xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

63cb9cfcd1d1bed86874e36912a9244d3c5563c5

443

py

Python

hold-tests/test_role_ans_dev.py

pahoughton/ansible-pahoughton

dba7c014e43fa232bea05b84f96d5b9115800089

[ "CC-BY-3.0" ]

null

hold-tests/test_role_ans_dev.py

pahoughton/ansible-pahoughton

dba7c014e43fa232bea05b84f96d5b9115800089

[ "CC-BY-3.0" ]

null

hold-tests/test_role_ans_dev.py

pahoughton/ansible-pahoughton

dba7c014e43fa232bea05b84f96d5b9115800089

[ "CC-BY-3.0" ]

null

#!/usr/bin/env python3 # 2018-10-13 (cc) <paul4hough@gmail.com> ''' pips: - testinfra - molecule - tox ''' class test_role_ans_dev (object): ''' test_role_ans_dev useless class ''' assert packages.installed( yaml.array( pkgs[common], pkgs[os][common], pkgs[os][major], ) ) assert pips.installed() assert validate.python("https://github.com/python/stuff")

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1

63cd37f1d19aa602021ac5d7d2664ac5f4cbcbd3

1,296

py

Python

images/migrations/0001_initial.py

Hoofeycheng/Bookmarks

f2721633cd39393f0c92993579071679bb975ab0

[ "MIT" ]

null

images/migrations/0001_initial.py

Hoofeycheng/Bookmarks

f2721633cd39393f0c92993579071679bb975ab0

[ "MIT" ]

null

images/migrations/0001_initial.py

Hoofeycheng/Bookmarks

f2721633cd39393f0c92993579071679bb975ab0

[ "MIT" ]

null

# Generated by Django 2.1.4 on 2019-01-21 03:56 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Image', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=200)), ('slug', models.CharField(blank=True, max_length=200)), ('image', models.ImageField(upload_to='image/%Y')), ('url', models.URLField()), ('description', models.TextField(blank=True)), ('created', models.DateField(auto_now_add=True, db_index=True)), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='images_created', to=settings.AUTH_USER_MODEL)), ('user_like', models.ManyToManyField(blank=True, related_name='image_liked', to=settings.AUTH_USER_MODEL)), ], options={ 'db_table': 'images', }, ), ]

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null

0

1

63cd6a4844d309d64fcae3b172caa3687fb25c61

951

py

Python

src/python/detectors/os_command_injection/os_command_injection.py

martinschaef/amazon-codeguru-reviewer-python-detectors

7452471b7ac5e1f2e1a0bfbd0f615d98f160e0e4

[ "Apache-2.0" ]

18

2022-01-27T22:50:22.000Z

2022-02-15T17:41:24.000Z

src/python/detectors/os_command_injection/os_command_injection.py

martinschaef/amazon-codeguru-reviewer-python-detectors

7452471b7ac5e1f2e1a0bfbd0f615d98f160e0e4

[ "Apache-2.0" ]

1

2022-01-31T21:36:18.000Z

2022-02-22T17:09:54.000Z

src/python/detectors/os_command_injection/os_command_injection.py

martinschaef/amazon-codeguru-reviewer-python-detectors

7452471b7ac5e1f2e1a0bfbd0f615d98f160e0e4

[ "Apache-2.0" ]

7

2022-02-10T21:50:50.000Z

2022-03-28T14:21:10.000Z

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 # {fact rule=os-command-injection@v1.0 defects=1} def exec_command_noncompliant(): from paramiko import client from flask import request address = request.args.get("address") cmd = "ping -c 1 %s" % address client = client.SSHClient() client.connect("ssh.samplehost.com") # Noncompliant: address argument is not sanitized. client.exec_command(cmd) # {/fact} # {fact rule=os-command-injection@v1.0 defects=0} def exec_command_compliant(): from paramiko import client from flask import request address = request.args.get("address") # Compliant: address argument is sanitized (shell-escaped). address = shlex.quote(request.args.get("address")) cmd = "ping -c 1 %s" % address client = client.SSHClient() client.connect("ssh.samplehost.com") client.exec_command(cmd) # {/fact}

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null

0

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null

0

1

63cdddd1832970e9972b2c05b624ca631cca30ea

922

py

Python

src/Dao/Parts.py

asarfara/PartCost

99b7485ad811d41ca86a61b922faf51facdabcd3

[ "MIT" ]

null

src/Dao/Parts.py

asarfara/PartCost

99b7485ad811d41ca86a61b922faf51facdabcd3

[ "MIT" ]

null

src/Dao/Parts.py

asarfara/PartCost

99b7485ad811d41ca86a61b922faf51facdabcd3

[ "MIT" ]

null

import logging import json from typing import List from src.Entity.Part import Part from datetime import date from sqlite3 import Connection class Parts: def __init__(self, file_name: str, logger: logging, connection: Connection): self.file_name = file_name self.logger = logger self.connection = connection def insert_parts(self, parts: List[Part]): """Insert collection of parts into the database. Args: parts (List[Part]): Collection of parts. """ cursor = self.connection.cursor() for part in parts: self.logger.debug("Inserting into price_parts {0}".format(json.dumps(part.__dict__))) cursor.execute('INSERT INTO parts_price (name, price, supplier, type, date) VALUES (?,?,?,?,?)', [part.name, part.price, part.supplier, part.type, date.today()]) self.connection.commit() return None

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0.333333

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0.555556

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null

0

null

0

1

0

1

63d54e098e0531437161c2fb674cb796cbee3e48

4,783

py

Python

check_ec2_events.py

chartbeat/check_ec2_events

3c72752dcb2908ec8c7c4eaf7e5788c6f88ec5aa

[ "Apache-2.0" ]

2

2015-11-05T11:38:09.000Z

2019-04-21T12:22:30.000Z

check_ec2_events.py

chartbeat/check_ec2_events

3c72752dcb2908ec8c7c4eaf7e5788c6f88ec5aa

[ "Apache-2.0" ]

null

check_ec2_events.py

chartbeat/check_ec2_events

3c72752dcb2908ec8c7c4eaf7e5788c6f88ec5aa

[ "Apache-2.0" ]

null

#!/usr/bin/env python # # Author: Justin Lintz # Copyright 2013 Chartbeat # http://www.chartbeat.com # # Nagios check to alert on any retiring instances or # instances that need rebooting # import getopt import sys import re from datetime import datetime from datetime import timedelta from boto.ec2 import connect_to_region from boto.exception import EC2ResponseError # Setup IAM User with read-only EC2 access KEY_ID = "" ACCESS_KEY = "" REGION = "us-east-1" OK = 0 WARNING = 1 CRITICAL = 2 UNKNOWN = 3 def get_instances(instance_ids): """ Return an Instance objects for the given instance ids @param instance_ids: Instance ids (list) @return: Instance objects (dict) """ instances = dict() conn = connect_to_region(REGION, aws_access_key_id=KEY_ID, aws_secret_access_key=ACCESS_KEY) try: reservations = conn.get_all_instances(instance_ids) except EC2ResponseError, ex: print 'Got exception when calling EC2 for instances (%s): %s' % \ (", ".join(instance_ids), ex.error_message) return instances for r in reservations: if len(r.instances) and r.instances[0].id in instance_ids: instances[r.instances[0].id] = r.instances[0].tags["Name"] return instances class AmazonEventCheck(object): """ Nagios check for the Amazon events. Will warn/error if any pending events based on time till event occurs """ def __init__(self): pass def _get_instances_pending_events(self): """ Get list of instances that have pending events. @return: List(Instance, String , Datetime), List of (Instance, instance Event, Scheduled Date) for hosts with pending events """ conn = connect_to_region(REGION, aws_access_key_id=KEY_ID, aws_secret_access_key=ACCESS_KEY) stats = conn.get_all_instance_status() next_token = stats.next_token while next_token != None: next_stats = conn.get_all_instance_status(next_token=next_token) stats.extend(next_stats) next_token = next_stats.next_token ret = [] for stat in stats: if stat.events: for event in stat.events: if re.match('^\[Completed\]', event.description): continue ret.append([stat.id, event.code, event.not_before]) if len(ret) > 0: instances = get_instances([stat[0] for stat in ret]) for stat in ret: stat.insert(1, instances[stat[0]]) return ret def check(self, critical_threshold): """ Check pending instance events, alert if event time is less than critical_threshold Warn otherwise @param critical_threshold: int, number of days before an event that nagios should alert """ events = self._get_instances_pending_events() if not events: print 'OK: no pending events' return OK critical_events = [] warning_events = [] for event in events: event_time = datetime.strptime(event[3], '%Y-%m-%dT%H:%M:%S.000Z') # Are we close enough to the instance event that we should alert? if datetime.utcnow() > (event_time - timedelta(days=critical_threshold)): critical_events.append(event) else: warning_events.append(event) if critical_events: print 'CRITICAL: instances with events in %d days - %s' % (critical_threshold, ", ".join(["%s(%s)" % (event[0], event[1]) for event in critical_events])) return CRITICAL print 'WARNING: instances with scheduled events %s' % (", ".join(["%s(%s)" % (event[0], event[1]) for event in warning_events])) return WARNING def usage(): print >> sys.stderr, 'Usage: %s [-h|--help] [-A <aws_access_key_id>] [-S <aws_secret_access_key>] [-R <region>] [-c <day>]' % sys.argv[0] def main(): try: opts, args = getopt.getopt(sys.argv[1:], "hA:S:R:c:", ["help"]) except getopt.GetoptError: usage() return UNKNOWN global KEY_ID, ACCESS_KEY, REGION critical_threshold = 2 for o, a in opts: if o in ("-h", "--help"): usage() return UNKNOWN if o in ("-A"): KEY_ID = a if o in ("-S"): ACCESS_KEY = a if o in ("-R"): REGION = a if o in ("-c"): critical_threshold = int(a) if KEY_ID == "" or ACCESS_KEY == "": usage() return UNKNOWN eventcheck = AmazonEventCheck() return eventcheck.check(critical_threshold) if __name__ == '__main__': sys.exit(main())

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null

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null

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1

0

1

891d4ed726e77fd986edee372d297804eaad447d

385

py

Python

protera_stability/engine/__init__.py

stepp1/protera-stability

62f70af00b9475a0b0aeba39fa6ae57f0bb25b34

[ "MIT" ]

1

2021-11-05T02:14:31.000Z

protera_stability/engine/__init__.py

stepp1/protera-stability

62f70af00b9475a0b0aeba39fa6ae57f0bb25b34

[ "MIT" ]

null

protera_stability/engine/__init__.py

stepp1/protera-stability

62f70af00b9475a0b0aeba39fa6ae57f0bb25b34

[ "MIT" ]

null

from protera_stability.engine.default import get_cfg, setup_train, DefaultTrainer from protera_stability.engine.lightning_train import ( default_cbs, DataModule, LitProteins, TrainingPl, ) __all__ = [ "DataModule", "DefaultTrainer", "LitProteins", "TrainingPl", "default_cbs", "get_cfg", "setup_train", ] assert __all__ == sorted(__all__)

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null

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null

0

1

89287107bf8b41baf6a2e18560e187efeb94ad6b

574

py

Python

activities/migrations/0003_alter_currentactivitie_importance_level.py

CiganOliviu/MyWorkflow

85951c2e8ebdb3e970fcc0b3e24bd319360b852a

[ "Apache-2.0" ]

null

activities/migrations/0003_alter_currentactivitie_importance_level.py

CiganOliviu/MyWorkflow

85951c2e8ebdb3e970fcc0b3e24bd319360b852a

[ "Apache-2.0" ]

null

activities/migrations/0003_alter_currentactivitie_importance_level.py

CiganOliviu/MyWorkflow

85951c2e8ebdb3e970fcc0b3e24bd319360b852a

[ "Apache-2.0" ]

null

# Generated by Django 3.2.5 on 2021-07-04 19:36 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('activities', '0002_rename_currentactivity_currentactivitie'), ] operations = [ migrations.AlterField( model_name='currentactivitie', name='importance_level', field=models.CharField(choices=[('Optional', 'Optional'), ('Important', 'Important'), ('Very important', 'Very important'), ('Critical', 'Critical')], default='None', max_length=25), ), ]

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null

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null

0

1

892ea50cc3da67caa05d44561bab96944c809088

2,465

py

Python

mfctracker/management/commands/syncusers.py

kevans91/mfctracker

c86f1538229df126081331edef3bfd19c9ef1345

[ "BSD-2-Clause" ]

3

2016-10-19T05:01:31.000Z

2019-06-06T18:20:11.000Z

mfctracker/management/commands/syncusers.py

kevans91/mfctracker

c86f1538229df126081331edef3bfd19c9ef1345

[ "BSD-2-Clause" ]

3

2017-11-28T17:31:58.000Z

2021-04-12T02:37:27.000Z

mfctracker/management/commands/syncusers.py

kevans91/mfctracker

c86f1538229df126081331edef3bfd19c9ef1345

[ "BSD-2-Clause" ]

1

2020-06-26T14:05:53.000Z

# Copyright (c) 2016-2019 Oleksandr Tymoshenko <gonzo@bluezbox.com> # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # 1. Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS # OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) # HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF # SUCH DAMAGE. from django.conf import settings from django.contrib.auth.models import User from django.core.management.base import BaseCommand, CommandError from django.utils.crypto import get_random_string from mfctracker.models import Commit, UserProfile class Command(BaseCommand): help = 'Create users for every known committer' def handle(self, *args, **options): committers = set(Commit.objects.values_list('author', flat=True).distinct()) for committer in committers: try: user = User.objects.get(username=committer) if user.profile is None: profile = UserProfile.objects.create(share_token=get_random_string(length=8), user=user) profile.save() except User.DoesNotExist: email = '{}@{}'.format(committer, settings.SVN_EMAIL_DOMAIN) password = get_random_string(length=32) self.stdout.write('User does not exist, adding: {}'.format(committer, password)) User.objects.create_user(committer, email, password)

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2,465

46

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0.4

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null

0

null

0

1

0

1

892ff412cb0abfd15e5fd8375b604f4b8bd19d90

399

py

Python

Exercises/015.py

GuilhermeRds1921/Python3-Guanabara

24cd85b076e1074a5602e54c420bcc8e70cc1854

[ "MIT" ]

null

Exercises/015.py

GuilhermeRds1921/Python3-Guanabara

24cd85b076e1074a5602e54c420bcc8e70cc1854

[ "MIT" ]

null

Exercises/015.py

GuilhermeRds1921/Python3-Guanabara

24cd85b076e1074a5602e54c420bcc8e70cc1854

[ "MIT" ]

null

# Escreva um programa que pergunte a quantidade de Km # percorridos por um carro alugado e a quantidade de dias pelos # quais ele foi alugado. Calcule o preço a pagar, sabendo que o carro # custa R$60 por dia e R$0.15 por Km rodado. km = float(input("Quantos km percorreu?: ")) dia = int(input("Quantos dias ele foi alugado?: ")) print("O valor a ser pago é: R${:.2f}".format(km * 0.15 + dia * 60))

49.875

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null

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1

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null

0

1

893019fb8b63370b0487a73ea074042709b31d91

3,241

py

Python

utils/make_package.py

j123123/llilc

9d6a522deb6b0769e449f27a087a9d3a7ab2a255

[ "MIT" ]

1,712

2015-04-13T22:16:59.000Z

2022-03-17T18:44:42.000Z

utils/make_package.py

j123123/llilc

9d6a522deb6b0769e449f27a087a9d3a7ab2a255

[ "MIT" ]

770

2015-04-13T22:10:20.000Z

2022-03-15T01:30:06.000Z

utils/make_package.py

j123123/llilc

9d6a522deb6b0769e449f27a087a9d3a7ab2a255

[ "MIT" ]

206

2015-04-13T22:17:19.000Z

2022-02-19T12:30:19.000Z

#!/usr/bin/env python import sys import argparse import os import subprocess import platform import io import string try: # For Python >= 3.0 from urllib.request import urlopen except ImportError: # For Python < 3.0 from urllib2 import urlopen import shutil import stat def run(args): nugetFolder = os.path.join(args.target, ".nuget") print("\nEnsuring folder: %s" % nugetFolder ) if not os.path.exists(nugetFolder): os.makedirs(nugetFolder) nugetExe = os.path.join(nugetFolder, "nuget.exe") if not os.path.exists(nugetExe): nugetOrg = "http://nuget.org/nuget.exe" print("Downloading... %s" % nugetOrg ) response = urlopen(nugetOrg) output = open(nugetExe,'wb') output.write(response.read()) output.close() # Ensure it's executable st = os.stat(nugetExe) os.chmod(nugetExe, st.st_mode | stat.S_IEXEC) if (sys.platform != "win32"): # shutil.which can be used for python 3.3 or later, instead. for mono in ["/usr/bin/mono", "/usr/local/bin/mono"]: if os.path.exists(mono): monopath = mono if not monopath: raise "mono is required to run nuget.exe" nugetExe = monopath + " " + nugetExe nugetSpec = os.path.join(nugetFolder, os.path.basename(args.nuspec)) if args.nuspec != nugetSpec: print("\nCopying " + args.nuspec + " to " + nugetSpec) shutil.copyfile(args.nuspec, nugetSpec) if args.json != None: nugetJson = os.path.join(nugetFolder, os.path.basename(args.json)) if args.json != nugetJson: print("\nCopying " + args.json + " to " + nugetJson) shutil.copyfile(args.json, nugetJson) nugetCommand = nugetExe + " pack " + nugetSpec \ + " -NoPackageAnalysis -NoDefaultExcludes" \ " -OutputDirectory %s" % nugetFolder ret = os.system(nugetCommand) return ret def main(argv): parser = argparse.ArgumentParser(description= "Download nuget and run it to create a package using the given nuspec. " \ "Example: make_package.py " \ "--target f:\llilc-rel\\bin\Release " \ "--nuspec f:\llilc\lib\ObjWriter\.nuget\Microsoft.Dotnet.ObjectWriter.nuspec", formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument("--target", metavar="PATH", default=None, help="path to a target directory that contains files that will " \ "packaged") parser.add_argument("--nuspec", metavar="PATH", default=None, help="path to a nuspec file. This file is assumed to be under " \ "a child directory (.nuget) of the target by convetion") parser.add_argument("--json", metavar="PATH", default=None, help="path to a json file. This file is used to create " \ "a redirection package") args,unknown = parser.parse_known_args(argv) if unknown: print("Unknown argument(s): ", ", ".join(unknown)) return -3 returncode=0 if args.target == None: print("--target is not specified.") return -3 if args.nuspec == None: print("--nuspec is not specified") return -3 returncode = run(args) return returncode if __name__ == "__main__": returncode = main(sys.argv[1:]) sys.exit(returncode)

30.575472

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5.1

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30.866667

0.824464

0.042271

0

0.071429

0

0.261136

0.029374

0

null

0

0.142857

null

0.083333

0

null

0

null

0

1

0

1

8933583a90eda099c254b38c7fb555a1d3d870bb

4,622

py

Python

tests/unit_tests/test_tethys_services/test_admin.py

msouff/tethys

45795d1e6561d5db8fddd838f4d1ae1d91dbb837

[ "BSD-2-Clause" ]

79

2015-10-05T13:13:28.000Z

2022-02-01T12:30:33.000Z

tests/unit_tests/test_tethys_services/test_admin.py

msouff/tethys

45795d1e6561d5db8fddd838f4d1ae1d91dbb837

[ "BSD-2-Clause" ]

542

2015-08-12T22:11:32.000Z

2022-03-29T22:18:08.000Z

tests/unit_tests/test_tethys_services/test_admin.py

msouff/tethys

45795d1e6561d5db8fddd838f4d1ae1d91dbb837

[ "BSD-2-Clause" ]

71

2016-01-16T01:03:41.000Z

2022-03-31T17:55:54.000Z

import unittest from unittest import mock from django.utils.translation import ugettext_lazy as _ from tethys_services.models import DatasetService, SpatialDatasetService, WebProcessingService, PersistentStoreService from tethys_services.admin import DatasetServiceForm, SpatialDatasetServiceForm, WebProcessingServiceForm,\ PersistentStoreServiceForm, DatasetServiceAdmin, SpatialDatasetServiceAdmin, WebProcessingServiceAdmin,\ PersistentStoreServiceAdmin class TestTethysServicesAdmin(unittest.TestCase): def setUp(self): self.expected_labels = { 'public_endpoint': _('Public Endpoint') } def tearDown(self): pass def test_DatasetServiceForm(self): mock_args = mock.MagicMock() expected_fields = ('name', 'engine', 'endpoint', 'public_endpoint', 'apikey', 'username', 'password') ret = DatasetServiceForm(mock_args) self.assertEqual(DatasetService, ret.Meta.model) self.assertEqual(expected_fields, ret.Meta.fields) self.assertTrue('password' in ret.Meta.widgets) self.assertEqual(self.expected_labels, ret.Meta.labels) def test_SpatialDatasetServiceForm(self): mock_args = mock.MagicMock() expected_fields = ('name', 'engine', 'endpoint', 'public_endpoint', 'apikey', 'username', 'password') ret = SpatialDatasetServiceForm(mock_args) self.assertEqual(SpatialDatasetService, ret.Meta.model) self.assertEqual(expected_fields, ret.Meta.fields) self.assertTrue('password' in ret.Meta.widgets) self.assertEqual(self.expected_labels, ret.Meta.labels) def test_WebProcessingServiceForm(self): mock_args = mock.MagicMock() expected_fields = ('name', 'endpoint', 'public_endpoint', 'username', 'password') ret = WebProcessingServiceForm(mock_args) self.assertEqual(WebProcessingService, ret.Meta.model) self.assertEqual(expected_fields, ret.Meta.fields) self.assertTrue('password' in ret.Meta.widgets) self.assertEqual(self.expected_labels, ret.Meta.labels) def test_PersistentStoreServiceForm(self): mock_args = mock.MagicMock() expected_fields = ('name', 'engine', 'host', 'port', 'username', 'password') ret = PersistentStoreServiceForm(mock_args) self.assertEqual(PersistentStoreService, ret.Meta.model) self.assertEqual(expected_fields, ret.Meta.fields) self.assertTrue('password' in ret.Meta.widgets) def test_DatasetServiceAdmin(self): mock_args = mock.MagicMock() expected_fields = ('name', 'engine', 'endpoint', 'public_endpoint', 'apikey', 'username', 'password') ret = DatasetServiceAdmin(mock_args, mock_args) self.assertEqual(DatasetServiceForm, ret.form) self.assertEqual(expected_fields, ret.fields) def test_SpatialDatasetServiceAdmin(self): mock_args = mock.MagicMock() expected_fields = ('name', 'engine', 'endpoint', 'public_endpoint', 'apikey', 'username', 'password') ret = SpatialDatasetServiceAdmin(mock_args, mock_args) self.assertEqual(SpatialDatasetServiceForm, ret.form) self.assertEqual(expected_fields, ret.fields) def test_WebProcessingServiceAdmin(self): mock_args = mock.MagicMock() expected_fields = ('name', 'endpoint', 'public_endpoint', 'username', 'password') ret = WebProcessingServiceAdmin(mock_args, mock_args) self.assertEqual(WebProcessingServiceForm, ret.form) self.assertEqual(expected_fields, ret.fields) def test_PersistentStoreServiceAdmin(self): mock_args = mock.MagicMock() expected_fields = ('name', 'engine', 'host', 'port', 'username', 'password') ret = PersistentStoreServiceAdmin(mock_args, mock_args) self.assertEqual(PersistentStoreServiceForm, ret.form) self.assertEqual(expected_fields, ret.fields) def test_admin_site_register(self): from django.contrib import admin registry = admin.site._registry self.assertIn(DatasetService, registry) self.assertIsInstance(registry[DatasetService], DatasetServiceAdmin) self.assertIn(SpatialDatasetService, registry) self.assertIsInstance(registry[SpatialDatasetService], SpatialDatasetServiceAdmin) self.assertIn(WebProcessingService, registry) self.assertIsInstance(registry[WebProcessingService], WebProcessingServiceAdmin) self.assertIn(PersistentStoreService, registry) self.assertIsInstance(registry[PersistentStoreService], PersistentStoreServiceAdmin)

43.603774

118

0.720251

429

4,622

7.610723

0.146853

0.049005

0.044104

0.039204

0.478714

0.440735

0

0.177845

4,622

105

119

44.019048

0.859211

0

0.3875

0

0.094331

0

0.3875

1

0.1375

false

0.1625

0.075

0

0.225

0

null

0

null

0

1

0

1

8933611dccd35f84e21b95c6ea6cb9c0aef59e5b

633

py

Python

Codefights/arcade/intro/level-6/25.Array-Replace/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

7

2017-09-20T16:40:39.000Z

2021-08-31T18:15:08.000Z

Codefights/arcade/intro/level-6/25.Array-Replace/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

null

Codefights/arcade/intro/level-6/25.Array-Replace/Python/test.py

RevansChen/online-judge

ad1b07fee7bd3c49418becccda904e17505f3018

[ "MIT" ]

null

# Python3 from solution1 import arrayReplace as f qa = [ ([1, 2, 1], 1, 3, [3, 2, 3]), ([1, 2, 3, 4, 5], 3, 0, [1, 2, 0, 4, 5]), ([1, 1, 1], 1, 10, [10, 10, 10]), ([1, 2, 1, 2, 1], 2, 1, [1, 1, 1, 1, 1]), ([1, 2, 1, 2, 1], 2, 2, [1, 2, 1, 2, 1]), ([3, 1], 3, 9, [9, 1]) ] for *q, a in qa: for i, e in enumerate(q): print('input{0}: {1}'.format(i + 1, e)) ans = f(*q) if ans != a: print(' [failed]') print(' output:', ans) print(' expected:', a) else: print(' [ok]') print(' output:', ans) print()

19.78125

47

0.366509

106

633

2.188679

0.311321

0.094828

0.103448

0.086207

0.103448

0

0.171795

0.383886

633

31

48

20.419355

0.423077

0.011058

0

0.074074

0

0.102564

0

1

0

false

0

0.037037

0

0.037037

0.259259

0

null

0

1

0

null

0

1

89386b743e51694854f66d61583124c986f918df

349

py

Python

001-099/38/38.py

lunixbochs/project-euler

aa974c5ae68547309f33adbb4e633fe040964855

[ "MIT" ]

6

2015-07-21T20:45:08.000Z

2021-03-13T14:07:48.000Z

001-099/38/38.py

lunixbochs/project-euler

aa974c5ae68547309f33adbb4e633fe040964855

[ "MIT" ]

null

001-099/38/38.py

lunixbochs/project-euler

aa974c5ae68547309f33adbb4e633fe040964855

[ "MIT" ]

2

2017-10-28T09:52:08.000Z

2019-04-11T00:55:36.000Z

ref = set('123456789') def pans(n): r = str(n) i = 1 while True: i += 1 r += str(i * n) if len(r) > 9: break if len(r) == 9 and set(r) == ref: yield i, r m = 0 for i in xrange(2, 1000000000): for z, n in pans(i): if n > m: m = n print z, i, n

17.45

41

0.383954

58

349

2.310345

0.465517

0.059701

0.089552

0.104478

0

0.137363

0.47851

349

19

42

18.368421

0.598901

0

0.025788

0

null

0

null

0.058824

0

null

0

null

0

1

0

1

89414998e5a7ff84331d610b6b9cc51dadd75709

6,364

py

Python

TransfertFichier.py

Fabien034/TimeLaps

a9fcbdfd6551cf8c12961adeef15dfdfaad8fb3c

[ "CC0-1.0" ]

null

TransfertFichier.py

Fabien034/TimeLaps

a9fcbdfd6551cf8c12961adeef15dfdfaad8fb3c

[ "CC0-1.0" ]

null

TransfertFichier.py

Fabien034/TimeLaps

a9fcbdfd6551cf8c12961adeef15dfdfaad8fb3c

[ "CC0-1.0" ]

null

# !/usr/bin/env python # -*- coding: utf-8 -*- # Copyright: Fabien Rosso # Version 0.1.1 - 19 Avril 2016 # Version 0.1.2 - 29 Avril 2016 ## Debug VisualStudio # import ptvsd # ptvsd.enable_attach(None) from __future__ import unicode_literals from __future__ import print_function import os import sys import subprocess import pickle import socket import threading from datetime import datetime from time import sleep from wrappers import * from fonctions import * import logging from logging.handlers import RotatingFileHandler os.system("clear") class ThreadReception(threading.Thread): """objet thread gerant la reception des messages""" def __init__(self, conn): threading.Thread.__init__(self) self.connexion = conn # ref. du socket de connexion def run(self): while True: try: # en attente de reception message_recu = self.connexion.recv(4096) message_recu = message_recu.encode(encoding='UTF-8') print(message_recu) except: # fin du thread break print("ThreadReception arrete. Connexion interrompue.") self.connexion.close() def main(): # création de l'objet logger qui va nous servir à écrire dans les logs logger = logging.getLogger() # on met le niveau du logger à DEBUG, comme ça il écrit tout logger.setLevel(logging.DEBUG) # création d'un formateur qui va ajouter le temps, le niveau # de chaque message quand on écrira un message dans le log formatter = logging.Formatter('%(asctime)s :: %(levelname)s :: %(message)s') # création d'un handler qui va rediriger une écriture du log vers # un fichier en mode 'append', avec 1 backup et une taille max de 1Mo file_handler = RotatingFileHandler('activity_transfert_fichier.log', 'a', 1000000, 1) # on lui met le niveau sur DEBUG, on lui dit qu'il doit utiliser le formateur # créé précédement et on ajoute ce handler au logger file_handler.setLevel(logging.DEBUG) file_handler.setFormatter(formatter) logger.addHandler(file_handler) # création d'un second handler qui va rediriger chaque écriture de log # sur la console steam_handler = logging.StreamHandler() steam_handler.setLevel(logging.DEBUG) logger.addHandler(steam_handler) raw_input("Appuyer sur une touche pour demarrer l'envoi des photos") os.system("clear") #Lecture et recuperation des variables dans le fichier configServer with open("configServer", "rb") as fichierConfig: configRead = pickle.Unpickler(fichierConfig) HOST = configRead.load() PORT = int(configRead.load()) USER = configRead.load() PORTSSH = int(configRead.load()) HOMESERVER = os.path.join("/home",USER,"Images") # Création du dossier attente de tranfert WAITPATH = os.path.join(os.path.expanduser("~"),"Pictures","Attente") if not os.path.exists(WAITPATH): os.makedirs(WAITPATH, mode=0o777) # Etablissement de la connexion avec le serveur # protocoles IPv4 et TCP mySocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) mySocket.setsockopt(socket.SOL_SOCKET,socket.SO_REUSEADDR,1) logger.info(" >> Connexion en cours avec " + HOST + "...") try: mySocket.connect((HOST, PORT)) except socket.error: logger.warning(" >> le serveur '" + host + "' est introuvable.") sys.exit() # Dialogue avec le serveur : threads pour gerer la reception des messages th_Reception = ThreadReception(mySocket) th_Reception.start() while True: listFile = ListDirectory(WAITPATH) if len(listFile) > 0: file = Photo(listFile[0]) # Création de la class photo octets = os.path.getsize(file.pathFile) / 1024 # Nombre d'octets de la photo logger.info(" >> Transfert : '" + file.nameFile + "' [" + str(octets) + " Ko]") # on crée le chemin du fichier pour le serveur suivant la date de création datePath = time.strftime("%Y/%y.%m.%d/",file.createDate) pathDestination = os.path.join(HOMESERVER,datePath) fileDestination = os.path.join(pathDestination,file.nameFile) # on demande au serveur de créer le chemin si il n'eiste pas message_emis = b"makedirs {0}".format(pathDestination) try: # emission mySocket.send(message_emis.decode(encoding='UTF-8')) time.sleep(0.1) except: break # on indique au serveur que l'on va lui enoyer un fichier de x octets message_emis = b"EnvoiPhoto {0} {1}".format(file.nameFile,octets) try: # emission mySocket.send(message_emis.decode(encoding='UTF-8')) time.sleep(0.1) except: break logger.info(" >> Envoi de la photo '{0}'".format(file.nameFile)) # subprocess SCP pour l'envoie de la photo subprocess.call(["scp", "-P", bytes(PORTSSH), "-p", file.pathFile ,"{0}@{1}:{2}".format(USER, bytes(HOST), fileDestination)]) time.sleep(0.01) logger.info(" >> Envoi OK") # on crée le chemin du fichier pour le rangement sur le RPi suivant la date de création # si il n'existe pas on crée le dossier sourcePath = os.path.join(os.path.expanduser("~"),"Pictures",datePath) if not os.path.exists(sourcePath): os.makedirs(sourcePath, mode=0o777) # Creation du nouveau nom newPathFile = os.path.join(sourcePath,file.nameFile) # Deplace/rennome la photo file = file.move(newPathFile) logger.info(" >> Fichier '{0}' déplacé vers '{1}'".format(file.nameFile, file.parenPathFile)) print("") mySocket.close() logger.info(" >> envoi des photos termine") if __name__ == "__main__": try: main() except KeyboardInterrupt: logger.warning("Programme interrompu par l'utilisateur") sys.exit(0)

36.574713

138

0.61675

765

6,364

5.065359

0.379085

0.017032

0.015484

0.011355

0.091355

0.07071

0.053161

0.038194

0

0.015175

0.285512

6,364

173

139

36.786127

0.836815

0.247014

0

0.186275

0

0.121078

0.006628

0

null

0

0.137255

null

0.039216

0

null

0

null

0

1

0

1

89418edd3c2fb8634084937401da418c6baab778

388

py

Python

posts/urls.py

xXcoronaXx/Dblog

56ee1b8f6f74fabbe0e081921e6cff092661e8df

[ "MIT" ]

null

posts/urls.py

xXcoronaXx/Dblog

56ee1b8f6f74fabbe0e081921e6cff092661e8df

[ "MIT" ]

null

posts/urls.py

xXcoronaXx/Dblog

56ee1b8f6f74fabbe0e081921e6cff092661e8df

[ "MIT" ]

null

from django.conf.urls import include, url urlpatterns = [ url(r'^admin/(?P<slug>[\w\-]+)/', 'posts.views.post_preview', name='post_preview'), url(r'^tag/(?P<slug>[\w\-]+)/', 'posts.views.posts_view_tag', name='posts_tag'), url(r'^popular/', 'posts.views.posts_view_popular', name='posts_popular'), url(r'^(?P<slug>[\w\-]+)/', 'posts.views.post_view', name='post_view'), ]

48.5

87

0.634021

58

388

4.068966

0.362069

0.067797

0.076271

0.139831

0.237288

0.169492

0

0.095361

388

8

88

48.5

0.672365

0

0.565553

0.383033

0

1

0

false

0

0.142857

0

0.142857

0

null

0

1

0

null

0

1

894a5fed9ddf654ea364f9de215cbb93bd3168ae

582

py

Python

britecoreproject/orm.py

alis0nc/britecore-project

aa31eb1f87c1c250f8bca9d9aa109eeae1232b9b

[ "MIT" ]

null

britecoreproject/orm.py

alis0nc/britecore-project

aa31eb1f87c1c250f8bca9d9aa109eeae1232b9b

[ "MIT" ]

1

2018-02-13T00:34:22.000Z

britecoreproject/orm.py

alis0nc/britecore-project

aa31eb1f87c1c250f8bca9d9aa109eeae1232b9b

[ "MIT" ]

null

""" Define ORM classes. """ from sqlobject import * class RiskType(SQLObject): """Define RiskType ORM class.""" riskTypeName = StringCol() fields = RelatedJoin('Field') class Field(SQLObject): """Define Field ORM class.""" fieldName = StringCol() fieldType = ForeignKey('FieldType') risks = RelatedJoin('RiskType') class FieldType(SQLObject): """Define FieldType ORM class.""" fieldTypeName = StringCol() def create_tables(): """Create tables in database.""" RiskType.createTable() Field.createTable() FieldType.createTable()

22.384615

39

0.671821

55

582

7.090909

0.436364

0.115385

0

0.189003

582

25

40

23.28

0.826271

0.214777

0

0.051282

0

1

0.071429

false

0

0.071429

0

0.785714

0

null

0

null

0

1

0

1

89506cba8d48107a96bebd4fb53108e48e413e52

179

py

Python

Curso_Coursera/Ex1_ParImpar.py

shirleyguimaraes/Linguagem_Python

cb8b871ee4fe85f803c35bfe55ce533cab8150fb

[ "MIT" ]

null

Curso_Coursera/Ex1_ParImpar.py

shirleyguimaraes/Linguagem_Python

cb8b871ee4fe85f803c35bfe55ce533cab8150fb

[ "MIT" ]

null

Curso_Coursera/Ex1_ParImpar.py

shirleyguimaraes/Linguagem_Python

cb8b871ee4fe85f803c35bfe55ce533cab8150fb

[ "MIT" ]

null

def main(): n = int(input("Digite um número inteiro: ")) resto = n % 2 if resto == 0: print("Par") else: print("Impar") main()

11.933333

49

0.435754

21

179

3.714286

0.809524

0

0.019048

0.413408

179

14

50

12.785714

0.72381

0

0.207317

0

1

0.125

false

0

0.125

0.25

1

0

null

0

null

0

1

89528b5ef79fc793c901837f37deed12889d7c14

536

py

Python

pyro/contrib/oed/__init__.py

cweniger/pyro

ba104f07ca17865d2600e8765d920d549fcb3fbc

[ "MIT" ]

10

2020-03-18T14:41:25.000Z

2021-07-04T08:49:57.000Z

pyro/contrib/oed/__init__.py

cweniger/pyro

ba104f07ca17865d2600e8765d920d549fcb3fbc

[ "MIT" ]

19

2018-10-30T13:45:31.000Z

2019-09-27T14:16:57.000Z

pyro/contrib/oed/__init__.py

cweniger/pyro

ba104f07ca17865d2600e8765d920d549fcb3fbc

[ "MIT" ]

5

2020-06-21T23:40:35.000Z

2021-11-09T16:18:42.000Z

""" The :mod:`pyro.contrib.oed` module provides tools to create optimal experiment designs for pyro models. In particular, it provides estimators for the expected information gain (EIG) criterion. To estimate the EIG for a particular design, use:: def model(design): ... # Select an appropriate EIG estimator, such as eig = vnmc_eig(model, design, ...) EIG can then be maximised using existing optimisers in :mod:`pyro.optim`. """ from pyro.contrib.oed import search, eig __all__ = [ "search", "eig" ]

23.304348

78

0.701493

74

536

5.013514

0.662162

0.037736

0.075472

0

0.199627

536

22

79

24.363636

0.864802

0.83209

0

0.109756

0

1

0

false

0

0.2

0

0.2

0

null

0

1

0

null

0

1

895d842bfc897627a79eb5fa98161a381e6ef77f

3,925

py

Python

venv/Lib/site-packages/caffe2/python/serialized_test/coverage.py

Westlanderz/AI-Plat1

1187c22819e5135e8e8189c99b86a93a0d66b8d8

[ "MIT" ]

1

2022-01-08T12:30:44.000Z

venv/Lib/site-packages/caffe2/python/serialized_test/coverage.py

Westlanderz/AI-Plat1

1187c22819e5135e8e8189c99b86a93a0d66b8d8

[ "MIT" ]

null

venv/Lib/site-packages/caffe2/python/serialized_test/coverage.py

Westlanderz/AI-Plat1

1187c22819e5135e8e8189c99b86a93a0d66b8d8

[ "MIT" ]

null

from caffe2.proto import caffe2_pb2 from caffe2.python import core, workspace import os import tempfile from zipfile import ZipFile ''' Generates a document in markdown format summrizing the coverage of serialized testing. The document lives in `caffe2/python/serialized_test/SerializedTestCoverage.md` ''' OpSchema = workspace.C.OpSchema def gen_serialized_test_coverage(source_dir, output_dir): (covered, not_covered, schemaless) = gen_coverage_sets(source_dir) num_covered = len(covered) num_not_covered = len(not_covered) num_schemaless = len(schemaless) total_ops = num_covered + num_not_covered with open(os.path.join(output_dir, 'SerializedTestCoverage.md'), 'w+') as f: f.write('# Serialized Test Coverage Report\n') f.write("This is an automatically generated file. Please see " "`caffe2/python/serialized_test/README.md` for details. " "In the case of merge conflicts, please rebase and regenerate.\n") f.write('## Summary\n') f.write( 'Serialized tests have covered {}/{} ({}%) operators\n\n'.format( num_covered, total_ops, (int)(num_covered / total_ops * 1000) / 10)) f.write('## Not covered operators\n') f.write('<details>\n') f.write( '<summary>There are {} not covered operators</summary>\n\n'.format( num_not_covered)) for n in sorted(not_covered): f.write('* ' + n + '\n') f.write('</details>\n\n') f.write('## Covered operators\n') f.write('<details>\n') f.write( '<summary>There are {} covered operators</summary>\n\n'.format( num_covered)) for n in sorted(covered): f.write('* ' + n + '\n') f.write('</details>\n\n') f.write('## Excluded from coverage statistics\n') f.write('### Schemaless operators\n') f.write('<details>\n') f.write( '<summary>There are {} schemaless operators</summary>\n\n'.format( num_schemaless)) for n in sorted(schemaless): f.write('* ' + n + '\n') f.write('</details>\n\n') def gen_coverage_sets(source_dir): covered_ops = gen_covered_ops(source_dir) not_covered_ops = set() schemaless_ops = [] for op_name in core._GetRegisteredOperators(): s = OpSchema.get(op_name) if s is not None and s.private: continue if s: if op_name not in covered_ops: not_covered_ops.add(op_name) else: if op_name.find("_ENGINE_") == -1: schemaless_ops.append(op_name) return (covered_ops, not_covered_ops, schemaless_ops) def gen_covered_ops(source_dir): def parse_proto(x): proto = caffe2_pb2.OperatorDef() proto.ParseFromString(x) return proto covered = set() for f in os.listdir(source_dir): zipfile = os.path.join(source_dir, f) if not os.path.isfile(zipfile): continue temp_dir = tempfile.mkdtemp() with ZipFile(zipfile) as z: z.extractall(temp_dir) op_path = os.path.join(temp_dir, 'op.pb') with open(op_path, 'rb') as f: loaded_op = f.read() op_proto = parse_proto(loaded_op) covered.add(op_proto.type) index = 0 grad_path = os.path.join(temp_dir, 'grad_{}.pb'.format(index)) while os.path.isfile(grad_path): with open(grad_path, 'rb') as f: loaded_grad = f.read() grad_proto = parse_proto(loaded_grad) covered.add(grad_proto.type) index += 1 grad_path = os.path.join(temp_dir, 'grad_{}.pb'.format(index)) return covered

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null

0

1

0

null

0

1

89730fea2cfd2a597b98eac7b0559f46c95c3edb

381

py

Python

Opencart/tests.py

BahrmaLe/otus_python_homework

510a4f1971b35048d760fcc45098e511b81bea31

[ "MIT" ]

1

2021-02-25T15:37:21.000Z

Opencart/tests.py

BahrmaLe/otus_python_homework

510a4f1971b35048d760fcc45098e511b81bea31

[ "MIT" ]

null

Opencart/tests.py

BahrmaLe/otus_python_homework

510a4f1971b35048d760fcc45098e511b81bea31

[ "MIT" ]

null

def test_open_home_page(driver, request): url = 'opencart/' return driver.get("".join([request.config.getoption("--address"), url])) element = driver.find_elements_by_xpath("//base[contains(@href, 'http://192.168.56.103/opencart/]") assert element == 'http://192.168.56.103/opencart/' assert driver.find_element_by_class_name('col-sm-4').text == 'Your Store'

42.333333

103

0.692913

54

381

4.703704

0.685185

0.07874

0.094488

0.228346

0

0.068249

0.115486

381

8

104

47.625

0.68546

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0

0.333333

0

null

0

1

0

null

0

1

8976ac3ed7f5bc537c2e56c41551cfde83e492fd

1,996

py

Python

two-phase-v2/OPE-master/run_ope.py

zizuzi/DeepEmbedding

d8762a94863fadced35b1dcc59996dcd02b1acaf

[ "MIT" ]

1

2019-07-10T05:59:26.000Z

two-phase-v2/OPE-master/run_ope.py

zizuzi/DeepEmbedding

d8762a94863fadced35b1dcc59996dcd02b1acaf

[ "MIT" ]

7

2019-03-20T00:28:15.000Z

2021-09-07T23:48:46.000Z

two-phase-v2/OPE-master/run_ope.py

thaihungle/DeepTopicEmbedding

d8762a94863fadced35b1dcc59996dcd02b1acaf

[ "MIT" ]

null

import sys sys.path.insert(0, './') sys.path.insert(0, './common') sys.path.insert(0, './ML-FW') sys.path.insert(0, './ML-OPE') sys.path.insert(0, './Online-FW') sys.path.insert(0, './Online-OPE') sys.path.insert(0, './Streaming-FW') sys.path.insert(0, './Streaming-OPE') import time import shutil import utilities as ut import run_ML_FW as mfw import run_ML_OPE as mope import run_Online_FW as ofw import run_Online_OPE as oope import run_Streaming_FW as sfw import run_Streaming_OPE as sope import os.path ''' example command: python run.py ./data2/news20.dat ./settings.txt ML-FW ''' if __name__ == '__main__': # Get environment variables train_file = sys.argv[1] setting_file = sys.argv[2] algo_name = sys.argv[3] test_data_folder = None if len(sys.argv)==5: test_data_folder = sys.argv[4] dataname=train_file.split('/')[-1].split('.')[0] modelname='./models/%s/%s' % (algo_name, dataname) train_file2=train_file+'.unsup' if os.path.isfile(train_file2): ut.convert_multilabel_unsupervised(train_file,train_file2) train_file=train_file2 numdoc, numterm=ut.count_data(train_file) print numdoc, numterm rf=open(setting_file,'r') rf.readline() rf.readline() newstr='num_docs: %d\nnum_terms: %d\n'%(numdoc, numterm) wf=open(setting_file,'w') wf.write(newstr) shutil.copyfileobj(rf,wf) wf.close() start_time=time.time() if algo_name=='ML-FW': mfw.run(train_file,setting_file,modelname,test_data_folder) if algo_name=='ML-OPE': mope.run(train_file,setting_file,modelname,test_data_folder) if algo_name=='Online-FW': ofw.run(train_file,setting_file,modelname,test_data_folder) if algo_name=='Online-OPE': oope.run(train_file,setting_file,modelname,test_data_folder) if algo_name=='Streaming-FW': sfw.run(train_file,setting_file,modelname,test_data_folder) if algo_name=='Streaming-OPE': sope.run(train_file,setting_file,modelname,test_data_folder) print '-----%s seconds------' %(time.time()-start_time)

30.707692

70

0.726954

323

1,996

4.256966

0.26935

0.078545

0.075636

0.081455

0.353455

0.258909

0.225455

0

0.012465

0.115731

1,996

64

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31.1875

0.766572

0.012525

0

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0

0.113168

0

null

0

0.196429

null

0.035714

0

null

0

null

0

1

0

1

8977bd7b64038385d9857845a7707789f51dd14d

216

py

Python

setup.py

mechyai/RL-EmsPy

01984a9bc37f35991073e17cf715687896d6ea8d

[ "Apache-2.0" ]

8

2022-03-15T13:22:22.000Z

2022-03-30T09:58:04.000Z

setup.py

mechyai/RL-EmsPy

01984a9bc37f35991073e17cf715687896d6ea8d

[ "Apache-2.0" ]

null

setup.py

mechyai/RL-EmsPy

01984a9bc37f35991073e17cf715687896d6ea8d

[ "Apache-2.0" ]

null

from distutils.core import setup setup( name='RL-EmsPy', version='0.0.1', packages=['emspy'], url='https://github.com/mechyai/RL-EmsPy', license='Apache License 2.0', author='Chris Eubel', )

19.636364

46

0.62963

30

216

4.533333

0.766667

0.102941

0

0.028409

0.185185

216

10

47

21.6

0.744318

0

0.37963

0

1

0

true

0

0.111111

0

0.111111

0

null

0

null

0

1

0

1

897b4e6d0cd4fcb2d42922fef3503586389e4297

170

py

Python

static/images/uploads/convert-to-web.py

KrishSkywalker/krishgoel.com-v2

a27f6bd9541f354a6ded37e6dcd9ca930c2264ff

[ "MIT" ]

null

static/images/uploads/convert-to-web.py

KrishSkywalker/krishgoel.com-v2

a27f6bd9541f354a6ded37e6dcd9ca930c2264ff

[ "MIT" ]

2

2021-10-09T06:50:53.000Z

2021-10-09T06:56:21.000Z

static/images/uploads/convert-to-web.py

KrishSkywalker/krishgoel.com-v2

a27f6bd9541f354a6ded37e6dcd9ca930c2264ff

[ "MIT" ]

null

import os from cv2 import cv2 for d in os.listdir(): if not d.endswith(".png"): continue img = cv2.imread(d) cv2.imwrite(d.replace(".png",".webp"), img) os.remove(d)

21.25

44

0.670588

31

170

3.677419

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0

0.027397

0.141176

170

8

45

21.25

0.753425

0

0.076023

0

1

0

false

0

0.285714

0

0.285714

0

null

0

1

0

null

0

1

897b64057889d6f4e8ff4affe28b5a7f47a4113d

16,328

bzl

Python

test/internal/opts/process_compiler_opts_tests.bzl

buildbuddy-io/rules_xcodeproj

79a54779d530d3907a69a7910c71c06fec4aefeb

[ "MIT" ]

30

2022-02-11T16:36:24.000Z

2022-03-31T18:18:06.000Z

test/internal/opts/process_compiler_opts_tests.bzl

buildbuddy-io/rules_xcodeproj

79a54779d530d3907a69a7910c71c06fec4aefeb

[ "MIT" ]

93

2022-02-10T23:46:22.000Z

2022-03-30T14:57:40.000Z

test/internal/opts/process_compiler_opts_tests.bzl

buildbuddy-io/rules_xcodeproj

79a54779d530d3907a69a7910c71c06fec4aefeb

[ "MIT" ]

3

2022-03-09T00:14:47.000Z

2022-03-31T11:16:16.000Z

"""Tests for compiler options processing functions.""" load("@bazel_skylib//lib:unittest.bzl", "asserts", "unittest") load("//test:utils.bzl", "stringify_dict") # buildifier: disable=bzl-visibility load("//xcodeproj/internal:opts.bzl", "testable") process_compiler_opts = testable.process_compiler_opts def _process_compiler_opts_test_impl(ctx): env = unittest.begin(ctx) build_settings = {} search_paths = process_compiler_opts( conlyopts = ctx.attr.conlyopts, cxxopts = ctx.attr.cxxopts, full_swiftcopts = ctx.attr.full_swiftcopts, user_swiftcopts = ctx.attr.user_swiftcopts, package_bin_dir = ctx.attr.package_bin_dir, build_settings = build_settings, ) string_build_settings = stringify_dict(build_settings) json_search_paths = json.encode(search_paths) expected_build_settings = { "SWIFT_OBJC_INTERFACE_HEADER_NAME": "", "SWIFT_OPTIMIZATION_LEVEL": "-Onone", "SWIFT_VERSION": "5", } expected_build_settings.update(ctx.attr.expected_build_settings) asserts.equals( env, expected_build_settings, string_build_settings, "build_settings", ) asserts.equals( env, ctx.attr.expected_search_paths, json_search_paths, "search_paths", ) return unittest.end(env) process_compiler_opts_test = unittest.make( impl = _process_compiler_opts_test_impl, attrs = { "conlyopts": attr.string_list(mandatory = True), "cxxopts": attr.string_list(mandatory = True), "expected_build_settings": attr.string_dict(mandatory = True), "expected_search_paths": attr.string(mandatory = True), "package_bin_dir": attr.string(mandatory = True), "full_swiftcopts": attr.string_list(mandatory = True), "user_swiftcopts": attr.string_list(mandatory = True), }, ) def process_compiler_opts_test_suite(name): """Test suite for `process_compiler_opts`. Args: name: The base name to be used in things created by this macro. Also the name of the test suite. """ test_names = [] def _add_test( *, name, expected_build_settings, expected_search_paths = {"quote_includes": [], "includes": [], "system_includes": []}, conlyopts = [], cxxopts = [], full_swiftcopts = [], user_swiftcopts = [], package_bin_dir = ""): test_names.append(name) process_compiler_opts_test( name = name, conlyopts = conlyopts, cxxopts = cxxopts, full_swiftcopts = full_swiftcopts, user_swiftcopts = user_swiftcopts, package_bin_dir = package_bin_dir, expected_build_settings = stringify_dict(expected_build_settings), expected_search_paths = json.encode(expected_search_paths), timeout = "short", ) # Base _add_test( name = "{}_swift_integration".format(name), full_swiftcopts = [ "-target", "arm64-apple-ios15.0-simulator", "-sdk", "__BAZEL_XCODE_SDKROOT__", "-F__BAZEL_XCODE_DEVELOPER_DIR__/Platforms/iPhoneSimulator.platform/Developer/Library/Frameworks", "-F__BAZEL_XCODE_SDKROOT__/Developer/Library/Frameworks", "-I__BAZEL_XCODE_DEVELOPER_DIR__/Platforms/iPhoneSimulator.platform/Developer/usr/lib", "-emit-object", "-output-file-map", "bazel-out/ios-sim_arm64-min15.0-applebin_ios-ios_sim_arm64-fastbuild-ST-4e6c2a19403f/bin/examples/ExampleUITests/ExampleUITests.library.output_file_map.json", "-Xfrontend", "-no-clang-module-breadcrumbs", "-emit-module-path", "bazel-out/ios-sim_arm64-min15.0-applebin_ios-ios_sim_arm64-fastbuild-ST-4e6c2a19403f/bin/examples/ExampleUITests/ExampleUITests.swiftmodule", "-DDEBUG", "-Onone", "-Xfrontend", "-serialize-debugging-options", "-enable-testing", "-application-extension", "weird", "-gline-tables-only", "-Xwrapped-swift=-debug-prefix-pwd-is-dot", "-Xwrapped-swift=-ephemeral-module-cache", "-Xcc", "-iquote.", "-Xcc", "-iquotebazel-out/ios-sim_arm64-min15.0-applebin_ios-ios_sim_arm64-fastbuild-ST-4e6c2a19403f/bin", "-Xfrontend", "-color-diagnostics", "-enable-batch-mode", "-unhandled", "-module-name", "ExampleUITests", "-parse-as-library", "-Xcc", "-O0", "-Xcc", "-DDEBUG=1", "examples/xcode_like/ExampleUITests/ExampleUITests.swift", "examples/xcode_like/ExampleUITests/ExampleUITestsLaunchTests.swift", ], user_swiftcopts = [], expected_build_settings = { "ENABLE_TESTABILITY": "True", "APPLICATION_EXTENSION_API_ONLY": "True", "OTHER_SWIFT_FLAGS": "weird -unhandled", "SWIFT_ACTIVE_COMPILATION_CONDITIONS": "DEBUG", }, ) _add_test( name = "{}_empty".format(name), conlyopts = [], cxxopts = [], full_swiftcopts = [], user_swiftcopts = [], expected_build_settings = {}, ) # Skips ## C and C++ # Anything with __BAZEL_XCODE_ # -isysroot # -mios-simulator-version-min # -miphoneos-version-min # -mmacosx-version-min # -mtvos-simulator-version-min # -mtvos-version-min # -mwatchos-simulator-version-min # -mwatchos-version-min # -target ## Swift: # Anything with __BAZEL_XCODE_ # -Ipath # -emit-module-path # -emit-object # -enable-batch-mode # -gline-tables-only # -module-name # -num-threads # -output-file-map # -parse-as-library # -sdk # -target # -Xcc # -Xfrontend # -Xwrapped-swift # Other things that end with ".swift", but don't start with "-" _add_test( name = "{}_skips".format(name), conlyopts = [ "-mtvos-simulator-version-min=8.0", "-passthrough", "-isysroot", "other", "-mios-simulator-version-min=11.2", "-miphoneos-version-min=9.0", "-passthrough", "-mtvos-version-min=12.1", "-I__BAZEL_XCODE_SOMETHING_/path", "-mwatchos-simulator-version-min=10.1", "-passthrough", "-mwatchos-version-min=9.2", "-target", "ios", "-mmacosx-version-min=12.0", "-passthrough", ], cxxopts = [ "-isysroot", "something", "-miphoneos-version-min=9.4", "-mmacosx-version-min=10.9", "-passthrough", "-mtvos-version-min=12.2", "-mwatchos-simulator-version-min=9.3", "-passthrough", "-mtvos-simulator-version-min=12.1", "-mwatchos-version-min=10.2", "-I__BAZEL_XCODE_BOSS_", "-target", "macos", "-passthrough", "-mios-simulator-version-min=14.0", ], full_swiftcopts = [ "-output-file-map", "path", "-passthrough", "-emit-module-path", "path", "-passthrough", "-Xfrontend", "-hidden", "-emit-object", "-enable-batch-mode", "-passthrough", "-gline-tables-only", "-sdk", "something", "-module-name", "name", "-passthrough", "-I__BAZEL_XCODE_SOMETHING_/path", "-num-threads", "6", "-passthrough", "-Ibazel-out/...", "-parse-as-library", "-passthrough", "-parse-as-library", "-keep-me=something.swift", "reject-me.swift", "-target", "ios", "-Xcc", "-weird", "-Xwrapped-swift", "-passthrough", ], expected_build_settings = { "OTHER_CFLAGS": [ "-passthrough", "-passthrough", "-passthrough", "-passthrough", ], "OTHER_CPLUSPLUSFLAGS": [ "-passthrough", "-passthrough", "-passthrough", ], "OTHER_SWIFT_FLAGS": """\ -passthrough \ -passthrough \ -passthrough \ -passthrough \ -passthrough \ -passthrough \ -keep-me=something.swift \ -passthrough\ """, }, ) # Specific Xcode build settings # CLANG_CXX_LANGUAGE_STANDARD _add_test( name = "{}_options-std".format(name), conlyopts = ["-std=c++42"], cxxopts = ["-std=c++42"], expected_build_settings = { "CLANG_CXX_LANGUAGE_STANDARD": "c++42", "OTHER_CFLAGS": ["-std=c++42"], }, ) _add_test( name = "{}_options-std=c++0x".format(name), cxxopts = ["-std=c++11"], expected_build_settings = { "CLANG_CXX_LANGUAGE_STANDARD": "c++0x", }, ) # CLANG_CXX_LIBRARY _add_test( name = "{}_options-stdlib".format(name), conlyopts = ["-stdlib=random"], cxxopts = ["-stdlib=random"], expected_build_settings = { "CLANG_CXX_LIBRARY": "random", "OTHER_CFLAGS": ["-stdlib=random"], }, ) ## ENABLE_TESTABILITY _add_test( name = "{}_swift_option-enable-testing".format(name), full_swiftcopts = ["-enable-testing"], expected_build_settings = { "ENABLE_TESTABILITY": "True", }, ) ## APPLICATION_EXTENSION_API_ONLY _add_test( name = "{}_swift_option-application-extension".format(name), full_swiftcopts = ["-application-extension"], expected_build_settings = { "APPLICATION_EXTENSION_API_ONLY": "True", }, ) ## GCC_OPTIMIZATION_LEVEL _add_test( name = "{}_differing_gcc_optimization_level".format(name), conlyopts = ["-O0"], cxxopts = ["-O1"], expected_build_settings = { "OTHER_CFLAGS": ["-O0"], "OTHER_CPLUSPLUSFLAGS": ["-O1"], }, ) _add_test( name = "{}_differing_gcc_optimization_level_common_first".format(name), conlyopts = ["-O1", "-O0"], cxxopts = ["-O1", "-O2"], expected_build_settings = { "GCC_OPTIMIZATION_LEVEL": "1", "OTHER_CFLAGS": ["-O0"], "OTHER_CPLUSPLUSFLAGS": ["-O2"], }, ) _add_test( name = "{}_multiple_gcc_optimization_levels".format(name), conlyopts = ["-O1", "-O0"], cxxopts = ["-O0", "-O1"], expected_build_settings = { "OTHER_CFLAGS": ["-O1", "-O0"], "OTHER_CPLUSPLUSFLAGS": ["-O0", "-O1"], }, ) _add_test( name = "{}_common_gcc_optimization_level".format(name), conlyopts = ["-O1"], cxxopts = ["-O1"], expected_build_settings = { "GCC_OPTIMIZATION_LEVEL": "1", }, ) ## GCC_PREPROCESSOR_DEFINITIONS _add_test( name = "{}_gcc_optimization_preprocessor_definitions".format(name), conlyopts = ["-DDEBUG", "-DDEBUG", "-DA=1", "-DZ=1", "-DB", "-DE"], cxxopts = ["-DDEBUG", "-DDEBUG", "-DA=1", "-DZ=2", "-DC", "-DE"], expected_build_settings = { "GCC_PREPROCESSOR_DEFINITIONS": ["DEBUG", "A=1"], "OTHER_CFLAGS": ["-DZ=1", "-DB", "-DE"], "OTHER_CPLUSPLUSFLAGS": ["-DZ=2", "-DC", "-DE"], }, ) ## SWIFT_ACTIVE_COMPILATION_CONDITIONS _add_test( name = "{}_defines".format(name), full_swiftcopts = [ "-DDEBUG", "-DBAZEL", "-DDEBUG", "-DBAZEL", ], expected_build_settings = { "SWIFT_ACTIVE_COMPILATION_CONDITIONS": "DEBUG BAZEL", }, ) ## SWIFT_COMPILATION_MODE _add_test( name = "{}_multiple_swift_compilation_modes".format(name), full_swiftcopts = [ "-wmo", "-no-whole-module-optimization", ], expected_build_settings = { "SWIFT_COMPILATION_MODE": "singlefile", }, ) _add_test( name = "{}_swift_option-incremental".format(name), full_swiftcopts = ["-incremental"], expected_build_settings = { "SWIFT_COMPILATION_MODE": "singlefile", }, ) _add_test( name = "{}_swift_option-whole-module-optimization".format(name), full_swiftcopts = ["-whole-module-optimization"], expected_build_settings = { "SWIFT_COMPILATION_MODE": "wholemodule", }, ) _add_test( name = "{}_swift_option-wmo".format(name), full_swiftcopts = ["-wmo"], expected_build_settings = { "SWIFT_COMPILATION_MODE": "wholemodule", }, ) _add_test( name = "{}_swift_option-no-whole-module-optimization".format(name), full_swiftcopts = ["-no-whole-module-optimization"], expected_build_settings = { "SWIFT_COMPILATION_MODE": "singlefile", }, ) ## SWIFT_OBJC_INTERFACE_HEADER_NAME _add_test( name = "{}_generated_header".format(name), full_swiftcopts = [ "-emit-objc-header-path", "a/b/c/TestingUtils-Custom.h", ], package_bin_dir = "a/b", expected_build_settings = { "SWIFT_OBJC_INTERFACE_HEADER_NAME": "c/TestingUtils-Custom.h", }, ) ## SWIFT_OPTIMIZATION_LEVEL _add_test( name = "{}_multiple_swift_optimization_levels".format(name), full_swiftcopts = [ "-Osize", "-Onone", "-O", ], expected_build_settings = { "SWIFT_OPTIMIZATION_LEVEL": "-O", }, ) _add_test( name = "{}_swift_option-Onone".format(name), full_swiftcopts = ["-Onone"], expected_build_settings = { "SWIFT_OPTIMIZATION_LEVEL": "-Onone", }, ) _add_test( name = "{}_swift_option-O".format(name), full_swiftcopts = ["-O"], expected_build_settings = { "SWIFT_OPTIMIZATION_LEVEL": "-O", }, ) _add_test( name = "{}_swift_option-Osize".format(name), full_swiftcopts = ["-Osize"], expected_build_settings = { "SWIFT_OPTIMIZATION_LEVEL": "-Osize", }, ) ## SWIFT_VERSION _add_test( name = "{}_swift_option-swift-version".format(name), full_swiftcopts = ["-swift-version=42"], expected_build_settings = { "SWIFT_VERSION": "42", }, ) # Search Paths _add_test( name = "{}_search_paths".format(name), conlyopts = [ "-iquote", "a/b/c", "-Ix/y/z", "-I", "1/2/3", "-iquote", "0/9", "-isystem", "s1/s2", ], cxxopts = [ "-iquote", "y/z", "-Ix/y/z", "-I", "aa/bb", "-isystem", "s3/s4", ], user_swiftcopts = ["-Xcc", "-Ic/d/e", "-Xcc", "-iquote4/5", "-Xcc", "-isystems5/s6"], expected_build_settings = {}, expected_search_paths = { "quote_includes": [ "a/b/c", "0/9", "y/z", "4/5", ], "includes": [ "x/y/z", "1/2/3", "aa/bb", "c/d/e", ], "system_includes": [ "s1/s2", "s3/s4", "s5/s6", ], }, ) # Test suite native.test_suite( name = name, tests = test_names, )

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0

null

0

null

0

1

0

1

898103c6939f84b86c66b0636276a738603f0eb9

515

py

Python

convert.py

FrilledShark/pi_graph

e5bb85d6f507f252ddad3375b7d24270cd4dcbb4

[ "MIT" ]

null

convert.py

FrilledShark/pi_graph

e5bb85d6f507f252ddad3375b7d24270cd4dcbb4

[ "MIT" ]

null

convert.py

FrilledShark/pi_graph

e5bb85d6f507f252ddad3375b7d24270cd4dcbb4

[ "MIT" ]

null

import os import re filenames = sorted([frame for frame in os.listdir("frames")], key=lambda x: int(re.search(r'\d+', os.path.splitext(x)[0]).group())) print("creating gif") import imageio with imageio.get_writer('storage/pi.gif', mode='I') as writer: for filename in filenames: image = imageio.imread(os.path.join("frames", filename)) writer.append_data(image) print("creating mp4") import moviepy.editor as mp clip = mp.VideoFileClip("storage/pi.gif") clip.write_videofile("storage/pi.mp4")

32.1875

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0

null

0

null

0

1

0

1

898730ea9a49096e8b6161edc2af4f23006465d6

2,757

py

Python

tests/regressiontests/custom_managers_regress/models.py

huicheese/Django-test3

ac11d2dce245b48392e52d1f4acfd5e7433b243e

[ "BSD-3-Clause" ]

19

2015-05-01T19:59:03.000Z

2021-12-09T08:03:16.000Z

tests/regressiontests/custom_managers_regress/models.py

joetyson/django

c3699190186561d5c216b2a77ecbfc487d42a734

[ "BSD-3-Clause" ]

1

2018-01-03T15:26:49.000Z

tests/regressiontests/custom_managers_regress/models.py

joetyson/django

c3699190186561d5c216b2a77ecbfc487d42a734

[ "BSD-3-Clause" ]

30

2015-03-25T19:40:07.000Z

2021-05-28T22:59:26.000Z

""" Regression tests for custom manager classes. """ from django.db import models class RestrictedManager(models.Manager): """ A manager that filters out non-public instances. """ def get_query_set(self): return super(RestrictedManager, self).get_query_set().filter(is_public=True) class RelatedModel(models.Model): name = models.CharField(max_length=50) def __unicode__(self): return self.name class RestrictedModel(models.Model): name = models.CharField(max_length=50) is_public = models.BooleanField(default=False) related = models.ForeignKey(RelatedModel) objects = RestrictedManager() plain_manager = models.Manager() def __unicode__(self): return self.name class OneToOneRestrictedModel(models.Model): name = models.CharField(max_length=50) is_public = models.BooleanField(default=False) related = models.OneToOneField(RelatedModel) objects = RestrictedManager() plain_manager = models.Manager() def __unicode__(self): return self.name __test__ = {"tests": """ Even though the default manager filters out some records, we must still be able to save (particularly, save by updating existing records) those filtered instances. This is a regression test for #8990, #9527 >>> related = RelatedModel.objects.create(name="xyzzy") >>> obj = RestrictedModel.objects.create(name="hidden", related=related) >>> obj.name = "still hidden" >>> obj.save() # If the hidden object wasn't seen during the save process, there would now be # two objects in the database. >>> RestrictedModel.plain_manager.count() 1 Deleting related objects should also not be distracted by a restricted manager on the related object. This is a regression test for #2698. >>> RestrictedModel.plain_manager.all().delete() >>> for name, public in (('one', True), ('two', False), ('three', False)): ... _ = RestrictedModel.objects.create(name=name, is_public=public, related=related) # Reload the RelatedModel instance, just to avoid any instance artifacts. >>> obj = RelatedModel.objects.get(name="xyzzy") >>> obj.delete() # All of the RestrictedModel instances should have been deleted, since they # *all* pointed to the RelatedModel. If the default manager is used, only the # public one will be deleted. >>> RestrictedModel.plain_manager.all() [] # The same test case as the last one, but for one-to-one models, which are # implemented slightly different internally, so it's a different code path. >>> obj = RelatedModel.objects.create(name="xyzzy") >>> _ = OneToOneRestrictedModel.objects.create(name="foo", is_public=False, related=obj) >>> obj = RelatedModel.objects.get(name="xyzzy") >>> obj.delete() >>> OneToOneRestrictedModel.plain_manager.all() [] """ }

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null

0

1

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null

0

1

8987a8a45d351bbfef65dc5938b0c5ab50967bd0

1,685

py

Python

test_code/python-plotter-serial-beta/plotter_freq_checker.py

ithallojunior/data_transmission

eaf1ef81c018dc5a42f1756b39e19bfaa7f34ed5

[ "MIT" ]

null

test_code/python-plotter-serial-beta/plotter_freq_checker.py

ithallojunior/data_transmission

eaf1ef81c018dc5a42f1756b39e19bfaa7f34ed5

[ "MIT" ]

null

test_code/python-plotter-serial-beta/plotter_freq_checker.py

ithallojunior/data_transmission

eaf1ef81c018dc5a42f1756b39e19bfaa7f34ed5

[ "MIT" ]

null

import serial import matplotlib.pyplot as plt import numpy as np import time pd = "/dev/tty.wchusbserial1410" #pd = "/dev/tty.usbmodem1421" p = serial.Serial(port=pd, baudrate=115200, bytesize=serial.EIGHTBITS, parity=serial.PARITY_NONE) p.flush() time.sleep(0.5) #plt.axis([0, 10, 0, 1]) plt.ion() samples = 4096#samples fs = 2040. # samples/sec freq = 0. # to start with t_freq_checker = 2. # checks frequency every N seconds time_window = samples/fs # seconds to_show = 100 t = np.arange(0., time_window, 1./fs) y = np.zeros(samples) t1 = time.time() while(1): try: plt.clf() plt.xlabel("Time(s)") plt.xlim(0, t[to_show]) plt.ylim(-0.1, 1.2)#(-0.1, 1.3) i = 0; while i < samples: value1 = p.read() value2 = p.read() #print "read" try: v = ord(value1[0])*256 + ord(value2[0]) y[i] = float(v)*(1.1/1023.0) i = i +1 #print "Values: ", v, ord(value1), ord(value2) except IndexError: print "Error" pass #print("Evlapsed time %f"%(time.time() -t1)) plt.plot(t, y) plt.title("Fs: %.3f | Freq.: %.3f "%(fs, freq)) plt.grid() plt.pause(1.0/30.0) #print("time %f"%(time.time() -t1)) #updates freq if ((time.time() - t1) >= t_freq_checker): ymean = y - y.mean() #removes DC fd = ( np.abs( np.fft.fft(ymean) ) )[:samples/2].argmax() freq = fs * fd/samples t1 = time.time() except KeyboardInterrupt: plt.close() break p.close()

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0.020408

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null

0

null

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1

0

1

8988728d0b2235f53cc08dcd048278808b2a69e7

425

py

Python

investment_report/migrations/0026_remove_howwecanhelp_sector.py

uktrade/pir-api

79747ceab042c42c287e2b7471f6dade70f68693

[ "MIT" ]

1

2021-02-02T19:08:55.000Z

investment_report/migrations/0026_remove_howwecanhelp_sector.py

uktrade/invest-pir-api

be56efddf9dfdf81c8557441a9a54d9a4dd4bab1

[ "MIT" ]

21

2018-07-10T10:20:47.000Z

2022-03-24T09:36:29.000Z

investment_report/migrations/0026_remove_howwecanhelp_sector.py

uktrade/pir-api

79747ceab042c42c287e2b7471f6dade70f68693

[ "MIT" ]

1

2021-02-04T11:28:37.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.29 on 2020-09-01 14:28 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('investment_report', '0025_howwecanhelp_smartworkforcesector'), ] operations = [ migrations.RemoveField( model_name='howwecanhelp', name='sector', ), ]

21.25

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425

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0.068966

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425

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0.416667

0

null

0

1

0

null

0

1

898c77e492dd4a9d199a1a4723672c492bb1ddb8

3,811

py

Python

downloader.py

mathieuhendey/lastfm_downloader

616ed6edad171e6eda05fd48b07a237d7c788fd5

[ "MIT" ]

3

2019-06-06T08:59:18.000Z

2021-07-16T06:43:24.000Z

downloader.py

mathieuhendey/lastfm_downloader

616ed6edad171e6eda05fd48b07a237d7c788fd5

[ "MIT" ]

1

2021-08-23T14:33:09.000Z

downloader.py

mathieuhendey/lastfm_downloader

616ed6edad171e6eda05fd48b07a237d7c788fd5

[ "MIT" ]

1

2020-10-15T08:40:55.000Z

import sys import pandas as pd import requests import pprint from requests_toolbelt.threaded import pool # Generate your own at https://www.last.fm/api/account/create LASTFM_API_KEY = None LASTFM_USER_NAME = None TEXT = "#text" ESTIMATED_TIME_FOR_PROCESSING_PAGE = 352 ESTIMATED_TIME_FOR_PROCESSING_DATAFRAME_PER_PAGE_OF_RESULTS = 275 if LASTFM_USER_NAME is None or LASTFM_API_KEY is None: print( """ You need to generate some credentials, see the source code """ ) sys.exit(1) def get_scrobbles( endpoint="recenttracks", username=LASTFM_USER_NAME, key=LASTFM_API_KEY, limit=200, extended=0, page=1, pages=0, ): """ endpoint: API endpoint. username: Last.fm username to fetch scrobbles for. key: API key. limit: The number of records per page. Maximum is 200. extended: Extended results from API, such as whether user has "liked" the track. page: First page to retrieve. pages: How many pages of results after "page" argument to retrieve. If 0, get all pages. """ # initialize URL and lists to contain response fields url = ( "https://ws.audioscrobbler.com/2.0/?method=user.get{}" "&user={}" "&api_key={}" "&limit={}" "&extended={}" "&page={}" "&format=json" ) # get total number of pages request_url = url.format(endpoint, username, key, limit, extended, page) response = requests.get(request_url).json() total_pages = int(response[endpoint]["@attr"]["totalPages"]) if pages > 0: total_pages = min([total_pages, pages]) print( "Total pages to retrieve: {}. Estimated time: {}".format( total_pages, get_time_remaining(total_pages) ) ) artist_names = [] album_names = [] track_names = [] timestamps = [] urls = [] # add formatted URLs to list to be requested in thread pool for page in range(0, int(total_pages) + 1, 1): urls.append(url.format(endpoint, username, key, limit, extended, page)) p = pool.Pool.from_urls(urls) p.join_all() for response in p.responses(): if endpoint in response.json(): response_json = response.json()[endpoint]["track"] for track in response_json: if "@attr" not in track: artist_names.append(track["artist"][TEXT]) album_names.append(track["album"][TEXT]) track_names.append(track["name"]) timestamps.append(track["date"]["uts"]) # create and populate a dataframe to contain the data df = pd.DataFrame() df["artist"] = artist_names df["album"] = album_names df["track"] = track_names df["timestamps"] = timestamps # In UTC. Last.fm returns datetimes in the user's locale when they listened df["datetime"] = pd.to_datetime(timestamps, unit="s") df.sort_values("timestamps", ascending=False, inplace=True) return df def get_time_remaining(pages_remaining): """Calculate the estimated time remaining.""" millis_remaining = int( (pages_remaining * ESTIMATED_TIME_FOR_PROCESSING_PAGE) + ( pages_remaining * ESTIMATED_TIME_FOR_PROCESSING_DATAFRAME_PER_PAGE_OF_RESULTS ) ) seconds_remaining = (millis_remaining / 1000) % 60 seconds_remaining = int(seconds_remaining) minutes_remaining = (millis_remaining / (1000 * 60)) % 60 minutes_remaining = int(minutes_remaining) return "{}m{:2}s".format(minutes_remaining, seconds_remaining) scrobbles = get_scrobbles(page=1, pages=0) # Default to all Scrobbles scrobbles.to_csv("./data/lastfm_scrobbles.csv", index=False, encoding="utf-8") print("{:,} total rows".format(len(scrobbles))) scrobbles.head()

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0

null

0

1

0

null

0

1

898eb33546671a512a010d7eaa79d1cab11f0acf

1,652

py

Python

src/trainer/fasttexttrainer.py

liuweiping2020/pyml

0b9a7a307b93f9313d7e1bb92b33ae330d681c73

[ "Apache-2.0" ]

null

src/trainer/fasttexttrainer.py

liuweiping2020/pyml

0b9a7a307b93f9313d7e1bb92b33ae330d681c73

[ "Apache-2.0" ]

null

src/trainer/fasttexttrainer.py

liuweiping2020/pyml

0b9a7a307b93f9313d7e1bb92b33ae330d681c73

[ "Apache-2.0" ]

null

import numpy as np from modeler.fasttextmodel import FastTextModel from trainer.tftrainer import TFTrainer class FastTextTrainer(TFTrainer): def __init__(self): self.num_classes = 19 self.learning_rate = 0.01 self.batch_size = 8 self.decay_steps = 1000 self.decay_rate = 0.9 self.sequence_length = 5 self.vocab_size = 10000 self.embed_size = 100 self.is_training = True self.dropout_keep_prob = 1 pass def get_model(self): self.fastText = FastTextModel(self.num_classes, self.learning_rate, self.batch_size, self.decay_steps, self.decay_rate, 5, self.sequence_length, self.vocab_size, self.embed_size, self.is_training) def get_data(self): self.input_x = np.zeros((self.batch_size, self.sequence_length), dtype=np.int32) self.input_y = np.array([1, 0, 1, 1, 1, 2, 1, 1], dtype=np.int32) def get_fetch_list(self): self.fetch_list = [self.fastText.loss_val, self.fastText.accuracy, self.fastText.predictions, self.fastText.train_op] def get_feed_dict(self): self.feed_dict = {self.fastText.sentence: self.input_x, self.fastText.labels: self.input_y} def train(self): for i in range(100): loss, acc, predict, _ = self.session.run(self.fetch_list, feed_dict=self.feed_dict) print("loss:", loss, "acc:", acc, "label:", self.input_y, "prediction:", predict) if __name__ == '__main__': FastTextTrainer = FastTextTrainer() FastTextTrainer.run() pass

34.416667

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null

0

null

0

1

0

1

8994560794eac403f32c84dae0fea83d1c5d480e

3,379

py

Python

nonconformist/base.py

smazzanti/nonconformist

5ed072c82ae6d923eb6063a6a5c8fa664fbf729c

[ "MIT" ]

301

2015-03-18T01:47:37.000Z

2022-03-11T14:50:55.000Z

nonconformist/base.py

smazzanti/nonconformist

5ed072c82ae6d923eb6063a6a5c8fa664fbf729c

[ "MIT" ]

25

2016-07-25T21:36:26.000Z

2022-02-23T00:39:07.000Z

nonconformist/base.py

smazzanti/nonconformist

5ed072c82ae6d923eb6063a6a5c8fa664fbf729c

[ "MIT" ]

91

2015-03-19T08:25:16.000Z

2022-03-08T08:31:38.000Z

#!/usr/bin/env python """ docstring """ # Authors: Henrik Linusson import abc import numpy as np from sklearn.base import BaseEstimator class RegressorMixin(object): def __init__(self): super(RegressorMixin, self).__init__() @classmethod def get_problem_type(cls): return 'regression' class ClassifierMixin(object): def __init__(self): super(ClassifierMixin, self).__init__() @classmethod def get_problem_type(cls): return 'classification' class BaseModelAdapter(BaseEstimator): __metaclass__ = abc.ABCMeta def __init__(self, model, fit_params=None): super(BaseModelAdapter, self).__init__() self.model = model self.last_x, self.last_y = None, None self.clean = False self.fit_params = {} if fit_params is None else fit_params def fit(self, x, y): """Fits the model. Parameters ---------- x : numpy array of shape [n_samples, n_features] Inputs of examples for fitting the model. y : numpy array of shape [n_samples] Outputs of examples for fitting the model. Returns ------- None """ self.model.fit(x, y, **self.fit_params) self.clean = False def predict(self, x): """Returns the prediction made by the underlying model. Parameters ---------- x : numpy array of shape [n_samples, n_features] Inputs of test examples. Returns ------- y : numpy array of shape [n_samples] Predicted outputs of test examples. """ if ( not self.clean or self.last_x is None or self.last_y is None or not np.array_equal(self.last_x, x) ): self.last_x = x self.last_y = self._underlying_predict(x) self.clean = True return self.last_y.copy() @abc.abstractmethod def _underlying_predict(self, x): """Produces a prediction using the encapsulated model. Parameters ---------- x : numpy array of shape [n_samples, n_features] Inputs of test examples. Returns ------- y : numpy array of shape [n_samples] Predicted outputs of test examples. """ pass class ClassifierAdapter(BaseModelAdapter): def __init__(self, model, fit_params=None): super(ClassifierAdapter, self).__init__(model, fit_params) def _underlying_predict(self, x): return self.model.predict_proba(x) class RegressorAdapter(BaseModelAdapter): def __init__(self, model, fit_params=None): super(RegressorAdapter, self).__init__(model, fit_params) def _underlying_predict(self, x): return self.model.predict(x) class OobMixin(object): def __init__(self, model, fit_params=None): super(OobMixin, self).__init__(model, fit_params) self.train_x = None def fit(self, x, y): super(OobMixin, self).fit(x, y) self.train_x = x def _underlying_predict(self, x): # TODO: sub-sampling of ensemble for test patterns oob = x == self.train_x if hasattr(oob, 'all'): oob = oob.all() if oob: return self._oob_prediction() else: return super(OobMixin, self)._underlying_predict(x) class OobClassifierAdapter(OobMixin, ClassifierAdapter): def __init__(self, model, fit_params=None): super(OobClassifierAdapter, self).__init__(model, fit_params) def _oob_prediction(self): return self.model.oob_decision_function_ class OobRegressorAdapter(OobMixin, RegressorAdapter): def __init__(self, model, fit_params=None): super(OobRegressorAdapter, self).__init__(model, fit_params) def _oob_prediction(self): return self.model.oob_prediction_

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0.718556

459

3,379

5.002179

0.213508

0.058798

0.067073

0.041812

0.503484

0.442509

0.406794

0.39547

0.336237

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0

0.167505

3,379

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64

21.660256

0.81621

0.255697

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0.293333

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0.00641

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0.253333

false

0.013333

0.04

0.08

0.533333

0

null

0

null

0

1

0

1

89970080ba2f0570c2f1e353abfb492b88c1cf1e

2,263

py

Python

ShareSpace/views.py

BNordstrom16/ShareSpaceWeb

676ddbc52f745d4b8a17f18f26a15329ad91ebfa

[ "MIT" ]

null

ShareSpace/views.py

BNordstrom16/ShareSpaceWeb

676ddbc52f745d4b8a17f18f26a15329ad91ebfa

[ "MIT" ]

null

ShareSpace/views.py

BNordstrom16/ShareSpaceWeb

676ddbc52f745d4b8a17f18f26a15329ad91ebfa

[ "MIT" ]

null

from django.shortcuts import render, redirect from django.views.generic import UpdateView, DeleteView from .models import Storage from django_tables2 import RequestConfig from .tables import StorageTable from django.contrib.auth.decorators import login_required from .forms import StorageForm, QuestionForm def index(request): table = Storage.objects.reverse()[0:3] return render(request, '../templates/index.html', {'storages': table}) def about(request): if request.method == "POST": form = QuestionForm(request.POST) if form.is_valid(): instance = form.save(commit=False) instance.save() return '/about' else: form = QuestionForm() return render(request, '../templates/about.html', {'form': form}) def current_storages(request): table = StorageTable(Storage.objects.all()) RequestConfig(request).configure(table) return render(request, '../templates/current_storages.html', {'table': table}) @login_required(login_url='/accounts/login') def create_storage(request): if request.method == "POST": form = StorageForm(request.POST, request.FILES) if form.is_valid(): model_instance = form.save(commit=False) model_instance.user_id = request.user model_instance.save() return redirect('/current_storages') else: form = StorageForm() return render(request, '../templates/create_storage.html', {'form': form}) def storage(request, storage_id): storage_request = Storage.objects.get(pk=storage_id) return render(request, '../templates/storage.html', {'storage': storage_request}) class EditStorage(UpdateView): model = Storage form_class = StorageForm template_name = 'storage_update_form.html' success_url = '/current_storages' class DeleteStorage(DeleteView): model = Storage template_name = 'storage_confirm_delete.html' success_url = '/current_storages' def show_image(request, storage_id): photo_request = Storage.objects.get(pk=storage_id) return render(request, '../templates/show_image.html', {'storage': photo_request}) def logout(request): return render(request, '../templates/registration/logout.html', {})

28.2875

86

0.696421

257

2,263

5.992218

0.287938

0.054545

0.086364

0.127273

0.193506

0.120779

0.081818

0

0.001621

0.182059

2,263

79

87

28.64557

0.830362

0

0.188679

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0.163121

0.112145

0

1

0.132075

false

0

0.132075

0.018868

0.603774

0

null

0

null

0

1

0

1

899a40a76b3d46b1165d8bfc6e8d1efe16d93e6b

1,282

py

Python

rest_framework_security/deny_repeat_password/signals.py

RubenEu/django-rest-framework-security

638cf271c51a5bafd434a6b6a9c25a7c4849b485

[ "MIT" ]

7

2020-09-01T09:55:25.000Z

2021-11-04T06:59:04.000Z

rest_framework_security/deny_repeat_password/signals.py

RubenEu/django-rest-framework-security

638cf271c51a5bafd434a6b6a9c25a7c4849b485

[ "MIT" ]

32

2020-10-28T17:09:18.000Z

2022-03-12T00:55:09.000Z

rest_framework_security/deny_repeat_password/signals.py

RubenEu/django-rest-framework-security

638cf271c51a5bafd434a6b6a9c25a7c4849b485

[ "MIT" ]

2

2020-12-18T01:26:53.000Z

2021-11-04T06:59:07.000Z

from django.apps import apps from django.contrib.auth import get_user_model from django.db.models.signals import post_save from django.dispatch import receiver, Signal from rest_framework_security.deny_repeat_password import config from rest_framework_security.deny_repeat_password.emails import ChangedPasswordEmail from rest_framework_security.deny_repeat_password.models import UserPassword password_changed = Signal(providing_args=["user"]) @receiver(post_save, sender=get_user_model()) def set_user_password_receiver(sender, instance, **kwargs): if instance._password is None: return user_password, created = UserPassword.objects.get_or_create( user=instance, password=instance.password ) UserPassword.objects.remove_old_passwords(instance) if ( created and config.DENY_REPEAT_PASSWORD_CLOSE_SESSIONS and apps.is_installed("rest_framework_security.authentication") ): from rest_framework_security.authentication.models import UserSession UserSession.objects.filter(user=instance).clean_and_delete() if created: password_changed.send(None, user=instance) @receiver(password_changed) def send_password_changed_email(sender, user, **kwargs): ChangedPasswordEmail(user).send()

34.648649

84

0.789392

157

1,282

6.159236

0.363057

0.067218

0.108583

0.103413

0.133402

0

0.138846

1,282

36

85

35.611111

0.875906

0

0.032761

0.029641

0

1

0.071429

false

0.5

0.285714

0

0.392857

0

null

0

null

0

1

0

1

899a7241af6e0b8cdd621ac196abec7ab6dcaa11

1,085

py

Python

tests/test_post.py

DerrickOdhiambo/Flask-IP3

9861d49152bced9d8ddda7783628451e5af10323

[ "MIT" ]

null

tests/test_post.py

DerrickOdhiambo/Flask-IP3

9861d49152bced9d8ddda7783628451e5af10323

[ "MIT" ]

null

tests/test_post.py

DerrickOdhiambo/Flask-IP3

9861d49152bced9d8ddda7783628451e5af10323

[ "MIT" ]

null

import unittest from app.models import User,Post,Comments from app import db class PostTest(unittest.TestCase): def setUp(self): """ Set up method that will run before every Test """ self.post= Post(category='Product', content='Yes we can!') self.user_Derrick = User(username = 'Derrick',password = 'password', email = 'derrick@mail.com') self.new_comment = Comments(text='This is good', user=self.user_Derrick ) def tearDown(self): Comments.query.delete() Post.query.delete() User.query.delete() def test_instance(self): self.assertTrue(isinstance(self.post, Post)) def test_check_instance_variables(self): self.assertEquals(self.post.category,'Product') self.assertEquals(self.post.content,'Yes we can!') self.assertEquals(self.new_comment.text,'This is good') self.assertEquals(self.new_comment.user,self.user_Derrick) def test_save_comment(self): self.new_comment.save_comment() self.assertTrue(len(Comments.query.all())>0)

31.911765

104

0.669124

139

1,085

5.122302

0.395683

0.044944

0.078652

0.042135

0.19382

0

0.001166

0.209217

1,085

33

105

32.878788

0.828671

0.041475

0

0.089567

0

0.272727

1

0.227273

false

0.045455

0.136364

0

0.409091

0

null

0

null

0

1

0

1

899e05d154700b28dc0f00552d97ba1b87816851

3,474

py

Python

biblio/my_secondary_verifications.py

lokal-profil/isfdb_site

0ce20d6347849926d4eda961ea9249c31519eea5

[ "BSD-3-Clause" ]

null

biblio/my_secondary_verifications.py

lokal-profil/isfdb_site

0ce20d6347849926d4eda961ea9249c31519eea5

[ "BSD-3-Clause" ]

null

biblio/my_secondary_verifications.py

lokal-profil/isfdb_site

0ce20d6347849926d4eda961ea9249c31519eea5

[ "BSD-3-Clause" ]

null

#!_PYTHONLOC # # (C) COPYRIGHT 2020-2021 Ahasuerus # ALL RIGHTS RESERVED # # The copyright notice above does not evidence any actual or # intended publication of such source code. # # Version: $Revision: 571 $ # Date: $Date: 2020-11-19 15:53:08 -0500 (Thu, 19 Nov 2020) $ from isfdb import * from common import * from login import * from SQLparsing import * if __name__ == '__main__': start = SESSION.Parameter(0, 'int', 0) PrintHeader('My Secondary Verifications') PrintNavbar('my_secondary_verifications', 0, 0, 'my_secondary_verifications.cgi', 0) user = User() user.load() if not user.id: print '<h3>You must be logged in to view your secondary verifications</h3>' PrintTrailer('my_secondary_verifications', 0, 0) sys.exit(0) per_page = 200 # First select 200 verification IDs -- needs to be done as a separate query since the SQL optimizer # in MySQL 5.0 is not always smart enough to use all available indices for multi-table queries query = """select verification.* from verification where ver_status = 1 and user_id = %d order by ver_time desc limit %d, %d""" % (int(user.id), start, per_page) db.query(query) result0 = db.store_result() if result0.num_rows() == 0: print '<h3>No verifications present</h3>' PrintTrailer('recentver', 0, 0) sys.exit(0) ver = result0.fetch_row() ver_set = [] while ver: ver_set.append(ver[0]) ver = result0.fetch_row() print '<table cellpadding=3 class="generic_table">' print '<tr class="generic_table_header">' print '<th>#</th>' print '<th>Publication Title</th>' print '<th>Reference</th>' print '<th>Time</th>' print '</tr>' color = 0 count = start for ver in ver_set: pub_id = ver[VERIF_PUB_ID] verifier_id = ver[VERIF_USER_ID] verification_id = ver[VERIF_REF_ID] verification_time = ver[VERIF_TIME] query = """select r.reference_label, p.pub_title from reference r, pubs p where r.reference_id = %d and p.pub_id = %d""" % (verification_id, pub_id) db.query(query) result = db.store_result() record = result.fetch_row() color = color ^ 1 while record: count += 1 reference_name = record[0][0] pub_title = record[0][1] if color: print '<tr align=left class="table1">' else: print '<tr align=left class="table2">' print '<td>%d</td>' % count print '<td>%s</td>' % ISFDBLink('pl.cgi', pub_id, pub_title) print '<td>%s</td>' % reference_name print '<td>%s</td>' % verification_time print '</tr>' record = result.fetch_row() print '</table>' if result0.num_rows() > (per_page - 1): print '<p> [%s]' % ISFDBLink('my_secondary_verifications.cgi', start + per_page, 'MORE') PrintTrailer('my_secondary_verifications', 0, 0)

35.44898

107

0.531952

408

3,474

4.375

0.382353

0.086275

0.080672

0.042017

0.111485

0.042577

0

0.035442

0.358377

3,474

97

108

35.814433

0.765366

0.136154

0

0.169014

0

0.31158

0.063253

0

null

0

0.056338

null

0.253521

0

null

0

null

0

1

0

1

899e62389d7e3e73d0a9cac9e6a927bac137f515

1,523

py

Python

extended_uva_judge/utilities.py

fritogotlayed/Extended-UVA-Judge

7f4b04052429374d90597757c5bfb2a0a5bfe2ba

[ "MIT" ]

null

extended_uva_judge/utilities.py

fritogotlayed/Extended-UVA-Judge

7f4b04052429374d90597757c5bfb2a0a5bfe2ba

[ "MIT" ]

null

extended_uva_judge/utilities.py

fritogotlayed/Extended-UVA-Judge

7f4b04052429374d90597757c5bfb2a0a5bfe2ba

[ "MIT" ]

null

import os import yaml from extended_uva_judge import errors def get_problem_directory(app_config): """Gets the directory containing the problem configs. :return: The path to the problem configs. :rtype: str """ problem_directory = app_config['problem_directory'] if not problem_directory: raise errors.MissingConfigEntryError('problem_directory') # Check for full windows or *nix directory path if not (problem_directory.startswith('/') or ':' in problem_directory): # assume it's relative to the current working directory problem_directory = os.path.join(os.getcwd(), problem_directory) return problem_directory def get_problem_config(app_config, problem_id): """Gets the configuration for this objects corresponding problem. :return: The configuration for the users selected problem :rtype: dict """ problem_directory = get_problem_directory(app_config) problem_config_path = os.path.join( problem_directory, '%s.yaml' % problem_id) problem_config = yaml.load(open(problem_config_path)) return problem_config def does_problem_config_exist(app_config, problem_id): """Checks to see if the problem configuration exists in the system. :return: True if it exists, false otherwise :rtype: bool """ problem_directory = get_problem_directory(app_config) problem_config_path = os.path.join( problem_directory, '%s.yaml' % problem_id) return os.path.exists(problem_config_path)

29.288462

75

0.730138

196

1,523

5.438776

0.321429

0.24015

0.075047

0.093809

0.245779

0.189493

0

0.19107

1,523

51

76

29.862745

0.86526

0.304662

0

0.285714

0

0.04985

0

1

0.142857

false

0

0.142857

0

0.428571

0

null

1

0

null

0

1

89a0e886b154e2d90823978c34e848f5d1927982

18,885

py

Python

scripts/ur5_open_loop.py

lar-deeufba/real_time_grasp

d5ba0253bc42103b3dc5135d345c3a650f0bd64f

[ "BSD-3-Clause" ]

27

2020-05-26T23:48:12.000Z

2022-01-21T09:33:11.000Z

scripts/ur5_open_loop.py

lar-deeufba/real-time-grasp

d5ba0253bc42103b3dc5135d345c3a650f0bd64f

[ "BSD-3-Clause" ]

null

scripts/ur5_open_loop.py

lar-deeufba/real-time-grasp

d5ba0253bc42103b3dc5135d345c3a650f0bd64f

[ "BSD-3-Clause" ]

8

2020-05-20T03:29:20.000Z

2021-12-21T13:40:10.000Z

#!/usr/bin/python import rospy import actionlib import numpy as np import argparse import copy from copy import deepcopy import rosservice import sys import re from std_msgs.msg import Float64MultiArray, Float32MultiArray from control_msgs.msg import FollowJointTrajectoryAction, FollowJointTrajectoryGoal, JointTolerance from sensor_msgs.msg import JointState from trajectory_msgs.msg import JointTrajectory, JointTrajectoryPoint from geometry_msgs.msg import Pose from controller_manager_msgs.srv import SwitchController # Gazebo from gazebo_msgs.msg import ModelStates, ContactsState, ContactState, LinkState from gazebo_msgs.srv import GetLinkState, DeleteModel from tf import TransformListener, TransformBroadcaster from tf.transformations import euler_from_quaternion, quaternion_from_euler # Inverse kinematics from trac_ik_python.trac_ik import IK from robotiq_2f_gripper_control.msg import _Robotiq2FGripper_robot_output as outputMsg CLOSE_GRIPPER_VEL = 0.05 MAX_GRIPPER_CLOSE_INIT = 0.25 # Maximum angle that the gripper should be started using velocity command PICKING = False # Tells the node that the object must follow the gripper def parse_args(): parser = argparse.ArgumentParser(description='AAPF_Orientation') parser.add_argument('--gazebo', action='store_true', help='Set the parameters related to the simulated enviroonment in Gazebo') args = parser.parse_args() return args class vel_control(object): def __init__(self, args, joint_values = None): rospy.init_node('command_GGCNN_ur5') self.args = args self.joint_values_home = joint_values self.tf = TransformListener() # Used to change the controller self.controller_switch = rospy.ServiceProxy('/controller_manager/switch_controller', SwitchController) # actionClient used to send joint positions self.client = actionlib.SimpleActionClient('pos_based_pos_traj_controller/follow_joint_trajectory', FollowJointTrajectoryAction) print "Waiting for server (pos_based_pos_traj_controller)..." self.client.wait_for_server() print "Connected to server (pos_based_pos_traj_controller)" # Gazebo topics if self.args.gazebo: # For picking self.pub_model_position = rospy.Publisher('/gazebo/set_link_state', LinkState, queue_size=1) self.get_model_coordinates = rospy.ServiceProxy('/gazebo/get_link_state', GetLinkState) self.delete_model_service = rospy.ServiceProxy('/gazebo/delete_model', DeleteModel) rospy.Subscriber('gazebo/model_states', ModelStates, self.get_model_state_callback, queue_size=1) # Subscriber used to read joint values rospy.Subscriber('/joint_states', JointState, self.ur5_actual_position_callback, queue_size=1) rospy.sleep(1.0) # USED FOR COLLISION DETECTION self.finger_links = ['robotiq_85_right_finger_tip_link', 'robotiq_85_left_finger_tip_link'] # LEFT GRIPPER self.string = "" rospy.Subscriber('/left_finger_bumper_vals', ContactsState, self.monitor_contacts_left_finger_callback) # ContactState self.left_collision = False self.contactState_left = ContactState() # RIGHT GRIPPER rospy.Subscriber('/right_finger_bumper_vals', ContactsState, self.monitor_contacts_right_finger_callback) # ContactState self.right_collision = False self.contactState_right = ContactState() self.client_gripper = actionlib.SimpleActionClient('gripper_controller_pos/follow_joint_trajectory', FollowJointTrajectoryAction) print "Waiting for server (gripper_controller_pos)..." self.client_gripper.wait_for_server() print "Connected to server (gripper_controller_pos)" # GGCNN self.posCB = [] self.ori = [] self.grasp_cartesian_pose = [] self.gripper_angle_grasp = 0.0 self.final_orientation = 0.0 if self.args.gazebo: self.offset_x = 0.0 self.offset_y = 0.0 self.offset_z = 0.020 #0.019 else: self.offset_x = -0.03 # 0.002 self.offset_y = 0.02 # -0.05 self.offset_z = 0.058 # 0.013 self.ur5_joint_names = rospy.get_param("/ur5_joint_names") self.robotiq_joint_name = rospy.get_param("/robotiq_joint_name") # Topic published from GG-CNN Node rospy.Subscriber('ggcnn/out/command', Float32MultiArray, self.ggcnn_command_callback, queue_size=1) # Robotiq control self.pub_gripper_command = rospy.Publisher('Robotiq2FGripperRobotOutput', outputMsg.Robotiq2FGripper_robot_output, queue_size=1) self.d = None # msg received from GGCN self.gripper_max_width = 0.14 def turn_velocity_controller_on(self): self.controller_switch(['joint_group_vel_controller'], ['pos_based_pos_traj_controller'], 1) def turn_position_controller_on(self): self.controller_switch(['pos_based_pos_traj_controller'], ['joint_group_vel_controller'], 1) def turn_gripper_velocity_controller_on(self): self.controller_switch(['gripper_controller_vel'], ['gripper_controller_pos'], 1) def turn_gripper_position_controller_on(self): self.controller_switch(['gripper_controller_pos'], ['gripper_controller_vel'], 1) def monitor_contacts_left_finger_callback(self, msg): if msg.states: self.left_collision = True string = msg.states[0].collision1_name string_collision = re.findall(r'::(.+?)::',string)[0] # print("Left String_collision: ", string_collision) if string_collision in self.finger_links: string = msg.states[0].collision2_name # print("Left Real string (object): ", string) self.string = re.findall(r'::(.+?)::', string)[0] # print("Left before: ", self.string) else: self.string = string_collision # print("Left in else: ", string_collision) else: self.left_collision = False def monitor_contacts_right_finger_callback(self, msg): if msg.states: self.right_collision = True string = msg.states[0].collision1_name string_collision = re.findall(r'::(.+?)::',string)[0] # print("Right String_collision: ", string_collision) if string_collision in self.finger_links: string = msg.states[0].collision2_name # print("Right Real string (object): ", string) self.string = re.findall(r'::(.+?)::',string)[0] # print("Right before: ", self.string) else: self.string = string_collision # print("Right in else: ", self.string) else: self.right_collision = False def delete_model_service_method(self): """ Delete a model in Gazebo """ string = self.string model = string.replace("_link", "") self.delete_model_service(model) def ur5_actual_position_callback(self, joint_values_from_ur5): """Get UR5 joint angles The joint states published by /joint_staes of the UR5 robot are in wrong order. /joint_states topic normally publishes the joint in the following order: [elbow_joint, shoulder_lift_joint, shoulder_pan_joint, wrist_1_joint, wrist_2_joint, wrist_3_joint] But the correct order of the joints that must be sent to the robot is: ['shoulder_pan_joint', 'shoulder_lift_joint', 'elbow_joint', 'wrist_1_joint', 'wrist_2_joint', 'wrist_3_joint'] Arguments: joint_values_from_ur5 {list} -- Actual angles of the UR5 Robot """ if self.args.gazebo: self.th3, self.robotic, self.th2, self.th1, self.th4, self.th5, self.th6 = joint_values_from_ur5.position # print("Robotic angle: ", self.robotic) else: self.th3, self.th2, self.th1, self.th4, self.th5, self.th6 = joint_values_from_ur5.position self.actual_position = [self.th1, self.th2, self.th3, self.th4, self.th5, self.th6] def get_model_state_callback(self, msg): self.object_picking() def ggcnn_command_callback(self, msg): """ GGCNN Command Subscriber Callback """ self.tf.waitForTransform("base_link", "object_detected", rospy.Time.now(), rospy.Duration(4.0)) object_pose, object_ori = self.tf.lookupTransform("base_link", "object_detected", rospy.Time(0)) self.d = list(msg.data) object_pose[0] += self.offset_x object_pose[1] += self.offset_y object_pose[2] += self.offset_z self.posCB = object_pose self.ori = self.d[3] br = TransformBroadcaster() br.sendTransform((object_pose[0], object_pose[1], object_pose[2]), quaternion_from_euler(0.0, 0.0, self.ori), rospy.Time.now(), "object_link", "base_link") def get_link_position_picking(self): link_name = self.string model_coordinates = self.get_model_coordinates(self.string, 'wrist_3_link') self.model_pose_picking = model_coordinates.link_state.pose def reset_link_position_picking(self): self.string = "" def object_picking(self): global PICKING if PICKING: angle = quaternion_from_euler(1.57, 0.0, 0.0) object_picking = LinkState() object_picking.link_name = self.string object_picking.pose = Pose(self.model_pose_picking.position, self.model_pose_picking.orientation) object_picking.reference_frame = "wrist_3_link" self.pub_model_position.publish(object_picking) def get_ik(self, pose): """Get the inverse kinematics Get the inverse kinematics of the UR5 robot using track_IK package giving a desired intial pose Arguments: pose {list} -- A pose representing x, y and z Returns: sol {list} -- Joint angles or None if track_ik is not able to find a valid solution """ camera_support_angle_offset = 0.0 q = quaternion_from_euler(0.0, -3.14 + camera_support_angle_offset, 0.0) # Joint order: # ('shoulder_link', 'upper_arm_link', 'forearm_link', 'wrist_1_link', 'wrist_2_link', 'wrist_3_link', 'grasping_link') ik_solver = IK("base_link", "grasping_link", solve_type="Distance") sol = ik_solver.get_ik([0.2201039360819781, -1.573845095552878, -1.521853400505349, -1.6151347051274518, 1.5704492904506875, 0.0], pose[0], pose[1], pose[2], q[0], q[1], q[2], q[3]) if sol is not None: sol = list(sol) sol[-1] = 0.0 return sol def __build_goal_message_ur5(self): goal = FollowJointTrajectoryGoal() goal.trajectory = JointTrajectory() goal.trajectory.joint_names = self.ur5_joint_names goal.goal_tolerance.append(JointTolerance('joint_tolerance', 0.1, 0.1, 0)) goal.goal_time_tolerance = rospy.Duration(5,0) return goal def traj_planner(self, cart_pos, grasp_step='move', way_points_number=10, movement='slow'): """Quintic Trajectory Planner Publish a trajectory to UR5 using quintic splines. Arguments: cart_pos {[float]} -- Grasp position [x, y, z] Keyword Arguments: grasp_step {str} -- Set UR5 movement type (default: {'move'}) way_points_number {number} -- Number of points considered in trajectory (default: {10}) movement {str} -- Movement speed (default: {'slow'}) """ if grasp_step == 'pregrasp': self.grasp_cartesian_pose = deepcopy(self.posCB) self.grasp_cartesian_pose[-1] += 0.1 joint_pos = self.get_ik(self.grasp_cartesian_pose) joint_pos[-1] = self.ori self.final_orientation = deepcopy(self.ori) self.gripper_angle_grasp = deepcopy(self.d[-2]) elif grasp_step == 'grasp': self.grasp_cartesian_pose[-1] -= 0.1 joint_pos = self.get_ik(self.grasp_cartesian_pose) joint_pos[-1] = self.final_orientation elif grasp_step == 'move': joint_pos = self.get_ik(cart_pos) joint_pos[-1] = 0.0 if movement=='slow': final_traj_duration = 500.0 # total iteractions elif movement=='fast': final_traj_duration = 350.0 v0 = a0 = vf = af = 0 t0 = 5.0 tf = (t0 + final_traj_duration) / way_points_number # tf by way point t = tf / 10 # for each movement ta = tf / 10 # to complete each movement a = [0.0]*6 pos_points, vel_points, acc_points = [0.0]*6, [0.0]*6, [0.0]*6 goal = self.__build_goal_message_ur5() for i in range(6): q0 = self.actual_position[i] qf = joint_pos[i] b = np.array([q0,v0,a0,qf,vf,af]).transpose() m = np.array([[1, t0, t0**2, t0**3, t0**4, t0**5], [0, 1, 2*t0, 3*t0**2, 4*t0**3, 5*t0**4], [0, 0, 2, 6*t0, 12*t0**2, 20*t0**3], [1, tf, tf**2, tf**3, tf**4, tf**5], [0, 1, 2*tf, 3*tf**2, 4*tf**3, 5*tf**4], [0, 0, 2, 6*tf, 12*tf**2, 20*tf**3]]) a[i] = np.linalg.inv(m).dot(b) for i in range(way_points_number): for j in range(6): pos_points[j] = a[j][0] + a[j][1]*t + a[j][2]*t**2 + a[j][3]*t**3 + a[j][4]*t**4 + a[j][5]*t**5 vel_points[j] = a[j][1] + 2*a[j][2]*t + 3*a[j][3]*t**2 + 4*a[j][4]*t**3 + 5*a[j][5]*t**4 acc_points[j] = 2*a[j][2] + 6*a[j][3]*t + 12*a[j][4]*t**2 + 20*a[j][5]*t**3 goal.trajectory.points.append(JointTrajectoryPoint(positions=pos_points, velocities=vel_points, accelerations=acc_points, time_from_start=rospy.Duration(t))) #default 0.1*i + 5 t += ta self.client.send_goal(goal) self.all_close(joint_pos) def all_close(self, goal, tolerance=0.00005): """Wait until goal is reached in configuration space This method check if the robot reached goal position since wait_for_result seems to be broken Arguments: goal {[list]} -- Goal in configuration space (joint values) Keyword Arguments: tolerance {number} -- Minimum error allowed to consider the trajectory completed (default: {0.00005}) """ error = np.sum([(self.actual_position[i] - goal[i])**2 for i in range(6)]) rospy.loginfo("Waiting for trajectory.") while not rospy.is_shutdown() and error > tolerance: error = np.sum([(self.actual_position[i] - goal[i])**2 for i in range(6)]) if error < tolerance: rospy.loginfo("Trajectory Suceeded.") # whithin the tolerance specified else: rospy.logerr("Trajectory aborted.") def genCommand(self, char, command, pos=None): """ Update the command according to the character entered by the user. """ if char == 'a': # command = outputMsg.Robotiq2FGripper_robot_output(); command.rACT = 1 # Gripper activation command.rGTO = 1 # Go to position request command.rSP = 255 # Speed command.rFR = 150 # Force if char == 'r': command.rACT = 0 if char == 'c': command.rACT = 1 command.rGTO = 1 command.rATR = 0 command.rPR = 255 command.rSP = 40 command.rFR = 150 # @param pos Gripper width in meters. [0, 0.087] if char == 'p': command.rACT = 1 command.rGTO = 1 command.rATR = 0 command.rPR = int(np.clip((13.-230.)/self.gripper_max_width * self.ori + 230., 0, 255)) command.rSP = 40 command.rFR = 150 if char == 'o': command.rACT = 1 command.rGTO = 1 command.rATR = 0 command.rPR = 0 command.rSP = 40 command.rFR = 150 return command def command_gripper(self, action): command = outputMsg.Robotiq2FGripper_robot_output(); command = self.genCommand(action, command) self.pub_gripper_command.publish(command) def gripper_send_position_goal(self, position=0.3, velocity=0.4, action='move'): """Send position goal to the gripper Keyword Arguments: position {float} -- Gripper angle (default: {0.3}) velocity {float} -- Gripper velocity profile (default: {0.4}) action {str} -- Gripper movement (default: {'move'}) """ self.turn_gripper_position_controller_on() duration = 0.2 if action == 'pre_grasp_angle': max_distance = 0.085 angular_coeff = 0.11 K = 1.3 angle = (max_distance - self.gripper_angle_grasp) / angular_coeff * K position = angle velocity = 0.4 elif action == 'pick': position = 0.7 velocity = 0.05 duration = 8.0 goal = FollowJointTrajectoryGoal() goal.trajectory = JointTrajectory() goal.trajectory.joint_names = self.robotiq_joint_name goal.trajectory.points.append(JointTrajectoryPoint(positions=[position], velocities=[velocity], accelerations=[0.0], time_from_start=rospy.Duration(duration))) self.client_gripper.send_goal(goal) if action == 'pick': while not rospy.is_shutdown() and not self.left_collision and not self.right_collision: pass self.client_gripper.cancel_goal() def move_home_on_shutdown(self): self.client.cancel_goal() # self.client_gripper.cancel_goal() rospy.loginfo("Shutting down node...") def main(): global PICKING arg = parse_args() ur5_vel = vel_control(arg) point_init_home = [-0.37, 0.11, 0.15] joint_values_home = ur5_vel.get_ik(point_init_home) ur5_vel.joint_values_home = joint_values_home # Send the robot to the custom HOME position raw_input("==== Press enter to 'home' the robot!") rospy.on_shutdown(ur5_vel.move_home_on_shutdown) ur5_vel.traj_planner(point_init_home, movement='fast') # Remove all objects from the scene and press enter raw_input("==== Press enter to move the robot to the 'depth cam shot' position!") point_init = [-0.37, 0.11, 0.05] ur5_vel.traj_planner(point_init, movement='fast') if arg.gazebo: rospy.loginfo("Starting the gripper in Gazebo! Please wait...") ur5_vel.gripper_send_position_goal(0.4) else: rospy.loginfo("Starting the real gripper! Please wait...") ur5_vel.command_gripper('r') rospy.sleep(0.5) ur5_vel.command_gripper('a') ur5_vel.command_gripper('o') while not rospy.is_shutdown(): raw_input("==== Press enter to move to the pre grasp position!") ur5_vel.traj_planner(point_init, 'pregrasp', movement='fast') # It closes the gripper before approaching the object # It prevents the gripper to collide with other objects when grasping raw_input("==== Press enter start the grasping process!") if arg.gazebo: ur5_vel.gripper_send_position_goal(action='pre_grasp_angle') else: ur5_vel.command_gripper('p') # Generate the trajectory to the grasp position # BE CAREFUL! ur5_vel.traj_planner([], 'grasp', movement='slow') rospy.loginfo("Picking object") if arg.gazebo: ur5_vel.gripper_send_position_goal(action='pick') ur5_vel.get_link_position_picking() else: raw_input("==== Press enter to close the gripper!") ur5_vel.command_gripper('c') rospy.loginfo("Moving object to the bin") # After a collision is detected, the arm will start the picking action PICKING = True # Attach object ur5_vel.traj_planner([-0.45, 0.0, 0.15], movement='fast') ur5_vel.traj_planner([-0.45, -0.16, 0.15], movement='fast') ur5_vel.traj_planner([-0.45, -0.16, 0.08], movement='slow') # Be careful when approaching the bin rospy.loginfo("Placing object") # After the bin location is reached, the robot will place the object and move back # to the initial position PICKING = False # Detach object if arg.gazebo: ur5_vel.gripper_send_position_goal(0.3) ur5_vel.delete_model_service_method() ur5_vel.reset_link_position_picking() else: ur5_vel.command_gripper('o') rospy.loginfo("Moving back to home position") ur5_vel.traj_planner([-0.45, -0.16, 0.15], movement='fast') ur5_vel.traj_planner(point_init_home, movement='fast') ur5_vel.traj_planner(point_init, movement='slow') if __name__ == '__main__': try: main() except rospy.ROSInterruptException: print "Program interrupted before completion"

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null

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null

0

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0

1

89a1c74f6ff7daea200b8e6b6423ed86d7bc83ec

2,936

py

Python

certbot_dns_corenetworks/test/unit/test_dns_corenetwork.py

xoxys/certbot-dns-ispconfig

8d5c0a9df72342ce55db6469d10cdd69ce3bb024

[ "MIT" ]

1

2021-03-19T00:29:39.000Z

certbot_dns_corenetworks/test/unit/test_dns_corenetwork.py

xoxys/certbot-dns-ispconfig

8d5c0a9df72342ce55db6469d10cdd69ce3bb024

[ "MIT" ]

6

2020-11-11T21:32:23.000Z

2021-03-20T16:00:17.000Z

certbot_dns_corenetworks/test/unit/test_dns_corenetwork.py

thegeeklab/certbot-dns-corenetworks

8d5c0a9df72342ce55db6469d10cdd69ce3bb024

[ "MIT" ]

null

"""Tests for certbot_dns_corenetworks.dns_corenetworks.""" import unittest import mock from certbot import errors from certbot.compat import os from certbot.plugins import dns_test_common from certbot.plugins.dns_test_common import DOMAIN from certbot.tests import util as test_util API_USER = "my_user" API_PASSWORD = "secure" class AuthenticatorTest(test_util.TempDirTestCase, dns_test_common.BaseAuthenticatorTest): """Test for Hetzner DNS Authenticator.""" def setUp(self): from certbot_dns_corenetworks.dns_corenetworks import Authenticator super(AuthenticatorTest, self).setUp() path = os.path.join(self.tempdir, "file.ini") dns_test_common.write({ "corenetworks_username": API_USER, "corenetworks_password": API_PASSWORD }, path) self.config = mock.MagicMock( corenetworks_credentials=path, corenetworks_propagation_seconds=0 ) # don't wait during tests self.auth = Authenticator(self.config, "corenetworks") self.mock_client = mock.MagicMock() self.auth._get_corenetworks_client = mock.MagicMock(return_value=self.mock_client) def test_perform(self): self.auth.perform([self.achall]) expected = [ mock.call.add_txt_record(DOMAIN, "_acme-challenge." + DOMAIN, mock.ANY, mock.ANY) ] self.assertEqual(expected, self.mock_client.mock_calls) def test_cleanup(self): self.auth.nameCache["_acme-challenge." + DOMAIN] = "_acme-challenge." + DOMAIN self.auth._attempt_cleanup = True self.auth.cleanup([self.achall]) expected = [mock.call.del_txt_record(DOMAIN, "_acme-challenge." + DOMAIN, mock.ANY)] self.assertEqual(expected, self.mock_client.mock_calls) def test_creds(self): dns_test_common.write({ "corenetworks_username": API_USER, "corenetworks_password": API_PASSWORD }, self.config.corenetworks_credentials) self.auth.perform([self.achall]) expected = [ mock.call.add_txt_record(DOMAIN, "_acme-challenge." + DOMAIN, mock.ANY, mock.ANY) ] self.assertEqual(expected, self.mock_client.mock_calls) def test_no_creds(self): dns_test_common.write({}, self.config.corenetworks_credentials) self.assertRaises(errors.PluginError, self.auth.perform, [self.achall]) def test_missing_user_or_password(self): dns_test_common.write({"corenetworks_username": API_USER}, self.config.corenetworks_credentials) self.assertRaises(errors.PluginError, self.auth.perform, [self.achall]) dns_test_common.write({"corenetworks_password": API_PASSWORD}, self.config.corenetworks_credentials) self.assertRaises(errors.PluginError, self.auth.perform, [self.achall]) if __name__ == "__main__": unittest.main()

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0.103448

false

0.086207

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0.258621

0

null

0

null

0

1

0

1

89a5c2838a442d78a5960f630f0b8be24007cf8e

1,405

py

Python

src/calrissian/regularization/regularize_orthogonal.py

awlange/brainsparks

05baff28da347172083672c940406f5696893201

[ "MIT" ]

3

2015-10-30T04:04:02.000Z

2020-02-13T19:08:42.000Z

src/calrissian/regularization/regularize_orthogonal.py

awlange/brainsparks

05baff28da347172083672c940406f5696893201

[ "MIT" ]

null

src/calrissian/regularization/regularize_orthogonal.py

awlange/brainsparks

05baff28da347172083672c940406f5696893201

[ "MIT" ]

null

import numpy as np class RegularizeOrthogonal(object): """ Orthogonal """ def __init__(self, coeff_lambda=0.0): self.coeff_lambda = coeff_lambda def cost(self, layers): c = 0.0 for layer in layers: wt = layer.w.transpose() for j in range(layer.output_size): wtj = wt[j] / np.sqrt(wt[j].dot(wt[j])) for k in range(layer.output_size): if j == k: continue wtk = wt[k] / np.sqrt(wt[k].dot(wt[k])) c += np.abs(wtj.dot(wtk)) return self.coeff_lambda * c def cost_gradient(self, layers, dc_db, dc_dw): for l, layer in enumerate(layers): wt = layer.w.transpose() tmp = np.zeros_like(wt) for j in range(layer.output_size): dj = np.sqrt(wt[j].dot(wt[j])) wtj = wt[j] / dj # TODO: simplify this s = 2 * (np.eye(len(wtj)) - np.outer(wtj, wtj)) / dj for k in range(layer.output_size): if j == k: continue dk = np.sqrt(wt[k].dot(wt[k])) wtk = wt[k] / dk tmp[j] += wtk.dot(s) * np.sign(wtj.dot(wtk)) dc_dw[l] += self.coeff_lambda * tmp.transpose() return dc_db, dc_dw

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0.414235

1,405

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false

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null

0

null

0

1

0

1

89a6fed9b1397a9b14c141ea4b85328623a63382

7,839

py

Python

data/external/repositories/113677/KaggleBillionWordImputation-master/scripts/util.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

null

data/external/repositories/113677/KaggleBillionWordImputation-master/scripts/util.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

null

data/external/repositories/113677/KaggleBillionWordImputation-master/scripts/util.py

Keesiu/meta-kaggle

87de739aba2399fd31072ee81b391f9b7a63f540

[ "MIT" ]

1

2019-12-04T08:23:33.000Z

import sys, bisect from collections import defaultdict from itertools import islice, izip import numpy as np from scipy.misc import logsumexp from scipy.spatial import distance import Levenshtein PUNCTUATION = set(("'", '"', ',', '.', '!', '?', ';', ':', '-', '--', '(', ')', '/', '_', '\\', '+', '<', '>', '|', '@', '#', '$', '%', '^', '&', '*', '[', ']', '{', '}')) POS_TAGS = set(('UH','WP$','PDT','RBS','LS','EX','WP','$','SYM','RP','CC','RBR','VBG','NNS','CD','PRP$','MD','DT','NNPS','VBD','IN','JJS','WRB','VBN','JJR','WDT','POS','TO','NNP','JJ','RB','VB','FW','PRP','VBZ','NN','VBP')) UNKNOWN = '<unknown>' def is_punctuation(word): return (word in PUNCTUATION) def is_number(word): try: x = float(word) return True except: return False def is_pos_tag(word): return (word in POS_TAGS) def window(seq, n=2): "Returns a sliding window (of width n) over data from the iterable" " s -> (s0,s1,...s[n-1]), (s1,s2,...,sn), ... " it = iter(seq) result = tuple(islice(it, n)) if len(result) == n: yield result for elem in it: result = result[1:] + (elem,) yield result def tokenize_words(line, delim=' '): return line.rstrip().split(delim) def pos_tag(word): return word.rsplit('_', 1)[-1] def ngram_frequencies(istream, n=1): counts = defaultdict(int) for i, line in enumerate(istream): if i % 100000 == 0: print >>sys.stderr, i words = tokenize_words(line) for ngram in window(words, n): counts[ngram] += 1 return counts def words2ids(words, idmap): ids = [] for word in words: if word not in idmap: idmap[word] = len(idmap) ids.append(idmap[word]) return ids def ngram_frequencies2(istream, n=1): unigrams = dict() counts = defaultdict(int) for i, line in enumerate(istream): if i % 100000 == 0: print >>sys.stderr, "Line %d (%d 1-grams, %d %d-grams)" \ % (i, len(unigrams), len(counts), n) words = tokenize_words(line) ids = words2ids(words, unigrams) for ngram in window(ids, n): counts[ngram] += 1 id2word = {v: k for k, v in unigrams.iteritems()} del unigrams return counts, id2word def load_vocab(vocab_file): vocab = {} for line in vocab_file: word, freq = line.strip().split('\t') freq = int(freq) vocab[word] = freq return vocab def prune_vocab(vocab, n): nwords = sum(v for v in vocab.itervalues()) nvocab = len(vocab) print >>sys.stderr, "Input has nwords = %s, vocab size = %d" \ % (nwords, nvocab) vocab = [(v,k) for k,v in vocab.iteritems()] vocab = list(reversed(sorted(vocab))) vocab = vocab[:n] vocab = {k: v for v, k in vocab} nremaining = sum(v for v in vocab.itervalues()) percent_kept = float(len(vocab)) / nvocab percent_mass = float(nremaining) / nwords print >>sys.stderr, "Keeping %d words (%.2f%% of vocab, %.2f%% of mass)" \ % (len(vocab), 100*percent_kept, 100*percent_mass) return vocab def score(golden, predicted): total_d = 0.0 n = 0 for ref, pred in izip(golden, predicted): total_d += Levenshtein.distance(ref, pred) n += 1 return total_d / n def estimate_probabilities(ngrams): # no smoothing; if we didn't see it in train, best not insert ntotal = float(sum(ngrams.itervalues())) print "%d total syntactic ngrams" % ntotal p = {k: np.log10(v/ntotal) for k, v in ngrams.iteritems()} print "Total probability = %f" % sum(10.**v for v in p.itervalues()) return p normalize_ngrams = estimate_probabilities class Word2Vec(object): def __init__(self, words, V): self.words = words self.word_to_id = {w: i for i, w in enumerate(self.words)} self.V = V @classmethod def load(cls, istream): # first line indicates # words and dimension of vectors header = istream.readline().rstrip().split() nwords = int(header[0]) d = int(header[1]) print >>sys.stderr, "Allocating %dx%d word vector matrix" \ % (nwords, d) words = [] V = np.zeros((nwords,d), dtype=np.float32) # subsequent lines have word and vector print >>sys.stderr, "Loading word vectors" for i, line in enumerate(istream): entry = line.rstrip().split() word = entry[0] words.append(word) V[i] = map(float, entry[1:]) if i % 500000 == 0: print >>sys.stderr, i return cls(words, V) def get(self, word): '''get vector for word''' if word not in self.word_to_id: raise ValueError("Word2Vec does not contain '%s'" % word) id = self.word_to_id[word] return self.V[id] def nearest(self, word, indices=None): '''yield words in ascending order of distance to @word''' # compute distance from word to all other words # too much memory to precompute all of these ahead of time # and vector dimension is too large for a KD-tree to be much help word_vec = np.array(self.get(word), ndmin=2) V = self.V if indices is None else self.V[indices] d = distance.cdist(word_vec, V)[0] for i in np.argsort(d): w = self.words[i] # element 0 is this word (d=0) if this word is in indices # but not this word if this word is not in indices if w == word: continue yield w class Prediction(object): keep_top_n = 5 def __init__(self, word, locations, Z, Z_location, *args): self.word = word self.locations = locations self.Z = Z self.Z_location = Z_location self.p_anywhere = args[:self.keep_top_n] self.p_at_location = args[self.keep_top_n:2*self.keep_top_n] self.p_at_other_location = args[2*self.keep_top_n:3*self.keep_top_n] self.p_surrounding = args[3*self.keep_top_n:] #assert self.p_anywhere[0] == self.p_at_location[0] #assert self.p_at_location[0] != self.p_at_other_location[0] @property def location(self): return self.locations[0] @property def order(self): return len(self.p_surrounding) @property def location_posterior(self): return 10.**(self.Z_location - self.Z) @property def word_posterior(self): return 10.**(self.p_at_location[0] - self.Z) @property def location_ratio(self): return self.p_at_location[0] - self.p_at_other_location[0] @property def word_ratio(self): return self.p_at_location[0] - self.p_at_location[1] @classmethod def parse(cls, line): entry = line.rstrip().split('\t') word = entry[0] # locations loc = map(int, entry[1:cls.keep_top_n]) # probabilities for i in xrange(cls.keep_top_n+1, len(entry)): entry[i] = float(entry[i]) return cls(word, loc, *entry[cls.keep_top_n+1:]) class TopK(object): '''Keep track the top-k objects''' def __init__(self, n): self.things = [None] * n self.values = [float('inf')] * n def add(self, thing, value): i = bisect.bisect(self.values, -value) if i < len(self.values): self.values[i] = -value self.things[i] = thing def update(self, other): for thing, value in other: self.add(thing, -value) def __iter__(self): return izip(self.things, self.values)

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null

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null

0

1

0

1

89a8b28d63bb94947dfc6a9846e9c93c4d60b60d

845

py

Python

creatDjangoApp1/accounts/migrations/0006_auto_20201130_2119.py

imxiaow/django-xw-project

06d97b7d3701422b08720e00e87f6c471461c19a

[ "MIT" ]

1

2020-11-25T17:33:31.000Z

creatDjangoApp1/accounts/migrations/0006_auto_20201130_2119.py

imxiaow/django-xw-project

06d97b7d3701422b08720e00e87f6c471461c19a

[ "MIT" ]

null

creatDjangoApp1/accounts/migrations/0006_auto_20201130_2119.py

imxiaow/django-xw-project

06d97b7d3701422b08720e00e87f6c471461c19a

[ "MIT" ]

null

# Generated by Django 3.1.3 on 2020-11-30 21:19 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('accounts', '0005_auto_20201130_1450'), ] operations = [ migrations.AddField( model_name='order', name='note', field=models.CharField(max_length=200, null=True), ), migrations.AlterField( model_name='order', name='status', field=models.CharField(choices=[('Pending', 'Pending'), ('Out for delivery', 'Out for delivery'), ('Delivered', 'Delivered')], max_length=200, null=True), ), migrations.AlterField( model_name='product', name='description', field=models.CharField(blank=True, max_length=200, null=True), ), ]

29.137931

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null

0

1

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null

0

1

89a8d67890dba5fcad6eb3055086bfd2d086adc8

647

py

Python

HelloWorld/guessinggame.py

zahraaliaghazadeh/python

2f2d0141a916c99e8724f803bd4e5c7246a7a02e

[ "MIT" ]

null

HelloWorld/guessinggame.py

zahraaliaghazadeh/python

2f2d0141a916c99e8724f803bd4e5c7246a7a02e

[ "MIT" ]

null

HelloWorld/guessinggame.py

zahraaliaghazadeh/python

2f2d0141a916c99e8724f803bd4e5c7246a7a02e

[ "MIT" ]

null

# answer = 5 # print("please guess number between 1 and 10: ") # guess = int(input()) # # if guess < answer: # print("Please guess higher") # elif guess > answer: # print ( "Please guess lower") # else: # print("You got it first time") answer = 5 print ("Please guess number between 1 and 10: ") guess = int(input()) # when there is : we indent the code if guess != answer: if guess < answer: print("Please guess higher") guess = int(input()) if guess == answer: print("Well done, you guessed it") else: print("Sorry, you have not guessed correctly") else: print("You got it first time")

23.107143

54

0.615147

91

647

4.373626

0.395604

0.138191

0.201005

0.135678

0.728643

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0.276382

0

0.016598

0.255023

647

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0.384615

0

null

0

1

0

null

0

1

89ad3ad12dbbb7451941460b3c2d3ac8663e01da

1,370

py

Python

deprecated_examples_robust/multimedia/avmnist_MFM_robust.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

[ "MIT" ]

null

deprecated_examples_robust/multimedia/avmnist_MFM_robust.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

[ "MIT" ]

null

deprecated_examples_robust/multimedia/avmnist_MFM_robust.py

TianhaoFu/MultiBench

b174a3187124d6f92be1ff3b487eef292f7883bb

[ "MIT" ]

null

import sys import os sys.path.append(os.path.dirname(os.path.dirname(os.getcwd()))) from training_structures.MFM import train_MFM,test_MFM from fusions.common_fusions import Concat from unimodals.MVAE import LeNetEncoder,DeLeNet from unimodals.common_models import MLP from torch import nn import torch from objective_functions.recon import recon_weighted_sum,sigmloss1dcentercrop from datasets.avmnist.get_data_robust import get_dataloader filename='avmnist_MFM_robust_best.pt' traindata, validdata, testdata, robustdata = get_dataloader('../../../../yiwei/avmnist/_MFAS/avmnist') channels=6 classes=10 n_latent=200 fuse=Concat() encoders=[LeNetEncoder(1,channels,3,n_latent,twooutput=False).cuda(),LeNetEncoder(1,channels,5,n_latent,twooutput=False).cuda()] decoders=[DeLeNet(1,channels,3,n_latent).cuda(),DeLeNet(1,channels,5,n_latent).cuda()] intermediates=[MLP(n_latent,n_latent//2,n_latent//2).cuda(),MLP(n_latent,n_latent//2,n_latent//2).cuda(),MLP(2*n_latent,n_latent,n_latent//2).cuda()] head=MLP(n_latent//2,40,classes).cuda() recon_loss=recon_weighted_sum([sigmloss1dcentercrop(28,34),sigmloss1dcentercrop(112,130)],[1.0,1.0]) train_MFM(encoders,decoders,head,intermediates,fuse,recon_loss,traindata,validdata,25,savedir=filename) model=torch.load(filename) print("Testing:") test_MFM(model,testdata) print("Robustness testing:") test(model,testdata)

37.027027

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0.170412

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1,370

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0

null

0

null

0

1

0

1

89b1a7985acccd182bc360d4370b40a665ed42c6

1,352

py

Python

pygame_template.py

Pittsy24/pygame_template

b72397a37610fc267870151e0141de0d15793b7c

[ "MIT" ]

null

pygame_template.py

Pittsy24/pygame_template

b72397a37610fc267870151e0141de0d15793b7c

[ "MIT" ]

null

pygame_template.py

Pittsy24/pygame_template

b72397a37610fc267870151e0141de0d15793b7c

[ "MIT" ]

null

#!/usr/bin/python3 # By Joseph Pitts import sys import random import pygame from pygame.locals import * class Colours: BLACK = (0, 0, 0) WHITE = (255, 255, 255) AQUA = (0, 255, 255) GREY = (128, 128, 128) NAVY = (0, 0, 128) SILVER = (192, 192 ,192) GREEN = (0, 128, 0) OLIVE = (128, 128, 0) TEAL = (0, 128, 128) BLUE = (0, 0, 255) LIME = (0, 255, 0) PURPLE = (128, 0, 128) FUCHSIA = (255, 0, 255) MAROON = (128, 0, 0) RED = (255, 0, 0) YELLOW = (255, 255, 0) @staticmethod def RANDOM(): return (random.randrange(0, 255), random.randrange(0, 255), random.randrange(0, 255)) class PyGame(object): def __init__(self, width = 640, height = 480): pygame.init() self.fps = 60 self.fpsClock = pygame.time.Clock() self.width, self.height = width, height self.screen = pygame.display.set_mode((self.width, self.height)) def game_loop(self): self.screen.fill(Colours.BLACK) for event in pygame.event.get(): if event.type == QUIT: pygame.quit() sys.exit() pygame.display.flip() fpsClock.tick(fps) def run(self): while True: self.game_loop()

23.719298

94

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0.082969

0

0.140251

0.351331

1,352

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0

1

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false

0

0.095238

0.02381

0.642857

0

null

0

null

0

1

0

1

89bb8aec70dc5ddd26138767ff03178f1d8f86d1

830

py

Python

sdk/pyseele/clazz.py

rinkako/SeeleFlow

4b8858f367ef02a568c03c8114e1c1b221208feb

[ "MIT" ]

3

2019-12-20T13:32:34.000Z

2021-04-27T06:02:28.000Z

sdk/pyseele/clazz.py

rinkako/SeeleFlow

4b8858f367ef02a568c03c8114e1c1b221208feb

[ "MIT" ]

null

sdk/pyseele/clazz.py

rinkako/SeeleFlow

4b8858f367ef02a568c03c8114e1c1b221208feb

[ "MIT" ]

null

# -*- coding: UTF-8 -*- """ Project Seele @author : Rinka @date : 2019/12/17 """ from pyseele.workitem import Workitem class ResourcingContext: """ Resourcing Context maintains all org.rinka.seele.server.resource service principals that guide RS to handle the workitem. """ def __init__(self): # resourcing unique id self.rsid: str = None # process runtime unique id self.rtid: str = None # priority, bigger schedule faster self.priority: int = 0 # execution cost in ms self.execution_time_span: int = 0 # TODO: service type, indicate the action RS should do self.rs_type = None # TODO: resourcing context self.rs_properties: dict = None # binding workitem self.workitem: Workitem = None

23.055556

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0

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null

0

null

0

1

0

1

98241ad4baa33294d1ccb68f952b1b1217195b7e

10,405

py

Python

src/GG_ESB.py

CB1204/LapSimulation

7d7f7c43a6bc3db3dbf02050d939da3f17647c2c

[ "MIT" ]

7

2018-02-22T16:58:26.000Z

2022-02-05T18:17:56.000Z

src/GG_ESB.py

CB1204/LapSimulation

7d7f7c43a6bc3db3dbf02050d939da3f17647c2c

[ "MIT" ]

null

src/GG_ESB.py

CB1204/LapSimulation

7d7f7c43a6bc3db3dbf02050d939da3f17647c2c

[ "MIT" ]

2

2019-04-15T21:07:03.000Z

2021-05-11T07:41:49.000Z

from TwoDimLookup_motor import TwoDimLookup_motor from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt from scipy import interpolate import numpy as np ### Input Parameters # C_F = 27000 # Cornering stiffness front / Schräglaufsteifigkeit vorne [N/rad] - Is already for two wheels ! # C_R = 35000 # Cornering stiffness rear / Schräglaufsteifigkeit hinten [N/rad] - Is already for two wheels ! # m = 350 # Mass vehicle + driver [kg] # CoG_X = 0.65 # Actual position of CG (0 at front axis, 1 at rear axis) # # mu = 1.4 # Friction coefficient # alpha = 7.5 # Slip angle [deg] # DriveType = 2WD or 4WD # res = resolution = number of data points class GG_ESB_OneDim: def __init__(self, C_F, C_R, m, CoG_X, mu, alpha, DriveType): self.C_F = C_F self.C_R = C_R self.m = m self.CoG_X = CoG_X self.mu = mu self.alpha = alpha self.DriveType = DriveType # General constants self.deg2rad = np.pi/180 self.g = 9.81 def GG_ESB_ay_Max(self): # calculate ay max FY_F = self.alpha * self.deg2rad * self.C_F FY_R = self.alpha * self.deg2rad * self.C_R FY_ovr = FY_F + FY_R ay_max = FY_ovr / self.m #ay_max = 14 return ay_max def GG_ESB_ax_Max(self): # calculate ax max FZ_F = (1-self.CoG_X) * self.m * self.g FZ_R = self.CoG_X * self.m * self.g FX_F = self.mu * FZ_F FX_R = self.mu * FZ_R if self.DriveType == '2WD': FX_ovr = FX_R elif self.DriveType == '4WD': FX_ovr = FX_F + FX_R ax_max = FX_ovr / self.m #ax_max = 7 return ax_max def Plot_gg(self, ay_max, ax_max): # Calculate values resolution = 1000 ay = np.linspace((-1)*ay_max, ay_max, resolution) ax_upper =((1-(ay**2 / ay_max**2)) * ax_max**2)**0.5 if self.DriveType == '2WD': ax_lower = (-2) * ax_upper if self.DriveType == '4WD': ax_lower = (-1) * ax_upper ay = ay /self.g ax_U_inG = np.asarray(ax_upper)/self.g ax_L_inG = np.asarray(ax_lower)/self.g # # Plot g-g diagram # plt.plot(ay, ax_U_inG , 'b') # plt.plot(ay, ax_L_inG, 'b') # plt.xlabel('ay [g]' + '\n' + ('ay max: ' + str(np.round(ay_max/self.g,2)) + ' g'), fontsize = 16) # plt.ylabel('ax [g]' + '\n' + ('ax max: ' + str(np.round(ax_max/self.g,2)) + ' g'), fontsize = 16) # plt.title('g-g diagram', fontsize = 20, y=1.03) # plt.grid(True) # plt.show() ######################################################## class GG_ESB_TwoDim: def __init__(self, C_F, C_R, m, CoG_X, mu, alpha, CoP_X, C_la, rho, DriveType, gearRatio, tireRadius, fr, Lift2Drag ): self.C_F = C_F self.C_R = C_R self.m = m self.CoG_X = CoG_X self.mu = mu self.alpha = alpha self.CoP_X = CoP_X # = 0.61 self.C_la = C_la # = 3.52 m^2 self.rho = rho self.DriveType = DriveType #2WD or 4WD self.gearRatio = gearRatio self.tireRadius = tireRadius self.fr = fr self.Lift2Drag = Lift2Drag # General constants self.deg2rad = np.pi/180 self.g = 9.81 def GGV_Map(self): ax_upper_values = [] ax_lower_values = [] ay_values = [] speed_values =[] Speed_resolution = 200 ay_resolution = 500 # initialize speed VehicleSpeed = np.linspace(0.001, 50, Speed_resolution) #Speed in m/s #loop through different velocities for i in range(len(VehicleSpeed)): #find maximum lateral acceleration ay_max = self.GG_ESB_ay_Max() ay = np.linspace((-1)*ay_max, ay_max, ay_resolution) ax_max_upper = self.GG_ESB_ax_Max_upper(VehicleSpeed[i]) ax_up = [] for j in range(len(ay)): ax_up.append(((1-(ay[j]**2 / ay_max**2)) * ax_max_upper**2)**0.5) ax_max_lower = self.GG_ESB_ax_Max_lower(VehicleSpeed[i]) ax_low = [] for j in range(len(ay)): ax_low.append(-1*((1-(ay[j]**2 / ay_max**2)) * ax_max_lower**2)**0.5) speed = [] for j in range(len(ay)): speed.append(VehicleSpeed[i]) ax_upper_values.append(ax_up) ax_lower_values.append(ax_low) ay_values.append(ay) speed_values.append(speed) # Load Motor map motor = TwoDimLookup_motor(self.gearRatio, self.tireRadius, self.CoG_X, self.m, self.CoP_X, self.C_la, self.rho, self.fr, self.Lift2Drag, self.DriveType) ax_motor = motor.ax_motor(speed_values) # Replace ax values which are higher than ax_motor for i in range(len(ax_upper_values)): for j in range(len (ax_upper_values[i])): if ax_upper_values[i][j] > ax_motor[i]: ax_upper_values[i][j] = ax_motor[i] return ax_upper_values, ax_lower_values, ay_values, speed_values def GG_ESB_ay_Max(self): # calculate ay max FY_F = self.alpha * self.deg2rad * self.C_F FY_R = self.alpha * self.deg2rad * self.C_R FY_ovr = FY_F + FY_R ay_max = FY_ovr / self.m return ay_max def GG_ESB_ax_Max_upper(self, VehicleSpeed): # calculate ax max # Mass FZ_m_F = (1-self.CoG_X) * self.m * self.g FZ_m_R = self.CoG_X * self.m * self.g #Downforce FZ_d_F = (1-self.CoP_X) * self.C_la * 0.5*self.rho * VehicleSpeed**2 FZ_d_R = (self.CoP_X) * self.C_la * 0.5*self.rho * VehicleSpeed**2 # FZ ovr FZ_ovr_F = FZ_m_F + FZ_d_F FZ_ovr_R = FZ_m_R + FZ_d_R #FX FX_F = self.mu * FZ_ovr_F FX_R = self.mu * FZ_ovr_R if self.DriveType == '2WD': FX_ovr = FX_R elif self.DriveType == '4WD': FX_ovr = FX_F + FX_R ax_max_upper = FX_ovr / self.m return ax_max_upper def GG_ESB_ax_Max_lower(self, VehicleSpeed): # calculate ax max # Mass FZ_m_F = (1-self.CoG_X) * self.m * self.g FZ_m_R = self.CoG_X * self.m * self.g #Downforce FZ_d_F = (1-self.CoP_X) * self.C_la * 0.5*self.rho * VehicleSpeed**2 FZ_d_R = (self.CoP_X) * self.C_la * 0.5*self.rho * VehicleSpeed**2 # FZ ovr FZ_ovr_F = FZ_m_F + FZ_d_F FZ_ovr_R = FZ_m_R + FZ_d_R #FX FX_F = self.mu * FZ_ovr_F FX_R = self.mu * FZ_ovr_R #FX ovr FX_ovr = FX_F + FX_R ax_max_lower = FX_ovr / self.m return ax_max_lower def Plot_ggV(self, ax_upper_values, ax_lower_values, ay_values, speed_values ): fig = plt.figure() ax = fig.gca(projection='3d') surf_upper = ax.plot_surface(ay_values, speed_values, ax_upper_values, color = 'r') surf_lower = ax.plot_surface(ay_values, speed_values, ax_lower_values) ax.set_xlabel('ay [m/s^2]') ax.set_ylabel('speed [m/s]') ax.set_zlabel('ax [m/s^2]') plt.show() def Plot_Long_Speed_Distance(self): # Calculate motor VehicleSpeed = np.array([np.linspace(0.0001, 60, 200), np.zeros(200)]) VehicleSpeed = np.transpose(VehicleSpeed).tolist() Motor = TwoDimLookup_motor(self.gearRatio, self.tireRadius, self.CoG_X, self.m, self.CoP_X, self.C_la, self.rho, self.fr, self.Lift2Drag, self.DriveType) ax_Motor = Motor.ax_motor(VehicleSpeed) speed = np.linspace(0.0001, 60, 200) a = interpolate.interp1d(speed, ax_Motor, bounds_error=False, fill_value=0) #Calculate speed and distance v = [0.0001] s = [0] t = [0] delta_t = 0.005 # sec t_end = 6 while t[-1] <= t_end: a_v = a(v[-1]) v_t = a_v * delta_t + v[-1] s_t = 0.5 * a_v * delta_t**2 + v[-1] * delta_t + s[-1] v.append(v_t) s.append(s_t) t.append(t[-1] + delta_t) # Find important vehicle parameters # From 1 to 100 kph index1 = np.nonzero(np.asarray(v) <= 100/3.6) index_0to100 = np.max(index1) # Time for 75 m acceleration index2 = np.nonzero(np.asarray(s) <= 75) #print(index2) index_75m = np.max(index2) # Graphs # f, axarr = plt.subplots(2, sharex=True) # axarr[0].plot(t, v,'b', label = 'Vehicle speed', linewidth = 1.5) # axarr[0].plot(t[index_0to100], v[index_0to100], marker = '+', markersize = 15, markeredgewidth = 2.5, markerfacecolor = 'r', markeredgecolor = 'r', linestyle = 'None', label = 'Time from 0 to 100 kph: ' + str(np.round(t[index_0to100],2)) + ' s') # axarr[0].set_title('Vehicle Speed vs. Time') # axarr[0].set_xlabel('Time [s]') # axarr[0].set_ylabel('Vehicle speed [m/s]') # axarr[0].grid(True) # axarr[0].legend(numpoints=1, shadow=True, fancybox=True) # # axarr[1].plot(t, s, 'g', label = 'Driven Distance', linewidth = 1.5) # axarr[1].plot(t[index_75m], s[index_75m], marker = '+', markersize = 15, markeredgewidth = 2.5, markerfacecolor = 'r', markeredgecolor = 'r', linestyle = 'None', label = 'Time for 75 meters acceleration: ' + str(np.round(t[index_75m],2)) + ' s') # axarr[1].set_title('Driven Distance vs. Time') # axarr[1].set_xlabel('Time [s]') # axarr[1].set_ylabel('Driven Distance [m]') # axarr[1].grid(True) # axarr[1].legend(numpoints=1, shadow=True, fancybox=True) # # plt.show()

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null

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1

9827c78b55c36213e56e3cab4efb3a255d146830

21,718

py

Python

temboardui/plugins/monitoring/tools.py

pierrehilbert/temboard

d28bbe87329d3023774fe8c773b8b4ad50e09757

[ "PostgreSQL" ]

null

temboardui/plugins/monitoring/tools.py

pierrehilbert/temboard

d28bbe87329d3023774fe8c773b8b4ad50e09757

[ "PostgreSQL" ]

null

temboardui/plugins/monitoring/tools.py

pierrehilbert/temboard

d28bbe87329d3023774fe8c773b8b4ad50e09757

[ "PostgreSQL" ]

null

import logging from .model.orm import ( Check, Host, Instance, ) from .alerting import ( bootstrap_checks, check_specs, ) logger = logging.getLogger(__name__) def merge_agent_info(session, host_info, instances_info): """Update the host, instance and database information with the data received from the agent.""" try: # Try to get host_id, based on hostname host_info['host_id'] = get_host_id(session, host_info['hostname']) except Exception: # host not found pass host = Host.from_dict(host_info) # Insert or update host information session.merge(host) session.flush() session.commit() # Get host_id in any case host_id = get_host_id(session, host_info['hostname']) for instance_info in instances_info: # Only process instances marked as available, since only those # have complete information if instance_info['available']: try: # Try to get instance_id instance_info['instance_id'] = get_instance_id( session, host_id, instance_info['port'] ) except Exception: # instance not found pass instance_info['host_id'] = host_id inst = Instance.from_dict(instance_info) # Insert or update instance information session.merge(inst) session.flush() session.commit() return host def get_host_id(session, hostname): """ Get host_id from the hostname. """ query = """ SELECT host_id FROM monitoring.hosts WHERE hostname = :hostname """ result = session.execute(query, {"hostname": hostname}) try: return result.fetchone()[0] except Exception: raise Exception("Can't find host_id for \"%s\"" " in monitoring.hosts table." % hostname) def get_instance_id(session, host_id, port): """ Get instance from host_id and port. """ query = """ SELECT instance_id FROM monitoring.instances WHERE host_id = :host_id AND port = :port """ result = session.execute(query, {"host_id": host_id, "port": port}) try: return result.fetchone()[0] except Exception: raise Exception("Can't find instance_id for \"%s/%s\" " "in monitoring.instances table." % (host_id, port)) def check_agent_key(session, hostname, pg_data, pg_port, agent_key): query = """ SELECT agent_key FROM application.instances WHERE hostname = :hostname AND pg_data=:pgdata AND pg_port = :pgport LIMIT 1 """ result = session.execute( query, {"hostname": hostname, "pgdata": pg_data, "pgport": pg_port}) try: row = result.fetchone() if row[0] == agent_key: return except Exception: raise Exception("Can't find the instance \"%s\" " "in application.instances table." % hostname) raise Exception("Can't check agent's key.") def check_host_key(session, hostname, agent_key): query = """ SELECT agent_key FROM application.instances WHERE hostname = :hostname """ result = session.execute(query, {"hostname": hostname}) try: for row in result.fetchall(): if row[0] == agent_key: return except Exception: raise Exception("Can't find the instance \"%s\" " "in application.instances table." % hostname) raise Exception("Can't check agent's key.") def insert_metrics(session, host, agent_data, logger, hostname, port): try: # Find host_id & instance_id host_id = get_host_id(session, hostname) instance_id = get_instance_id(session, host_id, port) except Exception as e: logger.info("Unable to find host & instance IDs") logger.debug(agent_data) logger.exception(str(e)) session.rollback() return cur = session.connection().connection.cursor() for metric in agent_data.keys(): # Do not try to insert empty lines if len(agent_data[metric]) == 0: continue try: # Insert data if metric == 'sessions': for metric_data in agent_data['sessions']: query = """ INSERT INTO monitoring.metric_sessions_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['dbname'], ( None, metric_data['active'], metric_data['waiting'], metric_data['idle'], metric_data['idle_in_xact'], metric_data['idle_in_xact_aborted'], metric_data['fastpath'], metric_data['disabled'], metric_data['no_priv'] ) ) ) elif metric == 'xacts': for metric_data in agent_data['xacts']: query = """ INSERT INTO monitoring.metric_xacts_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['dbname'], ( None, str(metric_data['measure_interval']), metric_data['n_commit'], metric_data['n_rollback'] ) ) ) elif metric == 'locks': for metric_data in agent_data['locks']: query = """ INSERT INTO monitoring.metric_locks_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['dbname'], ( None, metric_data['access_share'], metric_data['row_share'], metric_data['row_exclusive'], metric_data['share_update_exclusive'], metric_data['share'], metric_data['share_row_exclusive'], metric_data['exclusive'], metric_data['access_exclusive'], metric_data['siread'], metric_data['waiting_access_share'], metric_data['waiting_row_share'], metric_data['waiting_row_exclusive'], metric_data['waiting_share_update_exclusive'], metric_data['waiting_share'], metric_data['waiting_share_row_exclusive'], metric_data['waiting_exclusive'], metric_data['waiting_access_exclusive'] ) ) ) elif metric == 'blocks': for metric_data in agent_data['blocks']: query = """ INSERT INTO monitoring.metric_blocks_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['dbname'], ( None, str(metric_data['measure_interval']), metric_data['blks_read'], metric_data['blks_hit'], metric_data['hitmiss_ratio'] ) ) ) elif metric == 'bgwriter': for metric_data in agent_data['bgwriter']: query = """ INSERT INTO monitoring.metric_bgwriter_current VALUES (%s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, ( None, str(metric_data['measure_interval']), metric_data['checkpoints_timed'], metric_data['checkpoints_req'], metric_data['checkpoint_write_time'], metric_data['checkpoint_sync_time'], metric_data['buffers_checkpoint'], metric_data['buffers_clean'], metric_data['maxwritten_clean'], metric_data['buffers_backend'], metric_data['buffers_backend_fsync'], metric_data['buffers_alloc'], metric_data['stats_reset'] ) ) ) elif metric == 'db_size': for metric_data in agent_data['db_size']: query = """ INSERT INTO monitoring.metric_db_size_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['dbname'], ( None, metric_data['size'] ) ) ) elif metric == 'tblspc_size': for metric_data in agent_data['tblspc_size']: query = """ INSERT INTO monitoring.metric_tblspc_size_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['spcname'], ( None, metric_data['size'] ) ) ) elif metric == 'filesystems_size': for metric_data in agent_data['filesystems_size']: query = """ INSERT INTO monitoring.metric_filesystems_size_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], host_id, metric_data['mount_point'], ( None, metric_data['used'], metric_data['total'], metric_data['device'] ) ) ) elif metric == 'temp_files_size_tblspc': for metric_data in agent_data['temp_files_size_tblspc']: query = """ INSERT INTO monitoring.metric_temp_files_size_tblspc_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['spcname'], ( None, metric_data['size'] ) ) ) elif metric == 'temp_files_size_db': for metric_data in agent_data['temp_files_size_db']: query = """ INSERT INTO monitoring.metric_temp_files_size_db_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['dbname'], ( None, metric_data['size'] ) ) ) elif metric == 'wal_files': for metric_data in agent_data['wal_files']: query = """ INSERT INTO monitoring.metric_wal_files_current VALUES (%s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, ( None, str(metric_data['measure_interval']), metric_data['written_size'], metric_data['current_location'], metric_data['total'], metric_data['archive_ready'], metric_data['total_size'] ) ) ) elif metric == 'cpu': for metric_data in agent_data['cpu']: query = """ INSERT INTO monitoring.metric_cpu_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], host_id, metric_data['cpu'], ( None, str(metric_data['measure_interval']), metric_data['time_user'], metric_data['time_system'], metric_data['time_idle'], metric_data['time_iowait'], metric_data['time_steal'] ) ) ) elif metric == 'process': for metric_data in agent_data['process']: query = """ INSERT INTO monitoring.metric_process_current VALUES (%s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], host_id, ( None, str(metric_data['measure_interval']), metric_data['context_switches'], metric_data['forks'], metric_data['procs_running'], metric_data['procs_blocked'], metric_data['procs_total'] ) ) ) elif metric == 'memory': for metric_data in agent_data['memory']: query = """ INSERT INTO monitoring.metric_memory_current VALUES (%s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], host_id, ( None, metric_data['mem_total'], metric_data['mem_used'], metric_data['mem_free'], metric_data['mem_buffers'], metric_data['mem_cached'], metric_data['swap_total'], metric_data['swap_used'] ) ) ) elif metric == 'loadavg': for metric_data in agent_data['loadavg']: query = """ INSERT INTO monitoring.metric_loadavg_current VALUES (%s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], host_id, ( None, metric_data['load1'], metric_data['load5'], metric_data['load15'] ) ) ) elif metric == 'vacuum_analyze': for metric_data in agent_data['vacuum_analyze']: query = """ INSERT INTO monitoring.metric_vacuum_analyze_current VALUES (%s, %s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, metric_data['dbname'], ( None, str(metric_data['measure_interval']), metric_data['n_vacuum'], metric_data['n_analyze'], metric_data['n_autovacuum'], metric_data['n_autoanalyze'] ) ) ) elif metric == 'replication': for metric_data in agent_data['replication']: query = """ INSERT INTO monitoring.metric_replication_current VALUES (%s, %s, %s) """ cur.execute( query, ( metric_data['datetime'], instance_id, ( None, metric_data['receive_location'], metric_data['replay_location'] ) ) ) session.connection().connection.commit() except Exception as e: logger.info("Metric data not inserted for '%s' type" % (metric)) logger.debug(agent_data[metric]) logger.exception(str(e)) session.connection().connection.rollback() def get_host_checks(session, host_id): # Returns enabled alerting checks as list of tuples: # (name, warning threshold, critical threshold) checks = session.query(Check).filter(Check.host_id == host_id) return [(c.name, c.warning, c.critical) for c in checks if c.enabled] def populate_host_checks(session, host_id, instance_id, hostinfo): # Populate checks table with bootstraped checks if needed q = session.query(Check) n = q.filter(Check.host_id == host_id).count() if n != 0: return specs = check_specs for bc in bootstrap_checks(hostinfo): c = Check(host_id=host_id, instance_id=instance_id, name=bc[0], enabled=True, warning=bc[1], critical=bc[2], description=specs.get(bc[0]).get('description')) session.add(c) session.commit()

39.061151

78

0.38056

1,594

21,718

4.923463

0.13739

0.168196

0.010703

0.032492

0.528287

0.417431

0.34633

0.331295

0.305556

0.2816

0

0.001499

0.539368

21,718

555

79

39.131532

0.782987

0.03039

0

0.429423

0

0.234574

0.042801

0

1

0.015905

false

0.003976

0.005964

0

0.037773

0

null

0

1

0

null

0

1

982acf7f9f2218e64a54202928052ad4200a4b8a

1,720

py

Python

main.py

matr095/A-Day-Calculator

76859f69fe7731f8292ca9830e201643f4420820

[ "Apache-2.0" ]

null

main.py

matr095/A-Day-Calculator

76859f69fe7731f8292ca9830e201643f4420820

[ "Apache-2.0" ]

null

main.py

matr095/A-Day-Calculator

76859f69fe7731f8292ca9830e201643f4420820

[ "Apache-2.0" ]

null

from ftplib import FTP from datetime import * from tkinter import * def interval(): now = date.today() yourDay = int(input("Vous êtes né quel jour ? ")) yourMonth = int(input("Vous êtes né quel mois ? ")) yourYear = int(input("Vous êtes né quelle année ? ")) birthday = date(yourYear, yourMonth, yourDay) daysPassed = now - birthday import os clear = lambda: os.system('clear') clear() endOfString = str(daysPassed).index(" ") print("Tu as " + str(daysPassed)[:endOfString] + " jours !") def calculate(): global result global response try: result.destroy() except: print("no") now = date.today() yourDay = int(day.get('1.0', END)) yourMonth = int(month.get('1.0', END)) yourYear = int(year.get('1.0', END)) birthday = date(yourYear, yourMonth, yourDay) daysPassed = now - birthday endOfString = str(daysPassed).index(" ") response = str(daysPassed)[:endOfString] result = Label(root, text="Félicitations ! Tu as exactement: " + response + " jours !!!") result.pack() root = Tk() root.minsize(width=640, height=480) root.maxsize(width=640, height=480) root.wm_title("A Day Calculator") Label(root, text="A Day Calculator calcule ton nombre de jours passés depuis ta naissance !").pack() calc = Button(root, text="Calculer", command=calculate) calc.pack() Label(root, text="Jour de naissance").pack() day = Text(root, width="4", height="2", background="gray") day.pack() Label(root, text="Mois de naissance").pack() month = Text(root, width="4", height="2", background="gray") month.pack() Label(root, text="Année de naissance").pack() year = Text(root, width="4", height="2", background="gray") year.pack() Label(root, text="-----------------").pack() root.mainloop()

23.243243

100

0.674419

235

1,720

4.931915

0.365957

0.048318

0.067299

0.058671

0.314064

0.22692

0.188956

0

0.016338

0.14593

1,720

73

101

23.561644

0.772634

0

0.16

0

0.196855

0

1

0.04

false

0.14

0.08

0

0.12

0.04

0

null

0

null

0

1

0

1

982c53384fb7fdf1f9847dabcbbd5e3b70a7ace1

5,032

py

Python

nodes/sunled_action.py

willdickson/virtual_desert

989e5b9e3f19e1c502795ae5033873365d325d1b

[ "MIT" ]

1

2021-06-23T06:07:56.000Z

nodes/sunled_action.py

willdickson/virtual_desert

989e5b9e3f19e1c502795ae5033873365d325d1b

[ "MIT" ]

null

nodes/sunled_action.py

willdickson/virtual_desert

989e5b9e3f19e1c502795ae5033873365d325d1b

[ "MIT" ]

null

import math import rospy import numpy as np import random from base_action import BaseAction class SunledAction(BaseAction): index_to_led_position = {} def __init__(self,init_angle,device,param,trial_index): print('sunled action __init__') super(SunledAction,self).__init__(device,param) self.init_angle = init_angle self.position = 0 self.last_update_t = None self.trial_index = trial_index def update(self,t,angle): rval_msg = super(SunledAction,self).update(t,angle) if self.param['mode'] == 'inherit_from': pass if self.last_update_t is None: self.last_update_t = t dt = t - self.last_update_t if dt > self.param['update_period']: if self.param['mode'] == 'fixed_rate': self.position = dt*self.param['rate'] + self.position self.position = np.mod(self.position, self.param['number_of_leds']) self.device.set_led(int(self.position),self.param['rgb_value']) self.last_update_t = t return rval_msg def start(self): if not self.is_started: #rospy.logwarn(self.param['mode']) if self.param['mode'] in ('fixed_position', 'fixed_rate'): if self.param['position'] == 'inherit': inherit_index = self.param['inherit_from'] self.position = self.index_to_led_position[inherit_index] else: self.position = self.param['position'] self.device.set_led(int(self.position),self.param['rgb_value']) self.index_to_led_position[self.trial_index] = self.position elif self.param['mode'] == 'set_by_angle': self.position = self.get_position_from_table(self.init_angle) self.index_to_led_position[self.trial_index] = self.position if self.position is not None: self.device.set_led(int(self.position),self.param['rgb_value']) #fponce edit 23/01/2020 elif self.param['mode'] == 'all_ON': if self.position is not None: self.device.set_all(self.param['rgb_value']) self.index_to_led_position[self.trial_index] = -1 #fponce edit elif self.param['mode'] == 'inherit_n_set_by_table': inherit_index = self.param['inherit_from'] self.prev_position = self.index_to_led_position[inherit_index] self.position = self.get_position_from_ledtable(self.prev_position) self.index_to_led_position[self.trial_index] = self.position if self.position is not None: self.device.set_led(int(self.position),self.param['rgb_value']) elif self.param['mode'] == 'inherit_from_last': inherit_index = self.trial_index-1 self.position = self.index_to_led_position[inherit_index] self.index_to_led_position[self.trial_index] = self.position elif self.param['mode'] == 'random_from_list': self.position = self.get_random_from_list(self.param['sunled_position_list']) self.index_to_led_position[self.trial_index] = self.position if self.position is not None: self.device.set_led(int(self.position),self.param['rgb_value']) ########## else: raise ValueError, 'unknown mode' #rospy.logwarn(self.position) self.is_started = True # def stop(self): # if not self.is_stopped: # self.device.set_led(-1,(0,0,0)) # self.is_stopped = True def get_position_from_table(self,angle): angle_pair_list = [angle_pair for angle_pair,led_index in self.param['sunled_table']] led_index_list = [led_index for angle,led_index in self.param['sunled_table']] position = None for angle_pair, led_index in zip(angle_pair_list, led_index_list): lower_angle, upper_angle = angle_pair if lower_angle <= self.init_angle and self.init_angle <= upper_angle: position = led_index break return position ###################### #fponce edit def get_position_from_ledtable(self,prev_position): prev_led_list = [prev_led for prev_led,led_index in self.param['led_to_led_table']] led_index_list = [led_index for old_led,led_index in self.param['led_to_led_table']] position = None for prev_led, led_index in zip(prev_led_list, led_index_list): if prev_led == prev_position: position = led_index return position def get_random_from_list(self, position_list): position = random.choice(position_list) return position

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0

null

0

null

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1

982eca037ad091ca6153033d361aee2cf39feb98

371

py

Python

Base64_Cleanup.py

Har6ard/HackTheBox

a1dcfa6373afa13469250572d5e93956c24e01dc

[ "MIT" ]

null

Base64_Cleanup.py

Har6ard/HackTheBox

a1dcfa6373afa13469250572d5e93956c24e01dc

[ "MIT" ]

null

Base64_Cleanup.py

Har6ard/HackTheBox

a1dcfa6373afa13469250572d5e93956c24e01dc

[ "MIT" ]

null

#!/usr/bin/python3 """ This script is just to clean up Base64 if is has � present in the output. Example: $�G�r�o�U�P�P�O�L�i�C�Y�S�E�t�t�I�N�G�s� �=� �[�r�E�F�]�.�A�S�s�e�M�B�L�Y�.�G�E�t�T�y�p�E� $GroUPPOLiCYSEttINGs = [rEF].ASseMBLY.GEtTypE """ with open("./target.txt", "r") as f_obj: data = f_obj.read() cleaned = data.replace("�", "") print(cleaned)

24.733333

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0

1

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null

0

1

982faf238d52b2846a9e61e74530e474bb1097c9

742

py

Python

setup.py

jonbulica99/deeplator

d6ad8d60b09022e442cbde6c155a2d752072e358

[ "MIT" ]

64

2017-08-31T19:26:12.000Z

2022-02-27T19:25:21.000Z

setup.py

jonbulica99/deeplator

d6ad8d60b09022e442cbde6c155a2d752072e358

[ "MIT" ]

12

2017-09-08T15:12:02.000Z

2021-12-12T07:18:41.000Z

setup.py

jonbulica99/deeplator

d6ad8d60b09022e442cbde6c155a2d752072e358

[ "MIT" ]

14

2017-09-07T11:39:44.000Z

2021-12-11T09:25:29.000Z

#!/usr/bin/env python3 from setuptools import setup setup( name="deeplator", version="0.0.7", description="Wrapper for DeepL translator.", long_description="Deeplator is a library enabling translation via the DeepL translator.", author="uinput", author_email="uinput@users.noreply.github.com", license="MIT", url="https://github.com/uinput/deeplator", keywords=["deepl", "translation", "translate", "language"], python_requires=">=3", packages=["deeplator"], py_modules=["deeplator"], classifiers=[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3" ] )

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0.011824

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742

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null

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null

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1

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1

98329bd5987a8121de4a33c66083b79a38d22afd

478

py

Python

blogs/migrations/0012_auto_20200601_1247.py

daaawx/bearblog

5e01e4443c632ff53b918cf8a0d3b1c648b352fe

[ "MIT" ]

657

2020-05-26T16:16:07.000Z

2022-03-26T22:35:01.000Z

blogs/migrations/0012_auto_20200601_1247.py

daaawx/bearblog

5e01e4443c632ff53b918cf8a0d3b1c648b352fe

[ "MIT" ]

107

2020-05-26T17:45:04.000Z

2022-03-17T08:24:00.000Z

blogs/migrations/0012_auto_20200601_1247.py

chachan/bearblog

f399f806839bea9f6fd499f50c87cf84fda3bc91

[ "MIT" ]

42

2020-05-26T23:57:58.000Z

2022-03-15T04:20:26.000Z

# Generated by Django 3.0.6 on 2020-06-01 12:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('blogs', '0011_auto_20200531_0915'), ] operations = [ migrations.RemoveField( model_name='post', name='tags', ), migrations.AddField( model_name='blog', name='hashtags', field=models.TextField(blank=True), ), ]

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478

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0.095975

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478

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0

0.25

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null

0

1

0

null

0

1

98357169592d3463991af69ec85a5b95cd26dfba

753

py

Python

app/setup.py

cleve/varidb

fc1b10aa4d708cee1c83909f10773948cee0c539

[ "Apache-2.0" ]

null

app/setup.py

cleve/varidb

fc1b10aa4d708cee1c83909f10773948cee0c539

[ "Apache-2.0" ]

6

2020-11-05T02:18:15.000Z

2022-03-12T00:50:09.000Z

app/setup.py

cleve/pulzar

fc1b10aa4d708cee1c83909f10773948cee0c539

[ "Apache-2.0" ]

null

from setuptools import setup # with open("../README.md", "r") as fh: # long_description = fh.read() setup(name='pulzar-pkg', version='21.4.1', author='Mauricio Cleveland', author_email='mauricio.cleveland@gmail.com', description='Distributed database and jobs', # long_description=long_description, # long_description_content_type="text/markdown", # data_files=[('/var/lib/pulzar/data', [])], url='http://github.com/cleve/pulzar', packages=['pulzarcore', 'pulzarutils'], classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: POSIX :: Linux" ], python_requires='>=3.6', )

32.73913

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0.085011

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0

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753

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0.066667

0

null

0

null

0

1

0

1

9838b9feb9100277e59803005d55c82663dd9651

1,435

py

Python

cnc/migrations/0001_initial.py

andrewmallory/pan-cnc

bdd6349820107acf06b607c2dc0154ded468f049

[ "Apache-2.0" ]

3

2019-03-13T14:59:59.000Z

2020-04-26T06:30:16.000Z

cnc/migrations/0001_initial.py

andrewmallory/pan-cnc

bdd6349820107acf06b607c2dc0154ded468f049

[ "Apache-2.0" ]

29

2019-02-05T00:01:32.000Z

2021-03-22T14:10:07.000Z

cnc/migrations/0001_initial.py

andrewmallory/pan-cnc

bdd6349820107acf06b607c2dc0154ded468f049

[ "Apache-2.0" ]

2

2019-08-31T13:54:53.000Z

2020-11-18T16:27:11.000Z

# Generated by Django 3.0.5 on 2020-05-26 13:58 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='RepositoryDetails', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('url', models.CharField(max_length=512)), ('deploy_key_path', models.CharField(default='', max_length=128, null='')), ('deploy_key_priv', models.CharField(default='', max_length=2048, null='')), ('deploy_key_pub', models.CharField(default='', max_length=2048, null='')), ('details_json', models.TextField(max_length=2048)), ], ), migrations.CreateModel( name='Skillet', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200, unique=True)), ('skillet_json', models.TextField(default='', max_length=2048)), ('repository', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='cnc.RepositoryDetails')), ], ), ]

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0

null

0

1

0

null

0

1

983c57ddcc0f5ba60bf439a4f0ac1aa43adc5576

557

py

Python

core/migrations/0003_auto_20180730_1452.py

CobwebOrg/cobweb-django

14241326860620dbaa64f7eefc6d4b393f80d23c

[ "MIT" ]

7

2017-09-14T18:52:58.000Z

2020-05-18T21:01:20.000Z

core/migrations/0003_auto_20180730_1452.py

CobwebOrg/cobweb-django

14241326860620dbaa64f7eefc6d4b393f80d23c

[ "MIT" ]

151

2017-09-14T18:46:02.000Z

2022-02-10T09:18:44.000Z

core/migrations/0003_auto_20180730_1452.py

CobwebOrg/cobweb-django

14241326860620dbaa64f7eefc6d4b393f80d23c

[ "MIT" ]

1

2017-10-29T19:37:29.000Z

# Generated by Django 2.0.7 on 2018-07-30 21:52 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0002_auto_20180730_1451'), ] operations = [ migrations.AddField( model_name='resourcescan', name='redirect_url', field=models.URLField(blank=True, null=True), ), migrations.AlterUniqueTogether( name='resourcescan', unique_together={('resource', 'is_active', 'redirect_url')}, ), ]

24.217391

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0

0.077694

0.283662

557

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0

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1

0

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0.045098

0

1

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false

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0.25

0

null

0

1

0

null

0

1

983e1c82111a5197c93a2fe5e845fe88a4784b12

4,954

py

Python

csr/csr.py

AlexJanse/python_csr2transmart

c01a76dfa6ecfa4248b274144092ccc6c31aab5a

[ "MIT" ]

null

csr/csr.py

AlexJanse/python_csr2transmart

c01a76dfa6ecfa4248b274144092ccc6c31aab5a

[ "MIT" ]

null

csr/csr.py

AlexJanse/python_csr2transmart

c01a76dfa6ecfa4248b274144092ccc6c31aab5a

[ "MIT" ]

null

from datetime import date from typing import Sequence, Optional, Union, Dict, List, Any from pydantic import BaseModel, validator, Field from csr.entity_validation import validate_entity_data from csr.exceptions import DataException class Individual(BaseModel): """ Individual entity """ individual_id: str = Field(..., min_length=1, identity=True) taxonomy: Optional[str] gender: Optional[str] birth_date: Optional[date] death_date: Optional[date] ic_type: Optional[str] ic_version: Optional[float] ic_given_date: Optional[date] ic_withdrawn_date: Optional[date] report_her_susc: Optional[str] report_inc_findings: Optional[str] diagnosis_count: Optional[int] age_first_diagnosis: Optional[int] class Diagnosis(BaseModel): """ Diagnosis entity """ diagnosis_id: str = Field(..., min_length=1, identity=True) individual_id: str = Field(..., min_length=1, references='Individual') tumor_type: Optional[str] topography: Optional[str] treatment_protocol: Optional[str] tumor_stage: Optional[str] diagnosis_date: Optional[date] diagnosis_center: Optional[str] class Biosource(BaseModel): """ Biosource entity """ biosource_id: str = Field(..., min_length=1, identity=True) biosource_dedicated: Optional[str] individual_id: str = Field(..., min_length=1, references='Individual') diagnosis_id: Optional[str] = Field(None, min_length=1, references='Diagnosis') src_biosource_id: Optional[str] = Field(None, min_length=1, references='Biosource') tissue: Optional[str] biosource_date: Optional[date] disease_status: Optional[str] tumor_percentage: Optional[int] @validator('src_biosource_id') def check_self_reference(cls, src_biosource_id, values): if src_biosource_id == values['biosource_id']: raise DataException(f'Biosource cannot be derived from itself') return src_biosource_id class Biomaterial(BaseModel): """ Biomaterial entity """ biomaterial_id: str = Field(..., min_length=1, identity=True) src_biosource_id: str = Field(..., min_length=1, references='Biosource') src_biomaterial_id: Optional[str] = Field(None, min_length=1, references='Biomaterial') biomaterial_date: Optional[date] type: Optional[str] library_strategy: Optional[List[str]] analysis_type: Optional[List[str]] @validator('src_biomaterial_id') def check_self_reference(cls, src_biomaterial_id, values): if src_biomaterial_id == values['biomaterial_id']: raise DataException(f'Biomaterial cannot be derived from itself') return src_biomaterial_id @validator('library_strategy') def validate_molecule_type_agrees_with_library_strategy(cls, library_strategy, values): if 'type' in values and library_strategy is not None: if values['type'] == 'DNA' and library_strategy.__contains__('RNA-Seq'): raise DataException(f'Not allowed RNA-Seq library strategy for molecule type: DNA') if values['type'] == 'RNA' and library_strategy.__contains__('WXS'): raise DataException(f'Not allowed WXS library strategy for molecule type: RNA') if values['type'] == 'RNA' and library_strategy.__contains__('WGS'): raise DataException(f'Not allowed WGS library strategy for molecule type: RNA') if values['type'] == 'RNA' and library_strategy.__contains__('DNA-meth_array'): raise DataException(f'Not allowed DNA-meth_array library strategy for molecule type: RNA') return library_strategy class Study(BaseModel): """ Study """ study_id: str = Field(..., min_length=1, identity=True) acronym: Optional[str] title: Optional[str] datadictionary: Optional[str] class IndividualStudy(BaseModel): """ Study to individual mapping """ study_id_individual_study_id: str = Field(..., min_length=1, identity=True) individual_study_id: str individual_id: str = Field(..., min_length=1, references='Individual') study_id: str = Field(..., min_length=1, references='Study') SubjectEntity = Union[Individual, Diagnosis, Biosource, Biomaterial] class CentralSubjectRegistry(BaseModel): """ Central subject registry """ entity_data: Dict[str, Sequence[Any]] @staticmethod def create(entity_data: Dict[str, Sequence[Any]]): validate_entity_data(entity_data, list(SubjectEntity.__args__)) return CentralSubjectRegistry(entity_data=entity_data) StudyEntity = Union[Study, IndividualStudy] class StudyRegistry(BaseModel): """ Study registry """ entity_data: Dict[str, Sequence[Any]] @staticmethod def create(entity_data: Dict[str, Sequence[Any]]): validate_entity_data(entity_data, list(StudyEntity.__args__)) return StudyRegistry(entity_data=entity_data)

34.402778

106

0.701655

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4,954

5.679727

0.201022

0.065987

0.041992

0.042891

0.402819

0.353629

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0.233953

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0.003488

0.189746

4,954

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0.029067

0

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false

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0

0.76087

0

null

0

null

0

1

0

1

9840c6e619f369bd516308c15457bc17f344220a

2,007

py

Python

marketplaces/cron_report_daily_activity.py

diassor/CollectorCity-Market-Place

892ad220b8cf1c0fc7433f625213fe61729522b2

[ "Apache-2.0" ]

135

2015-03-19T13:28:18.000Z

2022-03-27T06:41:42.000Z

marketplaces/cron_report_daily_activity.py

dfcoding/CollectorCity-Market-Place

e59acec3d600c049323397b17cae14fdcaaaec07

[ "Apache-2.0" ]

null

marketplaces/cron_report_daily_activity.py

dfcoding/CollectorCity-Market-Place

e59acec3d600c049323397b17cae14fdcaaaec07

[ "Apache-2.0" ]

83

2015-01-30T01:00:15.000Z

2022-03-08T17:25:10.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import os import logging import datetime os.environ['DJANGO_SETTINGS_MODULE'] = 'settings' from django.core.management import setup_environ from django.core.mail import send_mail #from django.db import transaction import settings setup_environ(settings) """ Daily Activity (Sign Up / Cancel) Total Customers Total Sign Ups This Month Total Sign Ups This Today Total Cancelations This Month Total Cancelations This Today """ def report_daily_activity(): from django.core.mail import EmailMultiAlternatives, EmailMessage from django.template import Context, loader from reports.views import get_daily_activity_data day = datetime.datetime.now() try: t_txt = loader.get_template("admin/mail/daily_activity_report.txt") t_html = loader.get_template("admin/mail/daily_activity_report.html") c = get_daily_activity_data(day) subject, from_email, to = 'Daily Activity Report', "no-reply@greatcoins.com", "admin@greatcoins.com" text_content = t_txt.render(Context(c)) html_content = t_html.render(Context(c)) msg = EmailMultiAlternatives(subject, text_content, from_email, [to]) msg.attach_alternative(html_content, "text/html") msg.send() except Exception, e: logging.info(e) mail = EmailMessage(subject='Error when trying to generate Daily Activity Report', body=e, from_email=settings.EMAIL_FROM, to=[mail for (name, mail) in settings.STAFF], headers={'X-SMTPAPI': '{\"category\": \"Error\"}'}) mail.send(fail_silently=True) # send_mail('Error when trying to generate Daily Activity Report', e , settings.EMAIL_FROM, [mail for (name, mail) in settings.STAFF], fail_silently=True) if __name__ == "__main__": report_daily_activity()

35.210526

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5.226337

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null

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null

0

null

0

null

0

1

0

1

98420fbde9020acf9d2baa635fdb24d604a951dc

3,882

py

Python

utils/usergrid-util-python/usergrid_tools/general/queue_monitor.py

snoopdave/incubator-usergrid

104f64eb4f318221f0d11bf43baad0e7c630cafe

[ "Apache-2.0" ]

788

2015-08-21T16:46:57.000Z

2022-03-16T01:57:44.000Z

utils/usergrid-util-python/usergrid_tools/general/queue_monitor.py

snoopdave/incubator-usergrid

104f64eb4f318221f0d11bf43baad0e7c630cafe

[ "Apache-2.0" ]

101

2015-08-23T04:58:13.000Z

2019-11-13T07:02:57.000Z

utils/usergrid-util-python/usergrid_tools/general/queue_monitor.py

snoopdave/incubator-usergrid

104f64eb4f318221f0d11bf43baad0e7c630cafe

[ "Apache-2.0" ]

342

2015-08-22T06:14:20.000Z

2022-03-15T01:20:39.000Z

# */ # * 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 argparse import json import datetime import os import time import sys import boto from boto import sqs ### This monitors an SQS queue and measures the delta message count between polling intervals to infer the amount of time ### remaining to fully drain the queue __author__ = 'Jeff.West@yahoo.com' def total_seconds(td): return (td.microseconds + (td.seconds + td.days * 24.0 * 3600) * 10.0 ** 6) / 10.0 ** 6 def total_milliseconds(td): return (td.microseconds + td.seconds * 1000000) / 1000 def get_time_remaining(count, rate): if rate == 0: return 'NaN' seconds = count * 1.0 / rate m, s = divmod(seconds, 60) h, m = divmod(m, 60) return "%d:%02d:%02d" % (h, m, s) def parse_args(): parser = argparse.ArgumentParser(description='Usergrid Loader - Queue Monitor') parser.add_argument('-c', '--config', help='The queue to load into', type=str, default='%s/.usergrid/queue_monitor.json' % os.getenv("HOME")) parser.add_argument('-q', '--queue_name', help='The queue name to send messages to. If not specified the filename is used', default='entities', type=str) my_args = parser.parse_args(sys.argv[1:]) print str(my_args) return vars(my_args) def main(): args = parse_args() queue_name = args.get('queue_name') print 'queue_name=%s' % queue_name start_time = datetime.datetime.utcnow() first_start_time = start_time print "first start: %s" % first_start_time with open(args.get('config'), 'r') as f: config = json.load(f) sqs_config = config.get('sqs') last_time = datetime.datetime.utcnow() sqs_conn = boto.sqs.connect_to_region(**sqs_config) queue = sqs_conn.get_queue(queue_name) last_size = queue.count() first_size = last_size print 'Starting Size: %s' % last_size sleep = 10 time.sleep(sleep) rate_sum = 0 rate_count = 0 while True: size = queue.count() time_stop = datetime.datetime.utcnow() time_delta = total_seconds(time_stop - last_time) agg_time_delta = total_seconds(time_stop - first_start_time) agg_size_delta = first_size - size agg_messages_rate = 1.0 * agg_size_delta / agg_time_delta size_delta = last_size - size messages_rate = 1.0 * size_delta / time_delta rate_sum += messages_rate rate_count += 1 print '%s | %s | Size: %s | Processed: %s | Last: %s | Avg: %s | Count: %s | agg rate: %s | Remaining: %s' % ( datetime.datetime.utcnow(), queue_name, size, size_delta, round(messages_rate, 2), round(rate_sum / rate_count, 2), rate_count, round(agg_messages_rate, 2), get_time_remaining(size, agg_messages_rate)) last_size = size last_time = time_stop time.sleep(sleep) if __name__ == '__main__': main()

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null

0

null

0

1

0

1

9843d82030095d57d6ca2780e6e91c3791600765

433

py

Python

src/hexdump2/__init__.py

HGrooms/hexdump2

bd9c5de0ac7cd82d0a77c0b5561e5cb12eb7c2b3

[ "MIT" ]

null

src/hexdump2/__init__.py

HGrooms/hexdump2

bd9c5de0ac7cd82d0a77c0b5561e5cb12eb7c2b3

[ "MIT" ]

null

src/hexdump2/__init__.py

HGrooms/hexdump2

bd9c5de0ac7cd82d0a77c0b5561e5cb12eb7c2b3

[ "MIT" ]

null

""" mirrors functionality of hexdump(1) and API interface of Python hexdump package. Usage: 1. Within Python: from hexdump2 import hexdump, color_always # Enable or disable color all the time color_always() hexdump(bytes-like data) 2. From commandline, run the console scripts hexdump2 or hd2 $ hd2 -h """ # Import for everyone to use from .hexdump2 import hexdump, hd, color_always __all__ = ["hexdump", "hd", "color_always"]

20.619048

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0.752887

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0.138365

0.113208

0.157233

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0

0.5

0

null

0

null

0

1

0

1

984c178778bd5a8ed38c3fb9100e9a5a25991cad

3,050

py

Python

ok_redirects/models.py

LowerDeez/ok-redirects

5eb317a8aeae70a4899a06c4eefa9a088f269a03

[ "MIT" ]

1

2021-01-04T08:58:09.000Z

ok_redirects/models.py

LowerDeez/ok-redirects

5eb317a8aeae70a4899a06c4eefa9a088f269a03

[ "MIT" ]

null

ok_redirects/models.py

LowerDeez/ok-redirects

5eb317a8aeae70a4899a06c4eefa9a088f269a03

[ "MIT" ]

null

from django.conf import settings from django.contrib.sites.models import Site from django.db import models from django.utils.translation import pgettext_lazy from .constants import REDIRECT_TYPE_CHOICES, REDIRECT_301 from .fields import MultipleChoiceArrayField __all__ = ( 'Redirect', ) LANGUAGES = getattr(settings, 'LANGUAGES', []) class Redirect(models.Model): site = models.ForeignKey( Site, models.CASCADE, verbose_name=pgettext_lazy("ok:redirects", 'site') ) old_path = models.CharField( pgettext_lazy("ok:redirects", 'redirect from'), max_length=250, db_index=True, help_text=pgettext_lazy( "ok:redirects", "This should be an absolute path, " "excluding the domain name. Example: '/events/search/'." ), ) languages = MultipleChoiceArrayField( models.CharField( max_length=2, choices=LANGUAGES, blank=True ), blank=True, default=[lang[0] for lang in LANGUAGES] if LANGUAGES else list, verbose_name=pgettext_lazy("ok:redirects", "Languages to check redirect") ) is_ignore_get_params = models.BooleanField( pgettext_lazy("ok:redirects", 'Ignore GET parameters'), default=True ) new_path = models.CharField( pgettext_lazy("ok:redirects", 'redirect to'), blank=True, max_length=250, help_text=pgettext_lazy( "ok:redirects", "This can be either an absolute path (as above) " "or a full URL starting with 'http://'." ), ) to_language = models.CharField( pgettext_lazy("ok:redirects", 'to language'), blank=True, choices=LANGUAGES, max_length=5, help_text=pgettext_lazy( "ok:redirects", "Leave blank to redirect to the current language on the site" ), ) status_code = models.PositiveSmallIntegerField( db_index=True, choices=REDIRECT_TYPE_CHOICES, default=REDIRECT_301, verbose_name=pgettext_lazy("ok:redirects", 'Status code'), help_text=pgettext_lazy( "ok:redirects", 'The redirect http status code.' ) ) counter = models.PositiveIntegerField( blank=True, default=0, verbose_name=pgettext_lazy("ok:redirects", 'Counter'), ) is_active = models.BooleanField( pgettext_lazy("ok:redirects", 'Is active'), default=True, db_index=True, ) class Meta: db_table = 'ok_redirects' ordering = ('old_path',) unique_together = (('site', 'old_path'),) verbose_name = pgettext_lazy("ok:redirects", 'redirect') verbose_name_plural = pgettext_lazy("ok:redirects", 'redirects') def __str__(self): return ( f"{pgettext_lazy('ok:redirects', 'Redirect')} " f"{self.status_code}: " f"`{self.old_path}` ---> `{self.new_path}`" )

30.5

81

0.605902

326

3,050

5.469325

0.322086

0.114414

0.125631

0.206394

0.314638

0.292765

0.095345

0.056085

0

0.007329

0.284262

3,050

99

82

30.808081

0.809437

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0.25

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false

0

0.065217

0.01087

0.206522

0

null

0

1

0

null

0

1

984deaa3e520bef0fbb915ca5c77f71dc4dc260d

307

py

Python

driver/urls.py

mzazakeith/uber-clone

02f0be423681be5517182b278176feede1126b7a

[ "MIT" ]

1

2022-01-13T19:31:56.000Z

driver/urls.py

mzazakeith/uber-clone

02f0be423681be5517182b278176feede1126b7a

[ "MIT" ]

5

2020-02-12T01:28:33.000Z

2021-06-10T20:44:23.000Z

driver/urls.py

mzazakeith/uber-clone

02f0be423681be5517182b278176feede1126b7a

[ "MIT" ]

null

from django.conf.urls import url, include from driver import views # from djgeojson.views import GeoJSONLayerView # from driver.models import Points urlpatterns = [ url(r'^new/driver$', views.create_driver_profile, name='new-driver-profile'), url(r'^new/car$', views.submit_car, name='new-car'), ]

30.7

81

0.742671

44

307

5.113636

0.477273

0.088889

0.062222

0

0.123779

307

10

82

30.7

0.836431

0.250814

0

0.201754

0

1

0

false

0

0.333333

0

0.333333

0

null

0

null

0

1

0

1

98501d1d0a0e678ce5a1a02156e3060dda0fe5b8

2,286

py

Python

dodo.py

spandanb/textwalker

0ebabf5a1cf9142b7ca031d7070ba7cf1d118e34

[ "MIT" ]

2

2021-05-07T23:41:32.000Z

2021-05-08T15:52:08.000Z

dodo.py

spandanb/textwalker

0ebabf5a1cf9142b7ca031d7070ba7cf1d118e34

[ "MIT" ]

null

dodo.py

spandanb/textwalker

0ebabf5a1cf9142b7ca031d7070ba7cf1d118e34

[ "MIT" ]

null

""" doit docs: https://pydoit.org/cmd_run.html """ import pdoc import os import os.path def generate_docs(docs_dir: str): """ python callable that creates docs like docs/textwalker.html, docs/patternparser.py Args: docs_dir: location to output docs to """ if not os.path.exists(docs_dir): print(f'{docs_dir} does not exist; creating dir') os.mkdir(docs_dir) mod_names = ["textwalker", "textwalker.textwalker", "textwalker.pattern_parser", "textwalker.utils"] context = pdoc.Context() modules = [pdoc.Module(mod, context=context) for mod in mod_names] pdoc.link_inheritance(context) for module in modules: if module.name == "textwalker": filepath = os.path.join(docs_dir, 'index.html') else: pkg, modname = module.name.split('.') filename = f'{modname}.html' filepath = os.path.join(docs_dir, filename) with open(filepath, 'w', encoding='utf-8') as fp: fp.write(module.html()) print(f'wrote docs for module {module.name} to {filepath}') def task_run_tests(): """ run tests """ task = { 'actions': ['pytest textwalker'], 'verbosity': 2 } return task def task_run_tests_with_codecov(): """ run tests with codecov """ task = { 'actions': ['pytest --cov=textwalker'], 'verbosity': 2 } return task def task_run_flake8(): """ calls flake8 linter """ task = { 'actions': ['flake8 textwalker'], 'verbosity': 2 } return task def task_run_black(): """ calls black code formatter """ task = { 'actions': ['black textwalker'], 'verbosity': 2 } return task def task_run_pdoc_cli(): """ calls pdoc via CLI pdoc3 : https://pdoc3.github.io/pdoc/doc/pdoc/#programmatic-usage """ task = { 'actions': ['pdoc3 --html --force textwalker -o docs'], 'verbosity': 2 } return task def task_run_pdoc(): """ calls pdoc via python pdoc3 : https://pdoc3.github.io/pdoc/doc/pdoc/#programmatic-usage """ task = { 'actions': [(generate_docs, ('docs',))], 'verbosity': 2 } return task

22.194175

104

0.575241

267

2,286

4.816479

0.348315

0.038103

0.046656

0.093313

0.311042

0.289269

0.250389

0.096423

0

0.009186

0.285652

2,286

102

105

22.411765

0.778322

0.185914

0

0.310345

1

0

0.238453

0.026559

0

1

0.12069

false

0

0.051724

0

0.275862

0.034483

0

null

0

1

0

null

0

1

98594e8f28f9b9c4731a1d8dca33c92082e2d4cf

2,451

py

Python

examples/main_simulation_lemon_graph.py

KaterynaMelnyk/GraphKKE

4651f1a5e75e23ad0b84403151f7000ab8f292eb

[ "MIT" ]

1

2021-07-23T08:47:05.000Z

examples/main_simulation_lemon_graph.py

k-melnyk/graphKKE

4651f1a5e75e23ad0b84403151f7000ab8f292eb

[ "MIT" ]

null

examples/main_simulation_lemon_graph.py

k-melnyk/graphKKE

4651f1a5e75e23ad0b84403151f7000ab8f292eb

[ "MIT" ]

null

import os import argparse import numpy as np import scipy import imageio import matplotlib.pyplot as plt from sklearn.cluster import KMeans import graphkke.generate_graphs.graph_generation as graph_generation import graphkke.generate_graphs.generate_SDE as generate_SDE parser = argparse.ArgumentParser() parser.add_argument('--input_dir', type=str, default='/home/katerynam/work/data/artificial/test/') parser.add_argument('--n_graphs', type=int, default=500) parser.add_argument('--n_nodes', type=int, default=300) parser.add_argument('--radius', type=float, default=0.6) parser.add_argument('--n_wells', type=int, default=3) parser.add_argument('--out_state', type=int, default=0.1) parser.add_argument('--if_plot', type=bool, default=True) parser.add_argument('--seed', type=int, default=7) args = parser.parse_args() def randb(n, b): return b[0] + (b[1] - b[0]) * scipy.rand(1, n) def rand(n, bounds, boxes): d = boxes.size x = np.zeros([d, n]) for i in range(d): x[i, :] = randb(n, bounds[i, :]) return x if __name__ == '__main__': lm = generate_SDE.LemonSlice2D([0.9, 0.9], args.n_graphs, 2, args.n_wells) x = rand(1, np.asarray([[-0.5, 0.5], [-0.5, 0.5]]), np.asarray([10, 10])) sde_traj = np.asarray(lm.sim_determ_system(x[:, 0])) k_means = KMeans(n_clusters=args.n_wells).fit(sde_traj) graph_states = k_means.labels_ # sde_traj = np.load(args.input_dir + 'traj.npy') # graph_states = np.load(args.input_dir + 'graph_states.npy') plt.scatter(sde_traj[:, 0], sde_traj[:, 1], c=graph_states) plt.show() sim_graph = graph_generation.LemonGraph(args.radius, args.n_graphs, args.n_nodes, graph_states) graphs, images, node_points = sim_graph.create_adj_matrix(sde_traj, args.out_state, args.if_plot) for i, image in enumerate(images): imageio.imwrite(args.input_dir + f'/traj_{i}.png', image) imageio.mimsave(args.input_dir + '/anim.gif', images, fps=2) np.save(os.path.join(args.input_dir + 'traj.npy'), sde_traj) np.save(os.path.join(args.input_dir + 'graphs.npy'), graphs) np.save(os.path.join(args.input_dir + 'graph_states.npy'), graph_states) np.save(os.path.join(args.input_dir + 'node_points.npy'), node_points)

32.68

101

0.641779

365

2,451

4.106849

0.317808

0.048032

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0.032021

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0

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2,451

74

102

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1

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0.245283

0

null

0

1

0

null

0

1

98598ee67261e34d645c03e2285132218a35b61d

741

py

Python

tests/io/open_plus.py

peterson79/pycom-micropython-sigfox

3f93fc2c02567c96f18cff4af9125db8fd7a6fb4

[ "MIT" ]

37

2017-12-07T15:49:29.000Z

2022-03-16T16:01:38.000Z

tests/io/open_plus.py

peterson79/pycom-micropython-sigfox

3f93fc2c02567c96f18cff4af9125db8fd7a6fb4

[ "MIT" ]

17

2016-06-20T09:06:14.000Z

2016-08-21T10:09:39.000Z

tests/io/open_plus.py

peterson79/pycom-micropython-sigfox

3f93fc2c02567c96f18cff4af9125db8fd7a6fb4

[ "MIT" ]

22

2016-08-01T01:35:30.000Z

2022-03-22T18:12:23.000Z

import sys try: import uos as os except ImportError: import os if not hasattr(os, "unlink"): print("SKIP") sys.exit() # cleanup in case testfile exists try: os.unlink("testfile") except OSError: pass try: f = open("testfile", "r+b") print("Unexpectedly opened non-existing file") except OSError: print("Expected OSError") pass f = open("testfile", "w+b") f.write(b"1234567890") f.seek(0) print(f.read()) f.close() # Open with truncation f = open("testfile", "w+b") f.write(b"abcdefg") f.seek(0) print(f.read()) f.close() # Open without truncation f = open("testfile", "r+b") f.write(b"1234") f.seek(0) print(f.read()) f.close() # cleanup try: os.unlink("testfile") except OSError: pass

15.122449

50

0.643725

115

741

4.147826

0.382609

0.041929

0.109015

0.050314

0.461216

0.398323

0.247379

0.109015

0

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741

48

51

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0

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false

0.081081

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0.108108

0.162162

0

null

0

null

0

1

0

1

986bbe481dae578c33047776f9bf717531d791dd

588

py

Python

backend/api/migrations/0005_education.py

EmileSchneider/cityrepo

fc9d84016342f7cc83231aab9853b89c37d542f9

[ "MIT" ]

null

backend/api/migrations/0005_education.py

EmileSchneider/cityrepo

fc9d84016342f7cc83231aab9853b89c37d542f9

[ "MIT" ]

null

backend/api/migrations/0005_education.py

EmileSchneider/cityrepo

fc9d84016342f7cc83231aab9853b89c37d542f9

[ "MIT" ]

null

# Generated by Django 3.0.5 on 2020-12-11 14:48 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0004_auto_20201211_1411'), ] operations = [ migrations.CreateModel( name='Education', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('institution', models.CharField(max_length=200)), ('description', models.CharField(max_length=2000)), ], ), ]

26.727273

114

0.585034

60

588

5.6

0.766667

0.089286

0.107143

0.142857

0

0.090476

0.285714

588

21

115

28

0.709524

0.076531

0

1

0

0.112754

0.042514

0

1

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false

0

0.066667

0

0.266667

0

null

0

1

0

null

0

1

986cf0c2c336b0be083773fcf498596f4ecc8d23

216

py

Python

Chicago Data Clean/categories_chicago.py

minxstm/Bootcamp_Project_1

1f5d15faab605f7e5b678b6eca802eca04351189

[ "MIT" ]

null

Chicago Data Clean/categories_chicago.py

minxstm/Bootcamp_Project_1

1f5d15faab605f7e5b678b6eca802eca04351189

[ "MIT" ]

null

Chicago Data Clean/categories_chicago.py

minxstm/Bootcamp_Project_1

1f5d15faab605f7e5b678b6eca802eca04351189

[ "MIT" ]

null

import pandas as pd chicago_df=pd.read_csv("Chicago_Crime_2015-2017.csv") #print(chicago_df.head()) chicago_vc = chicago_df["Primary Type"].value_counts() pd.DataFrame(chicago_vc).to_csv("crime_types_chicago_1.csv")

36

60

0.805556

37

216

4.351351

0.594595

0.167702

0

0.043902

0.050926

216

5

61

43.2

0.741463

0.111111

0

0.335079

0.272251

0

1

0

false

0

0.25

0

0.25

0

null

0

1

0

null

0

1

986f08850a9f3156a8739237ba8493743a09c545

1,904

py

Python

vespa/simulation/auto_gui/experiment_list.py

vespa-mrs/vespa

6d3e84a206ec427ac1304e70c7fadf817432956b

[ "BSD-3-Clause" ]

null

vespa/simulation/auto_gui/experiment_list.py

vespa-mrs/vespa

6d3e84a206ec427ac1304e70c7fadf817432956b

[ "BSD-3-Clause" ]

4

2021-04-17T13:58:31.000Z

2022-01-20T14:19:57.000Z

vespa/simulation/auto_gui/experiment_list.py

vespa-mrs/vespa

6d3e84a206ec427ac1304e70c7fadf817432956b

[ "BSD-3-Clause" ]

3

2021-06-05T16:34:57.000Z

2022-01-19T16:13:22.000Z

# -*- coding: UTF-8 -*- # # generated by wxGlade 0.9.3 on Wed Sep 11 13:50:00 2019 # import wx # begin wxGlade: dependencies # end wxGlade # begin wxGlade: extracode # end wxGlade class MyDialog(wx.Dialog): def __init__(self, *args, **kwds): # begin wxGlade: MyDialog.__init__ kwds["style"] = kwds.get("style", 0) | wx.DEFAULT_DIALOG_STYLE wx.Dialog.__init__(self, *args, **kwds) self.SetSize((473, 300)) self.ListExperiments = wx.ListBox(self, wx.ID_ANY, choices=[], style=0) self.ButtonCopy = wx.Button(self, wx.ID_ANY, "Copy List to Clipboard") self.ButtonClose = wx.Button(self, wx.ID_CLOSE, "") self.__set_properties() self.__do_layout() self.Bind(wx.EVT_BUTTON, self.on_copy, self.ButtonCopy) self.Bind(wx.EVT_BUTTON, self.on_close, self.ButtonClose) # end wxGlade def __set_properties(self): # begin wxGlade: MyDialog.__set_properties self.SetTitle("dialog_1") self.SetSize((473, 300)) self.ButtonClose.SetDefault() # end wxGlade def __do_layout(self): # begin wxGlade: MyDialog.__do_layout sizer_1 = wx.BoxSizer(wx.VERTICAL) sizer_2 = wx.BoxSizer(wx.HORIZONTAL) sizer_1.Add(self.ListExperiments, 1, wx.ALL | wx.EXPAND, 10) sizer_2.Add(self.ButtonCopy, 0, 0, 0) sizer_2.Add((20, 20), 1, 0, 0) sizer_2.Add(self.ButtonClose, 0, 0, 0) sizer_1.Add(sizer_2, 0, wx.ALL | wx.EXPAND, 10) self.SetSizer(sizer_1) self.Layout() # end wxGlade def on_copy(self, event): # wxGlade: MyDialog.<event_handler> print("Event handler 'on_copy' not implemented!") event.Skip() def on_close(self, event): # wxGlade: MyDialog.<event_handler> print("Event handler 'on_close' not implemented!") event.Skip() # end of class MyDialog

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60

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null

0

1

0

null

0

1

98737ef22d1fe7939a250bbf74abbab55ff11614

368

py

Python

for python/data/mramesh/pframe.py

aerolalit/Auto-Testing-Python-Programs

dd49ab266c9f0fd8e34278f68f8af017711942e3

[ "MIT" ]

4

2019-10-03T21:16:51.000Z

2019-10-04T01:28:08.000Z

for python/data/mramesh/pframe.py

aerolalit/Auto-Testing

dd49ab266c9f0fd8e34278f68f8af017711942e3

[ "MIT" ]

null

for python/data/mramesh/pframe.py

aerolalit/Auto-Testing

dd49ab266c9f0fd8e34278f68f8af017711942e3

[ "MIT" ]

null

#35011 #a3_p10.py #Miruthula Ramesh #mramesh@jacobs-university.de n = int(input("Enter the width")) w = int(input("Enter the length")) c = input("Enter a character") space=" " def print_frame(n, w): for i in range(n): if i == 0 or i == n-1: print(w*c) else: print(c + space*(w-2) + c) print_frame(n,w)

21.647059

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0.540761

59

368

3.322034

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0.153061

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368

16

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null

0

1

0

null

0

1

98746ffc4cea4687e7a965dcec7581058c45625e

3,430

py

Python

detectors/hamlog.py

time-track-tool/time-track-tool

a1c280f32a7766e460c862633b748fa206256f24

[ "MIT" ]

null

detectors/hamlog.py

time-track-tool/time-track-tool

a1c280f32a7766e460c862633b748fa206256f24

[ "MIT" ]

1

2019-07-03T13:32:38.000Z

detectors/hamlog.py

time-track-tool/time-track-tool

a1c280f32a7766e460c862633b748fa206256f24

[ "MIT" ]

1

2019-05-15T16:01:31.000Z

# Copyright (C) 2012 Dr. Ralf Schlatterbeck Open Source Consulting. # Reichergasse 131, A-3411 Weidling. # Web: http://www.runtux.com Email: office@runtux.com # All rights reserved # **************************************************************************** # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA # **************************************************************************** # #++ # Name # doc # # Purpose # Detectors for hamlog #-- from roundup.exceptions import Reject from roundup.cgi.TranslationService import get_translation from hamlib import fix_qsl_status import common def check_qso_empty (db, cl, nodeid, old_values) : """ Retire qsl if qso Link is removed """ if 'qso' in old_values and not cl.get (nodeid, 'qso') : cl.retire (nodeid) # end def check_qso_empty def check_dupe_qsl_type (db, cl, nodeid, new_values) : common.require_attributes (_, cl, nodeid, new_values, 'qsl_type', 'qso') type = new_values ['qsl_type'] qso = new_values ['qso'] qsl = db.qsl.filter (None, dict (qso = qso, qsl_type = type)) qn = db.qsl_type.get (type, 'name') if qsl : raise Reject, _ ('Duplicate QSL type "%s" for QSO' % qn) # end def check_dupe_qsl_type def check_owner_has_qsos (db, cl, nodeid, new_values) : if 'call' not in new_values : return oldcalls = set (cl.get (nodeid, 'call')) newcalls = set (new_values ['call']) deleted = oldcalls - newcalls if not deleted : return for call in deleted : qsos = db.qso.filter (None, dict (owner = call)) if qsos : name = db.ham_call.get (call, 'name') raise Reject, _ ('Cant\'t delete "%(name)s" Call has QSOs') \ % locals () else : db.ham_call.retire (call) # end def check_owner_has_qsos def fix_stati_qsl (db, cl, nodeid, old_values) : fix_qsl_status (db, cl.get (nodeid, 'qso')) # end def fix_stati_qsl def fix_stati_qso (db, cl, nodeid, old_values) : w = 'wont_qsl_via' if ( not old_values or (w in old_values and old_values [w] != cl.get (nodeid, w)) ) : fix_qsl_status (db, nodeid) # end def fix_stati_qso def init (db) : if 'qso' not in db.classes : return global _ _ = get_translation \ (db.config.TRACKER_LANGUAGE, db.config.TRACKER_HOME).gettext db.qsl.react ('set', check_qso_empty) db.qsl.audit ('create', check_dupe_qsl_type) db.qsl.react ('create', fix_stati_qsl) db.qsl.react ('set', fix_stati_qsl) db.qso.react ('create', fix_stati_qso) db.qso.react ('set', fix_stati_qso) db.user.audit ('set', check_owner_has_qsos) # end def init ### __END__

35.360825

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3,430

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0

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null

0

0.076923

null

0

null

0

null

0

1

0

1

987ebf3bb40f294fbfe683c9dee6246ece40b947

937

py

Python

globus_contents_manager/scripts/spawn_tokens.py

NickolausDS/globus-contents-manager

40ad5e8ef97686feff4ae36ff0f71b0c600c3e83

[ "Apache-2.0" ]

null

globus_contents_manager/scripts/spawn_tokens.py

NickolausDS/globus-contents-manager

40ad5e8ef97686feff4ae36ff0f71b0c600c3e83

[ "Apache-2.0" ]

null

globus_contents_manager/scripts/spawn_tokens.py

NickolausDS/globus-contents-manager

40ad5e8ef97686feff4ae36ff0f71b0c600c3e83

[ "Apache-2.0" ]

null

import os import json from fair_research_login import NativeClient CLIENT_ID = 'e54de045-d346-42ef-9fbc-5d466f4a00c6' APP_NAME = 'My App' SCOPES = 'openid email profile urn:globus:auth:scope:transfer.api.globus.org:all urn:globus:auth:scope:search.api.globus.org:all' CONFIG_FILE = 'tokens-data.json' tokens = None # try to load tokens from local file (native app config) client = NativeClient(client_id=CLIENT_ID, app_name=APP_NAME) try: tokens = client.load_tokens(requested_scopes=SCOPES) except: pass if not tokens: # if no tokens, need to start Native App authentication process to get tokens tokens = client.login(requested_scopes=SCOPES, refresh_tokens=False) try: # save the tokens client.save_tokens(tokens) # create environment variable os.environ['GLOBUS_DATA'] = json.dumps(tokens, indent=4, sort_keys=True) except: pass

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0

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0

1

0

false

0.095238

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0

0.142857

0

null

0

null

0

1

0

1

988f5d1f8daa9ec72e11862df13ec07c4e300748

3,696

py

Python

src/pyrin/audit/api.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

src/pyrin/audit/api.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

src/pyrin/audit/api.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ audit api module. """ import pyrin.audit.services as audit_services from pyrin.api.router.decorators import api audit_config = audit_services.get_audit_configurations() audit_config.update(no_cache=True) is_enabled = audit_config.pop('enabled', False) if is_enabled is True: @api(**audit_config) def inspect(**options): """ inspects all registered packages and gets inspection data. --- parameters: - name: application type: boolean description: specifies that application info must be included - name: packages type: boolean description: specifies that loaded packages info must be included - name: framework type: boolean description: specifies that framework info must be included - name: python type: boolean description: specifies that python info must be included - name: os type: boolean description: specifies that operating system info must be included - name: hardware type: boolean description: specifies that hardware info must be included - name: database type: boolean description: specifies that database info must be included - name: caching type: boolean description: specifies that caching info must be included - name: celery type: boolean description: specifies that celery info must be included - name: traceback type: boolean description: specifies that on failure, it must include the traceback of errors responses: 200: description: all packages are working normally schema: properties: application: type: object description: application info packages: type: object description: loaded packages info framework: type: object description: framework info python: type: object description: python info platform: type: object description: platform info database: type: object description: database info caching: type: object description: caching info celery: type: object description: celery info 500: description: some packages have errors schema: properties: application: type: object description: application info packages: type: object description: loaded packages info framework: type: object description: framework info python: type: object description: python info platform: type: object description: platform info database: type: object description: database info caching: type: object description: caching info celery: type: object description: celery info """ return audit_services.inspect(**options)

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null

0

1

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null

0

1

9891a82e9057c30b7703a78123e0f01f73c0248f

6,932

py

Python

seqs/IntegerHeap.py

vincentdavis/special-sequences

b7b7f8c2bd2f655baeb7b2139ddf007615bffd67

[ "MIT" ]

1

2020-04-15T10:46:57.000Z

seqs/IntegerHeap.py

vincentdavis/special-sequences

b7b7f8c2bd2f655baeb7b2139ddf007615bffd67

[ "MIT" ]

1

2016-09-14T03:57:25.000Z

seqs/IntegerHeap.py

vincentdavis/special-sequences

b7b7f8c2bd2f655baeb7b2139ddf007615bffd67

[ "MIT" ]

null

"""IntegerHeap.py Priority queues of integer keys based on van Emde Boas trees. Only the keys are stored; caller is responsible for keeping track of any data associated with the keys in a separate dictionary. We use a version of vEB trees in which all accesses to subtrees are performed indirectly through a hash table and the data structures for the subtrees are only created when they are nonempty. As a consequence, the data structure takes only linear space (linear in the number of keys stored in the heap) while still preserving the O(log log U) time per operation of vEB trees. For better performance, we switch to bitvectors for sufficiently small integer sizes. Usage: Q = BitVectorHeap() # Bit-vector based heap for integers Q = FlatHeap(i) # Flat heap for 2^i-bit integers Q = LinearHeap() # Set-based heap with linear-time min operation Q = IntegerHeap(i) # Choose between BVH and FH depending on i Q.add(x) # Include x among the values in the heap Q.remove(x) # Remove x from the values in the heap Q.min() # Return the minimum value in the heap if Q # True if Q is nonempty, false if empty Because the min operation in LinearHeap is a Python primitive rather than a sequence of interpreted Python instructions, it is actually quite fast; testing indicates that, for 32-bit keys, FlatHeap(5) beats LinearHeap only for heaps of 250 or more items. This breakeven point would likely be different for different numbers of bits per word or when runtime optimizers such as psyco are in use. D. Eppstein, January 2010 """ def IntegerHeap(i): """Return an integer heap for 2^i-bit integers. We use a BitVectorHeap for small i and a FlatHeap for large i. Timing tests indicate that the cutoff i <= 3 is slightly faster than the also-plausible cutoff i <= 2, and that both are much faster than the way-too-large cutoff i <= 4. The resulting IntegerHeap objects will use 255-bit long integers, still small compared to the overhead of a FlatHeap.""" if i <= 3: return BitVectorHeap() return FlatHeap(i) Log2Table = {} # Table of powers of two, with their logs def Log2(b): """Return log_2(b), where b must be a power of two.""" while b not in Log2Table: i = len(Log2Table) Log2Table[1 << i] = i return Log2Table[b] # ====================================================================== # BitVectorHeap # ====================================================================== class BitVectorHeap(object): """Maintain the minimum of a set of integers using bitvector operations.""" def __init__(self): """Create a new BitVectorHeap.""" self._S = 0 def __nonzero__(self): """True if this heap is nonempty, false if empty.""" return self._S != 0 def __bool__(self): """True if this heap is nonempty, false if empty.""" return self._S != 0 def add(self, x): """Include x among the values in the heap.""" self._S |= 1 << x def remove(self, x): """Remove x from the values in the heap.""" self._S &= ~1 << x def min(self): """Return the minimum value in the heap.""" if not self._S: raise ValueError("BitVectorHeap is empty") return Log2(self._S & ~(self._S - 1)) # ====================================================================== # FlatHeap # ====================================================================== class FlatHeap(object): """Maintain the minimum of a set of 2^i-bit integer values.""" def __init__(self, i): """Create a new FlatHeap for 2^i-bit integers.""" self._min = None self._order = i self._shift = 1 << (i - 1) self._max = (1 << (1 << i)) - 1 self._HQ = IntegerHeap(i - 1) # Heap of high halfwords self._LQ = {} # Map high half to heaps of low halfwords def _rangecheck(self, x): """Make sure x is a number we can include in this FlatHeap.""" if x < 0 or x > self._max: raise ValueError("FlatHeap: {0!s} out of range".format(repr(x))) def __nonzero__(self): """True if this heap is nonempty, false if empty.""" return self._min is not None def __bool__(self): """True if this heap is nonempty, false if empty.""" return self._min is not None def min(self): """Return the minimum value in the heap.""" if self._min is None: raise ValueError("FlatHeap is empty") return self._min def add(self, x): """Include x among the values in the heap.""" self._rangecheck(x) if self._min is None or self._min == x: # adding to an empty heap is easy self._min = x return if x < self._min: # swap to make sure the value we're adding is non-minimal x, self._min = self._min, x H = x >> self._shift # split into high and low halfwords L = x - (H << self._shift) if H not in self._LQ: self._HQ.add(H) self._LQ[H] = IntegerHeap(self._order - 1) self._LQ[H].add(L) def remove(self, x): """Remove x from the values in the heap.""" self._rangecheck(x) if self._min == x: # Removing minimum, move next value into place # and prepare to remove that next value from secondary heaps if not self._HQ: self._min = None return H = self._HQ.min() L = self._LQ[H].min() x = self._min = (H << self._shift) + L else: H = x >> self._shift # split into high and low halfwords L = x - (H << self._shift) if H not in self._LQ: return # ignore removal when not in heap self._LQ[H].remove(L) if not self._LQ[H]: del self._LQ[H] self._HQ.remove(H) # ====================================================================== # LinearHeap # ====================================================================== class LinearHeap(object): """Maintain the minimum of a set of integers using a set object.""" def __init__(self): """Create a new BitVectorHeap.""" self._S = set() def __nonzero__(self): """True if this heap is nonempty, false if empty.""" return len(self._S) > 0 def __bool__(self): """True if this heap is nonempty, false if empty.""" return len(self._S) > 0 def add(self, x): """Include x among the values in the heap.""" self._S.add(x) def remove(self, x): """Remove x from the values in the heap.""" self._S.remove(x) def min(self): """Return the minimum value in the heap.""" return min(self._S)

34.147783

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0

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false

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0

null

0

null

0

1

0

1

9893aa6d0245de7a42d6065da71ab428fbb28e3b

3,238

py

Python

core/client/client.py

spiritotaku/fedlearn-algo

842700d43e7f033a7b6a32d0845cb6d9db5b866a

[ "Apache-2.0" ]

1

2021-07-20T23:44:28.000Z

core/client/client.py

kfliubo/fedlearn-algo

3440bb10a8680319bcad1b9c9677874bab35550a

[ "Apache-2.0" ]

null

core/client/client.py

kfliubo/fedlearn-algo

3440bb10a8680319bcad1b9c9677874bab35550a

[ "Apache-2.0" ]

null

# Copyright 2021 Fedlearn authors. # 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. # This file is the class template theABC JDT client from core.entity.common.message import RequestMessage, ResponseMessage from core.grpc_comm.grpc_converter import grpc_msg_to_common_msg, common_msg_to_grpc_msg from core.proto.transmission_pb2 import ReqResMessage from core.proto.transmission_pb2_grpc import TransmissionServicer from abc import abstractmethod from typing import Dict import pickle class ClientError(ValueError): pass class Client(TransmissionServicer): """ Basic client class """ @property def dict_functions(self): """ Dictionary of functions that store the training function mapping as <phase_id: training_function>. """ return self._dict_functions @dict_functions.setter def dict_functions(self, value): if not isinstance(value, dict): raise ValueError("Funcion mapping must be a dictionary!") self._dict_functions = value @abstractmethod def train_init(self) -> None: """ Training initialization function Returns ------- None """ @abstractmethod def inference_init(self) -> None: """ Inference initialization function Returns ------- None """ def load_model(self, model_path: str) -> Dict: """ Parameters ---------- model_path: str Returns ------- model: dict """ f = open(model_path, 'rb') model = pickle.load(f) f.close() return model def save_model(self, model_path: str, model: Dict) -> None: """ Parameters ---------- model_path: str model: dict Returns ------- None """ f = open(model_path, 'wb') pickle.dump(model, f) f.close() def process_request(self, request: RequestMessage) -> ResponseMessage: """ Parameters ---------- request: RequestMessage Returns ------- response: ResponseMessage """ symbol = request.phase_id if symbol not in self.dict_functions.keys(): raise ClientError("Function %s is not implemented.", symbol) response = self.dict_functions[symbol](request) return response def comm(self, grpc_request: ReqResMessage, context) -> ReqResMessage: common_req_msg = grpc_msg_to_common_msg(grpc_request) common_res_msg = self.process_request(common_req_msg) return common_msg_to_grpc_msg(common_res_msg)

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121

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0.845722

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0

1

0.195122

false

0.02439

0.170732

0

0.512195

0

null

0

null

0

1

0

1

9894e55664da246d5300969b91941e5dc7ab68d5

9,369

py

Python

L1Trigger/GlobalTriggerAnalyzer/test/L1GtPackUnpackAnalyzer_cfg.py

SWuchterl/cmssw

769b4a7ef81796579af7d626da6039dfa0347b8e

[ "Apache-2.0" ]

6

2017-09-08T14:12:56.000Z

2022-03-09T23:57:01.000Z

L1Trigger/GlobalTriggerAnalyzer/test/L1GtPackUnpackAnalyzer_cfg.py

SWuchterl/cmssw

769b4a7ef81796579af7d626da6039dfa0347b8e

[ "Apache-2.0" ]

545

2017-09-19T17:10:19.000Z

2022-03-07T16:55:27.000Z

L1Trigger/GlobalTriggerAnalyzer/test/L1GtPackUnpackAnalyzer_cfg.py

SWuchterl/cmssw

769b4a7ef81796579af7d626da6039dfa0347b8e

[ "Apache-2.0" ]

14

2017-10-04T09:47:21.000Z

2019-10-23T18:04:45.000Z

from __future__ import print_function # # cfg file to pack (DigiToRaw) a GT DAQ record, unpack (RawToDigi) it back # and compare the two set of digis # # V M Ghete 2009-04-06 import FWCore.ParameterSet.Config as cms # process process = cms.Process('TestGtPackUnpackAnalyzer') ###################### user choices ###################### # choose the type of sample used (True for RelVal, False for data) useRelValSample = True #useRelValSample=False # actual GlobalTag must be appropriate for the sample use if useRelValSample == True : useGlobalTag = 'IDEAL_V12' #useGlobalTag='STARTUP_V9' else : useGlobalTag = 'CRAFT_ALL_V12' # change to True to use local files # the type of file should match the choice of useRelValSample and useGlobalTag useLocalFiles = False ###################### end user choices ################### # number of events to be processed and source file process.maxEvents = cms.untracked.PSet( input=cms.untracked.int32(10) ) readFiles = cms.untracked.vstring() secFiles = cms.untracked.vstring() process.source = cms.Source ('PoolSource', fileNames=readFiles, secondaryFileNames=secFiles) # type of sample used (True for RelVal, False for data) if useRelValSample == True : if useGlobalTag.count('IDEAL') : #/RelValTTbar/CMSSW_2_2_4_IDEAL_V11_v1/GEN-SIM-DIGI-RAW-HLTDEBUG dataset = cms.untracked.vstring('RelValTTbar_CMSSW_2_2_4_IDEAL_V11_v1') readFiles.extend([ '/store/relval/CMSSW_2_2_4/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG/IDEAL_V11_v1/0000/02697009-5CF3-DD11-A862-001D09F2423B.root', '/store/relval/CMSSW_2_2_4/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG/IDEAL_V11_v1/0000/064657A8-59F3-DD11-ACA5-000423D991F0.root', '/store/relval/CMSSW_2_2_4/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG/IDEAL_V11_v1/0000/0817F6DE-5BF3-DD11-880D-0019DB29C5FC.root', '/store/relval/CMSSW_2_2_4/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG/IDEAL_V11_v1/0000/0899697C-5AF3-DD11-9D21-001617DBD472.root' ]); secFiles.extend([ ]) elif useGlobalTag.count('STARTUP') : #/RelValTTbar/CMSSW_2_2_4_STARTUP_V8_v1/GEN-SIM-DIGI-RAW-HLTDEBUG dataset = cms.untracked.vstring('RelValTTbar_CMSSW_2_2_4_STARTUP_V8_v1') readFiles.extend([ '/store/relval/CMSSW_2_2_4/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_V8_v1/0000/069AA022-5BF3-DD11-9A56-001617E30D12.root', '/store/relval/CMSSW_2_2_4/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_V8_v1/0000/08DA99A6-5AF3-DD11-AAC1-001D09F24493.root', '/store/relval/CMSSW_2_2_4/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_V8_v1/0000/0A725E15-5BF3-DD11-8B4B-000423D99CEE.root', '/store/relval/CMSSW_2_2_4/RelValTTbar/GEN-SIM-DIGI-RAW-HLTDEBUG/STARTUP_V8_v1/0000/0AF5B676-5AF3-DD11-A22F-001617DBCF1E.root' ]); secFiles.extend([ ]) else : print('Error: Global Tag ', useGlobalTag, ' not defined.') else : # data dataset = '/Cosmics/Commissioning09-v1/RAW' print(' Running on set: '+ dataset) readFiles.extend( [ '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/00BD9A1F-B908-DE11-8B2C-000423D94A04.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/025E8B48-B608-DE11-A0EE-00161757BF42.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/027AA271-D208-DE11-9A7F-001617DBD5AC.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/04281D2F-D108-DE11-9A27-000423D944DC.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/065B0C1C-C008-DE11-A32B-001617E30F48.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/08B1054B-BD08-DE11-AF8B-001617C3B78C.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/0C055C33-D108-DE11-B678-001617C3B73A.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/0E480977-D208-DE11-BA78-001617C3B6E2.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/0E79251B-B908-DE11-83FF-000423D99CEE.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/101B8CA0-B508-DE11-B614-000423D99160.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/12C62C71-BF08-DE11-A48C-000423D99614.root', '/store/data/Commissioning09/Cosmics/RAW/v1/000/076/966/16A77E08-B008-DE11-9121-000423D8F63C.root' ]); secFiles.extend([ ]) if useLocalFiles : readFiles = 'file:/afs/cern.ch/user/g/ghete/scratch0/CmsswTestFiles/testGt_PackUnpackAnalyzer_source.root.root' # load and configure modules via Global Tag # https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideFrontierConditions process.load('Configuration.StandardSequences.Geometry_cff') process.load('Configuration.StandardSequences.FrontierConditions_GlobalTag_cff') process.GlobalTag.globaltag = useGlobalTag+'::All' # remove FakeConditions when GTag is OK process.load('L1Trigger.Configuration.L1Trigger_FakeConditions_cff') # # pack....... # process.load("EventFilter.L1GlobalTriggerRawToDigi.l1GtPack_cfi") # input tag for GT readout collection: # input tag for GMT readout collection: # source = hardware record if useRelValSample == True : daqGtInputTagPack = 'simGtDigis' muGmtInputTagPack = 'simGmtDigis' else : daqGtInputTagPack = 'l1GtUnpack' muGmtInputTagPack = 'l1GtUnpack' process.l1GtPack.DaqGtInputTag = daqGtInputTagPack process.l1GtPack.MuGmtInputTag = muGmtInputTagPack # mask for active boards (actually 16 bits) # if bit is zero, the corresponding board will not be packed # default: no board masked: ActiveBoardsMask = 0xFFFF # no board masked (default) #process.l1GtPack.ActiveBoardsMask = 0xFFFF # GTFE only in the record #process.l1GtPack.ActiveBoardsMask = 0x0000 # GTFE + FDL #process.l1GtPack.ActiveBoardsMask = 0x0001 # GTFE + GMT #process.l1GtPack.ActiveBoardsMask = 0x0100 # GTFE + FDL + GMT #process.l1GtPack.ActiveBoardsMask = 0x0101 # set it to verbose process.l1GtPack.Verbosity = cms.untracked.int32(1) # # unpack....... # import EventFilter.L1GlobalTriggerRawToDigi.l1GtUnpack_cfi process.gtPackedUnpack = EventFilter.L1GlobalTriggerRawToDigi.l1GtUnpack_cfi.l1GtUnpack.clone() # input tag for GT and GMT readout collections in the packed data: process.gtPackedUnpack.DaqGtInputTag = 'l1GtPack' # Active Boards Mask # no board masked (default) #process.gtPackedUnpack.ActiveBoardsMask = 0xFFFF # GTFE only in the record #process.gtPackedUnpack.ActiveBoardsMask = 0x0000 # GTFE + FDL #process.gtPackedUnpack.ActiveBoardsMask = 0x0001 # GTFE + GMT #process.gtPackedUnpack.ActiveBoardsMask = 0x0100 # GTFE + FDL + GMT #process.gtPackedUnpack.ActiveBoardsMask = 0x0101 # BxInEvent to be unpacked # all available BxInEvent (default) #process.gtPackedUnpack.UnpackBxInEvent = -1 # BxInEvent = 0 (L1A) #process.gtPackedUnpack.UnpackBxInEvent = 1 # 3 BxInEvent (F, 0, 1) #process.gtPackedUnpack.UnpackBxInEvent = 3 # # compare the initial and final digis ....... # process.load("L1Trigger.GlobalTriggerAnalyzer.l1GtPackUnpackAnalyzer_cfi") # input tag for the initial GT DAQ record: must match the pack label # input tag for the initial GMT readout collection: must match the pack label process.l1GtPackUnpackAnalyzer.InitialDaqGtInputTag = daqGtInputTagPack process.l1GtPackUnpackAnalyzer.InitialMuGmtInputTag = muGmtInputTagPack # input tag for the final GT DAQ and GMT records: must match the unpack label # GT unpacker: gtPackedUnpack (cloned unpacker from L1GtPackUnpackAnalyzer.cfg) #process.l1GtPackUnpackAnalyzer.FinalGtGmtInputTag = 'gtPackedUnpack' # path to be run if useRelValSample == True : process.p = cms.Path(process.l1GtPack*process.gtPackedUnpack*process.l1GtPackUnpackAnalyzer) else : process.p = cms.Path(process.l1GtPack*process.gtPackedUnpack*process.l1GtPackUnpackAnalyzer) # FIXME unpack first raw data # Message Logger process.load('FWCore.MessageService.MessageLogger_cfi') process.MessageLogger.debugModules = [ 'l1GtPack', 'l1GtUnpack', 'l1GtPackUnpackAnalyzer'] process.MessageLogger.destinations = ['L1GtPackUnpackAnalyzer'] process.MessageLogger.L1GtPackUnpackAnalyzer = cms.untracked.PSet( threshold=cms.untracked.string('DEBUG'), #threshold = cms.untracked.string('INFO'), #threshold = cms.untracked.string('ERROR'), DEBUG=cms.untracked.PSet( limit=cms.untracked.int32(-1) ), INFO=cms.untracked.PSet( limit=cms.untracked.int32(-1) ), WARNING=cms.untracked.PSet( limit=cms.untracked.int32(-1) ), ERROR=cms.untracked.PSet( limit=cms.untracked.int32(-1) ), default = cms.untracked.PSet( limit=cms.untracked.int32(-1) ) ) # summary process.options = cms.untracked.PSet( wantSummary = cms.untracked.bool(True) ) # output process.outputL1GtPackUnpack = cms.OutputModule("PoolOutputModule", fileName = cms.untracked.string('L1GtPackUnpackAnalyzer.root'), # keep only emulated data, packed data, unpacked data in the ROOT file outputCommands = cms.untracked.vstring('drop *', 'keep *_simGtDigis_*_*', 'keep *_simGmtDigis_*_*', 'keep *_l1GtPack_*_*', 'keep *_l1GtPackedUnpack_*_*') ) process.outpath = cms.EndPath(process.outputL1GtPackUnpack)

35.488636

139

0.732629

1,120

9,369

6.040179

0.286607

0.044346

0.012417

0.014191

0.335107

0.293422

0.281892

0.228234

0.221582

0

0.101225

0.145907

9,369

263

140

35.623574

0.744189

0.293094

0

0.275862

0

0.181034

0.468184

0.42793

0

0.003802

0

1

0

false

0

0.025862

0

0.025862

0

null

0

1

null

0

1

98985142e7c8b8249e12ffcb7bdd9280a12f0e9c

428

py

Python

cases/urls.py

testyourcodenow/core

05865b02ff7e60ffd3b30652161b3523046b9696

[ "MIT" ]

1

2020-05-10T06:40:58.000Z

cases/urls.py

testyourcodenow/core

05865b02ff7e60ffd3b30652161b3523046b9696

[ "MIT" ]

25

2020-05-03T08:10:38.000Z

2021-09-22T18:59:29.000Z

cases/urls.py

testyourcodenow/core

05865b02ff7e60ffd3b30652161b3523046b9696

[ "MIT" ]

10

2020-05-03T08:25:56.000Z

2020-06-03T06:49:34.000Z

from django.urls import path from cases.api.get_visuals_data import UpdateVisualsData from cases.api.kenyan_cases import KenyanCaseList from cases.api.visuals import VisualList urlpatterns = [ path('kenyan/all', KenyanCaseList.as_view(), name='Historical data'), path('history/', VisualList.as_view(), name='Historical data'), path('update/history', UpdateVisualsData.as_view(), name='Update Historical data'), ]

32.923077

87

0.766355

54

428

5.962963

0.407407

0.083851

0.111801

0.124224

0.173913

0

0.11215

428

12

88

35.666667

0.847368

0

0.196262

0

1

0

false

0

0.444444

0

0.444444

0

null

0

null

0

1

0

1

98abe48e2e82e8030955b56dce5a86874efde1ce

1,934

py

Python

Examples/batch_data_reduction.py

keflavich/TurbuStat

a6fac4c0d10473a74c62cce4a9c6a30773a955b1

[ "MIT" ]

null

Examples/batch_data_reduction.py

keflavich/TurbuStat

a6fac4c0d10473a74c62cce4a9c6a30773a955b1

[ "MIT" ]

null

Examples/batch_data_reduction.py

keflavich/TurbuStat

a6fac4c0d10473a74c62cce4a9c6a30773a955b1

[ "MIT" ]

null

# Licensed under an MIT open source license - see LICENSE ''' Runs data_reduc on all data cubes in the file. Creates a folder for each data cube and its products Run from folder containing data cubes ''' from turbustat.data_reduction import * from astropy.io.fits import getdata import os import sys import errno import shutil from datetime import datetime folder = sys.argv[1] noise = sys.argv[2] if str(noise) == "None": noise=None os.chdir(folder) ## Read files in the folder data_cubes = [x for x in os.listdir(".") if os.path.isfile(x) and x[-4:]=="fits"] # [os.path.join(folder,x) for x in os.listdir(folder) if os.path.isfile(os.path.join(folder,x)) and x[-4:]=="fits"] print data_cubes logfile = open("".join([folder[:-1],"_reductionlog",".txt"]), "w+") for fitscube in data_cubes: filestr = "Reducing %s \n" % (fitscube) print filestr print str(datetime.now()) logfile.write(filestr) logfile.write("".join([str(datetime.now()),"\n"])) try: os.makedirs(fitscube[:-5]) except OSError as exception: pass # if exception.errno != errno.EEXIST: # logfile.write(OSError) # logfile.close() # raise shutil.move(fitscube, fitscube[:-5]) os.chdir(fitscube[:-5]) cube, header = getdata(fitscube, header=True) # if np.isnan(cube.sum(axis=0)[:,cube.shape[2]]).shape[1] == cube.shape[2]: cube[:,:,cube.shape[2]-1] = cube[:,:,0] # elif np.isnan(cube.sum(axis=0)[cube.shape[1],:]).shape[1] == cube.shape[1]: cube[:,cube.shape[1]-1,:] = cube[:,0,:] reduction = property_arrays((cube,header), rms_noise=0.001, kernel_size=10, save_name=fitscube[:-5]) reduction.return_all() ## Clean up cube, header = None, None reduction = None os.chdir("..") print "Done!\n " print str(datetime.now()) logfile.write("Done!") logfile.write("".join([str(datetime.now()),"\n"])) logfile.close()

24.794872

115

0.639607

286

1,934

4.286713

0.36014

0.044046

0.045677

0.011419

0.215334

0.17292

0.096248

0.045677

0

0.018378

0.184074

1,934

77

116

25.116883

0.758555

0.238883

0

0.1

0

0.047256

0

null

0.025

0.175

null

0.125

0

null

0

null

0

1

0

1

7f283665e8b6be70031379c582e3646c30d58f97

814

py

Python

camunda/utils/log_utils.py

finexioinc/camunda-external-task-client-python3

dd88da967e8cc1aaf91972e2667e01bfa02265d0

[ "Apache-2.0" ]

null

camunda/utils/log_utils.py

finexioinc/camunda-external-task-client-python3

dd88da967e8cc1aaf91972e2667e01bfa02265d0

[ "Apache-2.0" ]

null

camunda/utils/log_utils.py

finexioinc/camunda-external-task-client-python3

dd88da967e8cc1aaf91972e2667e01bfa02265d0

[ "Apache-2.0" ]

1

2020-08-05T22:20:06.000Z

import logging from frozendict import frozendict def log_with_context(message, context=frozendict({}), log_level='info', **kwargs): log_function = __get_log_function(log_level) log_context_prefix = __get_log_context_prefix(context) if log_context_prefix: log_function(f"{log_context_prefix} {message}", **kwargs) else: log_function(message, **kwargs) def __get_log_context_prefix(context): log_context_prefix = "" if context: for k, v in context.items(): if v: log_context_prefix += f"[{k}:{v}]" return log_context_prefix def __get_log_function(log_level): switcher = { 'info': logging.info, 'warning': logging.warning, 'error': logging.error } return switcher.get(log_level, logging.info)

25.4375

82

0.665848

101

814

4.980198

0.267327

0.159046

0.254473

0.067594

0.190855

0

0.224816

814

31

83

26.258065

0.797147

0

0.072482

0

1

0.130435

false

0

0.086957

0

0.304348

0

null

0

1

0

null

0

1

7f28a3ba2a1d3d7c7bdf664d76babed98cc0144e

742

py

Python

wildlifecompliance/migrations/0055_auto_20180704_0848.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

1

2020-12-07T17:12:40.000Z

wildlifecompliance/migrations/0055_auto_20180704_0848.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

14

2020-01-08T08:08:26.000Z

2021-03-19T22:59:46.000Z

wildlifecompliance/migrations/0055_auto_20180704_0848.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

15

2020-01-08T08:02:28.000Z

2021-11-03T06:48:32.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.8 on 2018-07-04 00:48 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('wildlifecompliance', '0054_assessment_licence_activity_type'), ] operations = [ migrations.AlterField( model_name='applicationgrouptype', name='name', field=models.CharField( choices=[ ('officer', 'Officer'), ('assessor', 'Assessor')], default='officer', max_length=40, verbose_name='Group Type'), ), ]

25.586207

72

0.521563

62

742

6.048387

0.758065

0

0.049251

0.37062

742

28

73

26.5

0.753747

0.091644

0

1

0

0.187779

0.055142

0

1

0

false

0

0.095238

0

0.238095

0

null

0

1

0

null

0

1

7f28fd8107aa3d01ef3f003e276b381cfb9af0d6

677

py

Python

day2/day2.py

tlee911/aoc2021

f3b46590be72ceccdf4915b67b050c0c3207f002

[ "MIT" ]

null

day2/day2.py

tlee911/aoc2021

f3b46590be72ceccdf4915b67b050c0c3207f002

[ "MIT" ]

null

day2/day2.py

tlee911/aoc2021

f3b46590be72ceccdf4915b67b050c0c3207f002

[ "MIT" ]

null

with open('input.txt', 'r') as file: input = file.readlines() input = [ step.split() for step in input ] input = [ {step[0]: int(step[1])} for step in input ] def part1(): x = 0 y = 0 for step in input: x += step.get('forward', 0) y += step.get('down', 0) y -= step.get('up', 0) print(x,y) return x * y def part2(): x = 0 y = 0 a = 0 for step in input: x += step.get('forward', 0) y += step.get('forward', 0) * a #y += step.get('down', 0) a += step.get('down', 0) #y -= step.get('up', 0) a -= step.get('up', 0) print(x,y,a) return x * y print(part2())

20.515152

53

0.468242

110

677

2.881818

0.245455

0.198738

0.126183

0.176656

0.485804

0.444795

0.369085

0.246057

0

0.042316

0.33678

677

33

54

20.515152

0.663697

0.067947

0

0.4

0

0.068254

0

1

0.08

false

0

0.16

0.12

0

null

0

1

0

null

0

1

7f297ce902d7f9247b5e656d705431d2cc8409f0

4,307

py

Python

user_metrics/metrics/edit_count.py

wikimedia/user_metrics

23ef17f7134729a0a4a8a47ac7100fb88db4d155

[ "BSD-3-Clause" ]

1

2017-09-03T21:33:35.000Z

user_metrics/metrics/edit_count.py

wikimedia/user_metrics

23ef17f7134729a0a4a8a47ac7100fb88db4d155

[ "BSD-3-Clause" ]

null

user_metrics/metrics/edit_count.py

wikimedia/user_metrics

23ef17f7134729a0a4a8a47ac7100fb88db4d155

[ "BSD-3-Clause" ]

null

__author__ = "Ryan Faulkner" __date__ = "July 27th, 2012" __license__ = "GPL (version 2 or later)" from os import getpid from collections import namedtuple import user_metric as um from user_metrics.metrics import query_mod from user_metrics.metrics.users import UMP_MAP from user_metrics.utils import multiprocessing_wrapper as mpw from user_metrics.config import logging class EditCount(um.UserMetric): """ Produces a count of edits as well as the total number of bytes added for a registered user. `https://meta.wikimedia.org/wiki/Research:Metrics/edit_count(t)` usage e.g.: :: >>> import classes.Metrics as m >>> m.EditCount(date_start='2012-12-12 00:00:00',date_end= '2012-12-12 00:00:00',namespace=0).process(123456) 25, 10000 The output in this case is the number of edits (25) made by the editor with ID 123456 and the total number of bytes added by those edits (10000) """ # Structure that defines parameters for EditRate class _param_types = { 'init': {}, 'process': { 'k': [int, 'Number of worker processes.', 5] } } # Define the metrics data model meta _data_model_meta = { 'id_fields': [0], 'date_fields': [], 'float_fields': [], 'integer_fields': [1], 'boolean_fields': [], } _agg_indices = { 'list_sum_indices': _data_model_meta['integer_fields'] + _data_model_meta['float_fields'], } @um.pre_metrics_init def __init__(self, **kwargs): super(EditCount, self).__init__(**kwargs) @staticmethod def header(): return ['user_id', 'edit_count'] @um.UserMetric.pre_process_metric_call def process(self, users, **kwargs): """ Determine edit count. The parameter *user_handle* can be either a string or an integer or a list of these types. When the *user_handle* type is integer it is interpreted as a user id, and as a user_name for string input. If a list of users is passed to the *process* method then a dict object with edit counts keyed by user handles is returned. - Paramters: - **user_handle** - String or Integer (optionally lists): Value or list of values representing user handle(s). - **is_id** - Boolean. Flag indicating whether user_handle stores user names or user ids """ # Pack args, call thread pool args = self._pack_params() results = mpw.build_thread_pool(users, _process_help, self.k_, args) # Get edit counts from query - all users not appearing have # an edit count of 0 user_set = set([long(user_id) for user_id in users]) edit_count = list() for row in results: edit_count.append([row[0], int(row[1])]) user_set.discard(row[0]) for user in user_set: edit_count.append([user, 0]) self._results = edit_count return self def _process_help(args): """ Worker thread method for edit count. """ # Unpack args users = args[0] state = args[1] metric_params = um.UserMetric._unpack_params(state) query_args_type = namedtuple('QueryArgs', 'date_start date_end') logging.debug(__name__ + ':: Executing EditCount on ' '%s users (PID = %s)' % (len(users), getpid())) # Call user period method umpd_obj = UMP_MAP[metric_params.group](users, metric_params) results = list() for t in umpd_obj: args = query_args_type(t.start, t.end) # Build edit count results list results += query_mod.edit_count_user_query(t.user, metric_params.project, args) return results # Rudimentary Testing if __name__ == '__main__': users = ['13234584', '13234503', '13234565', '13234585', '13234556'] e = EditCount(t=10000) # Check edit counts against for res in e.process(users): print res

31.669118

78

0.58997

538

4,307

4.507435

0.375465

0.040825

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0.018144

0.03299

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0.014706

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null

0

null

0

1

0

1

7f29a4a16372f3427a26db56be3bf0908d8eb335

7,210

py

Python

sdk/python/pulumi_aws_native/panorama/get_application_instance.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

29

2021-09-30T19:32:07.000Z

2022-03-22T21:06:08.000Z

sdk/python/pulumi_aws_native/panorama/get_application_instance.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

232

2021-09-30T19:26:26.000Z

2022-03-31T23:22:06.000Z

sdk/python/pulumi_aws_native/panorama/get_application_instance.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

4

2021-11-10T19:42:01.000Z

2022-02-05T10:15:49.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._enums import * __all__ = [ 'GetApplicationInstanceResult', 'AwaitableGetApplicationInstanceResult', 'get_application_instance', 'get_application_instance_output', ] @pulumi.output_type class GetApplicationInstanceResult: def __init__(__self__, application_instance_id=None, arn=None, created_time=None, default_runtime_context_device_name=None, device_id=None, health_status=None, last_updated_time=None, status=None, status_description=None, status_filter=None, tags=None): if application_instance_id and not isinstance(application_instance_id, str): raise TypeError("Expected argument 'application_instance_id' to be a str") pulumi.set(__self__, "application_instance_id", application_instance_id) if arn and not isinstance(arn, str): raise TypeError("Expected argument 'arn' to be a str") pulumi.set(__self__, "arn", arn) if created_time and not isinstance(created_time, int): raise TypeError("Expected argument 'created_time' to be a int") pulumi.set(__self__, "created_time", created_time) if default_runtime_context_device_name and not isinstance(default_runtime_context_device_name, str): raise TypeError("Expected argument 'default_runtime_context_device_name' to be a str") pulumi.set(__self__, "default_runtime_context_device_name", default_runtime_context_device_name) if device_id and not isinstance(device_id, str): raise TypeError("Expected argument 'device_id' to be a str") pulumi.set(__self__, "device_id", device_id) if health_status and not isinstance(health_status, str): raise TypeError("Expected argument 'health_status' to be a str") pulumi.set(__self__, "health_status", health_status) if last_updated_time and not isinstance(last_updated_time, int): raise TypeError("Expected argument 'last_updated_time' to be a int") pulumi.set(__self__, "last_updated_time", last_updated_time) if status and not isinstance(status, str): raise TypeError("Expected argument 'status' to be a str") pulumi.set(__self__, "status", status) if status_description and not isinstance(status_description, str): raise TypeError("Expected argument 'status_description' to be a str") pulumi.set(__self__, "status_description", status_description) if status_filter and not isinstance(status_filter, str): raise TypeError("Expected argument 'status_filter' to be a str") pulumi.set(__self__, "status_filter", status_filter) if tags and not isinstance(tags, list): raise TypeError("Expected argument 'tags' to be a list") pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="applicationInstanceId") def application_instance_id(self) -> Optional[str]: return pulumi.get(self, "application_instance_id") @property @pulumi.getter def arn(self) -> Optional[str]: return pulumi.get(self, "arn") @property @pulumi.getter(name="createdTime") def created_time(self) -> Optional[int]: return pulumi.get(self, "created_time") @property @pulumi.getter(name="defaultRuntimeContextDeviceName") def default_runtime_context_device_name(self) -> Optional[str]: return pulumi.get(self, "default_runtime_context_device_name") @property @pulumi.getter(name="deviceId") def device_id(self) -> Optional[str]: return pulumi.get(self, "device_id") @property @pulumi.getter(name="healthStatus") def health_status(self) -> Optional['ApplicationInstanceHealthStatus']: return pulumi.get(self, "health_status") @property @pulumi.getter(name="lastUpdatedTime") def last_updated_time(self) -> Optional[int]: return pulumi.get(self, "last_updated_time") @property @pulumi.getter def status(self) -> Optional['ApplicationInstanceStatus']: return pulumi.get(self, "status") @property @pulumi.getter(name="statusDescription") def status_description(self) -> Optional[str]: return pulumi.get(self, "status_description") @property @pulumi.getter(name="statusFilter") def status_filter(self) -> Optional['ApplicationInstanceStatusFilter']: return pulumi.get(self, "status_filter") @property @pulumi.getter def tags(self) -> Optional[Sequence['outputs.ApplicationInstanceTag']]: return pulumi.get(self, "tags") class AwaitableGetApplicationInstanceResult(GetApplicationInstanceResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return GetApplicationInstanceResult( application_instance_id=self.application_instance_id, arn=self.arn, created_time=self.created_time, default_runtime_context_device_name=self.default_runtime_context_device_name, device_id=self.device_id, health_status=self.health_status, last_updated_time=self.last_updated_time, status=self.status, status_description=self.status_description, status_filter=self.status_filter, tags=self.tags) def get_application_instance(application_instance_id: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetApplicationInstanceResult: """ Schema for ApplicationInstance CloudFormation Resource """ __args__ = dict() __args__['applicationInstanceId'] = application_instance_id if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('aws-native:panorama:getApplicationInstance', __args__, opts=opts, typ=GetApplicationInstanceResult).value return AwaitableGetApplicationInstanceResult( application_instance_id=__ret__.application_instance_id, arn=__ret__.arn, created_time=__ret__.created_time, default_runtime_context_device_name=__ret__.default_runtime_context_device_name, device_id=__ret__.device_id, health_status=__ret__.health_status, last_updated_time=__ret__.last_updated_time, status=__ret__.status, status_description=__ret__.status_description, status_filter=__ret__.status_filter, tags=__ret__.tags) @_utilities.lift_output_func(get_application_instance) def get_application_instance_output(application_instance_id: Optional[pulumi.Input[str]] = None, opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[GetApplicationInstanceResult]: """ Schema for ApplicationInstance CloudFormation Resource """ ...

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257

0.710402

818

7,210

5.892421

0.154034

0.078838

0.065353

0.06722

0.338174

0.237552

0.155187

0.074274

0

0.000173

0.198058

7,210

165

258

43.69697

0.833449

0.042718

0

0.104478

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0

0.180402

0.077169

0

1

0.11194

false

0

0.052239

0.08209

0.276119

0

null

0

1

0

null

0

1

7f3657c2007cb8e2fe9ba1e91d9490a327ac7d62

3,624

py

Python

libc/kernel/tools/update_all.py

Keneral/abionic

0f441ff93f011ed0069339e16f59e572134a5f3b

[ "Unlicense" ]

null

libc/kernel/tools/update_all.py

Keneral/abionic

0f441ff93f011ed0069339e16f59e572134a5f3b

[ "Unlicense" ]

null

libc/kernel/tools/update_all.py

Keneral/abionic

0f441ff93f011ed0069339e16f59e572134a5f3b

[ "Unlicense" ]

null

#!/usr/bin/env python # import sys, cpp, kernel, glob, os, re, getopt, clean_header, subprocess from defaults import * from utils import * def usage(): print """\ usage: %(progname)s [kernel-original-path] [kernel-modified-path] this program is used to update all the auto-generated clean headers used by the Bionic C library. it assumes the following: - a set of source kernel headers is located in 'external/kernel-headers/original', relative to the current android tree - a set of manually modified kernel header files located in 'external/kernel-headers/modified', relative to the current android tree - the clean headers will be placed in 'bionic/libc/kernel/arch-<arch>/asm', 'bionic/libc/kernel/common', etc.. """ % { "progname" : os.path.basename(sys.argv[0]) } sys.exit(0) try: optlist, args = getopt.getopt(sys.argv[1:], '') except: # unrecognized option sys.stderr.write("error: unrecognized option\n") usage() if len(optlist) > 0 or len(args) > 2: usage() modified_dir = get_kernel_headers_modified_dir() if len(args) == 1 or len(args) == 2: original_dir = args[0] if not os.path.isdir(original_dir): panic("Not a directory: %s\n" % original_dir) if len(args) == 2: modified_dir = args[1] if not os.path.isdir(modified_dir): panic("Not a directory: %s\n" % modified_dir) else: original_dir = get_kernel_headers_original_dir() if not os.path.isdir(original_dir): panic("Missing directory, please specify one through command-line: %s\n" % original_dir) if not os.path.isdir(modified_dir): modified_dir = None # Find all source files in 'original'. sources = dict() original_dir = os.path.normpath(original_dir) original_dir_len = len(original_dir) + 1 for root, _, files in os.walk(original_dir): for file in files: _, ext = os.path.splitext(file) if ext == ".h": rel_path = os.path.normpath(os.path.join(root, file)) rel_path = rel_path[original_dir_len:] # Check to see if there is a modified header to use instead. if modified_dir and os.path.exists(os.path.join(modified_dir, rel_path)): sources[rel_path] = False else: sources[rel_path] = True b = BatchFileUpdater() kernel_dir = get_kernel_dir() for arch in kernel_archs: b.readDir(os.path.join(kernel_dir, "arch-%s" % arch)) b.readDir(os.path.join(kernel_dir, "common")) oldlen = 120 android_root_len = len(get_android_root()) + 1 for rel_path in sorted(sources): if sources[rel_path]: src_dir = original_dir src_str = "<original>/" else: src_dir = modified_dir src_str = "<modified>/" dst_path, newdata = clean_header.cleanupFile(kernel_dir, src_dir, rel_path) if not dst_path: continue dst_path = os.path.join(kernel_dir, dst_path) b.readFile(dst_path) r = b.editFile(dst_path, newdata) if r == 0: state = "unchanged" elif r == 1: state = "edited" else: state = "added" # dst_path is guaranteed to include android root. rel_dst_path = dst_path[android_root_len:] str = "cleaning: %-*s -> %-*s (%s)" % (35, src_str + rel_path, 35, rel_dst_path, state) if sys.stdout.isatty(): print "%-*s" % (oldlen, str), if (r == 0): print "\r", else: print "\n", oldlen = 0 else: print str oldlen = len(str) print "%-*s" % (oldlen, "Done!") b.updateGitFiles() sys.exit(0)

29.463415

96

0.631347

517

3,624

4.274662

0.290135

0.038009

0.022624

0.01991

0.174208

0.131674

0.10362

0.028959

0

0.008788

0.246413

3,624

122

97

29.704918

0.800439

0.050773

0

0.170213

0

0.010638

0.25364

0.052126

0

null

0

0.031915

null

0.06383

0

null

0

null

0

1

0

1

7f3776d641ecf1c2ca820e1d8531b10c65ba6e21

1,555

py

Python

convert_pfm_json.py

biolib/deepclip

06e0a3c431db76745b6674afabc4d171f19b3eb0

[ "MIT" ]

7

2019-07-23T10:20:11.000Z

2022-03-14T14:46:13.000Z

convert_pfm_json.py

biolib/deepclip

06e0a3c431db76745b6674afabc4d171f19b3eb0

[ "MIT" ]

10

2019-09-05T22:45:04.000Z

2022-03-21T08:40:49.000Z

convert_pfm_json.py

biolib/deepclip

06e0a3c431db76745b6674afabc4d171f19b3eb0

[ "MIT" ]

5

2019-07-23T10:20:46.000Z

2021-11-14T07:18:05.000Z

#!/usr/bin/env python import numpy as np import matplotlib.pyplot as plt import argparse import json parser = argparse.ArgumentParser() parser.add_argument("-seqs", required=True, type=str, default=None, help="File containing sequences") args = parser.parse_args() dicts = [] with open(args.seqs,'r') as inf: for line in inf: dicts.append(eval(line)) try: assert len(dicts) == 5 except AssertionError: print "AssertionError: assert len(dicts) == 5" print "len(dicts) =",str(len(dicts)) print str(dicts) exit(1) sizes = [4,5,6,7,8] tot_info = [] for i in range(len(dicts)): temp_pfm = np.array(dicts[i]['PFM_'+str(sizes[i])+'_0']).T #print temp_pfm.shape temp_pfm1 = temp_pfm + 0.000000001 tot_info.append([np.sum(np.log2(4) + np.sum(temp_pfm * np.log2(temp_pfm1), axis=1, keepdims = True))/len(temp_pfm), sizes[i]]) #print tot_info tot_info.sort() tot_info.reverse() #print tot_info new_json = {} for mp in range(len(tot_info)): for qq in range(len(dicts)): if 'PFM_'+str(tot_info[mp][1])+'_0' in dicts[qq]: print 'PFM_'+str(tot_info[mp][1])+'_0' new_json['PFM_'+str(tot_info[mp][1])+'_0'] = dicts[qq]['PFM_'+str(tot_info[mp][1])+'_0'] with open('PFMs.json', 'w') as outfile: json.dump(new_json, outfile) with open('PFM_order.txt', 'w') as txt: print >> txt, "name, info_per_bp" for i in tot_info: print >> txt, "PFM_" +str(i[1])+ "_0,", "{0:.3f}".format(i[0])

23.923077

130

0.607074

246

1,555

3.678862

0.353659

0.092818

0.039779

0.057459

0.075138

0

0.031173

0.216077

1,555

64

131

24.296875

0.711239

0.04373

0

0.112011

0

0.071429

0

null

0

0.095238

null

0.142857

0

null

0

null

0

1

0

1

7f3df9c6bc7653f174e6f2a144e946916c638b4e

1,467

py

Python

rewx/components.py

akrk1986/re-wx

2f50d1c0afe77313548847b279327d7041623721

[ "MIT" ]

null

rewx/components.py

akrk1986/re-wx

2f50d1c0afe77313548847b279327d7041623721

[ "MIT" ]

null

rewx/components.py

akrk1986/re-wx

2f50d1c0afe77313548847b279327d7041623721

[ "MIT" ]

null

""" All components and wrappers currently supported by rewx. """ import wx import wx.adv import wx.lib.scrolledpanel import wx.media ActivityIndicator = wx.ActivityIndicator Button = wx.Button BitmapButton = wx.BitmapButton CalendarCtrl = wx.adv.CalendarCtrl CheckBox = wx.CheckBox # CollapsiblePane = wx.CollapsiblePane ComboBox = wx.ComboBox Dropdown = ComboBox Frame = wx.Frame Gauge = wx.Gauge ListBox = wx.ListBox ListCtrl = wx.ListCtrl Panel = wx.Panel RadioBox = wx.RadioBox RadioButton = wx.RadioButton ScrolledPanel = wx.lib.scrolledpanel.ScrolledPanel Slider = wx.Slider SpinCtrl = wx.SpinCtrl SpinCtrlDouble = wx.SpinCtrlDouble StaticBitmap = wx.StaticBitmap StaticBox = wx.StaticBox StaticLine = wx.StaticLine StaticText = wx.StaticText TextCtrl = wx.TextCtrl ToggleButton = wx.ToggleButton MediaCtrl = wx.media.MediaCtrl class Grid(wx.Panel): """ Wrapper type for creating a panel with a Grid Sizer """ pass class Block(wx.Panel): """ Wrapper type for creating a panel with a BoxSizer """ class TextArea(wx.TextCtrl): """ TextCtrl Wrapper with it's style pre-baked to be TE_MULTILINE """ pass class SVG(wx.StaticBitmap): """ Wrapper for converting an SVG to a scaled StaticBitmap """ pass class SVGButton(wx.BitmapButton): """ Wrapper for creating an SVG backed BitmapButton. """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs)

20.957143

58

0.720518

180

1,467

5.822222

0.405556

0.030534

0.034351

0.076336

0

0.186094

1,467

70

59

20.957143

0.877722

0.246762

0

0.076923

0

1

0.025641

false

0.076923

0.102564

0

0.25641

0

null

0

null

0

1

0

1

7f4786e590d0a9418a3d92cb5ddc03d945909da4

6,840

py

Python

script/proxycheck/check.py

kenshinx/rps

3d141056f3512598525430ecc9ddb1ee79b887cf

[ "MIT" ]

6

2017-06-20T09:44:03.000Z

2018-07-28T06:44:10.000Z

script/proxycheck/check.py

kenshinx/rps

3d141056f3512598525430ecc9ddb1ee79b887cf

[ "MIT" ]

null

script/proxycheck/check.py

kenshinx/rps

3d141056f3512598525430ecc9ddb1ee79b887cf

[ "MIT" ]

3

2017-09-23T16:48:18.000Z

2018-05-26T19:12:12.000Z

#!/usr/bin/env python import re import sys import time import logging import asyncore import optparse from datetime import datetime import schedule from pymongo import MongoReplicaSetClient, MongoClient from async_s5 import AsyncSocks5Client from async_http import AsyncHTTPClient from async_http_tunnel import AsyncHTTPTunnelClient from conf import (MONGO_USERNAME, MONGO_PASSWORD, MONGO_HOST, MONGO_REPLICA_SET, LOG_LEVEL, LOG_FORMAT) class BaseCheck(object): HTTP_PATTERN = re.compile("^HTTP\/1\.\d ([0-9]{3}) .*") HTTP_HOST = "www.baidu.com" HTTP_PORT = 80 HTTP_PAYLOAD = "domain=.baidu.com" WHOIS_HOST = "133.130.126.119" WHOIS_PORT = 43 WHOIS_PAYLOAD = "google.com" def __init__(self, db, client, payload_proto, concurrency): self.dbname = db self.client =client self.payload_proto = payload_proto self.concurrency = concurrency self.conn = self.createConn() @property def db(self): if self.dbname == "rps": return self.conn.rps elif self.dbname == "rps_test": return self.conn.rps_test else: raise Exception("Invalid DataBase <%s>" %self.dbname) def createConn(self): addr = "mongodb://%s:%s@%s" %(MONGO_USERNAME, MONGO_PASSWORD, MONGO_HOST) conn = MongoClient(addr, replicaSet = MONGO_REPLICA_SET) return conn def getProxyList(self): raise NotImplemetedError() def updateProxy(self): raise NotImplemetedError() def checkHTTPResp(self, resp): if not resp or resp == " ": return False try: code = self.HTTP_PATTERN.findall(resp)[0] except Exception, e: return False if code != "200": return False return self.HTTP_PAYLOAD in resp def checkWhoisResp(self, resp, proxy_ip): if not resp or resp == " ": return False return (resp == "%s:%s:%s" %(self.WHOIS_PAYLOAD, proxy_ip, self.WHOIS_PAYLOAD)) def check(self, client, host, port): resp = client.buffer.getvalue() client.buffer.close() if self.payload_proto == "http": is_ok = self.checkHTTPResp(resp) elif self.payload_proto == "whois": is_ok = self.checkWhoisResp(resp, host) else: raise Exception("unsupport payload protocol '%s'" %self.payload_proto) return is_ok def afterLoop(self, clients): for c in clients: if self.check(c, c.host, c.port): print "%s:%d is ok" %(c.host, c.port) self.updateProxy(c.host, c.port, True) else: print "%s:%d is bad" %(c.host, c.port) self.updateProxy(c.host, c.port, False) def run(self): clients = [] socket_map = {} for r in self.getProxyList(): try: if self.payload_proto == "whois": clients.append(self.client(r["host"], r["port"], self.WHOIS_HOST, self.WHOIS_PORT, "whois", socket_map)) else: clients.append(self.client(r["host"], r["port"], self.HTTP_HOST, self.HTTP_PORT, "http", socket_map)) except Exception, e: continue if len(clients) >= self.concurrency: asyncore.loop(timeout=5, use_poll=True, map=socket_map) self.afterLoop(clients) clients = [] socket_map = {} if len(clients) < self.concurrency: asyncore.loop(timeout=5, use_poll=True, map=socket_map) self.afterLoop(clients) class HTTPProxyCheck(BaseCheck): def __init__(self, db, payload_proto, concurrency): BaseCheck.__init__(self, db, AsyncHTTPClient, "http", concurrency) def getProxyList(self): for r in self.db.http.find(): yield r def updateProxy(self, host, port, enable): self.db.http.update({"host":host, "port":port}, {"$set":{"enable":int(enable), "last_check":datetime.now()}}) class HTTPTunnelProxyCheck(BaseCheck): def __init__(self, db, payload_proto, concurrency): BaseCheck.__init__(self, db, AsyncHTTPTunnelClient, payload_proto, concurrency) def getProxyList(self): for r in self.db.http_tunnel.find({"source":{"$in":["nd", "nf"]}}): yield r def updateProxy(self, host, port, enable): self.db.http_tunnel.update({"host":host, "port":port}, {"$set":{"enable":int(enable), "last_check":datetime.now()}}) class Socks5ProxyCheck(BaseCheck): def __init__(self, db, payload_proto, concurrency): BaseCheck.__init__(self, db, AsyncSocks5Client, payload_proto, concurrency) def getProxyList(self): for r in self.db.socks5.find({"source":{"$in":["nd", "nf"]}}): yield r def updateProxy(self, host, port, enable): self.db.socks5.update({"host":host, "port":port}, {"$set":{"enable":int(enable), "last_check":datetime.now()}}) def usage(): return "Usage: %s <http|http_tunnel|socks5> [options]" %(sys.argv[0]) if __name__ == "__main__": parser = optparse.OptionParser(usage= usage()) parser.add_option("-d", "--database", action="store", dest="db", type="string", default="rps_test", help="[rps|rps_test]") parser.add_option("-c", "--concurrency", action="store", dest="concurrency", type="int", default=1000) parser.add_option("-e", "--every", action="store", dest="every", type="int", default=30, help="run check every %default minutes") parser.add_option("-p", "--payload_proto", action="store", dest="payload_proto", type="string", default="whois", help="payload protocol default be whois for http_tunnel \ and socks5 proxy, http for http proxy") options, args = parser.parse_args() logging.basicConfig(level=LOG_LEVEL, format=LOG_FORMAT) if len(sys.argv) < 2: print usage() sys.exit(1) protocol = sys.argv[1] if protocol == "http_tunnel": checker = HTTPTunnelProxyCheck(options.db, options.payload_proto, options.concurrency) elif protocol == "http": checker = HTTPProxyCheck(options.db, options.payload_proto, options.concurrency) elif protocol == "socks5": checker = Socks5ProxyCheck(options.db, options.payload_proto, options.concurrency) else: print usage() sys.exit(1) schedule.every(options.every).minutes.do(checker.run).run() while True: schedule.run_pending() time.sleep(1)

31.232877

100

0.594591

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4.981084

0.220681

0.051646

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1

7f495918acf00767d9fbeb784d409f5760173565

19,291

py

Python

attic/library/kepler.py

vdods/heisenberg

66921b80c2d035e5f10e0af4d0cec21d5470dbd1

[ "MIT" ]

3

2018-01-04T07:40:14.000Z

2021-02-19T15:27:10.000Z

attic/library/kepler.py

vdods/heisenberg

66921b80c2d035e5f10e0af4d0cec21d5470dbd1

[ "MIT" ]

null

attic/library/kepler.py

vdods/heisenberg

66921b80c2d035e5f10e0af4d0cec21d5470dbd1

[ "MIT" ]

null

# NOTE: This changes a/b to produce a floating point approximation of that # ratio, not the integer quotient. For integer quotient, use a//b instead. from __future__ import division import fourier_parameterization import numpy as np import multiindex import symbolic import sympy import tensor # TODO: look at and use https://en.wikipedia.org/wiki/Elliptic_orbit class KeplerProblemSymbolicContext: def __init__ (self, configuration_space_dimension, use_constraint=True): """ Use sympy to define various functions and automatically compute their derivatives, crunching them down to (probably efficient) Python lambda functions. """ assert configuration_space_dimension > 0 self.X = X = configuration_space_dimension # Indicates if the constraint should be used or not. self.use_constraint = use_constraint # q is position q = symbolic.tensor('q', (X,)) # v is velocity v = symbolic.tensor('v', (X,)) # g is gravitational constant g = symbolic.variable('g') # lm is the lagrange multiplier lm = symbolic.variable('lm') # qv is the q and v variables in one array self.qv = qv = np.array(list(q) + list(v)) # P is all variables self.P = P = np.array(list(q) + list(v) + [g, lm]) # U is potential energy # U = -g / sympy.sqrt(np.sum(np.square(q))) U = -1 / sympy.sqrt(np.sum(np.square(q))) # K is kinetic energy -- NOTE: There is unit mass, so the momentum is the same as the velocity. # This fact is used in defining the Hamiltonian vector field. K = np.sum(np.square(v)) / 2 # H is total energy (Hamiltonian) H = K + U # L is the difference in energy (Lagrangian) L = K - U # H_0 is the constant value which defines the constraint (that the Hamiltonian must equal that at all times) self.H_0 = H_0 = -1.8 # This is the constraint. The extra division is used to act as a metric on the lagrange multiplier coordinate. C = (H - H_0)**2 / 2 / 100 # Construct the Hamiltonian vector field of H. dH = symbolic.D(H, qv) # Construct the symplectic form on phase space. omega = np.zeros((2*X,2*X), dtype=np.int) omega[0:X,X:2*X] = np.eye(X,X) omega[X:2*X,0:X] = -np.eye(X,X) # Symplectic gradient of H, aka the Hamiltonian vector field. X_H = tensor.contract('ij,j', omega, dH, dtype=object) # DL = symbolic.D(L, P) # # DH = symbolic.D(H, P) # DC = symbolic.D(C, P) # This is the integrand of the action functional Lambda_integrand = L #+ lm*C # This is the integrand of the first variation of the action DLambda_integrand = symbolic.D(Lambda_integrand, P) # This is the integrand for the constraint functional C_integrand = C # Solving the constrained optimization problem by minimizing the norm squared of DLambda. # DDLambda_integrand = symbolic.D(DLambda_integrand, P) # Obj_integrand = (np.sum(np.square(DLambda_integrand))/2)#.simplify() # DObj_integrand = symbolic.D(Obj_integrand, P) assert not use_constraint Obj_integrand = Lambda_integrand DObj_integrand = DLambda_integrand # print 'Obj_integrand =', Obj_integrand # print '' # print 'DObj_integrand =', DObj_integrand # print '' replacement_d = {'dtype=object':'dtype=float'} # self.L = symbolic.lambdify(L, P, replacement_d=replacement_d) # self.DL = symbolic.lambdify(DL, P, replacement_d=replacement_d) # self.DDL = symbolic.lambdify(DDL, P, replacement_d=replacement_d) # self.H = symbolic.lambdify(H, P, replacement_d=replacement_d) # self.DH = symbolic.lambdify(DH, P, replacement_d=replacement_d) self.H = symbolic.lambdify(H, P, replacement_d=replacement_d) self.X_H = symbolic.lambdify(X_H, qv, replacement_d=replacement_d) self.Lambda_integrand = symbolic.lambdify(Lambda_integrand, P, replacement_d=replacement_d) self.DLambda_integrand = symbolic.lambdify(DLambda_integrand, P, replacement_d=replacement_d) self.Obj_integrand = symbolic.lambdify(Obj_integrand, P, replacement_d=replacement_d) self.DObj_integrand = symbolic.lambdify(DObj_integrand, P, replacement_d=replacement_d) self.C_integrand = symbolic.lambdify(C_integrand, P, replacement_d=replacement_d) class KeplerProblemContext(KeplerProblemSymbolicContext): def __init__ (self, closed_time_interval, frequencies, use_constraint=True): # Call superclass constructor. KeplerProblemSymbolicContext.__init__(self, 2, use_constraint=use_constraint) X = self.X # Number of derivatives in phase space (2, i.e. position and velocity) self.D = D = 2 self.fourier_curve_parameterization = fourier_parameterization.Planar(frequencies, np.array(range(D)), closed_time_interval) # 2 indicates that there are two coefficients for each (cos,sin) pair self.position_velocity_shape = position_velocity_shape = (X,D) self.fourier_coefficients_shape = fourier_coefficients_shape = self.fourier_curve_parameterization.fourier_coefficients_shape #(X,F,2) self.gravitational_constant_shape = gravitational_constant_shape = (1,) self.lagrange_multipliers_shape = lagrange_multipliers_shape = (1,) self.time_domain_parameter_count = time_domain_parameter_count = multiindex.prod(position_velocity_shape) + multiindex.prod(gravitational_constant_shape) + multiindex.prod(lagrange_multipliers_shape) self.frequency_domain_parameter_count = frequency_domain_parameter_count = multiindex.prod(fourier_coefficients_shape) + multiindex.prod(gravitational_constant_shape) + multiindex.prod(lagrange_multipliers_shape) def make_frequency_domain_parameters_and_views (self): frequency_domain_parameters = np.zeros((self.frequency_domain_parameter_count,), dtype=float) # Define names for the views. Note that when assigning into the views, the # [:] notation is necessary, otherwise el_form_fourier_coefficients_part and # el_form_lagrange_multipliers_part will be reassigned to be different references # altogether, and will no longer be views into euler_lagrange_form_buffer. fd_fc,fd_g,fd_lm = self.frequency_domain_views(frequency_domain_parameters) return frequency_domain_parameters,fd_fc,fd_g,fd_lm def time_domain_views (self, time_domain_parameters): """ Returns a tuple (td_qv,td_g,td_lm), where each of the elements are views into: td_qv[x,d] : The position and velocity tensor. The x index indexes the configuration space (i.e. x,y,z axis) while the d index indexes the order of derivative (i.e. 0 is position, 1 is velocity). td_g[:] : The scalar gravitational constant. td_lm[:] : The Lagrange multiplier. Note that slice notation must be used to assign to these views, otherwise a new, unrelated local variable will be declared. """ td_qv_count = multiindex.prod(self.position_velocity_shape) td_g_count = multiindex.prod(self.gravitational_constant_shape) td_lm_count = multiindex.prod(self.lagrange_multipliers_shape) assert time_domain_parameters.shape == (self.time_domain_parameter_count,) td_qv = time_domain_parameters[:td_qv_count].reshape(self.position_velocity_shape, order='F') td_g = time_domain_parameters[td_qv_count:td_qv_count+td_g_count].reshape(self.gravitational_constant_shape, order='F') td_lm = time_domain_parameters[td_qv_count+td_g_count:].reshape(self.lagrange_multipliers_shape, order='F') return td_qv,td_g,td_lm def frequency_domain_views (self, frequency_domain_parameters): """ Returns a tuple (fd_fc,fd_g,fd_lm), where each of the elements are views into: fd_fc[x,f,c] : The Fourier coefficients of the curve. The x index indexes the configuration space (i.e. x,y,z axis), the f index denotes the frequency, while c indexes which of cos or sin the coefficient is for (0 for cos, 1 for sin). fd_g[:] : The scalar gravitational constant. fd_lm[:] : The Lagrange multiplier. Note that slice notation must be used to assign to these views, otherwise a new, unrelated local variable will be declared. """ fd_fc_count = multiindex.prod(self.fourier_coefficients_shape) fd_g_count = multiindex.prod(self.gravitational_constant_shape) fd_lm_count = multiindex.prod(self.lagrange_multipliers_shape) fd_fc = frequency_domain_parameters[:fd_fc_count].reshape(self.fourier_coefficients_shape, order='F') fd_g = frequency_domain_parameters[fd_fc_count:fd_fc_count+fd_g_count].reshape(self.gravitational_constant_shape, order='F') fd_lm = frequency_domain_parameters[fd_fc_count+fd_g_count:].reshape(self.lagrange_multipliers_shape, order='F') return fd_fc,fd_g,fd_lm def curve_at_t (self, t, fc): return np.einsum('dfxc,fc->xd', self.fourier_curve_parameterization.fourier_tensor[t,:,:,:], fc) def curve (self, fc): return np.einsum('tdfxc,fc->txd', self.fourier_curve_parameterization.fourier_tensor, fc) def time_domain_variation_pullback_at_t (self, time_domain_parameter_variation, t): """Uses the Fourier-transform-parameterization of the curve to pull back a qv-g-lm vector to be a fc-g-lm vector.""" assert time_domain_parameter_variation.shape == (self.time_domain_parameter_count,) td_qv,td_g,td_lm = self.time_domain_views(time_domain_parameter_variation) retval = np.ndarray((self.frequency_domain_parameter_count,), dtype=float) fd_fc,fd_g,fd_lm = self.frequency_domain_views(retval) fd_fc[:] = np.einsum('xd,dfxc->fc', td_qv, self.fourier_curve_parameterization.fourier_tensor[t,:,:,:,:]) fd_g[:] = td_g fd_lm[:] = td_lm return retval def time_domain_parameters_at_t (self, t, frequency_domain_parameters): retval = np.ndarray((self.time_domain_parameter_count,), dtype=float) td_qv,td_g,td_lm = self.time_domain_views(retval) fd_fc,fd_g,fd_lm = self.frequency_domain_views(frequency_domain_parameters) td_qv[:] = self.curve_at_t(t, fd_fc) td_g[:] = fd_g td_lm[:] = fd_lm return retval def Lambda (self, frequency_domain_parameters): return np.dot( self.fourier_curve_parameterization.half_open_time_interval_deltas, np.fromiter(( self.Lambda_integrand(self.time_domain_parameters_at_t(t, frequency_domain_parameters)) for t in xrange(self.fourier_curve_parameterization.T) ), float, count=self.fourier_curve_parameterization.T) ) def DLambda_at_time (self, t, frequency_domain_parameters): return self.time_domain_variation_pullback_at_t(self.DLambda_integrand(self.time_domain_parameters_at_t(t, frequency_domain_parameters)), t) def DLambda (self, frequency_domain_parameters, batch_t_v=None): if batch_t_v is None: batch_t_v = xrange(self.fourier_curve_parameterization.T) batch_size = self.fourier_curve_parameterization.T else: batch_size = len(batch_t_v) return sum(self.fourier_curve_parameterization.half_open_time_interval_deltas[t]*self.DLambda_at_time(t,frequency_domain_parameters) for t in batch_t_v) def Obj (self, frequency_domain_parameters): return np.dot( self.fourier_curve_parameterization.half_open_time_interval_deltas, np.fromiter(( self.Obj_integrand(self.time_domain_parameters_at_t(t, frequency_domain_parameters)) for t in xrange(self.fourier_curve_parameterization.T) ), float, count=self.fourier_curve_parameterization.T) ) def DObj_at_time (self, t, frequency_domain_parameters): return self.time_domain_variation_pullback_at_t(self.DObj_integrand(self.time_domain_parameters_at_t(t, frequency_domain_parameters)), t) def DObj (self, frequency_domain_parameters, batch_t_v=None): if batch_t_v is None: batch_t_v = xrange(self.fourier_curve_parameterization.T) batch_size = self.fourier_curve_parameterization.T else: batch_size = len(batch_t_v) return sum(self.fourier_curve_parameterization.half_open_time_interval_deltas[t]*self.DObj_at_time(t,frequency_domain_parameters) for t in batch_t_v) def C (self, frequency_domain_parameters): return np.dot( self.fourier_curve_parameterization.half_open_time_interval_deltas, np.fromiter(( self.C_integrand(self.time_domain_parameters_at_t(t, frequency_domain_parameters)) for t in xrange(self.fourier_curve_parameterization.T) ), float, count=self.fourier_curve_parameterization.T) ) if __name__ == '__main__': import matplotlib.pyplot as plt import polynomial import scipy.integrate import scipy.signal import warnings warnings.filterwarnings('ignore', module='matplotlib') kpsc = KeplerProblemSymbolicContext(2, use_constraint=False) time = np.linspace(0.0, 6.0, 20000) qv_0 = np.array([1.5, 0.0, 0.0, 0.5]) qv = scipy.integrate.odeint(lambda qv,t:kpsc.X_H(qv), qv_0, time) # TODO: Use distance squared, then fit a parabola near the min and solve # for a better approximation of the min using subsample accuracy. jet_dist_squared = np.sum(np.square(qv - qv_0), axis=1) local_min_index_v = filter(lambda i:jet_dist_squared[i-1] > jet_dist_squared[i] and jet_dist_squared[i] < jet_dist_squared[i+1], xrange(1,len(jet_dist_squared)-2)) print('locally minimizing jet-distances-squared:') for local_min_index in local_min_index_v: print(' index: {0:3}, time: {1:17}, jet_dist_squared: {2:17}'.format(local_min_index, time[local_min_index], jet_dist_squared[local_min_index])) assert len(local_min_index_v) > 0 assert local_min_index_v[0] > 0 estimated_period_time_index = local_min_index_v[0] assert 5 < estimated_period_time_index < len(time)-5 if True: # Subtracting the center of the time window is necessary for the polynomial fit to be numerically stable. time_offset = time[estimated_period_time_index] time_window = time[estimated_period_time_index-5:estimated_period_time_index+6] - time_offset jet_dist_squared_window = jet_dist_squared[estimated_period_time_index-5:estimated_period_time_index+6] samples = np.vstack((time_window, jet_dist_squared_window)).T # Fit a quadratic polynomial coefficients = polynomial.fit(samples, 2) quadratically_approximated = np.vectorize(polynomial.python_function_from_coefficients(coefficients))(time_window) max_abs_approximation_error = np.max(np.abs(quadratically_approximated - jet_dist_squared_window)) print 'max_abs_approximation_error for jet_dist_squared near minimum:', max_abs_approximation_error assert coefficients[2] > 0.0 # Solve for the critical point, adding back in the time offset that was subtracted. estimated_period = -0.5 * coefficients[1] / coefficients[2] + time_offset print 'estimated_period:', estimated_period # Save the old time for plotting. old_time = time # Re-run the ODE integrator using the estimated period. time = np.linspace(0.0, estimated_period, 10001) # qv_0 is unchanged. qv = scipy.integrate.odeint(lambda qv,t:kpsc.X_H(qv), qv_0, time) # Re-sample time and qv to be sparser. time = time[::10] assert len(time) == 1001 qv = qv[::10,:] assert qv.shape == (1001,4) qv = qv[:-1,:] assert qv.shape == (1000,4) # estimated_period = time[estimated_period_time_index] H_v = np.apply_along_axis(kpsc.H, 1, np.hstack((qv, np.zeros((qv.shape[0],2), dtype=float)))) row_count = 2 col_count = 3 fig,axes = plt.subplots(row_count, col_count, squeeze=False, figsize=(8*col_count,8*row_count)) axis = axes[0][0] axis.set_title('position') axis.scatter(qv[:,0], qv[:,1], s=1) axis.set_aspect('equal') axis.scatter([0], [0], color='black') axis = axes[0][1] axis.set_title('velocity') axis.scatter(qv[:,2], qv[:,3], s=1) axis.set_aspect('equal') axis.scatter([0], [0], color='black') axis = axes[1][0] axis.set_title('jet distance from initial condition\nestimated period: {0}'.format(estimated_period)) for local_min_index in local_min_index_v: axis.axvline(old_time[local_min_index]) axis.plot(old_time, jet_dist_squared) axis = axes[1][1] axis.set_title('Hamiltonian w.r.t. time\nmin-to-max range: {0}'.format(np.max(H_v)-np.min(H_v))) axis.plot(time[:-1], H_v) frequencies = np.linspace(-40, 40, 40+40+1, dtype=int) derivatives = np.array([0]) # fp = fourier_parameterization.Planar(frequencies, derivatives, time[:estimated_period_time_index+1]) # fc = np.einsum('fctx,tx->fc', fp.inverse_fourier_tensor, qv[:estimated_period_time_index,0:2]) fp = fourier_parameterization.Planar(frequencies, derivatives, time) fc = np.einsum('fctx,tx->fc', fp.inverse_fourier_tensor, qv[:,0:2]) pickle_filename = 'kepler.pickle' with open(pickle_filename, 'wb') as f: import pickle pickle.dump( { 'frequencies':fp.frequencies, 'period':fp.period, 'fourier_coefficient_tensor':fc }, f ) print 'wrote "{0}"'.format(pickle_filename) reconstructed_q = np.einsum('tdfxc,fc->dtx', fp.fourier_tensor, fc) assert reconstructed_q.shape[0] == 1 reconstructed_q = reconstructed_q[0,:,:] max_expected_error = 1.0e-3 max_reconstruction_errors = np.max(np.abs(reconstructed_q-qv[:,0:2]), axis=0) print 'max_reconstruction_errors:', max_reconstruction_errors if max_expected_error is not None: assert np.all(max_reconstruction_errors <= max_expected_error), 'at least one component of max_reconstruction_errors ({0}) exceeded max_expected_error ({1})'.format(max_reconstruction_errors, max_expected_error) axis = axes[0][2] axis.set_title('reconstructed position\nmax reconstruction error: {0}'.format(np.max(max_reconstruction_errors))) axis.plot(qv[:,0], qv[:,1], lw=5, color='green', alpha=0.2) axis.scatter(reconstructed_q[:,0], reconstructed_q[:,1], s=1) axis.set_aspect('equal') axis.scatter([0], [0], color='black') axis = axes[1][2] axis.set_title('log abs of Fourier coefficients') axis.semilogy(fp.frequencies, np.linalg.norm(fc, axis=1), 'o') axis.semilogy(fp.frequencies, np.linalg.norm(fc, axis=1), lw=5, alpha=0.2) fig.tight_layout() filename = 'kepler.test.png' plt.savefig(filename) print('wrote "{0}"'.format(filename)) plt.close(fig)

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null

0

null

0

1

0

1

7f497463579627def6a6bc8b025032e2117e0a72

1,029

py

Python

flaskr/tripods/tripod.py

ardtieboy/campy

dc59c62395aa45c0d125f6187a8a3b19521469d3

[ "MIT" ]

null

flaskr/tripods/tripod.py

ardtieboy/campy

dc59c62395aa45c0d125f6187a8a3b19521469d3

[ "MIT" ]

null

flaskr/tripods/tripod.py

ardtieboy/campy

dc59c62395aa45c0d125f6187a8a3b19521469d3

[ "MIT" ]

null

import pantilthat class Tripod(object): def __init__(self): self.horizontal = 0 self.vertical = 0 self.step_size = 5 pantilthat.pan(0) pantilthat.tilt(0) def left(self): if (-80 < self.horizontal): self.horizontal = self.horizontal - self.step_size print('moving left ' + str(self.horizontal)) pantilthat.pan(self.horizontal) def right(self): if (self.horizontal < 80): self.horizontal = self.horizontal + self.step_size print('moving right ' + str(self.horizontal)) pantilthat.pan(self.horizontal) def up(self): if (-80 < self.vertical): self.vertical = self.vertical - self.step_size print('moving up ' + str(self.vertical)) pantilthat.tilt(self.vertical) def down(self): if (self.vertical < 80): self.vertical = self.vertical + self.step_size print('moving down ' + str(self.vertical)) pantilthat.tilt(self.vertical)

30.264706

62

0.597668

120

1,029

5.05

0.208333

0.254125

0.09901

0.112211

0.669967

0.613861

0.478548

0.323432

0

0.017687

0.285714

1,029

34

63

30.264706

0.806803

0

0.142857

0

0.045631

0

1

0.178571

false

0

0.035714

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0

null

1

0

null

0

1

7f4a9a45f9839d4156f378a8a84cdc5c95302052

837

py

Python

tests/test_api_key.py

sodrooome/bmaclient

8d3609a63e3e2576642ecde77245ee0b02225e31

[ "MIT" ]

null

tests/test_api_key.py

sodrooome/bmaclient

8d3609a63e3e2576642ecde77245ee0b02225e31

[ "MIT" ]

null

tests/test_api_key.py

sodrooome/bmaclient

8d3609a63e3e2576642ecde77245ee0b02225e31

[ "MIT" ]

null

import os import unittest from bmaclient.utils import get_api_key_from_file DATA_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'data') class APIKeyTest(unittest.TestCase): def test_get_api_key_from_file(self): path = os.path.join(DATA_DIR, 'api_key.txt') key = get_api_key_from_file(path) self.assertEqual(key, 'THIS_IS_API_KEY_VALUE') def test_get_api_key_from_empty_file(self): path = os.path.join(DATA_DIR, 'api_key_empty.txt') key = get_api_key_from_file(path) self.assertEqual(key, '') def test_get_api_key_from_empty_file_strict(self): path = os.path.join(DATA_DIR, 'api_key_empty.txt') with self.assertRaises(ValueError): key = get_api_key_from_file(path, strict=True) if __name__ == '__main__': unittest.main()

28.862069

75

0.706093

129

837

4.124031

0.27907

0.12406

0.118421

0.171053

0.599624

0.567669

0.530075

0.484962

0.383459

0

0.18399

837

28

76

29.892857

0.778917

0

0.210526

0

0.09319

0.02509

0

0.157895

1

0.157895

false

0

0.157895

0

0.368421

0

null

0

1

0

null

0

1

7f64ce20d2bc7463fbe8a47e2e961d23f53650a4

14,042

py

Python

source/StimulationScreen.py

FelixTheoret/Ergocycle

0656e6cb43b535dd2f845420ad71742b1b85e412

[ "MIT" ]

null

source/StimulationScreen.py

FelixTheoret/Ergocycle

0656e6cb43b535dd2f845420ad71742b1b85e412

[ "MIT" ]

null

source/StimulationScreen.py

FelixTheoret/Ergocycle

0656e6cb43b535dd2f845420ad71742b1b85e412

[ "MIT" ]

2

2022-03-17T23:17:56.000Z

2022-03-23T01:08:58.000Z

""" Created on Wed March 30 11::00 2022 @author: Frédérique Leclerc """ from tracemalloc import start from numpy import number from Screen import Screen as Screen from PyQt5 import QtWidgets from PyQt5.QtWidgets import * from PyQt5.QtGui import QFont, QPixmap from PIL import Image #from Ergocycle.source.StartWindow import StartWindow from StartWindow import StartWindow from TestingWindow import TestingWindow from InstructionWindow import InstructionWindow from Parameters import Parameters from StimulationWindow import StimulationWindow from MainWindowStim import MainWindowStim from DangerPopUp import DangerPopUp import sys import datetime import time import csv from CommandButton import CommandButton as CommandButton # Take the code from main_sef.py and add getters and setters #def window(): #app = QApplication(sys.argv) #win = StartWindow() #win.show() #sys.exit(app.exec_()) #window() class StimulationScreen(Screen): def __init__(self, event_function): super(StimulationScreen, self).__init__(event_function) self.event_function = event_function self.current_menu = 0 self.danger_menu = 0 #self.now = datetime.datetime.now() ### 1.1. Permet de gérer les fenêtre apparaissant sur l'interface. ### def manage_active_window(self, stim_parameters): if self.window_counter == 0: self.current_menu = StartWindow() self.current_menu.training_button.clicked.connect(lambda : self.event_function("start_training")) self.current_menu.test_button.clicked.connect(lambda : self.event_function("start_test")) self.current_menu.show() # self.connect_buttons(self.current_menu) elif self.window_counter == -1: self.current_menu.close() self.current_menu = TestingWindow() self.current_menu.increase_amp_button.clicked.connect(lambda : self.event_function("increase_amp")) self.current_menu.increase_freq_button.clicked.connect(lambda : self.event_function("increase_frequency")) self.current_menu.increase_imp_button.clicked.connect(lambda : self.event_function("increase_imp")) self.current_menu.decrease_amp_button.clicked.connect(lambda : self.event_function("decrease_amp")) self.current_menu.decrease_freq_button.clicked.connect(lambda : self.event_function("decrease_frequency")) self.current_menu.decrease_imp_button.clicked.connect(lambda : self.event_function("decrease_imp")) self.current_menu.back_button.clicked.connect(lambda : self.event_function("back_button_clicked")) self.current_menu.show() elif self.window_counter == 1: self.current_menu.close() self.current_menu = MainWindowStim() self.current_menu.submit_button.clicked.connect(lambda : self.event_function("submit_button_clicked")) self.current_menu.submit_final_button.clicked.connect(lambda : self.event_function("submit_final_button_clicked")) self.current_menu.show() elif self.window_counter == -2: self.danger_menu = DangerPopUp(stim_parameters) self.danger_menu.show() self.danger_menu.back_to_menu_button.clicked.connect(lambda : self.back_to_menu_button_clicked()) self.danger_menu.continue_button.clicked.connect(lambda : self.continue_button_clicked(stim_parameters)) elif self.window_counter == 2: self.current_menu.close() self.current_menu = InstructionWindow(stim_parameters) self.current_menu.start_button.clicked.connect(lambda : self.event_function("start_stimulations")) self.current_menu.show() elif self.window_counter == 3: self.current_menu.close() self.current_menu = StimulationWindow(stim_parameters) self.current_menu.increase_amplitude1_button.clicked.connect(lambda : self.event_function("increase_amplitude1")) self.current_menu.increase_amplitude2_button.clicked.connect(lambda : self.event_function("increase_amplitude2")) self.current_menu.increase_amplitude3_button.clicked.connect(lambda : self.event_function("increase_amplitude3")) self.current_menu.increase_amplitude4_button.clicked.connect(lambda : self.event_function("increase_amplitude4")) self.current_menu.increase_amplitude5_button.clicked.connect(lambda : self.event_function("increase_amplitude5")) self.current_menu.increase_amplitude6_button.clicked.connect(lambda : self.event_function("increase_amplitude6")) self.current_menu.increase_amplitude7_button.clicked.connect(lambda : self.event_function("increase_amplitude7")) self.current_menu.increase_amplitude8_button.clicked.connect(lambda : self.event_function("increase_amplitude8")) self.current_menu.decrease_amplitude1_button.clicked.connect(lambda : self.event_function("decrease_amplitude1")) self.current_menu.decrease_amplitude2_button.clicked.connect(lambda : self.event_function("decrease_amplitude2")) self.current_menu.decrease_amplitude3_button.clicked.connect(lambda : self.event_function("decrease_amplitude3")) self.current_menu.decrease_amplitude4_button.clicked.connect(lambda : self.event_function("decrease_amplitude4")) self.current_menu.decrease_amplitude5_button.clicked.connect(lambda : self.event_function("decrease_amplitude5")) self.current_menu.decrease_amplitude6_button.clicked.connect(lambda : self.event_function("decrease_amplitude6")) self.current_menu.decrease_amplitude7_button.clicked.connect(lambda : self.event_function("decrease_amplitude7")) self.current_menu.decrease_amplitude8_button.clicked.connect(lambda : self.event_function("decrease_amplitude8")) self.current_menu.increase_frequency1_button.clicked.connect(lambda : self.event_function("increase_frequency1")) self.current_menu.increase_frequency2_button.clicked.connect(lambda : self.event_function("increase_frequency2")) self.current_menu.increase_frequency3_button.clicked.connect(lambda : self.event_function("increase_frequency3")) self.current_menu.increase_frequency4_button.clicked.connect(lambda : self.event_function("increase_frequency4")) self.current_menu.increase_frequency5_button.clicked.connect(lambda : self.event_function("increase_frequency5")) self.current_menu.increase_frequency6_button.clicked.connect(lambda : self.event_function("increase_frequency6")) self.current_menu.increase_frequency7_button.clicked.connect(lambda : self.event_function("increase_frequency7")) self.current_menu.increase_frequency8_button.clicked.connect(lambda : self.event_function("increase_frequency8")) self.current_menu.decrease_frequency1_button.clicked.connect(lambda : self.event_function("decrease_frequency1")) self.current_menu.decrease_frequency2_button.clicked.connect(lambda : self.event_function("decrease_frequency2")) self.current_menu.decrease_frequency3_button.clicked.connect(lambda : self.event_function("decrease_frequency3")) self.current_menu.decrease_frequency4_button.clicked.connect(lambda : self.event_function("decrease_frequency4")) self.current_menu.decrease_frequency5_button.clicked.connect(lambda : self.event_function("decrease_frequency5")) self.current_menu.decrease_frequency6_button.clicked.connect(lambda : self.event_function("decrease_frequency6")) self.current_menu.decrease_frequency7_button.clicked.connect(lambda : self.event_function("decrease_frequency7")) self.current_menu.decrease_frequency8_button.clicked.connect(lambda : self.event_function("decrease_frequency8")) self.current_menu.increase_imp1_button.clicked.connect(lambda : self.event_function("increase_imp1")) self.current_menu.increase_imp2_button.clicked.connect(lambda : self.event_function("increase_imp2")) self.current_menu.increase_imp3_button.clicked.connect(lambda : self.event_function("increase_imp3")) self.current_menu.increase_imp4_button.clicked.connect(lambda : self.event_function("increase_imp4")) self.current_menu.increase_imp5_button.clicked.connect(lambda : self.event_function("increase_imp5")) self.current_menu.increase_imp6_button.clicked.connect(lambda : self.event_function("increase_imp6")) self.current_menu.increase_imp7_button.clicked.connect(lambda : self.event_function("increase_imp7")) self.current_menu.increase_imp8_button.clicked.connect(lambda : self.event_function("increase_imp8")) self.current_menu.decrease_imp1_button.clicked.connect(lambda : self.event_function("decrease_imp1")) self.current_menu.decrease_imp2_button.clicked.connect(lambda : self.event_function("decrease_imp2")) self.current_menu.decrease_imp3_button.clicked.connect(lambda : self.event_function("decrease_imp3")) self.current_menu.decrease_imp4_button.clicked.connect(lambda : self.event_function("decrease_imp4")) self.current_menu.decrease_imp5_button.clicked.connect(lambda : self.event_function("decrease_imp5")) self.current_menu.decrease_imp6_button.clicked.connect(lambda : self.event_function("decrease_imp6")) self.current_menu.decrease_imp7_button.clicked.connect(lambda : self.event_function("decrease_imp7")) self.current_menu.decrease_imp8_button.clicked.connect(lambda : self.event_function("decrease_imp8")) self.current_menu.pauseWatch.pressed.connect(lambda : self.event_function("pause_stimulation")) self.current_menu.stop_button.clicked.connect(lambda : self.event_function("stop_stimulation")) self.current_menu.show() else: self.current_menu.close() def back_to_menu_button_clicked(self): self.danger_menu.close() # self.manage_active_window(stim_parameters) self.event_function("back_to_menu") def continue_button_clicked(self, stim_parameters): self.window_counter = 2 self.manage_active_window(stim_parameters) self.danger_menu.close() self.event_function("continue_to_instructions") ### 1.2. Création d'un fichier CSV lors de l'entraînement afin d'enregistrer les données de stimulations ### def create_csv_file(self, matrice): self.now = datetime.datetime.now() file = (self.now.strftime("%m-%d-%Y, %H;%M;%S")) path = "\\home\\pi\\Downloads\\stimulation_data_" # à commenter si vous travaillez sur votre ordinateur name_of_file = path+file+".csv" # à commenter si vous travaillez sur votre ordi #name_of_file = (self.now.strftime("%m-%d-%Y, %H;%M;%S"))+" stimulations_data.csv" # à décommenter si vous travaillez sur votre ordinateur with open(name_of_file, 'w',newline='') as f: fieldnames = ['Date and time', 'Electrode', 'Amplitude(mA)','Frequence(Hz)', 'Durée dimpulsion(us)', 'muscle'] thewriter = csv.DictWriter(f,fieldnames) thewriter.writeheader() now = datetime.datetime.now() date_time = now.strftime("%m-%d-%Y,%H:%M:%S") for i in range(8): muscle_name = self.get_muscle_traduction(matrice[3,i]) thewriter.writerow({'Date and time' : date_time, 'Electrode': str(i+1), 'Amplitude(mA)': str(matrice[0,i]) ,'Frequence(Hz)': str(matrice[1,i]), 'Durée dimpulsion(us)': str(matrice[2,i]), 'muscle': muscle_name}) f.close ### 1.3. Ajouter les modification des paramètres d'entraînement au même fichier CSV ### def save_data_in_csv_file(self, matrice): file = self.now.strftime("%m-%d-%Y, %H;%M;%S") path = "\\home\\pi\\Downloads\\stimulation_data_" # à commenter si vous travaillez sur votre ordi name_of_file = path+file+".csv" # à commenter si vous travaillez sur votre ordi #name_of_file = (self.now.strftime("%m-%d-%Y, %H;%M;%S"))+" stimulations_data.csv" # à décommenter si vous travaillez sur votre ordi with open(name_of_file, 'a+',newline='') as f: fieldnames = ['Date and time', 'Electrode', 'Amplitude(mA)','Frequence(Hz)', 'Durée dimpulsion(us)', 'muscle'] thewriter = csv.DictWriter(f,fieldnames) new_now = datetime.datetime.now() date_time = new_now.strftime("%m-%d-%Y,%H:%M:%S") if matrice == []: for i in range(8): thewriter.writerow({'Date and time' : date_time, 'Electrode': str(i+1), 'Amplitude(mA)': str(0) ,'Frequence(Hz)': str(0), 'Durée dimpulsion(us)': str(0), 'muscle': str(0)}) else: for i in range(8): muscle_name = self.get_muscle_traduction(matrice[3,i]) thewriter.writerow({'Date and time' : date_time, 'Electrode': str(i+1), 'Amplitude(mA)': str(matrice[0,i]) ,'Frequence(Hz)': str(matrice[1,i]), 'Durée dimpulsion(us)': str(matrice[2,i]), 'muscle': muscle_name}) f.close ### 1.4. Traduit les muscles de chiffre à nom pour l'enregistrements des données ### def get_muscle_traduction(self, muscle_number): if muscle_number == 0: muscle = "Aucun" if muscle_number == 1: muscle = "Biceps Brachii" if muscle_number== 2: muscle = "Triceps Brachii" if muscle_number == 3: muscle = "Deltoide Postérieur" if muscle_number == 4: muscle = "Deltoide Antérieur" return(muscle)

65.924883

230

0.703319

1,671

14,042

5.64991

0.13465

0.092045

0.125516

0.173499

0.596123

0.556933

0.539456

0.514458

0.146489

0

0.013097

0.189788

14,042

212

231

66.235849

0.816736

0.083464

0

0.186747

0

0.131055

0.011857

0

1

0.042169

false

0

0.114458

0

0.162651

0

null

0

1

0

null

0

1

7f667e0c792310a6ca90389cd7acf95cb20a0aed

3,631

py

Python

matrix_procedures/load_dataset_class.py

jamiecook/AequilibraE

b1013d59cbeaf6fc4e1a944cf31f20460a2a4156

[ "MIT" ]

null

matrix_procedures/load_dataset_class.py

jamiecook/AequilibraE

b1013d59cbeaf6fc4e1a944cf31f20460a2a4156

[ "MIT" ]

null

matrix_procedures/load_dataset_class.py

jamiecook/AequilibraE

b1013d59cbeaf6fc4e1a944cf31f20460a2a4156

[ "MIT" ]

null

""" ----------------------------------------------------------------------------------------------------------- Package: AequilibraE Name: Loads datasets into AequilibraE binary files Purpose: Implements dataset creation Original Author: Pedro Camargo (c@margo.co) Contributors: Last edited by: Pedro Camargo Website: www.AequilibraE.com Repository: https://github.com/AequilibraE/AequilibraE Created: 2016-08-15 (Initially as vector loading) Updated: 2017-10-02 Copyright: (c) AequilibraE authors Licence: See LICENSE.TXT ----------------------------------------------------------------------------------------------------------- """ from PyQt4.QtCore import * import numpy as np from ..common_tools.worker_thread import WorkerThread import struct from ..aequilibrae.matrix import AequilibraEData from ..common_tools.global_parameters import * class LoadDataset(WorkerThread): def __init__(self, parent_thread, layer, index_field, fields, file_name): WorkerThread.__init__(self, parent_thread) self.layer = layer self.index_field = index_field self.fields = fields self.error = None self.python_version = (8 * struct.calcsize("P")) self.output = AequilibraEData() self.output_name = file_name def doWork(self): feat_count = self.layer.featureCount() self.emit(SIGNAL("ProgressMaxValue( PyQt_PyObject )"), feat_count) # Create specification for the output file datafile_spec = {'entries': feat_count} if self.output_name is None: datafile_spec['memory_mode'] = True else: datafile_spec['memory_mode'] = False fields = [] types = [] idxs = [] empties = [] for field in self.layer.dataProvider().fields().toList(): if field.name() in self.fields: if field.type() in integer_types: types.append('<i8') empties.append(np.iinfo(np.int64).min) elif field.type() in float_types: types.append('<f8') empties.append(np.nan) elif field.type() in string_types: types.append('S' + str(field.length())) empties.append('') else: print field.type() self.error = 'Field {} does has a type not supported.'.format(str(field.name())) break fields.append(str(field.name())) idxs.append(self.layer.fieldNameIndex(field.name())) index_idx = self.layer.fieldNameIndex(self.index_field) datafile_spec['field_names'] = fields datafile_spec['data_types'] = types datafile_spec['file_path'] = self.output_name if self.error is None: self.output.create_empty(**datafile_spec) # Get all the data for p, feat in enumerate(self.layer.getFeatures()): for idx, field, empty in zip(idxs, fields, empties): if isinstance(feat.attributes()[idx], QPyNullVariant): self.output.data[field][p] = empty else: self.output.data[field][p] = feat.attributes()[idx] self.output.index[p] = feat.attributes()[index_idx] self.emit(SIGNAL("ProgressValue( PyQt_PyObject )"), p) self.emit(SIGNAL("ProgressValue( PyQt_PyObject )"), int(feat_count)) self.emit(SIGNAL("finished_threaded_procedure( PyQt_PyObject )"), 'Done')

39.043011

108

0.56238

378

3,631

5.26455

0.407407

0.040201

0.028141

0.020101

0.059296

0.039196

0

0.008397

0.278436

3,631

92

109

39.467391

0.751145

0.015698

0

0.04918

0

0.085497

0.009692

0

null

0

0.098361

null

0.016393

0

null

0

null

0

1

0

1

7f696039cf0e21135e93815d60394b72a34a443f

1,040

py

Python

app/api/routes/server/plot_queue.py

cPoolChia/ChiaAutoplotter-Backend

8d875c1f846df395ddc76e3d84b36da45ad4d557

[ "MIT" ]

7

2021-06-01T09:20:34.000Z

2021-10-12T07:24:04.000Z

app/api/routes/server/plot_queue.py

cPoolChia/ChiaFarmerManager-Backend

8d875c1f846df395ddc76e3d84b36da45ad4d557

[ "MIT" ]

null

app/api/routes/server/plot_queue.py

cPoolChia/ChiaFarmerManager-Backend

8d875c1f846df395ddc76e3d84b36da45ad4d557

[ "MIT" ]

1

2021-05-31T13:08:14.000Z

from typing import Any from uuid import UUID, uuid4 import celery from app import crud, models, schemas from app.api import deps from app.core.config import settings from app.utils import auth from app.core import tasks from fastapi import APIRouter, Depends, HTTPException, Body, Query from sqlalchemy.orm import Session from fastapi_utils.cbv import cbv from fastapi_utils.inferring_router import InferringRouter from app.api.routes.base import BaseAuthCBV router = InferringRouter() @cbv(router) class QueueCBV(BaseAuthCBV): @router.get("/") def get_queues_table( self, server: models.Server = Depends(deps.get_server_by_id), filtration: schemas.FilterData[models.Plot] = Depends( deps.get_filtration_data(models.Plot) ), ) -> schemas.Table[schemas.PlotQueueReturn]: amount, items = crud.plot_queue.get_multi_by_server( self.db, server=server, filtration=filtration ) return schemas.Table[schemas.PlotQueueReturn](amount=amount, items=items)

32.5

81

0.740385

134

1,040

5.641791

0.41791

0.055556

0.026455

0.089947

0.10582

0

0.001171

0.178846

1,040

32

81

32.5

0.884075

0

0.000961

0

1

0.035714

false

0

0.464286

0

0.571429

0

null

0

null

0

1

0

1

7f6d004764ff3c98efc96ebb1cf1f394bc32a7c1

440

py

Python

example_pkg/Parrots.py

TillWeinhold/EQUSWORKSHOPTill

95099cc8d8ebc93b53db6d9e9b4c67051fcb7763

[ "MIT" ]

null

example_pkg/Parrots.py

TillWeinhold/EQUSWORKSHOPTill

95099cc8d8ebc93b53db6d9e9b4c67051fcb7763

[ "MIT" ]

null

example_pkg/Parrots.py

TillWeinhold/EQUSWORKSHOPTill

95099cc8d8ebc93b53db6d9e9b4c67051fcb7763

[ "MIT" ]

null

class Parrot(): def __init__(self, squawk, is_alive=True): self.squawk = squawk self.is_alive = is_alive african_grey = Parrot('Polly want a Cracker?') norwegian_blue = Parrot('', is_alive=False) def squawk(self): if self.is_alive: return self.squawk else: return None african_grey.squawk() norwegian_blue.squawk() def set_alive(self, is_alive): self.is_alive = is_alive

22

46

0.652273

60

440

4.5

0.383333

0.207407

0.162963

0.096296

0.133333

0

0.245455

440

20

47

22

0.813253

0

0.133333

0

0.047619

0

1

0.2

false

0

0.4

0

null

1

0

null

0

1

7f6f7feeb11eb05bb310cec5c813b37346f053c2

226

py

Python

Codility/python/problem2.py

rayguang/ratesbuddy

ec97f85201812967bb3380bba6de41bdb223eab6

[ "MIT" ]

null

Codility/python/problem2.py

rayguang/ratesbuddy

ec97f85201812967bb3380bba6de41bdb223eab6

[ "MIT" ]

null

Codility/python/problem2.py

rayguang/ratesbuddy

ec97f85201812967bb3380bba6de41bdb223eab6

[ "MIT" ]

null

def solution(S, K): # write your code in Python 3.6 day_dict = {0:'Mon', 1:'Tue', 2:'Wed', 3:'Thu', 4:'Fri', 5:'Sat', 6:'Sun'} return day_dict[list(day_dict.values()).index(S)+K] S='Wed' K=2 print(solution(S,K))

22.6

78

0.584071

45

226

2.866667

0.666667

0.046512

0.155039

0

0.053191

0.168142

226

9

79

25.111111

0.632979

0.128319

0

0.123077

0

1

0.166667

false

0

0.333333

0.166667

0

null

0

1

0

null

0

1

7f7574b64532b1f7794103ece680d1785b89f64b

210

py

Python

tests/Auth_Test.py

PyDO-Team/PyDO-Old

a89d9d30aee72a42ce3afdd90b5b297e7b908d73

[ "BSD-3-Clause" ]

1

2021-02-23T12:54:05.000Z

tests/Auth_Test.py

PyDO-Team/PyDO-Old

a89d9d30aee72a42ce3afdd90b5b297e7b908d73

[ "BSD-3-Clause" ]

null

tests/Auth_Test.py

PyDO-Team/PyDO-Old

a89d9d30aee72a42ce3afdd90b5b297e7b908d73

[ "BSD-3-Clause" ]

1

2021-02-23T12:54:07.000Z

from TestOutput import LogManager class Auth_Test: def __init__(self): self.logger = LogManager('AuthTest') self.logger.writeTestEvent('AuthTest', 'Test Started') if __name__ == "__main__": Auth_Test()

21

56

0.747619

25

210

5.72

0.68

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0.128571

210

10

57

21

0.781421

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0.170616

0

1

0.142857

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0.142857

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0.428571

0

1

0

null

0

null

0

1

7f7cecbd7d8387712e80404ab9516b060333f0e5

444

py

Python

timeblock/stopwatch.py

daustin391/timeblock

1895f95205100f2f191feccbb1bcb90672aae043

[ "MIT" ]

null

timeblock/stopwatch.py

daustin391/timeblock

1895f95205100f2f191feccbb1bcb90672aae043

[ "MIT" ]

null

timeblock/stopwatch.py

daustin391/timeblock

1895f95205100f2f191feccbb1bcb90672aae043

[ "MIT" ]

null

""" Stopwatch A simple stopwatch for measuring time """ from datetime import datetime class Stopwatch: """Stopwatch object for measuring time""" def __init__(self): self._start = None def start(self): """Starts watch by setting start time to now""" self._start = datetime.now() def check(self): """Check the time passed since watch started""" return self._start - datetime.now()

22.2

55

0.635135

54

444

5.092593

0.518519

0.098182

0.116364

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0.261261

444

19

56

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0.838415

0.376126

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0.75

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null

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null

0

1

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1

7f7d50f6a8fff49e5e4da85906cece438d04d0c3

623

py

Python

src/data/mnist_converter.py

laurabondeholst/Mapping_high_dimensional_data

208c1024d3984cf60fc2f54b7bfdffaa83c60157

[ "MIT" ]

null

src/data/mnist_converter.py

laurabondeholst/Mapping_high_dimensional_data

208c1024d3984cf60fc2f54b7bfdffaa83c60157

[ "MIT" ]

null

src/data/mnist_converter.py

laurabondeholst/Mapping_high_dimensional_data

208c1024d3984cf60fc2f54b7bfdffaa83c60157

[ "MIT" ]

null

""" Takes the MNIST dataset as input (images and labels separated) and creates a new dataset only with 0's and 1's """ import numpy as np DATA_PATH = "data/raw/" OUTPUT_PATH = "data/processed/mnist/" X = np.loadtxt(DATA_PATH + "mnist2500_X.txt") labels = np.loadtxt(DATA_PATH + "mnist2500_labels.txt") X_new = [] labels_new = [] for i,label in enumerate(labels): if label < 5: labels_new.append(label) X_new.append(X[i]) if i%100 == 0: print(f"{i} labels passed") np.savetxt(OUTPUT_PATH + "mnist2500_X_01234.txt",X_new) np.savetxt(OUTPUT_PATH +"mnist2500_labels_01234.txt",labels_new)

25.958333

64

0.693419

102

623

4.058824

0.431373

0.125604

0.062802

0.082126

0.26087

0

0.064078

0.173355

623

24

64

25.958333

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0.176565

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1

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false

0.066667

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0.066667

0

null

0

null

0

1

0

1

7f7df73d539af4f42bcbde355e7bdef39b43dc8a

7,364

py

Python

models/pytorch_gcn.py

SamGalanakis/FlowCompare

ed26e48298fe42cf9ddcc252c19b502b4a71d54e

[ "MIT" ]

5

2021-05-22T23:14:19.000Z

2022-02-19T14:11:27.000Z

models/pytorch_gcn.py

SamGalanakis/PointFlowChange

ed26e48298fe42cf9ddcc252c19b502b4a71d54e

[ "MIT" ]

1

2021-06-05T11:20:53.000Z

2021-06-05T12:30:44.000Z

models/pytorch_gcn.py

SamGalanakis/PointFlowChange

ed26e48298fe42cf9ddcc252c19b502b4a71d54e

[ "MIT" ]

null

import os import sys import copy import math import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from models.nets import MLP # Original code from : https://github.com/WangYueFt/dgcnn/blob/master/pytorch/model.py def knn(x, k): inner = -2*torch.matmul(x.transpose(2, 1), x) xx = torch.sum(x**2, dim=1, keepdim=True) pairwise_distance = -xx - inner - xx.transpose(2, 1) # (batch_size, num_points, k) idx = pairwise_distance.topk(k=k, dim=-1)[1] return idx def get_graph_feature(x, k=20, idx=None): batch_size = x.size(0) num_points = x.size(2) x = x.view(batch_size, -1, num_points) if idx is None: idx = knn(x, k=k) # (batch_size, num_points, k) idx_base = torch.arange( 0, batch_size, device=x.device).view(-1, 1, 1)*num_points idx = idx + idx_base idx = idx.view(-1) _, num_dims, _ = x.size() # (batch_size, num_points, num_dims) -> (batch_size*num_points, num_dims) # batch_size * num_points * k + range(0, batch_size*num_points) x = x.transpose(2, 1).contiguous() feature = x.view(batch_size*num_points, -1)[idx, :] feature = feature.view(batch_size, num_points, k, num_dims) x = x.view(batch_size, num_points, 1, num_dims).repeat(1, 1, k, 1) feature = torch.cat((feature-x, x), dim=3).permute(0, 3, 1, 2).contiguous() return feature class DGCNNembedder(nn.Module): """DGCNN embedder with n_points x embedding dim as output""" def __init__(self, out_mlp_dims, emb_dim=22, dropout=0, n_neighbors=20): super().__init__() self.n_neighbors = n_neighbors self.bn1 = nn.BatchNorm2d(64) self.bn2 = nn.BatchNorm2d(64) self.bn3 = nn.BatchNorm2d(128) self.bn4 = nn.BatchNorm2d(256) self.bn5 = nn.BatchNorm1d(512) self.conv1 = nn.Sequential(nn.Conv2d(12, 64, kernel_size=1, bias=False), self.bn1, nn.LeakyReLU(negative_slope=0.2)) self.conv2 = nn.Sequential(nn.Conv2d(64*2, 64, kernel_size=1, bias=False), self.bn2, nn.LeakyReLU(negative_slope=0.2)) self.conv3 = nn.Sequential(nn.Conv2d(64*2, 128, kernel_size=1, bias=False), self.bn3, nn.LeakyReLU(negative_slope=0.2)) self.conv4 = nn.Sequential(nn.Conv2d(128*2, 256, kernel_size=1, bias=False), self.bn4, nn.LeakyReLU(negative_slope=0.2)) self.conv5 = nn.Sequential(nn.Conv1d(512, 512, kernel_size=1, bias=False), self.bn5, nn.LeakyReLU(negative_slope=0.2)) self.out_mlp = MLP(512, out_mlp_dims, emb_dim, torch.nn.GELU()) def forward(self, x): batch_size = x.size(0) x = x.permute((0, 2, 1)) x = get_graph_feature(x, k=self.n_neighbors) x = self.conv1(x) x1 = x.max(dim=-1, keepdim=False)[0] x = get_graph_feature(x1, self.n_neighbors) x = self.conv2(x) x2 = x.max(dim=-1, keepdim=False)[0] x = get_graph_feature(x2, k=self.n_neighbors) x = self.conv3(x) x3 = x.max(dim=-1, keepdim=False)[0] x = get_graph_feature(x3, k=self.n_neighbors) x = self.conv4(x) x4 = x.max(dim=-1, keepdim=False)[0] x = torch.cat((x1, x2, x3, x4),dim=1) x = self.conv5(x).permute((0, 2, 1)) x = self.out_mlp(x) return x class DGCNNembedderGlobal(nn.Module): """DGCNN embedder with single embedding vector as output""" def __init__(self, input_dim, out_mlp_dims, emb_dim=22, n_neighbors=20): super().__init__() self.n_neighbors = n_neighbors self.input_dim = input_dim self.bn1 = nn.BatchNorm2d(64) self.bn2 = nn.BatchNorm2d(64) self.bn3 = nn.BatchNorm2d(128) self.bn4 = nn.BatchNorm2d(256) self.bn5 = nn.BatchNorm1d(512) self.conv1 = nn.Sequential(nn.Conv2d(self.input_dim*2, 64, kernel_size=1, bias=False), self.bn1, nn.LeakyReLU(negative_slope=0.2)) self.conv2 = nn.Sequential(nn.Conv2d(64*2, 64, kernel_size=1, bias=False), self.bn2, nn.LeakyReLU(negative_slope=0.2)) self.conv3 = nn.Sequential(nn.Conv2d(64*2, 128, kernel_size=1, bias=False), self.bn3, nn.LeakyReLU(negative_slope=0.2)) self.conv4 = nn.Sequential(nn.Conv2d(128*2, 256, kernel_size=1, bias=False), self.bn4, nn.LeakyReLU(negative_slope=0.2)) self.conv5 = nn.Sequential(nn.Conv1d(512, 512, kernel_size=1, bias=False), self.bn5, nn.LeakyReLU(negative_slope=0.2)) self.out_mlp = MLP(512*2, out_mlp_dims, emb_dim, torch.nn.GELU()) def forward(self, x): batch_size = x.size(0) x = x.permute((0, 2, 1)) # (batch_size, 3, num_points) -> (batch_size, 3*2, num_points, k) x = get_graph_feature(x, k=self.n_neighbors) # (batch_size, 3*2, num_points, k) -> (batch_size, 64, num_points, k) x = self.conv1(x) # (batch_size, 64, num_points, k) -> (batch_size, 64, num_points) x1 = x.max(dim=-1, keepdim=False)[0] # (batch_size, 64, num_points) -> (batch_size, 64*2, num_points, k) x = get_graph_feature(x1, k=self.n_neighbors) # (batch_size, 64*2, num_points, k) -> (batch_size, 64, num_points, k) x = self.conv2(x) # (batch_size, 64, num_points, k) -> (batch_size, 64, num_points) x2 = x.max(dim=-1, keepdim=False)[0] # (batch_size, 64, num_points) -> (batch_size, 64*2, num_points, k) x = get_graph_feature(x2, k=self.n_neighbors) # (batch_size, 64*2, num_points, k) -> (batch_size, 128, num_points, k) x = self.conv3(x) # (batch_size, 128, num_points, k) -> (batch_size, 128, num_points) x3 = x.max(dim=-1, keepdim=False)[0] # (batch_size, 128, num_points) -> (batch_size, 128*2, num_points, k) x = get_graph_feature(x3, k=self.n_neighbors) # (batch_size, 128*2, num_points, k) -> (batch_size, 256, num_points, k) x = self.conv4(x) # (batch_size, 256, num_points, k) -> (batch_size, 256, num_points) x4 = x.max(dim=-1, keepdim=False)[0] # (batch_size, 64+64+128+256, num_points) x = torch.cat((x1, x2, x3, x4), dim=1) # (batch_size, 64+64+128+256, num_points) -> (batch_size, emb_dims, num_points) x = self.conv5(x) # (batch_size, emb_dims, num_points) -> (batch_size, emb_dims) x1 = F.adaptive_max_pool1d(x, 1).view(batch_size, -1) # (batch_size, emb_dims, num_points) -> (batch_size, emb_dims) x2 = F.adaptive_avg_pool1d(x, 1).view(batch_size, -1) x = torch.cat((x1, x2), 1) # (batch_size, emb_dims*2) # (batch_size, 256) -> (batch_size, output_channels) x = self.out_mlp(x) return x

38.354167

144

0.562873

1,073

7,364

3.674744

0.11836

0.114126

0.050723

0.038042

0.767182

0.707583

0.667766

0.623383

0.570124

0.518133

0

0.070986

0.297936

7,364

191

145

38.554974

0.691683

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0

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false

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0.169355

0

null

0

1

0

null

0

1

7f8384a311353de10a642c69e9df0c76f447b11c

1,565

py

Python

trisicell/ul/__init__.py

faridrashidi/trisicell

4db89edd44c03ccb6c7d3477beff0079c3ff8035

[ "BSD-3-Clause" ]

2

2021-07-02T13:53:15.000Z

2021-11-16T03:14:36.000Z

trisicell/ul/__init__.py

faridrashidi/trisicell

4db89edd44c03ccb6c7d3477beff0079c3ff8035

[ "BSD-3-Clause" ]

58

2021-06-14T17:14:39.000Z

2022-03-11T19:32:54.000Z

trisicell/ul/__init__.py

faridrashidi/trisicell

4db89edd44c03ccb6c7d3477beff0079c3ff8035

[ "BSD-3-Clause" ]

null

"""Utils Module.""" from trisicell.ul._hclustering import ( dist_cosine_ignore_na, dist_dendro, dist_l1_ignore_na, hclustering, ) from trisicell.ul._packages import ( import_graph_tool, import_graphviz, import_gurobi, import_mpi4py, import_rpy2, ) from trisicell.ul._trees import ( cells_rooted_at, is_leaf, muts_rooted_at, partition_cells, root_id, to_cfmatrix, to_mtree, to_tree, ) from trisicell.ul._utils import ( calc_score_tree, cleanup, count_flips, dir_base, dirbase, executable, get_file, get_param, infer_rates, is_conflict_free, is_conflict_free_gusfield, log_flip, log_input, log_output, mkdir, remove, split_mut, stat, timeit, tmpdir, tmpdirsys, tmpfile, tqdm_joblib, with_timeout, ) __all__ = ( dist_cosine_ignore_na, dist_dendro, dist_l1_ignore_na, hclustering, import_graph_tool, import_graphviz, import_gurobi, import_mpi4py, import_rpy2, cells_rooted_at, muts_rooted_at, partition_cells, root_id, to_cfmatrix, to_mtree, to_tree, calc_score_tree, cleanup, dir_base, dirbase, get_file, get_param, infer_rates, is_conflict_free, is_conflict_free_gusfield, log_flip, log_input, log_output, mkdir, remove, stat, timeit, tmpdir, tmpdirsys, tmpfile, tqdm_joblib, with_timeout, is_leaf, executable, split_mut, count_flips, )

16.302083

39

0.651118

187

1,565

4.967914

0.368984

0.055974

0.064586

0.038751

0.688913

0.574812

0

0.005324

0.279872

1,565

95

40

16.473684

0.818988

0.008307

0

0.891304

0

1

0

false

0

0.152174

0

0.152174

0

null

0

1

0

null

0

1

7f83ab03f9f78c70886157722d2f935b1bea1759

2,137

py

Python

utils/pktgen/sender.py

lilyhuegerich/No-hop

2e82af6c8036312c35b3f2338c776863416ea043

[ "MIT" ]

null

utils/pktgen/sender.py

lilyhuegerich/No-hop

2e82af6c8036312c35b3f2338c776863416ea043

[ "MIT" ]

1

2021-02-15T17:29:03.000Z

utils/utils-backup/pktgen/sender.py

guiladkatz/NetAction

436c5ac9dcf0e2064bcc9a2facca556828de6703

[ "Apache-2.0" ]

1

2021-04-18T18:24:59.000Z

#!/usr/bin/env python import argparse, sys, socket, random, struct, time from scapy.all import sendp, send, get_if_list, get_if_list, get_if_hwaddr, hexdump from scapy.all import Packet from scapy.all import Ether, IP, IPv6, UDP, TCP sip_port=5060 def get_if(): iface=None for i in get_if_list(): # find hx-eth0 if "eth0" in i: iface=i; break; if not iface: print "Cannot find eth0 interface" exit(1) return iface def main(): parser = argparse.ArgumentParser() parser.add_argument('-v', type=str, help="Specify using (4)IPv4/(6)IPv6.") parser.add_argument('--ip', type=str, help="The destination IP address.") parser.add_argument('--loop', type=int, help="Number of loop.", default=0) parser.add_argument('--msg', type=str, help="The message which will send to dst.",default="Hello World") parser.add_argument('--dport', type=int, help="TCP/UDP source port.", default=1234) parser.add_argument('--sport', type=int, help="TCP/UDP destination port.", default=random.randint(49152,65535)) args = parser.parse_args() addr = socket.gethostbyname(args.ip) iface = get_if() # start to pack if args.v is "4": print "sending on interface {} to IP addr {}".format(iface, str(addr)) for x in range(0, args.loop): pkt = Ether(src=get_if_hwaddr(iface), dst='ff:ff:ff:ff:ff:ff') pkt = pkt / IP(dst=addr) / TCP(dport=args.dport, sport=args.sport) / args.msg # show pkt.show2() # send sendp(pkt, iface=iface, verbose=False) # sleep time.sleep(1) elif args.v is "6": print "sending on interface {} to IPv6 addr {}".format(iface, str(addr)) for x in range(0, args.loop): pkt = Ether(src=get_if_hwaddr(iface), dst='ff:ff:ff:ff:ff:ff') pkt = pkt / IPv6(dst=addr) / TCP(dport=args.dport, sport=args.sport) / args.msg # show pkt.show2() # send sendp(pkt, iface=iface, verbose=False) if __name__ == '__main__': main()

35.032787

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0.602714

309

2,137

4.071197

0.346278

0.031797

0.038156

0.372814

0.287758

0

0.02327

0.255966

2,137

60

116

35.616667

0.767925

0.035096

0

0.186047

0

0.16756

0

null

0

0.093023

null

0.069767

0

null

0

null

0

1

0

1

7f83fb54d3d89551adb5762f761b61b33bff3c08

950

py

Python

maze/models.py

TerryHowe/pymaze

139f15fb8e932c1cf1e63f5c5aee7895691e993f

[ "MIT" ]

1

2020-12-14T04:01:08.000Z

maze/models.py

TerryHowe/pymaze

139f15fb8e932c1cf1e63f5c5aee7895691e993f

[ "MIT" ]

null

maze/models.py

TerryHowe/pymaze

139f15fb8e932c1cf1e63f5c5aee7895691e993f

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models # Create your models here. class Passage(models.Model): DIRECTIONS = ( ('N', 'North'), ('E', 'East'), ('S', 'South'), ('W', 'West'), ('U', 'Up'), ('D', 'Down'), ) room_x = models.IntegerField() room_y = models.IntegerField() direction = models.CharField(max_length=1, choices=DIRECTIONS) destination = models.OneToOneField('self', null=True, blank=True, on_delete=models.CASCADE) @classmethod def get_direction(cls, direction): return dict(cls.DIRECTIONS).get(direction, 'Nowhere') def __str__(self): return(self.__repr__()) def __repr__(self): dest = str(self.destination.id) if self.destination else 'None' return('Passage(id=%d, room_x=%d, room_y=%d, direction=%s, destination=%s)' % (self.id, self.room_x, self.room_y, self.direction, dest)) class Meta: unique_together = (('room_x', 'room_y', 'direction'),)

25.675676

138

0.676842

128

950

4.796875

0.515625

0.032573

0

0.002448

0.14

950

36

139

26.388889

0.749082

0.048421

0

0.037037

0.146504

0

1

0.111111

false

0.074074

0.481481

0

null

0

null

0

1

0

1