手持身份证人像面；3：护照，上传的附件为3张，第1张是护照个人资料页，第2张是，护照入境盖章页，第3张是手持护照个人资料页；3：护照，上传的附件为2张，第1张是护照个人资料页，第2张是手持护照个人资料页；5：港澳通行证，上传的附件为3张，第1张是港澳居民来往内地通行证正面（人像面），第2张是港澳居民来往内地通行证反面，第3张是手持港澳居民来往内地通行证人像面；6：台湾通行证，上传的附件为3张，第1张是台湾居民来往大陆通行证正面（人像面），第2张是台湾居民来往大陆通行证反面，第3张是手持台湾居民来往大陆通行证人像面；7：海外驾照，上传的附件为2张，第1张是中国以外驾照正面照片（人像面），第2张是手持中国以外驾照人像面照片；9：港澳居民居住证，上传的附件为3张，第1张是港澳居民居住证人像面，第2张是，港澳居民居住证国徽面，第3张是手持港澳居民居住证人像面照片；10：台湾居民居住证，上传的附件为3张，第1张是台湾居民居住证人像面，第2张是台湾居民居住证国徽面，第3张是手持台湾居民居住证人像面照片。当identifyType=0的时候，该字段需要填写，否则忽略该字段的取值。| |参数的约束及描述：证件类型：0：身份证，上传的附件为3张，第1张是身份证人像面，第2张是身份证国徽面，第3张是个人手持身份证人像面；3：护照，上传的附件为3张，第1张是护照个人资料页，第2张是，护照入境盖章页，第3张是手持护照个人资料页；3：护照，上传的附件为2张，第1张是护照个人资料页，第2张是手持护照个人资料页；5：港澳通行证，上传的附件为3张，第1张是港澳居民来往内地通行证正面（人像面），第2张是港澳居民来往内地通行证反面，第3张是手持港澳居民来往内地通行证人像面；6：台湾通行证，上传的附件为3张，第1张是台湾居民来往大陆通行证正面（人像面），第2张是台湾居民来往大陆通行证反面，第3张是手持台湾居民来往大陆通行证人像面；7：海外驾照，上传的附件为2张，第1张是中国以外驾照正面照片（人像面），第2张是手持中国以外驾照人像面照片；9：港澳居民居住证，上传的附件为3张，第1张是港澳居民居住证人像面，第2张是，港澳居民居住证国徽面，第3张是手持港澳居民居住证人像面照片；10：台湾居民居住证，上传的附件为3张，第1张是台湾居民居住证人像面，第2张是台湾居民居住证国徽面，第3张是手持台湾居民居住证人像面照片。当identifyType=0的时候，该字段需要填写，否则忽略该字段的取值。| :param verified_type: The verified_type of this ApplyIndividualRealnameAuthsReq. :type: int """ self._verified_type = verified_type @property def verified_file_url(self): """Gets the verified_file_url of this ApplyIndividualRealnameAuthsReq. |参数名称：个人证件认证时证件附件的文件URL，该URL地址必须按照顺序填写。以身份证举例，譬如身份证人像面文件名称是abc023，国徽面是def004，个人手持身份证人像面是gh007，那么这个地方需要按照abc023def004gh007的顺序填写URL（文件名称区分大小写）。以护照举例，譬如护照个人资料页文件名称是abc023，手持护照个人资料页是def004，那么这个地方需要按照abc023def004的顺序填写URL（文件名称区分大小写）。证件附件目前仅仅支持jpg、jpeg、bmp、png、gif、pdf格式，单个文件最大不超过10M。这个URL是相对URL，不需要包含桶名和download目录，只要包含download目录下的子目录和对应文件名称即可。举例如下：如果上传的证件附件在桶中的位置是：https://bucketname.obs.Endpoint.myhuaweicloud.com/download/abc023.jpg，该字段填写abc023.jpg；如果上传的证件附件在桶中的位置是：https://bucketname.obs.Endpoint.myhuaweicloud.com/download/test/abc023.jpg，该字段填写test/abc023.jpg。| |参数约束以及描述：个人证件认证时证件附件的文件URL，该URL地址必须按照顺序填写。以身份证举例，譬如身份证人像面文件名称是abc023，国徽面是def004，个人手持身份证人像面是gh007，那么这个地方需要按照abc023def004gh007的顺序填写URL（文件名称区分大小写）。以护照举例，譬如护照个人资料页文件名称是abc023，手持护照个人资料页是def004，那么这个地方需要按照abc023def004的顺序填写URL（文件名称区分大小写）。证件附件目前仅仅支持jpg、jpeg、bmp、png、gif、pdf格式，单个文件最大不超过10M。这个URL是相对URL，不需要包含桶名和download目录，只要包含download目录下的子目录和对应文件名称即可。举例如下：如果上传的证件附件在桶中的位置是：https://bucketname.obs.Endpoint.myhuaweicloud.com/download/abc023.jpg，该字段填写abc023.jpg；如果上传的证件附件在桶中的位置是：https://bucketname.obs.Endpoint.myhuaweicloud.com/download/test/abc023.jpg，该字段填写test/abc023.jpg。| :return: The verified_file_url of this ApplyIndividualRealnameAuthsReq. :rtype: list[str] """ return self._verified_file_url @verified_file_url.setter def verified_file_url(self, verified_file_url): """Sets the verified_file_url of this ApplyIndividualRealnameAuthsReq. |参数名称：个人证件认证时证件附件的文件URL，该URL地址必须按照顺序填写。以身份证举例，譬如身份证人像面文件名称是abc023，国徽面是def004，个人手持身份证人像面是gh007，那么这个地方需要按照abc023def004gh007的顺序填写URL（文件名称区分大小写）。以护照举例，譬如护照个人资料页文件名称是abc023，手持护照个人资料页是def004，那么这个地方需要按照abc023def004的顺序填写URL（文件名称区分大小写）。证件附件目前仅仅支持jpg、jpeg、bmp、png、gif、pdf格式，单个文件最大不超过10M。这个URL是相对URL，不需要包含桶名和download目录，只要包含download目录下的子目录和对应文件名称即可。举例如下：如果上传的证件附件在桶中的位置是：https://bucketname.obs.Endpoint.myhuaweicloud.com/download/abc023.jpg，该字段填写abc023.jpg；如果上传的证件附件在桶中的位置是：https://bucketname.obs.Endpoint.myhuaweicloud.com/download/test/abc023.jpg，该字段填写test/abc023.jpg。| |参数约束以及描述：个人证件认证时证件附件的文件URL，该URL地址必须按照顺序填写。以身份证举例，譬如身份证人像面文件名称是abc023，国徽面是def004，个人手持身份证人像面是gh007，那么这个地方需要按照abc023def004gh007的顺序填写URL（文件名称区分大小写）。以护照举例，譬如护照个人资料页文件名称是abc023，手持护照个人资料页是def004，那么这个地方需要按照abc023def004的顺序填写URL（文件名称区分大小写）。证件附件目前仅仅支持jpg、jpeg、bmp、png、gif、pdf格式，单个文件最大不超过10M。这个URL是相对URL，不需要包含桶名和download目录，只要包含download目录下的子目录和对应文件名称即可。举例如下：如果上传的证件附件在桶中的位置是：https://bucketname.obs.Endpoint.myhuaweicloud.com/download/abc023.jpg，该字段填写abc023.jpg；如果上传的证件附件在桶中的位置是：https://bucketname.obs.Endpoint.myhuaweicloud.com/download/test/abc023.jpg，该字段填写test/abc023.jpg。| :param verified_file_url: The verified_file_url of this ApplyIndividualRealnameAuthsReq. :type: list[str] """ self._verified_file_url = verified_file_url @property def name(self): """Gets the name of this ApplyIndividualRealnameAuthsReq. |参数名称：姓名。| |参数约束及描述：姓名。| :return: The name of this ApplyIndividualRealnameAuthsReq. :rtype: str """ return self._name @name.setter def name(self, name): """Sets the name of this ApplyIndividualRealnameAuthsReq. |参数名称：姓名。| |参数约束及描述：姓名。| :param name: The name of this ApplyIndividualRealnameAuthsReq. :type: str """ self._name = name @property def verified_number(self): """Gets the verified_number of this ApplyIndividualRealnameAuthsReq. |参数名称：证件号码。| |参数约束及描述：证件号码。| :return: The verified_number of this ApplyIndividualRealnameAuthsReq. :rtype: str """ return self._verified_number @verified_number.setter def verified_number(self, verified_number): """Sets the verified_number of this ApplyIndividualRealnameAuthsReq. |参数名称：证件号码。| |参数约束及描述：证件号码。| :param verified_number: The verified_number of this ApplyIndividualRealnameAuthsReq. :type: str """ self._verified_number = verified_number @property def change_type(self): """Gets the change_type of this ApplyIndividualRealnameAuthsReq. |参数名称：变更类型：-1：首次实名认证| |参数的约束及描述：变更类型：-1：首次实名认证| :return: The change_type of this ApplyIndividualRealnameAuthsReq. :rtype: int """ return self._change_type @change_type.setter def change_type(self, change_type): """Sets the change_type of this ApplyIndividualRealnameAuthsReq. |参数名称：变更类型：-1：首次实名认证| |参数的约束及描述：变更类型：-1：首次实名认证| :param change_type: The change_type of this ApplyIndividualRealnameAuthsReq. :type: int """ self._change_type = change_type @property def xaccount_type(self): """Gets the xaccount_type of this ApplyIndividualRealnameAuthsReq. |参数名称：华为分给合作伙伴的平台标识。该标识的具体值由华为分配。获取方法请参见如何获取xaccountType的取值如何获取xaccountType的取值。| |参数约束及描述：华为分给合作伙伴的平台标识。该标识的具体值由华为分配。获取方法请参见如何获取xaccountType的取值如何获取xaccountType的取值。| :return: The xaccount_type of this ApplyIndividualRealnameAuthsReq. :rtype: str """ return self._xaccount_type @xaccount_type.setter def xaccount_type(self, xaccount_type): """Sets the xaccount_type of this ApplyIndividualRealnameAuthsReq. |参数名称：华为分给合作伙伴的平台标识。该标识的具体值由华为分配。获取方法请参见如何获取xaccountType的取值如何获取xaccountType的取值。| |参数约束及描述：华为分给合作伙伴的平台标识。该标识的具体值由华为分配。获取方法请参见如何获取xaccountType的取值如何获取xaccountType的取值。| :param xaccount_type: The xaccount_type of this ApplyIndividualRealnameAuthsReq. :type: str """ self._xaccount_type = xaccount_type @property def bank_card_info(self): """Gets the bank_card_info of this ApplyIndividualRealnameAuthsReq. :return: The bank_card_info of this ApplyIndividualRealnameAuthsReq. :rtype: BankCardInfoV2 """ return self._bank_card_info @bank_card_info.setter def bank_card_info(self, bank_card_info): """Sets the bank_card_info of this ApplyIndividualRealnameAuthsReq. :param bank_card_info: The bank_card_info of this ApplyIndividualRealnameAuthsReq. :type: BankCardInfoV2 """ self._bank_card_info = bank_card_info def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: if attr in self.sensitive_list: result[attr] = "****" else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" import simplejson as json if six.PY2: import sys reload(sys) sys.setdefaultencoding("utf-8") return json.dumps(sanitize_for_serialization(self), ensure_ascii=False) def __repr__(self): """For `print`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, ApplyIndividualRealnameAuthsReq): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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38d42eb30da6ce6e341aef340a29b43528065a7b

626

py

Python

tests/test_pack_data.py

derekmerck/endpoint

5b74f0b3303bbf419a6c9f71e9a4a156583bf51d

[ "MIT" ]

null

tests/test_pack_data.py

derekmerck/endpoint

5b74f0b3303bbf419a6c9f71e9a4a156583bf51d

[ "MIT" ]

null

tests/test_pack_data.py

derekmerck/endpoint

5b74f0b3303bbf419a6c9f71e9a4a156583bf51d

[ "MIT" ]

null

from datetime import datetime from pprint import pprint from cryptography.fernet import Fernet from libsvc.utils import pack_data, unpack_data def pack_data_test(): fkey = Fernet.generate_key() data = {"today": datetime.today(), "dog": "cat", "red": "blue"} p = pack_data(data, fkey, fields=["today", "dog"]) print(p.decode("utf8")) u = unpack_data(p, fkey) pprint(u) assert u["dog"] == "cat" today = datetime.fromisoformat(u["today"]).date() assert today == datetime.today().date() assert "red" not in u if __name__ == "__main__": pack_data_test()

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py

Python

iris_sdk/models/portin.py

NumberAI/python-bandwidth-iris

0e05f79d68b244812afb97e00fd65b3f46d00aa3

[ "MIT" ]

2

2020-04-13T13:47:59.000Z

2022-02-23T20:32:41.000Z

iris_sdk/models/portin.py

bandwidthcom/python-bandwidth-iris

dbcb30569631395041b92917252d913166f7d3c9

[ "MIT" ]

5

2020-09-18T20:59:24.000Z

2021-08-25T16:51:42.000Z

iris_sdk/models/portin.py

bandwidthcom/python-bandwidth-iris

dbcb30569631395041b92917252d913166f7d3c9

[ "MIT" ]

5

2018-12-12T14:39:50.000Z

2020-11-17T21:42:29.000Z

#!/usr/bin/env python from __future__ import division, absolute_import, print_function from future.builtins import super from iris_sdk.models.activation_status import ActivationStatus from iris_sdk.models.base_resource import BaseResource from iris_sdk.models.data.portin import PortInData from iris_sdk.models.history import History from iris_sdk.models.loas import Loas from iris_sdk.models.notes import Notes from iris_sdk.models.totals import Totals XML_NAME_PORTIN = "LnpOrderResponse" XML_NAME_PORTIN_SAVE = "LnpOrder" XPATH_PORTIN = "/{}" class PortIn(BaseResource, PortInData): """Local number portability order""" _node_name = XML_NAME_PORTIN _node_name_save = XML_NAME_PORTIN_SAVE _xpath = XPATH_PORTIN @property def activation_status(self): return self._activation_status @property def history(self): return self._history @property def id(self): return self.order_id @id.setter def id(self, id): self.order_id = id @property def loas(self): return self._loas @property def notes(self): return self._notes @property def totals(self): return self._totals def __init__(self, parent=None, client=None): super().__init__(parent, client) PortInData.__init__(self) self._activation_status = ActivationStatus(self) self._history = History(self) self._loas = Loas(self, client) self._notes = Notes(self, client) self._totals = Totals(self, client) def save(self): return self._post_data()

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null

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1

38e5c75c5a33d505486249e9804993dae69406b3

20,561

py

Python

util/job_launching/procman.py

LauXy/accel-sim-framework

4c2bf09a79d6b57bb10fe1898700930a5dd5531f

[ "BSD-2-Clause" ]

88

2020-07-15T22:07:38.000Z

2022-03-29T03:52:55.000Z

util/job_launching/procman.py

LauXy/accel-sim-framework

4c2bf09a79d6b57bb10fe1898700930a5dd5531f

[ "BSD-2-Clause" ]

68

2020-08-12T13:44:59.000Z

2022-03-28T19:34:56.000Z

util/job_launching/procman.py

LauXy/accel-sim-framework

4c2bf09a79d6b57bb10fe1898700930a5dd5531f

[ "BSD-2-Clause" ]

54

2020-07-24T21:05:56.000Z

2022-03-31T13:28:23.000Z

#!/usr/bin/env python # 2020 (c) Tim Rogers, Purdue University # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. Neither the name of # The University of British Columbia nor the names of its contributors may be # used to endorse or promote products derived from this software without # specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # This file implements ProcMan: # A simple process manager that allows you to queue up tasks and launch them # once the previous tasks are done. This is useful if you want to launch # a few hundred tests, but only have 40 cores, you can queue them all up # using the ProcMan, then let it continuously run 40 at a time. # This is essentially a poor-man's torque, slurm, condor, etc for a single node. # As the goal of proc-man is a dependency-free single-node version of slurm/torque # it is used in a similar way. Replace: # sbatch <file decribing task> # qsub <file describing task> # with # ./procmany.py <file describing task> # After all the processes you want are submitted, start the procman using: # ./procman.py -S # This will create a new process that launchs and manages all the tasks you previously queued # To avoid inter-process synchronization issues, procman operates using a # producer/consumer model and once a procman has been started, new work cannot # be added to that procman. However, more than one procman can run at once. That is, # you can call: # ./procman.py mybashA.sh # ... # ./procman.py mybashZ.sh # ./procman.py -S # ./procman.py mybash1.sh # ... # ./procman.py mybash26.sh # ./procman.py -S # And it will work, launching 2 procmans that loosely co-ordinate resource usage. # By default procman will attempt to launch as many jobs as there are cores on the machine # this can be changes with the "-c <numCores>" option. # # Some other useful commands: # ./procman.py -s # launches a self-test to confirm that procman is working (takes 1-2 mins) # ./procman.py -p # prints the state of all procmans and their jobs # ./procman.py -k # kill all the jobs procman is running # ./procman.py --help # prints all the options available # # NOTE: procman only works when jobs are submitted from one process. i.e. # the user cannot spawn 2 processes and have each process concurrently # attempt to enque work. Supporting such a system adds more complication # and is not a common case. Also procman is designed for managing one user's # processes and knows nothing about what other users are doing on the machine. from optparse import OptionParser import pickle import subprocess from subprocess import Popen, PIPE import common import os, signal import stat import time import psutil import shutil import datetime import re import socket import sys import glob import copy this_directory = os.path.dirname(os.path.realpath(__file__)) + "/" procManStateFolder = os.path.join(this_directory, "procman") procManStateFile = os.path.join(procManStateFolder, "procman.{0}.pickle".format(socket.gethostname().strip())) class Job: def __init__(self, outF, errF, workingDir, command): self.outF = outF self.errF = errF self.workingDir = workingDir self.command = command self.procId = None self.POpenObj = None self.maxVmSize = 0 self.runningTime = 0 self.status = "WAITING_TO_RUN" self.name = None self.id = None self.hostname = "UNKNOWN" def string(self): return "status={0}: [name={8},procId={1},maxVmSize={2},runningTime={3},outF={4}," \ "errF={5},workingDir={6},command={7}]"\ .format(self.status, self.procId, self.maxVmSize, self.runningTime, self.outF, self.errF, self.workingDir, self.command, self.name) def __str__(self): return self.string() def __repr__(self): return self.string() class ProcMan: def __init__(self, jobLimit, pickleFile): self.initialize(jobLimit, pickleFile) def __init__(self, jobLimit): self.initialize(jobLimit, procManStateFile) def saveState(self): pickle.dump(self, open(self.pickleFile, "w+")) def clear(self): if not self.mutable or len(self.activeJobs) > 0 or len(self.completeJobs) > 0: sys.exit("ProcMans that have been started should not be cleared") del self.queuedJobs [:] def initialize(self, jobLimit, pickleFile): self.queuedJobs = [] self.activeJobs = {} self.completeJobs = {} self.jobLimit = jobLimit self.nextJobId = 1 self.tickingProcess = None self.mutable = True self.pickleFile = pickleFile def queueJob(self, job): if not self.mutable: sys.exit("This ProcMan has already been started. No new jobs can be queued.") job.id = self.nextJobId self.queuedJobs.append(job) self.nextJobId += 1 return job.id def spawnProcMan(self, sleepTime): if not self.mutable: sys.exit("This ProcMan has already been started. No new spawning can occur.") shutil.copy(self.pickleFile, self.pickleFile + ".tmp") p = Popen([__file__,"-f", self.pickleFile + ".tmp", "-t", str(sleepTime)], cwd=this_directory ) print "ProcMan spawned [pid={0}]".format(p.pid) def killJobs(self): print "Killing {0} jobs".format(len(self.activeJobs)) for jid, activeJob in self.activeJobs.iteritems(): try: p = psutil.Process(activeJob.procId) except (psutil.NoSuchProcess,psutil.AccessDenied) as e: print e continue for child in p.children(recursive=True): os.kill(child.pid,9) os.kill(activeJob.procId,9) def tick(self): if self.tickingProcess == None: self.tickingProcess = os.getpid() self.pickleFile = self.pickleFile + ".{0}".format(self.tickingProcess) elif self.tickingProcess != os.getpid(): sys.exit("To support concurrent ProcMans in different processes, each procman can only be ticked by one process") self.mutable = False # test jobs for completion jobsMoved = set() for jid, activeJob in self.activeJobs.iteritems(): jobActive = True # for an active session, need to poll or else the thing # never dies. If ProcMan is launched with just a file (and # did not launch the processes itself, we can just use the kill # with CONT signal to see if its still alive. if activeJob.POpenObj != None: activeJob.POpenObj.poll() try: os.kill(activeJob.procId,signal.SIGCONT) except OSError: jobActive = False if jobActive: try: p = psutil.Process(activeJob.procId) mem = p.memory_info().vms for child in p.children(recursive=True): mem += child.memory_info().vms activeJob.maxVmSize = max(mem, activeJob.maxVmSize) activeJob.runningTime = \ datetime.datetime.now() \ - datetime.datetime.fromtimestamp(p.create_time()) activeJob.runningTime = str(activeJob.runningTime).split('.')[0] except (psutil.NoSuchProcess,psutil.AccessDenied) as e: print e else: activeJob.status = "COMPLETE_NO_OTHER_INFO" self.completeJobs[activeJob.id] = activeJob jobsMoved.add(activeJob.id) for jobId in jobsMoved: del self.activeJobs[jobId] othersCores = self.getCPUCountFromOtherProcMans() # launch new jobs when old ones complete while (len(self.activeJobs) + othersCores) < self.jobLimit and len(self.queuedJobs) > 0: newJob = self.queuedJobs.pop(0) newJob.POpenObj = Popen(newJob.command, stdout=open(newJob.outF,"w+"), stderr=open(newJob.errF,"w+"), cwd=newJob.workingDir) newJob.procId = newJob.POpenObj.pid newJob.hostname = socket.gethostname().strip() newJob.status = "RUNNING" self.activeJobs[newJob.id] = newJob def getCPUCountFromOtherProcMans(self): othersCores = 0 for pickleFile in glob.glob(os.path.join(os.path.dirname(self.pickleFile),"*pickle*")): if pickleFile != self.pickleFile: otherProcMan = pickle.load(open(pickleFile)) othersCores += len(otherProcMan.activeJobs) return othersCores def getState(self): string = "queuedJobs={0}, activeJobs={1}, completeJobs={2}\n"\ .format(len(self.queuedJobs), len(self.activeJobs), len(self.completeJobs)) string += "\nqueuedJobs:\n" for job in self.queuedJobs: string += "\t{0}\n".format(job) string += "\nactiveJobs:\n" for jid,job in self.activeJobs.iteritems(): string += "\t{0}\n".format(job) string += "\ncompleteJobs:\n" for jid,job in self.completeJobs.iteritems(): string += "\t{0}\n".format(job) return string def getJob(self, jobId): if jobId in self.activeJobs: return self.activeJobs[jobId] elif jobId in self.completeJobs: return self.completeJobs[jobId] else: for job in self.queuedJobs: if jobId == job.id: return job return None def complete(self): return len(self.queuedJobs) == 0 and len(self.activeJobs) == 0 def selfTest(): testPath = os.path.join(this_directory, "test") if not os.path.isdir(testPath): os.makedirs(testPath) jobScript = os.path.join(testPath, "testScript.sh") open(jobScript,"w+").write("#!/bin/bash\nsleep 20s") st = os.stat(jobScript) os.chmod(jobScript, st.st_mode | stat.S_IEXEC) print "Starting synchronous selfTest" procMan = ProcMan(4) for i in range(5): procMan.queueJob( Job( outF=os.path.join(testPath, "out.{0}.txt".format(i)), errF=os.path.join(testPath, "err.{0}.txt".format(i)), workingDir=testPath, command=jobScript ) ) print procMan.getState() while not procMan.complete(): procMan.tick() print procMan.getState() time.sleep(3) print "Passed synchronous selfTest" print "Starting asynchronous selfTest" for i in range(int(psutil.cpu_count()*1.2)): jobScript = os.path.join(testPath, "testSlurm.{0}.sh".format(i)) open(jobScript,"w+").write("#!/bin/bash\n"\ "#SBATCH -J test.{0}\n".format(i) +\ "#SBATCH --output={0}\n".format(os.path.join(testPath, "out.{0}.txt".format(i))) +\ "#SBATCH --error={0}\n".format(os.path.join(testPath, "out.{0}.txt".format(i))) +\ "sleep 20s") st = os.stat(jobScript) os.chmod(jobScript, st.st_mode | stat.S_IEXEC) out, err = subprocess.Popen([os.path.join(this_directory, "procman.py"),\ jobScript], stdout=PIPE).communicate() if err != None: sys.exit(err) print "Queued Job {0}".format(out) print "Starting Jobs" subprocess.Popen([os.path.join(this_directory, "procman.py"),\ "-S", "-t", "5"], stdout=PIPE) out = "" while out != "Nothing Active": time.sleep(1) out, err = subprocess.Popen([os.path.join(this_directory, "procman.py"),\ "-p"], stdout=PIPE).communicate() out = out.strip() if err != None: sys.exit(err) print out print "Asynchronous test passed" print "Starting multi ProcMan test" JOBS_PER_PROCMAN = int(psutil.cpu_count()*1.2) / 4 for j in range(4): for i in range(JOBS_PER_PROCMAN): jobNum = j*JOBS_PER_PROCMAN + i jobScript = os.path.join(testPath, "testSlurm.{0}.sh".format(jobNum)) open(jobScript,"w+").write("#!/bin/bash\n"\ "#SBATCH -J test.{0}\n".format(jobNum) +\ "#SBATCH --output={0}\n".format(os.path.join(testPath, "out.{0}.txt".format(jobNum))) +\ "#SBATCH --error={0}\n".format(os.path.join(testPath, "out.{0}.txt".format(jobNum))) +\ "sleep 20s") st = os.stat(jobScript) os.chmod(jobScript, st.st_mode | stat.S_IEXEC) out, err = subprocess.Popen([os.path.join(this_directory, "procman.py"),\ jobScript], stdout=PIPE).communicate() if err != None: sys.exit(err) print "ProcMan {0}: Queued Job {0}".format(j, out) print "ProcMan {0}: Starting Jobs".format(j) subprocess.Popen([os.path.join(this_directory, "procman.py"),\ "-S", "-t", "5"], stdout=PIPE) out = "" while out != "Nothing Active": time.sleep(1) out, err = subprocess.Popen([os.path.join(this_directory, "procman.py"),\ "-p"], stdout=PIPE).communicate() out = out.strip() if err != None: sys.exit(err) print out print "Multi-ProcMan test passed" shutil.rmtree(testPath) def main(): parser = OptionParser() parser.add_option("-s", "--selfTest", dest="selfTest", help="launched the selftester.", action="store_true") parser.add_option("-f", "--file", dest="file", help="File with the processes to manage.", default=procManStateFile) parser.add_option("-t", "--sleepTime", dest="sleepTime", help="Tune how often. ProcMan looks for completed jobs", type=int, default=30) parser.add_option("-c", "--cores", dest="cores", help="how many cores to use", type=int, default=psutil.cpu_count()) parser.add_option("-S", "--start", dest="start",action="store_true", help="Just spawn the manager") parser.add_option("-p", "--printState", dest="printState",action="store_true", help="Print the state of the manager") parser.add_option("-k", "--kill", dest="kill",action="store_true", help="Kill all managed processes") parser.add_option("-j", "--procManForJob", dest="procManForJob",default=None, type=int, help="Return the path of the pickle file for the ProcMan managing this job." ) (options, args) = parser.parse_args() if options.selfTest: selfTest() elif options.kill: procmanfiles = glob.glob(options.file + ".*") for f in procmanfiles: print "Killing active jobs in Procman: {0}".format(os.path.basename(f)) procMan = pickle.load(open(f)) procMan.killJobs() elif options.printState: numProcMans = 0 numQueued = 0 numActive = 0 numComplete = 0 procmanfiles = glob.glob(options.file + ".*") if len(procmanfiles) == 0: print "Nothing Active" else: for f in procmanfiles: numProcMans += 1 procMan = pickle.load(open(f)) numQueued += len(procMan.queuedJobs) numActive += len(procMan.activeJobs) numComplete += len(procMan.completeJobs) print "Procman: {0}".format(os.path.basename(f)) print procMan.getState() print "Total Procmans={0}, Total Queued={1}, Total Running={2}, Total Complete={3}"\ .format(numProcMans, numQueued, numActive, numComplete) elif options.start: if not os.path.exists(options.file): sys.exit("Nothing to start {0} does not exist".format(options.file)) procMan = pickle.load(open(options.file)) procMan.spawnProcMan(options.sleepTime) procMan.clear() procMan.saveState() elif options.procManForJob != None: procmanfiles = glob.glob(options.file + ".*") for f in procmanfiles: procMan = pickle.load(open(f)) j = procMan.getJob(options.procManForJob) if j != None: print procMan.pickleFile break elif len(args) == 1: # To make this work the same as torque and slurm - if you just give it one argument, # we assume it's a pointer to a job file you want to submit. if os.path.exists(options.file): procMan = pickle.load(open(options.file)) if not procMan.mutable: sys.exit("Error - this procman has already started") else: procMan = ProcMan(options.cores) exec_file = args[0] st = os.stat(exec_file) os.chmod(exec_file, st.st_mode | stat.S_IEXEC) # slurmToJob job = Job("","",os.getcwd(),exec_file) job.id = procMan.queueJob(job) contents = "" for line in open(exec_file).readlines(): if line.startswith("#SBATCH"): nameMatch = re.match(r"#SBATCH -J (.*)", line.strip()) if nameMatch: job.name = nameMatch.group(1) outFMatch = re.match(r"#SBATCH --output=(.*)", line.strip()) if outFMatch: job.outF = outFMatch.group(1) errFMatch = re.match(r"#SBATCH --error=(.*)", line.strip()) if errFMatch: job.errF = errFMatch.group(1) line = re.sub(r"\$SLURM_JOB_ID", str(job.id), line) contents += line with open(exec_file, "w+") as f: f.write(contents) job.outF = re.sub("\%j", str(job.id), job.outF) job.errF = re.sub("\%j", str(job.id), job.errF) procMan.saveState() print job.id else: options.file = common.file_option_test( options.file, "", this_directory ) if options.file == "": sys.exit("Please specify the file containing the processes to manage with -f.") procMan = pickle.load(open(options.file)) if procMan.tickingProcess!= None: sys.exit("This procman is already running {0}".format(os.path.basename(options.file))) procMan.pickleFile = options.file os.remove(options.file) if len(procMan.queuedJobs) > 0: while not procMan.complete(): procMan.tick() procMan.saveState() time.sleep(options.sleepTime) os.remove(procMan.pickleFile) if __name__ == '__main__': if not os.path.exists(procManStateFolder): os.makedirs(procManStateFolder) main()

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0.292544

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null

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null

0.072581

0

null

0

null

0

1

0

1

38e6e2acda50235d67dfac9f5ec598d66c8ddcc1

2,005

py

Python

nabu/processing/tfreaders/numpy_float_array_as_tfrecord_reader.py

Darleen2019/Nabu-MSSS

5e862cbf846d45b8a317f87588533f3fde9f0726

[ "MIT" ]

18

2017-10-16T13:12:46.000Z

2022-02-15T01:20:00.000Z

nabu/processing/tfreaders/numpy_float_array_as_tfrecord_reader.py

Darleen2019/Nabu-MSSS

5e862cbf846d45b8a317f87588533f3fde9f0726

[ "MIT" ]

null

nabu/processing/tfreaders/numpy_float_array_as_tfrecord_reader.py

Darleen2019/Nabu-MSSS

5e862cbf846d45b8a317f87588533f3fde9f0726

[ "MIT" ]

9

2017-10-03T18:10:10.000Z

2020-11-13T08:26:31.000Z

'''@file numpy_float_array_as_tfrecord_reader.py contains the NumpyFloatArrayAsTfrecordReader class''' import os import numpy as np import tensorflow as tf import tfreader import pdb class NumpyFloatArrayAsTfrecordReader(tfreader.TfReader): '''reader for numpy float arrays''' def _read_metadata(self, datadirs): '''read the input dimension Args: datadir: the directory where the metadata was written Returns: the metadata as a dictionary ''' metadata = dict() #read the non-time dimensions of the data with open(os.path.join(datadirs[0], 'nontime_dims')) as fid: metadata['nontime_dims'] = fid.read().strip().split(',') metadata['nontime_dims'] = map(int,metadata['nontime_dims']) for datadir in datadirs: with open(os.path.join(datadir, 'nontime_dims')) as fid: nontime_dims=fid.read().strip().split(',') nontime_dims=map(int,nontime_dims) if metadata['nontime_dims'] != nontime_dims: raise Exception( 'all reader dimensions must be the same') return metadata def _create_features(self): ''' creates the information about the features Returns: A dict mapping feature keys to FixedLenFeature, VarLenFeature, and SparseFeature values ''' return {'data': tf.FixedLenFeature([], dtype=tf.string)} def _process_features(self, features): '''process the read features features: A dict mapping feature keys to Tensor and SparseTensor values Returns: a pair of tensor and sequence length ''' data = tf.decode_raw(features['data'], tf.float32) resh_dims = [-1] + self.metadata['nontime_dims'] data = tf.reshape(data, resh_dims) sequence_length = tf.shape(data)[0] return data, sequence_length

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0.293766

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null

0

null

0

null

0

1

0

1

38e9981ca280b378dc3584ec5d46dac7194e4dbd

643

py

Python

apps/telegram_bot/bot/filters.py

alena-kono/bot-valley

e8403f75bcd4e4b3f84bbe8c00a53d763e7c9776

[ "MIT" ]

null

apps/telegram_bot/bot/filters.py

alena-kono/bot-valley

e8403f75bcd4e4b3f84bbe8c00a53d763e7c9776

[ "MIT" ]

1

2022-03-01T12:18:11.000Z

apps/telegram_bot/bot/filters.py

alena-kono/bot-valley

e8403f75bcd4e4b3f84bbe8c00a53d763e7c9776

[ "MIT" ]

null

import telegram from telegram.ext.filters import MessageFilter from apps.telegram_bot.preferences import global_preferences class CryptoCurrencyFilter(MessageFilter): """A custom MessageFilter that filters telegram text messages by the condition of entering the list of BUTTONS_CRYPTO_CURRENCIES_FROM. """ def filter(self, message: telegram.Message) -> bool: currencies_str = global_preferences.get("buttons__crypto_currencies_from") currencies_str.replace(" ", "") currencies_list = currencies_str.split(",") if message.text in currencies_list: return True return False

33.842105

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643

18

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35.722222

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0

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false

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0.636364

0

null

0

null

0

1

0

1

c7fbbec52e6a6987d6dd31cf694220a3b9b2bd09

301

py

Python

web crawler functions/get_next_target.py

akshaynagpal/python_web_crawler

a74af25db4c9f819105621868a6a9a7337a2a770

[ "MIT" ]

1

2022-03-06T21:00:45.000Z

web crawler functions/get_next_target.py

akshaynagpal/python_web_crawler

a74af25db4c9f819105621868a6a9a7337a2a770

[ "MIT" ]

null

web crawler functions/get_next_target.py

akshaynagpal/python_web_crawler

a74af25db4c9f819105621868a6a9a7337a2a770

[ "MIT" ]

null

def get_next_target(page): start_link = page.find('<a href=') if start_link == -1: return None,0 else: start_quote = page.find('"', start_link) end_quote = page.find('"', start_quote + 1) url = page[start_quote + 1:end_quote] return url, end_quote

27.363636

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0.162651

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301

10

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30.1

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0

0.333333

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null

0

1

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null

0

1

2a0340d6bee8c182f82274f58caefa62290e5be1

461

py

Python

configs/retinanet/retinanet_r50_fpn_1x_bdd100k.py

XDong18/mmdetection

482ada168a644f350d51d85783d309677441eeb0

[ "Apache-2.0" ]

null

configs/retinanet/retinanet_r50_fpn_1x_bdd100k.py

XDong18/mmdetection

482ada168a644f350d51d85783d309677441eeb0

[ "Apache-2.0" ]

null

configs/retinanet/retinanet_r50_fpn_1x_bdd100k.py

XDong18/mmdetection

482ada168a644f350d51d85783d309677441eeb0

[ "Apache-2.0" ]

null

_base_ = [ '../_base_/models/retinanet_r50_fpn.py', '../_base_/datasets/bdd100k_detection.py', '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py' ] # optimizer optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001) # model model = dict( bbox_head=dict( num_classes=10, # bdd100k class number ) ) # data loader data = dict( samples_per_gpu=4, # TODO samples pre gpu workers_per_gpu=2, )

20.954545

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0.063158

0

0.060686

0.177874

461

21

73

21.952381

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0

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false

0

null

0

null

0

1

0

1

2a0e1ca9345564e019c758529a1cb3634a3a9fae

296

py

Python

ergoservice/dashboard/models.py

damirmedakovic/ergoapp

38dec32aa2dbdd3ec27a8e911fc233dff7c7c499

[ "MIT" ]

null

ergoservice/dashboard/models.py

damirmedakovic/ergoapp

38dec32aa2dbdd3ec27a8e911fc233dff7c7c499

[ "MIT" ]

5

2020-06-05T23:32:29.000Z

2021-06-10T18:58:29.000Z

ergoservice/dashboard/models.py

damirmedakovic/ergoapp

38dec32aa2dbdd3ec27a8e911fc233dff7c7c499

[ "MIT" ]

null

from django.db import models # Create your models here. class Case(models.Model): name = models.CharField(max_length =100) email = models.EmailField(max_length=100, unique=True) message = models.CharField(max_length=500, blank=True) created_at = models.DateTimeField(auto_now_add=True)

22.769231

55

0.773649

43

296

5.186047

0.674419

0.121076

0.161435

0.215247

0

0.034615

0.121622

296

12

56

24.666667

0.823077

0.081081

0

1

0

false

0

0.166667

0

1

0

null

0

1

0

null

0

1

2a112329bea0c737e5460d8489595b646350f0f7

732

py

Python

logtf_analyser/tests/test_convert_id3_to_id64.py

cob16/logtf_analyzer

d7398da4fcf0dc64e2dfa7078e036a8189c81b77

[ "MIT" ]

null

logtf_analyser/tests/test_convert_id3_to_id64.py

cob16/logtf_analyzer

d7398da4fcf0dc64e2dfa7078e036a8189c81b77

[ "MIT" ]

null

logtf_analyser/tests/test_convert_id3_to_id64.py

cob16/logtf_analyzer

d7398da4fcf0dc64e2dfa7078e036a8189c81b77

[ "MIT" ]

null

from unittest import TestCase from parameterized import parameterized from logtf_analyser.utils import convert_id3_to_id64 class TestConvert_id3_to_id64(TestCase): def test_convert_id3_to_id64(self): id64 = convert_id3_to_id64("[U:1:22202]") self.assertEqual(id64, 76561197960287930) @parameterized.expand([ ("missing prefix", "22202]"), ("missing suffix", "[U:1:22202"), ]) def test_rase_value_error_if(self, name, input): with self.assertRaises(ValueError): id64 = convert_id3_to_id64(input) def test_rase_if_not_string(self): with self.assertRaises(TypeError): convert_id3_to_id64(122434234) convert_id3_to_id64(True)

28.153846

52

0.693989

92

732

5.184783

0.434783

0.073375

0.132075

0.201258

0.083857

0

0.121317

0.211749

732

25

53

29.28

0.705373

0

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0

0.166667

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0.166667

false

0

0.166667

0

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0

null

0

1

0

null

0

1

2a11e07673a89b3a3b7bcf3915b416ec6d3dad8d

5,716

py

Python

apps/blog/editer_user.py

jhjguxin/blogserver

7873e1a94d05859650ce88d50e241456f4ab43ed

[ "MIT" ]

3

2015-11-17T16:16:41.000Z

2018-07-07T13:34:18.000Z

apps/blog/editer_user.py

jhjguxin/blogserver

7873e1a94d05859650ce88d50e241456f4ab43ed

[ "MIT" ]

null

apps/blog/editer_user.py

jhjguxin/blogserver

7873e1a94d05859650ce88d50e241456f4ab43ed

[ "MIT" ]

1

2020-06-08T02:46:07.000Z

#!/usr/bin/env python # -*- coding: UTF-8 -*- from django.http import HttpResponse, HttpResponseRedirect from django.contrib.auth.decorators import login_required from django.utils.translation import ugettext as _ from django.shortcuts import render_to_response, get_object_or_404 from django.template import RequestContext from django.core.urlresolvers import reverse from django.contrib.auth.forms import PasswordResetForm,PasswordChangeForm,AdminPasswordChangeForm #from django.contrib.auth.models import User from dynamicresponse.response import * from forms import * from models import * from django.views.decorators.csrf import csrf_exempt import pdb """ def users(request): users = Users.objects.all() return render_to_response("users.html", { 'users': users }, RequestContext(request)) def test_js(request): return render_to_response('test_js.html', {}, RequestContext(request)) """ """ @ csrf_exempt def index_user(request): "Lists all blog user." if request.method == 'POST': user = User.objects.create(title=request.POST.get("title"), reviewer=request.POST.get("reviewer"), email=request.POST.get("email"),content=request.POST.get("content") ) user.save() form = RegisterForm(request.POST, instance=user) #users = Users.objects.all() else: form = RegisterForm(instance=None) users = User.objects.all() #pdb.set_trace() return SerializeOrRender('blog/index_user.html', { 'users': users }, extra={ 'form': form }) """ def users_list(request): "Lists all blog user." users = User.objects.all() return SerializeOrRender('blog/users_list.html', { 'users': users }) """ def delete_user(request, user_id): "Deletes the blog user." user = get_object_or_404(User.objects.all(), pk=user_id) if request.method == 'POST': user.delete() return SerializeOrRedirect(reverse('list_users'), {}, status=CR_DELETED) else: return SerializeOrRender('blog/delete_user.html', { 'user': user }, status=CR_CONFIRM) """ def register(request, user_id=None): """Displays, creates or updates a blog users.""" user = None if user_id: user = get_object_or_404(User.objects.all(), pk=user_id) if request.method == 'POST': form = RegisterForm(request.POST, instance=user) if form.is_valid(): user = form.save() return SerializeOrRedirect(reverse('users_list'), { 'user': user }) else: form = RegisterForm(instance=user) return SerializeOrRender('blog/user.html', { 'user': user }, extra={ 'form': form }) def u_change(request, user_id=None): """Displays, creates or updates a blog users.""" user = None if user_id: user = get_object_or_404(User.objects.all(), pk=user_id) if request.method == 'POST': form = U_ChangeForm(request.POST, instance=user) if form.is_valid(): user = form.save() return SerializeOrRedirect(reverse('users_list'), { 'user': user }) else: form = U_ChangeForm(instance=user) return SerializeOrRender('blog/user.html', { 'user': user }, extra={ 'form': form }) def passwordchange(request, user_id=None): password_change_form=PasswordChangeForm user = None if user_id: user = get_object_or_404(User.objects.get(id=user_id), pk=user_id) if request.method == 'POST': form = PasswordChangeForm(user, request.POST) if form.is_valid(): user = form.save() return SerializeOrRedirect(reverse('list_users'), { 'user': user }) else: form = password_change_form(user) return SerializeOrRender('blog/user.html', { 'user': user }, extra={ 'form': form }) """ def passwordchange(request, user_id=None): "Displays, creates or updates a blog users." user = None if user_id: user = get_object_or_404(User.objects.all(), pk=user_id) olduser=User.objects.get(id=user_id) if request.method == 'POST': form = U_PasswordChangeForm(request.POST, instance=user) if form.is_valid(): user = form.save() return SerializeOrRedirect(reverse('list_users'), { 'user': user }) # else: # form = U_PasswordChangeForm(instance=user) return SerializeOrRender('blog/user.html', { 'user': user }, extra={ 'form': form }) """ """ def passwordchange(request, is_admin_site=False, template_name='blog/user.html', email_template_name='registration/password_reset_email.html', password_reset_form=PasswordResetForm, token_generator=default_token_generator, post_reset_redirect=None): if post_reset_redirect is None: post_reset_redirect = reverse('django.contrib.auth.views.password_reset_done') if request.method == "POST": form = password_reset_form(request.POST) if form.is_valid(): opts = {} opts['use_https'] = request.is_secure() opts['token_generator'] = token_generator if is_admin_site: opts['domain_override'] = request.META['HTTP_HOST'] else: opts['email_template_name'] = email_template_name if not Site._meta.installed: opts['domain_override'] = RequestSite(request).domain form.save(**opts) return HttpResponseRedirect(post_reset_redirect) else: form = password_reset_form() return render_to_response(template_name, { 'form': form, }, context_instance=RequestContext(request)) """

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172

0.646956

671

5,716

5.33532

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0.026816

0.02933

0.037151

0.425698

0.386872

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null

0

null

0

1

0

1

2a15f841c908a1dfe49e0cb148931bd74de7aa9f

841

py

Python

Source/Tools/BindTool/writer.py

ssinai1/rbfx

e69a7093d153667e3d8dd3270449d3d594c1c1a8

[ "MIT" ]

441

2018-12-26T14:50:23.000Z

2021-11-05T03:13:27.000Z

Source/Tools/BindTool/writer.py

ssinai1/rbfx

e69a7093d153667e3d8dd3270449d3d594c1c1a8

[ "MIT" ]

221

2018-12-29T17:40:23.000Z

2021-11-06T21:41:55.000Z

Source/Tools/BindTool/writer.py

ssinai1/rbfx

e69a7093d153667e3d8dd3270449d3d594c1c1a8

[ "MIT" ]

101

2018-12-29T13:08:10.000Z

2021-11-02T09:58:37.000Z

class InterfaceWriter(object): def __init__(self, output_path): self._output_path_template = output_path + '/_{key}_{subsystem}.i' self._fp = { 'pre': {}, 'post': {}, } def _write(self, key, subsystem, text): subsystem = subsystem.lower() fp = self._fp[key].get(subsystem) if fp is None: self._fp[key][subsystem] = fp = open(self._output_path_template.format(key=key, subsystem=subsystem), 'w+') fp.write(text) fp.write('\n') def write_pre(self, subsystem, text): self._write('pre', subsystem, text) def write_post(self, subsystem, text): self._write('post', subsystem, text) def close(self): for fp_map in self._fp.values(): for fp in fp_map.values(): fp.close()

30.035714

119

0.567182

102

841

4.431373

0.303922

0.143805

0.09292

0.097345

0.115044

0

0.290131

841

27

120

31.148148

0.757119

0

0.046429

0.025

0

1

0.227273

false

0

0.272727

0

null

0

null

0

1

0

1

2a1b32d6549e142ab87a8c6dd798f43bdbbe5e9f

685

py

Python

gitzer/director/migrations/0001_initial.py

IgnisDa/Gitzer

6810ee7ca6b9d86d7d87745342850a8be58d1865

[ "Apache-2.0" ]

2

2021-01-24T07:44:28.000Z

2021-01-30T22:12:43.000Z

gitzer/director/migrations/0001_initial.py

IgnisDa/Gitzer

6810ee7ca6b9d86d7d87745342850a8be58d1865

[ "Apache-2.0" ]

null

gitzer/director/migrations/0001_initial.py

IgnisDa/Gitzer

6810ee7ca6b9d86d7d87745342850a8be58d1865

[ "Apache-2.0" ]

null

# Generated by Django 3.1.5 on 2021-01-16 08:15 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Repository', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('path', models.CharField(help_text='The absolute path to the local git repository.', max_length=500)), ('created_on', models.DateTimeField(auto_now_add=True, help_text='The date and time this repository was logged on.')), ], ), ]

29.782609

134

0.617518

80

685

5.175

0.7125

0.038647

0.05314

0

0.035857

0.267153

685

22

135

31.136364

0.788845

0.065693

0

1

0

0.191223

0

1

0

false

0

0.066667

0

0.333333

0

null

0

1

0

null

0

1

2a1c70b9d1e40d06c382598343320ee23443054f

2,668

py

Python

model_based/svms/test_model_compression.py

vohoaiviet/tag-image-retrieval

0a257560581f702cd394f3f28c9e0f6202827ce8

[ "MIT" ]

50

2015-11-04T15:53:09.000Z

2022-01-03T14:46:17.000Z

model_based/svms/test_model_compression.py

vohoaiviet/tag-image-retrieval

0a257560581f702cd394f3f28c9e0f6202827ce8

[ "MIT" ]

2

2018-03-07T09:51:50.000Z

2018-10-13T11:05:13.000Z

model_based/svms/test_model_compression.py

vohoaiviet/tag-image-retrieval

0a257560581f702cd394f3f28c9e0f6202827ce8

[ "MIT" ]

17

2015-10-26T03:41:49.000Z

2021-08-23T08:11:05.000Z

import sys import os import time from basic.common import ROOT_PATH,checkToSkip,makedirsforfile from basic.util import readImageSet from simpleknn.bigfile import BigFile, StreamFile from basic.annotationtable import readConcepts,readAnnotationsFrom from basic.metric import getScorer if __name__ == "__main__": try: rootpath = sys.argv[1] except: rootpath = ROOT_PATH metric = 'AP' feature = "dsift" trainCollection = 'voc2008train' trainAnnotationName = 'conceptsvoc2008train.txt' testCollection = 'voc2008val' testAnnotationName = 'conceptsvoc2008val.txt' testset = testCollection modelName = 'fik50' modelName = 'fastlinear' if 'fastlinear' == modelName: from fastlinear.fastlinear import fastlinear_load_model as load_model else: from fiksvm.fiksvm import fiksvm_load_model as load_model scorer = getScorer(metric) imset = readImageSet(testCollection,testset,rootpath=rootpath) concepts = readConcepts(testCollection,testAnnotationName,rootpath=rootpath) feat_dir = os.path.join(rootpath, testCollection, "FeatureData", feature) feat_file = BigFile(feat_dir) _renamed, _vectors = feat_file.read(imset) nr_of_images = len(_renamed) nr_of_concepts = len(concepts) mAP = 0.0 models = [None] * len(concepts) for i,concept in enumerate(concepts): model_file_name = os.path.join(rootpath,trainCollection,'Models',trainAnnotationName,feature, modelName, '%s.model'%concept) model1 = load_model(model_file_name) (pA,pB) = model1.get_probAB() model2 = load_model(model_file_name) model2.add_fastsvm(model1, 0.8, 1) names,labels = readAnnotationsFrom(testCollection, testAnnotationName, concept, rootpath=rootpath) name2label = dict(zip(names,labels)) ranklist1 = [(_id, model1.predict(_vec)) for _id,_vec in zip(_renamed, _vectors)] ranklist2 = [(_id, model2.predict(_vec)) for _id,_vec in zip(_renamed, _vectors)] model_file_name = os.path.join(rootpath,trainCollection,'Models', 'bag' + trainAnnotationName,feature, modelName, '%s.model'%concept) model3 = load_model(model_file_name) ranklist3 = [(_id, model3.predict(_vec)) for _id,_vec in zip(_renamed, _vectors)] print concept, for ranklist in [ranklist1, ranklist2, ranklist3]: ranklist.sort(key=lambda v:v[1], reverse=True) sorted_labels = [name2label[x[0]] for x in ranklist if x[0] in name2label] print '%.3f'%scorer.score(sorted_labels), print ''

31.388235

141

0.687031

298

2,668

5.942953

0.365772

0.035573

0.036702

0.030491

0.23546

0.175607

0.1214

0

0.02202

0.217016

2,668

84

142

31.761905

0.825754

0

0.057743

0.017248

0

null

0

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null

0.054545

0

null

0

null

0

1

0

1

2a291bb3879db1c009a0ad3fab6dd256c7e79e33

1,646

py

Python

gemini/bin/gemini_python.py

codes1gn/gemini

4b173ea583f2578244d1d0fb482ccb77818f7558

[ "MIT" ]

null

gemini/bin/gemini_python.py

codes1gn/gemini

4b173ea583f2578244d1d0fb482ccb77818f7558

[ "MIT" ]

null

gemini/bin/gemini_python.py

codes1gn/gemini

4b173ea583f2578244d1d0fb482ccb77818f7558

[ "MIT" ]

null

import sys import traceback import copy import importlib from gemini.gemini_compiler import * from gemini.utils import * def main(argv=sys.argv[1:]): print('gemini compiler entry point') filename = copy.deepcopy(argv[0]) arguments = copy.deepcopy(argv[1:]) compiler = GeminiCompiler() src_code = read_src(filename) assert 'gemini_python' in sys.argv[0] # step 1, parse src code compiler.parse(src_code, filename=filename) compiler.dump(pretty=True, prefix='src_parse') assert 1, 'step 1 parse src' # patch, fix import gemini # _plugin = importlib.import_module('gemini.plugins.bert_plugin') # sys.modules['gemini'] = _plugin # step 2, parse modules compiler.parse_modules() compiler.dump(pretty=True, prefix='parse_module') assert 1, 'step 2 parse module' # TODO(albert) construct config, use dummy string instead config = Configuration() print(config) compiler.apply_model_parallel(config) compiler.dump(pretty=True, prefix='apply_{}_passes'.format(config.mode)) assert 1, 'step 3 apply sharding mode' use_ast = False # TODO(albert) have bug when not use_ast if not use_ast: try: compiler.compile_and_run(use_ast=False) print('try run src success') except Exception: print('try run src fail') traceback.print_exc() else: try: compiler.compile_and_run(use_ast=True) print('try run ast success') except Exception: print('try run ast fail') traceback.print_exc() if __name__ == '__main__': main()

27.433333

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4.924528

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0.042146

0.063218

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0.12069

0.057471

0

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0.242406

1,646

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1

0.02439

false

0.02439

0.146341

0

0.170732

0.195122

0

null

0

null

0

1

0

1

2a2949f385ec93a057a10d2a09d0bd12596b5253

1,535

py

Python

veselin-angelov-ekatte/create_database.py

veselin-angelov/training-projects

f02a29eed57d60720fe66e76af483d2b1f689bfd

[ "Apache-2.0" ]

null

veselin-angelov-ekatte/create_database.py

veselin-angelov/training-projects

f02a29eed57d60720fe66e76af483d2b1f689bfd

[ "Apache-2.0" ]

null

veselin-angelov-ekatte/create_database.py

veselin-angelov/training-projects

f02a29eed57d60720fe66e76af483d2b1f689bfd

[ "Apache-2.0" ]

null

from helpers import create_connection, execute_query connection = create_connection( "postgres", "postgres", "admin", "127.0.0.1", "5432" ) create_database_query = "CREATE DATABASE ekatte" execute_query(connection, create_database_query) connection = create_connection( "ekatte", "postgres", "admin", "127.0.0.1", "5432" ) create_area_query = ''' CREATE TABLE IF NOT EXISTS "areas" ( "id" serial NOT NULL UNIQUE, "name" TEXT NOT NULL UNIQUE, "code" TEXT NOT NULL UNIQUE, CONSTRAINT "area_pk" PRIMARY KEY ("code") ); ''' create_municipality_query = ''' CREATE TABLE IF NOT EXISTS "municipalities" ( "id" serial NOT NULL UNIQUE, "name" TEXT NOT NULL, "code" TEXT NOT NULL UNIQUE, "area_code" TEXT NOT NULL, CONSTRAINT "municipalities_pk" PRIMARY KEY ("code"), CONSTRAINT "municipalities_fk0" FOREIGN KEY ("area_code") REFERENCES "areas"("code") ); ''' create_settlements_query = ''' CREATE TABLE IF NOT EXISTS "settlements" ( "id" serial NOT NULL, "ekatte" TEXT NOT NULL UNIQUE, "type" TEXT NOT NULL, "name" TEXT NOT NULL, "municipality_code" TEXT NOT NULL, CONSTRAINT "settlements_pk" PRIMARY KEY ("id"), CONSTRAINT "settlements_fk0" FOREIGN KEY ("municipality_code") REFERENCES "municipalities"("code") ); ''' execute_query(connection, create_area_query) execute_query(connection, create_municipality_query) execute_query(connection, create_settlements_query)

31.326531

106

0.672964

180

1,535

5.555556

0.216667

0.084

0.099

0.14

0.369

0.211

0.13

0.072

0

0.018257

0.214984

1,535

48

107

31.979167

0.811618

0

0.341463

0

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0.029316

0

1

0

false

0

0.02439

0

0.02439

0

null

0

1

0

null

0

1

2a29f26fbea0a3dc55f5442506c8f8e9d6c38803

1,053

py

Python

api/model.py

thomashusken/img-class

0ceead70f4e30face409069fb49d02fb927abc03

[ "MIT" ]

null

api/model.py

thomashusken/img-class

0ceead70f4e30face409069fb49d02fb927abc03

[ "MIT" ]

2

2022-01-13T01:20:18.000Z

2022-03-11T23:50:06.000Z

api/model.py

thomashusken/img-class

0ceead70f4e30face409069fb49d02fb927abc03

[ "MIT" ]

null

from torchvision import models import json import numpy as np import torch from collections import OrderedDict from operator import itemgetter import os def return_top_5(processed_image): # inception = models.inception_v3(pretrained=True) inception = models.inception_v3() inception.load_state_dict(torch.load("data/inception_v3_google-1a9a5a14.pth")) inception.eval() result = inception(processed_image) #load imagenet classes class_idx = json.load(open('data/imagenet_class_index.json')) idx2label = [class_idx[str(k)][1] for k in range(len(class_idx))] result_idx = result.sort()[1][0][-5:] #exponentiate and get probabilities exps = np.exp(result.detach().numpy()[0]) exps_sum = np.sum(exps) softmax = [np.round((j / exps_sum)*100, 2) for j in exps] out = [] for idx in result_idx: out.append((idx2label[idx], softmax[idx])) # out = {k: v for k, v in dict(out).items()} result = OrderedDict(sorted(dict(out).items(), key=itemgetter(1), reverse=True)) return result

31.909091

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31.909091

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null

0

1

0

1

2a2ef0f35e15ed911d8da568d2fb240bfd2a6fd8

5,551

py

Python

ppobyter/marketplace/abilities.py

graatje/highscoresbot

26207b8191ed6c9a3d7ecd49fea482e6d3603c36

[ "MIT" ]

null

ppobyter/marketplace/abilities.py

graatje/highscoresbot

26207b8191ed6c9a3d7ecd49fea482e6d3603c36

[ "MIT" ]

null

ppobyter/marketplace/abilities.py

graatje/highscoresbot

26207b8191ed6c9a3d7ecd49fea482e6d3603c36

[ "MIT" ]

null

abilities = {1: 'Stench', 2: 'Drizzle', 3: 'Speed Boost', 4: 'Battle Armor', 5: 'Sturdy', 6: 'Damp', 7: 'Limber', 8: 'Sand Veil', 9: 'Static', 10: 'Volt Absorb', 11: 'Water Absorb', 12: 'Oblivious', 13: 'Cloud Nine', 14: 'Compound Eyes', 15: 'Insomnia', 16: 'Color Change', 17: 'Immunity', 18: 'Flash Fire', 19: 'Shield Dust', 20: 'Own Tempo', 21: 'Suction Cups', 22: 'Intimidate', 23: 'Shadow Tag', 24: 'Rough Skin', 25: 'Wonder Guard', 26: 'Levitate', 27: 'Effect Spore', 28: 'Synchronize', 29: 'Clear Body', 30: 'Natural Cure', 31: 'Lightning Rod', 32: 'Serene Grace', 33: 'Swift Swim', 34: 'Chlorophyll', 35: 'Illuminate', 36: 'Trace', 37: 'Huge Power', 38: 'Poison Point', 39: 'Inner Focus', 40: 'Magma Armor', 41: 'Water Veil', 42: 'Magnet Pull', 43: 'Soundproof', 44: 'Rain Dish', 45: 'Sand Stream', 46: 'Pressure', 47: 'Thick Fat', 48: 'Early Bird', 49: 'Flame Body', 50: 'Run Away', 51: 'Keen Eye', 52: 'Hyper Cutter', 53: 'Pickup', 54: 'Truant', 55: 'Hustle', 56: 'Cute Charm', 57: 'Plus', 58: 'Minus', 59: 'Forecast', 60: 'Sticky Hold', 61: 'Shed Skin', 62: 'Guts', 63: 'Marvel Scale', 64: 'Liquid Ooze', 65: 'Overgrow', 66: 'Blaze', 67: 'Torrent', 68: 'Swarm', 69: 'Rock Head', 70: 'Drought', 71: 'Arena Trap', 72: 'Vital Spirit', 73: 'White Smoke', 74: 'Pure Power', 75: 'Shell Armor', 76: 'Air Lock', 77: 'Tangled Feet', 78: 'Motor Drive', 79: 'Rivalry', 80: 'Steadfast', 81: 'Snow Cloak', 82: 'Gluttony', 83: 'Anger Point', 84: 'Unburden', 85: 'Heatproof', 86: 'Simple', 87: 'Dry Skin', 88: 'Download', 89: 'Iron Fist', 90: 'Poison Heal', 91: 'Adaptability', 92: 'Skill Link', 93: 'Hydration', 94: 'Solar Power', 95: 'Quick Feet', 96: 'Normalize', 97: 'Sniper', 98: 'Magic Guard', 99: 'No Guard', 100: 'Stall', 101: 'Technician', 102: 'Leaf Guard', 103: 'Klutz', 104: 'Mold Breaker', 105: 'Super Luck', 106: 'Aftermath', 107: 'Anticipation', 108: 'Forewarn', 109: 'Unaware', 110: 'Tinted Lens', 111: 'Filter', 112: 'Slow Start', 113: 'Scrappy', 114: 'Storm Drain', 115: 'Ice Body', 116: 'Solid Rock', 117: 'Snow Warning', 118: 'Honey Gather', 119: 'Frisk', 120: 'Reckless', 121: 'Multitype', 122: 'Flower Gift', 123: 'Bad Dreams', 124: 'Pickpocket', 125: 'Sheer Force', 126: 'Contrary', 127: 'Unnerve', 128: 'Defiant', 129: 'Defeatist', 130: 'Cursed Body', 131: 'Healer', 132: 'Friend Guard', 133: 'Weak Armor', 134: 'Heavy Metal', 135: 'Light Metal', 136: 'Multiscale', 137: 'Toxic Boost', 138: 'Flare Boost', 139: 'Harvest', 140: 'Telepathy', 141: 'Moody', 142: 'Overcoat', 143: 'Poison Touch', 144: 'Regenerator', 145: 'Big Pecks', 146: 'Sand Rush', 147: 'Wonder Skin', 148: 'Analytic', 149: 'Illusion', 150: 'Imposter', 151: 'Infiltrator', 152: 'Mummy', 153: 'Moxie', 154: 'Justified', 155: 'Rattled', 156: 'Magic Bounce', 157: 'Sap Sipper', 158: 'Prankster', 159: 'Sand Force', 160: 'Iron Barbs', 161: 'Zen Mode', 162: 'Victory Star', 163: 'Turboblaze', 164: 'Teravolt', 165: 'Aroma Veil', 166: 'Flower Veil', 167: 'Cheek Pouch', 168: 'Protean', 169: 'Fur Coat', 170: 'Magician', 171: 'Bulletproof', 172: 'Competitive', 173: 'Strong Jaw', 174: 'Refrigerate', 175: 'Sweet Veil', 176: 'Stance Change', 177: 'Gale Wings', 178: 'Mega Launcher', 179: 'Grass Pelt', 180: 'Symbiosis', 181: 'Tough Claws', 182: 'Pixilate', 183: 'Gooey', 184: 'Aerilate', 185: 'Parental Bond', 186: 'Dark Aura', 187: 'Fairy Aura', 188: 'Aura Break', 189: 'Primordial Sea', 190: 'Desolate Land', 191: 'Delta Stream', 192: 'Stamina', 193: 'Wimp Out', 194: 'Emergency Exit', 195: 'Water Compaction', 196: 'Merciless', 197: 'Shields Down', 198: 'Stakeout', 199: 'Water Bubble', 200: 'Steelworker', 201: 'Berserk', 202: 'Slush Rush', 203: 'Long Reach', 204: 'Liquid Voice', 205: 'Triage', 206: 'Galvanize', 207: 'Surge Surfer', 208: 'Schooling', 209: 'Disguise', 210: 'Battle Bond', 211: 'Power Construct', 212: 'Corrosion', 213: 'Comatose', 214: 'Queenly Majesty', 215: 'Innards Out', 216: 'Dancer', 217: 'Battery', 218: 'Fluffy', 219: 'Dazzling', 220: 'Soul-Heart', 221: 'Tangling Hair', 222: 'Receiver', 223: 'Power of Alchemy', 224: 'Beast Boost', 225: 'RKS System', 226: 'Electric Surge', 227: 'Psychic Surge', 228: 'Misty Surge', 229: 'Grassy Surge', 230: 'Full Metal Body', 231: 'Shadow Shield', 232: 'Prism Armor', 233: 'Neuroforce', 234: 'Intrepid Sword', 235: 'Dauntless Shield', 236: 'Libero', 237: 'Ball Fetch', 238: 'Cotton Down', 239: 'Propeller Tail', 240: 'Mirror Armor', 241: 'Gulp Missile', 242: 'Stalwart', 243: 'Steam Engine', 244: 'Punk Rock', 245: 'Sand Spit', 246: 'Ice Scales', 247: 'Ripen', 248: 'Ice Face', 249: 'Power Spot', 250: 'Mimicry', 251: 'Screen Cleaner', 252: 'Steely Spirit', 253: 'Perish Body', 254: 'Wandering Spirit', 255: 'Gorilla Tactics', 256: 'Neutralizing Gas', 257: 'Pastel Veil', 258: 'Hunger Switch', 259: 'Quick Draw', 260: 'Unseen Fist', 261: 'Curious Medicine', 262: 'Transistor', 263: "Dragon's Maw", 264: 'Chilling Neigh', 265: 'Grim Neigh', 266: 'As One', 267: 'As One'}

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false

0

null

0

1

0

null

0

1

2a326bdb7af710f5433ff63b32a58d49b24260c8

3,951

py

Python

strictdoc/backend/sdoc/grammar/grammar.py

BenGardiner/strictdoc

c927872a8f080ca1f86cdb7e99767fb25398dbd5

[ "Apache-2.0" ]

null

strictdoc/backend/sdoc/grammar/grammar.py

BenGardiner/strictdoc

c927872a8f080ca1f86cdb7e99767fb25398dbd5

[ "Apache-2.0" ]

3

2022-02-21T10:57:01.000Z

2022-02-21T13:22:23.000Z

strictdoc/backend/sdoc/grammar/grammar.py

BenGardiner/strictdoc

c927872a8f080ca1f86cdb7e99767fb25398dbd5

[ "Apache-2.0" ]

null

STRICTDOC_GRAMMAR = r""" Document[noskipws]: '[DOCUMENT]' '\n' // NAME: is deprecated. Both documents and sections now have TITLE:. (('NAME: ' name = /.*$/ '\n') | ('TITLE: ' title = /.*$/ '\n')?) (config = DocumentConfig)? ('\n' grammar = DocumentGrammar)? free_texts *= SpaceThenFreeText section_contents *= SectionOrRequirement ; ReservedKeyword[noskipws]: 'DOCUMENT' | 'GRAMMAR' ; DocumentGrammar[noskipws]: '[GRAMMAR]' '\n' 'ELEMENTS:' '\n' elements += GrammarElement ; GrammarElement[noskipws]: '- TAG: ' tag = RequirementType '\n' ' FIELDS:' '\n' fields += GrammarElementField ; GrammarElementField[noskipws]: GrammarElementFieldString | GrammarElementFieldSingleChoice | GrammarElementFieldMultipleChoice | GrammarElementFieldTag ; GrammarElementFieldString[noskipws]: ' - TITLE: ' title=FieldName '\n' ' TYPE: String' '\n' ' REQUIRED: ' (required = BooleanChoice) '\n' ; GrammarElementFieldSingleChoice[noskipws]: ' - TITLE: ' title=FieldName '\n' ' TYPE: SingleChoice' '(' ((options = ChoiceOption) (options *= ChoiceOptionXs)) ')' '\n' ' REQUIRED: ' (required = BooleanChoice) '\n' ; GrammarElementFieldMultipleChoice[noskipws]: ' - TITLE: ' title=FieldName '\n' ' TYPE: MultipleChoice' '(' ((options = ChoiceOption) (options *= ChoiceOptionXs)) ')' '\n' ' REQUIRED: ' (required = BooleanChoice) '\n' ; GrammarElementFieldTag[noskipws]: ' - TITLE: ' title=FieldName '\n' ' TYPE: Tag' '\n' ' REQUIRED: ' (required = BooleanChoice) '\n' ; BooleanChoice[noskipws]: ('True' | 'False') ; DocumentConfig[noskipws]: ('VERSION: ' version = /.*$/ '\n')? ('NUMBER: ' number = /.*$/ '\n')? ('OPTIONS:' '\n' (' MARKUP: ' (markup = MarkupChoice) '\n')? (' AUTO_LEVELS: ' (auto_levels = AutoLevelsChoice) '\n')? )? ; MarkupChoice[noskipws]: 'RST' | 'Text' | 'HTML' ; AutoLevelsChoice[noskipws]: 'On' | 'Off' ; Section[noskipws]: '[SECTION]' '\n' ('UID: ' uid = /.+$/ '\n')? ('LEVEL: ' level = /.*/ '\n')? 'TITLE: ' title = /.*$/ '\n' free_texts *= SpaceThenFreeText section_contents *= SectionOrRequirement '\n' '[/SECTION]' '\n' ; SectionOrRequirement[noskipws]: '\n' (Section | Requirement | CompositeRequirement) ; SpaceThenRequirement[noskipws]: '\n' (Requirement | CompositeRequirement) ; SpaceThenFreeText[noskipws]: '\n' (FreeText) ; ReservedKeyword[noskipws]: 'DOCUMENT' | 'GRAMMAR' | 'SECTION' | 'FREETEXT' ; Requirement[noskipws]: '[' !CompositeRequirementTagName requirement_type = RequirementType ']' '\n' fields *= RequirementField ; CompositeRequirementTagName[noskipws]: 'COMPOSITE_' ; RequirementType[noskipws]: !ReservedKeyword /[A-Z]+(_[A-Z]+)*/ ; RequirementField[noskipws]: ( field_name = 'REFS' ':' '\n' (field_value_references += Reference) ) | ( field_name = FieldName ':' ( ((' ' field_value = SingleLineString | field_value = '') '\n') | (' ' (field_value_multiline = MultiLineString) '\n') ) ) ; CompositeRequirement[noskipws]: '[COMPOSITE_' requirement_type = RequirementType ']' '\n' fields *= RequirementField requirements *= SpaceThenRequirement '\n' '[/COMPOSITE_REQUIREMENT]' '\n' ; ChoiceOption[noskipws]: /[\w\/-]+( *[\w\/-]+)*/ ; ChoiceOptionXs[noskipws]: /, /- ChoiceOption ; RequirementStatus[noskipws]: 'Draft' | 'Active' | 'Deleted'; RequirementComment[noskipws]: 'COMMENT: ' ( comment_single = SingleLineString | comment_multiline = MultiLineString ) '\n' ; FreeText[noskipws]: '[FREETEXT]' '\n' parts+=TextPart FreeTextEnd ; FreeTextEnd: /^/ '[/FREETEXT]' '\n'; TextPart[noskipws]: (InlineLink | NormalString) ; NormalString[noskipws]: (!SpecialKeyword !FreeTextEnd /(?ms)./)* ; SpecialKeyword: InlineLinkStart // more keywords are coming later ; InlineLinkStart: '[LINK: '; InlineLink[noskipws]: InlineLinkStart value = /[^\]]*/ ']' ; """

20.365979

78

0.638826

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0.19912

0.056777

0

0.176158

3,951

193

79

20.471503

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0

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0

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0.258669

0

1

0

false

0

null

0

1

0

null

0

1

2a4151beaa3590019a94a7fe55fcae4fc19b8066

1,826

py

Python

IMfunctions.py

KartoffelCheetah/personal-website-001

c0700687ef90cc9a8a26c13af158fc91ee30a647

[ "MIT" ]

null

IMfunctions.py

KartoffelCheetah/personal-website-001

c0700687ef90cc9a8a26c13af158fc91ee30a647

[ "MIT" ]

7

2017-10-04T15:22:23.000Z

2018-02-08T18:31:21.000Z

IMfunctions.py

KartoffelCheetah/personal-website-001

c0700687ef90cc9a8a26c13af158fc91ee30a647

[ "MIT" ]

null

#!/usr/bin/env python3.5 #-*- coding:utf-8 -*- """Functions handling images.""" import subprocess import os # supported ImageMagic Formats? def getDateTimeOriginal(filePath) : """If image has DateTimeOriginal then returns it as a string. If it's missing or there isn't EXIF at all then returns empty string.""" return subprocess.check_output(['identify', '-format', '%[EXIF:DateTimeOriginal]', filePath], timeout=3).decode('utf8').strip() def getDimensions(filePath) : """Returns dimensions of image in a tuple.""" x,y = subprocess.check_output(['identify', '-format', '%[w]x%[h]', filePath], timeout=3).decode('utf8').strip().split('x') return int(x), int(y) def createThumbnail(originPath, destinationPath, size='200x200') : """Creates a thumbnail image out of originPath in destinationPath of size (which defaults to maxWidth:200, maxHeight:200) and keeps ratio. The function creates directory if not exists already. Returns the subprocess's response.""" print('Create thumbnail -> %s' % destinationPath) destDirPath = os.path.split(destinationPath)[0] if not os.path.exists(destDirPath) : os.makedirs(destDirPath) return subprocess.run(['convert', originPath, '-auto-orient', '-thumbnail', size, destinationPath], timeout=3) def createRotatedImage(originPath, destinationPath) : """Creates a rotated image out of originPath in destinationPath. EXIF orientation will be adjusted with the rotation. The function creates directory if not exists already. Returns the subprocess's response.""" print('Create rotatedImage -> %s' % destinationPath) destDirPath = os.path.split(destinationPath)[0] if not os.path.exists(destDirPath) : os.makedirs(destDirPath) return subprocess.run(['convert', originPath, '-auto-orient', destinationPath], timeout=3)

58.903226

234

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5.790393

0.454148

0.024133

0.031674

0.043741

0.508296

0.455505

0.352941

0

0.014668

0.141292

1,826

30

235

60.866667

0.830995

0.382256

0

0.315789

0

0.158182

0.021818

0

1

0.210526

false

0

0.105263

0

0.526316

0.105263

0

null

0

null

0

1

0

1

2a4164567c21ed5336f207306a71b8f7e94eae41

18,415

py

Python

plugins/modules/oci_resource_manager_template.py

slmjy/oci-ansible-collection

349c91e2868bf4706a6e3d6fb3b47fc622bfe11b

[ "Apache-2.0" ]

108

2020-05-19T20:46:10.000Z

2022-03-25T14:10:01.000Z

plugins/modules/oci_resource_manager_template.py

slmjy/oci-ansible-collection

349c91e2868bf4706a6e3d6fb3b47fc622bfe11b

[ "Apache-2.0" ]

90

2020-06-14T22:07:11.000Z

2022-03-07T05:40:29.000Z

plugins/modules/oci_resource_manager_template.py

slmjy/oci-ansible-collection

349c91e2868bf4706a6e3d6fb3b47fc622bfe11b

[ "Apache-2.0" ]

42

2020-08-30T23:09:12.000Z

2022-03-25T16:58:01.000Z

#!/usr/bin/python # Copyright (c) 2020, 2021 Oracle and/or its affiliates. # This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license. # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) # Apache License v2.0 # See LICENSE.TXT for details. # GENERATED FILE - DO NOT EDIT - MANUAL CHANGES WILL BE OVERWRITTEN from __future__ import absolute_import, division, print_function __metaclass__ = type ANSIBLE_METADATA = { "metadata_version": "1.1", "status": ["preview"], "supported_by": "community", } DOCUMENTATION = """ --- module: oci_resource_manager_template short_description: Manage a Template resource in Oracle Cloud Infrastructure description: - This module allows the user to create, update and delete a Template resource in Oracle Cloud Infrastructure - For I(state=present), creates a private template in the specified compartment. - "This resource has the following action operations in the M(oracle.oci.oci_resource_manager_template_actions) module: change_compartment." version_added: "2.9.0" author: Oracle (@oracle) options: compartment_id: description: - The L(OCID,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing this template. - Required for create using I(state=present). type: str display_name: description: - The template's display name. Avoid entering confidential information. - Required for create using I(state=present). - Required for update, delete when environment variable C(OCI_USE_NAME_AS_IDENTIFIER) is set. - This parameter is updatable when C(OCI_USE_NAME_AS_IDENTIFIER) is not set. type: str aliases: ["name"] description: description: - Description of the template. Avoid entering confidential information. - Required for create using I(state=present). - This parameter is updatable. type: str long_description: description: - Detailed description of the template. This description is displayed in the Console page listing templates when the template is expanded. Avoid entering confidential information. - This parameter is updatable. type: str logo_file_base64_encoded: description: - "Base64-encoded logo to use as the template icon. Template icon file requirements: PNG format, 50 KB maximum, 110 x 110 pixels." - This parameter is updatable. type: str template_config_source: description: - "" - Required for create using I(state=present). - This parameter is updatable. type: dict suboptions: template_config_source_type: description: - Specifies the `configSourceType` for uploading the Terraform configuration. - This parameter is updatable. type: str choices: - "ZIP_UPLOAD" required: true zip_file_base64_encoded: description: - "" - This parameter is updatable. - Applicable when template_config_source_type is 'ZIP_UPLOAD' type: str freeform_tags: description: - "Free-form tags associated with the resource. Each tag is a key-value pair with no predefined name, type, or namespace. For more information, see L(Resource Tags,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{\\"Department\\": \\"Finance\\"}`" - This parameter is updatable. type: dict defined_tags: description: - "Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see L(Resource Tags,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{\\"Operations\\": {\\"CostCenter\\": \\"42\\"}}`" - This parameter is updatable. type: dict template_id: description: - The L(OCID,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the template. - Required for update using I(state=present) when environment variable C(OCI_USE_NAME_AS_IDENTIFIER) is not set. - Required for delete using I(state=absent) when environment variable C(OCI_USE_NAME_AS_IDENTIFIER) is not set. type: str aliases: ["id"] state: description: - The state of the Template. - Use I(state=present) to create or update a Template. - Use I(state=absent) to delete a Template. type: str required: false default: 'present' choices: ["present", "absent"] extends_documentation_fragment: [ oracle.oci.oracle, oracle.oci.oracle_creatable_resource, oracle.oci.oracle_wait_options ] """ EXAMPLES = """ - name: Create template oci_resource_manager_template: # required compartment_id: "ocid1.compartment.oc1..xxxxxxEXAMPLExxxxxx" display_name: display_name_example description: description_example template_config_source: # required template_config_source_type: ZIP_UPLOAD zip_file_base64_encoded: zip_file_base64_encoded_example # optional long_description: long_description_example logo_file_base64_encoded: logo_file_base64_encoded_example freeform_tags: {'Department': 'Finance'} defined_tags: {'Operations': {'CostCenter': 'US'}} - name: Update template oci_resource_manager_template: # required template_id: "ocid1.template.oc1..xxxxxxEXAMPLExxxxxx" # optional display_name: display_name_example description: description_example long_description: long_description_example logo_file_base64_encoded: logo_file_base64_encoded_example template_config_source: # required template_config_source_type: ZIP_UPLOAD zip_file_base64_encoded: zip_file_base64_encoded_example freeform_tags: {'Department': 'Finance'} defined_tags: {'Operations': {'CostCenter': 'US'}} - name: Update template using name (when environment variable OCI_USE_NAME_AS_IDENTIFIER is set) oci_resource_manager_template: # required display_name: display_name_example # optional description: description_example long_description: long_description_example logo_file_base64_encoded: logo_file_base64_encoded_example template_config_source: # required template_config_source_type: ZIP_UPLOAD zip_file_base64_encoded: zip_file_base64_encoded_example freeform_tags: {'Department': 'Finance'} defined_tags: {'Operations': {'CostCenter': 'US'}} - name: Delete template oci_resource_manager_template: # required template_id: "ocid1.template.oc1..xxxxxxEXAMPLExxxxxx" state: absent - name: Delete template using name (when environment variable OCI_USE_NAME_AS_IDENTIFIER is set) oci_resource_manager_template: # required display_name: display_name_example state: absent """ RETURN = """ template: description: - Details of the Template resource acted upon by the current operation returned: on success type: complex contains: id: description: - Unique identifier (L(OCID,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm)) for the template. returned: on success type: str sample: "ocid1.resource.oc1..xxxxxxEXAMPLExxxxxx" compartment_id: description: - The L(OCID,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/identifiers.htm) of the compartment containing this template. returned: on success type: str sample: "ocid1.compartment.oc1..xxxxxxEXAMPLExxxxxx" category_id: description: - Unique identifier for the category where the template is located. Possible values are `0` (Quick Starts), `1` (Service), `2` (Architecture), and `3` (Private). returned: on success type: str sample: "ocid1.category.oc1..xxxxxxEXAMPLExxxxxx" display_name: description: - Human-readable name of the template. returned: on success type: str sample: display_name_example description: description: - Brief description of the template. returned: on success type: str sample: description_example long_description: description: - Detailed description of the template. This description is displayed in the Console page listing templates when the template is expanded. Avoid entering confidential information. returned: on success type: str sample: long_description_example is_free_tier: description: - whether the template will work for free tier tenancy. returned: on success type: bool sample: true time_created: description: - "The date and time at which the template was created. Format is defined by RFC3339. Example: `2020-11-25T21:10:29.600Z`" returned: on success type: str sample: "2013-10-20T19:20:30+01:00" template_config_source: description: - "" returned: on success type: complex contains: template_config_source_type: description: - The type of configuration source to use for the template configuration. returned: on success type: str sample: ZIP_UPLOAD lifecycle_state: description: - The current lifecycle state of the template. returned: on success type: str sample: ACTIVE freeform_tags: description: - "Free-form tags associated with the resource. Each tag is a key-value pair with no predefined name, type, or namespace. For more information, see L(Resource Tags,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{\\"Department\\": \\"Finance\\"}`" returned: on success type: dict sample: {'Department': 'Finance'} defined_tags: description: - "Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see L(Resource Tags,https://docs.cloud.oracle.com/iaas/Content/General/Concepts/resourcetags.htm). Example: `{\\"Operations\\": {\\"CostCenter\\": \\"42\\"}}`" returned: on success type: dict sample: {'Operations': {'CostCenter': 'US'}} sample: { "id": "ocid1.resource.oc1..xxxxxxEXAMPLExxxxxx", "compartment_id": "ocid1.compartment.oc1..xxxxxxEXAMPLExxxxxx", "category_id": "ocid1.category.oc1..xxxxxxEXAMPLExxxxxx", "display_name": "display_name_example", "description": "description_example", "long_description": "long_description_example", "is_free_tier": true, "time_created": "2013-10-20T19:20:30+01:00", "template_config_source": { "template_config_source_type": "ZIP_UPLOAD" }, "lifecycle_state": "ACTIVE", "freeform_tags": {'Department': 'Finance'}, "defined_tags": {'Operations': {'CostCenter': 'US'}} } """ from ansible.module_utils.basic import AnsibleModule from ansible_collections.oracle.oci.plugins.module_utils import ( oci_common_utils, oci_wait_utils, ) from ansible_collections.oracle.oci.plugins.module_utils.oci_resource_utils import ( OCIResourceHelperBase, get_custom_class, ) try: from oci.resource_manager import ResourceManagerClient from oci.resource_manager.models import CreateTemplateDetails from oci.resource_manager.models import UpdateTemplateDetails HAS_OCI_PY_SDK = True except ImportError: HAS_OCI_PY_SDK = False class TemplateHelperGen(OCIResourceHelperBase): """Supported operations: create, update, get, list and delete""" def get_module_resource_id_param(self): return "template_id" def get_module_resource_id(self): return self.module.params.get("template_id") def get_get_fn(self): return self.client.get_template def get_resource(self): return oci_common_utils.call_with_backoff( self.client.get_template, template_id=self.module.params.get("template_id"), ) def get_required_kwargs_for_list(self): return dict() def get_optional_kwargs_for_list(self): optional_list_method_params = ["compartment_id", "template_id", "display_name"] return dict( (param, self.module.params[param]) for param in optional_list_method_params if self.module.params.get(param) is not None and ( self._use_name_as_identifier() or ( not self.module.params.get("key_by") or param in self.module.params.get("key_by") ) ) ) def list_resources(self): required_kwargs = self.get_required_kwargs_for_list() optional_kwargs = self.get_optional_kwargs_for_list() kwargs = oci_common_utils.merge_dicts(required_kwargs, optional_kwargs) return oci_common_utils.list_all_resources(self.client.list_templates, **kwargs) def get_create_model_class(self): return CreateTemplateDetails def get_exclude_attributes(self): return ["logo_file_base64_encoded"] def create_resource(self): create_details = self.get_create_model() return oci_wait_utils.call_and_wait( call_fn=self.client.create_template, call_fn_args=(), call_fn_kwargs=dict(create_template_details=create_details,), waiter_type=oci_wait_utils.LIFECYCLE_STATE_WAITER_KEY, operation=oci_common_utils.CREATE_OPERATION_KEY, waiter_client=self.get_waiter_client(), resource_helper=self, wait_for_states=self.get_wait_for_states_for_operation( oci_common_utils.CREATE_OPERATION_KEY, ), ) def get_update_model_class(self): return UpdateTemplateDetails def update_resource(self): update_details = self.get_update_model() return oci_wait_utils.call_and_wait( call_fn=self.client.update_template, call_fn_args=(), call_fn_kwargs=dict( template_id=self.module.params.get("template_id"), update_template_details=update_details, ), waiter_type=oci_wait_utils.LIFECYCLE_STATE_WAITER_KEY, operation=oci_common_utils.UPDATE_OPERATION_KEY, waiter_client=self.get_waiter_client(), resource_helper=self, wait_for_states=self.get_wait_for_states_for_operation( oci_common_utils.UPDATE_OPERATION_KEY, ), ) def delete_resource(self): return oci_wait_utils.call_and_wait( call_fn=self.client.delete_template, call_fn_args=(), call_fn_kwargs=dict(template_id=self.module.params.get("template_id"),), waiter_type=oci_wait_utils.LIFECYCLE_STATE_WAITER_KEY, operation=oci_common_utils.DELETE_OPERATION_KEY, waiter_client=self.get_waiter_client(), resource_helper=self, wait_for_states=self.get_wait_for_states_for_operation( oci_common_utils.DELETE_OPERATION_KEY, ), ) TemplateHelperCustom = get_custom_class("TemplateHelperCustom") class ResourceHelper(TemplateHelperCustom, TemplateHelperGen): pass def main(): module_args = oci_common_utils.get_common_arg_spec( supports_create=True, supports_wait=True ) module_args.update( dict( compartment_id=dict(type="str"), display_name=dict(aliases=["name"], type="str"), description=dict(type="str"), long_description=dict(type="str"), logo_file_base64_encoded=dict(type="str"), template_config_source=dict( type="dict", options=dict( template_config_source_type=dict( type="str", required=True, choices=["ZIP_UPLOAD"] ), zip_file_base64_encoded=dict(type="str"), ), ), freeform_tags=dict(type="dict"), defined_tags=dict(type="dict"), template_id=dict(aliases=["id"], type="str"), state=dict(type="str", default="present", choices=["present", "absent"]), ) ) module = AnsibleModule(argument_spec=module_args, supports_check_mode=True) if not HAS_OCI_PY_SDK: module.fail_json(msg="oci python sdk required for this module.") resource_helper = ResourceHelper( module=module, resource_type="template", service_client_class=ResourceManagerClient, namespace="resource_manager", ) result = dict(changed=False) if resource_helper.is_delete_using_name(): result = resource_helper.delete_using_name() elif resource_helper.is_delete(): result = resource_helper.delete() elif resource_helper.is_update_using_name(): result = resource_helper.update_using_name() elif resource_helper.is_update(): result = resource_helper.update() elif resource_helper.is_create(): result = resource_helper.create() module.exit_json(**result) if __name__ == "__main__": main()

38.686975

160

0.645072

2,048

18,415

5.546387

0.15625

0.016639

0.025442

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0.597148

0.557972

0.467207

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0.011198

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1

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false

0.002392

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0.002392

0

null

0

1

0

null

0

1

2a419057ed32d0d72a2ab5830767804b84e6235c

2,259

py

Python

test.py

alexanderAustin/PythonGame

9a3da340ffa426d3c6d59b5c2eb3f2a68792164f

[ "Apache-2.0" ]

null

test.py

alexanderAustin/PythonGame

9a3da340ffa426d3c6d59b5c2eb3f2a68792164f

[ "Apache-2.0" ]

null

test.py

alexanderAustin/PythonGame

9a3da340ffa426d3c6d59b5c2eb3f2a68792164f

[ "Apache-2.0" ]

null

# This was built from the tutorial https://www.raywenderlich.com/24252/beginning-game-programming-for-teens-with-python import pygame, math, random from pygame.locals import * import pyganim # 2 - Initialize the game pygame.init() width, height = 640, 480 screen=pygame.display.set_mode((width, height)) pygame.display.set_caption('PyGame - Testing') rootImg = "resources/images/basic_game/" rootAud = "resources/audio/basic_game/" player = pygame.image.load(rootImg + "dude.png") grass = pygame.image.load(rootImg + "grass.png") castle = pygame.image.load(rootImg + "castle.png").convert_alpha() # cow = pygame.image.load("resources/images/animals/cow/cow_front.png") #subject to change # Used https://github.com/asweigart/pyganim/tree/master/examples # http://www.pygame.org/project-Pyganim+sprite+animation+module-2106-.html # for the sprite sheets cows = pyganim.getImagesFromSpriteSheet( filename="resources/images/animals/cow/cow_front.png", rows=4, cols=2, scale=2) cframes = list(zip(cows, [100] * len(cows))) cowObj = pyganim.PygAnimation(cframes) cowObj.play() cowsr = pyganim.getImagesFromSpriteSheet( filename="resources/images/animals/cow/cow_rear.png", rows=3, cols=3, scale=2) crframes = list(zip(cowsr, [100] * len(cowsr))) # crframes = crframes.pop()#remove blank frame print crframes cowrObj = pyganim.PygAnimation(crframes) cowrObj.play() # 4 - keep looping through running = 1 while running: # 5 - clear the screen before drawing it again screen.fill(0) # 6 - draw the screen elements for x in range(width/grass.get_width()+1): for y in range(height/grass.get_height()+1): screen.blit(grass,(x*100,y*100)) cowObj.blit(screen, (200, 20)) cowrObj.blit(screen, (50, 200)) # screen.blit(castle, (100,100)) # 7 - update the screen pygame.display.flip() # 8 - loop through the events for event in pygame.event.get(): # check if the event is the X button if event.type==pygame.QUIT: # if it is quit the game pygame.quit() exit(0) while 1: for event in pygame.event.get(): if event.type == pygame.QUIT: pygame.quit() exit(0) pygame.display.flip()

30.945205

119

0.683046

315

2,259

4.866667

0.438095

0.03392

0.039139

0.043053

0.174821

0.147423

0.116112

0.08741

0

0.033586

0.182824

2,259

73

120

30.945205

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0

null

0

0.065217

null

0.021739

0

null

0

null

0

1

0

1

2a4c8d2566e58f41d640706fecad5ae122f31804

2,061

py

Python

test/test_phones.py

tnurtdinov-st/python_traning

a5204b073101a9c7870b3219ba7ceff321cf6b41

[ "Apache-2.0" ]

null

test/test_phones.py

tnurtdinov-st/python_traning

a5204b073101a9c7870b3219ba7ceff321cf6b41

[ "Apache-2.0" ]

null

test/test_phones.py

tnurtdinov-st/python_traning

a5204b073101a9c7870b3219ba7ceff321cf6b41

[ "Apache-2.0" ]

null

import re from random import randrange def test_phones_on_homepage(app): contact_from_homepage = app.contact.get_contact_list()[0] contact_from_editpage = app.contact.get_contact_info_from_edit_page(0) assert contact_from_homepage.all_phones_from_homepage == merge_phones_like_on_homepage(contact_from_editpage) def test_phones_on_view_page(app): contact_from_viewpage = app.contact.get_contact_from_viewpage(0) contact_from_editpage = app.contact.get_contact_info_from_edit_page(0) assert contact_from_viewpage.homephone == contact_from_editpage.homephone assert contact_from_viewpage.mobilephone == contact_from_editpage.mobilephone assert contact_from_viewpage.workphone == contact_from_editpage.workphone assert contact_from_viewpage.phone2 == contact_from_editpage.phone2 def test_random_person_info(app): contact = app.contact.get_contact_list() index = randrange(len(contact)) contact_from_homepage = app.contact.get_contact_list()[index] contact_from_editpage = app.contact.get_contact_info_from_edit_page(index) assert contact_from_homepage.firstname == contact_from_editpage.firstname assert contact_from_homepage.lastname == contact_from_editpage.lastname assert contact_from_homepage.id == contact_from_editpage.id assert contact_from_homepage.address1 == contact_from_editpage.address1 assert contact_from_homepage.all_phones_from_homepage == merge_phones_like_on_homepage(contact_from_editpage) assert contact_from_homepage.all_emails == merge_emails_like_on_homepage(contact_from_editpage) def merge_phones_like_on_homepage(contact): return "\n".join(filter(lambda x: x !="", map(lambda x: clear(x), filter(lambda x: x is not None, [contact.homephone, contact.mobilephone, contact.workphone, contact.phone2])))) def merge_emails_like_on_homepage(contact): return "\n".join(filter(lambda x: x !="", map(lambda x: clear(x), filter(lambda x: x is not None, [contact.email1, contact.email2, contact.email3])))) def clear(s): return re.sub("[() -]", "", s)

55.702703

181

0.802523

290

2,061

5.3

0.182759

0.207547

0.173064

0.091087

0.500976

0.482759

0.439167

0.413793

0.35784

0

0.006518

0.106744

2,061

37

182

55.702703

0.828354

0

0.133333

0

0.00485

0

0.366667

1

0.2

false

0

0.066667

0.1

0.366667

0

null

1

0

null

0

1

2a5062017f7cc51174da9372c129642a7f1b6002

992

py

Python

iotkit/led.py

dhrg/iot-edison

d1a4eed659891ecbebe45e4e2fcf55c7828d01e7

[ "CC-BY-4.0" ]

null

iotkit/led.py

dhrg/iot-edison

d1a4eed659891ecbebe45e4e2fcf55c7828d01e7

[ "CC-BY-4.0" ]

null

iotkit/led.py

dhrg/iot-edison

d1a4eed659891ecbebe45e4e2fcf55c7828d01e7

[ "CC-BY-4.0" ]

null

import mraa # For accessing the GPIO import time # For sleeping between blinks global led def init_led(pin): global led led = mraa.Gpio(pin) # Get the LED pin object led.dir(mraa.DIR_OUT) # Set the direction as output led.write(0) def write_led(signal): global led led.write(signal) def main(): pin = 5 # we are using D5 pin led = mraa.Gpio(pin) # Get the LED pin object led.dir(mraa.DIR_OUT) # Set the direction as output ledState = False # LED is off to begin with led.write(ledState) # One infinite loop coming up while True: if ledState == False: # LED is off, turn it on led.write(1) ledState = True # LED is on else: led.write(0) ledState = False print "LED is: %s" %(ledState) # Wait for some time time.sleep(1) if __name__ == '__main__': main() del led

24.8

61

0.556452

138

992

3.913043

0.427536

0.074074

0.044444

0.051852

0.340741

0.262963

0

0.009509

0.363911

992

40

62

24.8

0.846276

0.279234

0

0.37931

0

0.025605

0

null

0

0.068966

null

0.034483

0

null

0

null

0

1

0

1

2a52a6d200cba48f11a709eb7672ab1b68768cc1

218

py

Python

cogs/anime.py

TheLastNever/discord_bot

b4bb5513a70ebd0f6f794b035f498de3ae6f9a8f

[ "MIT" ]

null

cogs/anime.py

TheLastNever/discord_bot

b4bb5513a70ebd0f6f794b035f498de3ae6f9a8f

[ "MIT" ]

null

cogs/anime.py

TheLastNever/discord_bot

b4bb5513a70ebd0f6f794b035f498de3ae6f9a8f

[ "MIT" ]

null

import discord from discord.ext import commands class anime(commands.Cog): def __init__(self, bot): self.bot = bot self._last_member = None def setup(bot): bot.add_cog(anime(bot))

14.533333

32

0.637615

30

218

4.4

0.566667

0.106061

0

0.266055

218

15

33

14.533333

0.825

0

1

0.25

false

0

0.25

0

0.625

0

null

0

null

0

1

0

1

2a6147abbf7955e413192c373cc1c16dc8668901

5,315

py

Python

amalia/simulation/PoissonSimulation.py

Aganonce/AMALIA-lite

a9c854b45cc6486763349c262e44ee4d27d6bfac

[ "MIT" ]

null

amalia/simulation/PoissonSimulation.py

Aganonce/AMALIA-lite

a9c854b45cc6486763349c262e44ee4d27d6bfac

[ "MIT" ]

null

amalia/simulation/PoissonSimulation.py

Aganonce/AMALIA-lite

a9c854b45cc6486763349c262e44ee4d27d6bfac

[ "MIT" ]

2

2021-05-21T07:55:54.000Z

2021-09-23T12:58:50.000Z

import logging from tools.EventGeneration import convert_date, generate_random_time, generate_random_node_id logger = logging.getLogger(__name__.split('.')[-1]) from features.ResponseTypeFeature import ResponseTypeFeature from features.ReplayTimeSeriesFeature import ReplayTimeSeriesFeature import tools.Cache as Cache import random import pandas as pd import warnings from scipy.sparse import SparseEfficiencyWarning warnings.simplefilter('ignore', SparseEfficiencyWarning) random.seed(1234) class PoissonSimulation: ''' Simple event simulation. Given a replay of base events and probabilities of responses, generate arbitrary single-layer event cascades. Parameters ---------- Parameters here ''' def __init__(self, cfg, generate_replies=None, **kwargs): self.start_date = cfg.get("limits.start_date", type=convert_date) self.end_date = cfg.get("limits.end_date", type=convert_date) self.time_delta = cfg.get("limits.time_delta", type=pd.Timedelta).total_seconds() if generate_replies is None: self.generate_replies = cfg.get("poisson_simulation.generate_replies", True) else: self.generate_replies = generate_replies self.cfg = cfg @Cache.amalia_cache def compute(self, dfs, train_dfs=None): # Retrieve replay time-series feature and response type feature ts = ReplayTimeSeriesFeature(self.cfg).compute(dfs) responses = ResponseTypeFeature(self.cfg).compute(dfs) res = [] platforms = dfs.get_platforms() logger.warning('Very slow for dense data generation. Use ParallelPoissonSimulation to reduce runtime.') for platform in platforms: ts = ts[platform] responses = responses[platform] node_map = dfs.get_node_map(platform) # For all users that have a nonzero row in their ts, generate events logger.info('Generating new events.') nonzero_rows, __ = ts.nonzero() res = res + _generate_base_event(ts, node_map, nonzero_rows, self.start_date, responses, self.generate_replies, platform) # Return a pandas DataFrame sorted by time # Feed into the output module for actual result generation res = pd.DataFrame(res) if len(res) == 0: logger.error('PoissonSimulation produced no events. Terminating.') raise ValueError('PoissonSimulation produced no events.') return res.sort_values(by=['nodeTime']).reset_index(drop=True) def _generate_base_event(ts, node_map, nonzero_rows, start_date, responses, generate_replies, platform): res = [] for root_user_id in nonzero_rows: ts_row = ts.getrow(root_user_id) __, events = ts_row.nonzero() # For each user, get event counts and the time index in which those events occurred event_counts = [ts_row.getcol(event).toarray()[0][0] for event in events] for i in range(len(event_counts)): for j in range(event_counts[i]): # Generate the base event current_day_time = int(start_date + events[i] * 86400) root_event_id = generate_random_node_id() res.append({'nodeID': root_event_id, 'nodeUserID': node_map[root_user_id], 'parentID': root_event_id, 'rootID': root_event_id, 'actionType': 'tweet', 'nodeTime': current_day_time, 'platform': platform}) # Generate responses to the base event if generate_replies: generated_responses = _generate_responses(root_event_id, root_user_id, current_day_time, responses, node_map, platform) # if len(generated_responses) == 0: # msg = 'Root user ID ' + str(root_user_id) + ' generated no responses.' # logger.warning(msg) res = res + generated_responses return res def _generate_responses(root_event_id, root_user_id, current_day_time, responses, node_map, platform): res = [] # For each event type generate responses using associated probabilities for response_type in responses: # Get the user response probabilities for the given event type and root user id response_row = responses[response_type].getrow(root_user_id) # If the probability is below some threshold, zero it out # Have the users associated with the nonzero indices generate an event response_row[response_row < random.random()] = 0 __, acting_indices = response_row.nonzero() # Generate random timestamps and find the associated user id for each new event time_stamps = [generate_random_time(current_day_time) for x in acting_indices] node_user_ids = [node_map[x] for x in acting_indices] res = res + [{'nodeID': generate_random_node_id(), 'nodeUserID': node_user_id, 'parentID': root_event_id, 'rootID': root_event_id, 'actionType': response_type, 'nodeTime': node_time, 'platform': platform} for node_user_id, node_time in zip(node_user_ids, time_stamps)] return res

40.572519

133

0.660207

641

5,315

5.24181

0.282371

0.021429

0.026786

0.017857

0.123214

0.098214

0.07619

0

0.003809

0.259078

5,315

130

134

40.884615

0.849416

0.194544

0

0.069444

1

0

0.096973

0.014191

0

1

0.055556

false

0

0.125

0

0.236111

0

null

0

1

0

null

0

1

2a67605a117277819275759c2973c2e8735861bc

2,497

py

Python

ui/_alert.py

isbm/pybug

406e47d0b75961d8b8a984b02053a9182f96c56d

[ "MIT" ]

null

ui/_alert.py

isbm/pybug

406e47d0b75961d8b8a984b02053a9182f96c56d

[ "MIT" ]

null

ui/_alert.py

isbm/pybug

406e47d0b75961d8b8a984b02053a9182f96c56d

[ "MIT" ]

1

2020-03-04T10:11:41.000Z

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'xml/alert.ui' # # Created by: PyQt4 UI code generator 4.11.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_Dialog(object): def setupUi(self, Dialog): Dialog.setObjectName(_fromUtf8("Dialog")) Dialog.resize(287, 171) Dialog.setWindowOpacity(0.8) Dialog.setAutoFillBackground(False) Dialog.setSizeGripEnabled(False) Dialog.setModal(True) self.verticalLayout_2 = QtGui.QVBoxLayout(Dialog) self.verticalLayout_2.setObjectName(_fromUtf8("verticalLayout_2")) self.verticalLayout = QtGui.QVBoxLayout() self.verticalLayout.setObjectName(_fromUtf8("verticalLayout")) self.label = QtGui.QLabel(Dialog) self.label.setObjectName(_fromUtf8("label")) self.verticalLayout.addWidget(self.label) spacerItem = QtGui.QSpacerItem(20, 40, QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Expanding) self.verticalLayout.addItem(spacerItem) self.verticalLayout_2.addLayout(self.verticalLayout) self.horizontalLayout = QtGui.QHBoxLayout() self.horizontalLayout.setObjectName(_fromUtf8("horizontalLayout")) spacerItem1 = QtGui.QSpacerItem(40, 20, QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Minimum) self.horizontalLayout.addItem(spacerItem1) self.okButton = QtGui.QPushButton(Dialog) self.okButton.setObjectName(_fromUtf8("okButton")) self.horizontalLayout.addWidget(self.okButton) self.verticalLayout_2.addLayout(self.horizontalLayout) self.retranslateUi(Dialog) QtCore.QObject.connect(self.okButton, QtCore.SIGNAL(_fromUtf8("clicked()")), Dialog.on_alert) QtCore.QMetaObject.connectSlotsByName(Dialog) def retranslateUi(self, Dialog): Dialog.setWindowTitle(_translate("Dialog", "Alert", None)) self.label.setText(_translate("Dialog", "TextLabel", None)) self.okButton.setText(_translate("Dialog", "Close", None))

40.934426

103

0.716059

256

2,497

6.894531

0.371094

0.091785

0.045326

0.063456

0.129178

0.092918

0

0.019932

0.176211

2,497

60

104

41.616667

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0

null

0

1

0

null

0

1

2a68fb1e3fb5aa04aab2b0e5a4bef92bf6a0aa37

689

py

Python

scripts/client_lidar.py

Paulllit/projet_proto_lidar

a84c80261c81ab08e365c575c416863c06355b71

[ "BSD-2-Clause" ]

null

scripts/client_lidar.py

Paulllit/projet_proto_lidar

a84c80261c81ab08e365c575c416863c06355b71

[ "BSD-2-Clause" ]

null

scripts/client_lidar.py

Paulllit/projet_proto_lidar

a84c80261c81ab08e365c575c416863c06355b71

[ "BSD-2-Clause" ]

null

#!/usr/bin/env python import rospy import math from sensor_msgs.msg import LaserScan #import des donnes laser du lidar import time from rplidar_ros.srv import * class Client(): vel=None angle_est=None #Init def __init__(self): rospy.init_node('client_lidar') def listen_angle(self): r = rospy.Rate(10) while not rospy.is_shutdown(): self.angle_est=rospy.ServiceProxy('angle',angle) self.angle_est() print(self.angle_est().angle_mes) ########################################################## Main ###################################################### if __name__ == "__main__": l=Client() l.listen_angle() rospy.spin()

23.758621

118

0.56894

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689

4.433735

0.566265

0.086957

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0.174165

689

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119

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null

0

null

0

1

0

1

2a6d411eb9f892a9e63182fd8d2cb98e424999b0

3,021

py

Python

main.py

maxc0d3r/google-workspace-manager

d2a4e561ae8278455cd5b0c03283a413ebeaff54

[ "MIT" ]

null

main.py

maxc0d3r/google-workspace-manager

d2a4e561ae8278455cd5b0c03283a413ebeaff54

[ "MIT" ]

null

main.py

maxc0d3r/google-workspace-manager

d2a4e561ae8278455cd5b0c03283a413ebeaff54

[ "MIT" ]

null

""" Usage: main.py domains list main.py domains add [--body=<request_body>] [--file=<input_file>] main.py users list [--domain=<domain_name>] main.py users get [--email=<email>] main.py users add [--body=<request_body>] [--file=<input_file>] main.py users update [--email=<email>] [--body=<request_body>] [--file=<input_file>] main.py (-h | --help) main.py (-V | --version) Options: -h --help Show this screen -v --version Show version --body=<request_body> Request body in JSON format --domain=<domain_name> Domain name --file=<input_file> JSON file """ from docopt import docopt import csv import os import json import random import string import gwm.directory.domains import gwm.directory.users import gwm.directory.groups from gwm.directory.domains import list_domains, add_domain, delete_domain from gwm.directory.users import list_users, add_user, delete_user, get_user, update_user APP_VERSION='0.0.0' def generate_password(): source = string.ascii_letters + string.digits password = ''.join((random.choice(source) for i in range(10))) return password def main(args): customer_id = os.getenv('CUSTOMER_ID') if args['domains']: if args['list']: domains = list_domains(customer_id) print(json.dumps(domains,indent=1)) elif args['add']: if args['--file']: with open(args['--file'],'r') as f: body = json.load(f) response = add_domain(customer_id, body) else: response = add_domain(customer_id, json.loads(args['--body'])) print(json.dumps(response,indent=1)) elif args['get']: pass elif args['delete']: pass elif args['users']: if args['list']: users = list_users(args['--domain']) print(json.dumps(users,indent=1)) elif args['add']: if args['--file']: with open(args['--file'],'r') as f: body = json.load(f) response = add_user(body) else: request_body = json.loads(args['--body']) response = add_user(request_body) print(json.dumps(response,indent=1)) elif args['get']: response = get_user(args['--email']) print(json.dumps(response,indent=1)) elif args['update']: if args['--file']: with open(args['--file'],'r') as f: body = json.load(f) response = update_user(args['--email'],body) else: request_body = json.loads(args['--body']) response = update_user(args['--email'],request_body) print(json.dumps(response,indent=1)) else: pass if __name__ == "__main__": arguments = docopt(__doc__, version='Google Workspace Manager {}'.format(APP_VERSION)) main(arguments)

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0.568355

367

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0.217984

0.059459

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null

0

1

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1

2a6f14b3af74899266a2956f8a6a90c52813e8dd

6,105

py

Python

BMES_exps/BMES.py

volgachen/Chinese-Tokenization

467e08da6fe271b6e33258d5aa6682c0405a3f32

[ "Apache-2.0" ]

null

BMES_exps/BMES.py

volgachen/Chinese-Tokenization

467e08da6fe271b6e33258d5aa6682c0405a3f32

[ "Apache-2.0" ]

null

BMES_exps/BMES.py

volgachen/Chinese-Tokenization

467e08da6fe271b6e33258d5aa6682c0405a3f32

[ "Apache-2.0" ]

1

2020-07-12T10:38:34.000Z

from collections import Counter from math import log from tqdm import tqdm import re from evaluation import evaluateSet def build_model(train_set): hmm_model = {i:Counter() for i in 'SBME'} trans = {'SS':0, 'SB':0, 'BM':0, 'BE':0, 'MM':0, 'ME':0, 'ES':0, 'EB':0 } with open(train_set,'r',encoding='utf-8') as f: cha = [] tag = [] for l in f: l = l.split() if (len(l) == 0) : cha += " " tag += " " else: cha += l[0] tag += l[1] for i in range(len(tag)): if tag[i] != ' ': hmm_model[tag[i]][cha[i]] += int(1) if i+1<len(tag) and tag[i+1] != ' ': trans[tag[i]+tag[i+1]] +=1 s_ = trans['SS'] + trans['SB'] trans['SS'] /= s_ trans['SB'] /= s_ b_ = trans['BM'] + trans['BE'] trans['BM'] /= b_ trans['BE'] /= b_ m_ = trans['MM'] + trans['ME'] trans['MM'] /= m_ trans['ME'] /= m_ e_ = trans['ES'] + trans['EB'] trans['ES'] /= e_ trans['EB'] /= e_ log_total = {i:log(sum(hmm_model[i].values())) for i in 'SBME'} trans = {i:log(j) for i,j in trans.items()} return hmm_model, trans, log_total def viterbi(nodes): paths = nodes[0] for l in range(1, len(nodes)): paths_ = paths paths = {} for i in nodes[l]: nows = {} for j in paths_: if j[-1]+i in trans: nows[j+i]=paths_[j]+nodes[l][i]+trans[j[-1]+i] k = list(nows.values()).index(max(nows.values())) paths[list(nows.keys())[k]] = list(nows.values())[k] return list(paths.keys())[list(paths.values()).index(max(list(paths.values())))] def hmm_cut(s): nodes = [{i:log(j[t]+1)-log_total[i] for i,j in hmm_model.items()} for t in s] tags = viterbi(nodes) words = [s[0]] for i in range(1, len(s)): if tags[i] in ['B', 'S']: words.append(s[i]) else: words[-1] += s[i] return words def changenum(ustring): rstr = "" for uchar in ustring: unic=ord(uchar) if unic == 12288: unic = 32 elif (65296 <= unic <= 65305) or (65345 <= unic <= 65370) or (65313 <= unic <= 65338): unic -= 65248 rstr += chr(unic) # 所有数字改为 0 rstr = re.sub(r"\d+\.?\d*", "0", rstr) # 所有英文单词改为 1 rstr = re.sub(r"[a-zA-Z]+\/", "1/", rstr) return rstr if __name__ == '__main__': print("Train Set: PKU; Test Set: Weibo, w/o re-replacement") hmm_model, trans, log_total = build_model("BMES_corpus/rmrb_BMES.txt") # load test set without number and english replace nlpcc_f = open('data/nlpcc2016-wordseg-dev.dat', 'r', encoding='utf-8') lines = nlpcc_f.readlines() lines = [line.strip().split() for line in lines] nlpcc_f.close() # Test with Simple 2-gram model results = [] for line in tqdm(lines): ori_line = ''.join(line) res = hmm_cut(ori_line) results.append(res) evaluateSet(results, lines) print("Train Set: PKU; Test Set: Weibo, w/ re-replacement") hmm_model, trans, log_total = build_model("BMES_corpus/rmrb_BMES_nonum.txt") # load test set without number and english replace nlpcc_f = open('data/nlpcc2016-wordseg-dev.dat', 'r', encoding='utf-8') lines = nlpcc_f.readlines() lines = [changenum(line) for line in lines] lines = [line.strip().split() for line in lines] nlpcc_f.close() # Test with Simple 2-gram model results = [] for line in tqdm(lines): ori_line = ''.join(line) res = hmm_cut(ori_line) results.append(res) evaluateSet(results, lines) print("Train Set: MSR; Test Set: PKU, w/ re-replacement") hmm_model, trans, log_total = build_model("BMES_corpus/msr_BMES_nonum.txt") # load test set without number and english replace nlpcc_f = open('data/nlpcc2016-wordseg-dev.dat', 'r', encoding='utf-8') lines = nlpcc_f.readlines() lines = [changenum(line) for line in lines] lines = [line.strip().split() for line in lines] nlpcc_f.close() # Test with Simple 2-gram model results = [] for line in tqdm(lines): ori_line = ''.join(line) res = hmm_cut(ori_line) results.append(res) evaluateSet(results, lines) print("Train Set: PKU; Test Set: PKU, w/ re-replacement") hmm_model, trans, log_total = build_model("BMES_corpus/rmrb_BMES_nonum.txt") # load test set without number and english replace nlpcc_f = open('BMES_corpus/pku_training.utf8', 'r', encoding='utf-8') lines = nlpcc_f.readlines() lines = [changenum(line) for line in lines] lines = [line.strip().split() for line in lines] lines = [line for line in lines if len(line)] nlpcc_f.close() # Test with Simple 2-gram model results = [] for line in tqdm(lines): ori_line = ''.join(line) res = hmm_cut(ori_line) results.append(res) evaluateSet(results, lines) print("Train Set: MSR; Test Set: MSR, w/ re-replacement") hmm_model, trans, log_total = build_model("BMES_corpus/msr_BMES_nonum.txt") # load test set without number and english replace nlpcc_f = open('BMES_corpus/msr_training.utf8', 'r', encoding='utf-8') lines = nlpcc_f.readlines() lines = [changenum(line) for line in lines] lines = [line.strip().split() for line in lines] lines = [line for line in lines if len(line)] nlpcc_f.close() # Test with Simple 2-gram model results = [] for line in tqdm(lines): ori_line = ''.join(line) res = hmm_cut(ori_line) results.append(res) evaluateSet(results, lines)

30.989848

95

0.53923

843

6,105

3.788849

0.163701

0.035066

0.045085

0.048215

0.650908

0.634941

0.624296

0

0.022684

0.314005

6,105

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false

0

0.033557

0

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0.033557

0

null

0

1

0

null

0

1

2a6f89f48cd8c7b16e844264141418335e7aca6a

199

py

Python

code/bqutils/auth.py

victoria-cds-sig/explore_mimiciv

856705ab1af7ecbfe30d5e8054747b61de8af031

[ "MIT" ]

3

2020-11-23T04:29:16.000Z

2021-05-29T06:22:00.000Z

code/bqutils/auth.py

victoria-cds-sig/explore_mimiciv

856705ab1af7ecbfe30d5e8054747b61de8af031

[ "MIT" ]

null

code/bqutils/auth.py

victoria-cds-sig/explore_mimiciv

856705ab1af7ecbfe30d5e8054747b61de8af031

[ "MIT" ]

4

2020-11-23T05:18:54.000Z

2021-05-29T06:23:12.000Z

import google.auth def get_gcreds(scopes = None): if scopes == None: scopes = ["https://www.googleapis.com/auth/bigquery"] return google.auth.default( scopes = scopes )

18.090909

61

0.628141

24

199

5.166667

0.666667

0.16129

0

0.246231

199

10

62

19.9

0.826667

0

0.203046

0

1

0.166667

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0

0.166667

0

0.5

0

1

0

null

0

null

0

1

2a74193bd4405cdd9a1190cbabe2ed90d97be2b2

5,678

py

Python

views.py

margish100/Api-json

82b0561f6335708702b997dc8dd1e62c7df5d03d

[ "MIT" ]

null

views.py

margish100/Api-json

82b0561f6335708702b997dc8dd1e62c7df5d03d

[ "MIT" ]

null

views.py

margish100/Api-json

82b0561f6335708702b997dc8dd1e62c7df5d03d

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse, JsonResponse from rest_framework.parsers import JSONParser from .models import Article from .serializers import ArticleSerializer from django.views.decorators.csrf import csrf_exempt from rest_framework.decorators import api_view from rest_framework.response import Response from rest_framework import status from rest_framework.views import APIView from rest_framework import generics from rest_framework import mixins from rest_framework.authentication import SessionAuthentication,TokenAuthentication, BasicAuthentication from rest_framework.permissions import IsAuthenticated from rest_framework import viewsets from django.shortcuts import get_list_or_404 class ArticleAPIViewSet (viewsets.ViewSet): def list(self, request): articles = Article.objects.all() serializer = ArticleSerializer(articles, many=True) return Response(serializer.data) def create(self, request): serializer = ArticleSerializer(data = request.data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status= status.HTTP_201_CREATED) return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def retrieve(self, request, pk=None): queryset = Article.objects.all() article = get_list_or_404(queryset, pk=pk) serializer = ArticleSerializer(article) return Response(serializer.data) def update(self, request, pk=None): article = Article.objects.get(pk=pk) serializer = ArticleSerializer(article, data=request.data) if serializer.is_valid(): serializer.save() return Response(serializer.data) return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) class GenericAPIView(generics.GenericAPIView, mixins.ListModelMixin, mixins.CreateModelMixin, mixins.UpdateModelMixin, mixins.RetrieveModelMixin, mixins.DestroyModelMixin): serializer_class = ArticleSerializer queryset = Article.objects.all() lookup_field = 'id' #authentication_classes =[SessionAuthentication, BasicAuthentication] authentication_classes = [ TokenAuthentication] permission_classes= [IsAuthenticated] def get(self, request, id = None): if id: return self.retrieve(request) else: return self.list(request) def post (self, request): return self.create(request) def put(self, request, id=None): return self.update(request, id) def delete(self, request, id): return self.destroy(request, id) class ArticleAPIView(APIView): def get(self, request): articles = Article.objects.all() serializer = ArticleSerializer(articles, many=True) return Response(serializer.data) def post(self, request): serializer = ArticleSerializer(data = request.data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status= status.HTTP_201_CREATED) return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) class ArticleDetails(APIView): def get_object(self, id): try: return Article.objects.get(id = id) except Article.DoesNotExit: return HttpResponse(status=status.HTTP_404_NOT_FOUND) def get(self, request, id): article = self.get_object(id) serializer = ArticleSerializer(article) return Response(serializer.data) def put(self, request, id): article = self.get_object(id) serializer = ArticleSerializer(article, data=request.data) if serializer.is_valid(): serializer.save() return Response(serializer.data) return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def delete(self, request, id): article = self.get_object(id) article.delete() return Response(status=status.HTTP_204_NO_CONTENT) @api_view(['GET', 'POST']) def article_list(request): if request.method =='GET': articles = Article.objects.all() serializer = ArticleSerializer(articles, many=True) return Response(serializer.data) elif request.method == 'POST': serializer = ArticleSerializer(data = request.data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status= status.HTTP_201_CREATED) return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) @api_view(['GET' , 'PUT', 'DELETE']) def article_detail(request, pk): try: article = Article.objects.get(pk=pk) except Article.DoesNotExit: return HttpResponse(status=status.HTTP_404_NOT_FOUND) if request.method == 'GET': serializer = ArticleSerializer(article) return Response(serializer.data) elif request.method == 'PUT': #data = JSONParser().parse(request) serializer = ArticleSerializer(article, data=request.data) if serializer.is_valid(): serializer.save() return Response(serializer.data) return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) elif request.method == 'DELETE': article.delete() return Response(status=status.HTTP_204_NO_CONTENT)

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0.66608

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5,678

6.275804

0.165821

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0.09059

0.576705

0.555406

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0

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0.249912

5,678

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30.363636

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false

0

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0.025

0.575

0

null

0

null

0

1

0

1

2a7ffe46901a396481978f7847250513748371b6

611

py

Python

knightmovs_test.py

rcolomina/pythonchess

1b12ea4a1668da6c47dd39ff16d1e48af33ea2f5

[ "MIT" ]

null

knightmovs_test.py

rcolomina/pythonchess

1b12ea4a1668da6c47dd39ff16d1e48af33ea2f5

[ "MIT" ]

2

2016-11-01T09:57:36.000Z

2016-11-01T10:05:50.000Z

knightmovs_test.py

rcolomina/pythonchess

1b12ea4a1668da6c47dd39ff16d1e48af33ea2f5

[ "MIT" ]

null

#!/usr/bin/python from piece import Piece from gameNode import GameNode from knightmovs import * from functions import * listPiecesWhite=[] listPiecesBlack=[] w1=Piece('Q',[3,1]) w2=Piece('N',[3,2]) w3=Piece('N',[4,2]) w4=Piece('B',[2,3]) listPiecesWhite.append(w1) listPiecesWhite.append(w2) listPiecesWhite.append(w3) listPiecesWhite.append(w4) b1=Piece('q',[3,4]) listPiecesBlack.append(b1) gameNode=GameNode(listPiecesWhite,listPiecesBlack,"white") assert(listTargetsKnight(gameNode,w3)==[[3,4]]) print "Checked knight movements on ",w2.coordenates," which should be ",listTargetsKnight(gameNode,w3)

21.821429

102

0.752864

83

611

5.542169

0.433735

0.182609

0.030435

0

0.044405

0.07856

611

27

103

22.62963

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null

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null

0.052632

0

null

0

null

0

1

0

1

2a863733ace28ef6349e137d5a4a527f5a173db6

423

py

Python

bootstrapvz/providers/virtualbox/tasks/boot.py

qqshfox/bootstrap-vz

38fc7c52407d015d3c75867bfea266d0aec6d7e2

[ "Apache-2.0" ]

1

2016-07-21T15:10:26.000Z

bootstrapvz/providers/virtualbox/tasks/boot.py

qqshfox/bootstrap-vz

38fc7c52407d015d3c75867bfea266d0aec6d7e2

[ "Apache-2.0" ]

3

2017-05-10T15:04:10.000Z

2017-06-02T18:14:50.000Z

bootstrapvz/providers/virtualbox/tasks/boot.py

qqshfox/bootstrap-vz

38fc7c52407d015d3c75867bfea266d0aec6d7e2

[ "Apache-2.0" ]

14

2016-12-15T09:29:10.000Z

2021-01-28T13:06:14.000Z

from bootstrapvz.base import Task from bootstrapvz.common import phases from bootstrapvz.common.tasks import grub class AddVirtualConsoleGrubOutputDevice(Task): description = 'Adding `tty0\' as output device for grub' phase = phases.system_modification successors = [grub.WriteGrubConfig] @classmethod def run(cls, info): info.grub_config['GRUB_CMDLINE_LINUX_DEFAULT'].append('console=tty0')

30.214286

77

0.763593

49

423

6.489796

0.693878

0.141509

0.132075

0

0.005587

0.153664

423

13

78

32.538462

0.882682

0

0.120567

0.061466

0

1

0.1

false

0

0.3

0

0.8

0

null

0

null

0

1

0

1

2a8a638716da9a921d2678fd212392c39c24f195

547

py

Python

satang_pro_signer/signer.py

thebevrishot/satang-pro-signer

e0d6affdaf3b3bf5a670bda160f8a7d341b41707

[ "MIT" ]

null

satang_pro_signer/signer.py

thebevrishot/satang-pro-signer

e0d6affdaf3b3bf5a670bda160f8a7d341b41707

[ "MIT" ]

null

satang_pro_signer/signer.py

thebevrishot/satang-pro-signer

e0d6affdaf3b3bf5a670bda160f8a7d341b41707

[ "MIT" ]

null

import hashlib import hmac from satang_pro_signer import preparer class Signer: def __init__(self, secret: bytes): self.secret = secret def sign(self, obj) -> bytes: parsed = preparer.Preparer(obj).encode() msg = bytes(parsed, encoding='utf-8') try: # better performance return hmac.digest(self.secret, msg, 'sha512') except AttributeError: # compatible with Python 3.6 m = hmac.new(self.secret, msg, hashlib.sha512) return m.digest()

26.047619

58

0.605119

64

547

5.078125

0.578125

0.123077

0.08

0

0.023438

0.297989

547

21

59

26.047619

0.822917

0.082267

0

0.022

0

1

0.142857

false

0

0.214286

0

0.571429

0

null

0

null

0

1

0

1

2a8e83999cf4e97fafb8dbeb31077fa54eca387c

7,826

py

Python

visualization/POF/utils/keypoint_conversion.py

alvaro-budria/body2hands

0eba438b4343604548120bdb03c7e1cb2b08bcd6

[ "BSD-3-Clause" ]

63

2021-05-14T02:55:16.000Z

2022-03-13T01:51:12.000Z

visualization/POF/utils/keypoint_conversion.py

human2b/body2hands

8ab4b206dc397c3b326f2b4ec9448c84ee8801fe

[ "BSD-3-Clause" ]

9

2021-06-24T09:59:41.000Z

2021-12-31T08:15:20.000Z

visualization/POF/utils/keypoint_conversion.py

human2b/body2hands

8ab4b206dc397c3b326f2b4ec9448c84ee8801fe

[ "BSD-3-Clause" ]

9

2021-05-17T03:33:28.000Z

2022-02-17T02:30:44.000Z

import numpy as np import numpy.linalg as nl from utils.general import connMat a4_to_main = { 'body': np.array([1, 0, 9, 10, 11, 3, 4, 5, 12, 13, 14, 6, 7, 8, 17, 15, 18, 16, 19, 20], dtype=np.int64), # convert to order of openpose '1_body': np.array([1, 0, 9, 10, 11, 3, 4, 5, 12, 13, 14, 6, 7, 8, 17, 15, 18, 16, 19, 20], dtype=np.int64), # convert to order of openpose '2_body': np.array([1, 0, 9, 10, 11, 3, 4, 5, 12, 13, 14, 6, 7, 8, 17, 15, 18, 16, 19, 20], dtype=np.int64), # convert to order of openpose 'left_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), # convert to order of freiburg '1_left_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), # convert to order of freiburg '2_left_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), # convert to order of freiburg 'right_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), # convert to order of freiburg '1_right_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), # convert to order of freiburg '2_right_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), # convert to order of freiburg 'openpose_lhand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'openpose_rhand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'openpose_lhand_score': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'openpose_rhand_score': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), } human36m_to_main = { 'body': np.array([9, 8, 14, 15, 16, 11, 12, 13, 4, 5, 6, 1, 2, 3, 17, 17, 17, 17, 10, 17], dtype=np.int64) } mpi3d_to_main = { 'body': np.array([6, 5, 14, 15, 16, 9, 10, 11, 23, 24, 25, 18, 19, 20, 28, 28, 28, 28, 7], dtype=np.int64) } adam_to_main = { 'body': np.array([12, 17, 19, 21, 16, 18, 20, 2, 5, 8, 1, 4, 7], dtype=np.int64), 'select_body_main': np.arange(1, 14, dtype=np.int64) } COCO_to_main = { 'body': np.array([0, 17, 6, 8, 10, 5, 7, 9, 12, 14, 16, 11, 13, 15, 2, 1, 4, 3, 18, 19], dtype=np.int64), 'body_valid': np.array([0, 17, 6, 8, 10, 5, 7, 9, 12, 14, 16, 11, 13, 15, 2, 1, 4, 3, 18, 19], dtype=np.int64), 'all_body': np.array([0, 17, 6, 8, 10, 5, 7, 9, 12, 14, 16, 11, 13, 15, 2, 1, 4, 3, 18, 19], dtype=np.int64), 'all_body_valid': np.array([0, 17, 6, 8, 10, 5, 7, 9, 12, 14, 16, 11, 13, 15, 2, 1, 4, 3, 18, 19], dtype=np.int64) } SMPL_to_main = { # actually COCOPLUS regressor to main 'body': np.array([14, 12, 8, 7, 6, 9, 10, 11, 2, 1, 0, 3, 4, 5, 16, 15, 18, 17, 13], dtype=np.int64) } STB_to_main = { 'left_hand': np.array([0, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1], dtype=np.int64) } MPII_to_main = { 'body': np.array([16, 8, 12, 11, 10, 13, 14, 15, 2, 1, 0, 3, 4, 5, 16, 16, 16, 16, 9], dtype=np.int64), 'body_valid': np.array([16, 8, 12, 11, 10, 13, 14, 15, 2, 1, 0, 3, 4, 5, 16, 16, 16, 16, 9], dtype=np.int64) } tsimon_to_main = { 'left_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'right_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'left_hand_valid': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'right_hand_valid': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), } GAnerated_to_main = { 'left_hand': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'left_hand_valid': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'left_hand_3d': np.array([0, 4, 3, 2, 1, 8, 7, 6, 5, 12, 11, 10, 9, 16, 15, 14, 13, 20, 19, 18, 17], dtype=np.int64), 'right_hand': np.arange(21, dtype=np.int64), 'right_hand_valid': np.arange(21, dtype=np.int64), 'right_hand_3d': np.arange(21, dtype=np.int64) } std_body_size = 267.807 std_hand_size = (82.2705 + 79.8843) / 2 def compute_size(joint3d, type_str): """ use this to compute size for scaling: joints are in main order. """ length = 0.0 for ic, conn in enumerate(connMat[type_str]): if type_str == 'body': if ic in (2, 3, 5, 6, 8, 9, 11, 12): length += nl.norm(joint3d[conn[0]] - joint3d[conn[1]]) else: assert type_str == 'hand' length += nl.norm(joint3d[conn[0]] - joint3d[conn[1]]) return length def main_to_a4(joint): assert joint.shape[0] == 20 output = np.zeros((21, joint.shape[1]), dtype=joint.dtype) for io, ic in enumerate(a4_to_main['body']): output[ic, :] = joint[io, :] output[2, :] = (output[6, :] + output[12, :]) / 2 return output def main_to_a4_hand(joint): assert joint.shape[0] == 21 output = np.zeros(joint.shape, dtype=joint.dtype) output[0] = joint[0] for i in (1, 5, 9, 13, 17): output[i:i + 4] = joint[i + 3:i - 1:-1] return output def assemble_total_3d(body, lhand, rhand): len_b = compute_size(body, 'body') if len_b > 0: sbody = (std_body_size / len_b) * body else: sbody = body len_l = compute_size(lhand, 'hand') if len_l > 0: slhand = (std_hand_size / len_l) * lhand else: slhand = lhand len_r = compute_size(rhand, 'hand') if len_r > 0: srhand = (std_hand_size / len_r) * rhand else: srhand = rhand sbody = main_to_a4(sbody) slhand = main_to_a4_hand(slhand) srhand = main_to_a4_hand(srhand) slhand_invalid = (slhand[:, 0] == 0) * (slhand[:, 1] == 0) * (slhand[:, 2] == 0) srhand_invalid = (srhand[:, 0] == 0) * (srhand[:, 1] == 0) * (srhand[:, 2] == 0) if not slhand[0].any(): slhand_invalid[:] = True if not srhand[0].any(): srhand_invalid[:] = True lhand_idx_a4 = 5 rhand_idx_a4 = 11 shift_lhand = sbody[lhand_idx_a4] - slhand[0] shift_rhand = sbody[rhand_idx_a4] - srhand[0] slhand += shift_lhand srhand += shift_rhand slhand[slhand_invalid] = 0 srhand[srhand_invalid] = 0 return np.concatenate([sbody, slhand, srhand], axis=0), std_body_size / len_b def assemble_total_2d(body_2d, lhand_2d, rhand_2d): keypoint_list = [] for i, item in enumerate((body_2d, lhand_2d, rhand_2d)): keypoint = item['uv_local'] keypoint = (keypoint - 184) / item['scale2d'] + item['crop_center2d'] valid = item['valid'] keypoint = keypoint * np.stack([valid, valid], axis=1) # remove those invalid values if i == 0: keypoint = main_to_a4(keypoint) else: keypoint = main_to_a4_hand(keypoint) keypoint_list.append(keypoint) ret = np.concatenate(keypoint_list, axis=0) ret[np.isnan(ret)] = 0.0 # nan when the whole joint is zero return ret def main_to_human36m(joint): # except 9, 10 in human36m out = np.zeros((17, 3), dtype=joint.dtype) for im, ih in enumerate(human36m_to_main['body']): if ih == 17: # virtual zero joint continue out[ih] = np.copy(joint[im, :]) out[0] = (out[1] + out[4]) / 2 # middle hip out[7] = (out[1] + out[4] + out[11] + out[14]) / 4 # abdomen (average of l/r hip, l/r shoulder) return out

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py

Python

team/migrations/0014_auto_20200608_1855.py

Aleccc/gtcrew

7e6e7024afdbf48ee796cb1f9a86b913e6843dda

[ "MIT" ]

null

team/migrations/0014_auto_20200608_1855.py

Aleccc/gtcrew

7e6e7024afdbf48ee796cb1f9a86b913e6843dda

[ "MIT" ]

21

2019-02-14T02:47:34.000Z

2022-01-23T02:22:54.000Z

team/migrations/0014_auto_20200608_1855.py

Aleccc/gtcrew

7e6e7024afdbf48ee796cb1f9a86b913e6843dda

[ "MIT" ]

null

# Generated by Django 3.0.4 on 2020-06-08 22:55 from django.db import migrations import wagtail.core.fields class Migration(migrations.Migration): dependencies = [ ('team', '0013_auto_20200608_1824'), ] operations = [ migrations.AlterField( model_name='profile', name='bio', field=wagtail.core.fields.RichTextField(blank=True, max_length=1500), ), ]

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408

py

Python

discussions/migrations/0006_channel_is_deleted.py

Wassaf-Shahzad/micromasters

b1340a8c233499b1d8d22872a6bc1fe7f49fd323

[ "BSD-3-Clause" ]

32

2016-03-25T01:03:13.000Z

2022-01-15T19:35:42.000Z

discussions/migrations/0006_channel_is_deleted.py

Wassaf-Shahzad/micromasters

b1340a8c233499b1d8d22872a6bc1fe7f49fd323

[ "BSD-3-Clause" ]

4,858

2016-03-03T13:48:30.000Z

2022-03-29T22:09:51.000Z

discussions/migrations/0006_channel_is_deleted.py

umarmughal824/micromasters

ea92d3bcea9be4601150fc497302ddacc1161622

[ "BSD-3-Clause" ]

20

2016-08-18T22:07:44.000Z

2021-11-15T13:35:35.000Z

# Generated by Django 2.1.5 on 2019-03-22 07:29 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('discussions', '0005_timestamped_discussions_models'), ] operations = [ migrations.AddField( model_name='channel', name='is_deleted', field=models.BooleanField(default=False), ), ]

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2a97aa991dbbe490d3f89c2502461d05c3f3477d

3,808

py

Python

test/test_CustomLayers.py

tomasheiskanen/pro_gan_pytorch

af44df67a2e771207ed96af4c0948980edd9d3d7

[ "MIT" ]

2

2020-11-19T14:20:51.000Z

2020-12-10T10:54:39.000Z

test/test_CustomLayers.py

tomasheiskanen/pro_gan_pytorch

af44df67a2e771207ed96af4c0948980edd9d3d7

[ "MIT" ]

null

test/test_CustomLayers.py

tomasheiskanen/pro_gan_pytorch

af44df67a2e771207ed96af4c0948980edd9d3d7

[ "MIT" ]

2

2020-11-19T11:32:46.000Z

2020-12-10T23:32:18.000Z

import torch as th from unittest import TestCase from pro_gan_pytorch import CustomLayers as cL device = th.device("cuda" if th.cuda.is_available() else "cpu") class Test_equalized_conv2d(TestCase): def setUp(self): self.conv_block = cL._equalized_conv2d(21, 3, k_size=(3, 3), pad=1) # print the Equalized conv block print("\nEqualized conv block:\n%s" % str(self.conv_block)) def test_forward(self): mock_in = th.randn(32, 21, 16, 16).to(device) mock_out = self.conv_block(mock_in) # check output self.assertEqual(mock_out.shape, (32, 3, 16, 16)) self.assertEqual(th.isnan(mock_out).sum().item(), 0) self.assertEqual(th.isinf(mock_out).sum().item(), 0) # check the weight's scale self.assertAlmostEqual(self.conv_block.weight.data.std(), 1, delta=1e-1) def tearDown(self): # delete the computational resources del self.conv_block class Test_equalized_deconv2d(TestCase): def setUp(self): self.deconv_block = cL._equalized_deconv2d(21, 3, k_size=(3, 3), pad=1) # print the Equalized conv block print("\nEqualized conv block:\n%s" % str(self.deconv_block)) def test_forward(self): mock_in = th.randn(32, 21, 16, 16).to(device) mock_out = self.deconv_block(mock_in) # check output self.assertEqual(mock_out.shape, (32, 3, 16, 16)) self.assertEqual(th.isnan(mock_out).sum().item(), 0) self.assertEqual(th.isinf(mock_out).sum().item(), 0) # check the weight's scale self.assertAlmostEqual(self.deconv_block.weight.data.std(), 1, delta=1e-1) def tearDown(self): # delete the computational resources del self.deconv_block class Test_equalized_linear(TestCase): def setUp(self): self.lin_block = cL._equalized_linear(13, 52) # print the Equalized conv block print("\nEqualized linear block:\n%s" % str(self.lin_block)) def test_forward(self): # test the forward for the first res block mock_in = th.randn(32, 13).to(device) mock_out = self.lin_block(mock_in) # check output self.assertEqual(mock_out.shape, (32, 52)) self.assertEqual(th.isnan(mock_out).sum().item(), 0) self.assertEqual(th.isinf(mock_out).sum().item(), 0) # check the weight's scale self.assertAlmostEqual(self.lin_block.weight.data.std(), 1, delta=1e-1) def tearDown(self): # delete the computational resources del self.lin_block class Test_PixelwiseNorm(TestCase): def setUp(self): self.normalizer = cL.PixelwiseNorm() def test_forward(self): mock_in = th.randn(1, 13, 1, 1).to(device) mock_out = self.normalizer(mock_in) # check output self.assertEqual(mock_out.shape, mock_in.shape) self.assertEqual(th.isnan(mock_out).sum().item(), 0) self.assertEqual(th.isinf(mock_out).sum().item(), 0) # we cannot comment that the norm of the output tensor # will always be less than the norm of the input tensor # so no more checking can be done def tearDown(self): # delete the computational resources del self.normalizer class Test_MinibatchStdDev(TestCase): def setUp(self): self.minStdD = cL.MinibatchStdDev() def test_forward(self): mock_in = th.randn(1, 13, 16, 16).to(device) mock_out = self.minStdD(mock_in) # check output self.assertEqual(mock_out.shape[1], mock_in.shape[1] + 1) self.assertEqual(th.isnan(mock_out).sum().item(), 0) self.assertEqual(th.isinf(mock_out).sum().item(), 0) def tearDown(self): # delete the computational resources del self.minStdD

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aa48f57729bf1af92cafcf77cd0d806243d6e2f7

511

py

Python

onlinecourse/tests.py

vicbolo78/Week-8-Lab

39e086c2d8a07875218bce461b5ab1ca63b3b931

[ "Apache-2.0" ]

null

onlinecourse/tests.py

vicbolo78/Week-8-Lab

39e086c2d8a07875218bce461b5ab1ca63b3b931

[ "Apache-2.0" ]

null

onlinecourse/tests.py

vicbolo78/Week-8-Lab

39e086c2d8a07875218bce461b5ab1ca63b3b931

[ "Apache-2.0" ]

null

import unittest from django.test import TestCase class TestQuestion(unittest.TestCasel): def test_is_get_score(self, selected_ids): self.assertNotEqual(all_answers = self.choice_set.filter(is_correct=True).count() self.assertEqual(selected_correct = self.choice_set.filter(is_correct=True, id__in=selected_ids).count() if all_answers == selected_correct: return True else: return False if __name__=='__main__': unittest.main()

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1

aa49195189dacb2ef252f543c4131fc6f7dbb7a4

1,482

py

Python

trnsystor/statement/overwritecheck.py

samuelduchesne/pyTrnsys

f2deb5eb340a2814722eead5f8b6278a945c730d

[ "MIT" ]

5

2021-07-20T16:07:06.000Z

2022-02-09T07:57:21.000Z

trnsystor/statement/overwritecheck.py

samuelduchesne/pyTrnsys

f2deb5eb340a2814722eead5f8b6278a945c730d

[ "MIT" ]

50

2021-02-12T07:36:55.000Z

2022-03-21T10:40:47.000Z

trnsystor/statement/overwritecheck.py

samuelduchesne/pyTrnsys

f2deb5eb340a2814722eead5f8b6278a945c730d

[ "MIT" ]

4

2019-06-28T17:56:05.000Z

2020-02-24T16:33:28.000Z

"""OverwriteCheck Statement.""" from trnsystor.statement.statement import Statement class OverwriteCheck(Statement): """OverwriteCheck Statement. A common error in non standard and user written TRNSYS Type routines is to reserve too little space in the global output array. By default, each Type is accorded 20 spots in the global TRNSYS output array. However, there is no way to prevent the Type from then writing in (for example) the 21st spot; the entire global output array is always accessible. By activating the OVERWRITE_CHECK statement, the TRNSYS kernel checks to make sure that each Type did not write outside its allotted space. As with the NAN_CHECK statement, OVERWRITE_CHECK is a time consuming process and should only be used as a debugging tool when a simulation is ending in error. """ def __init__(self, n=0): """Initialize an OVERWRITE_CHECK object. Hint: OVERWRITE_CHECK is a time consuming process and should only be used as a debugging tool when a simulation is ending in error. Args: n (int): Is 0 if the OVERWRITE_CHECK feature is not desired or 1 if OVERWRITE_CHECK feature is desired. """ super().__init__() self.n = int(n) self.doc = "The OVERWRITE_CHECK Statement" def _to_deck(self): """Return deck representation of self.""" return "OVERWRITE_CHECK {}".format(self.n)

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aa61678d6fbbb6831ab89015e270d094a885eab5

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py

Python

Chapter 16/Lookup/algorithms.py

codered-by-ec-council/Micro-Degree-in-Python-Security

cb16ed78ee38dad32e3909371edec8ff3ce6e6a7

[ "MIT" ]

4

2020-09-25T05:57:22.000Z

2021-02-27T14:56:23.000Z

Chapter 16/Lookup/algorithms.py

codered-by-ec-council/Micro-Degree-in-Python-Security

cb16ed78ee38dad32e3909371edec8ff3ce6e6a7

[ "MIT" ]

4

2021-06-08T23:01:11.000Z

2022-03-12T00:54:16.000Z

Chapter 16/Lookup/algorithms.py

codered-by-ec-council/Micro-Degree-in-Python-Security

cb16ed78ee38dad32e3909371edec8ff3ce6e6a7

[ "MIT" ]

5

2020-10-15T10:22:04.000Z

2021-11-16T22:17:50.000Z

#!/usr/bin/env python3 ''' This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. --------------------------------------------------------------------- The first step in creating a cryptographic hash lookup table. Creates a file of the following format: [HASH_PART][WORDLIST_OFFSET][HASH_PART][WORDLIST_OFFSET]... HASH_PART is the first 64 BITS of the hash, right-padded with zeroes if necessary. WORDLIST_OFFSET is the position of the first character of the word in the dictionary encoded as a 48-bit LITTLE ENDIAN integer. ''' import sys import hashlib from binascii import hexlify, unhexlify try: import passlib # from passlib.utils.handlers import MAX_PASSWORD_SIZE from passlib.hash import nthash, lmhash, mysql41, oracle10, mysql323 from passlib.hash import msdcc, msdcc2, postgres_md5 except ImportError: err = "\nFailed to import passlib" sys.stderr.write(err) sys.stderr.flush() passlib = None try: import whirlpool except ImportError: sys.stderr.write("\nFailed to import whirlpool") sys.stderr.flush() whirlpool = None class BaseAlgorithm(object): ''' Gives us a single interface to passlib and hashlib ''' _data = None def __init__(self, data=None): self.data = data if data is not None else b'' @property def data(self): return self._data @data.setter def data(self, value): if isinstance(value, str): value = value.encode() if not isinstance(value, bytes): raise TypeError('Data must be bytes') self._data = value def update(self, data): if isinstance(data, str): data = data.encode() if not isinstance(data, bytes): raise TypeError('Data must be bytes') self._data += data def digest(self): raise NotImplementedError() def hexdigest(self): return hexlify(self.digest()) ########################################################## # > HASHLIB ########################################################## class Md4(BaseAlgorithm): name = 'Message Digest 4' key = 'md4' hex_length = 32 def digest(self): return hashlib.new('md4', self.data).digest() class Md5(BaseAlgorithm): name = 'Message Digest 5' key = 'md5' hex_length = 32 def digest(self): return hashlib.md5(self.data).digest() class Sha1(BaseAlgorithm): name = 'Secure Hashing Algorithm 1' key = 'sha1' hex_length = 40 def digest(self): return hashlib.sha1(self.data).digest() class Sha224(BaseAlgorithm): name = 'Secure Hashing Algorithm 2 (224 bit)' key = 'sha2-224' hex_length = 56 def digest(self): return hashlib.sha224(self.data).digest() class Sha256(BaseAlgorithm): name = 'Secure Hashing Algorithm 2 (256 bit)' key = 'sha2-256' hex_length = 64 def digest(self): return hashlib.sha256(self.data).digest() class Sha384(BaseAlgorithm): name = 'Secure Hashing Algorithm 2 (384 bit)' key = 'sha2-384' hex_length = 96 def digest(self): return hashlib.sha384(self.data).digest() class Sha512(BaseAlgorithm): name = 'Secure Hashing Algorithm 2 (512 bit)' key = 'sha2-512' hex_length = 128 def digest(self): return hashlib.sha512(self.data).digest() class Ripemd160(BaseAlgorithm): name = "RACE Integrity Primitives Evaluation Message Digest (160 bit)" key = "ripemd160" hex_length = 40 def digest(self): md = hashlib.new('ripemd160') md.update(self._data) return md.digest() ########################################################## # > SHA3 ########################################################## class Sha3_224(BaseAlgorithm): name = 'Secure Hashing Algorithm 3 (224 bit)' key = 'sha3-224' hex_length = 56 def digest(self): return hashlib.sha3_224(self.data).digest() class Sha3_256(BaseAlgorithm): name = 'Secure Hashing Algorithm 3 (256 bit)' key = 'sha3-256' hex_length = 64 def digest(self): return hashlib.sha3_256(self.data).digest() class Sha3_384(BaseAlgorithm): name = 'Secure Hashing Algorithm 3 (384 bit)' key = 'sha3-384' hex_length = 96 def digest(self): return hashlib.sha3_384(self._data).digest() class Sha3_512(BaseAlgorithm): name = 'Secure Hashing Algorithm 3 (512 bit)' key = 'sha3-512' hex_length = 128 def digest(self): return hashlib.sha3_512(self.data).digest() ########################################################## # > PASSLIB ########################################################## class Lm(BaseAlgorithm): name = 'LM' key = 'lm' hex_length = 32 def digest(self): return unhexlify(lmhash.encrypt(self.data[:15])) class Ntlm(BaseAlgorithm): name = 'NTLM' key = 'ntlm' hex_length = 32 def digest(self): return unhexlify(nthash.encrypt(self.data[:127])) class MySql323(BaseAlgorithm): name = 'MySQL v3.2.3' key = 'mysql323' hex_length = 16 def digest(self): return unhexlify(mysql323.encrypt(self.data[:64])) class MySql41(BaseAlgorithm): ''' Ignore the preceeding "*" symbol ''' name = 'MySQL v4.1' key = 'mysql41' hex_length = 40 def digest(self): return unhexlify(mysql41.encrypt(self.data[:64])[1:]) class Oracle10(BaseAlgorithm): ''' Base Oracle 10g algorithm, this algorithm is salted with a username. Subclasses contain common usernames. ''' hex_length = 16 _user = '' def digest(self): return unhexlify(oracle10.encrypt(self.data[:64], user=self._user)) class Oracle10_Sys(Oracle10): name = 'Oracle 10g (SYS)' key = 'oracle10g-sys' _user = 'SYS' class Oracle10_System(Oracle10): name = 'Oracle 10g (SYSTEM)' key = 'oracle10g-system' _user = 'SYSTEM' class PostgresMd5(BaseAlgorithm): hex_length = 32 _user = '' def digest(self): ''' Removes the "md5" prefix ''' return unhexlify(postgres_md5.encrypt(self._data[:64], user=self._user)[3:]) class PostgresMd5_Root(PostgresMd5): name = 'Postgres MD5 (root)' key = 'postgres_md5-root' _user = 'root' class PostgresMd5_Postgres(PostgresMd5): name = 'Postgres MD5 (postgres)' key = 'postgres_md5-postgres' _user = 'postgres' class PostgresMd5_Admin(PostgresMd5): name = 'Postgres MD5 (admin)' key = 'postgres_md5-admin' _user = 'admin' class Msdcc_Administrator(BaseAlgorithm): name = 'MS Domain Cached Credentials' key = 'msdcc-administrator' hex_length = 32 _user = "administrator" def digest(self): return unhexlify(msdcc.encrypt(self._data[:64], user=self._user)) class Msdcc2_Administrator(BaseAlgorithm): name = 'MS Domain Cached Credentials v2' key = 'msdcc2-administrator' hex_length = 32 _user = "administrator" def digest(self): return unhexlify(msdcc2.encrypt(self._data[:64], user=self._user)) ########################################################## # > Whirlpool ########################################################## class Whirlpool(BaseAlgorithm): name = "Whirlpool" key = "whirlpool" hex_length = 128 def digest(self): return whirlpool.new(self._data).digest() # Base algorithms algorithms = { Md4.key: Md4, Md5.key: Md5, Sha1.key: Sha1, Sha224.key: Sha224, Sha256.key: Sha256, Sha384.key: Sha384, Sha512.key: Sha512, Sha3_224.key: Sha3_224, Sha3_256.key: Sha3_256, Sha3_384.key: Sha3_384, Sha3_512.key: Sha3_512 } if hasattr(hashlib, "algorithms_available"): if 'ripemd160' in hashlib.algorithms_available: algorithms[Ripemd160.key] = Ripemd160 if passlib is not None: algorithms[Lm.key] = Lm algorithms[Ntlm.key] = Ntlm algorithms[MySql323.key] = MySql323 algorithms[MySql41.key] = MySql41 algorithms[Oracle10_Sys.key] = Oracle10_Sys algorithms[Oracle10_System.key] = Oracle10_System algorithms[Msdcc_Administrator.key] = Msdcc_Administrator algorithms[Msdcc2_Administrator.key] = Msdcc2_Administrator algorithms[PostgresMd5_Admin.key] = PostgresMd5_Admin algorithms[PostgresMd5_Postgres.key] = PostgresMd5_Postgres algorithms[PostgresMd5_Root.key] = PostgresMd5_Root if whirlpool is not None: algorithms[Whirlpool.key] = Whirlpool

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null

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aa66b44f404f54a5640fb09e472c1518a47d7552

5,142

py

Python

taxi/migrations/0001_initial.py

alifelan/taxi-unico-web

edcbe8a8a9584350452fcea04a83247c5676b8f6

[ "MIT" ]

1

2021-05-26T09:06:08.000Z

taxi/migrations/0001_initial.py

alifelan/taxi-unico-web

edcbe8a8a9584350452fcea04a83247c5676b8f6

[ "MIT" ]

10

2019-04-13T00:08:17.000Z

2019-05-09T10:43:06.000Z

taxi/migrations/0001_initial.py

alifelan/taxi-unico-web

edcbe8a8a9584350452fcea04a83247c5676b8f6

[ "MIT" ]

null

# Generated by Django 2.2 on 2019-05-09 06:09 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='BusTrip', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('first_departure_date', models.DateTimeField()), ('first_arrival_date', models.DateTimeField()), ('second_departure_date', models.DateTimeField(blank=True, null=True)), ('second_arrival_date', models.DateTimeField(blank=True, null=True)), ('round_trip', models.BooleanField(default=False)), ], ), migrations.CreateModel( name='City', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('city', models.CharField(max_length=50)), ], ), migrations.CreateModel( name='Location', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('name', models.CharField(max_length=50)), ('address', models.CharField(max_length=50)), ('latitude', models.FloatField()), ('longitude', models.FloatField()), ('city', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='locations', to='taxi.City')), ], ), migrations.CreateModel( name='State', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('state', models.CharField(max_length=50)), ], ), migrations.CreateModel( name='Taxi', fields=[ ('driver_name', models.CharField(max_length=50)), ('email', models.CharField(max_length=50, primary_key=True, serialize=False)), ('password', models.CharField(max_length=50)), ('plate', models.CharField(max_length=15)), ('model', models.CharField(max_length=50)), ('brand', models.CharField(max_length=50)), ('taxi_number', models.IntegerField()), ('city', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='taxis', to='taxi.City')), ], ), migrations.CreateModel( name='User', fields=[ ('name', models.CharField(max_length=50)), ('email', models.CharField(max_length=50, primary_key=True, serialize=False)), ('password', models.CharField(max_length=50)), ('card', models.CharField(max_length=16)), ], ), migrations.CreateModel( name='TaxiTrip', fields=[ ('id', models.AutoField(primary_key=True, serialize=False)), ('departure_date', models.DateTimeField()), ('arrival_date', models.DateTimeField()), ('price', models.FloatField(blank=True, null=True)), ('taxi_rating', models.PositiveSmallIntegerField(blank=True, null=True)), ('user_rating', models.PositiveSmallIntegerField(blank=True, null=True)), ('distance_meters', models.FloatField()), ('distance_string', models.CharField(max_length=100)), ('time_seconds', models.BigIntegerField()), ('time_string', models.CharField(max_length=100)), ('status', models.CharField(max_length=9)), ('bus_trip', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='taxiTrips', to='taxi.BusTrip')), ('destination', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='taxiTripsD', to='taxi.Location')), ('origin', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='taxiTripsO', to='taxi.Location')), ('taxi', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='trips', to='taxi.Taxi')), ('user', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='taxiTrips', to='taxi.User')), ], ), migrations.AddField( model_name='city', name='state', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='cities', to='taxi.State'), ), migrations.AddField( model_name='bustrip', name='destination', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='busTripsD', to='taxi.Location'), ), migrations.AddField( model_name='bustrip', name='origin', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='busTripsO', to='taxi.Location'), ), ]

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null

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aa6a2735bc18f7d76cf04368018e139d17c5dd19

1,116

py

Python

pepdb/cms_pages/migrations/0006_auto_20151024_2019.py

dchaplinsky/pep.org.ua

8633a65fb657d7f04dbdb12eb8ae705fa6be67e3

[ "MIT" ]

7

2015-12-21T03:52:46.000Z

2020-07-24T19:17:23.000Z

pepdb/cms_pages/migrations/0006_auto_20151024_2019.py

dchaplinsky/pep.org.ua

8633a65fb657d7f04dbdb12eb8ae705fa6be67e3

[ "MIT" ]

12

2016-03-05T18:11:05.000Z

2021-06-17T20:20:03.000Z

pepdb/cms_pages/migrations/0006_auto_20151024_2019.py

dchaplinsky/pep.org.ua

8633a65fb657d7f04dbdb12eb8ae705fa6be67e3

[ "MIT" ]

4

2016-07-17T20:19:38.000Z

2021-03-23T12:47:20.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models import wagtail.wagtailcore.fields class Migration(migrations.Migration): dependencies = [ ('cms_pages', '0005_auto_20150829_1516'), ] operations = [ migrations.AddField( model_name='homepage', name='body_en', field=wagtail.wagtailcore.fields.RichTextField(default='', verbose_name='[EN] \u0422\u0435\u043a\u0441\u0442 \u043d\u0430 \u0431\u043b\u0430\u043a\u0438\u0442\u043d\u0456\u0439 \u043f\u0430\u043d\u0435\u043b\u0456'), ), migrations.AddField( model_name='homepage', name='title_en', field=models.CharField(default='', max_length=255), ), migrations.AlterField( model_name='homepage', name='body', field=wagtail.wagtailcore.fields.RichTextField(default='', verbose_name='[UA] \u0422\u0435\u043a\u0441\u0442 \u043d\u0430 \u0431\u043b\u0430\u043a\u0438\u0442\u043d\u0456\u0439 \u043f\u0430\u043d\u0435\u043b\u0456'), ), ]

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0

null

0

1

aa6aeec0b7ed691ded9f765e25e1d736dda9bbf4

1,255

py

Python

autorop/leak/puts.py

Tanson/autorop

0d2fc71cdcc9649a6006aee641a3808f884d7fc4

[ "MIT" ]

null

autorop/leak/puts.py

Tanson/autorop

0d2fc71cdcc9649a6006aee641a3808f884d7fc4

[ "MIT" ]

null

autorop/leak/puts.py

Tanson/autorop

0d2fc71cdcc9649a6006aee641a3808f884d7fc4

[ "MIT" ]

null

from autorop import PwnState, arutil from pwn import ROP def puts(state: PwnState) -> PwnState: """Leak libc addresses using ``puts``. This function leaks the libc addresses of ``__libc_start_main`` and ``puts`` using ``puts``, placing them in ``state.leaks``. Arguments: state: The current ``PwnState`` with the following set - ``target``: What we want to exploit. - ``_elf``: pwntools ``ELF`` of ``state.binary_name``. - ``overwriter``: Function which writes rop chain to the "right place". - ``vuln_function``: Name of vulnerable function in binary, which we can return to repeatedly. Returns: Mutated ``PwnState``, with the following updated - ``target``: The instance of target from which we got a successful leak. Hopefully it can still be interacted with. - ``leaks``: Updated with ``"symbol": address`` pairs for each function address of libc that was leaked. """ LEAK_FUNCS = ["__libc_start_main", "puts"] def leaker(rop: ROP, address: int) -> ROP: arutil.align_call(rop, "puts", [address]) return rop return arutil.leak_helper(state, leaker, LEAK_FUNCS)

35.857143

85

0.619124

154

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4.948052

0.5

0.034121

0.062992

0

0.268526

1,255

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0

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false

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0

null

0

null

0

1

0

1

aa707bae2c10ff673808c3e9ddea8f24a1136fa7

4,463

py

Python

train.py

MannyKayy/PlayableVideoGeneration

14133f94e14a40fc17f283e5b01c168bc45990b6

[ "MIT" ]

1

2021-06-19T11:34:29.000Z

train.py

MannyKayy/PlayableVideoGeneration

14133f94e14a40fc17f283e5b01c168bc45990b6

[ "MIT" ]

null

train.py

MannyKayy/PlayableVideoGeneration

14133f94e14a40fc17f283e5b01c168bc45990b6

[ "MIT" ]

null

import argparse import importlib import os import torch import torch.nn as nn import torchvision import numpy as np from dataset.dataset_splitter import DatasetSplitter from dataset.transforms import TransformsGenerator from dataset.video_dataset import VideoDataset from evaluation.action_sampler import OneHotActionSampler, GroundTruthActionSampler from evaluation.evaluator import Evaluator from training.trainer import Trainer from utils.configuration import Configuration from utils.logger import Logger torch.backends.cudnn.benchmark = True if __name__ == "__main__": # Loads configuration file parser = argparse.ArgumentParser() parser.add_argument("--config", type=str, required=True) arguments = parser.parse_args() config_path = arguments.config configuration = Configuration(config_path) configuration.check_config() configuration.create_directory_structure() config = configuration.get_config() logger = Logger(config) search_name = config["model"]["architecture"] model = getattr(importlib.import_module(search_name), 'model')(config) model.cuda() datasets = {} dataset_splits = DatasetSplitter.generate_splits(config) transformations = TransformsGenerator.get_final_transforms(config) for key in dataset_splits: path, batching_config, split = dataset_splits[key] transform = transformations[key] datasets[key] = VideoDataset(path, batching_config, transform, split) # Creates trainer and evaluator trainer = getattr(importlib.import_module(config["training"]["trainer"]), 'trainer')(config, model, datasets["train"], logger) # Evaluators will be assigned their specific action samplers to implement the evaluation strategy evaluator_inferred_actions = getattr(importlib.import_module(config["evaluation"]["evaluator"]), 'evaluator')(config, datasets["validation"], logger, action_sampler=None, logger_prefix="validation_inferred_actions") evaluator_inferred_actions_onehot = getattr(importlib.import_module(config["evaluation"]["evaluator"]), 'evaluator')(config, datasets["validation"], logger, action_sampler=OneHotActionSampler(), logger_prefix="validation_inferred_actions_onehot") evaluator_ground_truth_actions = getattr(importlib.import_module(config["evaluation"]["evaluator"]), 'evaluator')(config, datasets["validation"], logger, action_sampler=None, logger_prefix="validation_gt_actions") # Resume training try: trainer.load_checkpoint(model) except Exception as e: logger.print(e) logger.print("- Warning: training without loading saved checkpoint") model = nn.DataParallel(model) model.cuda() logger.get_wandb().watch(model, log='all') last_save_step = 0 last_eval_step = 0 # Makes the model parallel and train while trainer.global_step < config["training"]["max_steps"]: model.train() trainer.train_epoch(model) # Saves the model trainer.save_checkpoint(model) if trainer.global_step > last_save_step + config["training"]["save_freq"]: trainer.save_checkpoint(model, f"checkpoint_{trainer.global_step}") last_save_step = trainer.global_step model.eval() # Evaluates the model if trainer.global_step > last_eval_step + config["evaluation"]["eval_freq"]: # Evaluates with actions predicted from the model evaluator_inferred_actions.evaluate(model, trainer.global_step) # Evaluates with actions predicted from the model in one hot version # Disabled to improve evaluation time #evaluator_inferred_actions_onehot.evaluate(model, trainer.global_step) if config["data"]["ground_truth_available"]: # Evaluates with ground truth actions translated to the model action space # Uses the mapping between inferred and ground truth actions to configure the # ground truth action space -> model action space translation function action_mapping = evaluator_inferred_actions.get_best_action_mappings() ground_truth_action_sampler = GroundTruthActionSampler(action_mapping) evaluator_ground_truth_actions.set_action_sampler(ground_truth_action_sampler) evaluator_ground_truth_actions.evaluate(model, trainer.global_step) last_eval_step = trainer.global_step

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false

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0.30303

0.030303

0

null

0

null

0

1

0

1

aa7171ed1f15768b83ea9a034a29465b15d2d581

1,039

py

Python

integration-test/291-483-suppress-historical-closed.py

roman-ianivskyy/vector-datasource

3d59c0d9856d6bc2a78c4a9273b4e850c2e41d92

[ "MIT" ]

null

integration-test/291-483-suppress-historical-closed.py

roman-ianivskyy/vector-datasource

3d59c0d9856d6bc2a78c4a9273b4e850c2e41d92

[ "MIT" ]

null

integration-test/291-483-suppress-historical-closed.py

roman-ianivskyy/vector-datasource

3d59c0d9856d6bc2a78c4a9273b4e850c2e41d92

[ "MIT" ]

null

# -*- encoding: utf-8 -*- import dsl from shapely.wkt import loads as wkt_loads from . import FixtureTest class SuppressHistoricalClosed(FixtureTest): def test_cartoon_museum(self): # Cartoon Art Museum (closed) self.generate_fixtures(dsl.way(368173967, wkt_loads('POINT (-122.400856246311 37.78696485494709)'), {u'name': u'Cartoon Art Museum (closed)', u'gnis:reviewed': u'no', u'addr:state': u'CA', u'ele': u'7', u'source': u'openstreetmap.org', u'wikidata': u'Q1045990', u'gnis:import_uuid': u'57871b70-0100-4405-bb30-88b2e001a944', u'gnis:feature_id': u'1657282', u'tourism': u'museum', u'gnis:county_name': u'San Francisco'})) # POI shouldn't be visible early self.assert_no_matching_feature( 15, 5242, 12664, 'pois', {'id': 368173967}) # but POI should be present at z17 and marked as closed self.assert_has_feature( 16, 10485, 25328, 'pois', {'id': 368173967, 'kind': 'closed', 'min_zoom': 17})

43.291667

247

0.636189

141

1,039

4.588652

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0.049459

0.068006

0

0.156404

0.218479

1,039

23

248

45.173913

0.640394

0.130895

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0

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1

0.076923

false

0

0.307692

0

0.461538

0

null

0

null

0

1

0

1

aa7c9e46ce390c33e4950020c5b8e38f18d9c7b1

2,905

py

Python

pic_carver.py

volf52/black_hat_python

063c241db473d3ef25782efc17f651c3aa66b4f8

[ "MIT" ]

null

pic_carver.py

volf52/black_hat_python

063c241db473d3ef25782efc17f651c3aa66b4f8

[ "MIT" ]

null

pic_carver.py

volf52/black_hat_python

063c241db473d3ef25782efc17f651c3aa66b4f8

[ "MIT" ]

null

#!/usr/bin/env python """ @author : 'Muhammad Arslan <rslnrkmt2552@gmail.com>' """ import re import zlib import cv2 from scapy.all import * pics = "pictues" faces_dir = "faces" pcap_file = "bhp.pcap" def get_http_headers(http_payload): try: headers_raw = http_payload[:http_payload.index("\r\n\r\n")+2] headers = dict(re.findall(r"(?P<'name>.*?): (?P<value>.*?)\r\n", headers_raw)) except: return None def extract_images(headers, http_payload): image = None image_type = None try: if "image" in headers['Content-Type']: image_type = headers['Content-Type'].split('/')[1] image = http_payload[http_payload.index('\r\n\r\n') + 4:] try: if "Content-Encoding" in headers.keys(): if headers['Content-Encoding'] == 'gzip': image = zlib.decompress(image, 16+zlib.MAX_WBITS) elif headers['Content-Encoding'] == "deflate": image = zlib.decompress(image) except: pass except: return None, None return image, image_type def face_detect(path, filename): img = cv2.imread(path) cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml") rects = cascade.detectMultiScale(img, 1.3, 4, cv2.cv.CV_HAAR_SCALE_IMAGE, (20, 20)) if len(rects) == 0: return False rects[:, 2:] += rects[:, :2] for x1, y1, x2, y2 in rects: cv2.rectangle(img, (x1, y1), (x2, y2), (127, 255, 0), 2) cv2.imwrite("%s/$s-%s" % (faces_dir, pcap_file, filename), img) return True def http_assembler(pcap_file): carved_images = 0 faces_detected = 0 a = rdpcap(pcap_file) sessions = a.sessions() for session in sessions: http_payload = "" for packet in sessions[session]: try: if packet[TCP].dport == 80 or packet[TCP].sport == 80: http_payload += str(packet[TCP].payload) except: pass headers = get_http_headers(http_payload) if headers is None: continue image, image_type = extract_image(headers, http_payload) if image is not None and image_type is not None: file_name = "%s-pic_carver_%d.%s" % (pcap_file, carved_images, image_type) with open("%s/%s" % (pics, file_name), "wb") as fd: fd.write(image) carved_images += 1 try: result = face_detect("%s/%s" % (pics, file_name), file_name) if result is True: faces_detected += 1 except: pass return carved_images, faces_detected carved_images, faces_detected = http_assembler(pcap_file) print "Extracted: %d images" % carved_images print "Detected: %d faces" % faces_detected

25.9375

87

0.571084

363

2,905

4.407714

0.347107

0.06875

0.045

0.0225

0.0875

0.03875

0

0.024233

0.303959

2,905

111

88

26.171171

0.767062

0.006885

0

0.175676

0

0.094681

0.010993

0

null

0.040541

0.054054

null

0.027027

0

null

0

null

0

1

0

1

aa7e5a273a38c1c336f9c6538edfafbe1859aa62

1,536

py

Python

py/testdir_hosts/test_rf_311M_rows_hosts.py

vkuznet/h2o

e08f7014f228cbaecfb21f57379970e6a3ac0756

[ "Apache-2.0" ]

null

py/testdir_hosts/test_rf_311M_rows_hosts.py

vkuznet/h2o

e08f7014f228cbaecfb21f57379970e6a3ac0756

[ "Apache-2.0" ]

null

py/testdir_hosts/test_rf_311M_rows_hosts.py

vkuznet/h2o

e08f7014f228cbaecfb21f57379970e6a3ac0756

[ "Apache-2.0" ]

null

import unittest, sys, time sys.path.extend(['.','..','py']) import h2o_cmd, h2o, h2o_hosts, h2o_browse as h2b, h2o_import as h2i # Uses your username specific json: pytest_config-<username>.json # copy pytest_config-simple.json and modify to your needs. class Basic(unittest.TestCase): def tearDown(self): h2o.check_sandbox_for_errors() @classmethod def setUpClass(cls): h2o_hosts.build_cloud_with_hosts() @classmethod def tearDownClass(cls): h2o.tear_down_cloud() def test_rf_311M_rows_hosts(self): # since we'll be waiting, pop a browser # h2b.browseTheCloud() importFolderPath = 'standard' csvFilename = 'new-poker-hand.full.311M.txt.gz' csvPathname = importFolderPath + "/" + csvFilename for trials in range(2): parseResult = h2i.import_parse(bucket='home-0xdiag-datasets', path=csvPathname, schema='local', timeoutSecs=500) print csvFilename, 'parse time:', parseResult['response']['time'] print "Parse result['destination_key']:", parseResult['destination_key'] inspect = h2o_cmd.runInspect(None,parseResult['destination_key']) print "\n" + csvFilename start = time.time() RFview = h2o_cmd.runRF(parseResult=parseResult, trees=5, depth=5, timeoutSecs=600, retryDelaySecs=10.0) print "RF end on ", csvFilename, 'took', time.time() - start, 'seconds' if __name__ == '__main__': h2o.unit_main()

35.72093

108

0.647786

180

1,536

5.338889

0.611111

0.01873

0.052029

0

0.028862

0.233073

1,536

42

109

36.571429

0.786927

0.116536

0

0.068966

0

0.137778

0.042222

0

null

0

0.172414

null

0.137931

0

null

0

null

0

1

0

1

aa84562ff31e7d467b614463b77b32138e9f4492

372

py

Python

amktools/util.py

jimbo1qaz/amktools

25a65d7c9c09a2622065fcacdaed82e1f9d7fb2c

[ "BSD-3-Clause" ]

2

2020-03-14T06:13:03.000Z

2022-03-03T17:53:51.000Z

amktools/util.py

nyanpasu64/amktools

25a65d7c9c09a2622065fcacdaed82e1f9d7fb2c

[ "BSD-3-Clause" ]

14

2018-06-19T14:48:58.000Z

2018-10-28T07:02:27.000Z

amktools/util.py

jimbo1qaz/amktools

25a65d7c9c09a2622065fcacdaed82e1f9d7fb2c

[ "BSD-3-Clause" ]

null

from typing import TypeVar, Optional def ceildiv(n: int, d: int) -> int: return -(-n // d) T = TypeVar("T") def coalesce(*args: Optional[T]) -> T: if len(args) == 0: raise TypeError("coalesce expected >=1 argument, got 0") for arg in args: if arg is not None: return arg raise TypeError("coalesce() called with all None")

20.666667

64

0.594086

54

372

4.092593

0.592593

0.126697

0.199095

0

0.011111

0.274194

372

17

65

21.882353

0.807407

0

0.185484

0

1

0.181818

false

0

0.090909

0.454545

0

null

0

1

0

null

0

1

aa84e85a9b53b2b65be434c51bb6eb739b861665

3,638

py

Python

sql_judge/model/load_types.py

r4ulill0/gui_dbjudge

7c421c6f2fe1281f95e624242338b3e020ee5f28

[ "MIT" ]

1

2020-12-11T10:45:58.000Z

sql_judge/model/load_types.py

r4ulill0/gui_dbjudge

7c421c6f2fe1281f95e624242338b3e020ee5f28

[ "MIT" ]

null

sql_judge/model/load_types.py

r4ulill0/gui_dbjudge

7c421c6f2fe1281f95e624242338b3e020ee5f28

[ "MIT" ]

null

from PyQt5.QtCore import QAbstractTableModel, QAbstractItemModel from PyQt5.QtCore import Qt, QModelIndex, pyqtSlot class LoadTypesProcess(QAbstractTableModel): def __init__(self): super().__init__() self.csv_values = [] self.header_model = HeaderModel() def index(self, row, column, parent=QModelIndex()): return self.createIndex(row, column) def rowCount(self, parent=QModelIndex()): return len(self.csv_values) def columnCount(self, parent=QModelIndex()): count = 0 if len(self.csv_values): count = len(self.csv_values[0]) return count def data(self, index, role=Qt.DisplayRole): if role == Qt.DisplayRole: return self.csv_values[index.row()][index.column()] def setData(self, index, value, role=Qt.EditRole): if index.isValid() and role == Qt.EditRole: if index.column() >= self.columnCount(): self.insertColumns(index.column(), 1) if index.row() >= self.rowCount(): self.insertRows(index.row(), 1) self.csv_values[index.row()][index.column()] = value self.dataChanged.emit(index, index) return True return False def flags(self, index): return QAbstractTableModel.flags(self, index) | Qt.ItemIsEditable def insertRows(self, position, rows, index=QModelIndex()): self.beginInsertRows(index, position, position+rows-1) for _ in range(rows): new_row = [] for _ in range(self.columnCount()): new_row.append("") self.csv_values.append(new_row) self.endInsertRows() return True def insertColumns(self, position, columns, index=QModelIndex()): self.beginInsertColumns(index, position, position+columns-1) for row in self.csv_values: for _ in range(columns): row.append("") self.endInsertColumns() return True def removeRows(self, position, rows, index=QModelIndex()): self.beginRemoveRows(index, position, position+rows-1) for row in reversed(range(position, position+rows)): self.csv_values.pop(row) self.endRemoveRows() def removeColumns(self, position, columns, index=QModelIndex()): self.beginRemoveColumns(index, position, position+columns-1) for row in self.csv_values: for column in reversed(range(position, position+columns)): row.pop(column) class HeaderModel(QAbstractItemModel): def __init__(self): super().__init__() self.values = [] def index(self, row, column, parent=QModelIndex()): return self.createIndex(row, column) def columnCount(self, parent=QModelIndex()): return len(self.values) def rowCount(self, parent=QModelIndex()): return 1 def headerData(self, section, orientation, role=Qt.DisplayRole): if role == Qt.DisplayRole: return self.values[section] def setHeaderData(self, section, orientation, value, role=Qt.EditRole): if role == Qt.EditRole: self.values[section] = value def removeColumn(self, column, index=QModelIndex()): self.beginRemoveColumns(index, column, column) self.values.pop(column) self.endRemoveColumns() def insertColumns(self, column, amount, index=QModelIndex()): self.beginInsertColumns(index, column, column+amount-1) for idx in range(amount): self.values.append(str(self.columnCount()+idx)) self.endInsertColumns()

33.685185

75

0.631116

396

3,638

5.714646

0.194444

0.030932

0.057446

0.035793

0.47194

0.340256

0.176757

0.150243

0.109589

0

0.004423

0.254261

3,638

107

76

34

0.829709

0

0.256098

0

1

0.231707

false

0

0.02439

0.073171

0.439024

0

null

0

null

0

1

0

1

aa8b120c78b48885a14d17efcfc8523380e3b89e

388

py

Python

base/struct_data.py

cateatfish108/AutoTest

8697aadd4c60c6a7cb435f784fc5c588805067bf

[ "MIT" ]

null

base/struct_data.py

cateatfish108/AutoTest

8697aadd4c60c6a7cb435f784fc5c588805067bf

[ "MIT" ]

null

base/struct_data.py

cateatfish108/AutoTest

8697aadd4c60c6a7cb435f784fc5c588805067bf

[ "MIT" ]

null

#coding:utf-8 # 数据库结构体 class DataBase: url = "" port = 3306 username = "" password = "" database = "" charset = "" # 测试用例信息结构体 class CaseInfo: path = "" case_list = [] # 测试用例结构体 class Case: url = "" db_table = "" case_id = "" method = "" data = {} check_item = {} status = "" db_key = {} check_result = ""

12.933333

21

0.474227

36

388

4.944444

0.777778

0

0.020661

0.376289

388

30

21

12.933333

0.714876

0.095361

0

0.1

0

1

0

false

0.05

0

1

0

null

0

null

0

1

0

1

aa8f41fdb7d2b4f91adbdaae406e59a5680747b1

3,829

py

Python

camper/handlers/users/edit.py

mrtopf/camper

7016539f92202bbea608c6d53ce19097d4ad931d

[ "MIT" ]

13

2016-03-13T02:33:39.000Z

2021-04-01T13:09:12.000Z

camper/handlers/users/edit.py

comlounge/camper

7016539f92202bbea608c6d53ce19097d4ad931d

[ "MIT" ]

122

2016-03-10T09:28:09.000Z

2021-09-07T23:49:05.000Z

camper/handlers/users/edit.py

mrtopf/camper

7016539f92202bbea608c6d53ce19097d4ad931d

[ "MIT" ]

5

2017-01-11T22:00:57.000Z

2020-04-26T14:03:32.000Z

#encoding=utf8 from starflyer import Handler, redirect, asjson from camper import BaseForm, db, BaseHandler from camper import logged_in, is_admin from wtforms import * from sfext.babel import T from camper.handlers.forms import * import werkzeug.exceptions from bson import ObjectId from camper.handlers.images import AssetUploadView class ProfileImageAssetUploadView(AssetUploadView): """custom upload handler for different version""" variant = "medium_user" class EditForm(BaseForm): """form for adding a barcamp""" user_id = HiddenField() fullname = TextField(T(u"Fullname")) username = TextField(T(u"url name (username)"), [validators.Length(min=3, max=50), validators.Required(), validators.Regexp('^[a-zA-Z0-9_]+$')], description=T("this is the url path of your profile page, should only contain letters and numbers")) bio = TextAreaField(T(u"About me")) organisation = TextField(T(u"Organization"), [validators.Length(max=100)], description = T("your school, company, institution (max. 100 characters)")) twitter = TextField(T(u"Twitter"), [validators.Length(max=100)], description = T("your twitter username")) facebook = TextField(T(u"Facebook"), [validators.Length(max=255)], description = T("path to your facebook profile (without domain)")) image = UploadField(T(u"Profile Image (optional)")) # TODO: maybe change email, too? def validate_email(form, field): if form.app.module_map.userbase.users.find({'email' : field.data}).count() > 0: raise ValidationError(form.handler._('this email address is already taken')) def validate_username(form, field): if form.app.module_map.userbase.users.find({'username' : field.data, '_id' : {'$ne': ObjectId(form.data['user_id'])}}).count() > 0: raise ValidationError(form.handler._('this url path is already taken')) class ProfileEditView(BaseHandler): """shows the profile edit form""" template = "users/edit.html" @logged_in() def get(self): """render the view""" form = EditForm(self.request.form, obj = self.user, config = self.config, app = self.app, handler = self) if self.user.image: try: asset = self.app.module_map.uploader.get(self.user.image) image = self.url_for("asset", asset_id = asset.variants['medium_user']._id) except: image = None else: image = None if self.request.method=="POST": if form.validate(): self.user.update(form.data) self.user.save() self.flash(self._("Your profile has been updated"), category="info") url = self.url_for("profile", username = self.user.username) return redirect(url) else: self.flash(self._("There have been errors in the form"), category="danger") return self.render(form = form, user = self.user, image = image) post = get class ProfileImageDeleteView(BaseHandler): """delete the profile image""" @asjson() def json(self, d): return d @logged_in() def delete(self): """delete the profile image and return to the profile page""" asset_id = self.user.image if asset_id is not None: asset = self.app.module_map.uploader.remove(asset_id) self.user.image = None self.user.save() self.flash(self._("Your profile image has been deleted"), category="info") fmt = self.request.form.get("fmt", "html") if fmt=="html": url = self.url_for("profile", username = self.user.username) return redirect(url) else: return self.json({"status": "ok"})

41.619565

254

0.630713

471

3,829

5.065817

0.348195

0.036882

0.023051

0.018441

0.228835

0.21207

0.187762

0.121542

0.091366

0

0.006885

0.241316

3,829

91

255

42.076923

0.814458

0.062418

0

0.191176

0

0.16498

0

0.010989

0

1

0.073529

false

0

0.132353

0.014706

0.5

0

null

0

null

0

1

0

1

aaa2a22421918ddfde6678f1b564035567b5ee57

2,073

py

Python

bouncy.py

kary1806/bouncy

afbd8a2e030cd51c0c8b84062ce7aa2b51f549df

[ "MIT" ]

null

bouncy.py

kary1806/bouncy

afbd8a2e030cd51c0c8b84062ce7aa2b51f549df

[ "MIT" ]

null

bouncy.py

kary1806/bouncy

afbd8a2e030cd51c0c8b84062ce7aa2b51f549df

[ "MIT" ]

null

from itertools import count, tee class Bouncy: def __init__(self, porcentage): """ print the number bouncy :type porcentage: int -> this is porcentage of the bouncy """ nums = count(1) rebound = self.sum_number(map(lambda number: float(self.is_rebound(number)), count(1))) bouncy = next( ( number for number, number_b in zip(nums, rebound) if number_b / number == (porcentage / 100) ) ) print(bouncy) def pairs(self, iterable): """ return a list convert map, produces new list :type number: int """ # tee() get iterator independent (default 2) with a input a, b = tee(iterable) # next() return next element in the secuence next(b, None) # zip() return new iterator return zip(a, b) def digits(self, number): """ return a list convert map, produces new list :type number: int """ return list(map(int, str(number))) def increase(self, number): """ return the elements as long as the previous number is less than or equal to the current one :type number: int """ return all(prev <= curr for prev, curr in self.pairs(self.digits(number))) def decrease(self, number): """ return the elements as long as the previous number is greater than or equal to the current one :type number: int """ return all(prev >= curr for prev, curr in self.pairs(self.digits(number))) def is_rebound(self, number): """ return the elements is rebound :type number: int """ return not self.increase(number) and not self.decrease(number) def sum_number(self, iterable): """ return a element sum total :type iterable: list """ total = 0 for element in iterable: total += element yield total test = Bouncy(99)

28.39726

102

0.554752

252

2,073

4.52381

0.305556

0.04386

0.057018

0.066667

0.374561

0.350877

0

0.006726

0.354559

2,073

72

103

28.791667

0.845291

0.315002

0

1

0.225806

false

0

0.032258

0

0.451613

0.032258

0

null

0

null

0

1

0

1

aaa40f7d32c94661f35c79a2fb1ee27a71d6e4e9

909

py

Python

pipeline.py

ankitshah009/BioASQ-Rabbit

1d3073fbcdebb58b91788b6c2ab0ad9380cb2498

[ "Apache-2.0" ]

1

2019-01-29T13:37:45.000Z

pipeline.py

ankitshah009/BioASQ-Rabbit

1d3073fbcdebb58b91788b6c2ab0ad9380cb2498

[ "Apache-2.0" ]

1

2018-08-27T21:02:24.000Z

pipeline.py

ankitshah009/BioASQ-Rabbit

1d3073fbcdebb58b91788b6c2ab0ad9380cb2498

[ "Apache-2.0" ]

8

2018-03-26T17:36:39.000Z

2019-02-28T14:23:25.000Z

#!/usr/bin/env python import sys from deiis.rabbit import Message, MessageBus from deiis.model import Serializer, DataSet, Question if __name__ == '__main__': if len(sys.argv) == 1: print 'Usage: python pipeline.py <data.json>' exit(1) # filename = 'data/training.json' filename = sys.argv[1] print 'Processing ' + filename fp = open(filename, 'r') dataset = Serializer.parse(fp, DataSet) fp.close() # The list of services to send the questions to. pipeline = ['mmr.core', 'tiler.concat', 'results'] count=0 bus = MessageBus() for index in range(0,10): question = dataset.questions[index] # for question in dataset.questions: message = Message(body=question, route=pipeline) bus.publish('expand.none', message) count = count + 1 print 'Sent {} questions for ranking.'.format(count) print 'Done.'

28.40625

56

0.641364

115

909

5

0.565217

0.031304

0.027826

0.045217

0

0.011494

0.234323

909

31

57

29.322581

0.814655

0.147415

0

0.168612

0

null

0

0.136364

null

0.181818

0

null

0

null

0

1

0

1

aaa6b62d2482defbe3a9a248af3f048c7de3d0b9

310

py

Python

other tests/test_6_create_record_label.py

pavelwearevolt/Cross_Edit_TestsAutomatization

953691244d86c5832fe2a2705841711939a353a5

[ "Apache-2.0" ]

null

other tests/test_6_create_record_label.py

pavelwearevolt/Cross_Edit_TestsAutomatization

953691244d86c5832fe2a2705841711939a353a5

[ "Apache-2.0" ]

null

other tests/test_6_create_record_label.py

pavelwearevolt/Cross_Edit_TestsAutomatization

953691244d86c5832fe2a2705841711939a353a5

[ "Apache-2.0" ]

null

__author__ = 'pavelkosicin' from model.label import Label def test_create_record_label(app): app.label.create_recording_artist(Label(name="rl_#1", asap="WB86-8RH31.50UTS-J", note="Mens autem qui est in festinabat non facere bonum, voluntas in malo reperit."))

38.75

129

0.664516

41

310

4.780488

0.829268

0

0.033898

0.23871

310

7

130

44.285714

0.79661

0

0.358065

0

1

0.2

false

0

0.2

0

0.4

0

null

0

1

0

null

0

1

aaadabaa6eb1195381301ba6975765da7236103f

1,114

py

Python

src/users/models/componentsschemasmicrosoft_graph_workbooktablesortallof1.py

peombwa/Sample-Graph-Python-Client

3396f531fbe6bb40a740767c4e31aee95a3b932e

[ "MIT" ]

null

src/users/models/componentsschemasmicrosoft_graph_workbooktablesortallof1.py

peombwa/Sample-Graph-Python-Client

3396f531fbe6bb40a740767c4e31aee95a3b932e

[ "MIT" ]

null

src/users/models/componentsschemasmicrosoft_graph_workbooktablesortallof1.py

peombwa/Sample-Graph-Python-Client

3396f531fbe6bb40a740767c4e31aee95a3b932e

[ "MIT" ]

null

# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.serialization import Model class ComponentsschemasmicrosoftGraphWorkbooktablesortallof1(Model): """workbookTableSort. :param fields: :type fields: list[~users.models.MicrosoftgraphworkbookSortField] :param match_case: :type match_case: bool :param method: :type method: str """ _attribute_map = { 'fields': {'key': 'fields', 'type': '[MicrosoftgraphworkbookSortField]'}, 'match_case': {'key': 'matchCase', 'type': 'bool'}, 'method': {'key': 'method', 'type': 'str'}, } def __init__(self, fields=None, match_case=None, method=None): super(ComponentsschemasmicrosoftGraphWorkbooktablesortallof1, self).__init__() self.fields = fields self.match_case = match_case self.method = method

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0.333333

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null

0

1

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null

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1

aab07d8e601e02e0aaa27e2764b313638874d9dd

591

py

Python

24/03/0.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

null

24/03/0.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

39

2017-07-31T22:54:01.000Z

2017-08-31T00:19:03.000Z

24/03/0.py

pylangstudy/201708

126b1af96a1d1f57522d5a1d435b58597bea2e57

[ "CC0-1.0" ]

null

#!python3.6 import difflib from pprint import pprint import sys text1 = ''' 1. Beautiful is better than ugly. 2. Explicit is better than implicit. 3. Simple is better than complex. 4. Complex is better than complicated. '''.splitlines(keepends=True) text2 = ''' 1. Beautiful is better than ugly. 3. Simple is better than complex. 4. Complicated is better than complex. 5. Flat is better than nested. '''.splitlines(keepends=True) d = difflib.Differ(); result = list(d.compare(text1, text2)) print('-----') pprint(result) print('-----') print(sys.stdout.writelines(result))

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591

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0.263158

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null

0

1

0

null

0

1

aab254d87e54d35e023480f5b36f3f53979b98fb

8,635

py

Python

signalworks/tracking/multitrack.py

lxkain/tracking

00ed9a0b31c4880687a42df3bf9651e68e0c4360

[ "MIT" ]

2

2019-04-09T17:28:34.000Z

2019-06-05T10:05:11.000Z

signalworks/tracking/multitrack.py

lxkain/tracking

00ed9a0b31c4880687a42df3bf9651e68e0c4360

[ "MIT" ]

11

2019-04-19T23:03:38.000Z

2019-11-22T17:59:07.000Z

signalworks/tracking/multitrack.py

lxkain/tracking

00ed9a0b31c4880687a42df3bf9651e68e0c4360

[ "MIT" ]

3

2019-05-01T16:02:32.000Z

2019-06-25T18:05:39.000Z

import copy import json import os from collections import UserDict from signalworks.tracking import Event, Partition, TimeValue, Value, Wave class MultiTrack(UserDict): """ A dictionary containing time-synchronous tracks of equal duration and fs """ def __init__(self, mapping=None): if mapping is None: mapping = UserDict() UserDict.__init__(self, mapping) if __debug__: # long assert - TODO: do this on mapping, and then assign self.check() def check(self): if len(self) > 1: for i, (key, track) in enumerate(self.items()): if track.fs != self.fs: raise AssertionError( f"all fs' must be equal, track #{i} ('{key}) does not match track #1" ) if track.duration != next(iter(self.values())).duration: raise AssertionError( f"all durations must be equal, track #{i} ('{key}'') does not match track #1" ) def get_fs(self): if len(self): return next(iter(self.values())).fs else: return 0 # or raise? def set_fs(self, fs): raise Exception("Cannot change fs, try resample()") fs = property(get_fs, set_fs, doc="sampling frequency") def get_duration(self): if len(self): if __debug__: # long assert - TODO: do this on mapping, and then assign self.check() return next(iter(self.values())).duration else: return 0 def set_duration(self, duration): raise Exception("The duration cannot be set, it is derived from its conents") duration = property( get_duration, set_duration, doc="duration, as defined by its content" ) def __eq__(self, other): # excluding wav from comparison as long as wav writing/reading is erroneous if (set(self.keys()) - {"wav"}) != (set(other.keys()) - {"wav"}): return False for k in self.keys(): if k != "wav" and self[k] != other[k]: return False return True def __ne__(self, other): return not self.__eq__(other) def __setitem__(self, key, value): if len(self): if value.duration != self.duration: raise AssertionError("duration does not match") if value.fs != self.fs: raise AssertionError("fs does not match") UserDict.__setitem__(self, key, value) def __str__(self): s = "" for key, track in self.items(): s += "%s: %s\n" % (key, track) return s def __add__(self, other): if self is other: other = copy.deepcopy(other) obj = type(self)() for k in self: # .iterkeys(): obj[k] = self[k] + other[k] return obj def resample(self, fs): multiTrack = type(self)() for key, track in self.items(): multiTrack[key] = track.resample(fs) return multiTrack def crossfade(self, other, length): """ append multiTrack to self, using a crossfade of a specified length in samples """ assert type(self) == type(other) assert self.keys() == other.keys() assert self.fs == other.fs assert isinstance(length, int) assert length > 0 assert other.duration >= length assert self.duration >= length multiTrack = type(self)() for key, _ in self.items(): multiTrack[key] = self[key].crossfade(other[key], length) return multiTrack def select(self, a, b, keys=None): assert a >= 0 assert a < b # or a <= b? assert b <= self.duration """return a new multitrack object with all track views from time a to b""" if keys is None: keys = self.keys() multiTrack = type(self)() for key in keys: multiTrack[key] = self[key].select(a, b) return multiTrack # TODO: should this be deprecated in favor of / should this call - the more general time_warp function? def scale_duration(self, factor): if factor != 1: for t in self.values(): if isinstance(t, Partition): t.time *= ( factor ) # last time parameter IS duration, so no worries about duration elif isinstance(t, TimeValue) or isinstance(t, Event): if factor > 1: # make room for expanded times t.duration = int(t.duration * factor) t.time *= factor else: t.time *= factor t.duration = int(t.duration * factor) else: raise NotImplementedError # wave? def time_warp(self, x, y): """in-place""" for track in iter(self.values()): track.time_warp(x, y) default_suffix = ".mtt" @classmethod def read(cls, name): """Loads info about stored tracks from name, adding extension if missing, and loads tracks by calling read(<name without extension>) for them. """ name_wo_ext = os.path.splitext(name)[ 0 ] # TODO: upgrade all path stuff to pathlib if name == name_wo_ext: name += cls.default_suffix with open(name, "rb") as mtt_file: track_infos = json.load(mtt_file) self = cls() for track_type_name, track_info_list in track_infos: track_type = globals()[track_type_name] track_info: UserDict = UserDict(track_info_list) track = track_type.read(name_wo_ext, **track_info) self[track_info["track_name"]] = track return self @classmethod def read_edf(cls, path): raise NotImplementedError # TODO: adapt # the following is copied from elsewhere and won't work as is import pyedflib with pyedflib.EdfReader(str(path)) as f: labels = f.getSignalLabels() for label in labels: index = labels.index(label) wav = Wave(f.readSignal(index), f.getSampleFrequency(index)) wav.label = label wav.path = f.with_name(f.stem + "-" + label + ".wav") wav.min = f.getPhysicalMinimum(index) wav.max = f.getPhysicalMaximum(index) wav.unit = f.getPhysicalDimension(index) # self.add_view(wav, panel_index=panel_index, y_min=wav.min, y_max=wav.max) @classmethod def read_xdf(cls, path): raise NotImplementedError import openxdf # TODO: below is a place holder and needs to be finalize xdf = openxdf.OpenXDF(path) signals = openxdf.Signal(xdf, path.with_suffix(".nkamp")) # TODO: automate this, why are the xdf.header names different from signals.list_channels? for label in ["ECG", "Chin"]: # logger.info(f'reading {label} channel') sig = signals.read_file(label)[label] wav = Wave(sig.ravel(), 200) wav.label = label # wav.path = file.with_name(file.stem + '-' + label + '.wav') wav.min = -3200 wav.max = 3200 wav.unit = "1" # self.add_view(wav, panel_index=panel_index, y_min=wav.min, y_max=wav.max) def write(self, name): """Saves info about stored tracks to name, adding extension if missing, and calls write(<name without extension>) for the contained tracks. Note!: not saving wav as long as wav writing/reading is erroneous """ name_wo_ext = os.path.splitext(name)[0] if name == name_wo_ext: name += self.default_suffix track_infos = [] # list of dicts storing track info for track_name, track in sorted(self.items()): if track_name == "wav": continue track_info = { "track_name": track_name, "fs": int(track.get_fs()), "duration": int(track.get_duration()), } if type(track) == Value: track_info.update({"value_type": type(track.get_value()).__name__}) track.write(name_wo_ext, **track_info) track_infos.append((type(track).__name__, sorted(track_info.items()))) with open(name, "wt") as mtt_file: json.dump(track_infos, mtt_file)

36.901709

107

0.555067

1,047

8,635

4.451767

0.233047

0.019309

0.011586

0.008367

0.236645

0.145462

0.091826

0.064364

0

0.004046

0.341633

8,635

233

108

37.060086

0.815831

0.168848

0

0.216667

0

0.058672

0

0.012876

0.077778

1

0.111111

false

0

0.038889

0.005556

0.25

0

null

0

null

0

1

0

1

aab57c61fdbffbd48b08ceac3432b1c6895bbeba

1,027

py

Python

python/solutii/ingrid_stoleru/Cursor.py

broascaiulian/labs

068c7f440c7a29cb6a3e1dbb8e4bb7dfaff5a050

[ "MIT" ]

null

python/solutii/ingrid_stoleru/Cursor.py

broascaiulian/labs

068c7f440c7a29cb6a3e1dbb8e4bb7dfaff5a050

[ "MIT" ]

null

python/solutii/ingrid_stoleru/Cursor.py

broascaiulian/labs

068c7f440c7a29cb6a3e1dbb8e4bb7dfaff5a050

[ "MIT" ]

null

#!/usr/bin/env python # *-* coding: UTF-8 *-* """Solutia problemei Cursor""" DIRECTIONS = {" stanga ": [-1, 0], " dreapta ": [1, 0], " jos ": [0, -1], " sus ": [0, 1]} def distanta(string, pozitie): """Determinarea distantei""" directie, valoare = string.split() directie = directie.lower() if directie in DIRECTIONS: directie = DIRECTIONS[directie] pozitie[0] = pozitie[0]+directie[0]*int(valoare) pozitie[1] = pozitie[1]+directie[1]*int(valoare) def main(): """Apelarea functiei""" try: fisier = open("Cursor_Date", "r") mesaje = fisier.read() fisier.close() except IOError: print "Nu am putut obține coordonatele." return pozitie = [0, 0] for linie in mesaje.splitlines(): if linie: distanta(linie, pozitie) print pozitie rezultat = (pozitie[0]**2 + pozitie[1]**2) ** 0.5 print rezultat if __name__ == "__main__": main()

26.333333

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0.542356

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1,027

4.849558

0.504425

0.058394

0

0.032078

0.30185

1,027

38

58

27.026316

0.732218

0.040896

0

0.091435

0

null

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null

0.115385

0

null

0

null

0

1

0

1

aab5dd1420b09051fc9fe578384a7add1adbe417

1,932

py

Python

hoods/models.py

badruu/neighborhood

85d30f7451f921c533dc4463aad76ed2d39f8023

[ "MIT" ]

null

hoods/models.py

badruu/neighborhood

85d30f7451f921c533dc4463aad76ed2d39f8023

[ "MIT" ]

6

2021-03-19T01:10:18.000Z

2022-03-11T23:49:18.000Z

hoods/models.py

badruu/neighborhood

85d30f7451f921c533dc4463aad76ed2d39f8023

[ "MIT" ]

null

from django.db import models import datetime from django.utils import timezone from django.contrib.auth.models import User from django.urls import reverse from django.core.validators import MaxValueValidator, MinValueValidator class Hoods(models.Model): name = models.CharField(max_length = 100) location = models.CharField(max_length = 100) image = models.ImageField(upload_to = 'images/', default = 'default.jpg') description = models.TextField(max_length = 300, default = 'No description') population = models.IntegerField(default = '0') admin = models.ForeignKey(User, on_delete = models.CASCADE) timestamp = models.DateTimeField(default=timezone.now) def __str__(self): return self.name def create_hood(self): self.save() def delete_hood(self): self.delete() def find_neighbourhood(hoods_id): neighbourhood = Hoods.objects.get(id = hoods_id) return neighbourhood def update_hood(self, item, value): self.update(item = value) def update_occupants(self, value): self.update(population = value) class Business(models.Model): name = models.CharField(max_length = 100) user = models.ForeignKey(User, on_delete = models.CASCADE) hood_id = models.ForeignKey(Hoods, on_delete = models.CASCADE) email_address = models.EmailField(max_length=254) timestamp = models.DateTimeField(default=timezone.now) def __str__(self): return self.name def create_business(self): self.save() def delete_business(self): self.delete() def find_business(business_id): business = Business.objects.get(id = business_id) return business def update_business(self, item, value): self.update(item = value) @classmethod def search_business(cls, name): businesses = cls.objects.filter(name__icontains=name).all() return businesses

31.16129

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0.699793

233

1,932

5.652361

0.32618

0.037965

0.041002

0.05467

0.378891

0.294609

0.183751

0.11997

0

0.010383

0.202381

1,932

62

81

31.16129

0.844257

0

0.291667

0

0.017072

0

1

0.25

false

0

0.125

0.041667

0.770833

0

null

0

null

0

1

0

1

aab991f211f7427de19a3a6c9a2b406d03220528

3,887

py

Python

plugin.video.mrstealth.serialu.net/uppod.py

mrstealth/kodi-isengard

2f37ba5320c1618fbe635f5683e7329a63195c16

[ "MIT" ]

null

plugin.video.mrstealth.serialu.net/uppod.py

mrstealth/kodi-isengard

2f37ba5320c1618fbe635f5683e7329a63195c16

[ "MIT" ]

null

plugin.video.mrstealth.serialu.net/uppod.py

mrstealth/kodi-isengard

2f37ba5320c1618fbe635f5683e7329a63195c16

[ "MIT" ]

null

#------------------------------------------------------------------------------- # Uppod decoder #------------------------------------------------------------------------------- import urllib2 import cookielib def decode(param): try: #-- define variables loc_3 = [0,0,0,0] loc_4 = [0,0,0] loc_2 = '' #-- define hash parameters for decoding dec = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=' hash1 = ["0", "5", "u", "w", "6", "n", "H", "o", "B", "p", "N", "M", "D", "R", "z", "G", "V", "e", "i", "3", "m", "W", "U", "7", "g", "="] hash2 = ["c", "T", "I", "4", "Q", "Z", "v", "Y", "y", "X", "k", "b", "8", "a", "J", "d", "1", "x", "L", "t", "l", "2", "f", "s", "9", "h"] #-- decode for i in range(0, len(hash1)): re1 = hash1[i] re2 = hash2[i] param = param.replace(re1, '___') param = param.replace(re2, re1) param = param.replace('___', re2) i = 0 while i < len(param): j = 0 while j < 4 and i+j < len(param): loc_3[j] = dec.find(param[i+j]) j = j + 1 loc_4[0] = (loc_3[0] << 2) + ((loc_3[1] & 48) >> 4); loc_4[1] = ((loc_3[1] & 15) << 4) + ((loc_3[2] & 60) >> 2); loc_4[2] = ((loc_3[2] & 3) << 6) + loc_3[3]; j = 0 while j < 3: if loc_3[j + 1] == 64 or loc_4[j] == 0: break loc_2 += unichr(loc_4[j]) j = j + 1 i = i + 4; except: loc_2 = '' return loc_2 def decodeSourceURL(uhash): print "*** Got uppod uhash: %s" % uhash return decode(uhash) def getDecodedHashFromSourceURL(url, referer): print "*** Decoded source URL: %s" % url # NOTE: set cookie cj = cookielib.MozillaCookieJar() opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj)) urllib2.install_opener(opener) # Accept text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8 # Accept-Encoding gzip, deflate # Accept-Language de-de,de;q=0.8,en-us;q=0.5,en;q=0.3 # Connection keep-alive # Cookie SERIALU=cd640e59142f39cc54ed65461dd60e10; MarketGidStorage=%7B%220%22%3A%7B%22svspr%22%3A%22%22%2C%22svsds%22%3A3%2C%22TejndEEDj%22%3A%22MTM4MDU1NzM0NTY2NTQ0OTk0NTMz%22%7D%2C%22C44994%22%3A%7B%22page%22%3A3%2C%22time%22%3A1380557356398%7D%7D; amcu_n=2; advmaker_pop=1 # DNT 1 # Host serialu.net # Referer http://serialu.net/media/stil-nov/uppod.swf # User-Agent Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:24.0) Gecko/20100101 Firefox/24.0 request = urllib2.Request(url, None) request.add_header('Accept', 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8') request.add_header('Accept-Encoding', 'gzip, deflate') request.add_header('Accept-Language', 'de-de,de;q=0.8,en-us;q=0.5,en;q=0.3') request.add_header('Connection', 'keep-alive') # request.add_header('Cookie', 'SERIALU=cd640e59142f39cc54ed65461dd60e10; MarketGidStorage=%7B%220%22%3A%7B%22svspr%22%3A%22%22%2C%22svsds%22%3A3%2C%22TejndEEDj%22%3A%22MTM4MDU1NzM0NTY2NTQ0OTk0NTMz%22%7D%2C%22C44994%22%3A%7B%22page%22%3A3%2C%22time%22%3A1380557356398%7D%7D; amcu_n=2; advmaker_pop=1') request.add_header('DNT', 1) request.add_header('Host', 'serialu.net') request.add_header('Referer', 'http://serialu.net/media/stil-nov/uppod.swf') request.add_header('User-Agent', 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.7; rv:24.0) Gecko/20100101 Firefox/24.0') return urllib2.urlopen(request).read()

44.170455

306

0.516337

521

3,887

3.777351

0.303263

0.010163

0.073171

0.033537

0.454268

0.430894

0.389228

0

0.128088

0.270903

3,887

87

307

44.678161

0.565984

0.303576

0

0.113208

0

0.056604

0.191391

0.062644

0

null

0

0.037736

null

0.037736

0

null

0

null

0

1

0

1

aabc2c45a2f070f9b91c1f8410ef7d7691faf98d

183

py

Python

localtalk/application.py

mattcollie/LocalTalk

d17765243cd23d09024544a763a18226be16c50c

[ "MIT" ]

null

localtalk/application.py

mattcollie/LocalTalk

d17765243cd23d09024544a763a18226be16c50c

[ "MIT" ]

null

localtalk/application.py

mattcollie/LocalTalk

d17765243cd23d09024544a763a18226be16c50c

[ "MIT" ]

null

from localtalk import create_app, create_server app = create_app() server = create_server() # server.start() if __name__ == '__main__': app.run(debug=True, host='localhost')

15.25

47

0.715847

24

183

4.958333

0.625

0.151261

0

0.153005

183

11

48

16.636364

0.767742

0.076503

0

0.10241

0

1

0

false

0

0.2

0

0.2

0

1

0

null

0

null

0

1

aabdff6b46e83b814599086ebf3ca4b5caeb3757

2,070

py

Python

biokeypy/moduleForShowingJudges.py

zacandcheese/biokeypy

d421e8be0b407fd1df395c79ffde409ca80066e2

[ "MIT" ]

null

biokeypy/moduleForShowingJudges.py

zacandcheese/biokeypy

d421e8be0b407fd1df395c79ffde409ca80066e2

[ "MIT" ]

null

biokeypy/moduleForShowingJudges.py

zacandcheese/biokeypy

d421e8be0b407fd1df395c79ffde409ca80066e2

[ "MIT" ]

null

#moduleForShowingJudges #cmd /K "$(FULL_CURRENT_PATH)" #cd ~/Documents/GitHub/Keyboard-Biometric-Project/Project_Tuples #sudo python -m pip install statistics #python analyzeData.py """ Author: Zachary Nowak and Matthew Nowak Date: 3/09/2018 Program Description: This code can record the Press Time and Flight Time of a tuple as a user types a passage and it saves a matrix to a file. """ __version__ = '1.0' __author__ = 'Zachary Nowak' """STANDARD LIBRARY IMPORTS""" import json import platform import os """LOCAL LIBRARY IMPORTS""" import moduleForSavingTimelines as ST import moduleForRecordingWithGUI as GUI import moduleForCreatingPasswordSentence as PS import moduleForDeconstructingTimelines as DT import moduleForAuthenticatingUsers as AU import moduleForFindingTuples as FT import moduleForGettingSentence as GS import moduleForPlotting as P """FOLDER IMPORTS""" infile = "data/451.txt"# passage for training people. #tupleList = FT.allPeople() tupleList = ["his", "the","ing"] location = "" if(platform.system() == "Windows"):#WINDOWS name = input("What is your name: ") while(not(location in ["y","n","z","c"])): location = input("Is this training data?(y/n) ") if(location == "n"): location = "Applying/" passage = ("The thing likes learning his history.There the thing sings.This is what the thing sings.").split(".") elif(location == "z"): os.chdir("judgeslib") P.plot(tupleList) elif(location == "c"): os.chdir("judgeslib") DT.clearAll() else: location = "Database/" passages = open(infile,"r").read().split(".") passage2 = passages[1].split(",") passage = passages + passage2 passage.remove(passages[1]) """TYPE THE PASSAGE AND RECORD THE TIME LINE""" pressTimeLine,pressCharTimeLine,releaseTimeLine,releaseCharTimeLine = GUI.start_recording(passage) os.chdir("judgeslib/") ST.saveTimeLine(pressTimeLine,pressCharTimeLine,name,location) DT.userSummary(name,location) if(location == "Applying/"): #AU.newData(tupleList) print("Now to verify") AU.verify(tupleList,name) #IMPLIMENT MATPLOTLIB #IMPLIMENT CLEAR FEATURE

27.236842

114

0.746377

265

2,070

5.784906

0.550943

0.015656

0.031311

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27.236842

0.836273

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0.166667

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0.02381

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null

0

null

0

1

0

1

aad089a6f4a448fc23d035f432e9858d598d7704

1,982

py

Python

user/forms.py

apuc/django-rest-framework

863f2dcca5f2a677ac0e477fc704cc54cd9a53f8

[ "MIT" ]

null

user/forms.py

apuc/django-rest-framework

863f2dcca5f2a677ac0e477fc704cc54cd9a53f8

[ "MIT" ]

6

2021-03-30T14:08:14.000Z

2021-09-08T02:21:23.000Z

user/forms.py

apuc/django-rest-framework

863f2dcca5f2a677ac0e477fc704cc54cd9a53f8

[ "MIT" ]

null

from crispy_forms import layout from crispy_forms.helper import FormHelper from django.conf import settings from django.contrib.auth.forms import UserCreationForm from django.urls import reverse_lazy from django import forms from .models import UserProfile class RegisterForm(UserCreationForm): username = forms.CharField(label='Username', max_length=45) email = forms.EmailField(label='Email') password1 = forms.CharField( min_length=settings.MIN_PASSWORD_LENGTH, label='Password', strip=False, help_text=f'Enter {settings.MIN_PASSWORD_LENGTH} digits and chars', widget=forms.PasswordInput() ) password2 = forms.CharField( min_length=settings.MIN_PASSWORD_LENGTH, label='Repeat the password', strip=False, widget=forms.PasswordInput() ) photo = forms.ImageField(required=False) class Meta: model = UserProfile fields = ( 'username', 'email', 'password1', 'password2', 'photo' ) def crispy_init(self): """Initialize crispy-forms helper.""" self.helper = FormHelper() self.helper.form_id = 'id-RegistrationForm' self.helper.form_class = 'form-group' self.helper.form_method = 'post' self.helper.form_action = reverse_lazy('user:api-register') self.helper.layout = layout.Layout( layout.Field('username'), layout.Field('email'), layout.Field('password1'), layout.Field('password2'), layout.Field('photo'), layout.Div( layout.Submit( 'submit', 'Register', css_class='btn-success my-2 px-4' ), css_class='text-center' ) ) def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.crispy_init()

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0.592331

200

1,982

5.72

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0.00722

0.301211

1,982

64

76

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0.818773

0.015641

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0.13419

0.015424

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0.035088

false

0.22807

0.122807

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0.280702

0

null

0

null

0

1

0

1

aad22ce0ae134c7841d5d6eb61bc2075cbcc5f71

3,187

py

Python

wadi.py

sensepost/wadi

7d29ee53d63425029c653fb7c20b4ff4c15f289b

[ "CC0-1.0" ]

137

2015-10-23T14:58:42.000Z

2021-11-18T09:59:16.000Z

wadi.py

sensepost/wadi

7d29ee53d63425029c653fb7c20b4ff4c15f289b

[ "CC0-1.0" ]

11

2015-10-31T06:51:50.000Z

2022-02-20T20:22:04.000Z

wadi.py

sensepost/wadi

7d29ee53d63425029c653fb7c20b4ff4c15f289b

[ "CC0-1.0" ]

62

2015-10-23T14:58:49.000Z

2021-11-18T09:18:13.000Z

import sys import os from multiprocessing import Process, Queue, Manager from threading import Timer from wadi_harness import Harness from wadi_debug_win import Debugger import time import hashlib def test(msg): while True: print 'Process 2:' + msg #print msg def test2(): print 'Process 1' time.sleep(2) while True: print 'Process 1' def run_harness(t): harness = Harness(sys.argv[1],sys.argv[2],t) harness.run() def run_debugger(q): debugger = Debugger(q) debugger.run_Browser('IE') def timeout_debug(dp): print '[*] Terminating Debugger Process PID: %d' % dp.pid dp.terminate() class wadi(): def __init__(self, args=None): if args: self.args = args else: pass def writeTestCases(self,tcases,msg): self.msg = msg[0] self.code = msg[1] self.add = msg[2] self.testcases = tcases self.hash = hashlib.md5() self.b = self.code+self.add self.hash.update(self.b) self.dgst = self.hash.hexdigest() self.path = "./"+self.dgst if os.path.exists(self.path): print "[*] Duplicate Crash: %s" % self.dgst else: os.makedirs(self.path) f = open(self.path + "/" +self.dgst+".crash","w+b") f.write(self.msg) f.close() print "[*] Written Crash file to: %s" % self.dgst+".crash" for i in range(10): self.tcase = self.testcases.pop() f2 = open(self.path+"/"+self.dgst+"_"+str(i)+".html","w+b") f2.write(self.tcase) f2.close() print "[*] Written testcases to %s" % self.path+"/"+self.dgst+str(i)+".html" print "[*] Last TestCase Folder '%s'" % self.dgst def close(self): sys.exit() def run(self): self.queue = Manager().list() self.tcases = Manager().list() self.server_pid = None self.debugger_pid = None self.init = 0 while True: if not self.server_pid: self.server_process = Process(target=run_harness, args=(self.tcases,)) self.server_process.start() self.server_pid = self.server_process.pid print '[*] Running Server Process %s ' % (self.server_pid,) #self.server_pid = if not self.debugger_pid: self.debugger_process = Process(target=run_debugger,args=(self.queue,)) self.debugger_process.start() self.debugger_pid = self.debugger_process.pid timer = Timer(120.0,timeout_debug,(self.debugger_process,)) timer.daemon = True timer.start() if not self.debugger_process.is_alive(): print "[*] Debugger Process %s exited" % self.debugger_pid timer.cancel() self.lenq = len(self.queue) self.lentc = len(self.tcases) if self.lenq: self.msg = self.queue.pop() #self.msg = self.queue.get() print "[*] Wooops Crash !!!!" print "[*] %s" % self.msg[0] else: print "[*] No Crashes" #if not self.tcases.empty(): if self.lentc and self.lenq: #self.tc = self.tcases.get() self.writeTestCases(self.tcases, self.msg) else: print "[*] No TestCases" self.debugger_pid = None else: pass if __name__ == '__main__': #try: w = wadi() w.run() #except: # w.close()

24.898438

81

0.612488

439

3,187

4.350797

0.257403

0.062827

0.034031

0.033508

0.116754

0.092147

0.025131

0

0.00908

0.239724

3,187

127

82

25.094488

0.779199

0.040477

0

0.142857

0

0.115371

0

null

0.020408

0.081633

null

0.142857

0

null

0

null

0

1

0

1

aad37494decad9fd0ad1fb72dcfce3587fe45cdf

1,033

py

Python

rick_and_morty_app/views.py

esalcedo94/final_project

7dce4fae8248d820698220d3289bfb49bd96b2cd

[ "MIT" ]

null

rick_and_morty_app/views.py

esalcedo94/final_project

7dce4fae8248d820698220d3289bfb49bd96b2cd

[ "MIT" ]

4

2021-03-19T01:50:05.000Z

2021-09-22T18:52:13.000Z

rick_and_morty_app/views.py

esalcedo94/final_project

7dce4fae8248d820698220d3289bfb49bd96b2cd

[ "MIT" ]

null

# from django.shortcuts import render, redirect, get_object_or_404 from .forms import CharacterForm from rick_and_morty_app.models import Character from django.views.generic import ListView, CreateView, UpdateView, DetailView, DeleteView from django.urls import reverse_lazy # new # Create your views here. class HomePageView(ListView): model = Character template_name = 'character_list.html' class CreateCharacterView(CreateView): model = Character form_class = CharacterForm template_name = 'character_form.html' success_url = reverse_lazy('character_list') class CharacterDetailView(DetailView): model = Character template_name = 'character_details.html' class CharacterUpdate(UpdateView): model = Character fields = ['name', 'lastEpisode'] template_name = 'character_update.html' success_url = reverse_lazy('character_list') class DeleteCharacter(DeleteView): model = Character template_name = 'character_delete.html' success_url = reverse_lazy('character_list')

31.30303

89

0.771539

117

1,033

6.581197

0.435897

0.090909

0.136364

0.101299

0.297403

0.161039

0.111688

0

0.003421

0.151016

1,033

32

90

32.28125

0.874572

0.089061

0

0.333333

0

0.169691

0.068303

0

1

0

false

0

0.166667

0

1

0

null

0

null

0

1

0

1

aad397b94b0cb0be8ca7c28476744dda7ab4e655

339

py

Python

samples/contacts/pathUtils.py

Trevol/Mask_RCNN

18308082e2c5fd5b4df5d6e40f009b3ebd66c26d

[ "MIT" ]

null

samples/contacts/pathUtils.py

Trevol/Mask_RCNN

18308082e2c5fd5b4df5d6e40f009b3ebd66c26d

[ "MIT" ]

null

samples/contacts/pathUtils.py

Trevol/Mask_RCNN

18308082e2c5fd5b4df5d6e40f009b3ebd66c26d

[ "MIT" ]

null

import os, sys def mrcnnPath(): filePath = os.path.dirname(os.path.realpath(__file__)) return os.path.abspath(os.path.join(filePath, os.pardir, os.pardir)) def currentFilePath(file=None): file = file if file else __file__ return os.path.dirname(os.path.realpath(file)) def mrcnnToPath(): sys.path.append(mrcnnPath())

28.25

72

0.719764

49

339

4.816327

0.408163

0.152542

0.110169

0.127119

0.262712

0

0.141593

339

12

73

28.25

0.810997

0

1

0.333333

false

0

0.111111

0

0.666667

0

null

0

null

0

1

0

1

aadc6caacc7ccc064997d62040d5601470ca380f

1,656

py

Python

remove_svn_folder.py

sdenisen/test

709bcdd16d0f83f03b04e0bc7918bb3785993c59

[ "Unlicense" ]

null

remove_svn_folder.py

sdenisen/test

709bcdd16d0f83f03b04e0bc7918bb3785993c59

[ "Unlicense" ]

2

2017-08-24T18:55:37.000Z

2017-08-24T18:59:06.000Z

remove_svn_folder.py

sdenisen/test

709bcdd16d0f83f03b04e0bc7918bb3785993c59

[ "Unlicense" ]

null

__author__ = 'Sergey' import shutil import os import stat def read_all_directory_path(root_folder, final_directory_list=[], folder_for_remove='.svn'): under_files_and_folders = os.listdir(root_folder) if os.path.split(root_folder)[1] == folder_for_remove: final_directory_list.append(root_folder) return final_directory_list if len(under_files_and_folders) == 0: final_directory_list.append(root_folder) return final_directory_list for dir in under_files_and_folders: sub_path = root_folder + "\\" + dir if os.path.isfile(sub_path): continue read_all_directory_path(sub_path, final_directory_list) def change_file_attributes_in_folder(folder): list_files_and_directories = os.listdir(folder) for item in list_files_and_directories: sub_path = folder + "\\" + item if os.path.isfile(sub_path): os.chmod(sub_path, stat.S_IWRITE) os.unlink(sub_path) else: change_file_attributes_in_folder(sub_path) directory_list = [] root = "D:\\_svn_repo\\trunk" remove_dir = ".svn" # 1 - read all directories recursively and store to a variable list of directory. read_all_directory_path(root, directory_list) # 2 - remove directory from the variable. for directory in directory_list: if os.path.split(directory)[1] == remove_dir: try: shutil.rmtree(directory) except WindowsError, e: if "Access is denied" in e.strerror: change_file_attributes_in_folder(directory) shutil.rmtree(directory) else: raise

29.571429

92

0.679348

219

1,656

4.780822

0.305936

0.111748

0.103152

0.057307

0.276982

0.150907

0.110793

0

0.003965

0.238527

1,656

55

93

30.109091

0.826328

0.07186

0

0.25

0

0.035202

0

null

0

0.075

null

0

null

0

null

0

1

0

1

aadfff06b29955168bb01b2fd687e7d85bcf363a

563

py

Python

apps/flow/run.py

rainydaygit/testtcloudserver

8037603efe4502726a4d794fb1fc0a3f3cc80137

[ "MIT" ]

349

2020-08-04T10:21:01.000Z

2022-03-23T08:31:29.000Z

apps/flow/run.py

rainydaygit/testtcloudserver

8037603efe4502726a4d794fb1fc0a3f3cc80137

[ "MIT" ]

2

2021-01-07T06:17:05.000Z

2021-04-01T06:01:30.000Z

apps/flow/run.py

rainydaygit/testtcloudserver

8037603efe4502726a4d794fb1fc0a3f3cc80137

[ "MIT" ]

70

2020-08-24T06:46:14.000Z

2022-03-25T13:23:27.000Z

from apps.flow.settings import config if config.SERVER_ENV != 'dev': from gevent import monkey monkey.patch_all() else: pass from apps.flow.views.deploy import deploy from apps.flow.views.flow import flow from library.api.tFlask import tflask def create_app(): app = tflask(config) register_blueprints(app) return app def register_blueprints(app): app.register_blueprint(flow, url_prefix="/v1/flow") app.register_blueprint(deploy, url_prefix="/v1/deploy") if __name__ == '__main__': create_app().run(port=config.PORT)

20.107143

59

0.730018

80

563

4.9125

0.4375

0.061069

0.091603

0.086514

0

0.004237

0.161634

563

27

60

20.851852

0.82839

0

0.05151

0

1

0.111111

false

0.055556

0.277778

0

0.444444

0.222222

0

null

0

null

0

1

0

1

2a9c29a9ca43c2e78dfd11fb0c0783a70a2f2e37

10,197

py

Python

xyz2image.py

hentr/xyz2image

bee976e0062ee893594e56ead1e75cb5d7a4e8af

[ "MIT" ]

null

xyz2image.py

hentr/xyz2image

bee976e0062ee893594e56ead1e75cb5d7a4e8af

[ "MIT" ]

null

xyz2image.py

hentr/xyz2image

bee976e0062ee893594e56ead1e75cb5d7a4e8af

[ "MIT" ]

null

''' Authors: Trond Henninen(trond.henninen@empa.ch) and Feng Wang This script is for generating normalised Gaussian simulated annular dark-field scanning transmission electron microscopy (ADF-STEM) images from input atomic coordinates. For rapidly generating a large dataset, it approximates a contrast similar to multislice simulated images by convolving a 2D Gaussian with the atomic coordinates. This is a decent approximation for up to 10 overlapping atoms, as the contrast is linearly additive for such thin lattices. Optimized for rapidly generating data with multiprocessing, so can generate millions of images per hour with a desktop processor. Inputs .xyz files and outputs a .tif image and compressed arrays (.npz) for fast save/load data e.g. for machine learning. The input coodinates gets blurred by a 3D gaussian and has the z-dimension flattened to make the 2d image. xyz2image.xyz2image converts just one file, while xyz2image.folder convert all files in the folder. Keep in mind, dimensions of the xyz coordinates, gauss_sigma and padxyz are all in ångström [å]. TODO: implement binary_2d and direct image output TODO: convert binary_radius to [å] instead if pixels TODO: set a parameter for voxsize (e.g. 9 pm), and calculate Variables: 'folder' is the folder path where to look for .xyz files (default: '.' meaning current folder). 'gauss_sigma' is the gaussian gauss_sigma in ångström [å]. (default: 0.4). 'edgesize' is the size in pixels of the output square image and voxel cube (default: 128). 'padxyz' is the minimum padding (in [å]) added around the atomic coordinate array, adjusted to make the box cubic (default: 1.5) 'n_rotation' is the number of randomly rotated images (and 3D representations) that is generated for each xyz (1 means original orientation, while 8000 gives convenient files of 10s of MB) 'n_stacks' number of .npz stacks to be generated for each input file 'output_types' which type of outputs are generated (enable by setting the different options to True) 'bitrate' bitrate of output files (should be 8 or 16) 'binary_radius' radius of atoms in binary_3d/binary_2d [pixels] 'frameshift' and 'maxframes' are for .xyz files with many frames: 'frameshift' is which frame it start reading from (default 0) 'maxframes' is how many consecutive frames is read (default 50) ''' import os, glob import numpy as np from ase.io import read from scipy.ndimage.filters import gaussian_filter from random import uniform import tifffile as tif import multiprocessing from multiprocessing import Pool ######################## PARAMETERS ################################### class Parameters: #use an empty object to store parameters pass P = Parameters() # this object also becomes available to the subprocesses in the pool without being passed to xyz2image() P.output_types = { #set True for which type of output you want 'coordinates_3d':True, #3D coordinates of the rotated cluster 'delta_3d':True, #binary 3D-array with 1 for atom center coordinates and 0 for rest 'delta_2d':False, #binary 2D-array same as the 3D, but Z-coordinate has been collapsed 'gaussian_3d':False, #delta_3d convolved with a 3D gaussian 'gaussian_2d':True, #Simulated image made by delta_2d convolved with a 2D gaussian 'binary_3d':False, #binary 3D-array with 1 for spherical atoms with radius P.binary_radius, and 0 for rest 'binary_2d':False, #NOT YET IMPLEMENTED binary 2D-array same as the 3D, but Z-coordinate has been collapsed 'delta_2d_image':False, #delta_2d is also stored as a .tif stack 'gaussian_2d_image':False, #gaussian_2d is also stored as a .tif stack 'binary_2d_image':False, #NOT YET IMPLEMENTED binary_2d is also stored as a .tif stack } P.folder = r'.' P.output_folder = './npz_stacks' P.bitrate = 8 #output bitrate, 8 or 16 P.gauss_sigma = 0.4 P.edgesize = 80 P.padxyz = 0.3 P.n_rotation = (1024)*8 #number of rotations in one .npz stack, 8k is a good compromise of speed/filesize/memory consumption P.n_stacks = 1 # number of .npz stacks will be generated for each input file P.frameshift = 0 P.maxframes = 50 P.binary_radius = 7 #[pixels] radius of atoms in binary_3d P.xyzfiles = glob.glob('*.xyz') ######################## /PARAMETERS ################################### def load(filename): # for loading numpy compressed ND-arrays (.npz) files return(np.load(filename)) def xyz2image(file): print(file) fname = os.path.splitext(os.path.basename(file))[0] #gets the name of the file without the file extension t = read(file,index=':') t2 = t[min(P.frameshift,len(t)-1):min(P.frameshift+P.maxframes,len(t))] #frameshift and maxframes are for handling if multiple frames in the .xyz file print(file,len(t2)) if not os.path.exists(P.output_folder): #make new folders if they don't exist os.makedirs(P.output_folder) if not os.path.exists(f'{P.output_folder}/{fname}'): os.makedirs(f'{P.output_folder}/{fname}') coordinates_3d_stack, delta_3d_stack, delta_2d_stack, gaussian_3d_stack = [],[],[],[] gaussian_2d_stack, binary_3d_stack, binary_2d_stack = [],[],[] for at in t2: #for handling if multiple frames in the .xyz file del at[at.numbers == 6] #delete carbon atoms for rot in range(P.n_rotation): if rot == 0: # P.n_rotation == 1: #keep the first frame at same viewpoint as the input xyz file at.rotate(90, 'z') else: # random rotation at.euler_rotate(uniform(0,360),uniform(0,360),uniform(0,360)) atoms = at.get_positions() atoms[:,0] -= min(atoms[:,0]); atoms[:,1] -= min(atoms[:,1]); atoms[:,2] -= min(atoms[:,2]) maxx,maxy,maxz = max(atoms[:,0]),max(atoms[:,1]),max(atoms[:,2]) maxxyz = max(maxx,maxy,maxz) padx,pady,padz = (maxxyz-maxx)/2+P.padxyz,(maxxyz-maxy)/2+P.padxyz, (maxxyz-maxz)/2+P.padxyz atoms[:,0] += padx; atoms[:,1] += pady; atoms[:,2] += padz; edgemax = maxxyz+2*P.padxyz voxsize = edgemax/(P.edgesize-1) sigpix = P.gauss_sigma/voxsize #print(file,' - ',len(atoms),at,', voxel size -',voxsize) normatoms = np.round(atoms/edgemax*(P.edgesize-1)) #normalize the coordinate box normatoms = normatoms.astype(int) delta_3d = np.zeros((P.edgesize,P.edgesize,P.edgesize))#,dtype=bool) delta_3d[normatoms[:,0],normatoms[:,1],normatoms[:,2]] = 1 delta_2d = np.zeros((P.edgesize,P.edgesize))#,dtype=bool) delta_2d[normatoms[:,0],normatoms[:,1]] = 1 if P.output_types['coordinates_3d'] == True: coordinates_3d_stack.append(normatoms) if P.output_types['delta_3d'] == True: delta_3d_stack.append(delta_3d) if P.output_types['delta_2d'] == True or P.output_types['delta_2d_image'] == True: delta_2d_stack.append(delta_2d) if P.output_types['gaussian_2d'] == True or P.output_types['gaussian_2d'] == True: gaussian_2d = gaussian_filter(delta_2d, sigpix) gaussian_2d /= np.max(gaussian_2d)/(2**P.bitrate-1) gaussian_2d = gaussian_2d.astype('uint'+str(P.bitrate)) gaussian_2d_stack.append(gaussian_2d) if P.output_types['gaussian_3d'] == True: gaussian_3d = gaussian_filter(delta_3d, sigpix) gaussian_3d /= np.max(gaussian_3d)/(2**P.bitrate-1) gaussian_3d = gaussian_3d.astype('uint'+str(P.bitrate)) gaussian_3d_stack.append(gaussian_3d) if P.output_types['binary_3d'] == True: binary_3d = np.zeros((P.edgesize,P.edgesize,P.edgesize),dtype=bool) for atom in normatoms: y,x,z = np.ogrid[ -atom[0]:P.edgesize-atom[0], -atom[1]:P.edgesize-atom[1], -atom[2]:P.edgesize-atom[2] ] mask = x*x + y*y + z*z <= P.binary_radius**2 binary_3d[mask] = True binary_3d_stack.append(binary_3d) # if P.output_types['binary_2d'] == True or P.output_types['binary_2d_image'] == True: output_stacks = {} if P.output_types['coordinates_3d'] == True: output_stacks['coordinates_3d'] = np.asarray(coordinates_3d_stack) if P.output_types['delta_3d'] == True: output_stacks['delta_3d'] = np.asarray(delta_3d_stack).astype(bool) if P.output_types['delta_2d'] == True: output_stacks['delta_2d']= np.asarray(delta_2d_stack).astype(bool) if P.output_types['gaussian_2d'] == True: output_stacks['gaussian_2d'] = np.asarray(gaussian_2d_stack) if P.output_types['gaussian_3d'] == True: output_stacks['gaussian_3d'] = np.asarray(gaussian_3d_stack) if P.output_types['binary_3d'] == True: output_stacks['binary_3d'] = np.asarray(binary_3d_stack) simulated_files = len( glob.glob(f'{P.output_folder}/{fname}/*' )) file_name = f'{P.output_folder}/{fname}/{str(simulated_files+P.n_rotation*len(t2)).zfill(8)}' if any([P.output_types['delta_3d'],P.output_types['delta_2d'],P.output_types['gaussian_2d'],P.output_types['gaussian_3d'],P.output_types['binary_3d']]): np.savez_compressed(file_name+'.npz',**output_stacks) #these files can be loaded with np.load if P.output_types['delta_2d_image'] == True: tif.imsave(file_name+'delta_2d.tif',np.invert(np.asarray(delta_2d_stack).astype(bool))) if P.output_types['gaussian_2d_image'] == True: tif.imsave(file_name+'gaussian_2d.tif',np.asarray(gaussian_2d_stack)) #if P.output_types['binary_2d_image'] == True: def folder_parallellized(P): #runs all the .xyz files in the folder, parallelized with one file per thread os.chdir(P.folder) threads = multiprocessing.cpu_count() with Pool(threads) as p: p.map(xyz2image, P.xyzfiles) if __name__ == '__main__': for i in range(0,P.n_stacks): folder_parallellized(P) #to load .npz files: #npz = (load(file_name+'.npz')) #print(npz.files,np.shape(npz['delta_3d']),np.shape(npz['gaussian_2d']))

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null

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null

0

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1

2a9f331439bd99a892c7c6363b31983af66fb320

3,949

py

Python

tensorflow/python/debug/lib/debug_events_reader.py

scentini/tensorflow

204ed332c0886a0e0ab10b22ba8d67b97e1c83c4

[ "Apache-2.0" ]

27

2020-02-29T04:13:22.000Z

2022-02-07T21:54:50.000Z

tensorflow/python/debug/lib/debug_events_reader.py

scentini/tensorflow

204ed332c0886a0e0ab10b22ba8d67b97e1c83c4

[ "Apache-2.0" ]

5

2020-06-01T18:50:38.000Z

2021-07-16T07:13:52.000Z

tensorflow/python/debug/lib/debug_events_reader.py

scentini/tensorflow

204ed332c0886a0e0ab10b22ba8d67b97e1c83c4

[ "Apache-2.0" ]

10

2020-12-15T03:55:24.000Z

2021-12-17T23:14:11.000Z

# Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Reader class for tfdbg v2 debug events.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import glob import os import threading from tensorflow.core.protobuf import debug_event_pb2 from tensorflow.python import pywrap_tensorflow from tensorflow.python.framework import errors from tensorflow.python.util import compat class DebugEventsReader(object): """Reader class for a tfdbg v2 DebugEvents directory.""" def __init__(self, dump_root): if not os.path.isdir(dump_root): raise ValueError("Specified dump_root is not a directory: %s" % dump_root) metadata_paths = glob.glob(os.path.join(dump_root, "*.metadata")) if not metadata_paths: raise ValueError("Cannot find any metadata file in directory: %s" % dump_root) elif len(metadata_paths) > 1: raise ValueError( "Unexpected: Found multiple (%d) metadata in directory: %s" % (len(metadata_paths), dump_root)) self._metadata_path = compat.as_bytes(metadata_paths[0]) self._metadata_reader = None prefix = metadata_paths[0][:-len(".metadata")] self._source_files_path = compat.as_bytes("%s.source_files" % prefix) self._stack_frames_path = compat.as_bytes("%s.stack_frames" % prefix) self._graphs_path = compat.as_bytes("%s.graphs" % prefix) self._execution_path = compat.as_bytes("%s.execution" % prefix) self._graph_execution_traces_path = compat.as_bytes( "%s.graph_execution_traces" % prefix) self._readers = dict() # A map from file path to reader. self._readers_lock = threading.Lock() def _generic_iterator(self, file_path): """A helper method that makes an iterator given a debug-events file path.""" # The following code uses the double-checked locking pattern to optimize # the common case (where the reader is already initialized). if file_path not in self._readers: # 1st check, without lock. with self._readers_lock: if file_path not in self._readers: # 2nd check, with lock. with errors.raise_exception_on_not_ok_status() as status: self._readers[file_path] = pywrap_tensorflow.PyRecordReader_New( compat.as_bytes(file_path), 0, b"", status) reader = self._readers[file_path] while True: try: reader.GetNext() except (errors.DataLossError, errors.OutOfRangeError): # We ignore partial read exceptions, because a record may be truncated. # PyRecordReader holds the offset prior to the failed read, so retrying # will succeed. break yield debug_event_pb2.DebugEvent.FromString(reader.record()) def metadata_iterator(self): return self._generic_iterator(self._metadata_path) def source_files_iterator(self): return self._generic_iterator(self._source_files_path) def stack_frames_iterator(self): return self._generic_iterator(self._stack_frames_path) def graphs_iterator(self): return self._generic_iterator(self._graphs_path) def execution_iterator(self): return self._generic_iterator(self._execution_path) def graph_execution_traces_iterator(self): return self._generic_iterator(self._graph_execution_traces_path)

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0.016949

0

null

0

null

0

1

0

1

2aadd1bf492d72d9413391d2877375cb66b76d8f

1,099

py

Python

neolearnit/src/main/python/get_vocabulary.py

BBN-E/LearnIt

4f602f113cac9f4a7213b348a42c0fef23e2739c

[ "Apache-2.0" ]

5

2020-08-29T21:23:05.000Z

2022-03-24T19:57:44.000Z

neolearnit/src/main/python/get_vocabulary.py

BBN-E/LearnIt

4f602f113cac9f4a7213b348a42c0fef23e2739c

[ "Apache-2.0" ]

11

2020-03-04T23:03:34.000Z

2022-02-18T04:04:04.000Z

neolearnit/src/main/python/get_vocabulary.py

BBN-E/LearnIt

4f602f113cac9f4a7213b348a42c0fef23e2739c

[ "Apache-2.0" ]

1

2021-05-19T11:51:51.000Z

import sys, os, re, codecs, json, glob import random from random import randint from collections import defaultdict from collections import Counter from sets import Set words=Set() def read_json_data(strJsonFile): with codecs.open(strJsonFile, 'r', encoding='utf-8') as f: try: json_data = json.load(f) except ValueError as ve: print "While loading: " + filename print str(ve) sys.exit(1) return json_data def main(input_json): json_data = read_json_data(input_json) for j in json_data: for w in j['head']['word'].split(" "): words.add(w) for w in j['tail']['word'].split(" "): words.add(w) for w in j['sentence'].split(" "): words.add(w) for w in words: print w ## sample instances #print "writing json..." #f.close() #o.write(json.dumps(relation_mentions, sort_keys=True, indent=4, cls=json.JSONEncoder, ensure_ascii=False)) #o.close() if __name__ == "__main__": input_json = sys.argv[1] main(input_json)

22.895833

111

0.604186

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1,099

4.189542

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1,099

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null

0.1

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null

0

null

0

1

0

1

2ab807f882174850903dfd3ada3ceadfda7a1b90

554

py

Python

ownblock/ownblock/apps/parking/views.py

danjac/ownblock

ac662fb7efb2f04567e2f85638c1250286452611

[ "MIT" ]

3

2015-06-12T04:42:02.000Z

2018-10-29T17:09:10.000Z

ownblock/ownblock/apps/parking/views.py

danjac/ownblock

ac662fb7efb2f04567e2f85638c1250286452611

[ "MIT" ]

null

ownblock/ownblock/apps/parking/views.py

danjac/ownblock

ac662fb7efb2f04567e2f85638c1250286452611

[ "MIT" ]

null

from rest_framework import viewsets from .models import Vehicle from .serializers import VehicleSerializer class VehicleViewSet(viewsets.ModelViewSet): model = Vehicle serializer_class = VehicleSerializer def pre_save(self, obj): if obj.resident_id is None: obj.resident = self.request.user def get_queryset(self): return super().get_queryset().filter( resident__apartment__building=self.request.building ).select_related('resident', 'resident__apartment',)

25.181818

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58

554

6.327586

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0.059946

0

0.240072

554

21

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0

0.048736

0

1

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false

0

0.214286

0.071429

0.642857

0

null

0

null

0

1

0

1

2ac69b5d4714157fc71eff7a6a23f99b61269132

8,407

py

Python

train/solver.py

nhonth/DeLF-pytorch

5577a447a0330b9e976cff56a10fc91669216b8c

[ "MIT" ]

315

2019-01-28T05:45:25.000Z

2022-03-28T07:58:13.000Z

train/solver.py

nhonth/DeLF-pytorch

5577a447a0330b9e976cff56a10fc91669216b8c

[ "MIT" ]

38

2019-02-21T06:17:00.000Z

2021-07-05T12:40:00.000Z

train/solver.py

nhonth/DeLF-pytorch

5577a447a0330b9e976cff56a10fc91669216b8c

[ "MIT" ]

74

2019-01-28T08:08:10.000Z

2021-12-20T09:27:03.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- ''' PyTorch Implementation of training DeLF feature. Solver for step 1 (finetune local descriptor) nashory, 2018.04 ''' import os, sys, time import shutil import torch import torch.nn as nn import torch.optim as optim from torch.autograd import Variable from utils import Bar, Logger, AverageMeter, compute_precision_top_k, mkdir_p '''helper functions. ''' def __cuda__(x): if torch.cuda.is_available(): return x.cuda() else: return x def __is_cuda__(): return torch.cuda.is_available() def __to_var__(x, volatile=False): return Variable(x, volatile=volatile) def __to_tensor__(x): return x.data class Solver(object): def __init__(self, config, model): self.state = {k: v for k, v in config._get_kwargs()} self.config = config self.epoch = 0 # global epoch. self.best_acc = 0 # global best accuracy. self.prefix = os.path.join('repo', config.expr) # ship model to cuda self.model = __cuda__(model) # define criterion and optimizer self.criterion = nn.CrossEntropyLoss() if config.optim.lower() in ['rmsprop']: self.optimizer = optim.RMSprop(filter(lambda p: p.requires_grad, self.model.parameters()), lr=config.lr, weight_decay=config.weight_decay) elif config.optim.lower() in ['sgd']: self.optimizer = optim.SGD(filter(lambda p: p.requires_grad, self.model.parameters()), lr=config.lr, weight_decay=config.weight_decay) elif config.optim.lower() in ['adam']: self.optimizer = optim.Adam(filter(lambda p: p.requires_grad, self.model.parameters()), lr=config.lr, weight_decay=config.weight_decay) # decay learning rate by a factor of 0.5 every 10 epochs self.lr_scheduler = optim.lr_scheduler.StepLR( self.optimizer, step_size=config.lr_stepsize, gamma=config.lr_gamma) # create directory to save result if not exist. self.ckpt_path = os.path.join(self.prefix, config.stage, 'ckpt') self.log_path = os.path.join(self.prefix, config.stage, 'log') self.image_path = os.path.join(self.prefix, config.stage, 'image') mkdir_p(self.ckpt_path) mkdir_p(self.log_path) mkdir_p(self.image_path) # set logger. self.logger = {} self.title = 'DeLF-{}'.format(config.stage.upper()) self.logger['train'] = Logger(os.path.join(self.prefix, config.stage, 'log/train.log')) self.logger['val'] = Logger(os.path.join(self.prefix, config.stage, 'log/val.log')) self.logger['train'].set_names( ['epoch','lr', 'loss', 'top1_accu', 'top3_accu', 'top5_accu']) self.logger['val'].set_names( ['epoch','lr', 'loss', 'top1_accu', 'top3_accu', 'top5_accu']) def __exit__(self): self.train_logger.close() self.val_logger.close() def __adjust_pixel_range__(self, x, range_from=[0,1], range_to=[-1,1]): ''' adjust pixel range from <range_from> to <range_to>. ''' if not range_from == range_to: scale = float(range_to[1]-range_to[0])/float(range_from[1]-range_from[0]) bias = range_to[0]-range_from[0]*scale x = x.mul(scale).add(bias) return x def __save_checkpoint__(self, state, ckpt='ckpt', filename='checkpoint.pth.tar'): filepath = os.path.join(ckpt, filename) torch.save(state, filepath) def __solve__(self, mode, epoch, dataloader): '''solve mode: train / val ''' batch_timer = AverageMeter() data_timer = AverageMeter() prec_losses = AverageMeter() prec_top1 = AverageMeter() prec_top3 = AverageMeter() prec_top5 = AverageMeter() if mode in ['val']: pass; #confusion_matrix = ConusionMeter() since = time.time() bar = Bar('[{}]{}'.format(mode.upper(), self.title), max=len(dataloader)) for batch_idx, (inputs, labels) in enumerate(dataloader): # measure data loading time data_timer.update(time.time() - since) # wrap inputs in variable if mode in ['train']: if __is_cuda__(): inputs = inputs.cuda() labels = labels.cuda(async=True) inputs = __to_var__(inputs) labels = __to_var__(labels) elif mode in ['val']: if __is_cuda__(): inputs = inputs.cuda() labels = labels.cuda(async=True) inputs = __to_var__(inputs, volatile=True) labels = __to_var__(labels, volatile=False) # forward outputs = self.model(inputs) loss = self.criterion(outputs, labels) # backward + optimize if mode in ['train']: self.optimizer.zero_grad() loss.backward() self.optimizer.step() # statistics prec_1, prec_3, prec_5 = compute_precision_top_k( __to_tensor__(outputs), __to_tensor__(labels), top_k=(1,3,5)) batch_size = inputs.size(0) prec_losses.update(__to_tensor__(loss)[0], batch_size) prec_top1.update(prec_1[0], batch_size) prec_top3.update(prec_3[0], batch_size) prec_top5.update(prec_5[0], batch_size) # measure elapsed time batch_timer.update(time.time() - since) since = time.time() # progress log_msg = ('\n[{mode}][epoch:{epoch}][iter:({batch}/{size})]'+ '[lr:{lr}] loss: {loss:.4f} | top1: {top1:.4f} | ' + 'top3: {top3:.4f} | top5: {top5:.4f} | eta: ' + '(data:{dt:.3f}s),(batch:{bt:.3f}s),(total:{tt:})') \ .format( mode=mode, epoch=self.epoch+1, batch=batch_idx+1, size=len(dataloader), lr=self.lr_scheduler.get_lr()[0], loss=prec_losses.avg, top1=prec_top1.avg, top3=prec_top3.avg, top5=prec_top5.avg, dt=data_timer.val, bt=batch_timer.val, tt=bar.elapsed_td) print(log_msg) bar.next() bar.finish() # write to logger self.logger[mode].append([self.epoch+1, self.lr_scheduler.get_lr()[0], prec_losses.avg, prec_top1.avg, prec_top3.avg, prec_top5.avg]) # save model if mode == 'val' and prec_top1.avg > self.best_acc: print('best_acc={}, new_best_acc={}'.format(self.best_acc, prec_top1.avg)) self.best_acc = prec_top1.avg state = { 'epoch': self.epoch, 'acc': self.best_acc, 'optimizer': self.optimizer.state_dict(), } self.model.write_to(state) filename = 'bestshot.pth.tar' self.__save_checkpoint__(state, ckpt=self.ckpt_path, filename=filename) def train(self, mode, epoch, train_loader, val_loader): self.epoch = epoch if mode in ['train']: self.model.train() self.lr_scheduler.step() dataloader = train_loader else: assert mode == 'val' self.model.eval() dataloader = val_loader self.__solve__(mode, epoch, dataloader)

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0.170821

0.144428

0.124878

0

0.014954

0.371595

8,407

227

103

37.035242

0.759606

0.050077

0

0.141975

0

0.012346

0.059228

0.012469

0

0.006173

0

null

0.006173

0.04321

null

0.012346

0

null

0

null

0

1

0

1

2ac870289e4a135beaad406a435f626a1f8fb78e

518

py

Python

data_sqlalchemy/word.py

natter1/estonian_learner

da7837f0d64f4c1f6a212a9c473252c4b834699a

[ "MIT" ]

null

data_sqlalchemy/word.py

natter1/estonian_learner

da7837f0d64f4c1f6a212a9c473252c4b834699a

[ "MIT" ]

null

data_sqlalchemy/word.py

natter1/estonian_learner

da7837f0d64f4c1f6a212a9c473252c4b834699a

[ "MIT" ]

null

import datetime from data_sqlalchemy.modelbase import SqlAlchemyBase import sqlalchemy as sa class Word(SqlAlchemyBase): __tablename__ = "words" # id = sa.Column(sa.Integer, primary_key=True, autoincrement=True) id = sa.Column(sa.String, primary_key=True) created_date = sa.Column(sa.DateTime, default=datetime.datetime.now, index=True) hint = sa.String() # not supported by sqlite: nullable=True def __repr__(self): # for more useful debug messages return f"<Package {self.id}>"

32.375

84

0.727799

69

518

5.289855

0.623188

0.065753

0.082192

0.065753

0

0.169884

518

15

85

34.533333

0.848837

0.258687

0

0.063158

0

1

0.1

false

0

0.3

0.1

1

0

null

0

null

0

1

0

1

2acdbe48c1a63c18df33e8e3cfb8731347ace259

466

py

Python

fbl_handler/test_message_id_extractor.py

wheekey/fbl-handler

918e2c7ac50033630eebd5741a7ad3e9c56c3930

[ "MIT" ]

null

fbl_handler/test_message_id_extractor.py

wheekey/fbl-handler

918e2c7ac50033630eebd5741a7ad3e9c56c3930

[ "MIT" ]

null

fbl_handler/test_message_id_extractor.py

wheekey/fbl-handler

918e2c7ac50033630eebd5741a7ad3e9c56c3930

[ "MIT" ]

null

from unittest import TestCase from fbl_handler.message_id_extractor import MessageIdExtractor class TestMessageIdExtractor(TestCase): def setUp(self): self.message_id_extractor = MessageIdExtractor() def test_extract_from_yandex_fbl(self): with open('files/yandex_fbl.txt', 'r') as file: file_content = file.read() self.assertEqual(self.message_id_extractor.extract_from_yandex_fbl(file_content), '1jb6B3-0004MN-Dq')

31.066667

109

0.751073

58

466

5.741379

0.534483

0.081081

0.162162

0.132132

0

0.017949

0.16309

466

14

110

33.285714

0.835897

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0

0.111111

1

0.222222

false

0

0.222222

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0.555556

0

null

0

null

0

1

0

1

2ae22ebc1ff5af7ea983e4b1cf1879b8fdb9382c

9,880

py

Python

python/plot_meridional_avg_multiple_fields_climo.py

E3SM-Project/a-prime

a8c084ab6f727904a2b38d8a93b9c83e2f978e3f

[ "BSD-3-Clause" ]

1

2017-06-07T13:13:32.000Z

python/plot_meridional_avg_multiple_fields_climo.py

ACME-Climate/a-prime

a8c084ab6f727904a2b38d8a93b9c83e2f978e3f

[ "BSD-3-Clause" ]

31

2017-06-07T00:26:58.000Z

2018-04-09T17:03:15.000Z

python/plot_meridional_avg_multiple_fields_climo.py

ACME-Climate/a-prime

a8c084ab6f727904a2b38d8a93b9c83e2f978e3f

[ "BSD-3-Clause" ]

1

2018-08-05T23:43:59.000Z

# # Copyright (c) 2017, UT-BATTELLE, LLC # All rights reserved. # # This software is released under the BSD license detailed # in the LICENSE file in the top level a-prime directory # ###Work in Progress: Plot meridional averages for different fields in the same plot. ###07/03/2017 import matplotlib as mpl #changing the default backend to agg to resolve contouring issue on rhea mpl.use('Agg') from mpl_toolkits.basemap import Basemap import matplotlib.pyplot as plt from matplotlib.ticker import MaxNLocator import numpy from netCDF4 import Dataset from read_monthly_data_ts import read_monthly_data_ts from get_season_months_index import get_season_months_index from get_days_in_season_months import get_days_in_season_months from get_reg_area_avg import get_reg_area_avg from aggregate_ts_weighted import aggregate_ts_weighted from get_reg_seasonal_avg import get_reg_seasonal_avg from get_season_name import get_season_name from get_reg_avg_climo import get_reg_avg_climo from optparse import OptionParser import argparse def plot_meridional_avg_multiple_fields_climo (indir, casename, field_name, interp_grid, interp_method, ref_case, ref_interp_grid, ref_interp_method, begin_yr, end_yr, begin_month, end_month, aggregate, debug = False): n_fields = len(field_names) for i,field_name in enumerate(field_names): print __name__, 'casename: ', casename meridional_avg, lon_reg, units = get_reg_meridional_avg_climo ( indir = indir, casename = casename, field_name = field_names[i], interp_grid = interp_grid, interp_method = interp_method, begin_yr = begin_yr, end_yr = end_yr, begin_month = begin_month, end_month = end_month, reg = reg, debug = debug) if i == 0: plot_field = numpy.zeros((n_fields, meridional_avg.shape[0])) units_list = [] plot_field[i, :] = meridional_avg units_list.append(units) if ref_case == 'CERES-EBAF': if field_name == 'FLNT': field_name_ref = 'FLUT' if field_name == 'RESTOM': field_name_ref = 'RESTOA' if field_name == 'FSNT': field_name_ref = 'FSNTOA' elif ref_case == 'HadISST': if field_name == 'TS': field_name_ref = 'SST' else: field_name_ref = field_name ref_meridional_avg, lon_reg, ref_units = get_reg_meridional_avg_climo ( indir = ref_case_dir, casename = ref_case, field_name = field_name_ref, interp_grid = ref_interp_grid, interp_method = ref_interp_method, begin_yr = begin_yr, end_yr = end_yr, begin_month = begin_month, end_month = end_month, reg = reg, debug = debug) if i == 0: ref_plot_field = numpy.zeros((n_fields, meridional_avg.shape[0])) ref_plot_field[i, :] = ref_meridional_avg if debug: print __name__, 'ref_plot_field.shape ', ref_plot_field.shape if debug: print __name__, 'plot_field: ', plot_field plot_field_mean = numpy.mean(plot_field, axis = 1) ref_plot_field_mean = numpy.mean(ref_plot_field, axis = 1) f, ax = plt.subplots(n_fields, sharex = True, figsize=(8.5,11)) nlon = lon_reg.shape[0] f.text(0.5, 0.04, 'Longitude', ha='center', fontsize = 24) season = get_season_name(begin_month, end_month) plt.suptitle(reg_name + '\n Meridional Avg. ' + season, fontsize = 24) ref_case_text = ref_case + ' ' + field_name_ref + ' climo' for i,field_name in enumerate(field_names): min_plot = min(numpy.amin(plot_field[i, :]), ref_plot_field[i, 0]) max_plot = max(numpy.amax(plot_field[i, :]), ref_plot_field[i, 0]) y_axis_ll = min_plot - 0.5*numpy.std(plot_field[i, :]) y_axis_ul = max_plot + 0.5 * numpy.std(plot_field[i,:]) ax[i].axis([lon_reg[0],lon_reg[-1], y_axis_ll, y_axis_ul]) print 'lon_reg[0],lon_reg[-1], 1.1*min_plot, 1.1*max_plot: ', \ lon_reg[0],lon_reg[-1], 1.1*min_plot, 1.1*max_plot test_line, = ax[i].plot(lon_reg, plot_field[i, :], color = colors[i], linewidth = 1.0, label = casename) ref_line, = ax[i].plot(lon_reg, ref_plot_field[i, :], color = 'black', linewidth = 1.0, label = ref_case) if i == 0: ax[i].legend(bbox_to_anchor = (1.0,1.5), handles=[ref_line, test_line], fontsize = 10) ax[i].set_title(field_name, fontsize = 12) ax[i].text(0.04, 0.5, field_name + ' (' + units_list[i] + ')', va='center', rotation='vertical', fontsize = 16) ax[i].get_yaxis().get_major_formatter().set_useOffset(False) ax[i].yaxis.set_major_locator(MaxNLocator(6)) for tick in ax[i].yaxis.get_major_ticks(): tick.label.set_fontsize(10) for tick in ax[i].xaxis.get_major_ticks(): tick.label.set_fontsize(10) plt.subplots_adjust(hspace=0.3) mpl.rcParams['savefig.dpi']=300 outfile = plots_dir + '/' + casename + '_' \ + meridional_avg + '_' + reg + '_' + season + '.png' plt.savefig(outfile) #plt.show() if __name__ == "__main__": parser = argparse.ArgumentParser(usage = "python %prog [options]") parser.add_argument("-d", "--debug", dest = "debug", default = False, help = "debug option to print some data") parser.add_argument("--indir", dest = "indir", help = "filepath to directory model data") parser.add_argument("-c", "--casename", dest = "casename", help = "casename of the run") parser.add_argument("-f", "--field_name", dest = "field_names", nargs = '+', help = "variable name") parser.add_argument("--interp_grid", dest = "interp_grid", help = "variable name") parser.add_argument("--interp_method", dest = "interp_method", help = "method used for interpolating the test case e.g. conservative_mapping") parser.add_argument("--ref_case_dir", dest = "ref_case_dir", help = "filepath to ref_case directory") parser.add_argument("--ref_case", dest = "ref_case", help = "reference casename") parser.add_argument("--ref_interp_grid", dest = "ref_interp_grid", help = "name of the interpolated grid of reference case") parser.add_argument("--ref_interp_method", dest = "ref_interp_method", help = "method used for interpolating the reference case e.g. conservative_mapping") parser.add_argument("--begin_yr", dest = "begin_yr", type = int, help = "begin year") parser.add_argument("--end_yr", dest = "end_yr", type = int, help = "end year") parser.add_argument("--begin_month", dest = "begin_month", type = int, help = "begin_month", default = 0) parser.add_argument("--end_month", dest = "end_month", type = int, help = "end_month", default = 11) parser.add_argument("--aggregate", dest = "aggregate", type = int, help = "end_month", default = 1) parser.add_argument("--reg", dest = "reg", nargs = '+', help = "regions to be analyzed/plotted") parser.add_argument("--reg_name", dest = "reg_name", nargs = '+', help = "names of regions to be placed in plots") parser.add_argument("--plots_dir", dest = "plots_dir", help = "filepath to GPCP directory") args = parser.parse_args() debug = args.debug indir = args.indir casename = args.casename field_names = args.field_names interp_grid = args.interp_grid interp_method = args.interp_method ref_case_dir = args.ref_case_dir ref_case = args.ref_case ref_interp_grid = args.ref_interp_grid ref_interp_method = args.ref_interp_method begin_yr = args.begin_yr end_yr = args.end_yr begin_month = args.begin_month end_month = args.end_month aggregate = args.aggregate reg = args.reg reg_name = args.reg_name plots_dir = args.plots_dir colors = ['b', 'g', 'r', 'c', 'm', 'y'] x = mpl.get_backend() print 'backend: ', x plot_meridional_avg_multiple_fields_climo( indir = indir, casename = casename, field_names = field_names, interp_grid = interp_grid, interp_method = interp_method, ref_case = ref_case, ref_interp_grid = ref_interp_grid, ref_interp_method = ref_interp_method, begin_yr = begin_yr, end_yr = end_yr, begin_month = begin_month, end_month = end_month, reg = reg, reg_name = reg_name, aggregate = aggregate, debug = debug)

37.003745

119

0.566093

1,208

9,880

4.31457

0.194536

0.034536

0.058711

0.020721

0.3302

0.275326

0.233308

0.178434

0.085572

0

0.013196

0.332692

9,880

266

120

37.142857

0.77734

0.034514

0

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0

0.12013

0.002415

0

null

0

0.086486

null

0.032432

0

null

0

null

0

1

0

1

2ae2318f1e53b32601c5c8db2c16277213b2f472

1,670

py

Python

sample/sample.py

dogwood008/python-kabusapi

7e7a5ac232e037c651b5447b408d8b0b6727c9b0

[ "MIT" ]

11

2020-10-02T04:27:50.000Z

2022-01-05T03:41:03.000Z

sample/sample.py

dogwood008/python-kabusapi

7e7a5ac232e037c651b5447b408d8b0b6727c9b0

[ "MIT" ]

1

2020-12-15T03:52:45.000Z

2020-12-15T23:28:04.000Z

sample/sample.py

dogwood008/python-kabusapi

7e7a5ac232e037c651b5447b408d8b0b6727c9b0

[ "MIT" ]

5

2021-02-21T16:25:50.000Z

2022-02-15T08:11:43.000Z

import kabusapi url = "localhost" port = "18081" # 検証用, 本番用は18080 password = "hogehoge" # 初期設定・トークン取得 api = kabusapi.Context(url, port, password) # 取得トークンの表示 print(api.token) # トークンを指定した初期設定パスワードが不要 api = kabusapi.Context(url, port, token='fugafuga') # 注文発注 (現物買い) data = { "Password": "hoge", "Symbol": 8306, # MUFG "Exchange": 1, "SecurityType": 1, "Side": 2, "CashMargin": 1, "MarginTradeType": None, "DelivType": 1, "FundType": "02", "AccountType": 4, "Qty": 100, "ClosePositionOrder": None, "Price": 0, "ExpireDay": 0, "FrontOrderType": 10, } response = api.sendorder(**data) # 注文取消 data = { "OrderId": "hoge", "Password": "fuga", } response = api.cancelorder(**data) # 取引余力（現物） response = api.wallet.cash() # 取引余力（現物）（銘柄指定） data = { "symbol": 8306, "exchange": 1, } response = api.wallet.cash(**data) # 取引余力（信用） response = api.wallet.margin() # 取引余力（信用）（銘柄指定） data = { "symbol": 8306, "exchange": 1, } response = api.wallet.margin(**data) # 時価情報・板情報 data = { "symbol": 8306, "exchange": 1, } response = api.board(**data) # 銘柄情報 data = { "symbol": 8306, "exchange": 1, } response = api.symbol(**data) # 注文約定照会 response = api.orders() # 残高照会 response = api.positions() # 銘柄登録 data = { "Symbols": [ {"Symbol": 8306, "Exchange": 1, }, {"Symbol": 9433, "Exchange": 1, }, ] } response = api.register(**data) # 銘柄登録解除 data = { "Symbols": [ {"Symbol": 8306, "Exchange": 1, }, {"Symbol": 9433, "Exchange": 1, }, ] } response = api.unregister(**data) # 銘柄登録全解除 response = api.unregister.all()

14.396552

51

0.575449

183

1,670

5.262295

0.42623

0.148494

0.11215

0.11838

0.338525

0.286604

0.215992

0.124611

0

0.053822

0.232335

1,670

115

52

14.521739

0.695788

0.10479

0

0.318841

0

0.22019

0

1

0

false

0.057971

0.014493

0

0.014493

0

null

0

null

0

1

0

1

2ae48ee7262087d6a799cdd263fa2699c0692509

2,766

py

Python

tests/runtime/doubling_vector.py

yangdanny97/chocopy-python-compiler

588cba0cb330bd63f00e06420a32ba47c25c4468

[ "MIT" ]

7

2021-08-28T18:20:45.000Z

2022-02-01T07:35:59.000Z

tests/runtime/doubling_vector.py

yangdanny97/chocopy-python-compiler

588cba0cb330bd63f00e06420a32ba47c25c4468

[ "MIT" ]

1

2020-05-30T17:57:11.000Z

2020-05-30T20:44:53.000Z

tests/runtime/doubling_vector.py

yangdanny97/chocopy-python-frontend

d0fb63fc744771640fa4d06076743f42089899c1

[ "MIT" ]

2

2022-02-05T06:16:16.000Z

2022-02-24T11:07:09.000Z

# A resizable list of integers class Vector(object): # Attributes items: [int] = None size: int = 0 # Constructor def __init__(self:"Vector"): self.items = [0] # Returns current capacity def capacity(self:"Vector") -> int: return len(self.items) # Increases capacity of vector by one element def increase_capacity(self:"Vector") -> int: self.items = self.items + [0] return self.capacity() # Appends one item to end of vector def append(self:"Vector", item: int): if self.size == self.capacity(): self.increase_capacity() self.items[self.size] = item self.size = self.size + 1 # A faster (but more memory-consuming) implementation of vector class DoublingVector(Vector): doubling_limit:int = 16 # Overriding to do fewer resizes def increase_capacity(self:"DoublingVector") -> int: if (self.capacity() <= self.doubling_limit // 2): self.items = self.items + self.items else: # If doubling limit has been reached, fall back to # standard capacity increases self.items = self.items + [0] return self.capacity() def vrange(i:int, j:int) -> Vector: v:Vector = None v = DoublingVector() while i < j: v.append(i) i = i + 1 return v vec:Vector = None num:int = 0 # Create a vector and populate it with The Numbers vec = DoublingVector() for num in [4, 8, 15, 16, 23, 42]: vec.append(num) __assert__(vec.capacity() == 8) __assert__(vec.size == 6) __assert__(vec.items[0] == 4) __assert__(vec.items[1] == 8) __assert__(vec.items[2] == 15) __assert__(vec.items[3] == 16) __assert__(vec.items[4] == 23) __assert__(vec.items[5] == 42) # extras from doubling __assert__(vec.items[6] == 15) __assert__(vec.items[7] == 16) vec = Vector() for num in [4, 8, 15, 16, 23, 42]: vec.append(num) __assert__(vec.capacity() == 6) __assert__(vec.size == 6) __assert__(vec.items[0] == 4) __assert__(vec.items[1] == 8) __assert__(vec.items[2] == 15) __assert__(vec.items[3] == 16) __assert__(vec.items[4] == 23) __assert__(vec.items[5] == 42) vec = vrange(0, 1) __assert__(vec.capacity() == 1) __assert__(vec.size == 1) __assert__(vec.items[0] == 0) vec = vrange(0, 2) __assert__(vec.capacity() == 2) __assert__(vec.size == 2) __assert__(vec.items[0] == 0) __assert__(vec.items[1] == 1) vec = vrange(1, 3) __assert__(vec.capacity() == 2) __assert__(vec.size == 2) __assert__(vec.items[0] == 1) __assert__(vec.items[1] == 2) vec = vrange(1, 1) __assert__(vec.capacity() == 1) __assert__(vec.size == 0) vec = vrange(0, -1) __assert__(vec.capacity() == 1) __assert__(vec.size == 0) vec = vrange(1, 100) __assert__(vec.size == 99)

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63

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396

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0.166771

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0.340439

0

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2,766

111

64

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false

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