xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

60e7fd2a428e03eaeee1467baac8a69ce2121456

9,545

py

Python

ambari-server/src/test/python/stacks/2.6/SPARK2/test_spark_livy2.py

Syndra/Ambari-source

717526b2bf3636622212b14de0d3d298a20c7370

[ "Apache-2.0" ]

1

2021-06-24T07:59:25.000Z

ambari-server/src/test/python/stacks/2.6/SPARK2/test_spark_livy2.py

Syndra/Ambari-source

717526b2bf3636622212b14de0d3d298a20c7370

[ "Apache-2.0" ]

null

ambari-server/src/test/python/stacks/2.6/SPARK2/test_spark_livy2.py

Syndra/Ambari-source

717526b2bf3636622212b14de0d3d298a20c7370

[ "Apache-2.0" ]

null

#!/usr/bin/env python ''' Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you 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. ''' import json from mock.mock import MagicMock, patch from stacks.utils.RMFTestCase import * from only_for_platform import not_for_platform, PLATFORM_WINDOWS @not_for_platform(PLATFORM_WINDOWS) @patch("resource_management.libraries.functions.get_stack_version", new=MagicMock(return_value="2.5.0.0-1597")) class TestSparkClient(RMFTestCase): COMMON_SERVICES_PACKAGE_DIR = "SPARK2/2.0.0/package" STACK_VERSION = "2.6" DEFAULT_IMMUTABLE_PATHS = ['/apps/hive/warehouse', '/apps/falcon', '/mr-history/done', '/app-logs', '/tmp'] def test_configure_default(self): self.executeScript(self.COMMON_SERVICES_PACKAGE_DIR + "/scripts/livy2_server.py", classname = "LivyServer", command = "start", config_file="default.json", stack_version = self.STACK_VERSION, target = RMFTestCase.TARGET_COMMON_SERVICES ) self.assert_start_default() self.assertNoMoreResources() def assert_start_default(self): self.assertResourceCalled('Directory', '/var/run/livy2', owner = 'livy', group = 'hadoop', create_parents = True, mode = 0775 ) self.assertResourceCalled('Directory', '/var/log/livy2', owner = 'livy', group = 'hadoop', create_parents = True, mode = 0775 ) self.assertResourceCalled('HdfsResource', '/user/livy', immutable_paths = self.DEFAULT_IMMUTABLE_PATHS, security_enabled = False, hadoop_bin_dir = '/usr/hdp/2.5.0.0-1235/hadoop/bin', keytab = UnknownConfigurationMock(), default_fs = 'hdfs://c6401.ambari.apache.org:8020', hdfs_site = {u'a': u'b'}, kinit_path_local = '/usr/bin/kinit', principal_name = UnknownConfigurationMock(), user = 'hdfs', owner = 'livy', hadoop_conf_dir = '/usr/hdp/2.5.0.0-1235/hadoop/conf', type = 'directory', action = ['create_on_execute'], hdfs_resource_ignore_file='/var/lib/ambari-agent/data/.hdfs_resource_ignore', dfs_type = '', mode = 0775, ) self.assertResourceCalled('HdfsResource', None, immutable_paths = self.DEFAULT_IMMUTABLE_PATHS, security_enabled = False, hadoop_bin_dir = '/usr/hdp/2.5.0.0-1235/hadoop/bin', keytab = UnknownConfigurationMock(), default_fs = 'hdfs://c6401.ambari.apache.org:8020', hdfs_site = {u'a': u'b'}, kinit_path_local = '/usr/bin/kinit', principal_name = UnknownConfigurationMock(), user = 'hdfs', action = ['execute'], hdfs_resource_ignore_file='/var/lib/ambari-agent/data/.hdfs_resource_ignore', dfs_type = '', hadoop_conf_dir = '/usr/hdp/2.5.0.0-1235/hadoop/conf', ) self.assertResourceCalled('HdfsResource', '/livy2-recovery', immutable_paths = self.DEFAULT_IMMUTABLE_PATHS, security_enabled = False, hadoop_bin_dir = '/usr/hdp/2.5.0.0-1235/hadoop/bin', keytab = UnknownConfigurationMock(), default_fs = 'hdfs://c6401.ambari.apache.org:8020', hdfs_site = {u'a': u'b'}, kinit_path_local = '/usr/bin/kinit', principal_name = UnknownConfigurationMock(), user = 'hdfs', owner = 'livy', hadoop_conf_dir = '/usr/hdp/2.5.0.0-1235/hadoop/conf', type = 'directory', action = ['create_on_execute'], hdfs_resource_ignore_file='/var/lib/ambari-agent/data/.hdfs_resource_ignore', dfs_type = '', mode = 0700, ) self.assertResourceCalled('HdfsResource', None, immutable_paths = self.DEFAULT_IMMUTABLE_PATHS, security_enabled = False, hadoop_bin_dir = '/usr/hdp/2.5.0.0-1235/hadoop/bin', keytab = UnknownConfigurationMock(), default_fs = 'hdfs://c6401.ambari.apache.org:8020', hdfs_site = {u'a': u'b'}, kinit_path_local = '/usr/bin/kinit', principal_name = UnknownConfigurationMock(), user = 'hdfs', action = ['execute'], hdfs_resource_ignore_file='/var/lib/ambari-agent/data/.hdfs_resource_ignore', dfs_type = '', hadoop_conf_dir = '/usr/hdp/2.5.0.0-1235/hadoop/conf', ) self.assertResourceCalled('File', '/usr/hdp/current/livy2-server/conf/livy-env.sh', content = InlineTemplate(self.getConfig()['configurations']['livy2-env']['content']), owner = 'livy', group = 'livy', mode = 0644, ) self.assertResourceCalled('PropertiesFile', '/usr/hdp/current/livy2-server/conf/livy.conf', owner = 'livy', key_value_delimiter = ' ', group = 'livy', properties = self.getConfig()['configurations']['livy2-conf'], ) self.assertResourceCalled('File', '/usr/hdp/current/livy2-server/conf/log4j.properties', content = '\n # Set everything to be logged to the console\n log4j.rootCategory=INFO, console\n log4j.appender.console=org.apache.log4j.ConsoleAppender\n log4j.appender.console.target=System.err\n log4j.appender.console.layout=org.apache.log4j.PatternLayout\n log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n\n\n log4j.logger.org.eclipse.jetty=WARN', owner = 'livy', group = 'livy', mode = 0644, ) self.assertResourceCalled('File', '/usr/hdp/current/livy2-server/conf/spark-blacklist.conf', content = self.getConfig()['configurations']['livy2-spark-blacklist']['content'], owner = 'livy', group = 'livy', mode = 0644, ) self.assertResourceCalled('Directory', '/usr/hdp/current/livy2-server/logs', owner = 'livy', group = 'livy', mode = 0755, ) self.assertResourceCalled('Execute', '/usr/hdp/current/livy2-server/bin/livy-server start', environment = {'JAVA_HOME': '/usr/jdk64/jdk1.7.0_45'}, not_if = 'ls /var/run/livy2/livy-livy-server.pid >/dev/null 2>&1 && ps -p `cat /var/run/livy2/livy-livy-server.pid` >/dev/null 2>&1', user = 'livy' )

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null

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null

0

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0

1

60ec05a1e04f7befa5818096872bdb308d2b1dde

4,552

py

Python

wgskex/worker/netlink.py

moepman/wgskex

7a931088b5910f8034ad5a1362777e08c47c42fe

[ "0BSD" ]

2

2021-01-05T23:42:35.000Z

2021-10-03T14:12:30.000Z

wgskex/worker/netlink.py

moepman/wgskex

7a931088b5910f8034ad5a1362777e08c47c42fe

[ "0BSD" ]

null

wgskex/worker/netlink.py

moepman/wgskex

7a931088b5910f8034ad5a1362777e08c47c42fe

[ "0BSD" ]

null

import hashlib import logging import re from dataclasses import dataclass from datetime import datetime, timedelta from textwrap import wrap from typing import Dict, List from pyroute2 import IPRoute, NDB, WireGuard from wgskex.common.utils import mac2eui64 logger = logging.getLogger(__name__) # TODO make loglevel configurable logger.setLevel("DEBUG") @dataclass class WireGuardClient: public_key: str domain: str remove: bool @property def lladdr(self) -> str: m = hashlib.md5() m.update(self.public_key.encode("ascii") + b"\n") hashed_key = m.hexdigest() hash_as_list = wrap(hashed_key, 2) temp_mac = ":".join(["02"] + hash_as_list[:5]) lladdr = re.sub(r"/\d+$", "/128", mac2eui64(mac=temp_mac, prefix="fe80::/10")) return lladdr @property def vx_interface(self) -> str: return f"vx-{self.domain}" @property def wg_interface(self) -> str: return f"wg-{self.domain}" """WireGuardClient describes complete configuration for a specific WireGuard client Attributes: public_key: WireGuard Public key domain: Domain Name of the WireGuard peer lladdr: IPv6 lladdr of the WireGuard peer wg_interface: Name of the WireGuard interface this peer will use vx_interface: Name of the VXLAN interface we set a route for the lladdr to remove: Are we removing this peer or not? """ def wg_flush_stale_peers(domain: str) -> List[Dict]: stale_clients = find_stale_wireguard_clients("wg-" + domain) result = [] for stale_client in stale_clients: stale_wireguard_client = WireGuardClient( public_key=stale_client, domain=domain, remove=True, ) result.append(link_handler(stale_wireguard_client)) return result # pyroute2 stuff def link_handler(client: WireGuardClient) -> Dict[str, Dict]: results = {} results.update({"Wireguard": wireguard_handler(client)}) try: results.update({"Route": route_handler(client)}) except Exception as e: results.update({"Route": {"Exception": e}}) results.update({"Bridge FDB": bridge_fdb_handler(client)}) return results def bridge_fdb_handler(client: WireGuardClient) -> Dict: with IPRoute() as ip: return ip.fdb( "del" if client.remove else "append", # FIXME this list may be empty if the interface is not existing ifindex=ip.link_lookup(ifname=client.vx_interface)[0], lladdr="00:00:00:00:00:00", dst=re.sub(r"/\d+$", "", client.lladdr), nda_ifindex=ip.link_lookup(ifname=client.wg_interface)[0], ) def wireguard_handler(client: WireGuardClient) -> Dict: with WireGuard() as wg: wg_peer = { "public_key": client.public_key, "persistent_keepalive": 15, "allowed_ips": [client.lladdr], "remove": client.remove, } return wg.set(client.wg_interface, peer=wg_peer) def route_handler(client: WireGuardClient) -> Dict: with IPRoute() as ip: return ip.route( "del" if client.remove else "replace", dst=client.lladdr, oif=ip.link_lookup(ifname=client.wg_interface)[0], ) def find_wireguard_domains() -> List[str]: with NDB() as ndb: # ndb.interfaces[{"kind": "wireguard"}]] seems to trigger https://github.com/svinota/pyroute2/issues/737 iface_values = ndb.interfaces.values() interfaces = [iface.get("ifname", "") for iface in iface_values if iface.get("kind", "") == "wireguard"] result = [iface.removeprefix("wg-") for iface in interfaces if iface.startswith("wg-")] return result def find_stale_wireguard_clients(wg_interface: str) -> List[str]: with WireGuard() as wg: all_clients = [] infos = wg.info(wg_interface) for info in infos: clients = info.get_attr("WGDEVICE_A_PEERS") if clients is not None: all_clients.extend(clients) three_minutes_ago = (datetime.now() - timedelta(minutes=3)).timestamp() stale_clients = [ client.get_attr("WGPEER_A_PUBLIC_KEY").decode("utf-8") for client in all_clients # TODO add never connected peers to a list and remove them on next call if 0 < (client.get_attr("WGPEER_A_LAST_HANDSHAKE_TIME") or {}).get("tv_sec", int()) < three_minutes_ago ] return stale_clients

30.756757

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0.639719

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0.340206

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null

0

null

0

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1

60ed6b24088a86522dceda37eeecc0306f7958dc

1,335

py

Python

scanBase/migrations/0003_ipsection.py

wsqy/sacn_server

e91a41a71b27926fbcfbe3f22bbb6bbc61b39461

[ "Apache-2.0" ]

null

scanBase/migrations/0003_ipsection.py

wsqy/sacn_server

e91a41a71b27926fbcfbe3f22bbb6bbc61b39461

[ "Apache-2.0" ]

null

scanBase/migrations/0003_ipsection.py

wsqy/sacn_server

e91a41a71b27926fbcfbe3f22bbb6bbc61b39461

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-01-16 13:35 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('scanBase', '0002_auto_20180116_1321'), ] operations = [ migrations.CreateModel( name='IPSection', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ip_section', models.CharField(blank=True, max_length=30, null=True, unique=True, verbose_name='ip段')), ('ip_start', models.GenericIPAddressField(blank=True, null=True, verbose_name='开始ip')), ('ip_end', models.GenericIPAddressField(blank=True, null=True, verbose_name='结束ip')), ('total', models.IntegerField(blank=True, null=True, verbose_name='总量')), ('deal_time', models.DateTimeField(blank=True, null=True, verbose_name='处理时间')), ('country', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='scanBase.CountryInfo', verbose_name='所属国家')), ], options={ 'verbose_name_plural': 'ip段信息', 'verbose_name': 'ip段信息', }, ), ]

40.454545

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0.24

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null

0

1

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null

0

1

60f1a087b3bdc065cf389f51df6915d8dc0b8312

563

py

Python

airtech_api/flight/models.py

chidioguejiofor/airtech-api

45d77da0cc4230dd3cb7ab4cbb5168a9239850f5

[ "MIT" ]

1

2019-04-04T12:27:55.000Z

airtech_api/flight/models.py

chidioguejiofor/airtech-api

45d77da0cc4230dd3cb7ab4cbb5168a9239850f5

[ "MIT" ]

34

2019-03-26T11:18:17.000Z

2022-02-10T08:12:36.000Z

airtech_api/flight/models.py

chidioguejiofor/airtech-api

45d77da0cc4230dd3cb7ab4cbb5168a9239850f5

[ "MIT" ]

null

from airtech_api.utils.auditable_model import AuditableBaseModel from django.db import models # Create your models here. class Flight(AuditableBaseModel): class Meta: db_table = 'Flight' capacity = models.IntegerField(null=False) location = models.TextField(null=False) destination = models.TextField(null=False) schedule = models.DateTimeField(null=False) current_price = models.IntegerField() type = models.CharField( choices=(('local', 'local'), ('international', 'international')), max_length=13, )

28.15

73

0.706927

60

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0

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0.184725

563

19

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false

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0

0.714286

0

null

0

null

0

1

0

1

60f465712817804b710d37a55f88faebafc8ed3c

1,675

py

Python

bot_components/configurator.py

Ferlern/Arctic-Tundra

407b8c38c31f6c930df662e87ced527b9fd26c61

[ "MIT" ]

3

2021-11-05T20:22:05.000Z

2022-02-14T12:12:31.000Z

bot_components/configurator.py

Ferlern/Arctic-Tundra

407b8c38c31f6c930df662e87ced527b9fd26c61

[ "MIT" ]

null

bot_components/configurator.py

Ferlern/Arctic-Tundra

407b8c38c31f6c930df662e87ced527b9fd26c61

[ "MIT" ]

null

import json from typing import TypedDict from .bot_emoji import AdditionalEmoji class Warn(TypedDict): text: str mute_time: int ban: bool class PersonalVoice(TypedDict): categoty: int price: int slot_price: int bitrate_price: int class System(TypedDict): token: str initial_extensions: list[str] class ExperienceSystem(TypedDict): experience_channel: int cooldown: int minimal_message_length: int experience_per_message: list[int] roles: dict[str, int] coins_per_level_up: int class AutoTranslation(TypedDict): channels: list lang: str class Config(TypedDict): guild: int token: str prefixes: list[str] commands_channels: list[int] mute_role: int suggestions_channel: int moderators_roles: list[int] warns_system: list[Warn] coin: str daily: int marry_price: int personal_voice: PersonalVoice experience_system: ExperienceSystem auto_translation: AutoTranslation additional_emoji: AdditionalEmoji class Configurator: def __init__(self) -> None: self.system: System self.config: Config def dump(self): with open("./bot_components/config.json", "w") as write_file: to_dump = [self.system, self.config] json.dump(to_dump, write_file, indent=4) def load(self): with open("./bot_components/config.json", "r") as write_file: data = json.load(write_file) self.system = System(data[0]) self.config = Config(data[1]) def reload(self): self.dump() self.load() configurator = Configurator() configurator.load()

21.202532

69

0.666269

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1,675

5.378109

0.402985

0.029602

0.027752

0.064755

0

0.002372

0.244776

1,675

78

70

21.474359

0.852174

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0

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false

0

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0.779661

0

null

0

null

0

1

0

1

60f8300c3b1d0bfc0e3ab0efad7d54c27160ef0c

1,053

py

Python

2017-2018/lecture-notes/python/02-algorithms_listing_8_contains_word.py

essepuntato/comp-think

3dac317bda0eb7650adc4a92c1ccb8a4ce87a3a6

[ "BSD-2-Clause" ]

19

2017-07-03T11:55:33.000Z

2021-10-17T10:21:24.000Z

2017-2018/lecture-notes/python/02-algorithms_listing_8_contains_word.py

essepuntato/comp-think

3dac317bda0eb7650adc4a92c1ccb8a4ce87a3a6

[ "BSD-2-Clause" ]

1

2017-12-21T10:52:56.000Z

2018-06-06T13:59:13.000Z

2017-2018/lecture-notes/python/02-algorithms_listing_8_contains_word.py

essepuntato/comp-think

3dac317bda0eb7650adc4a92c1ccb8a4ce87a3a6

[ "BSD-2-Clause" ]

4

2017-11-13T09:29:06.000Z

2019-05-09T03:29:49.000Z

def contains_word(first_word, second_word, bibliographic_entry): contains_first_word = first_word in bibliographic_entry contains_second_word = second_word in bibliographic_entry if contains_first_word and contains_second_word: return 2 elif contains_first_word or contains_second_word: return 1 else: return 0 if __name__ == "__main__": bibliographic_entry = "Peroni, S., Osborne, F., Di Iorio, A., Nuzzolese, A. G., Poggi, F., Vitali, F., " \ "Motta, E. (2017). Research Articles in Simplified HTML: a Web-first format for " \ "HTML-based scholarly articles. PeerJ Computer Science 3: e132. e2513. " \ "DOI: https://doi.org/10.7717/peerj-cs.132" print(contains_word("Peroni", "Osborne", bibliographic_entry)) print(contains_word("Peroni", "Asprino", bibliographic_entry)) print(contains_word("Reforgiato", "Osborne", bibliographic_entry)) print(contains_word("Reforgiato", "Asprino", bibliographic_entry))

47.863636

110

0.674264

127

1,053

5.299213

0.456693

0.213967

0.10104

0.138187

0.206538

0

0.02934

0.223172

1,053

21

111

50.142857

0.793399

0

0.055556

0.320988

0

1

0.055556

false

0

0.222222

0

null

1

0

null

0

1

60fe83ebf52b160eaac4df2f49fea7ababebb7f8

1,659

py

Python

esmvalcore/cmor/_fixes/cmip6/cesm2.py

aperezpredictia/ESMValCore

d5bf3f459ff3a43e780d75d57b63b88b6cc8c4f2

[ "Apache-2.0" ]

1

2019-11-28T13:09:42.000Z

esmvalcore/cmor/_fixes/cmip6/cesm2.py

aperezpredictia/ESMValCore

d5bf3f459ff3a43e780d75d57b63b88b6cc8c4f2

[ "Apache-2.0" ]

null

esmvalcore/cmor/_fixes/cmip6/cesm2.py

aperezpredictia/ESMValCore

d5bf3f459ff3a43e780d75d57b63b88b6cc8c4f2

[ "Apache-2.0" ]

1

2019-11-29T00:50:30.000Z

"""Fixes for CESM2 model.""" from ..fix import Fix from ..shared import (add_scalar_depth_coord, add_scalar_height_coord, add_scalar_typeland_coord, add_scalar_typesea_coord) class Fgco2(Fix): """Fixes for fgco2.""" def fix_metadata(self, cubes): """Add depth (0m) coordinate. Parameters ---------- cube : iris.cube.CubeList Returns ------- iris.cube.Cube """ cube = self.get_cube_from_list(cubes) add_scalar_depth_coord(cube) return cubes class Tas(Fix): """Fixes for tas.""" def fix_metadata(self, cubes): """Add height (2m) coordinate. Parameters ---------- cube : iris.cube.CubeList Returns ------- iris.cube.Cube """ cube = self.get_cube_from_list(cubes) add_scalar_height_coord(cube) return cubes class Sftlf(Fix): """Fixes for sftlf.""" def fix_metadata(self, cubes): """Add typeland coordinate. Parameters ---------- cube : iris.cube.CubeList Returns ------- iris.cube.Cube """ cube = self.get_cube_from_list(cubes) add_scalar_typeland_coord(cube) return cubes class Sftof(Fix): """Fixes for sftof.""" def fix_metadata(self, cubes): """Add typesea coordinate. Parameters ---------- cube : iris.cube.CubeList Returns ------- iris.cube.Cube """ cube = self.get_cube_from_list(cubes) add_scalar_typesea_coord(cube) return cubes

20.481481

74

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4.836158

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0

0.004496

0.329717

1,659

80

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20.7375

0.765288

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0.173913

false

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0.608696

0

null

0

null

0

1

0

1

60ff5c6f7092666241901b36f6825248e6f4d160

360

py

Python

api/flat/urls.py

SanjarbekSaminjonov/musofirlar.backend

23b09e90cc4e3d153063ad1768b5ae1c18ff866d

[ "Apache-2.0" ]

1

2021-12-23T12:43:17.000Z

api/flat/urls.py

SanjarbekSaminjonov/musofirlar.backend

23b09e90cc4e3d153063ad1768b5ae1c18ff866d

[ "Apache-2.0" ]

null

api/flat/urls.py

SanjarbekSaminjonov/musofirlar.backend

23b09e90cc4e3d153063ad1768b5ae1c18ff866d

[ "Apache-2.0" ]

null

from django.urls import path from . import views urlpatterns = [ path('', views.FlatListAPIView.as_view()), path('create/', views.FlatCreateAPIView.as_view()), path('<int:pk>/', views.FlatDetailAPIView.as_view()), path('<int:pk>/update/', views.FlatUpdateAPIView.as_view()), path('<int:pk>/delete/', views.FlatDeleteAPIView.as_view()), ]

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null

0

1

0

null

0

1

8804c3b09c4502328bb0532182f3bbfcec72facf

2,171

py

Python

shop/models.py

mohammadanarul/Ecommerce-Django-YT

afecc8f41693925619b81986d979706c64175360

[ "MIT" ]

null

shop/models.py

mohammadanarul/Ecommerce-Django-YT

afecc8f41693925619b81986d979706c64175360

[ "MIT" ]

null

shop/models.py

mohammadanarul/Ecommerce-Django-YT

afecc8f41693925619b81986d979706c64175360

[ "MIT" ]

null

from ctypes.wintypes import CHAR from distutils.command.upload import upload from random import choice from telnetlib import STATUS from unicodedata import category from django.db import models from ckeditor.fields import RichTextField from taggit.managers import TaggableManager # Create your models here. from mptt.models import MPTTModel, TreeForeignKey class Category(MPTTModel): name = models.CharField(max_length=50, unique=True) parent = TreeForeignKey('self', on_delete=models.CASCADE, null=True, blank=True, related_name='children') is_active = models.BooleanField(default=True) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) class MPTTMeta: order_insertion_by = ['name'] class Brand(models.Model): name = models.CharField(max_length=50) is_active = models.BooleanField(default=True) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) class Product(models.Model): STATUS_CHOICES = ( ('NONE', 'NONE'), ('NEW', 'NEW'), ('SALE', 'SALE'), ('HOT', 'HOT'), ) title = models.CharField(max_length=50) price = models.DecimalField(max_digits=5, decimal_places=2) short_description = RichTextField() tags = TaggableManager() description = RichTextField() specification = RichTextField() image = models.ImageField(upload_to='product/') category = models.ForeignKey(Category, on_delete=models.CASCADE) brand = models.ForeignKey(Brand, on_delete=models.CASCADE) stack = models.IntegerField(default=5) status = models.CharField(max_length=5, choices=STATUS_CHOICES, default='NONE') is_fetured = models.BooleanField(default=False) is_special = models.BooleanField(default=False) is_active = models.BooleanField(default=True) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) class ProductImages(models.Model): category = models.ForeignKey(Product, on_delete=models.CASCADE, related_name='images') image = models.ImageField(upload_to='products/')

38.767857

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2,171

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0.875

0

null

0

null

0

1

0

1

8805a00d3b1fcbc6ac9137bed25cfb76407c9dfe

663

py

Python

mirari/TCS/migrations/0042_auto_20190726_0145.py

gcastellan0s/mirariapp

24a9db06d10f96c894d817ef7ccfeec2a25788b7

[ "MIT" ]

null

mirari/TCS/migrations/0042_auto_20190726_0145.py

gcastellan0s/mirariapp

24a9db06d10f96c894d817ef7ccfeec2a25788b7

[ "MIT" ]

18

2019-12-27T19:58:20.000Z

2022-02-27T08:17:49.000Z

mirari/TCS/migrations/0042_auto_20190726_0145.py

gcastellan0s/mirariapp

24a9db06d10f96c894d817ef7ccfeec2a25788b7

[ "MIT" ]

null

# Generated by Django 2.0.5 on 2019-07-26 06:45 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('TCS', '0041_auto_20190726_0030'), ] operations = [ migrations.AlterModelOptions( name='modelo', options={'default_permissions': [], 'ordering': ['-id'], 'permissions': [('Can_View__Modelo', 'Ve modelos'), ('Can_Create__Modelo', 'Crea modelos'), ('Can_Update__Modelo', 'Modifica modelos'), ('Can_Delete__Modelo', 'Elimina modelos'), ('Can_Change__ModelTCS', 'Modifica modelos de equipo')], 'verbose_name': 'Modelo', 'verbose_name_plural': 'Modelos'}, ), ]

36.833333

365

0.653092

72

663

5.708333

0.680556

0.097324

0

0.057301

0.184012

663

17

366

39

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0

1

0

0.464286

0.037338

0

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false

0

0.090909

0

0.363636

0

null

0

1

0

null

0

1

880784410cfda04eacd518622e54861cdb7a1605

6,288

py

Python

manubot/cite/tests/test_citekey_api.py

shuvro-zz/manubot

9023b7fbfa0b235c14a4d702516bc0cd6d3101ed

[ "BSD-3-Clause" ]

1

2019-11-11T05:17:28.000Z

manubot/cite/tests/test_citekey_api.py

shuvro-zz/manubot

9023b7fbfa0b235c14a4d702516bc0cd6d3101ed

[ "BSD-3-Clause" ]

null

manubot/cite/tests/test_citekey_api.py

shuvro-zz/manubot

9023b7fbfa0b235c14a4d702516bc0cd6d3101ed

[ "BSD-3-Clause" ]

null

"""Tests API-level functions in manubot.cite. Both functions are found in citekey.py""" import pytest from manubot.cite import citekey_to_csl_item, standardize_citekey @pytest.mark.parametrize( "citekey,expected", [ ("doi:10.5061/DRYAD.q447c/1", "doi:10.5061/dryad.q447c/1"), ("doi:10.5061/dryad.q447c/1", "doi:10.5061/dryad.q447c/1"), ("doi:10/b6vnmd", "doi:10.1016/s0933-3657(96)00367-3"), ("doi:10/B6VNMD", "doi:10.1016/s0933-3657(96)00367-3"), ( "doi:10/xxxxxxxxxxxxxYY", "doi:10/xxxxxxxxxxxxxyy", ), # passthrough non-existent shortDOI ("pmid:24159271", "pmid:24159271"), ("isbn:1339919885", "isbn:9781339919881"), ("isbn:1-339-91988-5", "isbn:9781339919881"), ("isbn:978-0-387-95069-3", "isbn:9780387950693"), ("isbn:9780387950938", "isbn:9780387950938"), ("isbn:1-55860-510-X", "isbn:9781558605107"), ("isbn:1-55860-510-x", "isbn:9781558605107"), ], ) def test_standardize_citekey(citekey, expected): """ Standardize identifiers based on their source """ output = standardize_citekey(citekey) assert output == expected @pytest.mark.xfail(reason="https://twitter.com/dhimmel/status/950443969313419264") def test_citekey_to_csl_item_doi_datacite(): citekey = "doi:10.7287/peerj.preprints.3100v1" csl_item = citekey_to_csl_item(citekey) assert csl_item["id"] == "11cb5HXoY" assert csl_item["URL"] == "https://doi.org/10.7287/peerj.preprints.3100v1" assert csl_item["DOI"] == "10.7287/peerj.preprints.3100v1" assert csl_item["type"] == "report" assert ( csl_item["title"] == "Sci-Hub provides access to nearly all scholarly literature" ) authors = csl_item["author"] assert authors[0]["family"] == "Himmelstein" assert authors[-1]["family"] == "Greene" def test_citekey_to_csl_item_arxiv(): citekey = "arxiv:cond-mat/0703470v2" csl_item = citekey_to_csl_item(citekey) assert csl_item["id"] == "ES92tcdg" assert csl_item["URL"] == "https://arxiv.org/abs/cond-mat/0703470v2" assert csl_item["number"] == "cond-mat/0703470v2" assert csl_item["version"] == "2" assert csl_item["type"] == "report" assert csl_item["container-title"] == "arXiv" assert csl_item["title"] == "Portraits of Complex Networks" authors = csl_item["author"] assert authors[0]["literal"] == "J. P. Bagrow" assert csl_item["DOI"] == "10.1209/0295-5075/81/68004" def test_citekey_to_csl_item_pmc(): """ https://api.ncbi.nlm.nih.gov/lit/ctxp/v1/pmc/?format=csl&id=3041534 """ citekey = f"pmcid:PMC3041534" csl_item = citekey_to_csl_item(citekey) assert csl_item["id"] == "RoOhUFKU" assert csl_item["URL"] == "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041534/" assert csl_item["container-title-short"] == "Summit Transl Bioinform" assert ( csl_item["title"] == "Secondary Use of EHR: Data Quality Issues and Informatics Opportunities" ) authors = csl_item["author"] assert authors[0]["family"] == "Botsis" assert csl_item["PMID"] == "21347133" assert csl_item["PMCID"] == "PMC3041534" assert "generated by Manubot" in csl_item["note"] assert "standard_id: pmcid:PMC3041534" in csl_item["note"] def test_citekey_to_csl_item_pubmed_1(): """ Generated from XML returned by https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=21347133&rettype=full """ citekey = "pmid:21347133" csl_item = citekey_to_csl_item(citekey) assert csl_item["id"] == "y9ONtSZ9" assert csl_item["type"] == "article-journal" assert csl_item["URL"] == "https://www.ncbi.nlm.nih.gov/pubmed/21347133" assert csl_item["container-title"] == "Summit on translational bioinformatics" assert ( csl_item["title"] == "Secondary Use of EHR: Data Quality Issues and Informatics Opportunities." ) assert csl_item["issued"]["date-parts"] == [[2010, 3, 1]] authors = csl_item["author"] assert authors[0]["given"] == "Taxiarchis" assert authors[0]["family"] == "Botsis" assert csl_item["PMID"] == "21347133" assert csl_item["PMCID"] == "PMC3041534" def test_citekey_to_csl_item_pubmed_2(): """ Generated from XML returned by https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=27094199&rettype=full """ citekey = "pmid:27094199" csl_item = citekey_to_csl_item(citekey) print(csl_item) assert csl_item["id"] == "alaFV9OY" assert csl_item["type"] == "article-journal" assert csl_item["URL"] == "https://www.ncbi.nlm.nih.gov/pubmed/27094199" assert csl_item["container-title"] == "Circulation. Cardiovascular genetics" assert csl_item["container-title-short"] == "Circ Cardiovasc Genet" assert csl_item["page"] == "179-84" assert ( csl_item["title"] == "Genetic Association-Guided Analysis of Gene Networks for the Study of Complex Traits." ) assert csl_item["issued"]["date-parts"] == [[2016, 4]] authors = csl_item["author"] assert authors[0]["given"] == "Casey S" assert authors[0]["family"] == "Greene" assert csl_item["PMID"] == "27094199" assert csl_item["DOI"] == "10.1161/circgenetics.115.001181" def test_citekey_to_csl_item_pubmed_with_numeric_month(): """ Generated from XML returned by https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=29028984&rettype=full See https://github.com/manubot/manubot/issues/69 """ citekey = "pmid:29028984" csl_item = citekey_to_csl_item(citekey) print(csl_item) assert csl_item["issued"]["date-parts"] == [[2018, 3, 15]] def test_citekey_to_csl_item_pubmed_book(): """ Extracting CSL metadata from books in PubMed is not supported. Logic not implemented to parse XML returned by https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=29227604&rettype=full """ with pytest.raises(NotImplementedError): citekey_to_csl_item("pmid:29227604") def test_citekey_to_csl_item_isbn(): csl_item = citekey_to_csl_item("isbn:9780387950693") assert csl_item["type"] == "book" assert csl_item["title"] == "Complex analysis"

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0.042373

0

null

0

null

0

1

0

1

880bba102de2d9226a037a90ff3d98814009f0c2

2,549

py

Python

pyspectator/collection.py

maximilionus/pyspectator-x

1265f1f39e7ca0534f9e6ffcd7087f2ebced3397

[ "BSD-3-Clause" ]

39

2017-02-27T15:21:21.000Z

2021-12-31T03:23:43.000Z

pyspectator/collection.py

maximilionus/pyspectator-x

1265f1f39e7ca0534f9e6ffcd7087f2ebced3397

[ "BSD-3-Clause" ]

18

2017-07-09T00:16:28.000Z

2021-12-03T21:01:38.000Z

pyspectator/collection.py

maximilionus/pyspectator-x

1265f1f39e7ca0534f9e6ffcd7087f2ebced3397

[ "BSD-3-Clause" ]

25

2017-03-05T07:59:34.000Z

2021-12-15T15:22:58.000Z

from collections import MutableMapping, Container from datetime import datetime, timedelta from pyvalid import accepts class LimitedTimeTable(MutableMapping, Container): def __init__(self, time_span): self.__storage = dict() self.__time_span = None self.time_span = time_span @property def time_span(self): return self.__time_span @time_span.setter @accepts(object, timedelta) def time_span(self, value): self.__time_span = value @property def oldest(self): value = None if self.__len__() > 0: value = min(self.__storage.keys()) return value @property def newest(self): value = None if self.__len__() > 0: value = max(self.__storage.keys()) return value def oldest_keys(self, size): for key in self.__get_slice(0, size): yield key def oldest_values(self, size): for key in self.oldest_keys(size): yield self.__storage.get(key) def oldest_items(self, size): for key in self.oldest_keys(size): yield (key, self.__storage.get(key)) def newest_keys(self, size): for key in self.__get_slice(-size, None): yield key def newest_values(self, size): for key in self.newest_keys(size): yield self.__storage.get(key) def newest_items(self, size): for key in self.newest_keys(size): yield (key, self.__storage.get(key)) def __get_slice(self, start, end): keys = sorted(self.keys()) return keys[start:end] def __getitem__(self, item): return self.__storage.__getitem__(item) @accepts(object, datetime, object) def __setitem__(self, key, value): now = datetime.now() if key > now: raise ValueError('Can\'t set item from future!') oldest = self.oldest if (oldest is not None) and (oldest != key): longest_time_span = now - oldest # Item is too old for current timetable if longest_time_span >= self.time_span: self.__delitem__(oldest) return self.__storage.__setitem__(key, value) def __delitem__(self, key): return self.__storage.__delitem__(key) def __len__(self): return self.__storage.__len__() def __iter__(self): return self.__storage.__iter__() def __contains__(self, item): return self.__storage.__contains__(item) __all__ = ['LimitedTimeTable']

27.117021

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0

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2,549

93

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false

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0.085714

0.457143

0

null

0

null

0

1

0

1

714e6f1bdf4058bf187b53f8c773baa127319b6d

546

py

Python

streams/blog/migrations/0012_auto_20200928_1212.py

Engerrs/ckan.org

a5a9b63b0ca16cb5aa4f709f7a264b8f6c265158

[ "BSD-3-Clause" ]

1

2022-03-18T03:20:00.000Z

streams/blog/migrations/0012_auto_20200928_1212.py

Engerrs/ckan.org

a5a9b63b0ca16cb5aa4f709f7a264b8f6c265158

[ "BSD-3-Clause" ]

26

2021-07-07T08:42:42.000Z

2022-03-29T14:34:59.000Z

streams/blog/migrations/0012_auto_20200928_1212.py

Engerrs/ckan.org

a5a9b63b0ca16cb5aa4f709f7a264b8f6c265158

[ "BSD-3-Clause" ]

3

2021-07-07T22:11:03.000Z

2021-09-15T18:19:10.000Z

# Generated by Django 3.1.1 on 2020-09-28 12:12 import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('blog', '0011_blogpostpage_featured'), ] operations = [ migrations.RemoveField( model_name='blogpostpage', name='date', ), migrations.AddField( model_name='blogpostpage', name='created', field=models.DateTimeField(blank=True, default=datetime.datetime.now), ), ]

22.75

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0.600733

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546

6.113208

0.679245

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0.12963

0.154321

0

0.048969

0.289377

546

23

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false

0

0.117647

0

0.294118

0

null

0

1

0

null

0

1

714ebaf58f896dbaa65742bb16b60c72d8438768

252

py

Python

create_read_write_1/Writing/to_csv.py

CodeXfull/Pandas

08b0adc28eedba47f6eb8303ba6a36a37ababb92

[ "MIT" ]

null

create_read_write_1/Writing/to_csv.py

CodeXfull/Pandas

08b0adc28eedba47f6eb8303ba6a36a37ababb92

[ "MIT" ]

null

create_read_write_1/Writing/to_csv.py

CodeXfull/Pandas

08b0adc28eedba47f6eb8303ba6a36a37ababb92

[ "MIT" ]

null

""" Converter um DataFrame para CSV """ import pandas as pd dataset = pd.DataFrame({'Frutas': ["Abacaxi", "Mamão"], "Nomes": ["Éverton", "Márcia"]}, index=["Linha 1", "Linha 2"]) dataset.to_csv("dataset.csv")

25.2

55

0.543651

28

252

4.857143

0.75

0

0.010811

0.265873

252

10

56

25.2

0.724324

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0.285047

0

1

0

false

0

0.2

0

0.2

0

1

0

null

0

null

0

1

714f78bb4bb01676183ee7d2b3639573c3d0ac56

712

py

Python

test/manual/documents/test_iter_documents.py

membranepotential/mendeley-python-sdk

0336f0164f4d409309e813cbd0140011b5b2ff8f

[ "Apache-2.0" ]

103

2015-01-12T00:40:51.000Z

2022-03-29T07:02:06.000Z

test/manual/documents/test_iter_documents.py

membranepotential/mendeley-python-sdk

0336f0164f4d409309e813cbd0140011b5b2ff8f

[ "Apache-2.0" ]

26

2015-01-10T04:08:41.000Z

2021-02-05T16:31:37.000Z

test/manual/documents/test_iter_documents.py

membranepotential/mendeley-python-sdk

0336f0164f4d409309e813cbd0140011b5b2ff8f

[ "Apache-2.0" ]

43

2015-03-04T18:11:06.000Z

2022-03-13T02:33:34.000Z

from itertools import islice from test import get_user_session, cassette from test.resources.documents import delete_all_documents, create_document def test_should_iterate_through_documents(): session = get_user_session() delete_all_documents() with cassette('fixtures/resources/documents/iter_documents/iterate_through_documents.yaml'): create_document(session, 'title 1') create_document(session, 'title 2') create_document(session, 'title 3') docs = list(islice(session.documents.iter(page_size=2), 3)) assert len(docs) == 3 assert docs[0].title == 'title 1' assert docs[1].title == 'title 2' assert docs[2].title == 'title 3'

32.363636

96

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712

5.25

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0.161491

0

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712

21

97

33.904762

0.817708

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1

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false

0

0.2

0

0.266667

0

null

0

1

0

null

0

1

715027948c136a1c6e6c296495419c7112dea3be

1,929

py

Python

test_project/settings.py

incuna/incuna-groups

148c181faf66fe73792cb2c5bbf5500ba61aa22d

[ "BSD-2-Clause" ]

1

2017-09-29T23:58:02.000Z

test_project/settings.py

incuna/incuna-groups

148c181faf66fe73792cb2c5bbf5500ba61aa22d

[ "BSD-2-Clause" ]

51

2015-03-30T08:58:15.000Z

2022-01-13T00:40:17.000Z

test_project/settings.py

incuna/incuna-groups

148c181faf66fe73792cb2c5bbf5500ba61aa22d

[ "BSD-2-Clause" ]

null

import os import dj_database_url BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) DEBUG = True ALLOWED_HOSTS = [] ROOT_URLCONF = 'groups.tests.urls' STATIC_URL = '/static/' SECRET_KEY = 'krc34ji^-fd-=+r6e%p!0u0k9h$9!q*_#l=6)74h#o(jrxsx4p' PASSWORD_HASHERS = ('django.contrib.auth.hashers.MD5PasswordHasher',) DATABASES = { 'default': dj_database_url.config(default='postgres://localhost/groups') } DEFAULT_FILE_STORAGE = 'inmemorystorage.InMemoryStorage' INSTALLED_APPS = ( 'groups', 'crispy_forms', 'pagination', 'polymorphic', # Put contenttypes before auth to work around test issue. # See: https://code.djangoproject.com/ticket/10827#comment:12 'django.contrib.contenttypes', 'django.contrib.auth', 'django.contrib.admin', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ) MIDDLEWARE_CLASSES = ( 'django.contrib.sessions.middleware.SessionMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', ) TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [ os.path.join(BASE_DIR, 'groups', 'tests', 'templates') ], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.contrib.auth.context_processors.auth', 'django.template.context_processors.debug', 'django.template.context_processors.i18n', 'django.template.context_processors.media', 'django.template.context_processors.request', 'django.template.context_processors.static', 'django.template.context_processors.tz', 'django.contrib.messages.context_processors.messages', ], }, }, ] CRISPY_TEMPLATE_PACK = 'bootstrap3' TEST_RUNNER = 'test_project.test_runner.Runner'

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0

null

0

1

null

0

1

71548039cb810f86d8a1fe4c36b02cd515b16949

558

py

Python

ble.py

Ladvien/esp32_upython_env

8b0feab940efd3feff16220473e1b5b27d679a56

[ "MIT" ]

null

ble.py

Ladvien/esp32_upython_env

8b0feab940efd3feff16220473e1b5b27d679a56

[ "MIT" ]

null

ble.py

Ladvien/esp32_upython_env

8b0feab940efd3feff16220473e1b5b27d679a56

[ "MIT" ]

null

import bluetooth import time bt = bluetooth.BLE() # singleton bt.active(True) # activate BT stack UART_UUID = bluetooth.UUID('6E400001-B5A3-F393-E0A9-E50E24DCCA9E') UART_TX = (bluetooth.UUID('6E400003-B5A3-F393-E0A9-E50E24DCCA9E'), bluetooth.FLAG_READ | bluetooth.FLAG_NOTIFY,) UART_RX = (bluetooth.UUID('6E400002-B5A3-F393-E0A9-E50E24DCCA9E'), bluetooth.FLAG_WRITE,) UART_SERVICE = (UART_UUID, (UART_TX, UART_RX,),) SERVICES = (UART_SERVICE,) ( (tx, rx,), ) = bt.gatts_register_services(SERVICES) bt.gap_advertise(100)

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0.093264

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1

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null

0

1

715562602b941a7d39f1c3b9c3f9ed3ae5bab180

952

py

Python

examples/custom-generator/customer.py

luxbe/sledo

26aa2b59b11ea115afc25bb407602578cb342170

[ "MIT" ]

4

2021-12-13T17:52:52.000Z

2021-12-28T09:40:52.000Z

examples/custom-generator/customer.py

luxbe/sledo

26aa2b59b11ea115afc25bb407602578cb342170

[ "MIT" ]

null

examples/custom-generator/customer.py

luxbe/sledo

26aa2b59b11ea115afc25bb407602578cb342170

[ "MIT" ]

null

from random import randint from sledo.generate.field_generators.base import FieldGenerator values = ("Austria", "Belgium", "Bulgaria", "Croatia", "Cyprus", "Czech Republic", "Denmark", "Estonia", "Finland", "France", "Germany", "Greece", "Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg", "Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia", "Slovenia", "Spain", "Sweden", "United States", "Japan", "United Kingdom", "Bangladesh", "Argentina", "China") count = len(values) - 1 class CustomerAddressGenerator(FieldGenerator): def generate(self, **_): return values[randint(0, count)]

21.636364

63

0.456933

64

952

6.765625

0.859375

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0.003591

0.414916

952

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0

null

0

1

0

null

0

1

715d6a83862066d08f507e36bb0ef91281fb5c5f

4,977

py

Python

tests/test_cecum.py

hsorby/scaffoldmaker

5e3b4531665dbc465b53acc1662f8d9bbb9dc1e1

[ "Apache-2.0" ]

null

tests/test_cecum.py

hsorby/scaffoldmaker

5e3b4531665dbc465b53acc1662f8d9bbb9dc1e1

[ "Apache-2.0" ]

38

2018-04-04T10:40:26.000Z

2022-03-14T22:02:26.000Z

tests/test_cecum.py

hsorby/scaffoldmaker

5e3b4531665dbc465b53acc1662f8d9bbb9dc1e1

[ "Apache-2.0" ]

28

2018-03-11T19:31:35.000Z

2022-02-03T23:14:21.000Z

import unittest from opencmiss.utils.zinc.finiteelement import evaluateFieldNodesetRange from opencmiss.utils.zinc.general import ChangeManager from opencmiss.zinc.context import Context from opencmiss.zinc.element import Element from opencmiss.zinc.field import Field from opencmiss.zinc.result import RESULT_OK from scaffoldmaker.meshtypes.meshtype_3d_cecum1 import MeshType_3d_cecum1 from scaffoldmaker.utils.zinc_utils import createFaceMeshGroupExteriorOnFace from testutils import assertAlmostEqualList class CecumScaffoldTestCase(unittest.TestCase): def test_cecum1(self): """ Test creation of cecum scaffold. """ parameterSetNames = MeshType_3d_cecum1.getParameterSetNames() self.assertEqual(parameterSetNames, ["Default", "Pig 1"]) options = MeshType_3d_cecum1.getDefaultOptions("Pig 1") self.assertEqual(30, len(options)) self.assertEqual(5, options.get("Number of segments")) self.assertEqual(2, options.get("Number of elements around tenia coli")) self.assertEqual(8, options.get("Number of elements along segment")) self.assertEqual(1, options.get("Number of elements through wall")) self.assertEqual(35.0, options.get("Start inner radius")) self.assertEqual(3.0, options.get("Start inner radius derivative")) self.assertEqual(38.0, options.get("End inner radius")) self.assertEqual(3.0, options.get("End inner radius derivative")) self.assertEqual(0.5, options.get("Corner inner radius factor")) self.assertEqual(0.25, options.get("Haustrum inner radius factor")) self.assertEqual(4.0, options.get("Segment length mid derivative factor")) self.assertEqual(3, options.get("Number of tenia coli")) self.assertEqual(5.0, options.get("Start tenia coli width")) self.assertEqual(0.0, options.get("End tenia coli width derivative")) self.assertEqual(2.0, options.get("Wall thickness")) ostiumOptions = options['Ileocecal junction'] ostiumSettings = ostiumOptions.getScaffoldSettings() self.assertEqual(1, ostiumSettings.get("Number of vessels")) self.assertEqual(8, ostiumSettings.get("Number of elements around ostium")) self.assertEqual(1, ostiumSettings.get("Number of elements through wall")) self.assertEqual(20.0, ostiumSettings.get("Ostium diameter")) self.assertEqual(10.0, ostiumSettings.get("Vessel inner diameter")) self.assertEqual(60, options.get("Ileocecal junction angular position degrees")) self.assertEqual(0.5, options.get("Ileocecal junction position along factor")) context = Context("Test") region = context.getDefaultRegion() self.assertTrue(region.isValid()) annotationGroups = MeshType_3d_cecum1.generateBaseMesh(region, options) self.assertEqual(2, len(annotationGroups)) fieldmodule = region.getFieldmodule() self.assertEqual(RESULT_OK, fieldmodule.defineAllFaces()) mesh3d = fieldmodule.findMeshByDimension(3) self.assertEqual(1492, mesh3d.getSize()) mesh2d = fieldmodule.findMeshByDimension(2) self.assertEqual(5617, mesh2d.getSize()) mesh1d = fieldmodule.findMeshByDimension(1) self.assertEqual(6767, mesh1d.getSize()) nodes = fieldmodule.findNodesetByFieldDomainType(Field.DOMAIN_TYPE_NODES) self.assertEqual(2642, nodes.getSize()) datapoints = fieldmodule.findNodesetByFieldDomainType(Field.DOMAIN_TYPE_DATAPOINTS) self.assertEqual(0, datapoints.getSize()) coordinates = fieldmodule.findFieldByName("coordinates").castFiniteElement() self.assertTrue(coordinates.isValid()) minimums, maximums = evaluateFieldNodesetRange(coordinates, nodes) assertAlmostEqualList(self, minimums, [-49.01658984455258, -46.89686037622053, -2.343256155753525], 1.0E-6) assertAlmostEqualList(self, maximums, [42.18085849205387, 54.89264119402881, 180.0], 1.0E-6) with ChangeManager(fieldmodule): one = fieldmodule.createFieldConstant(1.0) faceMeshGroup = createFaceMeshGroupExteriorOnFace(fieldmodule, Element.FACE_TYPE_XI3_1) surfaceAreaField = fieldmodule.createFieldMeshIntegral(one, coordinates, faceMeshGroup) surfaceAreaField.setNumbersOfPoints(4) volumeField = fieldmodule.createFieldMeshIntegral(one, coordinates, mesh3d) volumeField.setNumbersOfPoints(3) fieldcache = fieldmodule.createFieldcache() result, surfaceArea = surfaceAreaField.evaluateReal(fieldcache, 1) self.assertEqual(result, RESULT_OK) self.assertAlmostEqual(surfaceArea, 65960.20655074248, delta=1.0E-6) result, volume = volumeField.evaluateReal(fieldcache, 1) self.assertEqual(result, RESULT_OK) self.assertAlmostEqual(volume, 127905.28250502056, delta=1.0E-6) if __name__ == "__main__": unittest.main()

53.516129

115

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4,977

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0.296724

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0.024657

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0.153846

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null

0

null

0

1

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1

716192be9eb9b6903ed659ac040571121cd26498

344

py

Python

muni_portal/core/migrations/0030_remove_servicerequest_mobile_reference.py

desafinadude/muni-portal-backend

9ffc447194b8f29619585cd919f67d62062457a3

[ "MIT" ]

1

2021-01-18T13:01:04.000Z

muni_portal/core/migrations/0030_remove_servicerequest_mobile_reference.py

desafinadude/muni-portal-backend

9ffc447194b8f29619585cd919f67d62062457a3

[ "MIT" ]

42

2020-08-29T08:55:53.000Z

2021-04-14T16:41:29.000Z

muni_portal/core/migrations/0030_remove_servicerequest_mobile_reference.py

desafinadude/muni-portal-backend

9ffc447194b8f29619585cd919f67d62062457a3

[ "MIT" ]

2

2020-10-28T16:34:41.000Z

2022-02-07T10:29:31.000Z

# Generated by Django 2.2.10 on 2021-02-24 09:42 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('core', '0029_auto_20210224_0936'), ] operations = [ migrations.RemoveField( model_name='servicerequest', name='mobile_reference', ), ]

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0.363636

0

null

0

1

0

null

0

1

7169f3d04044834201fc8a2b35d915d5a016859d

1,283

py

Python

dnd/mobile/urls.py

dndtools2/dndtools2

6bd794349b84f3018dd0bd12712535924557c166

[ "MIT" ]

null

dnd/mobile/urls.py

dndtools2/dndtools2

6bd794349b84f3018dd0bd12712535924557c166

[ "MIT" ]

null

dnd/mobile/urls.py

dndtools2/dndtools2

6bd794349b84f3018dd0bd12712535924557c166

[ "MIT" ]

null

from django.conf.urls import patterns, url, include from .views import force_desktop_version, return_to_mobile_version app_name = 'mobile' urlpatterns = [ # force desktop url(r'^force-desktop-version/$', force_desktop_version, name='force_desktop_version'), # return to mobile version url(r'^return-to-mobile-version/$', return_to_mobile_version, name='return_to_mobile_version'), # index url(r'^', include('dnd.mobile.index.urls')), # character classes url(r'^classes/', include('dnd.mobile.character_classes.urls')), # feats url(r'^feats/', include('dnd.mobile.feats.urls')), # items url(r'^items/', include('dnd.mobile.items.urls')), # languages url(r'^languages/', include('dnd.mobile.languages.urls')), # monsters url(r'^monsters/', include('dnd.mobile.monsters.urls')), # races url(r'^races/', include('dnd.mobile.races.urls')), # rulebooks url(r'^rulebooks/', include('dnd.mobile.rulebooks.urls')), # rules url(r'^rules/', include('dnd.mobile.rules.urls')), # skills url(r'^skills/', include('dnd.mobile.skills.urls')), # spells url(r'^spells/', include('dnd.mobile.spells.urls')), # deities url(r'^deities/', include('dnd.mobile.deities.urls')), ]

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1,283

48

100

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false

0

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0

0.105263

0

null

0

1

0

null

0

1

717a53af9750d33e9be1b7de3f152d83339bf874

969

py

Python

tests/gejun_sum.py

jeffzhengye/pylearn

a140d0fca8a371faada194cb0126192675cc2045

[ "Unlicense" ]

2

2016-02-17T06:00:35.000Z

2020-11-23T13:34:00.000Z

tests/gejun_sum.py

jeffzhengye/pylearn

a140d0fca8a371faada194cb0126192675cc2045

[ "Unlicense" ]

null

tests/gejun_sum.py

jeffzhengye/pylearn

a140d0fca8a371faada194cb0126192675cc2045

[ "Unlicense" ]

null

__author__ = 'jeffye' def sum_consecutives(s): i = 1 li = [] if i < len(s): n = 1 while s[i] != s[i + 1] and s[i] != s[i - 1]: sum = s[i] i = i + 1 return sum while s[i] == s[i + 1]: n = n + 1 sum = s[i] * n i = i + 1 return sum li.append(sum) return li def sum_consecutives_corrected(s): start = 0 li = [] n = 1 while start < len(s): if start == len(s) - 1: # last element li.append(s[start]) break elif s[start] == s[start + n]: # equal, just record the length n += 1 else: # first not equal, sum all previous equal elements and append to li li.append(sum(s[start: start + n])) start += n n = 1 return li if __name__ == '__main__': test_li = [-5, -5, 7, 7, 12, 0] # should return [-10,14,12,0] print sum_consecutives_corrected(test_li)

20.617021

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969

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null

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null

0

null

0

1

0

1

71866e54c9be9ceced231705351ad07d4dec3246

244

py

Python

src/tests/test_app_db.py

kazqvaizer/arq-sqlalchemy-boilerplate

c14596ed358a061e6eb2a380f4bd962242b123f3

[ "MIT" ]

6

2021-12-20T14:49:14.000Z

2022-03-21T14:32:49.000Z

src/tests/test_app_db.py

kazqvaizer/arq-sqlalchemy-boilerplate

c14596ed358a061e6eb2a380f4bd962242b123f3

[ "MIT" ]

null

src/tests/test_app_db.py

kazqvaizer/arq-sqlalchemy-boilerplate

c14596ed358a061e6eb2a380f4bd962242b123f3

[ "MIT" ]

null

import pytest from app.db import session_scope pytestmark = pytest.mark.asyncio async def test_engine_configured(env): async with session_scope() as session: assert str(session.bind.engine.url) == env("SQLALCHEMY_DATABASE_URI")

22.181818

77

0.762295

34

244

5.294118

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0.151639

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0.333333

0

null

0

null

0

1

0

1

718e41b1051f8c81e49363a47885bbfedb81564d

2,027

py

Python

external/model-preparation-algorithm/tests/conftest.py

opencv/openvino_training_extensions

f5d809741e192a2345558efc75899a475019cf98

[ "Apache-2.0" ]

775

2019-03-01T02:13:33.000Z

2020-09-07T22:49:15.000Z

external/model-preparation-algorithm/tests/conftest.py

opencv/openvino_training_extensions

f5d809741e192a2345558efc75899a475019cf98

[ "Apache-2.0" ]

229

2019-02-28T21:37:08.000Z

2020-09-07T15:11:49.000Z

external/model-preparation-algorithm/tests/conftest.py

opencv/openvino_training_extensions

f5d809741e192a2345558efc75899a475019cf98

[ "Apache-2.0" ]

290

2019-02-28T20:32:11.000Z

2020-09-07T05:51:41.000Z

# Copyright (C) 2022 Intel Corporation # SPDX-License-Identifier: Apache-2.0 # try: import e2e.fixtures from e2e.conftest_utils import * # noqa from e2e.conftest_utils import pytest_addoption as _e2e_pytest_addoption # noqa from e2e import config # noqa from e2e.utils import get_plugins_from_packages pytest_plugins = get_plugins_from_packages([e2e]) except ImportError: _e2e_pytest_addoption = None pass import config import pytest from ote_sdk.test_suite.pytest_insertions import * from ote_sdk.test_suite.training_tests_common import REALLIFE_USECASE_CONSTANT pytest_plugins = get_pytest_plugins_from_ote() ote_conftest_insertion(default_repository_name='ote/training_extensions/external/model-preparation-algorithm') @pytest.fixture def ote_test_domain_fx(): return 'model-preparation-algorithm' @pytest.fixture def ote_test_scenario_fx(current_test_parameters_fx): assert isinstance(current_test_parameters_fx, dict) if current_test_parameters_fx.get('usecase') == REALLIFE_USECASE_CONSTANT: return 'performance' else: return 'integration' @pytest.fixture(scope='session') def ote_templates_root_dir_fx(): import os.path as osp import logging logger = logging.getLogger(__name__) root = osp.dirname(osp.dirname(osp.realpath(__file__))) root = f'{root}/configs/' logger.debug(f'overloaded ote_templates_root_dir_fx: return {root}') return root @pytest.fixture(scope='session') def ote_reference_root_dir_fx(): import os.path as osp import logging logger = logging.getLogger(__name__) root = osp.dirname(osp.dirname(osp.realpath(__file__))) root = f'{root}/tests/reference/' logger.debug(f'overloaded ote_reference_root_dir_fx: return {root}') return root # pytest magic def pytest_generate_tests(metafunc): ote_pytest_generate_tests_insertion(metafunc) def pytest_addoption(parser): ote_pytest_addoption_insertion(parser)

32.174603

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0.520833

0

null

0

null

0

1

0

1

7195924eb07d641386ea892a9ee9a4835feb2275

11,102

py

Python

gym_flock/envs/old/flocking_position.py

katetolstaya/gym-flock

3236d1dafcb1b9be0cf78b471672e8becb2d37af

[ "MIT" ]

19

2019-07-29T22:19:58.000Z

2022-01-27T04:38:38.000Z

gym_flock/envs/old/flocking_position.py

henghenghahei849/gym-flock

b09bdfbbe4a96fe052958d1f9e1e9dd314f58419

[ "MIT" ]

null

gym_flock/envs/old/flocking_position.py

henghenghahei849/gym-flock

b09bdfbbe4a96fe052958d1f9e1e9dd314f58419

[ "MIT" ]

5

2019-10-03T14:44:49.000Z

2021-12-09T20:39:39.000Z

import gym from gym import spaces, error, utils from gym.utils import seeding import numpy as np from scipy.spatial.distance import pdist, squareform import configparser from os import path import matplotlib.pyplot as plt from matplotlib.pyplot import gca font = {'family' : 'sans-serif', 'weight' : 'bold', 'size' : 14} class FlockingEnv(gym.Env): def __init__(self): config_file = path.join(path.dirname(__file__), "params_flock.cfg") config = configparser.ConfigParser() config.read(config_file) config = config['flock'] self.fig = None self.line1 = None self.filter_len = int(config['filter_length']) self.nx_system = 4 self.n_nodes = int(config['network_size']) self.comm_radius = float(config['comm_radius']) self.dt = float(config['system_dt']) self.v_max = float(config['max_vel_init']) self.v_bias = self.v_max # 0.5 * self.v_max self.r_max = float(config['max_rad_init']) self.std_dev = float(config['std_dev']) * self.dt self.pooling = [] if config.getboolean('sum_pooling'): self.pooling.append(np.nansum) if config.getboolean('min_pooling'): self.pooling.append(np.nanmin) if config.getboolean('max_pooling'): self.pooling.append(np.nanmax) self.n_pools = len(self.pooling) # number of features and outputs self.n_features = int(config['N_features']) self.nx = int(self.n_features / self.n_pools / self.filter_len) self.nu = int(config['N_outputs']) # outputs self.x_agg = np.zeros((self.n_nodes, self.nx * self.filter_len, self.n_pools)) self.x = np.zeros((self.n_nodes, self.nx_system)) self.u = np.zeros((self.n_nodes, self.nu)) self.mean_vel = np.zeros((self.n_nodes, self.nu)) # TODO self.max_accel = 40 self.max_z = 200 # self.b = np.ones((self.n_nodes,1)) # self.action_space = spaces.Box(low=-self.max_accel, high=self.max_accel, shape=(self.n_nodes, 2), dtype=np.float32 ) # self.observation_space = spaces.Box(low=-self.max_z, high=self.max_z, shape=( # self.n_nodes, self.nx * self.filter_len * self.n_pools) , dtype=np.float32) self.action_space = spaces.Box(low=-self.max_accel, high=self.max_accel, shape=(2,) , dtype=np.float32 ) self.observation_space = spaces.Box(low=-self.max_z, high=self.max_z, shape=(self.n_features, ), dtype=np.float32) self.seed() def render(self, mode='human'): if self.fig is None: plt.ion() fig = plt.figure() ax = fig.add_subplot(111) line1, = ax.plot(self.x[:, 0], self.x[:, 1], 'bo') # Returns a tuple of line objects, thus the comma ax.plot([0], [0], 'kx') plt.ylim(-1.0 * self.r_max, 1.0 * self.r_max) plt.xlim(-1.0 * self.r_max, 1.0 * self.r_max) a = gca() a.set_xticklabels(a.get_xticks(), font) a.set_yticklabels(a.get_yticks(), font) plt.title('GNN Controller') self.fig = fig self.line1 = line1 self.line1.set_xdata(self.x[:, 0]) self.line1.set_ydata(self.x[:, 1]) self.fig.canvas.draw() self.fig.canvas.flush_events() def seed(self, seed=None): self.np_random, seed = seeding.np_random(seed) return [seed] def step(self, u): x = self.x x_ = np.zeros((self.n_nodes, self.nx_system)) #u = np.vstack((np.zeros((self.n_leaders, 2)), u)) # x position x_[:, 0] = x[:, 0] + x[:, 2] * self.dt # y position x_[:, 1] = x[:, 1] + x[:, 3] * self.dt # x velocity x_[:, 2] = x[:, 2] + 0.1 * u[:, 0] * self.dt + np.random.normal(0, self.std_dev,(self.n_nodes,)) # y velocity x_[:, 3] = x[:, 3] + 0.1 * u[:, 1] * self.dt + np.random.normal(0, self.std_dev,(self.n_nodes,)) # TODO - check the 0.1 self.x = x_ self.x_agg = self.aggregate(self.x, self.x_agg) self.u = u return self._get_obs(), -self.instant_cost(), False, {} def instant_cost(self): # sum of differences in velocities return np.sum(np.var(self.x[:, 2:4], axis=0)) #+ np.sum(np.square(self.u)) * 0.00001 #return np.sum(np.square(self.x[:,2:4] - self.mean_vel)) def _get_obs(self): reshaped = self.x_agg.reshape((self.n_nodes, self.n_features)) clipped = np.clip(reshaped, a_min=-self.max_z, a_max=self.max_z) return clipped #[self.n_leaders:, :] def reset(self): x = np.zeros((self.n_nodes, self.nx_system)) degree = 0 min_dist = 0 while degree < 2 or min_dist < 0.1: # < 0.25: # 0.25: #0.5: #min_dist < 0.25: # randomly initialize the state of all agents length = np.sqrt(np.random.uniform(0, self.r_max, size=(self.n_nodes,))) angle = np.pi * np.random.uniform(0, 2, size=(self.n_nodes,)) x[:, 0] = length * np.cos(angle) x[:, 1] = length * np.sin(angle) bias = np.random.uniform(low=-self.v_bias, high=self.v_bias, size=(2,)) x[:, 2] = np.random.uniform(low=-self.v_max, high=self.v_max, size=(self.n_nodes,)) + bias[0] x[:, 3] = np.random.uniform(low=-self.v_max, high=self.v_max, size=(self.n_nodes,)) + bias[1] # compute distances between agents x_t_loc = x[:, 0:2] # x,y location determines connectivity a_net = squareform(pdist(x_t_loc.reshape((self.n_nodes, 2)), 'euclidean')) # no self loops a_net = a_net + 2 * self.comm_radius * np.eye(self.n_nodes) # compute minimum distance between agents and degree of network min_dist = np.min(np.min(a_net)) a_net = a_net < self.comm_radius degree = np.min(np.sum(a_net.astype(int), axis=1)) self.mean_vel = np.mean(x[:,2:4],axis=0) self.x = x self.x_agg = np.zeros((self.n_nodes, self.nx * self.filter_len, self.n_pools)) self.x_agg = self.aggregate(self.x, self.x_agg) return self._get_obs() # def render(self, mode='human'): # pass def close(self): pass def aggregate(self, xt, x_agg): """ Perform aggegration operation for all possible pooling operations using helper functions get_pool and get_comms Args: x_agg (): Last time step's aggregated info xt (): Current state of all agents Returns: Aggregated state values """ x_features = self.get_x_features(xt) a_net = self.get_connectivity(xt) for k in range(0, self.n_pools): comm_data = self.get_comms(np.dstack((x_features, self.get_features(x_agg[:, :, k]))), a_net) x_agg[:, :, k] = self.get_pool(comm_data, self.pooling[k]) return x_agg def get_connectivity(self, x): """ Get the adjacency matrix of the network based on agent locations by computing pairwise distances using pdist Args: x (): current states of all agents Returns: adjacency matrix of network """ x_t_loc = x[:, 0:2] # x,y location determines connectivity a_net = squareform(pdist(x_t_loc.reshape((self.n_nodes, 2)), 'euclidean')) a_net = (a_net < self.comm_radius).astype(float) np.fill_diagonal(a_net, 0) return a_net def get_x_features(self, xt): # TODO """ Compute the non-linear features necessary for implementing Turner 2003 Args: xt (): current state of all agents Returns: matrix of features for each agent """ diff = xt.reshape((self.n_nodes, 1, self.nx_system)) - xt.reshape((1, self.n_nodes, self.nx_system)) r2 = np.multiply(diff[:, :, 0], diff[:, :, 0]) + np.multiply(diff[:, :, 1], diff[:, :, 1]) + np.eye( self.n_nodes) return np.dstack((diff[:, :, 2], np.divide(diff[:, :, 0], np.multiply(r2, r2)), np.divide(diff[:, :, 0], r2), diff[:, :, 3], np.divide(diff[:, :, 1], np.multiply(r2, r2)), np.divide(diff[:, :, 1], r2))) def get_features(self, agg): """ Matrix of Args: agg (): the aggregated matrix from the last time step Returns: matrix of aggregated features from all nodes at current time """ return np.tile(agg[:, :-self.nx].reshape((self.n_nodes, 1, -1)), (1, self.n_nodes, 1)) # TODO check indexing def get_comms(self, mat, a_net): """ Enforces that agents who are not connected in the network cannot observe each others' states Args: mat (): matrix of state information for the whole graph a_net (): adjacency matrix for flock network (weighted networks unsupported for now) Returns: mat (): sparse matrix with NaN values where agents can't communicate """ a_net[a_net == 0] = np.nan return mat * a_net.reshape(self.n_nodes, self.n_nodes, 1) def get_pool(self, mat, func): """ Perform pooling operations on the matrix of state information. The replacement of values with NaNs for agents who can't communicate must already be enforced. Args: mat (): matrix of state information func (): pooling function (np.nansum(), np.nanmin() or np.nanmax()). Must ignore NaNs. Returns: information pooled from neighbors for each agent """ return func(mat, axis=1).reshape((self.n_nodes, self.n_features)) # TODO check this axis = 1 def controller(self): """ The controller for flocking from Turner 2003. Args: x (): the current state Returns: the optimal action """ x = self.x s_diff = x.reshape((self.n_nodes, 1, self.nx_system)) - x.reshape((1, self.n_nodes, self.nx_system)) r2 = np.multiply(s_diff[:, :, 0], s_diff[:, :, 0]) + np.multiply(s_diff[:, :, 1], s_diff[:, :, 1]) + np.eye( self.n_nodes) p = np.dstack((s_diff, self.potential_grad(s_diff[:, :, 0], r2), self.potential_grad(s_diff[:, :, 1], r2))) p_sum = np.nansum(p, axis=1).reshape((self.n_nodes, self.nx_system + 2)) return np.hstack(((- p_sum[:, 4] - p_sum[:, 2]).reshape((-1, 1)), (- p_sum[:, 3] - p_sum[:, 5]).reshape(-1, 1))) def potential_grad(self, pos_diff, r2): """ Computes the gradient of the potential function for flocking proposed in Turner 2003. Args: pos_diff (): difference in a component of position among all agents r2 (): distance squared between agents Returns: corresponding component of the gradient of the potential """ grad = -2.0 * np.divide(pos_diff, np.multiply(r2, r2)) + 2 * np.divide(pos_diff, r2) grad[r2 > self.comm_radius] = 0 return grad

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7196a7afa44165b6070e17839c160c5651229421

406

py

Python

main/migrations/0006_labourer_allproj.py

kevinmuturi5/farm-Management-system

61929d7998d92d56daac67c2f8ace3cc76b6ee8b

[ "MIT" ]

1

2020-11-24T14:39:54.000Z

main/migrations/0006_labourer_allproj.py

kevinmuturi5/farm-Management-system

61929d7998d92d56daac67c2f8ace3cc76b6ee8b

[ "MIT" ]

null

main/migrations/0006_labourer_allproj.py

kevinmuturi5/farm-Management-system

61929d7998d92d56daac67c2f8ace3cc76b6ee8b

[ "MIT" ]

null

# Generated by Django 3.1.2 on 2020-10-18 16:07 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0005_auto_20201018_1902'), ] operations = [ migrations.AddField( model_name='labourer', name='allproj', field=models.ManyToManyField(blank=True, to='main.Listing'), ), ]

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7197c87f66af380e5e98dd30c64711ce25f12d71

607

py

Python

items/models.py

roberthtamayose/digitalmenu

19c6633844934fd95f861674946da386411a19c9

[ "MIT" ]

null

items/models.py

roberthtamayose/digitalmenu

19c6633844934fd95f861674946da386411a19c9

[ "MIT" ]

null

items/models.py

roberthtamayose/digitalmenu

19c6633844934fd95f861674946da386411a19c9

[ "MIT" ]

null

from django.db import models from django.utils import timezone class Categoria(models.Model): nome = models.CharField(max_length=255) def __str__(self): return self.nome class Item(models.Model): nome = models.CharField(max_length=255) data_criacao = models.DateTimeField(default=timezone.now) descricao = models.TextField(blank=True) categoria = models.ForeignKey(Categoria, on_delete=models.DO_NOTHING) ocultar = models.BooleanField(default=False) foto = models.ImageField(blank=True, upload_to='fotos/%y/%m/') def __str__(self): return self.nome

27.590909

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0

null

0

1

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1

719bca03a01e24f7c868ad83a281e40679838ca7

1,521

py

Python

jupyter/settings.py

nguyenngtt/GSE---TEAM-A

4f78c1ace051d4f2ff30a039aa481aa9b79d3242

[ "MIT" ]

3

2021-11-21T08:47:18.000Z

2021-11-28T10:35:10.000Z

jupyter/settings.py

nguyenngtt/GSE---TEAM-A

4f78c1ace051d4f2ff30a039aa481aa9b79d3242

[ "MIT" ]

6

2021-11-29T02:00:49.000Z

2022-02-08T09:21:38.000Z

jupyter/settings.py

nguyenngtt/GSE---TEAM-A

4f78c1ace051d4f2ff30a039aa481aa9b79d3242

[ "MIT" ]

3

2021-12-11T08:11:08.000Z

2022-01-10T12:51:48.000Z

import pandas as pd import numpy as np import os import logging # suppress warnings import warnings; warnings.filterwarnings('ignore'); from tqdm.autonotebook import tqdm # register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm` tqdm.pandas() # https://pandas.pydata.org/pandas-docs/stable/user_guide/options.html#available-options # adjust pandas display pd.options.display.max_columns = 30 # default 20 pd.options.display.max_rows = 200 # default 60 pd.options.display.float_format = '{:.2f}'.format # pd.options.display.precision = 2 pd.options.display.max_colwidth = 200 # default 50; None = all # Number of array items in summary at beginning and end of each dimension # np.set_printoptions(edgeitems=3) # default 3 np.set_printoptions(suppress=True) # no scientific notation for small numbers # IPython (Jupyter) setting: # Print out every value instead of just "last_expr" (default) from IPython.core.interactiveshell import InteractiveShell InteractiveShell.ast_node_interactivity = "all" import matplotlib as mpl from matplotlib import pyplot as plt # defaults: mpl.rcParamsDefault rc_params = {'figure.figsize': (8, 4), 'axes.labelsize': 'large', 'axes.titlesize': 'large', 'xtick.labelsize': 'large', 'ytick.labelsize': 'large', 'savefig.dpi': 100, 'figure.dpi': 100 } # adjust matplotlib defaults mpl.rcParams.update(rc_params) import seaborn as sns sns.set_style("darkgrid") # sns.set()

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1

719e5a0939a4c90bfd66956e7385e51aac9d612e

340

py

Python

pset_functions/db_search/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

5

2019-04-08T20:05:37.000Z

2019-12-04T20:48:45.000Z

pset_functions/db_search/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

8

2019-04-15T15:16:05.000Z

2022-02-12T10:33:32.000Z

pset_functions/db_search/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

2

2019-04-10T00:14:42.000Z

2020-02-26T20:35:21.000Z

""" GPA Calculator """ # Write a function called "simple_gpa" to find GPA when student enters a letter grade as a string. Assign the result to a variable called "gpa". """ Use these conversions: A+ --> 4.0 A --> 4.0 A- --> 3.7 B+ --> 3.3 B --> 3.0 B- --> 2.7 C+ --> 2.3 C --> 2.0 C- --> 1.7 D+ --> 1.3 D --> 1.0 D- --> 0.7 F --> 0.0 """

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null

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null

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1

0

1

71a1f9b966a655c142f90e8f1814eebae105ba9e

373

py

Python

setup.py

johnmartingodo/pyKinematicsKineticsToolbox

4ffc99885f3c637b8c33914a4e50ccb4595fc844

[ "MIT" ]

null

setup.py

johnmartingodo/pyKinematicsKineticsToolbox

4ffc99885f3c637b8c33914a4e50ccb4595fc844

[ "MIT" ]

null

setup.py

johnmartingodo/pyKinematicsKineticsToolbox

4ffc99885f3c637b8c33914a4e50ccb4595fc844

[ "MIT" ]

null

from setuptools import setup setup(name="pykinematicskineticstoolbox", version="0.0", description="Installable python package which collects useful kinematics and kinetics functions", author="John Martin K. Godø", author_email="john.martin.kleven.godo@gmail.com", license="MIT", packages=["pykinematicskineticstoolbox"], install_requires=["numpy"], )

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0

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0

0.1

0

null

0

null

0

1

0

1

71a73e1712465a4bec511db6faf72a21ab1c2e2c

946

py

Python

openskill/statistics.py

CalColson/openskill.py

ab61ca57fa6e60140d0a292c73440f22ceabd9a2

[ "MIT" ]

120

2021-09-03T03:06:11.000Z

2022-03-28T05:54:54.000Z

openskill/statistics.py

CalColson/openskill.py

ab61ca57fa6e60140d0a292c73440f22ceabd9a2

[ "MIT" ]

48

2021-09-23T07:15:13.000Z

2022-03-31T14:47:25.000Z

openskill/statistics.py

CalColson/openskill.py

ab61ca57fa6e60140d0a292c73440f22ceabd9a2

[ "MIT" ]

6

2022-01-20T16:45:28.000Z

2022-03-28T23:48:07.000Z

import sys import scipy.stats normal = scipy.stats.norm(0, 1) def phi_major(x): return normal.cdf(x) def phi_minor(x): return normal.pdf(x) def v(x, t): xt = x - t denom = phi_major(xt) return -xt if (denom < sys.float_info.epsilon) else phi_minor(xt) / denom def w(x, t): xt = x - t denom = phi_major(xt) if denom < sys.float_info.epsilon: return 1 if (x < 0) else 0 return v(x, t) * (v(x, t) + xt) def vt(x, t): xx = abs(x) b = phi_major(t - xx) - phi_major(-t - xx) if b < 1e-5: if x < 0: return -x - t return -x + t a = phi_minor(-t - xx) - phi_minor(t - xx) return (-a if x < 0 else a) / b def wt(x, t): xx = abs(x) b = phi_major(t - xx) - phi_major(-t - xx) if b < sys.float_info.epsilon: return 1.0 return ((t - xx) * phi_minor(t - xx) + (t + xx) * phi_minor(-t - xx)) / b + vt( x, t ) * vt(x, t)

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1

71abaaff24dc05f9c229f77e4b27cc8d68a5b7f5

14,189

py

Python

src/openalea/container/graph.py

revesansparole/oacontainer

066a15b8b1b22f857bf25ed443c5f39f4cbefb3e

[ "MIT" ]

null

src/openalea/container/graph.py

revesansparole/oacontainer

066a15b8b1b22f857bf25ed443c5f39f4cbefb3e

[ "MIT" ]

null

src/openalea/container/graph.py

revesansparole/oacontainer

066a15b8b1b22f857bf25ed443c5f39f4cbefb3e

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # Graph : graph package # # Copyright or Copr. 2006 INRIA - CIRAD - INRA # # File author(s): Jerome Chopard <jerome.chopard@sophia.inria.fr> # # Distributed under the Cecill-C License. # See accompanying file LICENSE.txt or copy at # http://www.cecill.info/licences/Licence_CeCILL-C_V1-en.html # # VPlants WebSite : https://gforge.inria.fr/projects/vplants/ # """This module provide a simple pure python implementation for a graph interface does not implement copy concept """ from id_dict import IdDict class GraphError(Exception): """ base class of all graph exceptions """ class InvalidEdge(GraphError, KeyError): """ exception raised when a wrong edge id is provided """ class InvalidVertex(GraphError, KeyError): """ exception raised when a wrong vertex id is provided """ class Graph(object): """Directed graph with multiple links in this implementation : - vertices are tuple of edge_in,edge_out - edges are tuple of source,target """ def __init__(self, graph=None, idgenerator="set"): """constructor if graph is not none make a copy of the topological structure of graph (i.e. don't use the same id) args: - graph (Graph): the graph to copy, default=None - idgenerator (str): type of idgenerator to use, default 'set' """ self._vertices = IdDict(idgenerator=idgenerator) self._edges = IdDict(idgenerator=idgenerator) if graph is not None: self.extend(graph) # ########################################################## # # Graph concept # # ########################################################## def source(self, eid): """Retrieve the source vertex of an edge args: - eid (int): edge id return: - (int): vertex id """ try: return self._edges[eid][0] except KeyError: raise InvalidEdge(eid) def target(self, eid): """Retrieve the target vertex of an edge args: - eid (int): edge id return: - (int): vertex id """ try: return self._edges[eid][1] except KeyError: raise InvalidEdge(eid) def edge_vertices(self, eid): """Retrieve both source and target vertex of an edge args: - eid (int): edge id return: - (int, int): source id, target id """ try: return self._edges[eid] except KeyError: raise InvalidEdge(eid) def edge(self, source, target): """Find the matching edge with same source and same target return None if it don't succeed args: - source (int): source vertex - target (int): target vertex return: - (int): edge id with same source and target - (None): if search is unsuccessful """ if target not in self: raise InvalidVertex(target) for eid in self.out_edges(source): if self.target(eid) == target: return eid return None def __contains__(self, vid): """magic alias for `has_vertex` """ return self.has_vertex(vid) def has_vertex(self, vid): """test whether a vertex belong to the graph args: - vid (int): id of vertex return: - (bool) """ return vid in self._vertices def has_edge(self, eid): """test whether an edge belong to the graph args: - eid (int): id of edge return: - (bool) """ return eid in self._edges def is_valid(self): """Test the validity of the graph return: - (bool) """ return True # ########################################################## # # Vertex List Graph Concept # # ########################################################## def vertices(self): """Iterator on all vertices return: - (iter of int) """ return iter(self._vertices) def __iter__(self): """Magic alias for `vertices` """ return iter(self._vertices) def nb_vertices(self): """Total number of vertices in the graph return: - (int) """ return len(self._vertices) def __len__(self): """Magic alias for `nb_vertices` """ return self.nb_vertices() def in_neighbors(self, vid): """Iterator on the neighbors of vid where edges are directed from neighbor to vid args: - vid (int): vertex id return: - (iter of int): iter of vertex id """ if vid not in self: raise InvalidVertex(vid) neighbors_list = [self.source(eid) for eid in self._vertices[vid][0]] return iter(set(neighbors_list)) def out_neighbors(self, vid): """Iterator on the neighbors of vid where edges are directed from vid to neighbor args: - vid (int): vertex id return: - (iter of int): iter of vertex id """ if vid not in self: raise InvalidVertex(vid) neighbors_list = [self.target(eid) for eid in self._vertices[vid][1]] return iter(set(neighbors_list)) def neighbors(self, vid): """Iterator on all neighbors of vid both in and out args: - vid (int): vertex id return: - (iter of int): iter of vertex id """ neighbors_list = list(self.in_neighbors(vid)) neighbors_list.extend(self.out_neighbors(vid)) return iter(set(neighbors_list)) def nb_in_neighbors(self, vid): """Number of in neighbors of vid where edges are directed from neighbor to vid args: - vid (int): vertex id return: - (int) """ neighbors_set = list(self.in_neighbors(vid)) return len(neighbors_set) def nb_out_neighbors(self, vid): """Number of out neighbors of vid where edges are directed from vid to neighbor args: - vid (int): vertex id return: - (int) """ neighbors_set = list(self.out_neighbors(vid)) return len(neighbors_set) def nb_neighbors(self, vid): """Total number of both in and out neighbors of vid args: - vid (int): vertex id return: - (int) """ neighbors_set = list(self.neighbors(vid)) return len(neighbors_set) # ########################################################## # # Edge List Graph Concept # # ########################################################## def _iter_edges(self, vid): """ internal function that perform 'edges' with vid not None """ link_in, link_out = self._vertices[vid] for eid in link_in: yield eid for eid in link_out: yield eid def edges(self, vid=None): """Iterate on all edges connected to a given vertex. If vid is None (default), iterate on all edges in the graph args: - vid (int): vertex holdings edges, default (None) return: - (iter of int): iterator on edge ids """ if vid is None: return iter(self._edges) if vid not in self: raise InvalidVertex(vid) return self._iter_edges(vid) def nb_edges(self, vid=None): """Number of edges connected to a given vertex. If vid is None (default), total number of edges in the graph args: - vid (int): vertex holdings edges, default (None) return: - (int) """ if vid is None: return len(self._edges) if vid not in self: raise InvalidVertex(vid) return len(self._vertices[vid][0]) + len(self._vertices[vid][1]) def in_edges(self, vid): """Iterate on all edges pointing to a given vertex. args: - vid (int): vertex target of edges return: - (iter of int): iterator on edge ids """ if vid not in self: raise InvalidVertex(vid) for eid in self._vertices[vid][0]: yield eid def out_edges(self, vid): """Iterate on all edges away from a given vertex. args: - vid (int): vertex source of edges return: - (iter of int): iterator on edge ids """ if vid not in self: raise InvalidVertex(vid) for eid in self._vertices[vid][1]: yield eid def nb_in_edges(self, vid): """Number of edges pointing to a given vertex. args: - vid (int): vertex target of edges return: - (int) """ if vid not in self: raise InvalidVertex(vid) return len(self._vertices[vid][0]) def nb_out_edges(self, vid): """Number of edges away from a given vertex. args: - vid (int): vertex source of edges return: - (int) """ if vid not in self: raise InvalidVertex(vid) return len(self._vertices[vid][1]) # ########################################################## # # Mutable Vertex Graph concept # # ########################################################## def add_vertex(self, vid=None): """Add a vertex to the graph. If vid is not provided create a new vid args: - vid (int): id to use. If None (default) will generate a new one return: - vid (int): id used for the new vertex """ try: return self._vertices.add((set(), set()), vid) except KeyError: raise InvalidVertex(vid) def remove_vertex(self, vid): """Remove a specified vertex of the graph. Also remove all edge attached to it. args: - vid (int): id of vertex to remove """ if vid not in self: raise InvalidVertex(vid) link_in, link_out = self._vertices[vid] for edge in list(link_in): self.remove_edge(edge) for edge in list(link_out): self.remove_edge(edge) del self._vertices[vid] def clear(self): """Remove all vertices and edges don't change references to objects """ self._edges.clear() self._vertices.clear() # ########################################################## # # Mutable Edge Graph concept # # ########################################################## def add_edge(self, sid, tid, eid=None): """Add an edge to the graph. If eid is not provided generate a new one. args: - sid (int): id of source vertex - tid (int): id of target vertex - eid (int): id to use. If None (default) will generate a new one return: - eid (int): id used for new edge """ if sid not in self: raise InvalidVertex(sid) if tid not in self: raise InvalidVertex(tid) try: eid = self._edges.add((sid, tid), eid) except KeyError: raise InvalidEdge(eid) self._vertices[sid][1].add(eid) self._vertices[tid][0].add(eid) return eid def remove_edge(self, eid): """Remove a specified edge from the graph. args: - eid (int): id of edge to remove """ if not self.has_edge(eid): raise InvalidEdge(eid) sid, tid = self._edges[eid] self._vertices[sid][1].remove(eid) self._vertices[tid][0].remove(eid) del self._edges[eid] def clear_edges(self): """Remove all the edges of the graph don't change references to objects """ self._edges.clear() for vid, (in_set, out_set) in self._vertices.iteritems(): in_set.clear() out_set.clear() # ########################################################## # # Extend Graph concept # # ########################################################## def extend(self, graph): """Add the specified graph to self, create new vid and eid args: - graph (Graph): the graph to add return: - (dict of (int, int)): mapping between vertex id in graph and vertex id in extended self - (dict of (int, int)): mapping between edge id in graph and edge id in extended self """ # vertex adding trans_vid = {} for vid in list(graph.vertices()): trans_vid[vid] = self.add_vertex() # edge adding trans_eid = {} for eid in list(graph.edges()): sid = trans_vid[graph.source(eid)] tid = trans_vid[graph.target(eid)] trans_eid[eid] = self.add_edge(sid, tid) return trans_vid, trans_eid def sub_graph(self, vids): """ """ raise NotImplemented # from copy import deepcopy # vids = set(vids) # # result = deepcopy(self) # result._vertices.clear() # result._edges.clear() # # for key, edges in self._vertices.items(): # if key in vids: # inedges, outedges = edges # sortedinedges = set( # [eid for eid in inedges if self.source(eid) in vids]) # sortedoutedges = set( # [eid for eid in outedges if self.target(eid) in vids]) # result._vertices.add((sortedinedges, sortedoutedges), key) # for eid in sortedoutedges: # result._edges.add(self._edges[eid], eid) # # return result

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78

0.512651

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4.353874

0.125076

0.040359

0.02102

0.023543

0.462864

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null

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null

0

1

0

1

71acaf064514ffdbe1a52492a693bd272d32dbf5

8,439

py

Python

nets/mobilenet_v2_ssd.py

GT-AcerZhang/PaddlePaddle-SSD

3833afe3470b7dc811409b3d8111b98dc31c6d0e

[ "Apache-2.0" ]

47

2020-03-25T01:42:45.000Z

2022-03-23T12:03:46.000Z

nets/mobilenet_v2_ssd.py

tianxiehu/PaddlePaddle-SSD

ae2ec69b65cc181fdb4275b295f145dc22e71ddb

[ "Apache-2.0" ]

1

2021-06-30T13:02:59.000Z

2022-01-13T09:48:07.000Z

nets/mobilenet_v2_ssd.py

tianxiehu/PaddlePaddle-SSD

ae2ec69b65cc181fdb4275b295f145dc22e71ddb

[ "Apache-2.0" ]

9

2020-06-01T13:28:44.000Z

2021-06-17T02:42:55.000Z

import paddle.fluid as fluid from paddle.fluid.initializer import MSRA from paddle.fluid.param_attr import ParamAttr class MobileNetV2SSD: def __init__(self, img, num_classes, img_shape): self.img = img self.num_classes = num_classes self.img_shape = img_shape def ssd_net(self, scale=1.0): # 300x300 bottleneck_params_list = [(1, 16, 1, 1), (6, 24, 2, 2), (6, 32, 3, 2), (6, 64, 4, 2), (6, 96, 3, 1)] # conv1 input = self.conv_bn_layer(input=self.img, num_filters=int(32 * scale), filter_size=3, stride=2, padding=1, if_act=True) # bottleneck sequences in_c = int(32 * scale) for layer_setting in bottleneck_params_list: t, c, n, s = layer_setting input = self.invresi_blocks(input=input, in_c=in_c, t=t, c=int(c * scale), n=n, s=s) in_c = int(c * scale) # 19x19 module11 = input tmp = self.invresi_blocks(input=input, in_c=in_c, t=6, c=int(160 * scale), n=3, s=2) # 10x10 module13 = self.invresi_blocks(input=tmp, in_c=int(160 * scale), t=6, c=int(320 * scale), n=1, s=1) module14 = self.extra_block(module13, 256, 512, 1) # 5x5 module15 = self.extra_block(module14, 128, 256, 1) # 3x3 module16 = self.extra_block(module15, 128, 256, 1) # 2x2 module17 = self.extra_block(module16, 64, 128, 1) mbox_locs, mbox_confs, box, box_var = fluid.layers.multi_box_head( inputs=[module11, module13, module14, module15, module16, module17], image=self.img, num_classes=self.num_classes, min_ratio=20, max_ratio=90, min_sizes=[60.0, 105.0, 150.0, 195.0, 240.0, 285.0], max_sizes=[[], 150.0, 195.0, 240.0, 285.0, 300.0], aspect_ratios=[[2.], [2., 3.], [2., 3.], [2., 3.], [2., 3.], [2., 3.]], base_size=self.img_shape[2], offset=0.5, flip=True) return mbox_locs, mbox_confs, box, box_var def conv_bn_layer(self, input, filter_size, num_filters, stride, padding, num_groups=1, if_act=True, use_cudnn=True): parameter_attr = ParamAttr(learning_rate=0.1, initializer=MSRA()) conv = fluid.layers.conv2d(input=input, num_filters=num_filters, filter_size=filter_size, stride=stride, padding=padding, groups=num_groups, use_cudnn=use_cudnn, param_attr=parameter_attr, bias_attr=False) bn = fluid.layers.batch_norm(input=conv) if if_act: return fluid.layers.relu6(bn) else: return bn def shortcut(self, input, data_residual): return fluid.layers.elementwise_add(input, data_residual) def inverted_residual_unit(self, input, num_in_filter, num_filters, ifshortcut, stride, filter_size, padding, expansion_factor): num_expfilter = int(round(num_in_filter * expansion_factor)) channel_expand = self.conv_bn_layer(input=input, num_filters=num_expfilter, filter_size=1, stride=1, padding=0, num_groups=1, if_act=True) bottleneck_conv = self.conv_bn_layer(input=channel_expand, num_filters=num_expfilter, filter_size=filter_size, stride=stride, padding=padding, num_groups=num_expfilter, if_act=True, use_cudnn=False) linear_out = self.conv_bn_layer(input=bottleneck_conv, num_filters=num_filters, filter_size=1, stride=1, padding=0, num_groups=1, if_act=False) if ifshortcut: out = self.shortcut(input=input, data_residual=linear_out) return out else: return linear_out def invresi_blocks(self, input, in_c, t, c, n, s): first_block = self.inverted_residual_unit(input=input, num_in_filter=in_c, num_filters=c, ifshortcut=False, stride=s, filter_size=3, padding=1, expansion_factor=t) last_residual_block = first_block last_c = c for i in range(1, n): last_residual_block = self.inverted_residual_unit(input=last_residual_block, num_in_filter=last_c, num_filters=c, ifshortcut=True, stride=1, filter_size=3, padding=1, expansion_factor=t) return last_residual_block def conv_bn(self, input, filter_size, num_filters, stride, padding, num_groups=1, act='relu', use_cudnn=True): parameter_attr = ParamAttr(learning_rate=0.1, initializer=MSRA()) conv = fluid.layers.conv2d(input=input, num_filters=num_filters, filter_size=filter_size, stride=stride, padding=padding, groups=num_groups, use_cudnn=use_cudnn, param_attr=parameter_attr, bias_attr=False) return fluid.layers.batch_norm(input=conv, act=act) def extra_block(self, input, num_filters1, num_filters2, num_groups): # 1x1 conv pointwise_conv = self.conv_bn(input=input, filter_size=1, num_filters=int(num_filters1), stride=1, num_groups=int(num_groups), padding=0) # 3x3 conv normal_conv = self.conv_bn(input=pointwise_conv, filter_size=3, num_filters=int(num_filters2), stride=2, num_groups=int(num_groups), padding=1) return normal_conv def build_ssd(img, num_classes, img_shape): ssd_model = MobileNetV2SSD(img, num_classes, img_shape) return ssd_model.ssd_net() if __name__ == '__main__': data = fluid.data(name='data', shape=[None, 3, 300, 300]) build_ssd(data, 21, img_shape=[3, 300, 300])

44.650794

114

0.422799

799

8,439

4.20776

0.193992

0.047591

0.017847

0.431886

0.349494

0.272457

0.25699

0.209994

0

0.058361

0.502548

8,439

188

115

44.888298

0.742496

0.009006

0

0.363636

0

0.001916

0

1

0.058442

false

0

0.019481

0.006494

0.149351

0

null

0

1

0

null

0

1

71b98f59428322523fe15276f1dd95e05126903b

1,330

py

Python

social_auth_ragtag_id/backends.py

RagtagOpen/python-social-auth-ragtag-id

8d8e005231c09535098136213347934e9da7b3f2

[ "MIT" ]

null

social_auth_ragtag_id/backends.py

RagtagOpen/python-social-auth-ragtag-id

8d8e005231c09535098136213347934e9da7b3f2

[ "MIT" ]

3

2020-03-24T16:26:22.000Z

2021-02-02T21:55:45.000Z

social_auth_ragtag_id/backends.py

RagtagOpen/python-social-auth-ragtag-id

8d8e005231c09535098136213347934e9da7b3f2

[ "MIT" ]

null

from social_core.backends.oauth import BaseOAuth2 class RagtagOAuth2(BaseOAuth2): """Ragtag ID OAuth authentication backend""" name = "ragtag" AUTHORIZATION_URL = "https://id.ragtag.org/oauth/authorize/" ACCESS_TOKEN_URL = "https://id.ragtag.org/oauth/token/" ACCESS_TOKEN_METHOD = "POST" REVOKE_TOKEN_URL = "https://id.ragtag.org/oauth/revoke_token/" SCOPE_SEPARATOR = " " ID_KEY = "id" def get_user_details(self, response): """Return user details from Ragtag ID account""" return { "username": response.get("username"), "email": response.get("email"), "first_name": response.get("first_name"), "last_name": response.get("last_name"), } def user_data(self, access_token, *args, **kwargs): """Fetches user data from id.ragtag.org""" return self.get_json( "https://id.ragtag.org/api/me/", headers={"Authorization": "Bearer {}".format(access_token)}, ) def auth_params(self, state=None): params = super(RagtagOAuth2, self).auth_params(state=state) approval_prompt = self.setting("APPROVAL_PROMPT", "auto") if not approval_prompt == "auto": params["approval_prompt"] = self.setting("APPROVAL_PROMPT", "") return params

35.945946

75

0.627068

153

1,330

5.267974

0.392157

0.049628

0.068238

0.079404

0.198511

0.07196

0

0.00391

0.230827

1,330

36

76

36.944444

0.783969

0.088722

0

0.245819

0

1

0.111111

false

0

0.037037

0

0.555556

0

null

0

null

0

1

0

1

71c4e4d0291e170dbdedace4be31a3f5ab545979

3,259

py

Python

SWHT/Ylm.py

2baOrNot2ba/SWHT

738718e90d615e624dacf7746f8a2dfa973ec9fe

[ "BSD-3-Clause" ]

null

SWHT/Ylm.py

2baOrNot2ba/SWHT

738718e90d615e624dacf7746f8a2dfa973ec9fe

[ "BSD-3-Clause" ]

null

SWHT/Ylm.py

2baOrNot2ba/SWHT

738718e90d615e624dacf7746f8a2dfa973ec9fe

[ "BSD-3-Clause" ]

null

""" An implementation on spherical harmonics in python becasue scipy.special.sph_harm in scipy<=0.13 is very slow Originally written by Jozef Vesely https://github.com/scipy/scipy/issues/1280 """ import numpy as np def xfact(m): # computes (2m-1)!!/sqrt((2m)!) res = 1. for i in xrange(1, 2*m+1): if i % 2: res *= i # (2m-1)!! res /= np.sqrt(i) # sqrt((2m)!) return res def lplm_n(l, m, x): # associated legendre polynomials normalized as in Ylm, from Numerical Recipes 6.7 l,m = int(l),int(m) assert 0<=m<=l and np.all(np.abs(x)<=1.) norm = np.sqrt(2. * l + 1.) / np.sqrt(4. * np.pi) if m == 0: pmm = norm * np.ones_like(x) else: pmm = (-1.)**m * norm * xfact(m) * (1.-x**2.)**(m/2.) if l == m: return pmm pmmp1 = x * pmm * np.sqrt(2.*m+1.) if l == m+1: return pmmp1 for ll in xrange(m+2, l+1): pll = (x*(2.*ll-1.)*pmmp1 - np.sqrt( (ll-1.)**2. - m**2.)*pmm)/np.sqrt(ll**2.-m**2.) pmm = pmmp1 pmmp1 = pll return pll def Ylm(l, m, phi, theta): # spherical harmonics # theta is from 0 to pi with pi/2 on equator l,m = int(l),int(m) assert 0 <= np.abs(m) <=l if m > 0: return lplm_n(l, m, np.cos(theta)) * np.exp(1J * m * phi) elif m < 0: return (-1.)**m * lplm_n(l, -m, np.cos(theta)) * np.exp(1J * m * phi) return lplm_n(l, m, np.cos(theta)) * np.ones_like(phi) def Ylmr(l, m, phi, theta): # real spherical harmonics # theta is from 0 to pi with pi/2 on equator l,m = int(l),int(m) assert 0 <= np.abs(m) <=l if m > 0: return lplm_n(l, m, np.cos(theta)) * np.cos(m * phi) * np.sqrt(2.) elif m < 0: return (-1.)**m * lplm_n(l, -m, np.cos(theta)) * np.sin(-m * phi) * np.sqrt(2.) return lplm_n(l, m, np.cos(theta)) * np.ones_like(phi) if __name__ == "__main__": from scipy.special import sph_harm from scipy.misc import factorial2, factorial from timeit import Timer def ref_xfact(m): return factorial2(2*m-1)/np.sqrt(factorial(2*m)) print "Time: xfact(10)", Timer("xfact(10)", "from __main__ import xfact, ref_xfact").timeit(100) print "Time: ref_xfact(10)", Timer("ref_xfact(10)", "from __main__ import xfact, ref_xfact").timeit(100) print "Time: xfact(80)", Timer("xfact(80)", "from __main__ import xfact, ref_xfact").timeit(100) print "Time: ref_xfact(80)", Timer("ref_xfact(80)", "from __main__ import xfact, ref_xfact").timeit(100) print "m", "xfact", "ref_xfact" for m in range(10) + range(80,90): a = xfact(m) b = ref_xfact(m) print m, a, b phi, theta = np.ogrid[0:2*np.pi:10j,-np.pi/2:np.pi/2:10j] print "Time: Ylm(1,1,phi,theta)", Timer("Ylm(1,1,phi,theta)", "from __main__ import Ylm, sph_harm, phi, theta").timeit(10) print "Time: sph_harm(1,1,phi,theta)", Timer("sph_harm(1,1,phi,theta)", "from __main__ import Ylm, sph_harm, phi, theta").timeit(10) print "l", "m", "max|Ylm-sph_harm|" for l in xrange(0,10): for m in xrange(-l,l+1): a = Ylm(l,m,phi,theta) b = sph_harm(m,l,phi,theta) print l,m, np.amax(np.abs(a-b))

32.919192

109

0.56367

574

3,259

3.094077

0.186411

0.019144

0.023649

0.02759

0.454392

0.412725

0.399212

0.38964

0

0.051916

0.255293

3,259

98

110

33.255102

0.679852

0.080393

0

0.239437

0

0.174848

0.016482

0

0.042254

0

null

0

0.140845

null

0.140845

0

null

0

null

0

1

0

1

71c972e7ade9ba017ed68282dda02ffa0b10d89d

5,110

py

Python

src/solana/rpc/responses.py

broper2/solana-py

146390d959f017e137238335ee6fa362ad1a1ab4

[ "MIT" ]

1

2021-12-13T05:28:52.000Z

src/solana/rpc/responses.py

broper2/solana-py

146390d959f017e137238335ee6fa362ad1a1ab4

[ "MIT" ]

1

2021-08-11T10:33:16.000Z

src/solana/rpc/responses.py

broper2/solana-py

146390d959f017e137238335ee6fa362ad1a1ab4

[ "MIT" ]

2

2021-06-23T15:29:56.000Z

2022-01-29T06:24:01.000Z

"""This module contains code for parsing RPC responses.""" from dataclasses import dataclass, field from typing import Union, Tuple, Any, Dict, List, Optional, Literal from apischema import alias from apischema.conversions import as_str from solana.publickey import PublicKey from solana.transaction import TransactionSignature as_str(PublicKey) TransactionErrorResult = Optional[dict] @dataclass class TransactionErr: """Container for possible transaction errors.""" err: TransactionErrorResult @dataclass class Context: """RPC result context.""" slot: int @dataclass class WithContext: """Base class for RPC result including context.""" context: Context @dataclass class AccountInfo: """Account information.""" lamports: int owner: PublicKey data: Union[Literal[""], Tuple[str, str], Dict[str, Any]] executable: bool rent_epoch: int = field(metadata=alias("rentEpoch")) @dataclass class AccountInfoAndContext(WithContext): """Account info and RPC result context.""" value: AccountInfo @dataclass class SubscriptionNotificationBase: """Base class for RPC subscription notifications.""" subscription: int result: Any @dataclass class AccountNotification(SubscriptionNotificationBase): """Account subscription notification.""" result: AccountInfoAndContext @dataclass class LogItem(TransactionErr): """Container for logs from logSubscribe.""" signature: TransactionSignature logs: Optional[List[str]] @dataclass class LogItemAndContext(WithContext): """Log item with RPC result context.""" value: LogItem @dataclass class LogsNotification(SubscriptionNotificationBase): """Logs subscription notification.""" result: LogItemAndContext @dataclass class ProgramAccount: """Program account pubkey and account info.""" pubkey: PublicKey account: AccountInfo @dataclass class ProgramAccountAndContext(WithContext): """Program subscription data with RPC result context.""" value: ProgramAccount @dataclass class ProgramNotification(SubscriptionNotificationBase): """Program subscription notification.""" result: ProgramAccountAndContext @dataclass class SignatureErrAndContext(WithContext): """Signature subscription error info with RPC result context.""" value: TransactionErr @dataclass class SignatureNotification(SubscriptionNotificationBase): """Signature subscription notification.""" result: SignatureErrAndContext @dataclass class SlotBase: """Base class for slot container.""" slot: int @dataclass class SlotInfo(SlotBase): """Slot info.""" parent: int root: int @dataclass class SlotNotification(SubscriptionNotificationBase): """Slot subscription notification.""" result: SlotInfo @dataclass class RootNotification(SubscriptionNotificationBase): """Root subscription notification.""" result: int @dataclass class SlotAndTimestampBase(SlotBase): """Base class for a slot with timestamp.""" timestamp: int @dataclass class FirstShredReceived(SlotAndTimestampBase): """First shread received update.""" type: Literal["firstShredReceived"] @dataclass class Completed(SlotAndTimestampBase): """Slot completed update.""" type: Literal["completed"] @dataclass class CreatedBank(SlotAndTimestampBase): """Created bank update.""" parent: int type: Literal["createdBank"] @dataclass class SlotTransactionStats: """Slot transaction stats.""" num_transaction_entries: int = field(metadata=alias("numTransactionEntries")) num_successful_transactions: int = field(metadata=alias("numSuccessfulTransactions")) num_failed_transactions: int = field(metadata=alias("numFailedTransactions")) max_transactions_per_entry: int = field(metadata=alias("maxTransactionsPerEntry")) @dataclass class Frozen(SlotAndTimestampBase): """Slot frozen update.""" stats: SlotTransactionStats type: Literal["frozen"] @dataclass class Dead(SlotAndTimestampBase): """Dead slot update.""" err: str type: Literal["dead"] @dataclass class OptimisticConfirmation(SlotAndTimestampBase): """Optimistic confirmation update.""" type: Literal["optimisticConfirmation"] @dataclass class Root(SlotAndTimestampBase): """Root update.""" type: Literal["root"] SlotsUpdatesItem = Union[FirstShredReceived, Completed, CreatedBank, Frozen, Dead, OptimisticConfirmation, Root] @dataclass class SlotsUpdatesNotification(SubscriptionNotificationBase): """Slots updates notification.""" result: SlotsUpdatesItem @dataclass class VoteItem: """Vote data.""" hash: str slots: List[int] timestamp: Optional[int] @dataclass class VoteNotification(SubscriptionNotificationBase): """Vote update notification.""" result: VoteItem SubscriptionNotification = Union[ AccountNotification, LogsNotification, ProgramNotification, SignatureNotification, SlotNotification, RootNotification, SlotsUpdatesNotification, VoteNotification, ]

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null

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null

0

1

0

1

71cb7166ebfc6dcb81586c67d3970300c6d339d5

2,850

py

Python

src/tools/pch.py

MaxSac/build

482c25f3a26171073c7e6c59f0427f2259a63fec

[ "BSL-1.0" ]

11,356

2017-12-08T19:42:32.000Z

2022-03-31T16:55:25.000Z

src/tools/pch.py

MaxSac/build

482c25f3a26171073c7e6c59f0427f2259a63fec

[ "BSL-1.0" ]

2,402

2017-12-08T22:31:01.000Z

2022-03-28T19:25:52.000Z

src/tools/pch.py

MaxSac/build

482c25f3a26171073c7e6c59f0427f2259a63fec

[ "BSL-1.0" ]

1,343

2017-12-08T19:47:19.000Z

2022-03-26T11:31:36.000Z

# Status: Being ported by Steven Watanabe # Base revision: 47077 # # Copyright (c) 2005 Reece H. Dunn. # Copyright 2006 Ilya Sokolov # Copyright (c) 2008 Steven Watanabe # # Use, modification and distribution is subject to the Boost Software # License Version 1.0. (See accompanying file LICENSE_1_0.txt or # http://www.boost.org/LICENSE_1_0.txt) ##### Using Precompiled Headers (Quick Guide) ##### # # Make precompiled mypch.hpp: # # import pch ; # # cpp-pch mypch # : # sources # mypch.hpp # : # requiremnts # <toolset>msvc:<source>mypch.cpp # ; # # Add cpp-pch to sources: # # exe hello # : main.cpp hello.cpp mypch # ; from b2.build import type, feature, generators from b2.tools import builtin type.register('PCH', ['pch']) type.register('C_PCH', [], 'PCH') type.register('CPP_PCH', [], 'PCH') # Control precompiled header (PCH) generation. feature.feature('pch', ['on', 'off'], ['propagated']) feature.feature('pch-header', [], ['free', 'dependency']) feature.feature('pch-file', [], ['free', 'dependency']) class PchGenerator(generators.Generator): """ Base PCH generator. The 'run' method has the logic to prevent this generator from being run unless it's being used for a top-level PCH target. """ def action_class(self): return builtin.CompileAction def run(self, project, name, prop_set, sources): if not name: # Unless this generator is invoked as the top-most generator for a # main target, fail. This allows using 'H' type as input type for # this generator, while preventing Boost.Build to try this generator # when not explicitly asked for. # # One bad example is msvc, where pch generator produces both PCH # target and OBJ target, so if there's any header generated (like by # bison, or by msidl), we'd try to use pch generator to get OBJ from # that H, which is completely wrong. By restricting this generator # only to pch main target, such problem is solved. pass else: r = self.run_pch(project, name, prop_set.add_raw(['<define>BOOST_BUILD_PCH_ENABLED']), sources) return generators.add_usage_requirements( r, ['<define>BOOST_BUILD_PCH_ENABLED']) # This rule must be overridden by the derived classes. def run_pch(self, project, name, prop_set, sources): pass # NOTE: requirements are empty, default pch generator can be applied when # pch=off. generators.register(builtin.DummyGenerator( "pch.default-c-pch-generator", False, [], ['C_PCH'], [])) generators.register(builtin.DummyGenerator( "pch.default-cpp-pch-generator", False, [], ['CPP_PCH'], []))

33.928571

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0.635789

369

2,850

4.848238

0.452575

0.040246

0.028508

0.030184

0.116266

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2,850

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0.107143

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0.285714

0

null

0

null

0

1

0

1

71cba591b2f2458645ed1d92e6c6191526e0649e

3,274

py

Python

packages/pytest-simcore/src/pytest_simcore/helpers/utils_login.py

GitHK/osparc-simcore-forked

5b01a28d1b8028afcf9a735e1d46a73daa13686e

[ "MIT" ]

null

packages/pytest-simcore/src/pytest_simcore/helpers/utils_login.py

GitHK/osparc-simcore-forked

5b01a28d1b8028afcf9a735e1d46a73daa13686e

[ "MIT" ]

17

2020-10-15T16:06:05.000Z

2022-03-21T18:48:21.000Z

packages/pytest-simcore/src/pytest_simcore/helpers/utils_login.py

GitHK/osparc-simcore-forked

5b01a28d1b8028afcf9a735e1d46a73daa13686e

[ "MIT" ]

null

import re from typing import Dict from aiohttp import web from yarl import URL from simcore_service_webserver.db_models import UserRole, UserStatus from simcore_service_webserver.login.cfg import cfg, get_storage from simcore_service_webserver.login.registration import create_invitation from simcore_service_webserver.login.utils import encrypt_password, get_random_string from .utils_assert import assert_status TEST_MARKS = re.compile(r"TEST (\w+):(.*)") def parse_test_marks(text): """Checs for marks as TEST name:123123 TEST link:some-value """ marks = {} for m in TEST_MARKS.finditer(text): key, value = m.groups() marks[key] = value.strip() return marks def parse_link(text): link = parse_test_marks(text)["link"] return URL(link).path async def create_user(data=None) -> Dict: data = data or {} password = get_random_string(10) params = { "name": get_random_string(10), "email": "{}@gmail.com".format(get_random_string(10)), "password_hash": encrypt_password(password), } params.update(data) params.setdefault("status", UserStatus.ACTIVE.name) params.setdefault("role", UserRole.USER.name) params.setdefault("created_ip", "127.0.0.1") user = await cfg.STORAGE.create_user(params) user["raw_password"] = password return user async def log_client_in(client, user_data=None, *, enable_check=True) -> Dict: # creates user directly in db user = await create_user(user_data) # login url = client.app.router["auth_login"].url_for() r = await client.post( url, json={ "email": user["email"], "password": user["raw_password"], }, ) if enable_check: await assert_status(r, web.HTTPOk, cfg.MSG_LOGGED_IN) return user class NewUser: def __init__(self, params=None, app: web.Application = None): self.params = params self.user = None self.db = get_storage(app) if app else cfg.STORAGE # FIXME: async def __aenter__(self): self.user = await create_user(self.params) return self.user async def __aexit__(self, *args): await self.db.delete_user(self.user) class LoggedUser(NewUser): def __init__(self, client, params=None, *, check_if_succeeds=True): super().__init__(params, client.app) self.client = client self.enable_check = check_if_succeeds async def __aenter__(self): self.user = await log_client_in( self.client, self.params, enable_check=self.enable_check ) return self.user class NewInvitation(NewUser): def __init__(self, client, guest="", host=None): super().__init__(host, client.app) self.client = client self.guest = guest or get_random_string(10) self.confirmation = None async def __aenter__(self): # creates host user self.user = await create_user(self.params) self.confirmation = await create_invitation(self.user, self.guest, self.db) return self.confirmation async def __aexit__(self, *args): if await self.db.get_confirmation(self.confirmation): await self.db.delete_confirmation(self.confirmation)

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3,274

4.892019

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0.083013

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0.224191

3,274

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false

0.0625

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0

0.3

0

null

0

null

0

1

0

1

71cc3ccb2a64dc7939c236363e16d9e1816e901e

2,806

py

Python

indra/tests/test_sparser.py

jmuhlich/indra

feab2c08541ea73f328579faa6a21b08082cb026

[ "BSD-2-Clause" ]

null

indra/tests/test_sparser.py

jmuhlich/indra

feab2c08541ea73f328579faa6a21b08082cb026

[ "BSD-2-Clause" ]

null

indra/tests/test_sparser.py

jmuhlich/indra

feab2c08541ea73f328579faa6a21b08082cb026

[ "BSD-2-Clause" ]

null

from indra import sparser xml_str1 = ''' <article pmid="54321"> <interpretation> <sentence-text>MEK1 phosphorylates ERK1</sentence-text> <sem> <ref category="phosphorylate"> <var name="agent"> <ref category="protein"> <var name="name">MP2K1_HUMAN</var> <var name="uid">UP:MP2K1_HUMAN</var> </ref> </var> <var name="substrate"> <ref category="protein"> <var name="name">MK03_HUMAN</var> <var name="uid">UP:MK03_HUMAN</var> </ref> </var> <var name="present"><ref category="present"></ref></var> </ref> </sem> </interpretation> </article> ''' xml_str2 = ''' <article pmid="12345"> <interpretation> <sentence-text>Hence ASPP2 can be phosphorylated at serine 827 by MAPK1 in vitro</sentence-text> <sem> <ref category="phosphorylate"> <var name="subordinate-conjunction"> <ref category="subordinate-conjunction"><var name="word">hence</var></ref></var> <var name="substrate"> <ref category="protein"> <var name="name">ASPP2_HUMAN</var> <var name="uid">UP:ASPP2_HUMAN</var> </ref> </var> <var name="agent"> <ref category="protein"> <var name="context"> <ref category="in-vitro"></ref> </var> <var name="uid">UP:MK01_HUMAN</var> <var name="name">MK01_HUMAN</var> </ref> </var> <var name="site"> <ref category="residue-on-protein"> <var name="amino-acid"> <ref category="amino-acid"><var name="name">serine</var></ref> </var> <var name="position"> 827</var> </ref> </var> <var name="modal"><ref category="can"></ref></var> </ref> </sem> </interpretation> </article> ''' def test_invalid_xml(): sp = sparser.process_xml('xyz') assert(sp is None) def test_phosphorylation(): sp = sparser.process_xml(xml_str1) assert(len(sp.statements) == 1) assert(sp.statements[0].enz.name == 'MAP2K1') assert(sp.statements[0].sub.name == 'MAPK3') assert(len(sp.statements[0].evidence) == 1) ev = sp.statements[0].evidence[0] assert(ev.pmid == '54321') assert(ev.text) assert(ev.source_api == 'sparser') def test_phosphorylation2(): sp = sparser.process_xml(xml_str2) assert(len(sp.statements) == 1) assert(sp.statements[0].enz.name == 'MAPK1') assert(sp.statements[0].sub.name == 'TP53BP2') assert(sp.statements[0].residue == 'S') assert(sp.statements[0].position == '827') assert (len(sp.statements[0].evidence) == 1) ev = sp.statements[0].evidence[0] assert (ev.pmid == '12345') assert (ev.text) assert (ev.source_api == 'sparser')

29.229167

98

0.573414

340

2,806

4.670588

0.238235

0.092569

0.075567

0.065491

0.56864

0.511335

0.358312

0.212846

0

0.035394

0.244833

2,806

95

99

29.536842

0.714016

0

0.528736

0

0.022989

0.660727

0.207413

0

0.195402

1

0.034483

false

0

0.011494

0

0.045977

0

null

0

1

0

null

0

1

71cd46d78b6a8276fbfad5958ac1ac90396f36d3

685

py

Python

examples/quickstart/run_example.py

siforrer/coreali

261e321b546192e608edf87c47719d2173ab4645

[ "MIT" ]

null

examples/quickstart/run_example.py

siforrer/coreali

261e321b546192e608edf87c47719d2173ab4645

[ "MIT" ]

null

examples/quickstart/run_example.py

siforrer/coreali

261e321b546192e608edf87c47719d2173ab4645

[ "MIT" ]

null

""" Simple Example using coreali to access a register model. Needs no h^ardware""" # Import dependencies and compile register model with systemrdl-compiler from systemrdl import RDLCompiler import coreali import numpy as np import os from coreali import RegisterModel rdlc = RDLCompiler() rdlc.compile_file(os.path.dirname(__file__)+"/../systemrdl/logger.rdl") root = rdlc.elaborate() # Generate hierarchical register model rio = coreali.registerio.RegIoNoHW(np.zeros([256], np.uint8())) logger = RegisterModel(root, rio) # Use the generated register model logger.Ctrl.read() logger.LogMem.write(0,[1,2,3]) logger.LogMem.read() logger.LogMem[1].write(0,[11,12,13]) print(logger)

28.541667

82

0.769343

98

685

5.326531

0.591837

0.099617

0.061303

0

0.02623

0.109489

685

23

83

29.782609

0.829508

0.318248

0

0.052402

0

1

0

false

0

0.333333

0

0.333333

0.066667

0

null

0

null

0

1

0

1

71d0fd4625a3f29310594a80dc408cff1d45b254

1,196

py

Python

gamesystem.py

cristilianojr/JOKENPOH

604970d4f3cfbcc5f851e993af72d3bc86926ae5

[ "MIT" ]

1

2022-02-02T15:23:00.000Z

gamesystem.py

cristilianojr/JOKENPOH

604970d4f3cfbcc5f851e993af72d3bc86926ae5

[ "MIT" ]

null

gamesystem.py

cristilianojr/JOKENPOH

604970d4f3cfbcc5f851e993af72d3bc86926ae5

[ "MIT" ]

null

import random from tkinter import PhotoImage """ Esse arquivo define os estados do game """ def ia_chocer(): """IA faz a escolha de um numero aleatório""" posibility = ['rock', 'paper', 'scissor'] value = posibility[random.randint(0, 2)] return value def battle_verification(player_choice, ia_choice): state_victoryorlose = '' if player_choice == 'rock': if ia_choice == 'rock': state_victoryorlose = 'draw' elif ia_choice == 'scissor': state_victoryorlose = 'victory' elif ia_choice == 'paper': state_victoryorlose = 'defeat' elif player_choice == 'scissor': if ia_choice == 'rock': state_victoryorlose = 'defeat' elif ia_choice == 'scissor': state_victoryorlose = 'draw' elif ia_choice == 'paper': state_victoryorlose = 'victory' elif player_choice == 'paper': if ia_choice == 'rock': state_victoryorlose = 'victory' elif ia_choice == 'scissor': state_victoryorlose = 'defeat' elif ia_choice == 'paper': state_victoryorlose = 'draw' return state_victoryorlose

23

50

0.598662

123

1,196

5.601626

0.341463

0.287373

0.104499

0.060958

0.502177

0

0.002372

0.295151

1,196

51

23.45098

0.814947

0.032609

0

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0

0.119854

0

1

0.066667

false

0

0.066667

0

0.2

0

null

1

0

null

0

1

71dbada9e9753ae2bf8f715ece9e73e4bfe13daa

418

py

Python

google_search.py

Jaram2019/minwoo

d98ce8a84675281e237368cbe97d8a2120ce5840

[ "MIT" ]

null

google_search.py

Jaram2019/minwoo

d98ce8a84675281e237368cbe97d8a2120ce5840

[ "MIT" ]

null

google_search.py

Jaram2019/minwoo

d98ce8a84675281e237368cbe97d8a2120ce5840

[ "MIT" ]

null

import requests from bs4 import BeautifulSoup import re rq = requests.get("https://play.google.com/store/apps/category/GAME_MUSIC?hl=ko") rqctnt = rq.content soup = BeautifulSoup(rqctnt,"html.parser") soup = soup.find_all(attrs={'class':'title'}) blacklsit = ["앱","영화/TV","음악","도서","기기","엔터테인먼트","음악"] for link in soup: if link.text.strip() in blacklsit: pass else: print(link.text.strip())

24.588235

81

0.674641

62

418

4.516129

0.741935

0.057143

0.092857

0

0.002801

0.145933

418

16

82

26.125

0.781513

0

0.241627

0

1

0

false

0.076923

0.230769

0

0.230769

0.076923

0

null

0

null

0

1

0

1

71e26509acc4657f75e6829c9ddc1b7eeabb62a1

2,530

py

Python

Files/joinfiles.py

LeoCruzG/4chan-thread-downloader

d449e50fc7f2a6273a11da3d8ff2f46aad4951d2

[ "MIT" ]

null

Files/joinfiles.py

LeoCruzG/4chan-thread-downloader

d449e50fc7f2a6273a11da3d8ff2f46aad4951d2

[ "MIT" ]

null

Files/joinfiles.py

LeoCruzG/4chan-thread-downloader

d449e50fc7f2a6273a11da3d8ff2f46aad4951d2

[ "MIT" ]

null

# Importamos la librería para leer archivos json import json # Abrimos el archivo master en modo lectura ('r') con todos los id de los archivos descargados with open('master.json', 'r') as f: # Guardamos en la variable lista el contenido de master lista = json.load(f) # En este ejemplo se representa cómo se asignaría a la lista archivos específicos #lista = ['2095303', '2169202'] # Abrimos el archivo tryall.json en modo lectura ('w'), si no está creado previamente # se crea en este momento, se puede cambiar nombre a este archivo with open('tryall.json', 'w') as outfile: # Iniciamos un contador para ir marcando cuántos archivos llevamos unidos contador = 0 # Esta variable ayuda a guardar el nombre del archivo anterior para # corroborar si no se está repitiendo con el anterior helper = 0 # Esta variable nos indica que tenemos que escribir dentro del documento lo que hay # dentro del archivo actual update = True # Recorremos toda la lista de archivos descargados for names in lista: # Abrimos cada archivo with open(f'{names}.json') as infile: # Leemos los primeras 3 líneas infile.readline() infile.readline() infile.readline() # Guardamos el contenido de la 4° que tiene el número del thread # en una variable temportal temp = infile.readline() # Comprobamos si helper tiene el mismo contenido que temp if helper != temp: # Si es diferente se puede hacer la actualización ya que no se va # a tener threads repetidos update = True # asignamos el nuevo contenido a la variable persistente helper = temp # Si tienen el mismo contenido entonces no se hace la actualización else: update = False # Abrimos nuevamente el archivo with open(f'{names}.json') as infile: # Si el post no está repetido entra if update == True: # Se escribe el contenido completo del thread en el archivo de salida outfile.write(infile.read()) # Se aumenta el contador ya que se escribió un documento nuevo contador+=1 # Se imporime el contador con el nombre del archivo leído print(contador, names) # Se pone un salto de página para escribir el contenido del archivo siguiente outfile.write("\n")

42.166667

94

0.633992

334

2,530

4.805389

0.428144

0.02243

0.028037

0.02243

0.041122

0

0.010957

0.314625

2,530

60

95

42.166667

0.914072

0.613043

0

0.291667

0

0.052576

0

0.016667

0

1

0

false

0

0.041667

0

0.041667

0

null

0

null

0

1

0

1

71e353fb7e64c4a4a126f497726d3763f4f1a40c

2,860

py

Python

pycopula/archimedean_generators.py

SvenSerneels/pycopula

27c703ab0d25356f6e78b7cc16c8ece1ed80f871

[ "Apache-2.0" ]

2

2020-05-09T21:08:34.000Z

2021-02-23T06:58:51.000Z

pycopula/archimedean_generators.py

SvenSerneels/pycopula

27c703ab0d25356f6e78b7cc16c8ece1ed80f871

[ "Apache-2.0" ]

null

pycopula/archimedean_generators.py

SvenSerneels/pycopula

27c703ab0d25356f6e78b7cc16c8ece1ed80f871

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ This file contains the generators and their inverses for common archimedean copulas. """ import numpy as np def boundsConditions(x): if x < 0 or x > 1: raise ValueError("Unable to compute generator for x equals to {}".format(x)) def claytonGenerator(x, theta): boundsConditions(x) if theta == 0: raise ValueError("The parameter of a Clayton copula must not be equal to 0.") if theta < -1: raise ValueError("The parameter of a Clayton copula must be greater than -1 and different from 0.") return (1. / theta) * (x**(-theta) - 1.) def claytonGeneratorInvert(x, theta): if theta == 0: raise ValueError("The parameter of a Clayton copula must not be equal to 0.") if theta < -1: raise ValueError("The parameter of a Clayton copula must be greater than -1 and different from 0.") return (1. + theta * x)**(-1. / max(theta,1e-6)) def gumbelGenerator(x, theta): boundsConditions(x) if theta < 1: raise ValueError("The parameter of a Gumbel copula must be greater than 1.") return (-np.log(x))**theta def gumbelGeneratorInvert(x, theta): if len(theta) > 1: theta = theta[0] if theta < 1: raise ValueError("The parameter of a Gumbel copula must be greater than 1.") if (x < 1 and theta != 1): raise(ValueError("The inverse Gumbel generator cannot be evaluated for negative input and theta > 1")) return np.exp(-np.power(x,np.divide(1, theta))) def frankGenerator(x, theta): boundsConditions(x) if theta == 0: raise ValueError("The parameter of a Frank copula must not be equal to 0.") return -np.log((np.exp(-theta[0] * x) - 1) / (np.exp(-theta[0]) - 1)) def frankGeneratorInvert(x, theta): if theta == 0: raise ValueError("The parameter of a Frank copula must not be equal to 0.") return -1. / theta * np.log(1. + np.exp(-x) * (np.exp(-theta) - 1.)) def joeGenerator(x, theta): boundsConditions(x) if theta < 1: raise ValueError("The parameter of a Joe copula must be greater than 1.") return -np.log(1. - (1. - x)**theta) def joeGeneratorInvert(x, theta): if theta < 1: raise ValueError("The parameter of a Joe copula must be greater than 1.") return 1. - (1. - np.exp(-x))**(1. / max(theta,1e-6)) def aliMikhailHaqGenerator(x, theta): boundsConditions(x) if theta < -1 or theta >= 1: raise ValueError("The parameter of an Ali-Mikhail-Haq copula must be between -1 included and 1 excluded.") return np.log((1. - theta * (1. - x)) / x) def aliMikhailHaqGeneratorInvert(x, theta): if theta < -1 or theta >= 1: raise ValueError("The parameter of an Ali-Mikhail-Haq copula must be between -1 included and 1 excluded.") return (1. - theta) / (np.exp(x) - theta)

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0.642308

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null

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1

e07cfc67fee77a3b15475a7b5db3f7fe4ab08200

14,515

py

Python

rbc/libfuncs.py

plures/rbc

57c170c148000e7b56f0cda2f0dbea7bdcfa0e1b

[ "BSD-3-Clause" ]

1

2019-02-15T14:14:58.000Z

rbc/libfuncs.py

plures/rbc

57c170c148000e7b56f0cda2f0dbea7bdcfa0e1b

[ "BSD-3-Clause" ]

null

rbc/libfuncs.py

plures/rbc

57c170c148000e7b56f0cda2f0dbea7bdcfa0e1b

[ "BSD-3-Clause" ]

null

"""Collections of library function names. """ class Library: """Base class for a collection of library function names. """ @staticmethod def get(libname, _cache={}): if libname in _cache: return _cache[libname] if libname == 'stdlib': r = Stdlib() elif libname == 'stdio': r = Stdio() elif libname == 'm': r = Mlib() elif libname == 'libdevice': r = Libdevice() elif libname == 'nvvm': r = NVVMIntrinsics() elif libname == 'llvm': r = LLVMIntrinsics() elif libname == 'heavydb': r = HeavyDB() else: raise ValueError(f'Unknown library {libname}') _cache[libname] = r return r def __contains__(self, fname): return self.check(fname) def check(self, fname): """ Return True if library contains a function with given name. """ if fname in self._function_names: return True for func in self._function_names: if func.endswith('.*') and fname.startswith(func[:-2]): return True return False class HeavyDB(Library): name = 'heavydb' _function_names = list(''' allocate_varlen_buffer set_output_row_size TableFunctionManager_error_message TableFunctionManager_set_output_row_size table_function_error '''.strip().split()) class Stdlib(Library): """ Reference: http://www.cplusplus.com/reference/cstdlib/ """ name = 'stdlib' _function_names = list(''' atof atoi atol atoll strtod strtof strtol strtold strtoll strtoul strtoull rand srand calloc free malloc realloc abort atexit at_quick_exit exit getenv quick_exit system bsearch qsort abs div labs ldiv llabs lldiv mblen mbtowc wctomb mbstowcs wcstombs '''.strip().split()) class Stdio(Library): """ Reference: http://www.cplusplus.com/reference/cstdio/ """ name = 'stdio' _function_names = list(''' remove rename tmpfile tmpnam fclose fflush fopen freopen setbuf setvbuf fprintf fscanf printf scanf snprintf sprintf sscanf vfprintf vfscanf vprintf vscanf vsnprintf vsprintf vsscanf fgetc fgets fputc fputs getc getchar gets putc putchar puts ungetc fread fwrite fgetpos fseek fsetpos ftell rewind clearerr feof ferror perror '''.strip().split()) class Mlib(Library): """ References: https://www.gnu.org/software/libc/manual/html_node/Mathematics.html https://en.cppreference.com/w/cpp/header/cmath """ name = 'm' _function_names = list('''sin sinf sinl cos cosf cosl tan tanf tanl sincos sincosf sincosl csin csinf csinl ccos ccosf ccosl ctan ctanf ctanl asin asinf asinl acos acosf acosl atan atanf atanl atan2 atan2f atan2l casin casinf casinl cacos cacosf cacosl catan catanf catanl exp expf expl exp2 exp2f exp2l exp10 exp10f exp10l log logf logl log2 log2f log2l log10 log10f log10l logb logbf logbl ilogb ilogbf ilogbl pow powf powl sqrt sqrtf sqrtl cbrt cbrtf cbrtl hypot hypotf hypotl expm1 expm1f expm1l log1p log1pf log1pl clog clogf clogl clog10 clog10f clog10l csqrt csqrtf csqrtl cpow cpowf cpowl sinh sinhf sinhl cosh coshf coshl tanh tanhf tanhl csinh csinhf csinhl ccosh ccoshf ccoshl ctanh ctanhf ctanhl asinh asinhf asinhl acosh acoshf acoshl atanh atanhf atanhl casinh casinhf casinhl cacosh cacoshf cacoshl catanh catanhf catanhl erf erff erfl erfc erfcf erfcl lgamma lgammaf lgammal tgamma tgammaf tgammal lgamma_r lgammaf_r lgammal_r gamma gammaf gammal j0 j0f j0l j1 j1f j1l jn jnf jnl y0 y0f y0l y1 y1f y1l yn ynf ynl rand srand rand_r random srandom initstate setstate random_r srandom_r initstate_r setstate_r drand48 erand48 lrand48 nrand48 mrand48 jrand48 srand48 seed48 lcong48 drand48_r erand48_r lrand48_r nrand48_r mrand48_r jrand48_r srand48_r seed48_r lcong48_r abs labs llabs fabs fabsf fabsl cabs cabsf cabsl frexp frexpf frexpl ldexp ldexpf ldexpl scalb scalbf scalbl scalbn scalbnf scalbnl significand significandf significandl ceil ceilf ceill floor floorf floorl trunc truncf truncl rint rintf rintl nearbyint nearbyintf nearbyintl round roundf roundl roundeven roundevenf roundevenl lrint lrintf lrintl lround lroundf lroundl llround llroundf llroundl fromfp fromfpf fromfpl ufromfp ufromfpf ufromfpl fromfpx fromfpxf fromfpxl ufromfpx ufromfpxf ufromfpxl modf modff modfl fmod fmodf fmodl remainder remainderf remainderl drem dremf dreml copysign copysignf copysignl signbit signbitf signbitl nextafter nextafterf nextafterl nexttoward nexttowardf nexttowardl nextup nextupf nextupl nextdown nextdownf nextdownl nan nanf nanl canonicalize canonicalizef canonicalizel getpayload getpayloadf getpayloadl setpayload setpayloadf setpayloadl setpayloadsig setpayloadsigf setpayloadsigl isgreater isgreaterequal isless islessequal islessgreater isunordered iseqsig totalorder totalorderf totalorderl totalordermag totalorderf totalorderl fmin fminf fminl fmax fmaxf fmaxl fminmag fminmagf fminmagl fmaxmag fmaxmagf fmaxmagl fdim fdimf fdiml fma fmaf fmal fadd faddf faddl fsub fsubf fsubl fmul fmulf fmull fdiv fdivf fdivl llrint llrintf llrintl'''.strip().split()) def drop_suffix(f): s = f.rsplit('.', 1)[-1] if s in ['p0i8', 'f64', 'f32', 'i1', 'i8', 'i16', 'i32', 'i64', 'i128']: f = f[:-len(s)-1] return drop_suffix(f) return f def get_llvm_name(f, prefix='llvm.'): """Return normalized name of a llvm intrinsic name. """ if f.startswith(prefix): return drop_suffix(f[len(prefix):]) return f class LLVMIntrinsics(Library): """LLVM intrinsic function names with prefix `llvm.` removed. Reference: https://llvm.org/docs/LangRef.html#intrinsic-functions """ name = 'llvm' def check(self, fname): if fname.startswith('llvm.'): return Library.check(self, get_llvm_name(fname)) return False _function_names = list(''' va_start va_end va_copy gcroot gcread gcwrite returnaddress addressofreturnaddress sponentry frameaddress stacksave stackrestore get.dynamic.area.offset prefetch pcmarker readcyclecounter clear_cache instrprof.increment instrprof.increment.step instrprof.value.profile thread.pointer call.preallocated.setup call.preallocated.arg call.preallocated.teardown abs smax smin umax umin memcpy memcpy.inline memmove sqrt powi sin cos pow exp exp2 log log10 log2 fma fabs minnum maxnum minimum maximum copysign floor ceil trunc rint nearbyint round roundeven lround llround lrint llrint ctpop ctlz cttz fshl fshr sadd.with.overflow uadd.with.overflow ssub.with.overflow usub.with.overflow smul.with.overflow umul.with.overflow sadd.sat uadd.sat ssub.sat usub.sat sshl.sat ushl.sat smul.fix umul.fix smul.fix.sat umul.fix.sat sdiv.fix udiv.fix sdiv.fix.sat udiv.fix.sat canonicalize fmuladd set.loop.iterations test.set.loop.iterations loop.decrement.reg loop.decrement vector.reduce.add vector.reduce.fadd vector.reduce.mul vector.reduce.fmul vector.reduce.and vector.reduce.or vector.reduce.xor vector.reduce.smax vector.reduce.smin vector.reduce.umax vector.reduce.umin vector.reduce.fmax vector.reduce.fmin matrix.transpose matrix.multiply matrix.column.major.load matrix.column.major.store convert.to.fp16 convert.from.fp16 init.trampoline adjust.trampoline lifetime.start lifetime.end invariant.start invariant.end launder.invariant.group strip.invariant.group experimental.constrained.fadd experimental.constrained.fsub experimental.constrained.fmul experimental.constrained.fdiv experimental.constrained.frem experimental.constrained.fma experimental.constrained.fptoui experimental.constrained.fptosi experimental.constrained.uitofp experimental.constrained.sitofp experimental.constrained.fptrunc experimental.constrained.fpext experimental.constrained.fmuladd experimental.constrained.sqrt experimental.constrained.pow experimental.constrained.powi experimental.constrained.sin experimental.constrained.cos experimental.constrained.exp experimental.constrained.exp2 experimental.constrained.log experimental.constrained.log10 experimental.constrained.log2 experimental.constrained.rint experimental.constrained.lrint experimental.constrained.llrint experimental.constrained.nearbyint experimental.constrained.maxnum experimental.constrained.minnum experimental.constrained.maximum experimental.constrained.minimum experimental.constrained.ceil experimental.constrained.floor experimental.constrained.round experimental.constrained.roundeven experimental.constrained.lround experimental.constrained.llround experimental.constrained.trunc experimental.gc.statepoint experimental.gc.result experimental.gc.relocate experimental.gc.get.pointer.base experimental.gc.get.pointer.offset experimental.vector.reduce.add.* experimental.vector.reduce.fadd.* experimental.vector.reduce.mul.* experimental.vector.reduce.fmul.* experimental.vector.reduce.and.* experimental.vector.reduce.or.* experimental.vector.reduce.xor.* experimental.vector.reduce.smax.* experimental.vector.reduce.smin.* experimental.vector.reduce.umax.* experimental.vector.reduce.umin.* experimental.vector.reduce.fmax.* experimental.vector.reduce.fmin.* flt.rounds var.annotation ptr.annotation annotation codeview.annotation trap debugtrap stackprotector stackguard objectsize expect expect.with.probability assume ssa_copy type.test type.checked.load donothing experimental.deoptimize experimental.guard experimental.widenable.condition load.relative sideeffect is.constant ptrmask vscale memcpy.element.unordered.atomic memmove.element.unordered.atomic memset.element.unordered.atomic objc.autorelease objc.autoreleasePoolPop objc.autoreleasePoolPush objc.autoreleaseReturnValue objc.copyWeak objc.destroyWeak objc.initWeak objc.loadWeak objc.loadWeakRetained objc.moveWeak objc.release objc.retain objc.retainAutorelease objc.retainAutoreleaseReturnValue objc.retainAutoreleasedReturnValue objc.retainBlock objc.storeStrong objc.storeWeak preserve.array.access.index preserve.union.access.index preserve.struct.access.index masked.store.* memset'''.strip().split()) class NVVMIntrinsics(Library): """NVVM intrinsic function names with prefix `llvm.` removed. Reference: https://docs.nvidia.com/cuda/nvvm-ir-spec/index.html#intrinsic-functions """ name = 'nvvm' def check(self, fname): if fname.startswith('llvm.'): return Library.check(self, get_llvm_name(fname)) return False _function_names = list(''' memcpy memmove memset sqrt fma bswap ctpop ctlz cttz fmuladd convert.to.fp16.f32 convert.from.fp16.f32 convert.to.fp16 convert.from.fp16 lifetime.start lifetime.end invariant.start invariant.end var.annotation ptr.annotation annotation expect donothing '''.strip().split()) class Libdevice(Library): """NVIDIA libdevice function names with prefix `__nv_` removed. Reference: https://docs.nvidia.com/cuda/libdevice-users-guide/function-desc.html#function-desc """ name = 'libdevice' def check(self, fname): if fname.startswith('__nv_'): return Library.check(self, get_llvm_name(fname, prefix='__nv_')) return False _function_names = list(''' abs acos acosf acosh acoshf asin asinf asinh asinhf atan atan2 atan2f atanf atanh atanhf brev brevll byte_perm cbrt cbrtf ceil ceilf clz clzll copysign copysignf cos cosf cosh coshf cospi cospif dadd_rd dadd_rn dadd_ru dadd_rz ddiv_rd ddiv_rn ddiv_ru ddiv_rz dmul_rd dmul_rn dmul_ru dmul_rz double2float_rd double2float_rn double2float_ru double2float_rz double2hiint double2int_rd double2int_rn double2int_ru double2int_rz double2ll_rd double2ll_rn double2ll_ru double2ll_rz double2loint double2uint_rd double2uint_rn double2uint_ru double2uint_rz double2ull_rd double2ull_rn double2ull_ru double2ull_rz double_as_longlong drcp_rd drcp_rn drcp_ru drcp_rz dsqrt_rd dsqrt_rn dsqrt_ru dsqrt_rz erf erfc erfcf erfcinv erfcinvf erfcx erfcxf erff erfinv erfinvf exp exp10 exp10f exp2 exp2f expf expm1 expm1f fabs fabsf fadd_rd fadd_rn fadd_ru fadd_rz fast_cosf fast_exp10f fast_expf fast_fdividef fast_log10f fast_log2f fast_logf fast_powf fast_sincosf fast_sinf fast_tanf fdim fdimf fdiv_rd fdiv_rn fdiv_ru fdiv_rz ffs ffsll finitef float2half_rn float2int_rd float2int_rn float2int_ru float2int_rz float2ll_rd float2ll_rn float2ll_ru float2ll_rz float2uint_rd float2uint_rn float2uint_ru float2uint_rz float2ull_rd float2ull_rn float2ull_ru float2ull_rz float_as_int floor floorf fma fma_rd fma_rn fma_ru fma_rz fmaf fmaf_rd fmaf_rn fmaf_ru fmaf_rz fmax fmaxf fmin fminf fmod fmodf fmul_rd fmul_rn fmul_ru fmul_rz frcp_rd frcp_rn frcp_ru frcp_rz frexp frexpf frsqrt_rn fsqrt_rd fsqrt_rn fsqrt_ru fsqrt_rz fsub_rd fsub_rn fsub_ru fsub_rz hadd half2float hiloint2double hypot hypotf ilogb ilogbf int2double_rn int2float_rd int2float_rn int2float_ru int2float_rz int_as_float isfinited isinfd isinff isnand isnanf j0 j0f j1 j1f jn jnf ldexp ldexpf lgamma lgammaf ll2double_rd ll2double_rn ll2double_ru ll2double_rz ll2float_rd ll2float_rn ll2float_ru ll2float_rz llabs llmax llmin llrint llrintf llround llroundf log log10 log10f log1p log1pf log2 log2f logb logbf logf longlong_as_double max min modf modff mul24 mul64hi mulhi nan nanf nearbyint nearbyintf nextafter nextafterf normcdf normcdff normcdfinv normcdfinvf popc popcll pow powf powi powif rcbrt rcbrtf remainder remainderf remquo remquof rhadd rint rintf round roundf rsqrt rsqrtf sad saturatef scalbn scalbnf signbitd signbitf sin sincos sincosf sincospi sincospif sinf sinh sinhf sinpi sinpif sqrt sqrtf tan tanf tanh tanhf tgamma tgammaf trunc truncf uhadd uint2double_rn uint2float_rd uint2float_rn uint2float_ru uint2float_rz ull2double_rd ull2double_rn ull2double_ru ull2double_rz ull2float_rd ull2float_rn ull2float_ru ull2float_rz ullmax ullmin umax umin umul24 umul64hi umulhi urhadd usad y0 y0f y1 y1f yn ynf '''.strip().split())

46.822581

98

0.759904

1,884

14,515

5.737261

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0.008264

0

null

0

1

0

null

0

1

e086489d041ecf108f68b331e71375202940ac34

2,768

py

Python

.leetcode/506.relative-ranks.py

KuiyuanFu/PythonLeetCode

8962df2fa838eb7ae48fa59de272ba55a89756d8

[ "MIT" ]

null

.leetcode/506.relative-ranks.py

KuiyuanFu/PythonLeetCode

8962df2fa838eb7ae48fa59de272ba55a89756d8

[ "MIT" ]

null

.leetcode/506.relative-ranks.py

KuiyuanFu/PythonLeetCode

8962df2fa838eb7ae48fa59de272ba55a89756d8

[ "MIT" ]

null

# @lc app=leetcode id=506 lang=python3 # # [506] Relative Ranks # # https://leetcode.com/problems/relative-ranks/description/ # # algorithms # Easy (53.46%) # Likes: 188 # Dislikes: 9 # Total Accepted: 71.1K # Total Submissions: 132.4K # Testcase Example: '[5,4,3,2,1]' # # You are given an integer array score of size n, where score[i] is the score # of the i^th athlete in a competition. All the scores are guaranteed to be # unique. # # The athletes are placed based on their scores, where the 1^st place athlete # has the highest score, the 2^nd place athlete has the 2^nd highest score, and # so on. The placement of each athlete determines their rank: # # # The 1^st place athlete's rank is "Gold Medal". # The 2^nd place athlete's rank is "Silver Medal". # The 3^rd place athlete's rank is "Bronze Medal". # For the 4^th place to the n^th place athlete, their rank is their placement # number (i.e., the x^th place athlete's rank is "x"). # # # Return an array answer of size n where answer[i] is the rank of the i^th # athlete. # # # Example 1: # # # Input: score = [5,4,3,2,1] # Output: ["Gold Medal","Silver Medal","Bronze Medal","4","5"] # Explanation: The placements are [1^st, 2^nd, 3^rd, 4^th, 5^th]. # # Example 2: # # # Input: score = [10,3,8,9,4] # Output: ["Gold Medal","5","Bronze Medal","Silver Medal","4"] # Explanation: The placements are [1^st, 5^th, 3^rd, 2^nd, 4^th]. # # # # # Constraints: # # # n == score.length # 1 <= n <= 10^4 # 0 <= score[i] <= 10^6 # All the values in score are unique. # # # # @lc tags=Unknown # @lc imports=start from imports import * # @lc imports=end # @lc idea=start # # 排序。 # # @lc idea=end # @lc group= # @lc rank= # @lc code=start class Solution: def findRelativeRanks(self, score: List[int]) -> List[str]: s = [(-s, i) for i, s in enumerate(score)] s.sort() ss = ['Gold Medal', 'Silver Medal', 'Bronze Medal'] def toS(idx): if idx >= 3: return str(idx + 1) return ss[idx] res = [''] * len(score) for idx, (_, i) in enumerate(s): res[i] = toS(idx) return res # @lc code=end # @lc main=start if __name__ == '__main__': print('Example 1:') print('Input : ') print('score = [5,4,3,2,1]') print('Exception :') print('["Gold Medal","Silver Medal","Bronze Medal","4","5"]') print('Output :') print(str(Solution().findRelativeRanks([5, 4, 3, 2, 1]))) print() print('Example 2:') print('Input : ') print('score = [10,3,8,9,4]') print('Exception :') print('["Gold Medal","5","Bronze Medal","Silver Medal","4"]') print('Output :') print(str(Solution().findRelativeRanks([10, 3, 8, 9, 4]))) print() pass # @lc main=end

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null

0

null

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0

1

e086d33095f9872583586fa709b215338a8bb617

8,084

py

Python

application/core/migrations/0001_initial.py

victor-freitas/ProjetoNCS

7c80fad11e49f4ed00eefb90638730d340d78e1f

[ "Apache-2.0" ]

null

application/core/migrations/0001_initial.py

victor-freitas/ProjetoNCS

7c80fad11e49f4ed00eefb90638730d340d78e1f

[ "Apache-2.0" ]

2

2020-06-05T18:58:17.000Z

2021-06-10T20:50:12.000Z

application/core/migrations/0001_initial.py

victor-freitas/ProjetoNCS

7c80fad11e49f4ed00eefb90638730d340d78e1f

[ "Apache-2.0" ]

1

2018-09-17T18:14:18.000Z

# Generated by Django 2.0.6 on 2018-06-17 04:47 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Cliente', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('cpf_cnpj', models.IntegerField(db_column='CPF_CNPJ', unique=True)), ('razao', models.CharField(blank=True, db_column='RAZAO', max_length=100, null=True)), ('endereco', models.CharField(db_column='ENDERECO', max_length=80)), ('cep', models.CharField(db_column='CEP', max_length=20)), ('email', models.CharField(db_column='EMAIL', max_length=200)), ('telefone', models.CharField(db_column='TELEFONE', max_length=11)), ('celular', models.CharField(blank=True, db_column='CELULAR', max_length=11, null=True)), ], options={ 'db_table': 'Cliente', 'managed': False, }, ), migrations.CreateModel( name='Fornecedor', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('cpf_cnpj', models.IntegerField(db_column='CPF_CNPJ', unique=True)), ('razao', models.CharField(blank=True, db_column='RAZAO', max_length=100, null=True)), ('endereco', models.CharField(db_column='ENDERECO', max_length=80)), ('cep', models.CharField(db_column='CEP', max_length=20)), ('email', models.CharField(db_column='EMAIL', max_length=200)), ('telefone', models.CharField(db_column='TELEFONE', max_length=11)), ('celular', models.CharField(blank=True, db_column='CELULAR', max_length=11, null=True)), ('pessoa_contato', models.CharField(blank=True, db_column='PESSOA_CONTATO', max_length=100, null=True)), ], options={ 'db_table': 'Fornecedor', 'managed': False, }, ), migrations.CreateModel( name='Funcionario', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('nome', models.CharField(db_column='NOME', max_length=100)), ('cpf', models.IntegerField(db_column='CPF')), ('cargo', models.SmallIntegerField(db_column='CARGO')), ('login', models.CharField(db_column='LOGIN', max_length=100)), ('senha', models.CharField(db_column='SENHA', max_length=50)), ], options={ 'db_table': 'Funcionario', 'managed': False, }, ), migrations.CreateModel( name='Materiaprima', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('nome', models.CharField(db_column='NOME', max_length=60)), ('forma_emb', models.CharField(db_column='FORMA_EMB', max_length=60)), ('peso', models.CharField(db_column='PESO', max_length=20)), ('unid_medida', models.CharField(db_column='UNID_MEDIDA', max_length=50)), ('quantidade', models.IntegerField(db_column='QUANTIDADE')), ('quantidade_min', models.IntegerField(db_column='QUANTIDADE_MIN')), ('descricao', models.CharField(db_column='DESCRICAO', max_length=500)), ('data_recebimento', models.DateField(db_column='DATA_RECEBIMENTO')), ], options={ 'db_table': 'MateriaPrima', 'managed': False, }, ), migrations.CreateModel( name='Ordemdeproducao', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('descricao', models.CharField(db_column='Descricao', max_length=500)), ], options={ 'db_table': 'OrdemDeProducao', 'managed': False, }, ), migrations.CreateModel( name='Pedido', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('data_pedido', models.DateField(db_column='DATA_PEDIDO')), ('valor', models.CharField(blank=True, db_column='VALOR', max_length=20, null=True)), ], options={ 'db_table': 'Pedido', 'managed': False, }, ), migrations.CreateModel( name='Pedidomp', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('data_pedido', models.DateField(db_column='DATA_PEDIDO')), ('data_prevista', models.DateField(db_column='DATA_PREVISTA')), ('descricao', models.CharField(blank=True, db_column='DESCRICAO', max_length=500, null=True)), ('valor', models.CharField(blank=True, db_column='VALOR', max_length=20, null=True)), ], options={ 'db_table': 'PedidoMP', 'managed': False, }, ), migrations.CreateModel( name='Produto', fields=[ ('id', models.AutoField(db_column='ID', primary_key=True, serialize=False)), ('nome', models.CharField(db_column='NOME', max_length=60)), ('forma_emb', models.CharField(db_column='FORMA_EMB', max_length=60)), ('peso', models.CharField(db_column='PESO', max_length=20)), ('unid_medida', models.CharField(db_column='UNID_MEDIDA', max_length=50)), ('preco', models.CharField(blank=True, db_column='PRECO', max_length=10, null=True)), ('quantidade', models.IntegerField(blank=True, db_column='QUANTIDADE', null=True)), ('desc_produto', models.CharField(db_column='DESC_PRODUTO', max_length=500)), ], options={ 'db_table': 'Produto', 'managed': False, }, ), migrations.CreateModel( name='Setor', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('nome', models.CharField(db_column='NOME', max_length=100)), ], options={ 'db_table': 'Setor', 'managed': False, }, ), migrations.CreateModel( name='Statusordemproducao', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('status_nome', models.CharField(db_column='STATUS_NOME', max_length=30)), ], options={ 'db_table': 'StatusOrdemProducao', 'managed': False, }, ), migrations.CreateModel( name='Tipoproduto', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('nome', models.CharField(db_column='NOME', max_length=100)), ], options={ 'db_table': 'TipoProduto', 'managed': False, }, ), migrations.CreateModel( name='Tiposeguimento', fields=[ ('id', models.SmallIntegerField(db_column='ID', primary_key=True, serialize=False)), ('nome', models.CharField(db_column='NOME', max_length=100)), ], options={ 'db_table': 'TipoSeguimento', 'managed': False, }, ), ]

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e088029d2dd84f5afa6eb4738d0ecbd65b7b7d99

3,718

py

Python

awacs/proton.py

alanjjenkins/awacs

0065e1833eae6a6070edb4ab4f180fd10b26c19a

[ "BSD-2-Clause" ]

null

awacs/proton.py

alanjjenkins/awacs

0065e1833eae6a6070edb4ab4f180fd10b26c19a

[ "BSD-2-Clause" ]

null

awacs/proton.py

alanjjenkins/awacs

0065e1833eae6a6070edb4ab4f180fd10b26c19a

[ "BSD-2-Clause" ]

null

# Copyright (c) 2012-2021, Mark Peek <mark@peek.org> # All rights reserved. # # See LICENSE file for full license. from .aws import Action as BaseAction from .aws import BaseARN service_name = "AWS Proton" prefix = "proton" class Action(BaseAction): def __init__(self, action: str = None) -> None: super().__init__(prefix, action) class ARN(BaseARN): def __init__(self, resource: str = "", region: str = "", account: str = "") -> None: super().__init__( service=prefix, resource=resource, region=region, account=account ) CreateEnvironment = Action("CreateEnvironment") CreateEnvironmentTemplate = Action("CreateEnvironmentTemplate") CreateEnvironmentTemplateMajorVersion = Action("CreateEnvironmentTemplateMajorVersion") CreateEnvironmentTemplateMinorVersion = Action("CreateEnvironmentTemplateMinorVersion") CreateService = Action("CreateService") CreateServiceTemplate = Action("CreateServiceTemplate") CreateServiceTemplateMajorVersion = Action("CreateServiceTemplateMajorVersion") CreateServiceTemplateMinorVersion = Action("CreateServiceTemplateMinorVersion") DeleteAccountRoles = Action("DeleteAccountRoles") DeleteEnvironment = Action("DeleteEnvironment") DeleteEnvironmentTemplate = Action("DeleteEnvironmentTemplate") DeleteEnvironmentTemplateMajorVersion = Action("DeleteEnvironmentTemplateMajorVersion") DeleteEnvironmentTemplateMinorVersion = Action("DeleteEnvironmentTemplateMinorVersion") DeleteService = Action("DeleteService") DeleteServiceTemplate = Action("DeleteServiceTemplate") DeleteServiceTemplateMajorVersion = Action("DeleteServiceTemplateMajorVersion") DeleteServiceTemplateMinorVersion = Action("DeleteServiceTemplateMinorVersion") GetAccountRoles = Action("GetAccountRoles") GetEnvironment = Action("GetEnvironment") GetEnvironmentTemplate = Action("GetEnvironmentTemplate") GetEnvironmentTemplateMajorVersion = Action("GetEnvironmentTemplateMajorVersion") GetEnvironmentTemplateMinorVersion = Action("GetEnvironmentTemplateMinorVersion") GetService = Action("GetService") GetServiceInstance = Action("GetServiceInstance") GetServiceTemplate = Action("GetServiceTemplate") GetServiceTemplateMajorVersion = Action("GetServiceTemplateMajorVersion") GetServiceTemplateMinorVersion = Action("GetServiceTemplateMinorVersion") ListEnvironmentTemplateMajorVersions = Action("ListEnvironmentTemplateMajorVersions") ListEnvironmentTemplateMinorVersions = Action("ListEnvironmentTemplateMinorVersions") ListEnvironmentTemplates = Action("ListEnvironmentTemplates") ListEnvironments = Action("ListEnvironments") ListServiceInstances = Action("ListServiceInstances") ListServiceTemplateMajorVersions = Action("ListServiceTemplateMajorVersions") ListServiceTemplateMinorVersions = Action("ListServiceTemplateMinorVersions") ListServiceTemplates = Action("ListServiceTemplates") ListServices = Action("ListServices") ListTagsForResource = Action("ListTagsForResource") TagResource = Action("TagResource") UntagResource = Action("UntagResource") UpdateAccountRoles = Action("UpdateAccountRoles") UpdateEnvironment = Action("UpdateEnvironment") UpdateEnvironmentTemplate = Action("UpdateEnvironmentTemplate") UpdateEnvironmentTemplateMajorVersion = Action("UpdateEnvironmentTemplateMajorVersion") UpdateEnvironmentTemplateMinorVersion = Action("UpdateEnvironmentTemplateMinorVersion") UpdateService = Action("UpdateService") UpdateServiceInstance = Action("UpdateServiceInstance") UpdateServicePipeline = Action("UpdateServicePipeline") UpdateServiceTemplate = Action("UpdateServiceTemplate") UpdateServiceTemplateMajorVersion = Action("UpdateServiceTemplateMajorVersion") UpdateServiceTemplateMinorVersion = Action("UpdateServiceTemplateMinorVersion")

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0

null

0

1

e08bf2bd2a9a71b40e56dae49102323a555d5695

3,664

py

Python

test/unit/mysql_class/slaverep_isslverror.py

deepcoder42/mysql-lib

d3d2459e0476fdbc4465e1d9389612e58d36fb25

[ "MIT" ]

1

2022-03-23T04:53:19.000Z

test/unit/mysql_class/slaverep_isslverror.py

deepcoder42/mysql-lib

d3d2459e0476fdbc4465e1d9389612e58d36fb25

[ "MIT" ]

null

test/unit/mysql_class/slaverep_isslverror.py

deepcoder42/mysql-lib

d3d2459e0476fdbc4465e1d9389612e58d36fb25

[ "MIT" ]

null

#!/usr/bin/python # Classification (U) """Program: slaverep_isslverror.py Description: Unit testing of SlaveRep.is_slv_error in mysql_class.py. Usage: test/unit/mysql_class/slaverep_isslverror.py Arguments: """ # Libraries and Global Variables # Standard import sys import os if sys.version_info < (2, 7): import unittest2 as unittest else: import unittest # Third-party # Local sys.path.append(os.getcwd()) import mysql_class import lib.machine as machine import version __version__ = version.__version__ class UnitTest(unittest.TestCase): """Class: UnitTest Description: Class which is a representation of a unit testing. Methods: setUp -> Initialize testing environment. test_slv_both_true -> Test with all attrs set to True. test_sql_err_true -> Test with sql_err set to True. test_io_err_true -> Test with io_err set to True. test_default -> Test show_slv_state method. """ def setUp(self): """Function: setUp Description: Initialization for unit testing. Arguments: """ self.name = "Mysql_Server" self.server_id = 10 self.sql_user = "mysql_user" self.sql_pass = "my_japd" self.machine = getattr(machine, "Linux")() self.host = "host_server" self.port = 3307 self.defaults_file = "def_cfg_file" self.extra_def_file = "extra_cfg_file" def test_slv_both_true(self): """Function: test_slv_both_true Description: Test with all attrs set to True. Arguments: """ mysqlrep = mysql_class.SlaveRep(self.name, self.server_id, self.sql_user, self.sql_pass, self.machine, defaults_file=self.defaults_file) mysqlrep.sql_err = "Yes" mysqlrep.io_err = "Yes" self.assertTrue(mysqlrep.is_slv_error()) def test_sql_err_true(self): """Function: test_sql_err_true Description: Test with sql_err set to True. Arguments: """ mysqlrep = mysql_class.SlaveRep(self.name, self.server_id, self.sql_user, self.sql_pass, self.machine, defaults_file=self.defaults_file) mysqlrep.sql_err = "Yes" mysqlrep.io_err = None self.assertTrue(mysqlrep.is_slv_error()) def test_io_err_true(self): """Function: test_io_err_true Description: Test with io_err set to True. Arguments: """ mysqlrep = mysql_class.SlaveRep(self.name, self.server_id, self.sql_user, self.sql_pass, self.machine, defaults_file=self.defaults_file) mysqlrep.sql_err = None mysqlrep.io_err = "Yes" self.assertTrue(mysqlrep.is_slv_error()) def test_default(self): """Function: test_default Description: Test is_slv_error method. Arguments: """ mysqlrep = mysql_class.SlaveRep(self.name, self.server_id, self.sql_user, self.sql_pass, self.machine, defaults_file=self.defaults_file) mysqlrep.sql_err = None mysqlrep.io_err = None self.assertFalse(mysqlrep.is_slv_error()) if __name__ == "__main__": unittest.main()

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null

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1

e09320dd89276dff3fa36b0f354e1b3cd7cffc60

1,767

py

Python

Python2/src/main.py

nataddrho/digicueblue

246c87129e6a70d384b1553688672bb3d5c6643e

[ "MIT" ]

8

2017-11-02T16:04:15.000Z

2021-11-21T18:36:18.000Z

Python2/src/main.py

nataddrho/digicueblue

246c87129e6a70d384b1553688672bb3d5c6643e

[ "MIT" ]

2

2018-01-09T15:15:12.000Z

2018-10-11T23:56:59.000Z

Python2/src/main.py

nataddrho/digicueblue

246c87129e6a70d384b1553688672bb3d5c6643e

[ "MIT" ]

5

2018-01-08T16:06:45.000Z

2021-11-21T19:50:20.000Z

#!/usr/bin/env python # Nathan Rhoades 10/13/2017 import serial import serialport import bgapi import gui import digicueblue import traceback import time import threading import sys if sys.version_info[0] < 3: import Tkinter as Tk else: import tkinter as Tk class App(threading.Thread): # thread GUI to that BGAPI can run in background def __init__(self, dcb): self.dcb = dcb threading.Thread.__init__(self) self.start() def callback(self): self.root.quit() def run(self): self.root = Tk.Tk() self.gui = gui.GUI(self.root, self.dcb) self.root.mainloop() def main(): try: f = open("comport.cfg", "r") comport = f.readline().strip(' ') f.close() except BaseException: # open comport selection gui serialport.launch_selection() return try: # open serial port and launch application print "Opening %s" % comport ser = serial.Serial(comport, 115200, timeout=1, writeTimeout=1) dcb = digicueblue.DigicueBlue(filename="data.csv", debugprint=False) app = App(dcb) bg = bgapi.Bluegiga(dcb, ser, debugprint=True) except BaseException: print traceback.format_exc() try: ser.close() except BaseException: pass text = """Please make sure the BLED112 dongle is plugged into the COM port specified in comport.cfg, and that no other programs are using the port. Use the serialport GUI to help select the correct port.""" text = text.replace('\n', ' ') text = text.replace('\t', '') print text serialport.launch_selection() if __name__ == '__main__': main()

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0.028222

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0

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0.288625

1,767

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0

null

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0.207547

null

0.09434

0

null

0

null

0

1

0

1

e098554863c066d539fc03234656fd767444cd09

477

py

Python

webapp/ex.py

jykim-rust/python

50efe51733976d9f8ae3be47d628601ad002d836

[ "MIT" ]

null

webapp/ex.py

jykim-rust/python

50efe51733976d9f8ae3be47d628601ad002d836

[ "MIT" ]

null

webapp/ex.py

jykim-rust/python

50efe51733976d9f8ae3be47d628601ad002d836

[ "MIT" ]

null

from flask import escape '''with open('ex') as full: for line in full: print(line,end='**') ''' ''' a=[] with open('ex') as full: for line in full: a.append(line.split('|')) print(a) ''' ''' with open('ex') as full: for line in full.readline(): print(line) ''' contents=[] with open('ex') as log: for line in log: #contents.append([]) for item in line.split('|'): contents.append(item) print(contents)

14.90625

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0.124031

0.155039

0.186047

0.344961

0.232558

0

0.27044

477

31

37

15.387097

0.741379

0.039832

0

0.016129

0

1

0

false

0

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0

0.142857

0

null

0

1

0

null

0

1

e09cac0b5e9ae4638a705a4871a79857b3f43a52

1,049

py

Python

analysis/migrations/0032_auto_20210409_1333.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

5

2021-01-14T03:34:42.000Z

2022-03-07T15:34:18.000Z

analysis/migrations/0032_auto_20210409_1333.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

551

2020-10-19T00:02:38.000Z

2022-03-30T02:18:22.000Z

analysis/migrations/0032_auto_20210409_1333.py

SACGF/variantgrid

515195e2f03a0da3a3e5f2919d8e0431babfd9c9

[ "RSA-MD" ]

null

# Generated by Django 3.1.3 on 2021-04-09 04:03 import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('snpdb', '0030_one_off_fix_cohort_sample_order'), ('analysis', '0031_auto_20210331_1826'), ] operations = [ migrations.AddField( model_name='varianttag', name='genome_build', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='snpdb.genomebuild'), ), migrations.AddField( model_name='varianttag', name='location', field=models.CharField(choices=[('A', 'Analysis'), ('E', 'External Import'), ('G', 'Gene Page'), ('V', 'Variant Details')], default='A', max_length=1), ), migrations.AlterField( model_name='varianttag', name='analysis', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, to='analysis.analysis'), ), ]

33.83871

163

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0.066986

0.105263

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0

0.045226

0.241182

1,049

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0.25

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null

0

1

0

null

0

1

e0a616cc9e84aa1cf90226b12de930157c9cb478

2,538

py

Python

src/Products/Five/viewlet/viewlet.py

rbanffy/Zope

ecf6770219052e7c7f8c9634ddf187a1e6280742

[ "ZPL-2.1" ]

289

2015-01-05T12:38:21.000Z

2022-03-05T21:20:39.000Z

src/Products/Five/viewlet/viewlet.py

rbanffy/Zope

ecf6770219052e7c7f8c9634ddf187a1e6280742

[ "ZPL-2.1" ]

732

2015-02-09T23:35:57.000Z

2022-03-31T09:10:13.000Z

src/Products/Five/viewlet/viewlet.py

rbanffy/Zope

ecf6770219052e7c7f8c9634ddf187a1e6280742

[ "ZPL-2.1" ]

102

2015-01-12T14:03:35.000Z

2022-03-30T11:02:44.000Z

############################################################################## # # Copyright (c) 2006 Zope Foundation and Contributors. # All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED # WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED # WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS # FOR A PARTICULAR PURPOSE. # ############################################################################## """Viewlet. """ import os import zope.viewlet.viewlet from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile class ViewletBase(zope.viewlet.viewlet.ViewletBase): pass class SimpleAttributeViewlet(zope.viewlet.viewlet.SimpleAttributeViewlet): pass class simple(zope.viewlet.viewlet.simple): # We need to ensure that the proper __init__ is called. __init__ = ViewletBase.__init__ def SimpleViewletClass(template, bases=(), attributes=None, name=''): """A function that can be used to generate a viewlet from a set of information. """ # Create the base class hierarchy bases += (simple, ViewletBase) attrs = {'index': ViewPageTemplateFile(template), '__name__': name} if attributes: attrs.update(attributes) # Generate a derived view class. class_ = type("SimpleViewletClass from %s" % template, bases, attrs) return class_ class ResourceViewletBase(zope.viewlet.viewlet.ResourceViewletBase): pass def JavaScriptViewlet(path): """Create a viewlet that can simply insert a javascript link.""" src = os.path.join(os.path.dirname(__file__), 'javascript_viewlet.pt') klass = type('JavaScriptViewlet', (ResourceViewletBase, ViewletBase), {'index': ViewPageTemplateFile(src), '_path': path}) return klass class CSSResourceViewletBase(zope.viewlet.viewlet.CSSResourceViewletBase): pass def CSSViewlet(path, media="all", rel="stylesheet"): """Create a viewlet that can simply insert a javascript link.""" src = os.path.join(os.path.dirname(__file__), 'css_viewlet.pt') klass = type('CSSViewlet', (CSSResourceViewletBase, ViewletBase), {'index': ViewPageTemplateFile(src), '_path': path, '_media': media, '_rel': rel}) return klass

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0

null

0

null

0

1

0

1

e0a621c3b559223c04896e67f79d61f3971a7ebf

920

py

Python

problema21.py

bptfreitas/Project-Euler

02b3ef8f8e3754b886b266fcd5eee7fd00d97dde

[ "MIT" ]

null

problema21.py

bptfreitas/Project-Euler

02b3ef8f8e3754b886b266fcd5eee7fd00d97dde

[ "MIT" ]

null

problema21.py

bptfreitas/Project-Euler

02b3ef8f8e3754b886b266fcd5eee7fd00d97dde

[ "MIT" ]

null

#Let d(n) be defined as the sum of proper divisors of n (numbers less than n which divide evenly into n). #If d(a) = b and d(b) = a, where a b, then a and b are an amicable pair and each of a and b are called amicable numbers. #For example, the proper divisors of 220 are 1, 2, 4, 5, 10, 11, 20, 22, 44, 55 and 110; therefore d(220) = 284. The proper divisors of 284 are 1, 2, 4, 71 and 142; so d(284) = 220. #Evaluate the sum of all the amicable numbers under 10000. import euler def d(n): return sum(euler.get_divisors(n)) print euler.get_divisors(284) print sum(euler.get_divisors(284)) limit=10000 perc=5 step=perc*limit/100 cp=0 a=1 amics=[] print "Starting..." for a in range(1,limit+1): b=d(a) if a==d(b) and a!=b: print "Pair:" + str(a) + " and " + str(b) if (a not in amics): amics.append(a) if (b not in amics): amics.append(b) print "Sum of amicables:" print sum(amics)

20.444444

181

0.661957

185

920

3.275676

0.394595

0.024752

0.079208

0.026403

0.069307

0

0.095041

0.21087

920

44

182

20.909091

0.739669

0.501087

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0.0837

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null

0

0.045455

null

0.272727

0

null

0

null

0

1

0

1

e0a906006c6cdb005397afa90c409162626abaca

536

py

Python

tkinter_examples/draw_chess_board.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

117

2015-12-18T07:18:27.000Z

2022-03-28T00:25:54.000Z

tkinter_examples/draw_chess_board.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

8

2018-10-03T09:38:46.000Z

2021-12-13T19:51:09.000Z

tkinter_examples/draw_chess_board.py

DazEB2/SimplePyScripts

1dde0a42ba93fe89609855d6db8af1c63b1ab7cc

[ "CC-BY-4.0" ]

28

2016-08-02T17:43:47.000Z

2022-03-21T08:31:12.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- __author__ = 'ipetrash' from tkinter import * root = Tk() root.title('Chess board') canvas = Canvas(root, width=700, height=700, bg='#fff') canvas.pack() fill = '#fff' outline = '#000' size = 88 for i in range(8): for j in range(8): x1, y1, x2, y2 = i * size, j * size, i * size + size, j * size + size canvas.create_rectangle(x1, y1, x2, y2, fill=fill, outline=outline) fill, outline = outline, fill fill, outline = outline, fill root.mainloop()

18.482759

77

0.606343

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536

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0.103125

0.16875

0.20625

0.1625

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0.05569

0.229478

536

28

78

19.142857

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0.080224

0

0.125

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0.063136

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false

0

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0.0625

0

null

0

1

0

null

0

1

e0b07a325b5b8caffedac977ee80452502819e41

4,103

py

Python

reproducing/generator_datacreation/data/readers/SEReader.py

UKPLab/emnlp2019-duplicate_question_detection

17a9d97c2414666fcc08015a58619fe9722daf2b

[ "Apache-2.0" ]

5

2019-09-30T11:09:39.000Z

2020-07-17T07:32:17.000Z

reproducing/generator_datacreation/data/readers/SEReader.py

UKPLab/emnlp2019-duplicate_question_detection

17a9d97c2414666fcc08015a58619fe9722daf2b

[ "Apache-2.0" ]

1

2020-07-17T07:32:46.000Z

2020-07-17T07:34:19.000Z

reproducing/generator_datacreation/data/readers/SEReader.py

UKPLab/emnlp2019-duplicate_question_detection

17a9d97c2414666fcc08015a58619fe9722daf2b

[ "Apache-2.0" ]

2

2020-04-09T01:27:50.000Z

2022-03-12T07:53:15.000Z

import logging import subprocess import xml.etree.ElementTree as ET from tqdm import tqdm logger = logging.getLogger('root') POST_TYPE_QUESTION = '1' POST_TYPE_ANSWER = '2' class SEDataReader(object): """ NOTE: - a typical xml string for question in original data looks like <row Id="4" PostTypeId="1" AcceptedAnswerId="7" CreationDate="2008-07-31T21:42:52.667" Score="543" ViewCount="34799" Body="<p>I want to use a track-bar to change a form's opacity.</p>

<p>This is my code:</p>

<pre><code>decimal trans = trackBar1.Value / 5000;
this.Opacity = trans;
</code></pre>

<p>When I build the application, it gives the following error:</p>

<blockquote>
 <p>Cannot implicitly convert type <code>'decimal'</code> to <code>'double'</code>.</p>
</blockquote>

<p>I tried using <code>trans</code> and <code>double</code> but then the control doesn't work. This code worked fine in a past VB.NET project.</p>
" OwnerUserId="8" LastEditorUserId="3151675" LastEditorDisplayName="Rich B" LastEditDate="2017-09-27T05:52:59.927" LastActivityDate="2018-02-22T16:40:13.577" Title="While applying opacity to a form, should we use a decimal or a double value?" Tags="<c#><winforms><type-conversion><decimal><opacity>" AnswerCount="13" CommentCount="1" FavoriteCount="39" CommunityOwnedDate="2012-10-31T16:42:47.213" /> """ num_skipped_sample_none = 0 num_skipped_other_posttype = 0 num_retrieved = 0 def __init__(self, data_file_path): """ data_file_path : (string) path to the posts.xml file """ self.data_file_path = data_file_path def question_data_filter(self, sample): return dict((k, sample.get(k, None)) for k in ['Id', 'Title', 'Body', 'Tags', 'ParentId', 'PostTypeId']) def n_items_unfiltered(self): out = subprocess.check_output(['wc', '-l', self.data_file_path]) return int(out.split()[0]) def read_items(self, allowed_post_types=(POST_TYPE_QUESTION, ), min_score=0, max_year=None): questions_dict = dict() if POST_TYPE_ANSWER in allowed_post_types else None with open(self.data_file_path, 'r') as f: for l in tqdm(f): try: sample = ET.fromstring(l.strip()).attrib except ET.ParseError as e: print('(Ignoring) ERROR in parsing line (QUESTION READER):\n{}\n'.format(l.strip)) sample = None if sample: if questions_dict is not None and sample['PostTypeId'] == POST_TYPE_QUESTION: filtered_sample = self.question_data_filter(sample) questions_dict[filtered_sample['Id']] = filtered_sample has_min_score = int(sample['Score']) >= min_score has_max_year = True if max_year is None else int(sample['CreationDate'][:4]) <= max_year if sample['PostTypeId'] in allowed_post_types and has_max_year and has_min_score: SEDataReader.num_retrieved += 1 filtered_sample = self.question_data_filter(sample) if sample['PostTypeId'] == POST_TYPE_ANSWER: q = questions_dict.get(filtered_sample['ParentId'], None) if q is None: print('Skipping answer because parent question is unknown') continue else: filtered_sample['Title'] = q.get('Title') filtered_sample['Tags'] = q.get('Tags') yield filtered_sample else: SEDataReader.num_skipped_other_posttype += 1 else: SEDataReader.num_skipped_sample_none += 1

55.445946

1,284

0.604436

562

4,103

4.265125

0.371886

0.012516

0.020859

0.014602

0.112641

0.10096

0.076763

0

0.035857

0.265903

4,103

73

1,285

56.205479

0.75996

0.341945

0

0.102041

0

0.08509

0

1

0.081633

false

0

0.081633

0.020408

0.285714

0.040816

0

null

0

1

0

null

0

1

e0b36f9e11e7c9c01752718dbe837832a4596d2c

533

py

Python

sra_django_api/user/migrations/0003_auto_20180914_1242.py

tflati/ncbi-search

2f31c57ffb95c2c874b65c03c58edd96eb822dfb

[ "MIT" ]

null

sra_django_api/user/migrations/0003_auto_20180914_1242.py

tflati/ncbi-search

2f31c57ffb95c2c874b65c03c58edd96eb822dfb

[ "MIT" ]

null

sra_django_api/user/migrations/0003_auto_20180914_1242.py

tflati/ncbi-search

2f31c57ffb95c2c874b65c03c58edd96eb822dfb

[ "MIT" ]

null

# Generated by Django 2.0.3 on 2018-09-14 12:42 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('user', '0002_project'), ] operations = [ migrations.RenameField( model_name='project', old_name='file_path', new_name='base_path', ), migrations.AlterField( model_name='project', name='creation_date', field=models.DateTimeField(auto_now_add=True), ), ]

22.208333

58

0.572233

55

533

5.363636

0.745455

0.061017

0.108475

0

0.052055

0.315197

533

23

59

23.173913

0.756164

0.084428

0

0.235294

1

0

0.125514

0

1

0

false

0

0.058824

0

0.235294

0

null

0

1

0

null

0

1

e0b6b0833654d657edf6b38b5e343a5dbb47c6d9

825

py

Python

text.py

Kedyn/PingPong

47e39a9d30e1a3a7b828c5b5e85b0666d67b0d7b

[ "MIT" ]

null

text.py

Kedyn/PingPong

47e39a9d30e1a3a7b828c5b5e85b0666d67b0d7b

[ "MIT" ]

null

text.py

Kedyn/PingPong

47e39a9d30e1a3a7b828c5b5e85b0666d67b0d7b

[ "MIT" ]

null

import pygame.font import copy class Text: """Draws a text to the screen.""" def __init__(self, rect, size, color, screen, text): self.screen = screen self.rect = copy.deepcopy(rect) self.text = text self.color = color self.font = pygame.font.SysFont(None, size) self.text_image = None self.text_image_rect = None self.prep_img() def prep_img(self): """Turn msg into a rendered image, and center text on the button.""" self.text_image = self.font.render(self.text, True, self.color) self.text_image_rect = self.text_image.get_rect() self.text_image_rect.center = self.rect.center def render(self): self.screen.blit(self.text_image, self.text_image_rect)

27.5

76

0.604848

111

825

4.324324

0.315315

0.166667

0.216667

0.141667

0

0.293333

825

29

77

28.448276

0.823328

0.109091

0

1

0.157895

false

0

0.105263

0

0.315789

0

null

0

1

0

null

0

1

e0ba84d4c91d76772295ffa29072d6de02d1a1ae

4,516

py

Python

analyzer/BannerTool.py

Gr1ph00n/staticwebanalyzer

8bf6337a77192b85913d75778830ccbb9006081f

[ "MIT" ]

null

analyzer/BannerTool.py

Gr1ph00n/staticwebanalyzer

8bf6337a77192b85913d75778830ccbb9006081f

[ "MIT" ]

null

analyzer/BannerTool.py

Gr1ph00n/staticwebanalyzer

8bf6337a77192b85913d75778830ccbb9006081f

[ "MIT" ]

null

#FILE NAME: BannerTool.py #created by: Ciro Veneruso #purpose: banner localization #last edited by: Ciro Veneruso #INSTALL: BeautifulSoup #TODO: this code is a blob, must be refactorized!!!! import re import mechanize import socket import urllib from tools import BaseTool from bs4 import BeautifulSoup from pprint import pprint from ipwhois import IPWhois, WhoisLookupError from tld import get_tld import urlparse from tld.exceptions import TldIOError, TldDomainNotFound, TldBadUrl from tools import ToolException class BannerTool(BaseTool): def __init__(self, config): BaseTool.__init__(self, "BannerAnalyzer", config, needRefresh = True) self.values = [] def run(self, browser): try: url = browser.url.replace('http://','') print url+"\n" #response = browser.open(url) html = browser.httpResponse #response.get_data() site_domain_name = get_tld(browser.url) #print(site_domain_name) soup = BeautifulSoup(html) links = soup.findAll('a') response_domain = "" addr = "" name = "" state = "" city = "" description = "" country = "" foo_flag = 0 flag = 0 for link in links: foo = link.findChild('img') #print foo if foo is not None: foo_flag = 1 flag = 1 href = link.get('href') if href is None: continue print(href+"\n") if href.startswith('/'): response_domain ="link interno" print ("link interno\n") elif href.startswith('/'): response_domain ="Link interno" print ("link interno\n") elif href.startswith("http://"+url): response_domain ="link interno" print ("link interno\n") elif href.startswith("https://"+url): response_domain ="link interno" print ("link interno\n") else: response_domain ="link esterno" print ("link esterno... Geolocalizzazione:\n") try: banner_domain_name = get_tld(href) print(banner_domain_name+"\n") print(site_domain_name) url = 'https://' + url if not banner_domain_name.startswith('http') else banner_domain_name.replace('http:', 'https:') parsed = urlparse.urlparse(url) hostname = "%s://%s" % (parsed.scheme, parsed.netloc) url = url.split("//")[1] url_s = url.split("/")[0] ip = socket.gethostbyname(url_s) #print(href) #get ip by url #ip = socket.gethostbyname(banner_domain_name) #get information by ip result = None try: obj = IPWhois(ip) result = obj.lookup() except Error as e: continue addr = result['nets'][0]['address'] if result['nets'][0]['address'] != None else 'None' name = result['nets'][0]['name'] if result['nets'][0]['name'] != None else 'None' state = result['nets'][0]['state'] if result['nets'][0]['state'] != None else 'None' city = result['nets'][0]['city'] if result['nets'][0]['city'] != None else 'None' description = result['nets'][0]['description'] if result['nets'][0]['description'] != None else 'None' country = result['nets'][0]['country'] if result['nets'][0]['country'] != None else 'None' ''' self.values.append(["Link analyzed",href]) self.values.append(["Response",response_domain]) self.values.append(["Address", addr]) self.values.append(["Name", name]) self.values.append(["State", state]) self.values.append(["City", city]) self.values.append(["Description", description]) self.values.append(["Country", country]) print('Name: ' + name + '\n' + 'Description: ' + description + '\n' + 'Address: ' + addr + '\n' + 'Country: ' + country + '\n' + 'State: ' + state + '\n' + 'City: ' + city) ''' temp = { "Url" : url, "Address" : addr, "Name" : name, "State" : state, "City" : city, "Description" : description, "Country" : country, "Response" : response_domain } self.values.append({ "Link analyzed %s" % (href) : temp }) except TldBadUrl as e: print ("Bad URL!") if flag == 0: print("There aren' t extra domain banners in this site") if(foo_flag == 0): print("There aren't banner in this site") except WhoisLookupError as e: raise ToolException(str(e)) return len(self.values) >= self.config.getInt("banner_count_treshold", 0) def createModel(self): return False, ["key","value"], self.values

31.802817

125

0.601639

542

4,516

4.933579

0.249077

0.044877

0.049364

0.02917

0.148841

0.133882

0.090501

0.07255

0

0.006454

0.245128

4,516

141

126

32.028369

0.777941

0.077059

0

0.118812

0

0.158855

0.005894

0

0.007092

0

null

0

0.118812

null

0.128713

0

null

0

null

0

1

0

1

e0bb4548a5ce53a84a9faca646cafe6530aa2def

12,725

py

Python

app/AccountManagment.py

fredpan/Prosopagnosia_Web_Server

b56b58eccdbbde6b158802d49f7bcc1b44b18b69

[ "Apache-2.0" ]

null

app/AccountManagment.py

fredpan/Prosopagnosia_Web_Server

b56b58eccdbbde6b158802d49f7bcc1b44b18b69

[ "Apache-2.0" ]

null

app/AccountManagment.py

fredpan/Prosopagnosia_Web_Server

b56b58eccdbbde6b158802d49f7bcc1b44b18b69

[ "Apache-2.0" ]

null

# Copyright 2020 EraO Prosopagnosia Helper Dev Team, Liren Pan, Yixiao Hong, Hongzheng Xu, Stephen Huang, Tiancong Wang # # Supervised by Prof. Steve Mann (http://www.eecg.toronto.edu/~mann/) # # 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. import datetime import mysql.connector import re import time from app.sql.config.DbConfig import db_config from flask import render_template, redirect, url_for, request, g, session from flask_bcrypt import Bcrypt from app import EmailSender as email_confirmation from app import webapp validUsernameChar = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789" # The function used to establish connection to sql database def connect_to_database(): ''' Function used to connect to database :return: ''' return mysql.connector.connect(user=db_config['user'], password=db_config['password'], host=db_config['host'], database=db_config['database'], use_pure=True) def get_database(): ''' function used to get database :return: ''' db = getattr(g, '_database', None) if db is None: db = g._database = connect_to_database() return db """ ############################################################# Login Settings ############################################################ """ @webapp.route('/login', methods=['GET', 'POST']) def user_login(): ''' This function takes GET/POST http request with URL of "/login" It returns the user with an html website of the login page :return: the rendered "login_index.html" ''' return render_template("/login_index.html", title="Welcome") @webapp.route('/login_submit', methods=['POST']) def login_submit(): ''' This function takes POST http request with URL of "/login_submit". It firstly reads the user submitted username, password and the check statue of "remember me" option based on whether the user checked "remember me" the function adjust the session expiry time by adjusting the value of webapp.permanent_session_lifetime. The function then connects to the database and reads the search results based on user inputs. If no search results find based on the user provided username, the function will return the user with "login_index.html" with error message; if the user input password doesn't match the database password after bcrypt,the function will return the user with login_index.html" with error message; If it passed all the condition, the function will redirect to URL"/secure/index" :return: /login_index.html or /secure/index ''' session.permanent = True bcrypt = Bcrypt(webapp) username = request.form['username'] password = request.form['password'] remember = request.form.get('remember') print(remember) rememberMe = False # if remember!=None and remember=="on": if remember: rememberMe = True else: session.clear() webapp.permanent_session_lifetime = datetime.timedelta(milliseconds=0) # password = bcrypt.generate_password_hash(password).decode("utf-8") # bcrypt.check_password_hash # connect to database cnx = get_database() cursor = cnx.cursor() query = "SELECT password FROM user_info WHERE username = %s and active = 1" cursor.execute(query, (username,)) results = cursor.fetchall() if len(results) == 1: hashed_pwd = results[0][0] if bcrypt.check_password_hash(hashed_pwd, password): session['authenticated'] = True session['username'] = username session['error'] = None if rememberMe: webapp.permanent_session_lifetime = datetime.timedelta(weeks=1) return redirect(url_for('sensitive')) session['username'] = username session['error'] = "<=Error! Incorrect username or password!=>" return render_template("/login_index.html", title="Main Page", username=username, error=session['error']) """ ############################################################# Sign up Settings ############################################################ """ # Display an empty HTML form that allows users to fill the info and sign up. @webapp.route('/signup', methods=['GET']) def user_signup(): ''' This function takes GET http request with URL of "/signup" It returns the user with an html website of the signup page :return: the rendered "signup_index.html" ''' return render_template("signup_index.html", title="Join Us!") # Create a new account and save them in the database. @webapp.route('/signup/save', methods=['POST']) def sign_up_save(): ''' This function takes POST http request with a URL of "/signup/save". It firstly reads the user submitted username, password1 and password2. It then connects to the database to check if there is already an existing username in the database. The function also checks whether the user provided all the necessary information; whether the format of the username and password are correct and whether the two passwords match. If any of the above condition failed, the function will return user with "signup_index.html" with error message. If not, the function will insert the user provided information to the database and return "signup_succeed_index.html" page to user indicating the user has successfully created a new account. :return: "signup_index.html" or "signup_succeed_index.html" ''' bcrypt = Bcrypt(webapp) # need to trim the user name username = request.form.get('username', "") password1 = request.form.get('password1', "") password2 = request.form.get('password2', "") # connect to database cnx = get_database() cursor = cnx.cursor() query = "SELECT COUNT(username) FROM user_info WHERE username = %s " cursor.execute(query, (username,)) results = cursor.fetchall() numberOfExistUser = results[0][0] if username == "" or password1 == "" or password2 == "": error_msg = "Error: All fields are required!" return render_template("signup_index.html", title="Sign Up", error_msg=error_msg, username=username, password1=password1, password2=password2) if re.findall(r'\s+', username) != []: error_msg = "Error: No space allowed in user name!" return render_template("signup_index.html", title="Sign Up", error_msg=error_msg, username=username, password1=password1, password2=password2) if numberOfExistUser != 0: error_msg = "Error: User name already exist!" return render_template("signup_index.html", title="Sign Up", error_msg=error_msg, username=username, password1=password1, password2=password2) if not (password1 == password2): error_msg = "Error: Two passwords not matching!" return render_template("signup_index.html", title="Sign Up", error_msg=error_msg, username=username, password1=password1, password2=password2) if (len(username) > 20 or len(username) < 1) or not all(c in validUsernameChar for c in username): print(len(username)) error_msg = "Error: Username violation, username must have length between 1 to 20, only letters and numbers allowed" return render_template("signup_index.html", title="Sign Up", error_msg=error_msg, username=username, password1=password1, password2=password2) if len(password1) > 16 or len(password1) < 1: error_msg = "Error: Password length violation" return render_template("signup_index.html", title="Sign Up", error_msg=error_msg, username=username, password1=password1, password2=password2) ts = time.time() timestamp = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S') password = bcrypt.generate_password_hash(password1).decode("utf-8") query = ''' INSERT INTO user_info (username,password,create_date,active) VALUES (%s,%s, %s,1) ''' cursor.execute(query, (username, password, timestamp)) cnx.commit() # Add error catch here for sql return render_template("signup_succeed_index.html", title="Sign Up Succeed", username=username, password=password1) """ ############################################################# Secure Index ############################################################ """ @webapp.route('/secure/index', methods=['GET', 'POST']) def sensitive(): ''' This function takes GET/POST http request with URL of "/secure/index". The function firstly check if the user session has key of “authenticated” and value of True which indicating the user has passed the security check. If not, the user will be redirected back to ‘/user_login’. If the user session contains “authenticated” and has a value of True, the function will perform a database search based on the “username” in the client’s session and store the user’s uid, upload_counter and create_date into the session and return the page of "/secured_index.html". :return: "/secure/index" or "/secured_index.html" ''' if 'authenticated' not in session: return redirect(url_for('user_login')) # ==========Read user Info and sign in =========# if session['authenticated'] == True: # connect to database cnx = get_database() cursor = cnx.cursor() query = "SELECT uid , create_date FROM user_info WHERE username = %s and active = 1" cursor.execute(query, (session['username'],)) results = cursor.fetchall() uid = results[0][0] memberSince = results[0][1] session['uid'] = uid session['membersince'] = memberSince return render_template("/secured_index.html", username=session['username'], membersince=session['membersince']) else: return redirect(url_for('user_login')) @webapp.route('/logout', methods=['GET', 'POST']) def logout(): ''' This function takes GET/POST http request with URL of “/logout”. The function clear all the contents in the current user’s session and terminate the user’s session’s lifetime. The function then redirect the user to the main page. :return: /secure/index ''' session.clear() webapp.permanent_session_lifetime = datetime.timedelta(milliseconds=0) return redirect(url_for("sensitive")) """ ############################################################# Send Email ############################################################ """ # Create a new account and save them in the database. @webapp.route('/signup/send_email', methods=['POST']) def send_email(): ''' This function takes POST http request with URL of “/signup/send_email”. The function read the user email, username and password and check if the user email is in correct form with Regex, if the email address is correct, it will call “send_email” function in “EmailSender” class which can send an email to the user with registered username and password and redirect the user back to “signup_succeed_index.html” with success message. If the user provided email address is not a correct form, the function will redirect back to “signup_succeed_index.html” with error message. :return: “signup_succeed_index.html” ''' # need to trim the user name email = request.form.get('email', "") username = request.form.get('username', "") password = request.form.get('password', "") if not re.match(r"^[A-Za-z0-9\.\+_-]+@[A-Za-z0-9\._-]+\.[a-zA-Z]*$", email): error_msg = "Error: Not a correct email address!" return render_template("signup_succeed_index.html", title="Sign Up Succeed", username=username, password=password, error_msg=error_msg) # send email email_confirmation.send_email(email, username, password) success_msg = "=================Email Sent!===================" return render_template("signup_succeed_index.html", title="Sign Up Succeed", username=username, password=password, success_msg=success_msg)

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0

null

0

null

0

1

0

1

e0d2d2e5b75b0d0e7b995b20657ba25ef18190ee

1,351

py

Python

login.py

harryzcy/canvas-file-syncer

16b98ee164df8570605b1a274c02f0dc7403730e

[ "MIT" ]

null

login.py

harryzcy/canvas-file-syncer

16b98ee164df8570605b1a274c02f0dc7403730e

[ "MIT" ]

null

login.py

harryzcy/canvas-file-syncer

16b98ee164df8570605b1a274c02f0dc7403730e

[ "MIT" ]

null

import time from config import get_password, get_username from playwright.sync_api import Page def login(page: Page, url: str, landing_url: str): raise RuntimeError("default login not supported") def login_kenan_flagler(page: Page, url: str, landing_url: str) -> None: page.goto(url) page.wait_for_load_state('load') if page.url.startswith(landing_url): return with page.expect_navigation(): page.locator("text=ONYEN Login").click() time.sleep(0.5) page.locator("input[type=email]").fill(get_username()) with page.expect_navigation(): page.locator("input[type=submit]").click() time.sleep(1) page.locator("input[type=password]").fill(get_password()) with page.expect_navigation(): page.click('input[type=submit]') if page.url.endswith("/login"): # 2-factor auth page.locator("div[role=\"button\"]:has-text(\"Text\")").click() print("Enter code: ", end="") code = input() code = code.strip() page.locator("[aria-label=\"Code\"]").fill(code) with page.expect_navigation(): page.locator("text=Verify").click() page.locator("[aria-label=\"Don\\'t\\ show\\ this\\ again\"]").check() page.locator("text=Yes").click() time.sleep(0.5) assert page.url.startswith(landing_url)

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4.745763

0.40678

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0.114286

0.334524

0.19881

0.157143

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0.005515

0.194671

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0.0625

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null

0

null

0

1

0

1

e0d3e0406d466ee1eb3c15b25d95347feecab756

1,265

py

Python

custom_components/ge_home/entities/common/ge_water_heater.py

olds/ha_gehome

5cb24deab64bcade45861da0497a84631845922c

[ "MIT" ]

41

2021-08-02T02:15:54.000Z

2022-03-30T11:11:42.000Z

custom_components/ge_home/entities/common/ge_water_heater.py

olds/ha_gehome

5cb24deab64bcade45861da0497a84631845922c

[ "MIT" ]

46

2021-08-03T02:20:59.000Z

2022-03-30T11:17:15.000Z

custom_components/ge_home/entities/common/ge_water_heater.py

olds/ha_gehome

5cb24deab64bcade45861da0497a84631845922c

[ "MIT" ]

15

2021-08-31T00:21:33.000Z

2022-03-30T12:53:21.000Z

import abc import logging from typing import Any, Dict, List, Optional from homeassistant.components.water_heater import WaterHeaterEntity from homeassistant.const import ( TEMP_FAHRENHEIT, TEMP_CELSIUS ) from gehomesdk import ErdCode, ErdMeasurementUnits from ...const import DOMAIN from .ge_erd_entity import GeEntity _LOGGER = logging.getLogger(__name__) class GeWaterHeater(GeEntity, WaterHeaterEntity, metaclass=abc.ABCMeta): """Mock temperature/operation mode supporting device as a water heater""" @property def heater_type(self) -> str: raise NotImplementedError @property def operation_list(self) -> List[str]: raise NotImplementedError @property def unique_id(self) -> str: return f"{DOMAIN}_{self.serial_or_mac}_{self.heater_type}" @property def name(self) -> Optional[str]: return f"{self.serial_or_mac} {self.heater_type.title()}" @property def temperature_unit(self): measurement_system = self.appliance.get_erd_value(ErdCode.TEMPERATURE_UNIT) if measurement_system == ErdMeasurementUnits.METRIC: return TEMP_CELSIUS return TEMP_FAHRENHEIT @property def supported_features(self): raise NotImplementedError

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1,265

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null

0

null

0

1

0

1

e0d9891ebc981dc1dd6b1f55b9d60d1a276b4e1d

1,283

py

Python

setup.py

Cloudlock/bravado

bacf49ea9d791ec9f564a3a141c77995d2f395b0

[ "BSD-3-Clause" ]

null

setup.py

Cloudlock/bravado

bacf49ea9d791ec9f564a3a141c77995d2f395b0

[ "BSD-3-Clause" ]

2

2016-12-14T07:33:33.000Z

2017-05-11T13:40:48.000Z

setup.py

Cloudlock/bravado

bacf49ea9d791ec9f564a3a141c77995d2f395b0

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # Copyright (c) 2013, Digium, Inc. # Copyright (c) 2014-2016, Yelp, Inc. import os from setuptools import setup import bravado setup( name="bravado", # cloudlock version, no twisted dependency version=bravado.version + "cl", license="BSD 3-Clause License", description="Library for accessing Swagger-enabled API's", long_description=open(os.path.join(os.path.dirname(__file__), "README.rst")).read(), author="Digium, Inc. and Yelp, Inc.", author_email="opensource+bravado@yelp.com", url="https://github.com/Yelp/bravado", packages=["bravado"], classifiers=[ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Topic :: Software Development :: Libraries :: Python Modules", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.4", ], install_requires=[ "bravado-core >= 4.2.2", "yelp_bytes", "python-dateutil", "pyyaml", "requests", "six", ], extras_require={ }, )

29.159091

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0.59392

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1,283

5.536765

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0.075697

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0

0.024262

0.261107

1,283

43

72

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0.023499

0

1

0

true

0

0.085714

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0.085714

0

null

0

null

0

1

0

1

e0daa9911332d847f463b64cda5a0ec1b5c5fe82

562

py

Python

server/website/website/migrations/0003_background_task_optimization.py

mjain2/ottertune

011e896bf89df831fb1189b1ab4c9a7d7dca420a

[ "Apache-2.0" ]

1

2019-08-16T19:35:35.000Z

server/website/website/migrations/0003_background_task_optimization.py

mjain2/ottertune

011e896bf89df831fb1189b1ab4c9a7d7dca420a

[ "Apache-2.0" ]

null

server/website/website/migrations/0003_background_task_optimization.py

mjain2/ottertune

011e896bf89df831fb1189b1ab4c9a7d7dca420a

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.1 on 2018-08-02 07:58 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('website', '0002_enable_compression'), ] operations = [ migrations.AddField( model_name='workload', name='status', field=models.IntegerField(choices=[(1, 'MODIFIED'), (2, 'PROCESSING'), (3, 'PROCESSED')], default=1, editable=False), ) ]

25.545455

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562

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0

0.057737

0.229537

562

21

130

26.761905

0.743649

0.120996

0

1

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0.144603

0.046843

0

1

0

false

0

0.214286

0

0.428571

0

null

0

1

0

null

0

1

e0e302f950371ae0056fe68d4bc413f86d8a3bb5

1,180

py

Python

tests/pure-req.py

rbanffy/bjoern

b177b62aa626cee97972a2e73f8543e6d86b5eb7

[ "BSD-2-Clause" ]

2,326

2015-01-05T21:20:29.000Z

2022-03-31T15:42:24.000Z

tests/pure-req.py

rbanffy/bjoern

b177b62aa626cee97972a2e73f8543e6d86b5eb7

[ "BSD-2-Clause" ]

127

2015-04-09T03:33:17.000Z

2022-03-11T13:43:55.000Z

tests/pure-req.py

rbanffy/bjoern

b177b62aa626cee97972a2e73f8543e6d86b5eb7

[ "BSD-2-Clause" ]

190

2015-01-20T10:54:38.000Z

2022-02-23T05:45:45.000Z

import sys import socket conn = socket.create_connection(('0.0.0.0', 8080)) msgs = [ # 0 Keep-Alive, Transfer-Encoding chunked 'GET / HTTP/1.1\r\nConnection: Keep-Alive\r\n\r\n', # 1,2,3 Close, EOF "encoding" 'GET / HTTP/1.1\r\n\r\n', 'GET / HTTP/1.1\r\nConnection: close\r\n\r\n', 'GET / HTTP/1.0\r\nConnection: Keep-Alive\r\n\r\n', # 4 Bad Request 'GET /%20%20% HTTP/1.1\r\n\r\n', # 5 Bug #14 'GET /%20abc HTTP/1.0\r\n\r\n', # 6 Content-{Length, Type} 'GET / HTTP/1.0\r\nContent-Length: 11\r\n' 'Content-Type: text/blah\r\nContent-Fype: bla\r\n' 'Content-Tength: bla\r\n\r\nhello world', # 7 POST memory leak 'POST / HTTP/1.0\r\nContent-Length: 1000\r\n\r\n%s' % ('a'*1000), # 8,9 CVE-2015-0219 'GET / HTTP/1.1\r\nFoo_Bar: bad\r\n\r\n', 'GET / HTTP/1.1\r\nFoo-Bar: good\r\nFoo_Bar: bad\r\n\r\n' ] conn.send(msgs[int(sys.argv[1])].encode()) while 1: data = conn.recv(100) if not data: break print(repr(data)) if data.endswith(b'0\r\n\r\n'): if raw_input('new request? Y/n') == 'n': exit() conn.send(b'GET / HTTP/1.1\r\nConnection: Keep-Alive\r\n\r\n')

28.780488

70

0.580508

232

1,180

2.935345

0.344828

0.073421

0.052863

0.064611

0.38326

0.358297

0.28047

0.215859

0.140969

0.099853

0

0.076514

0.202542

1,180

40

71

29.5

0.647184

0.128814

0

0.269231

0.557409

0.168793

0

1

0

false

0

0.076923

0

0.076923

0.038462

0

null

0

1

0

null

0

1

e0e46a7c483f2f163fea7d76f7af991fbac7e1d8

1,167

py

Python

stack.py

henryoliver/data-structures

eb3d709543ace5197236164998b8295e72187cb0

[ "MIT" ]

null

stack.py

henryoliver/data-structures

eb3d709543ace5197236164998b8295e72187cb0

[ "MIT" ]

null

stack.py

henryoliver/data-structures

eb3d709543ace5197236164998b8295e72187cb0

[ "MIT" ]

null

class Stack: def __init__(self): self.stack = [] self.minMaxStack = [] # O(1) time | O(1) space def peek(self): if (len(self.stack)): return self.stack[-1] return None # O(1) time | O(1) space def pop(self): if (len(self.stack)): self.minMaxStack.pop() return self.stack.pop() return None # Procedure # O(1) time | O(1) space def push(self, value): minNumber = value maxNumber = value if (len(self.minMaxStack)): lastMinMax = self.minMaxStack[-1] minNumber = min(lastMinMax[0], minNumber) maxNumber = max(lastMinMax[1], maxNumber) self.stack.append(value) self.minMaxStack.append((minNumber, maxNumber)) print(self.stack) print(self.minMaxStack) # O(1) time | O(1) space def getMin(self): if (len(self.minMaxStack)): return self.minMaxStack[-1][0] return None # O(1) time | O(1) space def getMax(self): if (len(self.minMaxStack)): return self.minMaxStack[-1][1] return None

22.882353

55

0.533847

138

1,167

4.485507

0.210145

0.242326

0.048465

0.056543

0.416801

0.358643

0.332795

0

0.023316

0.338475

1,167

50

56

23.34

0.778497

0.107112

0

0.28125

0

1

0.1875

false

0

0.46875

0.0625

0

null

1

0

null

0

1

e0e6d5767d002512b6411fc77a77af2956e16766

19,876

py

Python

graph-to-graph/elf_correlate.py

mbrcknl/graph-refine

78c74f18127db53606f18f775a5a50de86bc6b97

[ "BSD-2-Clause", "MIT" ]

6

2017-03-17T17:57:48.000Z

2019-12-28T13:03:23.000Z

graph-to-graph/elf_correlate.py

myuluo/graph-refine

8924af0c61c3c863db7957e0ebac7ae1ceefad9d

[ "BSD-2-Clause", "MIT" ]

3

2020-04-07T09:15:55.000Z

2022-03-23T01:36:26.000Z

graph-to-graph/elf_correlate.py

myuluo/graph-refine

8924af0c61c3c863db7957e0ebac7ae1ceefad9d

[ "BSD-2-Clause", "MIT" ]

7

2020-04-16T00:32:41.000Z

2022-03-09T05:25:23.000Z

# # Copyright 2020, Data61, CSIRO (ABN 41 687 119 230) # # SPDX-License-Identifier: BSD-2-Clause # import re import graph_refine.syntax as syntax import graph_refine.problem as problem import graph_refine.stack_logic as stack_logic from graph_refine.syntax import true_term, false_term, mk_not from graph_refine.check import * import graph_refine.search as search import elf_parser import graph_refine.target_objects as target_objects from imm_utils import * from elf_file import * from addr_utils import * from call_graph_utils import gFuncsCalled from dot_utils import toDot,toGraph from addr_utils import gToPAddrP,callNodes def loadCounts(dir_name): #loop_counts.py must contain exactly 1 dict called man_loop_counts context = {} execfile('%s/loop_counts.py' % dir_name,context) #we should have a dict of addr -> bound assert 'loops_by_fs' in context lbfs = context['loops_by_fs'] return lbfs class immFunc (Borg): def __init__(self,elf_fun=None,load_counts=False): Borg.__init__(self) if not elf_fun: return self.elf_fun = elf_fun self.name = elf_fun.name self.addr = elf_fun.addr self.g_f = elf_fun.g_f self.asm_fs = elfFile().asm_fs self.imm_nodes = {} self.bbs = {} self.loaded_loop_counts = False self.parse_only = False self.loop_bounds = {} # dict of f-> loop_heads -> (bound, description) self.loops_by_fs = {} #f -> p_n self.p_entries = {} if load_counts: self.loaded_loops_by_fs = loadCounts(elfFile().dir_name) self.loaded_loop_counts = True def process(self): if self.bbs != {}: return self.makeBinGraph() self.loopheads = {} self.findLoopheads() lbfs = self.loops_by_fs if self.loaded_loop_counts: self.bin_loops_by_fs = self.loaded_loops_by_fs print 'loaded loop counts from file' else: #build bin_loops_by_fs from loops_by_fs self.bin_loops_by_fs = {} blbf = self.bin_loops_by_fs for f in lbfs: blbf[f] = {} p = self.f_problems[f] pA = lambda x: phyAddrP(x,p) loops = lbfs[f] for p_head in loops: assert pA(p_head) not in blbf blbf[f][pA(p_head)] = loops[p_head] def isBBHead(self,p_nf): if not self.isRealNode(p_nf): return False g_n = self.phyAddr(p_nf) if not type(g_n) == int: return False return g_n in self.bbs #bin addr to bb addr def bbAddr(self,addr): bbs = self.bbs for x in bbs: if addr in bbs[x]: return x print 'addr: %x' % addr assert False, 'BB not found !!' def toPhyAddrs(self, p_nis): return [self.phyAddr(x) for x in p_nis] #find all possible entries of the loop for Chronos def findLoopEntries(self, loop, f): p = self.f_problems[f] head = None lp = [x for x in list(loop) if self.isRealNode( (x,f) )] lpp = [] lp_phys = self.toPhyAddrs([(x,f) for x in lp]) for x in lp: #loop entry, must be #1. a basic block head and #2. has >=1 edge from outside the loop if (x, f ) in self.pf_deadends: ##gotta be halt / branch to halt continue phy_n = self.phyAddr((x,f)) node = self.imm_nodes[phy_n] imm_ext_edges_to = [y for y in node.edges_to if (y not in lp_phys)] if ( len(imm_ext_edges_to) >= 1 and self.isBBHead((x,f)) ): lpp.append(x) return lpp def findLoopheads(self): self.imm_loopheads = {} #loopheads = {} loopheads = [] #self.loopheads = loopheads loops_by_fs = self.loops_by_fs for (f,p) in [(f,self.f_problems[f]) for f in self.f_problems]: p.compute_preds() p.do_loop_analysis() l = p.loop_data if p.loop_heads(): loops_by_fs[f] = {} for x in p.loop_heads(): fun,_ = self.pNToFunGN((x,f)) #dodge halt if fun in elfFile().deadend_funcs: continue loopheads.append((x, f)) #the 0 worker_id will get ignored by genLoopHeads. #FIXME: do this properly.. loops_by_fs[f][x] = (2**30,'dummy',0) assert loopheads for p_nf in loopheads: p_n, f = p_nf p = self.f_problems[f] ll = p.loop_data[p_n][1] z = self.findLoopEntries(ll, f) #map from potential heads -> head, hack around chronos 'feature' for q in z: assert q not in self.imm_loopheads, 'one addr cannot have >1 loopcounts !' self.imm_loopheads[self.phyAddr((q,f))] = p_nf return def firstRealNodes(self,p_nf,visited = None,may_multi=False,may_call=False,skip_ret=False): """ Locate the first real node from, and including, p_addr, or branch targets if it hits a branch before that. Returns a list of p_nf """ elf_fun = self.elf_fun p_n,f = p_nf next_p_nf = p_nf ret = [] if visited == None: #print 'fRN on p_n %d, fun: %s' % (p_n,f) visited = [] if p_nf in visited: return [] visited.append(p_nf) assert self.pf_deadends != None while True: if self.isRealNode(next_p_nf): return [next_p_nf] next_p_n , next_f, next_p = self.unpackPNF(next_p_nf) if ( next_p_n == 'Ret' and f == self.name): return [('Ret',f)] elif next_p_n == 'Ret': if skip_ret: return [] assert False,'firstRealNodes reached Ret when skip_ret is False' p_node, edges = self.pNodeConts(next_p_nf, may_call=may_call) if edges == []: return [] assert (edges) if len(edges) > 1: assert may_multi for p_e in edges: for ee in self.firstRealNodes(p_e ,visited = list(visited),may_multi=may_multi,may_call=may_call,skip_ret=skip_ret): ret.append(ee) return ret else: next_p_nf = edges[0] #function p_n belongs to, g_n def pNToFunGN(self,p_nf): p_n,f,p = self.unpackPNF(p_nf) tag = p.node_tags[p_n] _, x = tag f_name, g_n = x return f_name,g_n #given p_n is an imm call, return is_taillcall def isCallTailCall(self,p_nf): # suc = p_n_cs[0] g_n = self.phyAddr(p_nf) return elf_parser.isDirectBranch(g_n) def isStraightToRetToRoot(self,p_nf): p_n,f,p = self.unpackPNF(p_nf) if p_n == 'Ret' and f == self.name: return True elif p_n == 'Ret': return False if self.isRealNode(p_nf): return False if self.phyAddr(p_nf)=='RetToCaller': return False elif type(p_n) == int: _,pf_conts = self.pNodeConts(p_nf) p_conts = [x[0] for x in pf_conts] if len(p_conts) == 1: return self.isStraightToRetToRoot((p_conts[0],f)) return False #whether the corresponding imm has a return edge def isImmRootReturn(self,p_nf): p_n,f = p_nf if f != self.name : return False _, pf_conts = self.pNodeConts(p_nf) for x in pf_conts: if self.isStraightToRetToRoot(x): return True return False #whether p_n leads straightly to RetToCaller def isStraightToRetToCaller(self,p_nf): p_n,f = p_nf if p_n == 'Ret': if f != self.name: return True else: return False if self.isRealNode(p_nf): return False if self.phyAddr(p_nf)=="RetToCaller": return True elif type(p_n) == int: _,pf_conts = self.pNodeConts(p_nf) p_conts = [x[0] for x in pf_conts] if len(p_conts) == 1: return self.isStraightToRetToCaller((p_conts[0],f)) return False #All return except the root one def isImmRetToCaller(self,p_nf): g_n = self.phyAddr(p_nf) p_n,f,p = self.unpackPNF(p_nf) if isCall(p.nodes[p_n]): return False p_node,pf_conts = self.pNodeConts(p_nf) p_conts = [x[0] for x in pf_conts] conts = [x for x in p_conts if type(p_n) == int] #print ' p_n %s p_conts %s' % (p_n,p_conts) n_rtc = 0 assert self.phyAddr(p_nf) == g_n for pf_cont in pf_conts: cont_n,cont_f = pf_cont if not isCall(self.f_problems[cont_f].nodes[cont_n]): if self.isStraightToRetToCaller(pf_cont): ret = (pf_cont) n_rtc += 1 if not ( n_rtc <= 1): #print 'p_n %s g_n %s: n_rtc %s' % (p_n, self.phyAddr(p_n), n_rtc) assert False if n_rtc > 0: return ret return False def funName(self,p_nf): p_n,f = p_nf fname = self.f_problems[f].nodes[p_n].fname if '.' in fname: #print 'f: %s' % fname s = [] for c in fname: if c == '.': s.append('_') else: s.append(c) return ''.join(s) return fname def makeProblem(self,f): p = problem.Problem(None, 'Functions (%s)' % f) p.add_entry_function(self.asm_fs[f], 'ASM') p.do_analysis() return p def isSpecInsFunc(self,f): """ Returns whether f is the name of a special function used to model special instruction """ return f.startswith ("instruction'") def makeBinGraph(self): """ Prepare problems for all functions transitively called by self, and turn this into a binary CFG """ self.f_problems = {} if self.name not in elfFile().tcg: print elfFile().tcg.keys() tc_fs = list(elfFile().tcg[self.name]) for f in tc_fs + [self.name]: assert '.' not in f if self.isSpecInsFunc(f): continue p = problem.Problem(None, 'Functions (%s)' % f) p.add_entry_function(self.asm_fs[f], 'ASM') self.f_problems[f] = p #print 'f %s, p.nodes: %d' % (f,len(p.nodes) ) #get its entry assert len(p.entries) == 1 self.p_entries[f] = p.entries[0][0] print 'all problems generated' self.findAllDeadends() print "all deadends found" #now generate the bin graph for f,p in self.f_problems.iteritems(): for p_n in p.nodes: if type(p_n) != int: continue p_nf = (p_n,f) if p_nf in self.pf_deadends: continue if self.isRealNode(p_nf): #print 'adding: %s' % str(p_nf) self.addImmNode(p_nf) self.imm_entry = self.phyAddr(self.firstRealNodes((self.p_entries[self.name], self.name ))[0]) #print 'self.imm_entry %x' % self.imm_entry self.bbs = findBBs(self.imm_entry,self) def findAllDeadends(self): self.pf_deadends = [] pf_deadends = self.pf_deadends self.deadend_g_ns = set() #Halt is a deadend function, and should never be called, it's equivalent to Err for our purpose for dead_f in elfFile().deadend_funcs: print 'dead_f %s' % dead_f deadend_f_g_n = elfFile().funcs[dead_f].addr self.deadend_g_ns.add (deadend_f_g_n) print 'deadend_f_g_n 0x%x' % deadend_f_g_n for (f,p) in self.f_problems.iteritems(): for p_n in p.nodes: if self.isDeadend((p_n,f)): pf_deadends.append((p_n,f)) def isDeadend(self,p_nf,visited=None): ''' Determine if p_nf (p_n, function) is a deadend node ''' if p_nf in self.pf_deadends: return True p_n, f, p = self.unpackPNF(p_nf) if visited == None: visited = [] if p_n == 'Err': return True if p_n == 'Ret': return False if p_nf in visited: return True if isCall(p.nodes[p_n]): #walk into the callee problem f = self.funName(p_nf) #FIXME: dodge dummy functions if 'instruction' in f: return False if f in elfFile().deadend_funcs: return True p_callee = self.f_problems[f] assert len(p_callee.entries) == 1 p_callee_n = p_callee.entries[0][0] return self.isDeadend((p_callee_n,f),visited=visited + [p_nf]) if type(p_n) == int and self.phyAddr(p_nf) == 'RetToCaller': return False g_n = self.phyAddr(p_nf) if g_n in self.deadend_g_ns: return True #note: pNodeConts ensures we stay in the same problem node,fconts = self.pNodeConts(p_nf) conts = [ x[0] for x in fconts] for p_c in conts: assert p_c != p_n if not self.isDeadend( (p_c,f), visited = visited + [p_nf]): return False #all ends are dead, thus deadend return True def unpackPNF(self,p_nf): p_n,f = p_nf p = self.f_problems[f] return (p_n,f,p) def phyAddr (self,p_nf) : p_n, f , p = self.unpackPNF(p_nf) if not isinstance(p_n,int): return p_n _,x = p.node_tags[p_n] if x == 'LoopReturn': return 'LoopReturn' try: f_name,g_addr = x except: print f print 'tags: %s'% str(p.node_tags[p_n]) assert False return g_addr #must not reach Ret def pNodeConts(self, p_nf, no_deadends=False, may_call = False): p_n,f, p = self.unpackPNF(p_nf) p_node = p.nodes[p_n] if isCall(p_node): assert may_call fun_called = self.funName(p_nf) p = self.f_problems[fun_called] entry = self.p_entries[fun_called] pf_conts = [(entry,fun_called)] return p_node, pf_conts assert p_n != 'Ret' p_conts = filter(lambda x: x != 'Err', p_node.get_conts()) if no_deadends: p_conts = filter(lambda x: (x, p_i) not in pi_deadends, p_conts) pf_conts = [(x , f) for x in p_conts] return p_node,pf_conts def isRealNode(self,p_nf): p_n,f = p_nf if p_n == 'Ret': return False g_n = self.phyAddr(p_nf) if g_n == 'RetToCaller': return False elif self.isLoopReturn(p_nf): return False elif type(g_n) != int: print 'g_n %s' % str(g_n) assert False, 'g_n expected of typ int' #elif g_n % 4 == 0 and not self.isLoopReturn(p_nf): elif g_n % 4 == 0: assert not self.isLoopReturn(p_nf) return True else: return False def isLoopReturn(self,p_nf): p_n,f = p_nf p = self.f_problems[f] tag = p.node_tags[p_n] return tag[1] == 'LoopReturn' def addImmNode(self,p_nf): imm_nodes = self.imm_nodes g_n = self.phyAddr(p_nf) p_node,pf_conts = self.pNodeConts(p_nf) p_conts = [x[0] for x in pf_conts] p_n,f,p = self.unpackPNF(p_nf) #print "adding imm_node p_n: %s f: %s" % (p_n,f) if g_n in imm_nodes: #we have been here before node = imm_nodes[g_n] else: node = immNode(g_n,rawVals(g_n)) imm_nodes[g_n] = node dont_emit = [] p_imm_return_to_caller_edge = self.isImmRetToCaller(p_nf) call_pn = self.getCallTarg(p_nf) if call_pn: fun_called = self.funName((call_pn, f)) if self.isSpecInsFunc(fun_called): #Hack: go straight to the return node, do nothing else next_addrs = p.nodes[call_pn].get_conts() assert len(next_addrs) == 1 next_addr = next_addrs[0] assert next_addr not in ['Ret','Err'] phy_next_addr = self.phyAddr((next_addr,f)) i_e = immEdge(phy_next_addr, emit = True) node.addEdge(i_e) return imm_call = self.parseImmCall(p_nf) assert not p_imm_return_to_caller_edge g_call_targ,g_ret_addr,is_tail_call = imm_call dont_emit.append(g_call_targ) node.addCallRetEdges(g_call_targ, g_ret_addr,is_tail_call) elif p_imm_return_to_caller_edge or self.isImmRootReturn(p_nf): node.addRetEdge() #add edges to the imm node,ingore Err and halt for p_targ in p_conts: if type(p_targ) == int and (p_targ, f) not in self.pf_deadends: if p_targ == 'Ret': continue edges = self.firstRealNodes((p_targ,f),may_multi=True,may_call=True,skip_ret=True) for p_e in edges : #dodge halt if (p_e) in self.pf_deadends: continue g_e = self.phyAddr(p_e) assert g_e != None if g_e == 'Ret': continue assert g_e != 'Ret' i_e = immEdge(g_e,emit = g_e not in dont_emit) node.addEdge(i_e) def retPF(self,call_p_nf): p_n,f,p = self.unpackPNF(call_p_nf) assert len(p.nodes[p_n].get_conts()) == 1 return ( (p.nodes[p_n].get_conts())[0] , f) def getCallTarg(self, p_nf): p_n,f,p = self.unpackPNF(p_nf) _, pf_conts = self.pNodeConts(p_nf) p_conts = map(lambda x: x[0],pf_conts) #is Imm call iff there is a successor of kind Call in the g graph p_n_cs = filter(lambda p_n_c: type(p_n_c) == int and not self.isLoopReturn(( p_n_c, f)) and isCall(self.gNode((p_n_c,f))) , p_conts) if not p_n_cs: return None assert len(p_n_cs) == 1 #return the p_n of the call node return p_n_cs[0] def parseImmCall(self,p_nf): """ Returns (entry point to the called function, return addr, is_tailcall) """ call_pn = self.getCallTarg(p_nf) assert call_pn != None p_n,f,p = self.unpackPNF(p_nf) #print "p_n: %s, f: %s" % (p_n,f) p_nodes = p.nodes #find the return addr #print "call_pn = %d" % call_pn suc = self.firstRealNodes( (call_pn, f) ,may_multi=False,may_call=True) pf_call_targ = suc[0] g_call_targ = self.phyAddr(pf_call_targ) #locate the call return address f_caller, _ = self.pNToFunGN(p_nf) is_tailcall = self.isCallTailCall(p_nf) if not is_tailcall: #return the return addr phy_ret_addr = self.phyAddr(self.retPF((call_pn,f))) else: phy_ret_addr = None assert type(phy_ret_addr) == int or is_tailcall, "g_call_targ %s phy_ret_addr %s" % (g_call_targ, phy_ret_addr) #print 'call detected: phy_ret_addr %x' % phy_ret_addr return (g_call_targ, phy_ret_addr,is_tailcall) def gNode(self,p_nf): p_n,f,p = self.unpackPNF(p_nf) tag = p.node_tags[p_n] f = tag[1][0] g_n = tag[1][1] return self.asm_fs[f].nodes[g_n]

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1

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1

e0f788d3a6de0a5319ec594f010d2fc7e6bb3c93

3,206

py

Python

third_party/logging.py

sweeneyb/iot-core-micropython

7fc341902fbf8fa587f0dc3aa10c0803a5e0d6a5

[ "Apache-2.0" ]

50

2019-06-12T22:30:43.000Z

2022-02-22T18:30:26.000Z

third_party/logging.py

cashoefman/Resto-Score-for-Hack-2021-for-Positivity

cb3227c8db4b1be0e46cfe4b8d3973c1af4fe49b

[ "Apache-2.0" ]

12

2019-07-05T09:39:45.000Z

2022-03-12T05:45:01.000Z

third_party/logging.py

cashoefman/Resto-Score-for-Hack-2021-for-Positivity

cb3227c8db4b1be0e46cfe4b8d3973c1af4fe49b

[ "Apache-2.0" ]

16

2019-06-13T09:12:24.000Z

2022-03-12T05:47:22.000Z

# MIT License # # Copyright (c) 2019 Johan Brichau # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import sys CRITICAL = 50 ERROR = 40 WARNING = 30 INFO = 20 DEBUG = 10 NOTSET = 0 _level_dict = { CRITICAL: "CRIT", ERROR: "ERROR", WARNING: "WARN", INFO: "INFO", DEBUG: "DEBUG", } _stream = sys.stderr class Logger: level = NOTSET def __init__(self, name): self.name = name def _level_str(self, level): l = _level_dict.get(level) if l is not None: return l return "LVL%s" % level def setLevel(self, level): self.level = level def isEnabledFor(self, level): return level >= (self.level or _level) def log(self, level, msg, *args): if level >= (self.level or _level): _stream.write("%s:%s:" % (self._level_str(level), self.name)) if not args: print(msg, file=_stream) else: print(msg % args, file=_stream) def debug(self, msg, *args): self.log(DEBUG, msg, *args) def info(self, msg, *args): self.log(INFO, msg, *args) def warning(self, msg, *args): self.log(WARNING, msg, *args) def error(self, msg, *args): self.log(ERROR, msg, *args) def critical(self, msg, *args): self.log(CRITICAL, msg, *args) def exc(self, e, msg, *args): self.log(ERROR, msg, *args) sys.print_exception(e, _stream) def exception(self, msg, *args): self.exc(sys.exc_info()[1], msg, *args) _level = INFO _loggers = {} def getLogger(name): if name in _loggers: return _loggers[name] l = Logger(name) _loggers[name] = l return l def info(msg, *args): getLogger(None).info(msg, *args) def debug(msg, *args): getLogger(None).debug(msg, *args) def basicConfig(level=INFO, filename=None, stream=None, format=None): global _level, _stream _level = level if stream: _stream = stream if filename is not None: print("logging.basicConfig: filename arg is not supported") if format is not None: print("logging.basicConfig: format arg is not supported")

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0

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0.251092

3,206

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false

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0

null

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null

0

1

0

1

e0f88df1e0c707f34a922f07d69b31d76bda43ee

536

py

Python

assessments/migrations/0003_auto_20210212_1943.py

acounsel/django_msat

86a54e43429001cb6433e28b294d6b8a94b97e6e

[ "MIT" ]

null

assessments/migrations/0003_auto_20210212_1943.py

acounsel/django_msat

86a54e43429001cb6433e28b294d6b8a94b97e6e

[ "MIT" ]

null

assessments/migrations/0003_auto_20210212_1943.py

acounsel/django_msat

86a54e43429001cb6433e28b294d6b8a94b97e6e

[ "MIT" ]

null

# Generated by Django 3.1.6 on 2021-02-12 19:43 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('assessments', '0002_auto_20210212_1904'), ] operations = [ migrations.AlterField( model_name='country', name='region', field=models.CharField(blank=True, choices=[('america', 'Americas'), ('europe', 'Europe'), ('africa', 'Africa'), ('asia', 'Asia'), ('oceania', 'Oceania')], max_length=100, null=True), ), ]

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null

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null

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1

e0f9f1296b023c0d6516cc11729dc5f2eb6ecdd7

4,291

py

Python

sdk/python/tests/dsl/metadata_tests.py

ConverJens/pipelines

a1d453af214ec9eebad73fb05845dd3499d60d00

[ "Apache-2.0" ]

6

2020-05-19T02:35:11.000Z

2020-05-29T17:58:42.000Z

sdk/python/tests/dsl/metadata_tests.py

ConverJens/pipelines

a1d453af214ec9eebad73fb05845dd3499d60d00

[ "Apache-2.0" ]

1,932

2021-01-25T11:23:37.000Z

2022-03-31T17:10:18.000Z

sdk/python/tests/dsl/metadata_tests.py

ConverJens/pipelines

a1d453af214ec9eebad73fb05845dd3499d60d00

[ "Apache-2.0" ]

11

2020-05-19T22:26:41.000Z

2021-01-25T09:56:21.000Z

# Copyright 2018 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from kfp.components.structures import ComponentSpec, InputSpec, OutputSpec import unittest class TestComponentMeta(unittest.TestCase): def test_to_dict(self): component_meta = ComponentSpec(name='foobar', description='foobar example', inputs=[InputSpec(name='input1', description='input1 desc', type={'GCSPath': { 'bucket_type': 'directory', 'file_type': 'csv' }}, default='default1' ), InputSpec(name='input2', description='input2 desc', type={'TFModel': { 'input_data': 'tensor', 'version': '1.8.0' }}, default='default2' ), InputSpec(name='input3', description='input3 desc', type='Integer', default='default3' ), ], outputs=[OutputSpec(name='output1', description='output1 desc', type={'Schema': { 'file_type': 'tsv' }}, ) ] ) golden_meta = { 'name': 'foobar', 'description': 'foobar example', 'inputs': [ { 'name': 'input1', 'description': 'input1 desc', 'type': { 'GCSPath': { 'bucket_type': 'directory', 'file_type': 'csv' } }, 'default': 'default1' }, { 'name': 'input2', 'description': 'input2 desc', 'type': { 'TFModel': { 'input_data': 'tensor', 'version': '1.8.0' } }, 'default': 'default2' }, { 'name': 'input3', 'description': 'input3 desc', 'type': 'Integer', 'default': 'default3' } ], 'outputs': [ { 'name': 'output1', 'description': 'output1 desc', 'type': { 'Schema': { 'file_type': 'tsv' } }, } ] } self.assertEqual(component_meta.to_dict(), golden_meta)

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null

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1

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null

0

1

46023337d875860607f4a1fabbf53f963a80b88e

2,647

py

Python

users/migrations/0008_profile_fields_optional.py

mitodl/mit-xpro

981d6c87d963837f0b9ccdd996067fe81394dba4

[ "BSD-3-Clause" ]

10

2019-02-20T18:41:32.000Z

2021-07-26T10:39:58.000Z

users/migrations/0008_profile_fields_optional.py

mitodl/mit-xpro

981d6c87d963837f0b9ccdd996067fe81394dba4

[ "BSD-3-Clause" ]

2,226

2019-02-20T20:03:57.000Z

2022-03-31T11:18:56.000Z

users/migrations/0008_profile_fields_optional.py

mitodl/mit-xpro

981d6c87d963837f0b9ccdd996067fe81394dba4

[ "BSD-3-Clause" ]

4

2020-08-26T19:26:02.000Z

2021-03-09T17:46:47.000Z

# Generated by Django 2.2.3 on 2019-07-15 19:24 from django.db import migrations, models def backpopulate_incomplete_profiles(apps, schema): """Backpopulate users who don't have a profile record""" User = apps.get_model("users", "User") Profile = apps.get_model("users", "Profile") for user in User.objects.annotate( has_profile=models.Exists(Profile.objects.filter(user=models.OuterRef("pk"))) ).filter(has_profile=False): Profile.objects.get_or_create(user=user) def remove_incomplete_profiles(apps, schema): """Delete records that will cause rollbacks on nullable/blankable fields to fail""" Profile = apps.get_model("users", "Profile") Profile.objects.filter( models.Q(birth_year__isnull=True) | models.Q(gender__exact="") | models.Q(job_title__exact="") | models.Q(company__exact="") ).delete() class Migration(migrations.Migration): dependencies = [("users", "0007_validate_country_and_state")] operations = [ migrations.AlterField( model_name="profile", name="birth_year", field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name="profile", name="company", field=models.CharField(blank=True, default="", max_length=128), ), migrations.AlterField( model_name="profile", name="gender", field=models.CharField( blank=True, choices=[ ("m", "Male"), ("f", "Female"), ("o", "Other/Prefer Not to Say"), ], default="", max_length=10, ), ), migrations.AlterField( model_name="profile", name="industry", field=models.CharField(blank=True, default="", max_length=60), ), migrations.AlterField( model_name="profile", name="job_function", field=models.CharField(blank=True, default="", max_length=60), ), migrations.AlterField( model_name="profile", name="job_title", field=models.CharField(blank=True, default="", max_length=128), ), migrations.AlterField( model_name="profile", name="leadership_level", field=models.CharField(blank=True, default="", max_length=60), ), migrations.RunPython( backpopulate_incomplete_profiles, reverse_code=remove_incomplete_profiles ), ]

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null

0

1

0

null

0

1

4602f7f46fb5876b81f698415a8de6581f32551a

2,827

py

Python

osr_stat_generator/generator.py

brian-thomas/osr_stat_generator

89f6a71e17c274befa3af7222a24c34a77f1f40e

[ "MIT" ]

null

osr_stat_generator/generator.py

brian-thomas/osr_stat_generator

89f6a71e17c274befa3af7222a24c34a77f1f40e

[ "MIT" ]

null

osr_stat_generator/generator.py

brian-thomas/osr_stat_generator

89f6a71e17c274befa3af7222a24c34a77f1f40e

[ "MIT" ]

null

""" OSR (LOTFP) stat generator. """ import random def d(num_sides): """ Represents rolling a die of size 'num_sides'. Returns random number from that size die """ return random.randint(1, num_sides) def xdy(num_dice, num_sides): """ represents rolling num_dice of size num_sides. Returns random number from that many dice being 'rolled'. """ return sum(d(num_sides) for i in range(num_dice)) class LotFP_Stat (object): def _get_bonus(attribute): if attribute <= 3: return -3 if attribute >= 4 and attribute <= 5: return -2 if attribute >= 6 and attribute <= 8: return -1 if attribute >= 13 and attribute <= 15: return 1 if attribute >= 16 and attribute <= 17: return 2 if attribute >= 18: return 3 # the default return 0 @property def bonus(self): return self._bonus @property def name(self): return self._name @property def value(self): return self._value def __str__(self): return (f"%s : %s(%s)" % (self.name, self.value, self.bonus)) def __init__(self, name, value): self._name = name self._value = value self._bonus = LotFP_Stat._get_bonus(value) class Stat_Set(object): """ Define a package of OSR/DnD stats """ _Stat_Name = ["CON", "DEX", "INT", "WIS", "STR", "CHA"] @property def stats(self)->list: return self._stats def sum(self)->int: # get a summed value for all stats in this set ssum = 0 for s in self.stats: ssum += s.value return ssum @property def is_hopeless(self)->bool: """ Determine if the character is so poorly stated they have bonus sum less than 1. """ bonuses = [s.bonus for s in self._stats] if sum(bonuses) < 1: return True return False def __str__(self)->str: string = "" for stat in stats: string = string + " " + str(stat.value) + " ("+str(stat.bonus) + ")" return string def __init__(self, stats): self._stats = [] for i in range(0,len(stats)): self._stats.append(LotFP_Stat(Stat_Set._Stat_Name[i], stats[i])) def generate_stats (nrof_sets:int=1, no_hopeless_char:bool=True)->list: """ Generate stats for a character. """ stat_sets = [] while (nrof_sets > 0): stats = [] for i in range (0, 6): stats.append(xdy(3,6)) stat_set = Stat_Set(stats) # no "hopeless" characters if no_hopeless_char and stat_set.is_hopeless: continue stat_sets.append(stat_set) nrof_sets -= 1 return stat_sets

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0.492754

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null

0

null

0

1

0

1

460510280808ce5edf4deb0f4ea853f4de886f05

4,149

py

Python

TextRank/textrank.py

nihanjali/PageRank

baea9d89fb962fd1311a61127123bf36d9d2dd38

[ "Apache-2.0" ]

null

TextRank/textrank.py

nihanjali/PageRank

baea9d89fb962fd1311a61127123bf36d9d2dd38

[ "Apache-2.0" ]

null

TextRank/textrank.py

nihanjali/PageRank

baea9d89fb962fd1311a61127123bf36d9d2dd38

[ "Apache-2.0" ]

null

import os import sys import copy import collections import nltk import nltk.tokenize sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..")) import pagerank ''' textrank.py ----------- This module implements TextRank, an unsupervised keyword significance scoring algorithm. TextRank builds a weighted graph representation of a document using words as nodes and coocurrence frequencies between pairs of words as edge weights. It then applies PageRank to this graph, and treats the PageRank score of each word as its significance. The original research paper proposing this algorithm is available here: https://web.eecs.umich.edu/~mihalcea/papers/mihalcea.emnlp04.pdf ''' ## TextRank ##################################################################################### def __preprocessDocument(document, relevantPosTags): ''' This function accepts a string representation of a document as input, and returns a tokenized list of words corresponding to that document. ''' words = __tokenizeWords(document) posTags = __tagPartsOfSpeech(words) # Filter out words with irrelevant POS tags filteredWords = [] for index, word in enumerate(words): word = word.lower() tag = posTags[index] if not __isPunctuation(word) and tag in relevantPosTags: filteredWords.append(word) return filteredWords def textrank(document, windowSize=2, rsp=0.15, relevantPosTags=["NN", "ADJ"]): ''' This function accepts a string representation of a document and three hyperperameters as input. It returns Pandas matrix (that can be treated as a dictionary) that maps words in the document to their associated TextRank significance scores. Note that only words that are classified as having relevant POS tags are present in the map. ''' # Tokenize document: words = __preprocessDocument(document, relevantPosTags) # Build a weighted graph where nodes are words and # edge weights are the number of times words cooccur # within a window of predetermined size. In doing so # we double count each coocurrence, but that will not # alter relative weights which ultimately determine # TextRank scores. edgeWeights = collections.defaultdict(lambda: collections.Counter()) for index, word in enumerate(words): for otherIndex in range(index - windowSize, index + windowSize + 1): if otherIndex >= 0 and otherIndex < len(words) and otherIndex != index: otherWord = words[otherIndex] edgeWeights[word][otherWord] += 1.0 # Apply PageRank to the weighted graph: wordProbabilities = pagerank.powerIteration(edgeWeights, rsp=rsp) wordProbabilities.sort_values(ascending=False) return wordProbabilities ## NLP utilities ################################################################################ def __asciiOnly(string): return "".join([char if ord(char) < 128 else "" for char in string]) def __isPunctuation(word): return word in [".", "?", "!", ",", "\"", ":", ";", "'", "-"] def __tagPartsOfSpeech(words): return [pair[1] for pair in nltk.pos_tag(words)] def __tokenizeWords(sentence): return nltk.tokenize.word_tokenize(sentence) ## tests ######################################################################################## def applyTextRank(fileName, title="a document"): print print "Reading \"%s\" ..." % title filePath = os.path.join(os.path.dirname(__file__), fileName) document = open(filePath).read() document = __asciiOnly(document) print "Applying TextRank to \"%s\" ..." % title keywordScores = textrank(document) print header = "Keyword Significance Scores for \"%s\":" % title print header print "-" * len(header) print keywordScores print def main(): applyTextRank("Cinderalla.txt", "Cinderalla") applyTextRank("Beauty_and_the_Beast.txt", "Beauty and the Beast") applyTextRank("Rapunzel.txt", "Rapunzel") if __name__ == "__main__": main()

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97

0.644493

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4,149

5.721739

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0.059271

0.038754

0

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4,149

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0

null

0

null

0

1

0

1

460a17e5a2d4a382d4b56fd109a6fc2250ecd27e

535

py

Python

examples/index/context.py

rmorshea/viewdom

24c528642e9ef0179999936b2e6f3b8a9d770df8

[ "MIT" ]

null

examples/index/context.py

rmorshea/viewdom

24c528642e9ef0179999936b2e6f3b8a9d770df8

[ "MIT" ]

null

examples/index/context.py

rmorshea/viewdom

24c528642e9ef0179999936b2e6f3b8a9d770df8

[ "MIT" ]

null

from viewdom import html, render, use_context, Context expected = '<h1>My Todos</h1><ul><li>Item: first</li></ul>' # start-after title = 'My Todos' todos = ['first'] def Todo(label): prefix = use_context('prefix') return html('<li>{prefix}{label}</li>') def TodoList(todos): return html('<ul>{[Todo(label) for label in todos]}</ul>') result = render(html(''' <{Context} prefix="Item: "> <h1>{title}</h1> <{TodoList} todos={todos} /> <//> ''')) # '<h1>My Todos</h1><ul><li>Item: first</li></ul>'

20.576923

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535

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0.057508

0.070288

0.178914

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535

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0.333333

0

null

0

null

0

1

0

1

460e42fc65b233b72dc53c72b8b11991e2b52abd

1,390

py

Python

snewpdag/plugins/Copy.py

SNEWS2/snewpdag

57f886cf08e1acd8af48ee486a1c2400e2b77b8b

[ "BSD-3-Clause" ]

null

snewpdag/plugins/Copy.py

SNEWS2/snewpdag

57f886cf08e1acd8af48ee486a1c2400e2b77b8b

[ "BSD-3-Clause" ]

21

2021-06-09T10:31:40.000Z

2022-03-21T17:14:03.000Z

snewpdag/plugins/Copy.py

SNEWS2/snewpdag

57f886cf08e1acd8af48ee486a1c2400e2b77b8b

[ "BSD-3-Clause" ]

9

2021-07-11T17:45:42.000Z

2021-09-09T22:07:18.000Z

""" Copy - copy fields into other (possibly new) fields configuration: on: list of 'alert', 'revoke', 'report', 'reset' (optional: def 'alert' only) cp: ( (in,out), ... ) Field names take the form of dir1/dir2/dir3, which in the payload will be data[dir1][dir2][dir3] """ import logging from snewpdag.dag import Node class Copy(Node): def __init__(self, cp, **kwargs): self.cp = [] for op in cp: src = op[0].split('/') dst = op[1].split('/') self.cp.append( [src, dst[:-1], dst[-1]] ) self.on = kwargs.pop('on', [ 'alert' ]) super().__init__(**kwargs) def copy(self, data): for op in self.cp: v = data # should just follow references for k in op[0]: if k in v: v = v[k] else: logging.warning('Field {} not found from source {}'.format(k, op[0])) continue # v should now hold the value to be copied d = data for k in op[1]: if k not in d: d[k] = {} d = d[k] d[op[2]] = v return data def alert(self, data): return self.copy(data) if 'alert' in self.on else True def revoke(self, data): return self.copy(data) if 'revoke' in self.on else True def reset(self, data): return self.copy(data) if 'reset' in self.on else True def report(self, data): return self.copy(data) if 'report' in self.on else True

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0.576978

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1,390

3.609091

0.345455

0.037783

0.070529

0.09068

0.232997

0.212846

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0

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0.276259

1,390

54

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0.114286

0.4

0

null

0

null

0

1

0

1

460ec208b3e5e026467442540a94ba66de7fb38a

1,562

py

Python

pages/aboutus.py

BuildWeek-AirBnB-Optimal-Price/application

c65e1ec3db309dd3afbcf9429d16489ccda534d8

[ "MIT" ]

null

pages/aboutus.py

BuildWeek-AirBnB-Optimal-Price/application

c65e1ec3db309dd3afbcf9429d16489ccda534d8

[ "MIT" ]

1

2021-08-23T21:22:51.000Z

pages/aboutus.py

BuildWeek-AirBnB-Optimal-Price/application

c65e1ec3db309dd3afbcf9429d16489ccda534d8

[ "MIT" ]

null

''' houses each team member's link to personal GitHub io or website or blog space RJProctor ''' # Imports from 3rd party libraries import dash import dash_bootstrap_components as dbc import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output from app import app # 1 column layout # https://dash-bootstrap-components.opensource.faculty.ai/l/components/layout column1 = dbc.Col( [ dcc.Markdown( """ ## The Team: Select a link to learn more about each of our team members. """ ), ], ) # create footer column2 = dbc.Col( [ dcc.Markdown( """ **Debbie Cohen** https://github.com/dscohen75/dscohen75.github.io https://medium.com/@debbiecohen_22419 **Moe Fa** --- **Eduardo Padilla** https://medium.com/@eprecendez --- **R. Jeannine Proctor** https://jproctor-rebecca.github.io/ https://medium.com/@jproctor.m.ed.tn --- **Code Review Team Members:** Taylor Curran, Regina Dircio, Robert Giuffrie, Ryan Herr, Brendon Hoss, Anika Nacey, Tomas Phillips, Raymond Tan, and Rebecca Duke-Wiesenberg """ ), ], ) layout = dbc.Row([column1, column2])

20.025641

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1,562

5.147436

0.628205

0.049813

0.052304

0.042341

0.054795

0

0.015707

0.388604

1,562

78

20.025641

0.825131

0.145327

0

0.315789

0

1

0

false

0

0.315789

0

0.315789

0

null

0

null

0

1

0

1

46114f85ae8065583b2a1f11692dfc71d3d35a86

480

py

Python

3. count_words/solution.py

dcragusa/WeeklyPythonExerciseB2

a7da3830e27891060dcfb0804c81f52b1f250ce8

[ "MIT" ]

null

3. count_words/solution.py

dcragusa/WeeklyPythonExerciseB2

a7da3830e27891060dcfb0804c81f52b1f250ce8

[ "MIT" ]

null

3. count_words/solution.py

dcragusa/WeeklyPythonExerciseB2

a7da3830e27891060dcfb0804c81f52b1f250ce8

[ "MIT" ]

null

import os from glob import iglob from concurrent.futures import ThreadPoolExecutor def count_words_file(path): if not os.path.isfile(path): return 0 with open(path) as file: return sum(len(line.split()) for line in file) def count_words_sequential(pattern): return sum(map(count_words_file, iglob(pattern))) def count_words_threading(pattern): with ThreadPoolExecutor() as pool: return sum(pool.map(count_words_file, iglob(pattern)))

24

62

0.729167

69

480

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0.463768

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0.076923

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0

null

0

null

0

1

0

1

4612f94a5e19222b82ccef62fa3f6a2d792d2930

2,617

py

Python

tests/test_apyhgnc.py

robertopreste/apyhgnc

26efa764a2262cfa12c8a2f0f077569e7f3e4e79

[ "MIT" ]

null

tests/test_apyhgnc.py

robertopreste/apyhgnc

26efa764a2262cfa12c8a2f0f077569e7f3e4e79

[ "MIT" ]

64

2019-04-21T09:22:01.000Z

2022-03-31T23:01:14.000Z

tests/test_apyhgnc.py

robertopreste/apyhgnc

26efa764a2262cfa12c8a2f0f077569e7f3e4e79

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: UTF-8 -*- # Created by Roberto Preste import pytest import asyncio from pandas.testing import assert_frame_equal from apyhgnc import apyhgnc # apyhgnc.info def test_info_searchableFields(searchable_fields): result = apyhgnc.info().searchableFields assert result == searchable_fields def test_info_storedFields(stored_fields): result = apyhgnc.info().storedFields assert result == stored_fields def test_info_url(): result = apyhgnc.info().url assert result == "http://rest.genenames.org/info" # apyhgnc.fetch def test_fetch_symbol_znf3(df_fetch_symbol_znf3): result = apyhgnc.fetch("symbol", "ZNF3") assert_frame_equal(result, df_fetch_symbol_znf3) def test_fetch_symbol_znf3_async(df_fetch_symbol_znf3): loop = asyncio.get_event_loop() result = loop.run_until_complete( apyhgnc.afetch("symbol", "ZNF3") ) assert_frame_equal(result, df_fetch_symbol_znf3) # apyhgnc.search def test_search_all_braf(df_search_all_braf): result = apyhgnc.search("BRAF") assert_frame_equal(result, df_search_all_braf) def test_search_all_braf_async(df_search_all_braf): loop = asyncio.get_event_loop() result = loop.run_until_complete( apyhgnc.asearch("BRAF") ) assert_frame_equal(result, df_search_all_braf) def test_search_symbol_braf(df_search_symbol_braf): result = apyhgnc.search("symbol", "BRAF") assert_frame_equal(result, df_search_symbol_braf) def test_search_symbol_braf_async(df_search_symbol_braf): loop = asyncio.get_event_loop() result = loop.run_until_complete( apyhgnc.asearch("symbol", "BRAF") ) assert_frame_equal(result, df_search_symbol_braf) def test_search_symbols_braf_znf3(df_search_symbols_braf_znf3): result = apyhgnc.search(symbol=["BRAF", "ZNF3"]) assert_frame_equal(result, df_search_symbols_braf_znf3) def test_search_symbols_braf_znf3_async(df_search_symbols_braf_znf3): loop = asyncio.get_event_loop() result = loop.run_until_complete( apyhgnc.asearch(symbol=["BRAF", "ZNF3"]) ) assert_frame_equal(result, df_search_symbols_braf_znf3) def test_search_symbol_and_status(df_search_symbol_and_status): result = apyhgnc.search(symbol="BRAF", status="Approved") assert_frame_equal(result, df_search_symbol_and_status) def test_search_symbol_and_status_async(df_search_symbol_and_status): loop = asyncio.get_event_loop() result = loop.run_until_complete( apyhgnc.asearch(symbol="BRAF", status="Approved") ) assert_frame_equal(result, df_search_symbol_and_status)

27.840426

69

0.762323

361

2,617

5.085873

0.152355

0.069717

0.095861

0.119826

0.679194

0.561547

0.510893

0

0.007576

0.14253

2,617

93

70

28.139785

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0.293103

0

null

0

null

0

1

0

1

46134dbafabea71d237df09c989e61b23906b699

2,770

py

Python

bdaq/tools/extract_enums.py

magnium/pybdaq

8511cff42b7f953c105e7a78c8c62f6deb2430ec

[ "MIT" ]

null

bdaq/tools/extract_enums.py

magnium/pybdaq

8511cff42b7f953c105e7a78c8c62f6deb2430ec

[ "MIT" ]

null

bdaq/tools/extract_enums.py

magnium/pybdaq

8511cff42b7f953c105e7a78c8c62f6deb2430ec

[ "MIT" ]

1

2018-08-28T06:12:06.000Z

import os.path import argparse from xml.etree import ElementTree as ET class ExtractedEnum(object): def __init__(self, tag_name, value_names): self.tag_name = tag_name self.value_names = value_names def write_pxd(self, file_): file_.write("\n ctypedef enum {}:\n".format(self.tag_name)) for name in self.value_names: file_.write(" " * 8 + "{}\n".format(name)) def write_pyx(self, file_): file_.write("\nclass {}(enum.Enum):\n".format(self.tag_name)) for name in self.value_names: file_.write(" " * 4 + "{0} = _c.{0}\n".format(name)) @staticmethod def from_xml(element, typedefs): value_names = [v.attrib["name"] for v in element.findall("EnumValue")] return ExtractedEnum( typedefs[element.attrib["id"]], value_names) def find_enums(file_or_path): # parse XML tree = ET.parse(file_or_path) # extract typedefs typedefs = {} for element in tree.findall("Typedef"): typedefs[element.attrib["type"]] = element.attrib["name"] # extract enums enums = [] for element in tree.findall("Enumeration"): enums.append(ExtractedEnum.from_xml(element, typedefs)) print "Found {} enums to extract.".format(len(enums)) return enums def write_cython(pyx_file, pxd_file, enums): # write pxd file header pxd_file.write("# GENERATED FILE; DO NOT MODIFY\n\n") pxd_file.write( 'cdef extern from "bdaqctrl.h" namespace "Automation::BDaq":') # write pyx file header pyx_file.write("# GENERATED FILE; DO NOT MODIFY\n\n") pyx_file.write("import enum\n\n") pyx_file.write("cimport wrapper_enums_c as _c\n\n") # write enums for extracted in enums: print "Extracting definition of {}...".format(extracted.tag_name) extracted.write_pyx(pyx_file) extracted.write_pxd(pxd_file) print "Done extracting definitions." def main(): # parse script arguments parser = argparse.ArgumentParser( description="Extract enum definitions from header.") parser.add_argument( "--xml-in", default="bdaqctrl.h.xml", help="path to gccxml result") parser.add_argument( "--path-out", default=".", help="path to output directory") args = parser.parse_args() # extract enums enums = find_enums(args.xml_in) out_pyx_path = os.path.join(args.path_out, "wrapper_enums.pyx") out_pxd_path = os.path.join(args.path_out, "wrapper_enums_c.pxd") with open(out_pyx_path, "wb") as out_pyx_file: with open(out_pxd_path, "wb") as out_pxd_file: write_cython(out_pyx_file, out_pxd_file, enums) if __name__ == "__main__": main()

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78

0.640794

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2,770

4.548387

0.268817

0.053191

0.026005

0.020095

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0.148936

0.06383

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0.001882

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0.047619

0

null

0

null

0

1

0

1

46138642b2c4dc6d2e31c500bf65e34679d07086

1,230

py

Python

Objetos/biblioteca.py

SebaB29/Python

8fe7b375e200d2a629e3ef83a2356002621267a6

[ "MIT" ]

null

Objetos/biblioteca.py

SebaB29/Python

8fe7b375e200d2a629e3ef83a2356002621267a6

[ "MIT" ]

null

Objetos/biblioteca.py

SebaB29/Python

8fe7b375e200d2a629e3ef83a2356002621267a6

[ "MIT" ]

null

class Libro: def __init__(self, titulo, autor): """...""" self.titulo = titulo self.autor = autor def obtener_titulo(self): """...""" return str(self.titulo) def obtener_autor(self): """...""" return str(self.autor) class Biblioteca: def __init__(self): """...""" self.coleccion = set() def agregar_libro(self, libro): """...""" self.coleccion.add((libro.titulo, libro.autor)) def sacar_libro(self, titulo, autor): """...""" if not (titulo, autor) in self.coleccion: raise Exception("El libro no esta en la colección") self.coleccion.remove((titulo, autor)) return f"Libro: {titulo}, Autor: {autor}" def contiene_libro(self, titulo, autor): """...""" return (titulo, autor) in self.coleccion libro = Libro("HyP", "JK") libro1 = Libro("La Isla M", "JCortazar") libro2 = Libro("El tunel", "Sabato") biblio = Biblioteca() biblio.agregar_libro(libro) biblio.agregar_libro(libro1) biblio.agregar_libro(libro2) print(biblio.contiene_libro("HyP", "JK")) print(biblio.sacar_libro("HyP", "JK")) print(biblio.contiene_libro("HyP", "JK"))

27.954545

63

0.582927

141

1,230

4.950355

0.29078

0.110315

0.057307

0.048711

0.187679

0.083095

0

0.00431

0.245528

1,230

44

64

27.954545

0.747845

0.021951

0

0.066667

0

0.098459

0

1

0.233333

false

0

0.433333

0.1

0

null

0

null

0

1

0

1

461741b98d074cd4fe4db2b2b85584fd2a2f2b2d

442

py

Python

11.-Operaciones_entero_con_float_python.py

emiliocarcanobringas/11.-Operaciones_entero_con_float_python

faf3bf2fae3b7a990e0d20483ac9ac219dcb7857

[ "MIT" ]

null

11.-Operaciones_entero_con_float_python.py

emiliocarcanobringas/11.-Operaciones_entero_con_float_python

faf3bf2fae3b7a990e0d20483ac9ac219dcb7857

[ "MIT" ]

null

11.-Operaciones_entero_con_float_python.py

emiliocarcanobringas/11.-Operaciones_entero_con_float_python

faf3bf2fae3b7a990e0d20483ac9ac219dcb7857

[ "MIT" ]

null

# Este programa muestra la suma de dos variables, de tipo int y float print("Este programa muestra la suma de dos variables, de tipo int y float") print("También muestra que la variable que realiza la operación es de tipo float") numero1 = 7 numero2 = 3.1416 sumadeambos = numero1 + numero2 print("El resultado de la suma es: ") print(sumadeambos) print(type(sumadeambos)) # Este programa fue escrito por Emilio Carcaño Bringas

34

83

0.748869

69

442

4.797101

0.492754

0.108761

0.114804

0.126888

0.356495

0

0.027855

0.187783

442

12

84

36.833333

0.89415

0.271493

0

0.547231

0

1

0

false

0

0.625

0

null

0

null

0

1

0

1

46195f448a6bacb19ed1a57308155484d10e7c8b

2,137

py

Python

datadog_cluster_agent/tests/test_datadog_cluster_agent.py

tdimnet/integrations-core

a78133a3b71a1b8377fa214d121a98647031ab06

[ "BSD-3-Clause" ]

1

2021-12-15T22:45:14.000Z

datadog_cluster_agent/tests/test_datadog_cluster_agent.py

tdimnet/integrations-core

a78133a3b71a1b8377fa214d121a98647031ab06

[ "BSD-3-Clause" ]

null

datadog_cluster_agent/tests/test_datadog_cluster_agent.py

tdimnet/integrations-core

a78133a3b71a1b8377fa214d121a98647031ab06

[ "BSD-3-Clause" ]

null

# (C) Datadog, Inc. 2021-present # All rights reserved # Licensed under a 3-clause BSD style license (see LICENSE) from typing import Any, Dict from datadog_checks.base.stubs.aggregator import AggregatorStub from datadog_checks.datadog_cluster_agent import DatadogClusterAgentCheck from datadog_checks.dev.utils import get_metadata_metrics NAMESPACE = 'datadog.cluster_agent' METRICS = [ 'admission_webhooks.certificate_expiry', 'admission_webhooks.mutation_attempts', 'admission_webhooks.mutation_errors', 'admission_webhooks.reconcile_errors', 'admission_webhooks.reconcile_success', 'admission_webhooks.webhooks_received', 'aggregator.flush', 'aggregator.processed', 'api_requests', 'cluster_checks.busyness', 'cluster_checks.configs_dangling', 'cluster_checks.configs_dispatched', 'cluster_checks.failed_stats_collection', 'cluster_checks.nodes_reporting', 'cluster_checks.rebalancing_decisions', 'cluster_checks.rebalancing_duration_seconds', 'cluster_checks.successful_rebalancing_moves', 'cluster_checks.updating_stats_duration_seconds', 'datadog.rate_limit_queries.limit', 'datadog.rate_limit_queries.period', 'datadog.rate_limit_queries.remaining', 'datadog.rate_limit_queries.reset', 'datadog.requests', 'external_metrics', 'external_metrics.datadog_metrics', 'external_metrics.delay_seconds', 'external_metrics.processed_value', 'secret_backend.elapsed', 'go.goroutines', 'go.memstats.alloc_bytes', 'go.threads', ] def test_check(aggregator, instance, mock_metrics_endpoint): # type: (AggregatorStub, Dict[str, Any]) -> None check = DatadogClusterAgentCheck('datadog_cluster_agent', {}, [instance]) # dry run to build mapping for label joins check.check(instance) check.check(instance) for metric in METRICS: aggregator.assert_metric(NAMESPACE + '.' + metric) aggregator.assert_metric_has_tag_prefix(NAMESPACE + '.' + metric, 'is_leader:') aggregator.assert_all_metrics_covered() aggregator.assert_metrics_using_metadata(get_metadata_metrics())

34.467742

87

0.759944

236

2,137

6.54661

0.470339

0.075728

0.041424

0.059547

0

0.00272

0.139916

2,137

61

88

35.032787

0.837867

0.091717

0

0.042553

0

0.499225

0.439793

0

0.085106

1

0.021277

false

0

0.085106

0

0.106383

0

null

0

1

null

0

1

461c16f8a2b21046567d37b8c2d1c4dfd8195d43

1,415

py

Python

pyeccodes/defs/grib2/tables/15/3_11_table.py

ecmwf/pyeccodes

dce2c72d3adcc0cb801731366be53327ce13a00b

[ "Apache-2.0" ]

7

2020-04-14T09:41:17.000Z

2021-08-06T09:38:19.000Z

pyeccodes/defs/grib2/tables/8/3_11_table.py

ecmwf/pyeccodes

dce2c72d3adcc0cb801731366be53327ce13a00b

[ "Apache-2.0" ]

null

pyeccodes/defs/grib2/tables/8/3_11_table.py

ecmwf/pyeccodes

dce2c72d3adcc0cb801731366be53327ce13a00b

[ "Apache-2.0" ]

3

2020-04-30T12:44:48.000Z

2020-12-15T08:40:26.000Z

def load(h): return ({'abbr': 0, 'code': 0, 'title': 'There is no appended list'}, {'abbr': 1, 'code': 1, 'title': 'Numbers define number of points corresponding to full coordinate ' 'circles (i.e. parallels), coordinate values on each circle are ' 'multiple of the circle mesh, and extreme coordinate values given ' 'in grid definition (i.e. extreme longitudes) may not be reached in ' 'all rows'}, {'abbr': 2, 'code': 2, 'title': 'Numbers define number of points corresponding to coordinate lines ' 'delimited by extreme coordinate values given in grid definition ' '(i.e. extreme longitudes) which are present in each row'}, {'abbr': 3, 'code': 3, 'title': 'Numbers define the actual latitudes for each row in the grid. The ' 'list of numbers are integer values of the valid latitudes in ' 'microdegrees (scaled by 10-6) or in unit equal to the ratio of the ' 'basic angle and the subdivisions number for each row, in the same ' 'order as specified in the scanning mode flag', 'units': 'bit no. 2'}, {'abbr': None, 'code': 255, 'title': 'Missing'})

58.958333

91

0.530035

167

1,415

4.491018

0.502994

0.048

0.072

0.064

0.333333

0.293333

0.168

0

0.017045

0.378092

1,415

23

92

61.521739

0.835227

0

0.613428

0

1

0.043478

false

0

0.043478

0.086957

0

null

0

1

0

null

0

1

1ca867b22f2e4c2942595bca95ab919246220f6f

342

py

Python

python/Recursion.py

itzsoumyadip/vs

acf32cd0bacb26e62854060e0acf5eb41b7a68c8

[ "Unlicense" ]

1

2019-07-05T04:27:05.000Z

python/Recursion.py

itzsoumyadip/vs

acf32cd0bacb26e62854060e0acf5eb41b7a68c8

[ "Unlicense" ]

null

python/Recursion.py

itzsoumyadip/vs

acf32cd0bacb26e62854060e0acf5eb41b7a68c8

[ "Unlicense" ]

null

## to change recursion limit import sys print(sys.getrecursionlimit()) #Return the current value of the recursion limit #1000 ## change the limit sys.setrecursionlimit(2000) # change value of the recursion limit #2000 i=0 def greet(): global i i+=1 print('hellow',i) greet() greet() # hellow 1996 then error

18

80

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48

342

4.833333

0.541667

0.181034

0.086207

0.163793

0.206897

0

0.068182

0.22807

342

19

81

18

0.810606

0.479532

0

0.2

0

0.035714

0

1

0.1

false

0

0.1

0

0.2

0

null

0

1

0

null

0

1

1cb668eb96e3db81034b5b4b90591cfcdc750510

2,325

py

Python

tests/test_clients.py

rodrigoapereira/python-hydra-sdk

ea3d61ed6f7ef1bc1990c442548d21b10155d075

[ "MIT" ]

null

tests/test_clients.py

rodrigoapereira/python-hydra-sdk

ea3d61ed6f7ef1bc1990c442548d21b10155d075

[ "MIT" ]

null

tests/test_clients.py

rodrigoapereira/python-hydra-sdk

ea3d61ed6f7ef1bc1990c442548d21b10155d075

[ "MIT" ]

null

# Copyright (C) 2017 O.S. Systems Software LTDA. # This software is released under the MIT License import unittest from hydra import Hydra, Client class ClientsTestCase(unittest.TestCase): def setUp(self): self.hydra = Hydra('http://localhost:4444', 'client', 'secret') self.client = Client( name='new-client', secret='client-secret', scopes=['devices', 'products'], redirect_uris=['http://localhost/callback'], ) def test_can_create_client(self): client = self.hydra.clients.create(self.client) self.addCleanup(self.hydra.clients.delete, client_id=client.id) self.assertEqual(client.name, 'new-client') self.assertEqual(client.secret, 'client-secret') self.assertEqual(client.scopes, ['devices', 'products']) self.assertEqual(client.redirect_uris, ['http://localhost/callback']) def test_can_get_client(self): client_id = self.hydra.clients.create(self.client).id self.addCleanup(self.hydra.clients.delete, client_id=client_id) client = self.hydra.clients.get(client_id) self.assertEqual(client.id, client_id) def test_can_update_client(self): client = self.hydra.clients.create(self.client) self.addCleanup(self.hydra.clients.delete, client_id=client.id) self.assertEqual(client.name, 'new-client') client.name = 'new-client-name' self.hydra.clients.update(client) self.assertEqual(client.name, 'new-client-name') def test_can_delete_client(self): client = self.hydra.clients.create(self.client) self.addCleanup(self.hydra.clients.delete, client_id=client.id) self.assertIsNotNone(self.hydra.clients.get(client.id)) self.hydra.clients.delete(client.id) self.assertIsNone(self.hydra.clients.get(client.id)) def test_can_list_all_clients(self): client1 = self.hydra.clients.create(self.client) self.addCleanup(self.hydra.clients.delete, client_id=client1.id) client2 = self.hydra.clients.create(self.client) self.addCleanup(self.hydra.clients.delete, client_id=client2.id) clients = [c.id for c in self.hydra.clients.all()] self.assertIn(client1.id, clients) self.assertIn(client2.id, clients)

40.086207

77

0.67871

294

2,325

5.272109

0.193878

0.110323

0.185806

0.099355

0.611613

0.543871

0.467097

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0.371613

0

0.007463

0.193118

2,325

57

78

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0.818763

0.04043

0

0.181818

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0.089318

0

0.25

1

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false

0

0.045455

0

0.204545

0

null

0

1

0

null

0

1

1cb6b746023f10a214f482d1a5a600bbf6962f4e

4,097

py

Python

test/PR_test/unit_test/backend/test_binary_crossentropy.py

Phillistan16/fastestimator

54c9254098aee89520814ed54b6e6016b821424f

[ "Apache-2.0" ]

null

test/PR_test/unit_test/backend/test_binary_crossentropy.py

Phillistan16/fastestimator

54c9254098aee89520814ed54b6e6016b821424f

[ "Apache-2.0" ]

null

test/PR_test/unit_test/backend/test_binary_crossentropy.py

Phillistan16/fastestimator

54c9254098aee89520814ed54b6e6016b821424f

[ "Apache-2.0" ]

1

2020-04-28T12:16:10.000Z

# Copyright 2020 The FastEstimator 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. # ============================================================================== import unittest import numpy as np import tensorflow as tf import torch import fastestimator as fe class TestBinarayCrossEntropy(unittest.TestCase): @classmethod def setUpClass(cls): cls.tf_true = tf.constant([[1], [0], [1], [0]]) cls.tf_pred = tf.constant([[0.9], [0.3], [0.8], [0.1]]) cls.torch_true = torch.tensor([[1], [0], [1], [0]]) cls.torch_pred = torch.tensor([[0.9], [0.3], [0.8], [0.1]]) def test_binaray_crossentropy_average_loss_true_tf(self): obj1 = fe.backend.binary_crossentropy(y_pred=self.tf_pred, y_true=self.tf_true).numpy() obj2 = 0.19763474 self.assertTrue(np.allclose(obj1, obj2)) def test_binaray_crossentropy_average_loss_false_tf(self): obj1 = fe.backend.binary_crossentropy(y_pred=self.tf_pred, y_true=self.tf_true, average_loss=False).numpy() obj2 = np.array([0.10536041, 0.3566748, 0.22314338, 0.10536041]) self.assertTrue(np.allclose(obj1, obj2)) def test_binaray_crossentropy_average_from_logit_average_loss_true_tf(self): obj1 = fe.backend.binary_crossentropy(y_pred=self.tf_pred, y_true=self.tf_true, from_logits=True, average_loss=True).numpy() obj2 = 0.57775164 self.assertTrue(np.allclose(obj1, obj2)) def test_binaray_crossentropy_average_from_logit_average_loss_false_tf(self): obj1 = fe.backend.binary_crossentropy(y_pred=self.tf_pred, y_true=self.tf_true, from_logits=True, average_loss=False).numpy() obj2 = np.array([0.34115386, 0.8543553, 0.37110066, 0.7443967]) self.assertTrue(np.allclose(obj1, obj2)) def test_binaray_crossentropy_average_loss_true_torch(self): obj1 = fe.backend.binary_crossentropy(y_pred=self.torch_pred, y_true=self.torch_true).numpy() obj2 = 0.19763474 self.assertTrue(np.allclose(obj1, obj2)) def test_binaray_crossentropy_average_loss_false_torch(self): obj1 = fe.backend.binary_crossentropy(y_pred=self.torch_pred, y_true=self.torch_true, average_loss=False).numpy() obj2 = np.array([0.10536041, 0.3566748, 0.22314338, 0.10536041]) self.assertTrue(np.allclose(obj1, obj2)) def test_binaray_crossentropy_average_from_logit_average_loss_true_torch(self): obj1 = fe.backend.binary_crossentropy(y_pred=self.torch_pred, y_true=self.torch_true, from_logits=True, average_loss=True).numpy() obj2 = 0.57775164 self.assertTrue(np.allclose(obj1, obj2)) def test_binaray_crossentropy_average_from_logit_average_loss_false_torch(self): obj1 = fe.backend.binary_crossentropy(y_pred=self.torch_pred, y_true=self.torch_true, from_logits=True, average_loss=False).numpy() obj2 = np.array([0.34115386, 0.8543553, 0.37110066, 0.7443967]) self.assertTrue(np.allclose(obj1, obj2))

48.77381

115

0.608494

508

4,097

4.683071

0.228346

0.064733

0.047079

0.087432

0.705338

0.699454

0.688525

0.681799

0

0.080324

0.276788

4,097

83

116

49.361446

0.722578

0.161826

0

0.578947

0

0.140351

1

0.157895

false

0

0.087719

0

0.263158

0

null

0

1

0

null

0

1

1cb6d29da4f211a81a8c27dc9b9e2bda5b85f6c6

619

py

Python

ats_hex.py

kyeser/scTools

c4c7dee0c41c8afe1da6350243df5f9d9b929c7f

[ "MIT" ]

null

ats_hex.py

kyeser/scTools

c4c7dee0c41c8afe1da6350243df5f9d9b929c7f

[ "MIT" ]

null

ats_hex.py

kyeser/scTools

c4c7dee0c41c8afe1da6350243df5f9d9b929c7f

[ "MIT" ]

null

#!/usr/bin/env python from scTools import interval, primeForm from scTools.rowData import ats from scTools.scData import * count = 1 for w in ats: prime = primeForm(w[0:6]) print '%3d\t' % count, for x in w: print '%X' % x, print ' ', intervals = interval(w) for y in intervals: print '%X' % y, print '\t%2d\t' % sc6.index(prime), if prime == sc6[1] or prime == sc6[7] or prime == sc6[8] or \ prime == sc6[20] or prime == sc6[32] or prime == sc6[35]: print 'AC' elif prime == sc6[17]: print 'AT' else: print count += 1

20.633333

65

0.544426

94

619

3.585106

0.43617

0.166172

0.148368

0

0.058685

0.311793

619

29

66

21.344828

0.732394

0.03231

0

0.040134

0

null

0

0.136364

null

0.363636

0

null

0

null

0

1

0

1

1cbc8c259914408b1b3a8b596c9f92062c17a6d8

1,902

py

Python

OpenCV/bookIntroCV_008_binarizacao.py

fotavio16/PycharmProjects

f5be49db941de69159ec543e8a6dde61f9f94d86

[ "MIT" ]

null

OpenCV/bookIntroCV_008_binarizacao.py

fotavio16/PycharmProjects

f5be49db941de69159ec543e8a6dde61f9f94d86

[ "MIT" ]

null

OpenCV/bookIntroCV_008_binarizacao.py

fotavio16/PycharmProjects

f5be49db941de69159ec543e8a6dde61f9f94d86

[ "MIT" ]

null

''' Livro-Introdução-a-Visão-Computacional-com-Python-e-OpenCV-3 Repositório de imagens https://github.com/opencv/opencv/tree/master/samples/data ''' import cv2 import numpy as np from matplotlib import pyplot as plt #import mahotas VERMELHO = (0, 0, 255) VERDE = (0, 255, 0) AZUL = (255, 0, 0) AMARELO = (0, 255, 255) BRANCO = (255,255,255) CIANO = (255, 255, 0) PRETO = (0, 0, 0) img = cv2.imread('ponte2.jpg') # Flag 1 = Color, 0 = Gray, -1 = Unchanged img = img[::2,::2] # Diminui a imagem #Binarização com limiar img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) suave = cv2.GaussianBlur(img, (7, 7), 0) # aplica blur (T, bin) = cv2.threshold(suave, 160, 255, cv2.THRESH_BINARY) (T, binI) = cv2.threshold(suave, 160, 255, cv2.THRESH_BINARY_INV) ''' resultado = np.vstack([ np.hstack([suave, bin]), np.hstack([binI, cv2.bitwise_and(img, img, mask = binI)]) ]) ''' resultado = np.vstack([ np.hstack([img, suave]), np.hstack([bin, binI]) ]) cv2.imshow("Binarização da imagem", resultado) cv2.waitKey(0) #Threshold adaptativo bin1 = cv2.adaptiveThreshold(suave, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 21, 5) bin2 = cv2.adaptiveThreshold(suave, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 21, 5) resultado = np.vstack([ np.hstack([img, suave]), np.hstack([bin1, bin2]) ]) cv2.imshow("Binarização adaptativa da imagem", resultado) cv2.waitKey(0) #Threshold com Otsu e Riddler-Calvard ''' T = mahotas.thresholding.otsu(suave) temp = img.copy() temp[temp > T] = 255 temp[temp < 255] = 0 temp = cv2.bitwise_not(temp) T = mahotas.thresholding.rc(suave) temp2 = img.copy() temp2[temp2 > T] = 255 temp2[temp2 < 255] = 0 temp2 = cv2.bitwise_not(temp2) resultado = np.vstack([ np.hstack([img, suave]), np.hstack([temp, temp2]) ]) cv2.imshow("Binarização com método Otsu e Riddler-Calvard", resultado) cv2.waitKey(0) '''

24.384615

102

0.684017

287

1,902

4.473868

0.337979

0.049844

0.046729

0.05919

0.336449

0.316978

0.154984

0.095794

0

0.079975

0.151945

1,902

77

103

24.701299

0.716057

0.160358

0

0.266667

0

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0

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0

0.1

0

null

0

null

0

1

0

1

1ccbfd84ed556c53c45b775bad63d6e98f029035

2,444

py

Python

accounts/migrations/0001_initial.py

vikifox/CMDB

bac9b7da204c3eee344f55bb2187df38ef3b3d4c

[ "Apache-2.0" ]

16

2020-08-13T04:28:50.000Z

2021-06-10T06:24:51.000Z

accounts/migrations/0001_initial.py

vikifox/CMDB

bac9b7da204c3eee344f55bb2187df38ef3b3d4c

[ "Apache-2.0" ]

1

2019-04-15T07:01:42.000Z

accounts/migrations/0001_initial.py

vikifox/CMDB

bac9b7da204c3eee344f55bb2187df38ef3b3d4c

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.20 on 2019-04-18 05:56 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('cmdb', '0001_initial'), ('appconf', '0001_initial'), ] operations = [ migrations.CreateModel( name='UserInfo', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('password', models.CharField(max_length=128, verbose_name='password')), ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), ('username', models.CharField(db_index=True, max_length=40, unique=True)), ('email', models.EmailField(max_length=255)), ('is_active', models.BooleanField(default=False)), ('is_superuser', models.BooleanField(default=False)), ('nickname', models.CharField(blank=True, max_length=64, null=True)), ('ldap_name', models.CharField(blank=True, max_length=64)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='PermissionList', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=64)), ('url', models.CharField(max_length=255)), ], ), migrations.CreateModel( name='RoleList', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=64)), ('delivery', models.ManyToManyField(blank=True, to='appconf.Project')), ('permission', models.ManyToManyField(blank=True, to='accounts.PermissionList')), ('webssh', models.ManyToManyField(blank=True, to='cmdb.HostGroup')), ], ), migrations.AddField( model_name='userinfo', name='role', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='accounts.RoleList'), ), ]

40.733333

128

0.576105

240

2,444

5.729167

0.379167

0.052364

0.069818

0.336727

0.266909

0.216

0

0.025583

0.280278

2,444

59

129

41.423729

0.756111

0.028232

0

0.352941

1

0

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0.009696

0

1

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false

0.019608

0.058824

0

0.137255

0

null

0

1

0

null

0

1

1cce392f19d05213758223c7be8ae0c890defc93

772

py

Python

sort_insertion.py

rachitmishra/45

c38650f4fa2ea1857848b95320cdc37929b39197

[ "MIT" ]

null

sort_insertion.py

rachitmishra/45

c38650f4fa2ea1857848b95320cdc37929b39197

[ "MIT" ]

null

sort_insertion.py

rachitmishra/45

c38650f4fa2ea1857848b95320cdc37929b39197

[ "MIT" ]

null

""" Insertion Sort Approach: Loop Complexity: O(n2) """ def sort_insertion(input_arr): print("""""""""""""""""""""""""") print("input " + str(input_arr)) print("""""""""""""""""""""""""") ln = len(input_arr) i = 1 # Assuming first element is sorted while i < ln: # n times c = input_arr[i] p = i while p > 0 and input_arr[p - 1] > c: # n times input_arr[p] = input_arr[p - 1] p -= 1 input_arr[p] = c i += 1 print("pass " + str(i) + " " + str(input_arr)) print("""""""""""""""""""""""""") print("result " + str(input_arr)) print("""""""""""""""""""""""""") if __name__ == '__main__': arr = [21, 4, 1, 3, 9, 20, 25, 6, 21, 14] sort_insertion(arr)

22.057143

56

0.443005

98

772

3.285714

0.418367

0.248447

0.161491

0.149068

0

0.040367

0.294041

772

34

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0.550459

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1

0.047619

false

0.047619

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0.047619

0.333333

0

null

1

0

null

0

1

1cd0eac7f0e61913c8d825507589abb58c69759a

14,852

py

Python

tests/rest/test_rest.py

sapshah-cisco/cobra

e2b5a75495931844180b05d776c15829e63f0dab

[ "Apache-2.0" ]

93

2015-02-11T01:41:22.000Z

2022-02-03T22:55:57.000Z

tests/rest/test_rest.py

sapshah-cisco/cobra

e2b5a75495931844180b05d776c15829e63f0dab

[ "Apache-2.0" ]

112

2015-02-23T22:20:29.000Z

2022-03-22T21:46:52.000Z

tests/rest/test_rest.py

sapshah-cisco/cobra

e2b5a75495931844180b05d776c15829e63f0dab

[ "Apache-2.0" ]

61

2015-02-22T01:34:01.000Z

2022-01-19T09:50:21.000Z

# Copyright 2015 Cisco Systems, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import print_function from future import standard_library standard_library.install_aliases() from builtins import str from builtins import range from builtins import object import http.client import os import pytest import random import string import time import xml.etree.ElementTree as ET import logging from cobra.internal.codec.jsoncodec import toJSONStr, fromJSONStr from cobra.internal.codec.xmlcodec import toXMLStr, fromXMLStr import cobra.mit.access import cobra.mit.request import cobra.mit.session cobra = pytest.importorskip("cobra") cobra.model = pytest.importorskip("cobra.model") cobra.model.fv = pytest.importorskip("cobra.model.fv") import cobra.model.pol import cobra.model.infra import cobra.services pytestmark = pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="You must specify at least one --apic " + "option on the CLI") slow = pytest.mark.slow http.client.HTTPConnection.debuglevel = 1 logging.basicConfig(level=logging.DEBUG) fakeDevicePackageZip = 'Archive.zip' realDevicePackageZip = 'asa-device-pkg.zip' @pytest.fixture(params=pytest.config.getvalue('apic')) def moDir(request): url, user, password, secure = request.param secure = False if secure == 'False' else True session = cobra.mit.session.LoginSession(url, user, password, secure=secure) md = cobra.mit.access.MoDirectory(session) md.login() return md class Test_rest_configrequest(object): def test_createtenant(self, moDir, tenantname): """ create a tenant and commit it """ dcid = str(time.time()).replace('.', '') polUni = cobra.model.pol.Uni('') tenant = cobra.model.fv.Tenant(polUni, tenantname[0]) configRequest = cobra.mit.request.ConfigRequest() configRequest.addMo(tenant) configRequest.subtree = 'full' configRequest.id = dcid mos = moDir.commit(configRequest) assert mos mo = mos[0] assert len(mos) > 0 assert str(mo.dn) == str(tenant.dn) assert len(list(mo.children)) >= 1 def test_lookupcreatedtenant(self, moDir, tenantname): tenant = moDir.lookupByDn('uni/tn-{0}'.format(tenantname[0])) assert tenant def test_deletetenant(self, moDir, tenantname): tenant = moDir.lookupByDn('uni/tn-{0}'.format(tenantname[0])) tenant.delete() configRequest = cobra.mit.request.ConfigRequest() configRequest.addMo(tenant) r = moDir.commit(configRequest) assert r == [] tenant = moDir.lookupByDn('uni/tn-{0}'.format(tenantname[0])) assert not tenant class Test_rest_classquery(object): def test_classquery_shorthand_filter(self, moDir): """ check that lookupByClass is able to lookup tenant common and only one item is returned """ commonTn = moDir.lookupByClass( 'fvTenant', propFilter='eq(fvTenant.name, "common")') assert len(commonTn) == 1 commonTn = commonTn[0] assert str(commonTn.dn) == 'uni/tn-common' def test_classquery_normal(self, moDir): """ check that a class query with no special properties succeeds we should get at least three tenants (infra, mgmt, common) """ classQuery = cobra.mit.request.ClassQuery('fvTenant') commonTn = moDir.query(classQuery) def findtn(tnlist, tnname): for tn in tnlist: if tn.name == tnname: return True return False assert findtn(commonTn, 'common') assert findtn(commonTn, 'infra') assert findtn(commonTn, 'mgmt') def test_classquery_filter(self, moDir): """ check that a class query with a property filter works """ classQuery = cobra.mit.request.ClassQuery('fvTenant') classQuery.propFilter = 'eq(fvTenant.name, "common")' commonTn = moDir.query(classQuery) commonTn = commonTn[0] assert str(commonTn.dn) == 'uni/tn-common' def test_classquery_subtree(self, moDir): """ check that a class query with a subtree response """ classQuery = cobra.mit.request.ClassQuery('fvTenant') classQuery.subtree = 'full' classQuery.propFilter = 'eq(fvTenant.name, "common")' commonTn = moDir.query(classQuery) commonTn = commonTn[0] assert str(commonTn.dn) == 'uni/tn-common' # expect at least 3 child objects assert len(list(commonTn.children)) >= 3 assert str(commonTn.BD['default'].dn) == 'uni/tn-common/BD-default' @pytest.mark.parametrize("cls,subtree", [ pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")(('fvTenant', 'full')), pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")(('infraInfra', 'no')), pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")(('fvAEPg', 'full')), pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")(('infraFuncP', 'full')), pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")(('fabricNode', 'no')), pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")(('topSystem', 'full')), ]) def test_classquery_many(self, moDir, cls, subtree): classQuery = cobra.mit.request.ClassQuery(cls) classQuery.subtree = subtree # classQuery.propFilter='eq(fvTenant.name, "common")' mos = moDir.query(classQuery) assert len(mos) > 0 def test_classquery_verifyxml(self, moDir): """ verify that the XML returned by lookupByClass is valid """ commonTn = moDir.lookupByClass( 'fvTenant', propFilter='eq(fvTenant.name, "common")') commonTn = commonTn[0] xml = ET.fromstring(toXMLStr(commonTn)) assert xml.tag == 'fvTenant' def test_classquery_negative(self, moDir): """ generate a random tenant name and ensure that we dont find a match for it """ tenantName = ''.join(random.choice(string.ascii_lowercase) for i in range(64)) tenant = moDir.lookupByClass( 'fvTenant', propFilter='eq(fvTenant.name, "{0}")'.format(tenantName)) assert len(tenant) == 0 class Test_rest_dnquery(object): def test_dnquery_normal(self, moDir, dn): dnQuery = cobra.mit.request.DnQuery(dn) dnQuery.subtree = 'full' commonTn = moDir.query(dnQuery) assert len(commonTn) == 1 commonTn = commonTn[0] assert str(commonTn.dn) == str(dn) # expect at least 3 child objects assert len(list(commonTn.children)) >= 3 assert str(commonTn.BD['default'].dn) == 'uni/tn-common/BD-default' def test_dnquery_shorthand(self, moDir, dn): commonTn = moDir.lookupByDn(dn) assert str(commonTn.dn) == str(dn) class Test_rest_getLoginDomains(object): def test_getDomains(self, apic): """Verify that the getLoginDomains() method works. """ url, user, password, secure = apic secure = False if secure == 'False' else True session = cobra.mit.session.LoginSession(url, user, password, secure=secure) session.getLoginDomains() assert session.domains != [] def test_loginDomains_setting(self, apic): """Verify that the loginDomain can be set.""" url, user, password, secure = apic secure = False if secure == 'False' else True session = cobra.mit.session.LoginSession(url, user, password, secure=secure) session.getLoginDomains() session.loginDomain = session.domains[0] assert session.loginDomain == session.domains[0] class Test_rest_login(object): def test_login_positive(self, apic): """ verify that the login function works """ url, user, password, secure = apic secure = False if secure == 'False' else True session = cobra.mit.session.LoginSession(url, user, password, secure=secure) moDir = cobra.mit.access.MoDirectory(session) moDir.login() assert moDir._session def test_login_negative(self, apic): """ verify that the invalid logins throw an exception """ url, user, password, secure = apic secure = False if secure == 'False' else True session = cobra.mit.session.LoginSession(url, user, 'wrongpassword', secure=secure) moDir = cobra.mit.access.MoDirectory(session) with pytest.raises(cobra.mit.session.LoginError): moDir.login() @slow def test_login_timeout(self, apic): """ verify that the session times out properly """ url, user, password, secure = apic secure = False if secure == 'False' else True session = cobra.mit.session.LoginSession(url, user, password, secure=secure) moDir = cobra.mit.access.MoDirectory(session) moDir.login() start = time.time() pki = moDir.lookupByDn('uni/userext/pkiext/webtokendata') refreshTime = pki.webtokenTimeoutSeconds sleepTime = float(refreshTime) - (time.time() - start) sleepTime += 1.0 # one second buffer, for good measure time.sleep(sleepTime) with pytest.raises(cobra.mit.request.QueryError): moDir.lookupByClass('pkiWebTokenData') def test_login_get_timeout(self, apic): """ verify that the session times out properly """ url, user, password, secure = apic secure = False if secure == 'False' else True session = cobra.mit.session.LoginSession(url, user, password, secure=secure) moDir = cobra.mit.access.MoDirectory(session) moDir.login() assert moDir._session.refreshTime > int(time.time()) assert moDir._session.refreshTimeoutSeconds > 0 def test_rest_login_reauth(self, apic): """Verify that the reauth call returns a different session cookie.""" url, user, password, secure = apic secure = False if secure == 'False' else True session = cobra.mit.session.LoginSession(url, user, password, secure=secure) moDir = cobra.mit.access.MoDirectory(session) moDir.login() orig_cookie = session.cookie # sleep for 5 seconds to ensure we get a different cookie. time.sleep(5) moDir.reauth() assert orig_cookie != session.cookie class Test_rest_tracequery(object): @pytest.mark.parametrize("cls", [ pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")('fvEpP'), pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")('vlanCktEp'), pytest.mark.skipif(pytest.config.getvalue('apic') == [], reason="no --apic")('actrlRule'), ]) def test_tracequery(self, moDir, cls): """ Query every leaf in the fabric for some concrete objects and try to find at least one response. If we don't get that, we fail """ traceResponse = 0 nodes = moDir.lookupByClass( 'fabricNode', propFilter='eq(fabricNode.role,"leaf"') assert len(nodes) > 0 for node in nodes: a = cobra.mit.request.TraceQuery(node.dn, cls) print(a.getUrl(moDir._session)) mos = moDir.query(a) for mo in mos: print(mo.dn) traceResponse += len(mos) assert traceResponse > 0 class Test_services_devicepackage(object): fakePackage = os.path.join(os.path.dirname(os.path.realpath(__file__)), fakeDevicePackageZip) realPackage = os.path.join(os.path.dirname(os.path.realpath(__file__)), realDevicePackageZip) def test_packagevalidate(self): """ Make sure that invalid device packages throw an exception when validation is enabled """ with pytest.raises(AttributeError): cobra.services.UploadPackage(self.fakePackage, validate=True) def test_packagedonotvalidate(self): """ Make sure that if validation is not enabled, no exception is thrown """ packageUpload = cobra.services.UploadPackage(self.fakePackage) assert packageUpload.devicePackagePath == self.fakePackage def test_uploadpackage(self, moDir): """ ensure that the device package upload returns a 200 """ packageUpload = cobra.services.UploadPackage(self.realPackage, validate=True) r = moDir.commit(packageUpload) assert r == [] def test_validateupload(self, moDir): """ make sure that the uploaded device package is found """ uni = cobra.model.pol.Uni('') infra = cobra.model.infra.Infra(uni) vnsQuery = cobra.mit.request.DnQuery(infra.dn) vnsQuery.propFilter = 'eq(vnsMDev.vendor,"CISCO")' vnsQuery.queryTarget = 'subtree' vnsQuery.classFilter = 'vnsMDev' packages = moDir.query(vnsQuery) assert len(packages) > 0 package = packages[0] assert package.vendor == 'CISCO' assert package.model == 'ASA' # for package in packages: # print '\n'.join(['%s:\t%s' % (k,getattr(package,k)) for k in package.meta.props.names]) # print package.dn

36.581281

99

0.606181

1,635

14,852

5.458104

0.217737

0.025101

0.025213

0.035298

0.424922

0.374048

0.360601

0.34424

0.315329

0.293366

0

0.004698

0.283396

14,852

405

100

36.671605

0.833787

0.140587

0

0.34717

0

0.071139

0.010545

0

0.139623

1

0.098113

false

0.060377

0.090566

0

0.233962

0.011321

0

null

0

null

0

1

0

1

1cd87eec694df1d23bb94dc59dabf36d48ef6f7d

445

py

Python

setup.py

ninezerozeronine/raytracing-one-weekend

22ca36dcec679cbd78a7711734ca22e01ef06ef2

[ "MIT" ]

null

setup.py

ninezerozeronine/raytracing-one-weekend

22ca36dcec679cbd78a7711734ca22e01ef06ef2

[ "MIT" ]

null

setup.py

ninezerozeronine/raytracing-one-weekend

22ca36dcec679cbd78a7711734ca22e01ef06ef2

[ "MIT" ]

null

from setuptools import setup, find_packages setup( name="raytracing-one-weekend", version="0.0.0", author="Andy Palmer", author_email="contactninezerozeronine@gmail.com", description="A raytracer achievable in a weekend.", url="https://github.com/ninezerozeronine/raytracing-one-weekend", install_requires=[ "Pillow", "numpy", ], packages=find_packages('src'), package_dir={'': 'src'}, )

26.176471

69

0.662921

49

445

5.918367

0.714286

0.082759

0.137931

0

0.008287

0.186517

445

16

70

27.8125

0.792818

0

0.408989

0.123596

0

1

0

true

0

0.066667

0

0.066667

0

null

0

null

0

1

0

1

1cdc6e1e4c787b21a5dbe8f394976972f434c199

3,025

py

Python

divsum_stats.py

fjruizruano/SatIntExt

90b39971ee6ea3d7cfa63fbb906df3df714a5012

[ "MIT" ]

null

divsum_stats.py

fjruizruano/SatIntExt

90b39971ee6ea3d7cfa63fbb906df3df714a5012

[ "MIT" ]

null

divsum_stats.py

fjruizruano/SatIntExt

90b39971ee6ea3d7cfa63fbb906df3df714a5012

[ "MIT" ]

null

#!/usr/bin/python import sys from subprocess import call print "divsum_count.py ListOfDivsumFiles\n" try: files = sys.argv[1] except: files = raw_input("Introduce RepeatMasker's list of Divsum files with library size (tab separated): ") files = open(files).readlines() to_join = [] header = "Coverage for each repeat class and divergence (Kimura)\n" results = {} for line in files: line = line.split("\t") file = line[0] size = int(line[1]) data = open(file).readlines() matrix_start = data.index(header) matrix = data[matrix_start+1:] li= [] names_line = matrix[0] info = names_line.split() for fam in info: li.append([fam]) info_len = len(li) for line in matrix[1:]: info = line.split() for i in range(0,info_len): li[i].append(info[i]) out = open(file+".counts","w") out.write("Sequence\tAbundance\n") stats = open(file+".stats","w") stats.write("Sequence\tDivergence\tTotalAbundance\tMaxAbundance\tMaxPeak\tRPS\tDIVPEAK\n") for el in li[1:]: numbers = el[1:] numbers = [int(x) for x in numbers] numbers_prop = [1.0*x/size for x in numbers] prop_dict = {} prop_li = [] for prop in range(0,len(numbers_prop)): prop_dict[prop] = numbers_prop[prop] prop_li.append(numbers_prop[prop]) prop_dict_sorted = sorted(prop_dict.items(), key=lambda x: x[1], reverse=True) total = sum(numbers_prop) top = prop_dict_sorted[0] top_div = top[0] top_ab = top[1] peak = [] if top_div >= 2: for div in range(top_div-2,top_div+3): peak.append(prop_dict[div]) else: for div in range(0,5): peak.append(prop_dict[div]) sum_peak = sum(peak) rps = sum_peak/total divpeak = top_div out.write(el[0]+"\t"+str(sum(numbers))+"\n") all_divs = [] for d in li[0][1:]: all_divs.append(int(d)+0.5) div_sumproduct = 0 for x,y in zip(all_divs,prop_li): div_sumproduct += x * y divergence = div_sumproduct/total data = "%s\t%s\t%s\t%s\t%s\t%s\t%s\n" % (el[0],str(divergence),str(total),str(top_ab),str(sum_peak),str(rps),str(divpeak)) stats.write(data) data2 = "%s\t%s\t%s\t%s\t%s\t%s\t%s\n" % (file, str(divergence),str(total),str(top_ab),str(sum_peak),str(rps),str(divpeak)) if el[0] in results: results[el[0]].append(data2) else: results[el[0]] = [data2] out.close() stats.close() to_join.append(file+".counts") out = open("results.txt", "w") for el in sorted(results): info = results[el] out.write("%s\tDivergence\tTotalAbundance\tMaxAbundance\tMaxPeak\tRPS\tDIVPEAK\n" % (el)) for i in info: out.write(i) out.write("\n\n\n") out.close() call("join_multiple_lists.py %s" % (" ".join(to_join)), shell=True)

27.752294

131

0.57686

451

3,025

3.762749

0.252772

0.014143

0.021214

0.023571

0.176783

0.152033

0.08132

0

0.015364

0.26843

3,025

108

132

28.009259

0.751469

0.005289

0

0.072289

0

0.024096

0.154588

0.080785

0

null

0

0.024096

null

0.012048

0

null

0

null

0

1

0

1

1ce550dcd34ad1e54a6bb3af57029219d257f4d1

742

py

Python

source/blog/migrations/0004_postcomments.py

JakubGutowski/PersonalBlog

96122b36486f7e874c013e50d939732a43db309f

[ "BSD-3-Clause" ]

null

source/blog/migrations/0004_postcomments.py

JakubGutowski/PersonalBlog

96122b36486f7e874c013e50d939732a43db309f

[ "BSD-3-Clause" ]

null

source/blog/migrations/0004_postcomments.py

JakubGutowski/PersonalBlog

96122b36486f7e874c013e50d939732a43db309f

[ "BSD-3-Clause" ]

null

# Generated by Django 2.0.5 on 2018-07-02 19:46 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('blog', '0003_blogpost_author'), ] operations = [ migrations.CreateModel( name='PostComments', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('nick', models.CharField(max_length=20)), ('comment', models.CharField(max_length=140)), ('post', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='blog.BlogPost')), ], ), ]

30.916667

115

0.58221

77

742

5.506494

0.675325

0.056604

0.066038

0.103774

0

0.045283

0.285714

742

23

116

32.26087

0.754717

0.060647

0

1

0

0.10119

0

1

0

false

0

0.117647

0

0.294118

0

null

0

1

0

null

0

1

1ce6c087a65ed77b98463ac3f530b83170cfd6d6

241

py

Python

submissions/aising2019/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

1

2021-05-10T01:16:28.000Z

submissions/aising2019/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

3

2021-05-11T06:14:15.000Z

2021-06-19T08:18:36.000Z

submissions/aising2019/a.py

m-star18/atcoder

08e475810516602fa088f87daf1eba590b4e07cc

[ "Unlicense" ]

null

import sys read = sys.stdin.buffer.read readline = sys.stdin.buffer.readline readlines = sys.stdin.buffer.readlines sys.setrecursionlimit(10 ** 7) n = int(readline()) h = int(readline()) w = int(readline()) print((n - h + 1) * (n - w + 1))

21.909091

38

0.676349

37

241

4.405405

0.432432

0.147239

0.257669

0

0.024272

0.145228

241

10

39

24.1

0.76699

0

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

null

0

1

1ce813d53ecf60bcfa1c5a10f665cbdcffd14f05

1,579

py

Python

config/cf.py

rbsdev/config-client

761f39cd8839daba10bf21b98ccdd44d33eaebe8

[ "Apache-2.0" ]

null

config/cf.py

rbsdev/config-client

761f39cd8839daba10bf21b98ccdd44d33eaebe8

[ "Apache-2.0" ]

null

config/cf.py

rbsdev/config-client

761f39cd8839daba10bf21b98ccdd44d33eaebe8

[ "Apache-2.0" ]

null

from typing import Any, Dict, KeysView import attr from config.auth import OAuth2 from config.cfenv import CFenv from config.spring import ConfigClient @attr.s(slots=True) class CF: cfenv = attr.ib( type=CFenv, factory=CFenv, validator=attr.validators.instance_of(CFenv), ) oauth2 = attr.ib(type=OAuth2, default=None) client = attr.ib(type=ConfigClient, default=None) def __attrs_post_init__(self) -> None: if not self.oauth2: self.oauth2 = OAuth2( access_token_uri=self.cfenv.configserver_access_token_uri(), client_id=self.cfenv.configserver_client_id(), client_secret=self.cfenv.configserver_client_secret(), ) if not self.client: self.client = ConfigClient( address=self.cfenv.configserver_uri(), app_name=self.cfenv.application_name, profile=self.cfenv.space_name.lower(), ) self.oauth2.configure() @property def vcap_services(self): return self.cfenv.vcap_services @property def vcap_application(self): return self.cfenv.vcap_application def get_config(self) -> None: header = {"Authorization": f"Bearer {self.oauth2.token}"} self.client.get_config(headers=header) @property def config(self) -> Dict: return self.client.config def get_attribute(self, value: str) -> Any: return self.client.get_attribute(value) def get_keys(self) -> KeysView: return self.client.get_keys()

28.709091

80

0.644712

189

1,579

5.216931

0.333333

0.073022

0.085193

0.054767

0.046653

0

0.006809

0.255858

1,579

54

81

29.240741

0.83234

0

0.071429

0

0.024699

0

1

0.166667

false

0

0.119048

0.5

0

null

0

null

0

1

0

1

1cea0e3fced4fc9fe2a48efd4c3e8de95165a2da

948

py

Python

src/git_portfolio/use_cases/config_repos.py

staticdev/github-portfolio

850461eed8160e046ee16664ac3dbc19e3ec0965

[ "MIT" ]

null

src/git_portfolio/use_cases/config_repos.py

staticdev/github-portfolio

850461eed8160e046ee16664ac3dbc19e3ec0965

[ "MIT" ]

null

src/git_portfolio/use_cases/config_repos.py

staticdev/github-portfolio

850461eed8160e046ee16664ac3dbc19e3ec0965

[ "MIT" ]

null

"""Config repositories use case.""" from __future__ import annotations import git_portfolio.config_manager as cm import git_portfolio.domain.gh_connection_settings as cs import git_portfolio.responses as res class ConfigReposUseCase: """Gitp config repositories use case.""" def __init__(self, config_manager: cm.ConfigManager) -> None: """Initializer.""" self.config_manager = config_manager def execute( self, github_config: cs.GhConnectionSettings, selected_repos: list[str] ) -> res.Response: """Configuration of git repositories.""" self.config_manager.config.github_access_token = github_config.access_token self.config_manager.config.github_hostname = github_config.hostname self.config_manager.config.github_selected_repos = selected_repos self.config_manager.save_config() return res.ResponseSuccess("gitp repositories successfully configured.")

37.92

83

0.74789

109

948

6.201835

0.431193

0.153846

0.150888

0.136095

0.128698

0

0.167722

948

24

84

39.5

0.856781

0.118143

0

0.051534

0

1

0.133333

false

0

0.266667

0

0.533333

0

null

0

null

0

1

0

1

1cea0f437c7a9f8ccbc1159b25612a99704a7170

943

py

Python

test/test_logic.py

mateuszkowalke/sudoku_game

800e33a6fe755b493d8e9c3c9a20204af5865148

[ "MIT" ]

null

test/test_logic.py

mateuszkowalke/sudoku_game

800e33a6fe755b493d8e9c3c9a20204af5865148

[ "MIT" ]

null

test/test_logic.py

mateuszkowalke/sudoku_game

800e33a6fe755b493d8e9c3c9a20204af5865148

[ "MIT" ]

null

import pytest from ..logic import Board, empty_board, example_board, solved_board class TestBoard: def test_create_board(self): board = Board(example_board) assert board.tiles == example_board def test_solve_board(self): board = Board(example_board) board.solve() assert board.tiles == solved_board def test_check_if_possible(self): board = Board(example_board) assert board.check_if_possible(0, 0, 4) == False assert board.check_if_possible(0, 0, 9) == True def test_check_solution(self): board = Board(solved_board) assert board.check_solution() def test_new_board(self): board = Board(empty_board) board.new_board(example_board) assert board.tiles == example_board def test_lock_tiles(self): board = Board(example_board) board.lock_tiles() assert board.check_if_tile_locked(0, 1)

27.735294

67

0.66702

124

943

4.782258

0.25

0.151771

0.172007

0.141653

0.450253

0.328836

0.175379

0

0.011268

0.247084

943

33

68

28.575758

0.823944

0

0.24

0

0.28

1

0.24

false

0

0.08

0

0.36

0

null

0

null

0

1

0

1

1cecb0baeee1d541b67de121aac28491961e0c43

2,234

py

Python

scripts/vcf_filter.py

bunop/cyvcf

f58860dd06b215b9d9ae80e2b46337fb6ab59139

[ "MIT" ]

46

2015-01-31T17:24:34.000Z

2021-01-15T01:29:07.000Z

scripts/vcf_filter.py

arq5x/cyvcf

f58860dd06b215b9d9ae80e2b46337fb6ab59139

[ "MIT" ]

11

2015-01-13T17:59:32.000Z

2016-09-23T21:50:00.000Z

scripts/vcf_filter.py

mandawilson/PyVCF

d23ab476237aced75635e543c061c1bf80a7c2a4

[ "MIT" ]

7

2015-02-10T09:12:00.000Z

2016-06-30T03:37:37.000Z

#!/usr/bin/env python import sys import argparse import pkg_resources import vcf from vcf.parser import _Filter parser = argparse.ArgumentParser(description='Filter a VCF file', formatter_class=argparse.RawDescriptionHelpFormatter, ) parser.add_argument('input', metavar='input', type=str, nargs=1, help='File to process (use - for STDIN)') parser.add_argument('filters', metavar='filter', type=str, nargs='+', help='Filters to use') parser.add_argument('--no-short-circuit', action='store_true', help='Do not stop filter processing on a site if a single filter fails.') parser.add_argument('--output', action='store', default=sys.stdout, help='Filename to output (default stdout)') parser.add_argument('--no-filtered', action='store_true', help='Remove failed sites') if __name__ == '__main__': # TODO: allow filter specification by short name # TODO: flag that writes filter output into INFO column # TODO: argument use implies filter use # TODO: parallelize # TODO: prevent plugins raising an exception from crashing the script # dynamically build the list of available filters filters = {} filter_help = '\n\navailable filters:' for p in pkg_resources.iter_entry_points('vcf.filters'): filt = p.load() filters[filt.name] = filt filt.customize_parser(parser) filter_help += '\n %s:\t%s' % (filt.name, filt.description) parser.description += filter_help # parse command line args args = parser.parse_args() inp = vcf.Reader(file(args.input[0])) # build filter chain chain = [] for name in args.filters: f = filters[name](args) chain.append(f) inp.filters[f.filter_name()] = _Filter(f.filter_name(), f.description) oup = vcf.Writer(args.output, inp) # apply filters short_circuit = not args.no_short_circuit for record in inp: for filt in chain: result = filt(record) if result: record.add_filter(filt.filter_name()) if short_circuit: break if (not args.no_filtered) or (record.FILTER == '.'): oup.write_record(record)

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Python

features/cpp/simple/test.py

xbabka01/retdec-regression-tests

1ac40cca5165740364e6f7fb72b20820eac9bc7c

[ "MIT" ]

8

2017-12-14T14:25:17.000Z

2019-03-09T03:29:12.000Z

features/cpp/simple/test.py

xbabka01/retdec-regression-tests

1ac40cca5165740364e6f7fb72b20820eac9bc7c

[ "MIT" ]

10

2019-06-14T09:12:55.000Z

2021-10-01T12:15:43.000Z

features/cpp/simple/test.py

xbabka01/retdec-regression-tests

1ac40cca5165740364e6f7fb72b20820eac9bc7c

[ "MIT" ]

8

2019-05-10T14:59:48.000Z

2022-03-07T16:34:23.000Z

from regression_tests import * class TestBase(Test): def test_for_main(self): assert self.out_c.has_funcs('main') or self.out_c.has_funcs('entry_point') def test_check_main_is_not_ctor_or_dtor(self): for c in self.out_config.classes: assert "main" not in c.constructors assert "main" not in c.destructors class TestAll(TestBase): settings = TestSettings( input=files_in_dir('inputs/symbols'), args='-k' ) def test_for_string(self): # printf() is used -> '\n' at the end of the string # puts() is used -> no '\n' at the end of the string assert self.out_c.has_string_literal_matching( r'ClassA::ClassA(\\n)?' ) assert self.out_c.has_string_literal_matching( r'%i %i(\\n)?' ) assert self.out_c.has_string_literal_matching( r'~ClassA::ClassA(\\n)?' ) def test_for_vtables(self): assert self.out_config.vtable_count == 1 vtable = self.out_config.vtables[0] assert vtable.item_count == 1 assert "doSomething" in vtable.items[0].target_name def test_for_classes(self): assert self.out_config.classes_count == 1 c = self.out_config.classes[0] assert len(c.constructors) == 2 assert len(c.destructors) == 2 assert len(c.virtualMethods) == 1 class TestAllStripped(TestBase): settings = TestSettings( input=files_in_dir('inputs/stripped'), args='-k' ) def test_for_vtables(self): assert self.out_config.vtable_count == 1 vtable = self.out_config.vtables[0] assert vtable.item_count == 1 assert vtable.items[0].target_name # there is some (!empty) function name def test_for_classes(self): assert self.out_config.classes_count == 1 c = self.out_config.classes[0] assert len(c.virtualMethods) == 1 assert len(c.constructors) == 2 assert len(c.destructors) == 2 class TestMsvc(TestBase): settings = TestSettings( input='inputs/msvc/simple-msvc-release.ex', args='-k' ) settings_d = TestSettings( input='inputs/msvc/simple-msvc-debug.ex', args='-k' ) def test_for_string(self): assert self.out_c.has_string_literal( 'ClassA::ClassA\\n' ) assert self.out_c.has_string_literal( '~ClassA::ClassA\\n' ) assert self.out_c.has_string_literal( '%i %i\\n' ) def test_for_vtables(self): assert self.out_config.vtable_count == 2 vtable1 = self.out_config.vtables[0] assert vtable1.item_count == 1 vtable2 = self.out_config.vtables[0] assert vtable2.item_count == 1

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